From d9226888b20d9f182cbe889fd342aae69eef7c8f Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@agpt.co>
Date: Fri, 21 Jun 2024 20:50:50 +0400
Subject: [PATCH 01/23] feat(rnd): Add node metadata on Agent Server Node
 object (#7237)

---
 rnd/autogpt_server/autogpt_server/data/graph.py | 3 +++
 rnd/autogpt_server/schema.prisma                | 3 +++
 2 files changed, 6 insertions(+)

diff --git a/rnd/autogpt_server/autogpt_server/data/graph.py b/rnd/autogpt_server/autogpt_server/data/graph.py
index 8d03e272b8d0..103da14d6d88 100644
--- a/rnd/autogpt_server/autogpt_server/data/graph.py
+++ b/rnd/autogpt_server/autogpt_server/data/graph.py
@@ -15,6 +15,7 @@ class Node(BaseDbModel):
     # TODO: Make it `dict[str, list[str]]`, output can be connected to multiple blocks.
     #       Other option is to use an edge-list, but it will complicate the rest code.
     output_nodes: dict[str, str] = {}  # dict[output_name, node_id]
+    metadata: dict[str, Any] = {}
 
     @staticmethod
     def from_db(node: AgentNode):
@@ -27,6 +28,7 @@ def from_db(node: AgentNode):
             input_default=json.loads(node.constantInput),
             input_nodes={v.sinkName: v.agentNodeSourceId for v in node.Input or []},
             output_nodes={v.sourceName: v.agentNodeSinkId for v in node.Output or []},
+            metadata=json.loads(node.metadata),
         )
 
     def connect(self, node: "Node", source_name: str, sink_name: str):
@@ -133,6 +135,7 @@ async def create_graph(graph: Graph) -> Graph:
             "agentBlockId": node.block_id,
             "agentGraphId": graph.id,
             "constantInput": json.dumps(node.input_default),
+            "metadata": json.dumps(node.metadata),
         }) for node in graph.nodes
     ])
 
diff --git a/rnd/autogpt_server/schema.prisma b/rnd/autogpt_server/schema.prisma
index 691683ece2ca..a4b37e083956 100644
--- a/rnd/autogpt_server/schema.prisma
+++ b/rnd/autogpt_server/schema.prisma
@@ -37,6 +37,9 @@ model AgentNode {
   // JSON serialized dict[str, str] containing predefined input values.
   constantInput String @default("{}")
 
+  // JSON serialized dict[str, str] containing the node metadata.
+  metadata String @default("{}")
+
   ExecutionHistory AgentNodeExecution[]
 }
 

From 9f1e5218578f3eae08f2a6211438b484a0aef3ba Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@agpt.co>
Date: Mon, 24 Jun 2024 06:41:02 +0400
Subject: [PATCH 02/23] feat(rnd): Add AutoGPT server scheduling service
 (#7226)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### Background

Agent execution should be able to be triggered in a recurring manner.
This PR introduced an ExecutionScheduling service, a process responsible for managing the execution schedule and triggering its execution based on a predefined cron expression.

### Changes 🏗️

* Added `scheduler.py` / `ExecutionScheduler` implementation.
* Added scheduler test.
* Added `AgentExecutionSchedule` table and its logical model & prisma queries.
* Moved `add_execution` from API server to `execution_manager`
---
 rnd/autogpt_server/autogpt_server/app.py      |   2 +-
 .../autogpt_server/data/schedule.py           |  89 ++++++++++++
 .../autogpt_server/executor/manager.py        |  90 +++++++++----
 .../autogpt_server/executor/scheduler.py      |  77 +++++++++--
 .../autogpt_server/server/server.py           | 107 +++++++--------
 .../autogpt_server/util/service.py            |  14 +-
 rnd/autogpt_server/poetry.lock                | 127 +++++++++++++++++-
 rnd/autogpt_server/pyproject.toml             |   6 +
 rnd/autogpt_server/schema.prisma              |  20 ++-
 .../test/executor/test_manager.py             |  30 ++---
 .../test/executor/test_scheduler.py           |  33 +++++
 rnd/autogpt_server/test/util/test_service.py  |   3 -
 12 files changed, 474 insertions(+), 124 deletions(-)
 create mode 100644 rnd/autogpt_server/autogpt_server/data/schedule.py
 create mode 100644 rnd/autogpt_server/test/executor/test_scheduler.py

diff --git a/rnd/autogpt_server/autogpt_server/app.py b/rnd/autogpt_server/autogpt_server/app.py
index 0f1b02c00753..298852129648 100644
--- a/rnd/autogpt_server/autogpt_server/app.py
+++ b/rnd/autogpt_server/autogpt_server/app.py
@@ -22,8 +22,8 @@ def main(**kwargs):
     run_processes(
         [
             PyroNameServer(),
-            ExecutionScheduler(),
             ExecutionManager(pool_size=5),
+            ExecutionScheduler(),
             AgentServer(),
         ],
         **kwargs
diff --git a/rnd/autogpt_server/autogpt_server/data/schedule.py b/rnd/autogpt_server/autogpt_server/data/schedule.py
new file mode 100644
index 000000000000..d657300b8a64
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/data/schedule.py
@@ -0,0 +1,89 @@
+import json
+from datetime import datetime
+from typing import Optional, Any
+
+from prisma.models import AgentExecutionSchedule
+
+from autogpt_server.data.db import BaseDbModel
+
+
+class ExecutionSchedule(BaseDbModel):
+    id: str
+    agent_id: str
+    schedule: str
+    is_enabled: bool
+    input_data: dict[str, Any]
+    last_updated: Optional[datetime] = None
+
+    def __init__(
+            self,
+            is_enabled: Optional[bool] = None,
+            **kwargs
+    ):
+        if is_enabled is None:
+            is_enabled = True
+        super().__init__(is_enabled=is_enabled, **kwargs)
+
+    @staticmethod
+    def from_db(schedule: AgentExecutionSchedule):
+        return ExecutionSchedule(
+            id=schedule.id,
+            agent_id=schedule.agentGraphId,
+            schedule=schedule.schedule,
+            is_enabled=schedule.isEnabled,
+            last_updated=schedule.lastUpdated.replace(tzinfo=None),
+            input_data=json.loads(schedule.inputData),
+        )
+
+
+async def get_active_schedules(last_fetch_time: datetime) -> list[ExecutionSchedule]:
+    query = AgentExecutionSchedule.prisma().find_many(
+        where={
+            "isEnabled": True,
+            "lastUpdated": {"gt": last_fetch_time}
+        },
+        order={"lastUpdated": "asc"}
+    )
+    return [
+        ExecutionSchedule.from_db(schedule)
+        for schedule in await query
+    ]
+
+
+async def disable_schedule(schedule_id: str):
+    await AgentExecutionSchedule.prisma().update(
+        where={"id": schedule_id},
+        data={"isEnabled": False}
+    )
+
+
+async def get_schedules(agent_id: str) -> list[ExecutionSchedule]:
+    query = AgentExecutionSchedule.prisma().find_many(
+        where={
+            "isEnabled": True,
+            "agentGraphId": agent_id,
+        },
+    )
+    return [
+        ExecutionSchedule.from_db(schedule)
+        for schedule in await query
+    ]
+
+
+async def add_schedule(schedule: ExecutionSchedule):
+    await AgentExecutionSchedule.prisma().create(
+        data={
+            "id": schedule.id,
+            "agentGraphId": schedule.agent_id,
+            "schedule": schedule.schedule,
+            "isEnabled": schedule.is_enabled,
+            "inputData": json.dumps(schedule.input_data),
+        }
+    )
+
+
+async def update_schedule(schedule_id: str, is_enabled: bool):
+    await AgentExecutionSchedule.prisma().update(
+        where={"id": schedule_id},
+        data={"isEnabled": is_enabled}
+    )
diff --git a/rnd/autogpt_server/autogpt_server/executor/manager.py b/rnd/autogpt_server/autogpt_server/executor/manager.py
index 7fd282ebeceb..5296f0c8635b 100644
--- a/rnd/autogpt_server/autogpt_server/executor/manager.py
+++ b/rnd/autogpt_server/autogpt_server/executor/manager.py
@@ -1,12 +1,12 @@
 import asyncio
 import logging
-
+import uuid
 from concurrent.futures import ProcessPoolExecutor
 from typing import Optional, Any
 
 from autogpt_server.data import db
 from autogpt_server.data.block import Block, get_block
-from autogpt_server.data.graph import Node, get_node, get_node_input
+from autogpt_server.data.graph import Node, get_node, get_node_input, get_graph
 from autogpt_server.data.execution import (
     Execution,
     ExecutionQueue,
@@ -21,7 +21,7 @@
 
 
 def get_log_prefix(run_id: str, exec_id: str, block_name: str = "-"):
-    return f"[Execution graph-{run_id}|node-{exec_id}|{block_name}]"
+    return f"[ExecutionManager] [graph-{run_id}|node-{exec_id}|{block_name}]"
 
 
 def execute_node(loop: asyncio.AbstractEventLoop, data: Execution) -> Execution | None:
@@ -80,26 +80,38 @@ def execute_node(loop: asyncio.AbstractEventLoop, data: Execution) -> Execution
         return None
 
     next_node_input: dict[str, Any] = wait(get_node_input(next_node, run_id))
-    next_node_block: Block | None = wait(get_block(next_node.block_id))
-    if not next_node_block:
-        logger.error(f"{prefix} Error, next block {next_node.block_id} not found.")
+    is_valid, validation_resp = wait(validate_exec(next_node, next_node_input))
+    if not is_valid:
+        logger.warning(f"{prefix} Skipped {next_node_id}: {validation_resp}")
         return None
 
-    if not set(next_node.input_nodes).issubset(next_node_input):
-        logger.warning(
-            f"{prefix} Skipped {next_node_id}-{next_node_block.name}, "
-            f"missing: {set(next_node.input_nodes) - set(next_node_input)}"
-        )
-        return None
+    logger.warning(f"{prefix} Enqueue next node {next_node_id}-{validation_resp}")
+    return Execution(run_id=run_id, node_id=next_node_id, data=next_node_input)
 
-    if error := next_node_block.input_schema.validate_data(next_node_input):
-        logger.warning(
-            f"{prefix} Skipped {next_node_id}-{next_node_block.name}, {error}"
-        )
-        return None
 
-    logger.warning(f"{prefix} Enqueue next node {next_node_id}-{next_node_block.name}")
-    return Execution(run_id=run_id, node_id=next_node_id, data=next_node_input)
+async def validate_exec(node: Node, data: dict[str, Any]) -> tuple[bool, str]:
+    """
+    Validate the input data for a node execution.
+
+    Args:
+        node: The node to execute.
+        data: The input data for the node execution.
+
+    Returns:
+        A tuple of a boolean indicating if the data is valid, and a message if not.
+        Return the executed block name if the data is valid.
+    """
+    node_block: Block | None = await(get_block(node.block_id))
+    if not node_block:
+        return False, f"Block for {node.block_id} not found."
+
+    if not set(node.input_nodes).issubset(data):
+        return False, f"Input data missing: {set(node.input_nodes) - set(data)}"
+
+    if error := node_block.input_schema.validate_data(data):
+        return False, f"Input data doesn't match {node_block.name}: {error}"
+
+    return True, node_block.name
 
 
 class Executor:
@@ -138,7 +150,7 @@ def on_complete_execution(f: asyncio.Future[Execution | None]):
 
             execution = f.result()
             if execution:
-                return self.__add_execution(execution)
+                return self.add_node_execution(execution)
 
             return None
 
@@ -155,14 +167,34 @@ def on_complete_execution(f: asyncio.Future[Execution | None]):
                 future.add_done_callback(on_complete_execution)  # type: ignore
 
     @expose
-    def add_execution(self, run_id: str, node_id: str, data: dict[str, Any]) -> str:
-        try:
-            execution = Execution(run_id=run_id, node_id=node_id, data=data)
-            self.__add_execution(execution)
-            return execution.id
-        except Exception as e:
-            raise Exception("Error adding execution ", e)
-
-    def __add_execution(self, execution: Execution) -> Execution:
+    def add_execution(self, graph_id: str, data: dict[str, Any]) -> dict:
+        run_id = str(uuid.uuid4())
+
+        agent = self.run_and_wait(get_graph(graph_id))
+        if not agent:
+            raise Exception(f"Agent #{graph_id} not found.")
+
+        # Currently, there is no constraint on the number of root nodes in the graph.
+        for node in agent.starting_nodes:
+            valid, error = self.run_and_wait(validate_exec(node, data))
+            if not valid:
+                raise Exception(error)
+
+        executions = []
+        for node in agent.starting_nodes:
+            exec_id = self.add_node_execution(
+                Execution(run_id=run_id, node_id=node.id, data=data)
+            )
+            executions.append({
+                "exec_id": exec_id,
+                "node_id": node.id,
+            })
+
+        return {
+            "run_id": run_id,
+            "executions": executions,
+        }
+
+    def add_node_execution(self, execution: Execution) -> Execution:
         self.run_and_wait(enqueue_execution(execution))
         return self.queue.add(execution)
diff --git a/rnd/autogpt_server/autogpt_server/executor/scheduler.py b/rnd/autogpt_server/autogpt_server/executor/scheduler.py
index b208e20e2acf..a82619af7d34 100644
--- a/rnd/autogpt_server/autogpt_server/executor/scheduler.py
+++ b/rnd/autogpt_server/autogpt_server/executor/scheduler.py
@@ -1,23 +1,82 @@
+import logging
 import time
 
-from autogpt_server.util.service import AppService, expose
+from apscheduler.schedulers.background import BackgroundScheduler
+from apscheduler.triggers.cron import CronTrigger
+from datetime import datetime
+
+from autogpt_server.data import schedule as model
+from autogpt_server.util.service import AppService, expose, get_service_client
+from autogpt_server.executor.manager import ExecutionManager
+
+logger = logging.getLogger(__name__)
+
+
+def log(msg, **kwargs):
+    logger.warning("[ExecutionScheduler] " + msg, **kwargs)
 
 
 class ExecutionScheduler(AppService):
 
+    def __init__(self, refresh_interval=10):
+        self.last_check = datetime.min
+        self.refresh_interval = refresh_interval
+
+    @property
+    def execution_manager_client(self):
+        return get_service_client(ExecutionManager)
+
     def run_service(self):
+        scheduler = BackgroundScheduler()
+        scheduler.start()
         while True:
-            time.sleep(1)  # This will be replaced with apscheduler executor.
+            self.__refresh_jobs_from_db(scheduler)
+            time.sleep(self.refresh_interval)
+
+    def __refresh_jobs_from_db(self, scheduler: BackgroundScheduler):
+        schedules = self.run_and_wait(model.get_active_schedules(self.last_check))
+        for schedule in schedules:
+            self.last_check = max(self.last_check, schedule.last_updated)
+
+            if not schedule.is_enabled:
+                log(f"Removing recurring job {schedule.id}: {schedule.schedule}")
+                scheduler.remove_job(schedule.id)
+                continue
+
+            log(f"Adding recurring job {schedule.id}: {schedule.schedule}")
+            scheduler.add_job(
+                self.__execute_agent,
+                CronTrigger.from_crontab(schedule.schedule),
+                id=schedule.id,
+                args=[schedule.agent_id, schedule.input_data],
+                replace_existing=True,
+            )
+
+    def __execute_agent(self, agent_id: str, input_data: dict):
+        try:
+            log(f"Executing recurring job for agent #{agent_id}")
+            execution_manager = self.execution_manager_client
+            execution_manager.add_execution(agent_id, input_data)
+        except Exception as e:
+            logger.error(f"Error executing agent {agent_id}: {e}")
+
+    @expose
+    def update_schedule(self, schedule_id: str, is_enabled: bool) -> str:
+        self.run_and_wait(model.update_schedule(schedule_id, is_enabled))
+        return schedule_id
 
     @expose
     def add_execution_schedule(self, agent_id: str, cron: str, input_data: dict) -> str:
-        print(
-            f"Adding execution schedule for agent {agent_id} with cron {cron} and "
-            f"input data {input_data}"
+        schedule = model.ExecutionSchedule(
+            agent_id=agent_id,
+            schedule=cron,
+            input_data=input_data,
         )
-        return "dummy_schedule_id"
+        self.run_and_wait(model.add_schedule(schedule))
+        return schedule.id
 
     @expose
-    def get_execution_schedules(self, agent_id: str) -> list[dict]:
-        print(f"Getting execution schedules for agent {agent_id}")
-        return [{"cron": "dummy_cron", "input_data": {"dummy_input": "dummy_value"}}]
+    def get_execution_schedules(self, agent_id: str) -> dict[str, str]:
+        query = model.get_schedules(agent_id)
+        schedules: list[model.ExecutionSchedule] = self.run_and_wait(query)
+        return {v.id: v.schedule for v in schedules}
diff --git a/rnd/autogpt_server/autogpt_server/server/server.py b/rnd/autogpt_server/autogpt_server/server/server.py
index a147244142e8..7e787cf5b575 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -34,66 +34,75 @@ def run(self):
         router = APIRouter()
         router.add_api_route(
             path="/blocks",
-            endpoint=AgentServer.get_agent_blocks,
+            endpoint=self.get_agent_blocks,
             methods=["GET"],
         )
         router.add_api_route(
             path="/agents",
-            endpoint=AgentServer.get_agents,
+            endpoint=self.get_agents,
             methods=["GET"],
         )
         router.add_api_route(
             path="/agents/{agent_id}",
-            endpoint=AgentServer.get_agent,
+            endpoint=self.get_agent,
             methods=["GET"],
         )
         router.add_api_route(
             path="/agents",
-            endpoint=AgentServer.create_agent,
+            endpoint=self.create_agent,
             methods=["POST"],
         )
         router.add_api_route(
             path="/agents/{agent_id}/execute",
-            endpoint=AgentServer.execute_agent,
+            endpoint=self.execute_agent,
             methods=["POST"],
         )
         router.add_api_route(
             path="/agents/{agent_id}/executions/{run_id}",
-            endpoint=AgentServer.get_executions,
+            endpoint=self.get_executions,
             methods=["GET"],
         )
         router.add_api_route(
             path="/agents/{agent_id}/schedules",
-            endpoint=AgentServer.schedule_agent,
+            endpoint=self.schedule_agent,
             methods=["POST"],
         )
         router.add_api_route(
             path="/agents/{agent_id}/schedules",
-            endpoint=AgentServer.get_execution_schedules,
+            endpoint=self.get_execution_schedules,
             methods=["GET"],
         )
+        router.add_api_route(
+            path="/agents/schedules/{schedule_id}",
+            endpoint=self.update_schedule,
+            methods=["PUT"],
+        )
 
         app.include_router(router)
         uvicorn.run(app, host="0.0.0.0", port=8000)
 
-    @staticmethod
-    async def get_agent_blocks() -> list[dict]:
+    @property
+    def execution_manager_client(self) -> ExecutionManager:
+        return get_service_client(ExecutionManager)
+
+    @property
+    def execution_scheduler_client(self) -> ExecutionScheduler:
+        return get_service_client(ExecutionScheduler)
+
+    async def get_agent_blocks(self) -> list[dict]:
         return [v.to_dict() for v in await block.get_blocks()]
 
-    @staticmethod
-    async def get_agents() -> list[str]:
+    async def get_agents(self) -> list[str]:
         return await graph.get_graph_ids()
 
-    @staticmethod
-    async def get_agent(agent_id: str) -> graph.Graph:
+    async def get_agent(self, agent_id: str) -> graph.Graph:
         agent = await graph.get_graph(agent_id)
         if not agent:
             raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
 
         return agent
 
-    @staticmethod
-    async def create_agent(agent: graph.Graph) -> graph.Graph:
+    async def create_agent(self, agent: graph.Graph) -> graph.Graph:
         agent.id = str(uuid.uuid4())
 
         id_map = {node.id: str(uuid.uuid4()) for node in agent.nodes}
@@ -104,62 +113,36 @@ async def create_agent(agent: graph.Graph) -> graph.Graph:
 
         return await graph.create_graph(agent)
 
-    @staticmethod
-    async def execute_agent(agent_id: str, node_input: dict) -> dict:
-        agent = await graph.get_graph(agent_id)
-        if not agent:
-            raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
-
-        run_id = str(uuid.uuid4())
-        executions = []
-        execution_manager = get_service_client(ExecutionManager)
-
-        # Currently, there is no constraint on the number of root nodes in the graph.
-        for node in agent.starting_nodes:
-            node_block = await block.get_block(node.block_id)
-            if not node_block:
-                raise HTTPException(
-                    status_code=404,
-                    detail=f"Block #{node.block_id} not found.",
-                )
-            if error := node_block.input_schema.validate_data(node_input):
-                raise HTTPException(
-                    status_code=400,
-                    detail=f"Input data doesn't match {node_block.name} input: {error}",
-                )
-
-            exec_id = execution_manager.add_execution(
-                run_id=run_id, node_id=node.id, data=node_input
-            )
-            executions.append({
-                "exec_id": exec_id,
-                "node_id": node.id,
-            })
+    async def execute_agent(self, agent_id: str, node_input: dict) -> dict:
+        try:
+            return self.execution_manager_client.add_execution(agent_id, node_input)
+        except Exception as e:
+            msg = e.__str__().encode().decode('unicode_escape')
+            raise HTTPException(status_code=400, detail=msg)
 
-        return {
-            "run_id": run_id,
-            "executions": executions,
-        }
-
-    @staticmethod
     async def get_executions(
-            agent_id: str,
-            run_id: str
-    ) -> list[execution.ExecutionResult]:
+            self, agent_id: str, run_id: str) -> list[execution.ExecutionResult]:
         agent = await graph.get_graph(agent_id)
         if not agent:
             raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
 
         return await execution.get_executions(run_id)
 
-    @staticmethod
-    def schedule_agent(agent_id: str, cron: str, input_data: dict) -> dict:
-        execution_scheduler = get_service_client(ExecutionScheduler)
+    async def schedule_agent(self, agent_id: str, cron: str, input_data: dict) -> dict:
+        agent = await graph.get_graph(agent_id)
+        if not agent:
+            raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
+        execution_scheduler = self.execution_scheduler_client
         return {
             "id": execution_scheduler.add_execution_schedule(agent_id, cron, input_data)
         }
 
-    @staticmethod
-    def get_execution_schedules(agent_id: str) -> list[dict]:
-        execution_scheduler = get_service_client(ExecutionScheduler)
+    def update_schedule(self, schedule_id: str, input_data: dict) -> dict:
+        execution_scheduler = self.execution_scheduler_client
+        is_enabled = input_data.get("is_enabled", False)
+        execution_scheduler.update_schedule(schedule_id, is_enabled)
+        return {"id": schedule_id}
+
+    def get_execution_schedules(self, agent_id: str) -> dict[str, str]:
+        execution_scheduler = self.execution_scheduler_client
         return execution_scheduler.get_execution_schedules(agent_id)
diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index 29bd19d8e290..5cfc3d220ff2 100644
--- a/rnd/autogpt_server/autogpt_server/util/service.py
+++ b/rnd/autogpt_server/autogpt_server/util/service.py
@@ -15,7 +15,18 @@
 
 logger = logging.getLogger(__name__)
 conn_retry = retry(stop=stop_after_delay(5), wait=wait_exponential(multiplier=0.1))
-expose = pyro.expose
+
+
+def expose(func: Callable) -> Callable:
+    def wrapper(*args, **kwargs):
+        try:
+            return func(*args, **kwargs)
+        except Exception as e:
+            msg = f"Error in {func.__name__}: {e.__str__()}"
+            logger.error(msg)
+            raise Exception(msg, e)
+
+    return pyro.expose(wrapper)
 
 
 class PyroNameServer(AppProcess):
@@ -28,7 +39,6 @@ def run(self):
 
 
 class AppService(AppProcess):
-
     shared_event_loop: asyncio.AbstractEventLoop
 
     @classmethod
diff --git a/rnd/autogpt_server/poetry.lock b/rnd/autogpt_server/poetry.lock
index 0b2987b86128..50cf787bcef2 100644
--- a/rnd/autogpt_server/poetry.lock
+++ b/rnd/autogpt_server/poetry.lock
@@ -33,6 +33,34 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
 test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (>=0.23)"]
 
+[[package]]
+name = "apscheduler"
+version = "3.10.4"
+description = "In-process task scheduler with Cron-like capabilities"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "APScheduler-3.10.4-py3-none-any.whl", hash = "sha256:fb91e8a768632a4756a585f79ec834e0e27aad5860bac7eaa523d9ccefd87661"},
+    {file = "APScheduler-3.10.4.tar.gz", hash = "sha256:e6df071b27d9be898e486bc7940a7be50b4af2e9da7c08f0744a96d4bd4cef4a"},
+]
+
+[package.dependencies]
+pytz = "*"
+six = ">=1.4.0"
+tzlocal = ">=2.0,<3.dev0 || >=4.dev0"
+
+[package.extras]
+doc = ["sphinx", "sphinx-rtd-theme"]
+gevent = ["gevent"]
+mongodb = ["pymongo (>=3.0)"]
+redis = ["redis (>=3.0)"]
+rethinkdb = ["rethinkdb (>=2.4.0)"]
+sqlalchemy = ["sqlalchemy (>=1.4)"]
+testing = ["pytest", "pytest-asyncio", "pytest-cov", "pytest-tornado5"]
+tornado = ["tornado (>=4.3)"]
+twisted = ["twisted"]
+zookeeper = ["kazoo"]
+
 [[package]]
 name = "attrs"
 version = "23.2.0"
@@ -88,6 +116,21 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "croniter"
+version = "2.0.5"
+description = "croniter provides iteration for datetime object with cron like format"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.6"
+files = [
+    {file = "croniter-2.0.5-py2.py3-none-any.whl", hash = "sha256:fdbb44920944045cc323db54599b321325141d82d14fa7453bc0699826bbe9ed"},
+    {file = "croniter-2.0.5.tar.gz", hash = "sha256:f1f8ca0af64212fbe99b1bee125ee5a1b53a9c1b433968d8bca8817b79d237f3"},
+]
+
+[package.dependencies]
+python-dateutil = "*"
+pytz = ">2021.1"
+
 [[package]]
 name = "cx-freeze"
 version = "7.0.0"
@@ -850,6 +893,24 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""}
 [package.extras]
 dev = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
 
+[[package]]
+name = "pytest-asyncio"
+version = "0.23.7"
+description = "Pytest support for asyncio"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
+    {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
+]
+
+[package.dependencies]
+pytest = ">=7.0.0,<9"
+
+[package.extras]
+docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
+
 [[package]]
 name = "pytest-watcher"
 version = "0.4.2"
@@ -865,6 +926,20 @@ files = [
 tomli = {version = ">=2.0.1,<3.0.0", markers = "python_version < \"3.11\""}
 watchdog = ">=2.0.0"
 
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+description = "Extensions to the standard Python datetime module"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+files = [
+    {file = "python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3"},
+    {file = "python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427"},
+]
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "python-dotenv"
 version = "1.0.1"
@@ -879,6 +954,17 @@ files = [
 [package.extras]
 cli = ["click (>=5.0)"]
 
+[[package]]
+name = "pytz"
+version = "2024.1"
+description = "World timezone definitions, modern and historical"
+optional = false
+python-versions = "*"
+files = [
+    {file = "pytz-2024.1-py2.py3-none-any.whl", hash = "sha256:328171f4e3623139da4983451950b28e95ac706e13f3f2630a879749e7a8b319"},
+    {file = "pytz-2024.1.tar.gz", hash = "sha256:2a29735ea9c18baf14b448846bde5a48030ed267578472d8955cd0e7443a9812"},
+]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.1"
@@ -1115,6 +1201,17 @@ docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments
 testing = ["build[virtualenv]", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "mypy (==1.9)", "packaging (>=23.2)", "pip (>=19.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.2.1)", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.2)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
 
+[[package]]
+name = "six"
+version = "1.16.0"
+description = "Python 2 and 3 compatibility utilities"
+optional = false
+python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
+files = [
+    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
+    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
+]
+
 [[package]]
 name = "sniffio"
 version = "1.3.1"
@@ -1207,6 +1304,34 @@ files = [
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
 ]
 
+[[package]]
+name = "tzdata"
+version = "2024.1"
+description = "Provider of IANA time zone data"
+optional = false
+python-versions = ">=2"
+files = [
+    {file = "tzdata-2024.1-py2.py3-none-any.whl", hash = "sha256:9068bc196136463f5245e51efda838afa15aaeca9903f49050dfa2679db4d252"},
+    {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"},
+]
+
+[[package]]
+name = "tzlocal"
+version = "5.2"
+description = "tzinfo object for the local timezone"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"},
+    {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
+]
+
+[package.dependencies]
+tzdata = {version = "*", markers = "platform_system == \"Windows\""}
+
+[package.extras]
+devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"]
+
 [[package]]
 name = "uvicorn"
 version = "0.30.1"
@@ -1506,4 +1631,4 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "de508427e9804ded3b3139e13f209baa6cc97bc138d83952ad2b129d3aedc4e2"
+content-hash = "17f25b61da5f54bb4bb13cecfedda56d23c097aacb95bb213f13ce63ee08c761"
diff --git a/rnd/autogpt_server/pyproject.toml b/rnd/autogpt_server/pyproject.toml
index a773707b389e..2de400fa7ad3 100644
--- a/rnd/autogpt_server/pyproject.toml
+++ b/rnd/autogpt_server/pyproject.toml
@@ -22,6 +22,9 @@ jsonschema = "^4.22.0"
 psutil = "^5.9.8"
 pyro5 = "^5.15"
 tenacity = "^8.3.0"
+apscheduler = "^3.10.4"
+croniter = "^2.0.5"
+pytest-asyncio = "^0.23.7"
 
 
 [tool.poetry.group.dev.dependencies]
@@ -80,3 +83,6 @@ runner = "pytest"
 runner_args = []
 patterns = ["*.py"]
 ignore_patterns = []
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
\ No newline at end of file
diff --git a/rnd/autogpt_server/schema.prisma b/rnd/autogpt_server/schema.prisma
index a4b37e083956..dd049b6c76f6 100644
--- a/rnd/autogpt_server/schema.prisma
+++ b/rnd/autogpt_server/schema.prisma
@@ -15,7 +15,8 @@ model AgentGraph {
   name        String?
   description String?
 
-  AgentNodes AgentNode[] @relation("AgentGraphNodes")
+  AgentNodes             AgentNode[]              @relation("AgentGraphNodes")
+  AgentExecutionSchedule AgentExecutionSchedule[]
 }
 
 // This model describes a single node in the Agent Graph/Flow (Multi Agent System).
@@ -108,3 +109,20 @@ model FileDefinition {
   ReferencedByInputFiles  AgentNodeExecution[] @relation("InputFiles")
   ReferencedByOutputFiles AgentNodeExecution[] @relation("OutputFiles")
 }
+
+// This model describes the recurring execution schedule of an Agent.
+model AgentExecutionSchedule {
+  id String @id
+
+  agentGraphId String
+  AgentGraph   AgentGraph @relation(fields: [agentGraphId], references: [id])
+
+  schedule  String // cron expression
+  isEnabled Boolean @default(true)
+  inputData String // JSON serialized object
+
+  // default and set the value on each update, lastUpdated field has no time zone.
+  lastUpdated DateTime @updatedAt
+
+  @@index([isEnabled])
+}
diff --git a/rnd/autogpt_server/test/executor/test_manager.py b/rnd/autogpt_server/test/executor/test_manager.py
index f8dc6d79a3fe..38af3f0471b0 100644
--- a/rnd/autogpt_server/test/executor/test_manager.py
+++ b/rnd/autogpt_server/test/executor/test_manager.py
@@ -1,6 +1,7 @@
-import asyncio
 import time
 
+import pytest
+
 from autogpt_server.data import block, db, execution, graph
 from autogpt_server.executor import ExecutionManager
 from autogpt_server.server import AgentServer
@@ -44,28 +45,29 @@ async def create_test_graph() -> graph.Graph:
     return test_graph
 
 
-def execute_agent(test_manager: ExecutionManager, test_graph: graph.Graph, wait_db):
+async def execute_agent(test_manager: ExecutionManager, test_graph: graph.Graph):
     # --- Test adding new executions --- #
     text = "Hello, World!"
     input_data = {"input": text}
-    response = wait_db(AgentServer.execute_agent(test_graph.id, input_data))
+    agent_server = AgentServer()
+    response = await agent_server.execute_agent(test_graph.id, input_data)
     executions = response["executions"]
     run_id = response["run_id"]
     assert len(executions) == 2
 
     async def is_execution_completed():
-        execs = await AgentServer.get_executions(test_graph.id, run_id)
+        execs = await agent_server.get_executions(test_graph.id, run_id)
         return test_manager.queue.empty() and len(execs) == 4
 
     # Wait for the executions to complete
     for i in range(10):
-        if wait_db(is_execution_completed()):
+        if await is_execution_completed():
             break
         time.sleep(1)
 
     # Execution queue should be empty
-    assert wait_db(is_execution_completed())
-    executions = wait_db(AgentServer.get_executions(test_graph.id, run_id))
+    assert await is_execution_completed()
+    executions = await agent_server.get_executions(test_graph.id, run_id)
 
     # Executing ParrotBlock1
     exec = executions[0]
@@ -108,14 +110,10 @@ async def is_execution_completed():
     assert exec.node_id == test_graph.nodes[3].id
 
 
-def test_agent_execution():
+@pytest.mark.asyncio(scope="session")
+async def test_agent_execution():
     with PyroNameServer():
-        time.sleep(0.5)
         with ExecutionManager(1) as test_manager:
-            loop = asyncio.new_event_loop()
-            wait = loop.run_until_complete
-            
-            wait(db.connect())
-            test_graph = wait(create_test_graph())
-    
-            execute_agent(test_manager, test_graph, wait)
+            await db.connect()
+            test_graph = await create_test_graph()
+            await execute_agent(test_manager, test_graph)
diff --git a/rnd/autogpt_server/test/executor/test_scheduler.py b/rnd/autogpt_server/test/executor/test_scheduler.py
new file mode 100644
index 000000000000..4ea154d060c8
--- /dev/null
+++ b/rnd/autogpt_server/test/executor/test_scheduler.py
@@ -0,0 +1,33 @@
+import pytest
+
+import test_manager
+from autogpt_server.executor.scheduler import ExecutionScheduler
+from autogpt_server.util.service import PyroNameServer, get_service_client
+
+
+@pytest.mark.asyncio(scope="session")
+async def test_agent_schedule():
+    await test_manager.db.connect()
+    test_graph = await test_manager.create_test_graph()
+
+    with PyroNameServer():
+        with ExecutionScheduler():
+            scheduler = get_service_client(ExecutionScheduler)
+
+            schedules = scheduler.get_execution_schedules(test_graph.id)
+            assert len(schedules) == 0
+
+            schedule_id = scheduler.add_execution_schedule(
+                test_graph.id,
+                "0 0 * * *",
+                {"input": "data"}
+            )
+            assert schedule_id
+
+            schedules = scheduler.get_execution_schedules(test_graph.id)
+            assert len(schedules) == 1
+            assert schedules[schedule_id] == "0 0 * * *"
+
+            scheduler.update_schedule(schedule_id, is_enabled=False)
+            schedules = scheduler.get_execution_schedules(test_graph.id)
+            assert len(schedules) == 0
diff --git a/rnd/autogpt_server/test/util/test_service.py b/rnd/autogpt_server/test/util/test_service.py
index 34532b996308..bdbd5689391e 100644
--- a/rnd/autogpt_server/test/util/test_service.py
+++ b/rnd/autogpt_server/test/util/test_service.py
@@ -1,5 +1,3 @@
-import time
-
 from autogpt_server.util.service import (
     AppService,
     PyroNameServer,
@@ -30,7 +28,6 @@ async def add_async(a: int, b: int) -> int:
 
 def test_service_creation():
     with PyroNameServer():
-        time.sleep(0.5)
         with TestService():
             client = get_service_client(TestService)
             assert client.add(5, 3) == 8

From 3e01b19d6f5095ed968bfddf867faee28abc45c4 Mon Sep 17 00:00:00 2001
From: Bently <tomnoon9@gmail.com>
Date: Tue, 25 Jun 2024 02:24:10 +0100
Subject: [PATCH 03/23] chore(forge): Update `duckduckgo-search` to v6.1.7
 (#7254)

This should (for now) mitigate the RateLimitErrors that people have been experiencing.
---------

Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
---
 autogpt/poetry.lock  | 202 +++++++++++++++++++++++++------------------
 forge/poetry.lock    | 198 ++++++++++++++++++++++++------------------
 forge/pyproject.toml |   2 +-
 3 files changed, 233 insertions(+), 169 deletions(-)

diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock
index 1c1d0d09afdd..141f559579f1 100644
--- a/autogpt/poetry.lock
+++ b/autogpt/poetry.lock
@@ -306,7 +306,7 @@ tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
 
 [[package]]
 name = "autogpt-forge"
-version = "0.1.0"
+version = "0.2.0"
 description = ""
 optional = false
 python-versions = "^3.10"
@@ -325,7 +325,7 @@ click = "*"
 colorama = "^0.4.6"
 demjson3 = "^3.0.0"
 docker = "*"
-duckduckgo-search = "^5.0.0"
+duckduckgo-search = "^6.1.7"
 fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 google-api-python-client = "*"
@@ -359,7 +359,7 @@ watchdog = "4.0.0"
 webdriver-manager = "^4.0.1"
 
 [package.extras]
-benchmark = ["agbenchmark"]
+benchmark = ["agbenchmark @ file:///home/reinier/code/agpt/AutoGPT/benchmark"]
 
 [package.source]
 type = "directory"
@@ -1130,34 +1130,6 @@ files = [
     {file = "cssselect-1.2.0.tar.gz", hash = "sha256:666b19839cfaddb9ce9d36bfe4c969132c647b92fc9088c4e23f786b30f1b3dc"},
 ]
 
-[[package]]
-name = "curl-cffi"
-version = "0.7.0b4"
-description = "libcurl ffi bindings for Python, with impersonation support."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:694d88f7065c59c651970f14bc415431f65ac601a9ba537463d70f432a48ccfc"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6faf01aa8d98d322b877d3d801544692c73729ea6eb4a45af83514a4ecd1c8fe"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d39849371bbf3eab048113693715a8da5c729c494cccfa1128d768d96fdc31e"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e3a5099b98c4bf12cc1afecb3409a9c57e7ebce9447a03c96dfb661ad8fa5e79"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e3616141a2a0be7896e7dc5da1ed3965e1a78aa2e563d8aba7a641135aeaf1b"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd16cccc0d3e93c2fbc4f4cb7cce0e10cb2ef7f8957352f3f0d770f0d6e05702"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:d65aa649abb24020c2ad7b3ce45e2816d1ffe25df06f1a6b0f52fbf353af82e0"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-win32.whl", hash = "sha256:b55c53bb6dff713cb63f76e2f147e2d54c984b1b09df66b08f52f3acae1aeca0"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-win_amd64.whl", hash = "sha256:449ab07e07335558997cd62296b5c4f16ce27630de7830e4ad22441049a0ef1e"},
-    {file = "curl_cffi-0.7.0b4.tar.gz", hash = "sha256:c09a062b8aac93d4890d2c33b7053c0e1a5cf275328b80c1fb1a950310df75f2"},
-]
-
-[package.dependencies]
-certifi = ">=2024.2.2"
-cffi = ">=1.12.0"
-
-[package.extras]
-build = ["cibuildwheel", "wheel"]
-dev = ["charset-normalizer (>=3.3.2,<4.0)", "coverage (>=6.4.1,<7.0)", "cryptography (>=42.0.5,<43.0)", "httpx (==0.23.1)", "mypy (>=1.9.0,<2.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "ruff (>=0.3.5,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "uvicorn (>=0.29.0,<1.0)", "websockets (>=12.0,<13.0)"]
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-
 [[package]]
 name = "cx-freeze"
 version = "7.0.0"
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 [[package]]
 name = "duckduckgo-search"
-version = "5.3.1"
+version = "6.1.7"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
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-orjson = ">=3.10.3"
+orjson = ">=3.10.5"
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-lxml = ["lxml (>=5.2.1)"]
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+lxml = ["lxml (>=5.2.2)"]
 
 [[package]]
 name = "en-core-web-sm"
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+    {file = "orjson-3.10.5-cp38-cp38-musllinux_1_2_x86_64.whl", hash = "sha256:dfc91d4720d48e2a709e9c368d5125b4b5899dced34b5400c3837dadc7d6271b"},
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+    {file = "orjson-3.10.5-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:c4057c3b511bb8aef605616bd3f1f002a697c7e4da6adf095ca5b84c0fd43595"},
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+    {file = "orjson-3.10.5-cp39-none-win32.whl", hash = "sha256:eded5138cc565a9d618e111c6d5c2547bbdd951114eb822f7f6309e04db0fb47"},
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+    {file = "orjson-3.10.5.tar.gz", hash = "sha256:7a5baef8a4284405d96c90c7c62b755e9ef1ada84c2406c24a9ebec86b89f46d"},
 ]
 
 [[package]]
@@ -4677,6 +4649,66 @@ files = [
     {file = "pyreadline3-3.4.1.tar.gz", hash = "sha256:6f3d1f7b8a31ba32b73917cefc1f28cc660562f39aea8646d30bd6eff21f7bae"},
 ]
 
+[[package]]
+name = "pyreqwest-impersonate"
+version = "0.4.8"
+description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3cca4e6e59b9ad0cd20bad6caed3ac96992cd9c1d3126ecdfcab2c0ac2b75376"},
+    {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3ab6b32544491ee655264dab86fc8a58e47c4f87d196b28022d4007faf971a50"},
+    {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:64bd6299e7fc888bb7f7292cf3e29504c406e5d5d04afd37ca994ab8142d8ee4"},
+    {file = "pyreqwest_impersonate-0.4.8-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:e914b650dd953b8d9b24ef56aa4ecbfc16e399227b68accd818f8bf159e0c558"},
+    {file = "pyreqwest_impersonate-0.4.8-cp310-none-win_amd64.whl", hash = "sha256:cb56a2149b0c4548a8e0158b071a943f33dae9b717f92b5c9ac34ccd1f5a958c"},
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+    {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:08d4c01d76da88cfe3d7d03b311b375ce3fb5a59130f93f0637bb755d6e56ff1"},
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+    {file = "pyreqwest_impersonate-0.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a22863bc0aaf02ca2f5d76c8130929ae680b7d82dfc1c28c1ed5f306ff626928"},
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+    {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e6c72c37b03bce9900f5dbb4f476af17253ec60c13bf7a7259f71a8dc1b036cb"},
+    {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b1f1096165741b5c2178ab15b0eb09b5de16dd39b1cc135767d72471f0a69ce"},
+    {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-musllinux_1_2_aarch64.whl", hash = "sha256:70c940c0e4ef335e22a6c705b01f286ee44780b5909065d212d94d82ea2580cb"},
+    {file = "pyreqwest_impersonate-0.4.8-pp39-pypy39_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:81c06f21757602d85f16dbc1cbaee1121cd65455f65aed4c048b7dcda7be85c4"},
+    {file = "pyreqwest_impersonate-0.4.8.tar.gz", hash = "sha256:1eba11d47bd17244c64fec1502cc26ee66cc5c8a3be131e408101ae2b455e5bc"},
+]
+
+[package.extras]
+dev = ["pytest (>=8.1.1)"]
+
 [[package]]
 name = "pyright"
 version = "1.1.366"
diff --git a/forge/poetry.lock b/forge/poetry.lock
index d713a148cf5f..45b04dafb29a 100644
--- a/forge/poetry.lock
+++ b/forge/poetry.lock
@@ -1444,34 +1444,6 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
-[[package]]
-name = "curl-cffi"
-version = "0.7.0b4"
-description = "libcurl ffi bindings for Python, with impersonation support."
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-macosx_10_9_x86_64.whl", hash = "sha256:694d88f7065c59c651970f14bc415431f65ac601a9ba537463d70f432a48ccfc"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-macosx_11_0_arm64.whl", hash = "sha256:6faf01aa8d98d322b877d3d801544692c73729ea6eb4a45af83514a4ecd1c8fe"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5d39849371bbf3eab048113693715a8da5c729c494cccfa1128d768d96fdc31e"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e3a5099b98c4bf12cc1afecb3409a9c57e7ebce9447a03c96dfb661ad8fa5e79"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7e3616141a2a0be7896e7dc5da1ed3965e1a78aa2e563d8aba7a641135aeaf1b"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:bd16cccc0d3e93c2fbc4f4cb7cce0e10cb2ef7f8957352f3f0d770f0d6e05702"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:d65aa649abb24020c2ad7b3ce45e2816d1ffe25df06f1a6b0f52fbf353af82e0"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-win32.whl", hash = "sha256:b55c53bb6dff713cb63f76e2f147e2d54c984b1b09df66b08f52f3acae1aeca0"},
-    {file = "curl_cffi-0.7.0b4-cp38-abi3-win_amd64.whl", hash = "sha256:449ab07e07335558997cd62296b5c4f16ce27630de7830e4ad22441049a0ef1e"},
-    {file = "curl_cffi-0.7.0b4.tar.gz", hash = "sha256:c09a062b8aac93d4890d2c33b7053c0e1a5cf275328b80c1fb1a950310df75f2"},
-]
-
-[package.dependencies]
-certifi = ">=2024.2.2"
-cffi = ">=1.12.0"
-
-[package.extras]
-build = ["cibuildwheel", "wheel"]
-dev = ["charset-normalizer (>=3.3.2,<4.0)", "coverage (>=6.4.1,<7.0)", "cryptography (>=42.0.5,<43.0)", "httpx (==0.23.1)", "mypy (>=1.9.0,<2.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "ruff (>=0.3.5,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "uvicorn (>=0.29.0,<1.0)", "websockets (>=12.0,<13.0)"]
-test = ["charset-normalizer (>=3.3.2,<4.0)", "cryptography (>=42.0.5,<43.0)", "fastapi (==0.110.0)", "httpx (==0.23.1)", "proxy.py (>=2.4.3,<3.0)", "pytest (>=8.1.1,<9.0)", "pytest-asyncio (>=0.23.6,<1.0)", "pytest-trio (>=0.8.0,<1.0)", "python-multipart (>=0.0.9,<1.0)", "trio (>=0.25.0,<1.0)", "trustme (>=1.1.0,<2.0)", "uvicorn (>=0.29.0,<1.0)", "websockets (>=12.0,<13.0)"]
-
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -1612,23 +1584,23 @@ websockets = ["websocket-client (>=1.3.0)"]
 
 [[package]]
 name = "duckduckgo-search"
-version = "5.3.1"
+version = "6.1.7"
 description = "Search for words, documents, images, news, maps and text translation using the DuckDuckGo.com search engine."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "duckduckgo_search-5.3.1-py3-none-any.whl", hash = "sha256:a07d94babe45c9a9bd0ce2dc185346b47fe95dab516d414f21f06a0a1200aca9"},
-    {file = "duckduckgo_search-5.3.1.tar.gz", hash = "sha256:2ee309e76b7e34ee84bddd5e046df723faecf7f999acdb499f3dad7e8a614c21"},
+    {file = "duckduckgo_search-6.1.7-py3-none-any.whl", hash = "sha256:ec7d5becb8c392c0293ff9464938c1014896e1e14725c05adc306290a636fab2"},
+    {file = "duckduckgo_search-6.1.7.tar.gz", hash = "sha256:c6fd8ba17fe9cd0a4f32e5b96984e959c3da865f9c2864bfcf82bf7ff9b7e8f0"},
 ]
 
 [package.dependencies]
 click = ">=8.1.7"
-curl-cffi = ">=0.7.0b4"
-orjson = ">=3.10.3"
+orjson = ">=3.10.5"
+pyreqwest-impersonate = ">=0.4.8"
 
 [package.extras]
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 [[package]]
 name = "exceptiongroup"
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 ]
 
 [[package]]
@@ -4746,6 +4718,66 @@ files = [
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 ]
 
+[[package]]
+name = "pyreqwest-impersonate"
+version = "0.4.8"
+description = "HTTP client that can impersonate web browsers, mimicking their headers and `TLS/JA3/JA4/HTTP2` fingerprints"
+optional = false
+python-versions = ">=3.8"
+files = [
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+    {file = "pyreqwest_impersonate-0.4.8.tar.gz", hash = "sha256:1eba11d47bd17244c64fec1502cc26ee66cc5c8a3be131e408101ae2b455e5bc"},
+]
+
+[package.extras]
+dev = ["pytest (>=8.1.1)"]
+
 [[package]]
 name = "pyright"
 version = "1.1.366"
@@ -6830,4 +6862,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "e04a03e3f2663d3e54d5f4e6649cd4442cb00fd17ae5c68d06dbaadfc02ca309"
+content-hash = "b02486b166870b64f778f117708c9dab9ce9305340ad5ef28994273925f09c4c"
diff --git a/forge/pyproject.toml b/forge/pyproject.toml
index 7b4ab1e09ce1..60461e380de2 100644
--- a/forge/pyproject.toml
+++ b/forge/pyproject.toml
@@ -22,7 +22,7 @@ click = "*"
 colorama = "^0.4.6"
 demjson3 = "^3.0.0"
 docker = "*"
-duckduckgo-search = "^5.0.0"
+duckduckgo-search = "^6.1.7"
 fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 google-api-python-client = "*"

From f04ddceacfcd830f538a0faa7dd22169f4d3930c Mon Sep 17 00:00:00 2001
From: Nicholas Tindle <nicholas.tindle@agpt.co>
Date: Tue, 25 Jun 2024 19:03:05 -0500
Subject: [PATCH 04/23] docs(forge): Update and rename QUICKSTART.md to
 FORGE-QUICKSTART.md (#7215)

---
 QUICKSTART.md => FORGE-QUICKSTART.md | 32 ++++++++++++++--------------
 1 file changed, 16 insertions(+), 16 deletions(-)
 rename QUICKSTART.md => FORGE-QUICKSTART.md (71%)

diff --git a/QUICKSTART.md b/FORGE-QUICKSTART.md
similarity index 71%
rename from QUICKSTART.md
rename to FORGE-QUICKSTART.md
index b72ba4994e57..9bedd7abee97 100644
--- a/QUICKSTART.md
+++ b/FORGE-QUICKSTART.md
@@ -2,11 +2,11 @@
 
 > For the complete getting started [tutorial series](https://aiedge.medium.com/autogpt-forge-e3de53cc58ec) <- click here
 
-Welcome to the Quickstart Guide! This guide will walk you through the process of setting up and running your own AutoGPT agent. Whether you're a seasoned AI developer or just starting out, this guide will provide you with the necessary steps to jumpstart your journey in the world of AI development with AutoGPT.
+Welcome to the Quickstart Guide! This guide will walk you through setting up, building, and running your own AutoGPT agent. Whether you're a seasoned AI developer or just starting out, this guide will provide you with the steps to jumpstart your journey in AI development with AutoGPT.
 
 ## System Requirements
 
-This project supports Linux (Debian based), Mac, and Windows Subsystem for Linux (WSL). If you are using a Windows system, you will need to install WSL. You can find the installation instructions for WSL [here](https://learn.microsoft.com/en-us/windows/wsl/).
+This project supports Linux (Debian-based), Mac, and Windows Subsystem for Linux (WSL). If you use a Windows system, you must install WSL. You can find the installation instructions for WSL [here](https://learn.microsoft.com/en-us/windows/wsl/).
 
 
 ## Getting Setup
@@ -18,11 +18,11 @@ This project supports Linux (Debian based), Mac, and Windows Subsystem for Linux
    - In the top-right corner of the page, click Fork.
 
    ![Create Fork UI](docs/content/imgs/quickstart/002_fork.png)
-   - On the next page, select your GitHub account to create the fork under.
+   - On the next page, select your GitHub account to create the fork.
    - Wait for the forking process to complete. You now have a copy of the repository in your GitHub account.
 
 2. **Clone the Repository**
-   To clone the repository, you need to have Git installed on your system. If you don't have Git installed, you can download it from [here](https://git-scm.com/downloads). Once you have Git installed, follow these steps:
+   To clone the repository, you need to have Git installed on your system. If you don't have Git installed, download it from [here](https://git-scm.com/downloads). Once you have Git installed, follow these steps:
    - Open your terminal.
    - Navigate to the directory where you want to clone the repository.
    - Run the git clone command for the fork you just created
@@ -34,11 +34,11 @@ This project supports Linux (Debian based), Mac, and Windows Subsystem for Linux
    ![Open the Project in your IDE](docs/content/imgs/quickstart/004_ide.png)
 
 4. **Setup the Project**
-    Next we need to setup the required dependencies. We have a tool for helping you do all the tasks you need to on the repo.
+    Next, we need to set up the required dependencies. We have a tool to help you perform all the tasks on the repo.
     It can be accessed by running the `run` command by typing `./run` in the terminal.
 
-    The first command you need to use is `./run setup` This will guide you through the process of setting up your system.
-    Initially you will get instructions for installing flutter, chrome and setting up your github access token like the following image:
+    The first command you need to use is `./run setup.` This will guide you through setting up your system.
+    Initially, you will get instructions for installing Flutter and Chrome and setting up your GitHub access token like the following image:
     
     ![Setup the Project](docs/content/imgs/quickstart/005_setup.png)
 
@@ -47,7 +47,7 @@ This project supports Linux (Debian based), Mac, and Windows Subsystem for Linux
 If you're a Windows user and experience issues after installing WSL, follow the steps below to resolve them. 
 
 #### Update WSL 
-Run the following command in Powershell or Command Prompt to:
+Run the following command in Powershell or Command Prompt:
 1. Enable the optional WSL and Virtual Machine Platform components.
 2. Download and install the latest Linux kernel.
 3. Set WSL 2 as the default.
@@ -73,7 +73,7 @@ dos2unix ./run
 After executing the above commands, running `./run setup` should work successfully. 
 
 #### Store Project Files within the WSL File System
-If you continue to experience issues, consider storing your project files within the WSL file system instead of the Windows file system. This method avoids issues related to path translations and permissions and provides a more consistent development environment.
+If you continue to experience issues, consider storing your project files within the WSL file system instead of the Windows file system. This method avoids path translations and permissions issues and provides a more consistent development environment.
 
 You can keep running the command to get feedback on where you are up to with your setup. 
 When setup has been completed, the command will return an output like this:
@@ -83,7 +83,7 @@ When setup has been completed, the command will return an output like this:
 ## Creating Your Agent
 
 After completing the setup, the next step is to create your agent template.
-Execute the command `./run agent create YOUR_AGENT_NAME`, where `YOUR_AGENT_NAME` should be replaced with a name of your choosing.
+Execute the command `./run agent create YOUR_AGENT_NAME`, where `YOUR_AGENT_NAME` should be replaced with your chosen name.
 
 Tips for naming your agent:
 * Give it its own unique name, or name it after yourself
@@ -101,21 +101,21 @@ This starts the agent on the URL: `http://localhost:8000/`
 
 ![Start the Agent](docs/content/imgs/quickstart/009_start_agent.png)
 
-The frontend can be accessed from `http://localhost:8000/`, you will first need to login using either a google account or your github account.
+The front end can be accessed from `http://localhost:8000/`; first, you must log in using either a Google account or your GitHub account.
 
 ![Login](docs/content/imgs/quickstart/010_login.png)
 
-Upon logging in you will get a page that looks something like this. With your task history down the left hand side of the page and the 'chat' window to send tasks to your agent.
+Upon logging in, you will get a page that looks something like this: your task history down the left-hand side of the page, and the 'chat' window to send tasks to your agent.
 
 ![Login](docs/content/imgs/quickstart/011_home.png)
 
-When you have finished with your agent, or if you just need to restart it, use Ctl-C to end the session then you can re-run the start command.
+When you have finished with your agent or just need to restart it, use Ctl-C to end the session. Then, you can re-run the start command.
 
-If you are having issues and want to ensure the agent has been stopped there is a `./run agent stop` command which will kill the process using port 8000, which should be the agent. 
+If you are having issues and want to ensure the agent has been stopped, there is a `./run agent stop` command, which will kill the process using port 8000, which should be the agent. 
 
 ## Benchmarking your Agent
 
-The benchmarking system can also be accessed using the cli too:
+The benchmarking system can also be accessed using the CLI too:
 
 ```bash
 agpt % ./run benchmark
@@ -163,7 +163,7 @@ The benchmark has been split into different categories of skills you can test yo
 ![Login](docs/content/imgs/quickstart/012_tests.png)
 
 
-Finally you can run the benchmark with
+Finally, you can run the benchmark with
 
 ```bash
 ./run benchmark start YOUR_AGENT_NAME

From 26bcb26bb7121f071b7aa3af0509063b74fa90fa Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@agpt.co>
Date: Wed, 26 Jun 2024 14:41:55 +0400
Subject: [PATCH 05/23] feat(rnd): Refactor AgentServer Node Input/Output
 Relation & Block output interface (#7231)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

### Background

The current implementation of AgentServer doesn't allow for a single pin to be connected to multiple nodes, this will be problematic when you have a single output node that needs to be propagated into many nodes. Or multiple nodes that possibly feed the data into a single pin (first come first serve).

This infra change is also part of the preparation for changing the `block` interface to return a stream of output instead of a single output.  Treating blocks as streams requires this capability.

### Changes 🏗️

* Update block run interface from returning `(output_name, output_data)` to `Generator[(output_name, output_data)]`
* Removed `agent` term in the API, replace it with `graph` for consistency.
* Reintroduced `AgentNodeExecutionInputOutput`. `AgentNodeExecution` input & output will be a list of `AgentNodeExecutionInputOutput` which describes the input & output data of its execution. Making an execution has 1-many relation to its input output data.
* Propagating the relation and block interface change into the execution engine.
---
 .../autogpt_server/data/block.py              |  45 ++--
 .../autogpt_server/data/execution.py          | 234 +++++++++++++-----
 .../autogpt_server/data/graph.py              |  74 +++---
 .../autogpt_server/data/schedule.py           |  28 +--
 .../autogpt_server/executor/manager.py        | 212 ++++++++++------
 .../autogpt_server/executor/scheduler.py      |  23 +-
 .../autogpt_server/server/server.py           |  96 +++----
 .../autogpt_server/util/service.py            |   7 +-
 rnd/autogpt_server/schema.prisma              |  71 +++---
 .../test/executor/test_manager.py             |  37 ++-
 10 files changed, 494 insertions(+), 333 deletions(-)

diff --git a/rnd/autogpt_server/autogpt_server/data/block.py b/rnd/autogpt_server/autogpt_server/data/block.py
index 4dbfcf354f71..d0f69fdc0e0b 100644
--- a/rnd/autogpt_server/autogpt_server/data/block.py
+++ b/rnd/autogpt_server/autogpt_server/data/block.py
@@ -1,9 +1,8 @@
 import json
-import jsonschema
-
 from abc import ABC, abstractmethod
-from typing import Any, ClassVar
+from typing import Any, Generator, ClassVar
 
+import jsonschema
 from prisma.models import AgentBlock
 from pydantic import BaseModel
 
@@ -92,6 +91,12 @@ def validate_field(self, field_name: str, data: BlockData) -> str | None:
         except jsonschema.ValidationError as e:
             return str(e)
 
+    def get_fields(self) -> set[str]:
+        return set(self.jsonschema["properties"].keys())
+
+
+BlockOutput = Generator[tuple[str, Any], None, None]
+
 
 class Block(ABC, BaseModel):
     @classmethod
@@ -126,13 +131,15 @@ def output_schema(cls) -> BlockSchema:
         pass
 
     @abstractmethod
-    def run(self, input_data: BlockData) -> tuple[str, Any]:
+    def run(self, input_data: BlockData) -> BlockOutput:
         """
         Run the block with the given input data.
         Args:
             input_data: The input data with the structure of input_schema.
         Returns:
-            The (output name, output data), matching the type in output_schema.
+            A Generator that yields (output_name, output_data).
+            output_name: One of the output name defined in Block's output_schema.
+            output_data: The data for the output_name, matching the defined schema.
         """
         pass
 
@@ -149,20 +156,18 @@ def to_dict(self):
             "outputSchema": self.output_schema.jsonschema,
         }
 
-    def execute(self, input_data: BlockData) -> tuple[str, Any]:
+    def execute(self, input_data: BlockData) -> BlockOutput:
         if error := self.input_schema.validate_data(input_data):
             raise ValueError(
                 f"Unable to execute block with invalid input data: {error}"
             )
 
-        output_name, output_data = self.run(input_data)
-
-        if error := self.output_schema.validate_field(output_name, output_data):
-            raise ValueError(
-                f"Unable to execute block with invalid output data: {error}"
-            )
-
-        return output_name, output_data
+        for output_name, output_data in self.run(input_data):
+            if error := self.output_schema.validate_field(output_name, output_data):
+                raise ValueError(
+                    f"Unable to execute block with invalid output data: {error}"
+                )
+            yield output_name, output_data
 
 
 # ===================== Inline-Block Implementations ===================== #
@@ -181,8 +186,8 @@ class ParrotBlock(Block):
         }
     )
 
-    def run(self, input_data: BlockData) -> tuple[str, Any]:
-        return "output", input_data["input"]
+    def run(self, input_data: BlockData) -> BlockOutput:
+        yield "output", input_data["input"]
 
 
 class TextCombinerBlock(Block):
@@ -200,8 +205,8 @@ class TextCombinerBlock(Block):
         }
     )
 
-    def run(self, input_data: BlockData) -> tuple[str, Any]:
-        return "combined_text", input_data["format"].format(
+    def run(self, input_data: BlockData) -> BlockOutput:
+        yield "combined_text", input_data["format"].format(
             text1=input_data["text1"],
             text2=input_data["text2"],
         )
@@ -220,8 +225,8 @@ class PrintingBlock(Block):
         }
     )
 
-    def run(self, input_data: BlockData) -> tuple[str, Any]:
-        return "status", "printed"
+    def run(self, input_data: BlockData) -> BlockOutput:
+        yield "status", "printed"
 
 
 # ======================= Block Helper Functions ======================= #
diff --git a/rnd/autogpt_server/autogpt_server/data/execution.py b/rnd/autogpt_server/autogpt_server/data/execution.py
index 77ae0e931288..2fb6a7a03ea4 100644
--- a/rnd/autogpt_server/autogpt_server/data/execution.py
+++ b/rnd/autogpt_server/autogpt_server/data/execution.py
@@ -1,23 +1,27 @@
 import json
+from collections import defaultdict
 from datetime import datetime
 from enum import Enum
-from multiprocessing import Queue
+from multiprocessing import Manager
 from typing import Any
 
-from prisma.models import AgentNodeExecution
+from prisma.models import (
+    AgentGraphExecution,
+    AgentNodeExecution,
+    AgentNodeExecutionInputOutput,
+)
+from pydantic import BaseModel
 
-from autogpt_server.data.db import BaseDbModel
 
-
-class Execution(BaseDbModel):
-    """Data model for an execution of an Agent"""
-
-    run_id: str
+class NodeExecution(BaseModel):
+    graph_exec_id: str
+    node_exec_id: str
     node_id: str
     data: dict[str, Any]
 
 
 class ExecutionStatus(str, Enum):
+    INCOMPLETE = "INCOMPLETE"
     QUEUED = "QUEUED"
     RUNNING = "RUNNING"
     COMPLETED = "COMPLETED"
@@ -31,103 +35,205 @@ class ExecutionQueue:
     """
 
     def __init__(self):
-        self.queue: Queue[Execution] = Queue()
+        self.queue = Manager().Queue()
 
-    def add(self, execution: Execution) -> Execution:
+    def add(self, execution: NodeExecution) -> NodeExecution:
         self.queue.put(execution)
         return execution
 
-    def get(self) -> Execution:
+    def get(self) -> NodeExecution:
         return self.queue.get()
 
     def empty(self) -> bool:
         return self.queue.empty()
 
 
-class ExecutionResult(BaseDbModel):
-    run_id: str
-    execution_id: str
+class ExecutionResult(BaseModel):
+    graph_exec_id: str
+    node_exec_id: str
     node_id: str
     status: ExecutionStatus
-    input_data: dict[str, Any]
-    output_name: str
-    output_data: Any
-    creation_time: datetime
+    input_data: dict[str, Any]  # 1 input pin should consume exactly 1 data.
+    output_data: dict[str, list[Any]]  # but 1 output pin can produce multiple output.
+    add_time: datetime
+    queue_time: datetime | None
     start_time: datetime | None
     end_time: datetime | None
 
     @staticmethod
     def from_db(execution: AgentNodeExecution):
+        input_data = defaultdict()
+        for data in execution.Input or []:
+            input_data[data.name] = json.loads(data.data)
+
+        output_data = defaultdict(list)
+        for data in execution.Output or []:
+            output_data[data.name].append(json.loads(data.data))
+
         return ExecutionResult(
-            run_id=execution.executionId,
+            graph_exec_id=execution.agentGraphExecutionId,
+            node_exec_id=execution.id,
             node_id=execution.agentNodeId,
-            execution_id=execution.id,
             status=ExecutionStatus(execution.executionStatus),
-            input_data=json.loads(execution.inputData or "{}"),
-            output_name=execution.outputName or "",
-            output_data=json.loads(execution.outputData or "{}"),
-            creation_time=execution.creationTime,
-            start_time=execution.startTime,
-            end_time=execution.endTime,
+            input_data=input_data,
+            output_data=output_data,
+            add_time=execution.addedTime,
+            queue_time=execution.queuedTime,
+            start_time=execution.startedTime,
+            end_time=execution.endedTime,
         )
 
 
 # --------------------- Model functions --------------------- #
 
-
-async def enqueue_execution(execution: Execution) -> None:
-    await AgentNodeExecution.prisma().create(
+async def create_graph_execution(
+        graph_id: str,
+        node_ids: list[str],
+        data: dict[str, Any]
+) -> tuple[str, list[ExecutionResult]]:
+    """
+    Create a new AgentGraphExecution record.
+    Returns:
+        The id of the AgentGraphExecution and the list of ExecutionResult for each node.
+    """
+    result = await AgentGraphExecution.prisma().create(
         data={
-            "id": execution.id,
-            "executionId": execution.run_id,
-            "agentNodeId": execution.node_id,
-            "executionStatus": ExecutionStatus.QUEUED,
-            "inputData": json.dumps(execution.data),
-            "creationTime": datetime.now(),
-        }
+            "agentGraphId": graph_id,
+            "AgentNodeExecutions": {
+                "create": [  # type: ignore
+                    {
+                        "agentNodeId": node_id,
+                        "executionStatus": ExecutionStatus.INCOMPLETE,
+                        "Input": {
+                            "create": [
+                                {"name": name, "data": json.dumps(data)}
+                                for name, data in data.items()
+                            ]
+                        },
+                    }
+                    for node_id in node_ids
+                ]
+            },
+        },
+        include={"AgentNodeExecutions": True}
     )
 
+    return result.id, [
+        ExecutionResult.from_db(execution)
+        for execution in result.AgentNodeExecutions or []
+    ]
 
-async def start_execution(exec_id: str) -> None:
-    await AgentNodeExecution.prisma().update(
-        where={"id": exec_id},
-        data={
-            "executionStatus": ExecutionStatus.RUNNING,
-            "startTime": datetime.now(),
+
+async def upsert_execution_input(
+        node_id: str,
+        graph_exec_id: str,
+        input_name: str,
+        data: Any,
+) -> str:
+    """
+    Insert AgentNodeExecutionInputOutput record for as one of AgentNodeExecution.Input.
+    If there is no AgentNodeExecution that has no `input_name` as input, create new one.
+
+    Returns:
+        The id of the created or existing AgentNodeExecution.
+    """
+    existing_execution = await AgentNodeExecution.prisma().find_first(
+        where={  # type: ignore
+            "agentNodeId": node_id,
+            "agentGraphExecutionId": graph_exec_id,
+            "Input": {"every": {"name": {"not": input_name}}},
         },
+        order={"addedTime": "asc"},
     )
+    json_data = json.dumps(data)
+
+    if existing_execution:
+        print(f"Adding input {input_name}={data} to execution #{existing_execution.id}")
+        await AgentNodeExecutionInputOutput.prisma().create(
+            data={
+                "name": input_name,
+                "data": json_data,
+                "referencedByInputExecId": existing_execution.id,
+            }
+        )
+        return existing_execution.id
+
+    else:
+        print(f"Creating new execution for input {input_name}={data}")
+        result = await AgentNodeExecution.prisma().create(
+            data={
+                "agentNodeId": node_id,
+                "agentGraphExecutionId": graph_exec_id,
+                "executionStatus": ExecutionStatus.INCOMPLETE,
+                "Input": {"create": {"name": input_name, "data": json_data}},
+            }
+        )
+        return result.id
 
 
-async def complete_execution(exec_id: str, output: tuple[str, Any]) -> None:
-    output_name, output_data = output
-
-    await AgentNodeExecution.prisma().update(
-        where={"id": exec_id},
+async def upsert_execution_output(
+        node_exec_id: str,
+        output_name: str,
+        output_data: Any,
+) -> None:
+    """
+    Insert AgentNodeExecutionInputOutput record for as one of AgentNodeExecution.Output.
+    """
+    await AgentNodeExecutionInputOutput.prisma().create(
         data={
-            "executionStatus": ExecutionStatus.COMPLETED,
-            "outputName": output_name,
-            "outputData": json.dumps(output_data),
-            "endTime": datetime.now(),
-        },
+            "name": output_name,
+            "data": json.dumps(output_data),
+            "referencedByOutputExecId": node_exec_id,
+        }
     )
 
 
-async def fail_execution(exec_id: str, error: Exception) -> None:
-    await AgentNodeExecution.prisma().update(
-        where={"id": exec_id},
-        data={
-            "executionStatus": ExecutionStatus.FAILED,
-            "outputName": "error",
-            "outputData": str(error),
-            "endTime": datetime.now(),
-        },
+async def update_execution_status(node_exec_id: str, status: ExecutionStatus) -> None:
+    now = datetime.now()
+    data = {
+        **({"executionStatus": status}),
+        **({"queuedTime": now} if status == ExecutionStatus.QUEUED else {}),
+        **({"startedTime": now} if status == ExecutionStatus.RUNNING else {}),
+        **({"endedTime": now} if status == ExecutionStatus.FAILED else {}),
+        **({"endedTime": now} if status == ExecutionStatus.COMPLETED else {}),
+    }
+
+    count = await AgentNodeExecution.prisma().update(
+        where={"id": node_exec_id},
+        data=data  # type: ignore
     )
+    if count == 0:
+        raise ValueError(f"Execution {node_exec_id} not found.")
 
 
-async def get_executions(run_id: str) -> list[ExecutionResult]:
+async def get_executions(graph_exec_id: str) -> list[ExecutionResult]:
     executions = await AgentNodeExecution.prisma().find_many(
-        where={"executionId": run_id},
-        order={"startTime": "asc"},
+        where={"agentGraphExecutionId": graph_exec_id},
+        include={"Input": True, "Output": True},
+        order={"addedTime": "asc"},
     )
     res = [ExecutionResult.from_db(execution) for execution in executions]
     return res
+
+
+async def get_node_execution_input(node_exec_id: str) -> dict[str, Any]:
+    """
+    Get execution node input data from the previous node execution result.
+
+    Returns:
+        dictionary of input data, key is the input name, value is the input data.
+    """
+    execution = await AgentNodeExecution.prisma().find_unique_or_raise(
+        where={"id": node_exec_id},
+        include={
+            "Input": True,
+            "AgentNode": True,
+        },
+    )
+    if not execution.AgentNode:
+        raise ValueError(f"Node {execution.agentNodeId} not found.")
+
+    exec_input = json.loads(execution.AgentNode.constantInput)
+    for input_data in execution.Input or []:
+        exec_input[input_data.name] = json.loads(input_data.data)
+    return exec_input
diff --git a/rnd/autogpt_server/autogpt_server/data/graph.py b/rnd/autogpt_server/autogpt_server/data/graph.py
index 103da14d6d88..8ee9f3035060 100644
--- a/rnd/autogpt_server/autogpt_server/data/graph.py
+++ b/rnd/autogpt_server/autogpt_server/data/graph.py
@@ -1,20 +1,30 @@
 import asyncio
 import json
 import uuid
-
 from typing import Any
-from prisma.models import AgentGraph, AgentNode, AgentNodeExecution, AgentNodeLink
+
+from prisma.models import AgentGraph, AgentNode, AgentNodeLink
+from pydantic import BaseModel
 
 from autogpt_server.data.db import BaseDbModel
 
 
+class Link(BaseModel):
+    name: str
+    node_id: str
+    
+    def __init__(self, name: str, node_id: str):
+        super().__init__(name=name, node_id=node_id)
+        
+    def __iter__(self):
+        return iter((self.name, self.node_id))
+
+
 class Node(BaseDbModel):
     block_id: str
     input_default: dict[str, Any] = {}  # dict[input_name, default_value]
-    input_nodes: dict[str, str] = {}  # dict[input_name, node_id]
-    # TODO: Make it `dict[str, list[str]]`, output can be connected to multiple blocks.
-    #       Other option is to use an edge-list, but it will complicate the rest code.
-    output_nodes: dict[str, str] = {}  # dict[output_name, node_id]
+    input_nodes: list[Link] = []  # dict[input_name, node_id]
+    output_nodes: list[Link] = []  # dict[output_name, node_id]
     metadata: dict[str, Any] = {}
 
     @staticmethod
@@ -26,14 +36,20 @@ def from_db(node: AgentNode):
             id=node.id,
             block_id=node.AgentBlock.id,
             input_default=json.loads(node.constantInput),
-            input_nodes={v.sinkName: v.agentNodeSourceId for v in node.Input or []},
-            output_nodes={v.sourceName: v.agentNodeSinkId for v in node.Output or []},
+            input_nodes=[
+                Link(v.sinkName, v.agentNodeSourceId)
+                for v in node.Input or []
+            ],
+            output_nodes=[
+                Link(v.sourceName, v.agentNodeSinkId)
+                for v in node.Output or []
+            ],
             metadata=json.loads(node.metadata),
         )
 
     def connect(self, node: "Node", source_name: str, sink_name: str):
-        self.output_nodes[source_name] = node.id
-        node.input_nodes[sink_name] = self.id
+        self.output_nodes.append(Link(source_name, node.id))
+        node.input_nodes.append(Link(sink_name, self.id))
 
 
 class Graph(BaseDbModel):
@@ -85,41 +101,7 @@ async def get_graph(graph_id: str) -> Graph | None:
     return Graph.from_db(graph) if graph else None
 
 
-async def get_node_input(node: Node, exec_id: str) -> dict[str, Any]:
-    """
-    Get execution node input data from the previous node execution result.
-    Args:
-        node: The execution node.
-        exec_id: The execution ID.
-    Returns:
-        dictionary of input data, key is the input name, value is the input data.
-    """
-    query = await AgentNodeExecution.prisma().find_many(
-        where={  # type: ignore
-            "executionId": exec_id,
-            "agentNodeId": {"in": list(node.input_nodes.values())},
-            "executionStatus": "COMPLETED",
-        },
-        distinct=["agentNodeId"],  # type: ignore
-        order={"creationTime": "desc"},
-    )
-
-    latest_executions: dict[str, AgentNodeExecution] = {
-        execution.agentNodeId: execution for execution in query
-    }
-
-    return {
-        **node.input_default,
-        **{
-            name: json.loads(latest_executions[node_id].outputData or "{}")
-            for name, node_id in node.input_nodes.items()
-            if node_id in latest_executions and latest_executions[node_id].outputData
-        },
-    }
-
-
 async def create_graph(graph: Graph) -> Graph:
-
     await AgentGraph.prisma().create(
         data={
             "id": graph.id,
@@ -142,12 +124,12 @@ async def create_graph(graph: Graph) -> Graph:
     edge_source_names = {
         (source_node.id, sink_node_id): output_name
         for source_node in graph.nodes
-        for output_name, sink_node_id in source_node.output_nodes.items()
+        for output_name, sink_node_id in source_node.output_nodes
     }
     edge_sink_names = {
         (source_node_id, sink_node.id): input_name
         for sink_node in graph.nodes
-        for input_name, source_node_id in sink_node.input_nodes.items()
+        for input_name, source_node_id in sink_node.input_nodes
     }
 
     # TODO: replace bulk creation using create_many
diff --git a/rnd/autogpt_server/autogpt_server/data/schedule.py b/rnd/autogpt_server/autogpt_server/data/schedule.py
index d657300b8a64..b1a344ff9fb0 100644
--- a/rnd/autogpt_server/autogpt_server/data/schedule.py
+++ b/rnd/autogpt_server/autogpt_server/data/schedule.py
@@ -2,14 +2,13 @@
 from datetime import datetime
 from typing import Optional, Any
 
-from prisma.models import AgentExecutionSchedule
+from prisma.models import AgentGraphExecutionSchedule
 
 from autogpt_server.data.db import BaseDbModel
 
 
 class ExecutionSchedule(BaseDbModel):
-    id: str
-    agent_id: str
+    graph_id: str
     schedule: str
     is_enabled: bool
     input_data: dict[str, Any]
@@ -25,10 +24,10 @@ def __init__(
         super().__init__(is_enabled=is_enabled, **kwargs)
 
     @staticmethod
-    def from_db(schedule: AgentExecutionSchedule):
+    def from_db(schedule: AgentGraphExecutionSchedule):
         return ExecutionSchedule(
             id=schedule.id,
-            agent_id=schedule.agentGraphId,
+            graph_id=schedule.agentGraphId,
             schedule=schedule.schedule,
             is_enabled=schedule.isEnabled,
             last_updated=schedule.lastUpdated.replace(tzinfo=None),
@@ -37,7 +36,7 @@ def from_db(schedule: AgentExecutionSchedule):
 
 
 async def get_active_schedules(last_fetch_time: datetime) -> list[ExecutionSchedule]:
-    query = AgentExecutionSchedule.prisma().find_many(
+    query = AgentGraphExecutionSchedule.prisma().find_many(
         where={
             "isEnabled": True,
             "lastUpdated": {"gt": last_fetch_time}
@@ -51,17 +50,17 @@ async def get_active_schedules(last_fetch_time: datetime) -> list[ExecutionSched
 
 
 async def disable_schedule(schedule_id: str):
-    await AgentExecutionSchedule.prisma().update(
+    await AgentGraphExecutionSchedule.prisma().update(
         where={"id": schedule_id},
         data={"isEnabled": False}
     )
 
 
-async def get_schedules(agent_id: str) -> list[ExecutionSchedule]:
-    query = AgentExecutionSchedule.prisma().find_many(
+async def get_schedules(graph_id: str) -> list[ExecutionSchedule]:
+    query = AgentGraphExecutionSchedule.prisma().find_many(
         where={
             "isEnabled": True,
-            "agentGraphId": agent_id,
+            "agentGraphId": graph_id,
         },
     )
     return [
@@ -70,20 +69,21 @@ async def get_schedules(agent_id: str) -> list[ExecutionSchedule]:
     ]
 
 
-async def add_schedule(schedule: ExecutionSchedule):
-    await AgentExecutionSchedule.prisma().create(
+async def add_schedule(schedule: ExecutionSchedule) -> ExecutionSchedule:
+    obj = await AgentGraphExecutionSchedule.prisma().create(
         data={
             "id": schedule.id,
-            "agentGraphId": schedule.agent_id,
+            "agentGraphId": schedule.graph_id,
             "schedule": schedule.schedule,
             "isEnabled": schedule.is_enabled,
             "inputData": json.dumps(schedule.input_data),
         }
     )
+    return ExecutionSchedule.from_db(obj)
 
 
 async def update_schedule(schedule_id: str, is_enabled: bool):
-    await AgentExecutionSchedule.prisma().update(
+    await AgentGraphExecutionSchedule.prisma().update(
         where={"id": schedule_id},
         data={"isEnabled": is_enabled}
     )
diff --git a/rnd/autogpt_server/autogpt_server/executor/manager.py b/rnd/autogpt_server/autogpt_server/executor/manager.py
index 5296f0c8635b..7ebb375694f7 100644
--- a/rnd/autogpt_server/autogpt_server/executor/manager.py
+++ b/rnd/autogpt_server/autogpt_server/executor/manager.py
@@ -1,30 +1,35 @@
 import asyncio
 import logging
-import uuid
 from concurrent.futures import ProcessPoolExecutor
-from typing import Optional, Any
+from typing import Any, Coroutine, Generator, TypeVar
 
 from autogpt_server.data import db
 from autogpt_server.data.block import Block, get_block
-from autogpt_server.data.graph import Node, get_node, get_node_input, get_graph
 from autogpt_server.data.execution import (
-    Execution,
+    get_node_execution_input,
+    create_graph_execution,
+    update_execution_status as execution_update,
+    upsert_execution_output,
+    upsert_execution_input,
+    NodeExecution as Execution,
+    ExecutionStatus,
     ExecutionQueue,
-    enqueue_execution,
-    complete_execution,
-    fail_execution,
-    start_execution,
 )
+from autogpt_server.data.graph import Node, get_node, get_graph
 from autogpt_server.util.service import AppService, expose
 
 logger = logging.getLogger(__name__)
 
 
-def get_log_prefix(run_id: str, exec_id: str, block_name: str = "-"):
-    return f"[ExecutionManager] [graph-{run_id}|node-{exec_id}|{block_name}]"
+def get_log_prefix(graph_eid: str, node_eid: str, block_name: str = "-"):
+    return f"[ExecutionManager] [graph-{graph_eid}|node-{node_eid}|{block_name}]"
 
 
-def execute_node(loop: asyncio.AbstractEventLoop, data: Execution) -> Execution | None:
+T = TypeVar("T")
+ExecutionStream = Generator[Execution, None, None]
+
+
+def execute_node(loop: asyncio.AbstractEventLoop, data: Execution) -> ExecutionStream:
     """
     Execute a node in the graph. This will trigger a block execution on a node,
     persist the execution result, and return the subsequent node to be executed.
@@ -36,57 +41,102 @@ def execute_node(loop: asyncio.AbstractEventLoop, data: Execution) -> Execution
     Returns:
         The subsequent node to be enqueued, or None if there is no subsequent node.
     """
-    run_id = data.run_id
-    exec_id = data.id
+    graph_exec_id = data.graph_exec_id
+    node_exec_id = data.node_exec_id
     exec_data = data.data
     node_id = data.node_id
 
     asyncio.set_event_loop(loop)
-    wait = lambda f: loop.run_until_complete(f)
 
-    node: Optional[Node] = wait(get_node(node_id))
+    def wait(f: Coroutine[T, Any, T]) -> T:
+        return loop.run_until_complete(f)
+
+    node = wait(get_node(node_id))
     if not node:
         logger.error(f"Node {node_id} not found.")
-        return None
+        return
 
-    node_block: Optional[Block] = wait(get_block(node.block_id))
+    node_block = wait(get_block(node.block_id))
     if not node_block:
         logger.error(f"Block {node.block_id} not found.")
-        return None
+        return
 
     # Execute the node
-    prefix = get_log_prefix(run_id, exec_id, node_block.name)
+    prefix = get_log_prefix(graph_exec_id, node_exec_id, node_block.name)
     logger.warning(f"{prefix} execute with input:\n`{exec_data}`")
-    wait(start_execution(exec_id))
+    wait(execution_update(node_exec_id, ExecutionStatus.RUNNING))
 
     try:
-        output_name, output_data = node_block.execute(exec_data)
-        logger.warning(f"{prefix} executed with output [{output_name}]:`{output_data}`")
-        wait(complete_execution(exec_id, (output_name, output_data)))
+        for output_name, output_data in node_block.execute(exec_data):
+            logger.warning(f"{prefix} Executed, output [{output_name}]:`{output_data}`")
+            wait(execution_update(node_exec_id, ExecutionStatus.COMPLETED))
+            wait(upsert_execution_output(node_exec_id, output_name, output_data))
+
+            for execution in enqueue_next_nodes(
+                    loop, node, output_name, output_data, graph_exec_id
+            ):
+                yield execution
     except Exception as e:
         logger.exception(f"{prefix} failed with error: %s", e)
-        wait(fail_execution(exec_id, e))
+        wait(execution_update(node_exec_id, ExecutionStatus.FAILED))
+        wait(upsert_execution_output(node_exec_id, "error", str(e)))
         raise e
 
-    # Try to enqueue next eligible nodes
-    if output_name not in node.output_nodes:
-        logger.error(f"{prefix} Output [{output_name}] has no subsequent node.")
-        return None
 
-    next_node_id = node.output_nodes[output_name]
-    next_node: Optional[Node] = wait(get_node(next_node_id))
-    if not next_node:
-        logger.error(f"{prefix} Error, next node {next_node_id} not found.")
-        return None
+def enqueue_next_nodes(
+        loop: asyncio.AbstractEventLoop,
+        node: Node,
+        output_name: str,
+        output_data: Any,
+        graph_exec_id: str,
+) -> list[Execution]:
+    def wait(f: Coroutine[T, Any, T]) -> T:
+        return loop.run_until_complete(f)
 
-    next_node_input: dict[str, Any] = wait(get_node_input(next_node, run_id))
-    is_valid, validation_resp = wait(validate_exec(next_node, next_node_input))
-    if not is_valid:
-        logger.warning(f"{prefix} Skipped {next_node_id}: {validation_resp}")
-        return None
+    prefix = get_log_prefix(graph_exec_id, node.id)
+    node_id = node.id
 
-    logger.warning(f"{prefix} Enqueue next node {next_node_id}-{validation_resp}")
-    return Execution(run_id=run_id, node_id=next_node_id, data=next_node_input)
+    # Try to enqueue next eligible nodes
+    next_node_ids = [nid for name, nid in node.output_nodes if name == output_name]
+    if not next_node_ids:
+        logger.error(f"{prefix} Output [{output_name}] has no subsequent node.")
+        return []
+
+    def validate_node_execution(next_node_id: str):
+        next_node = wait(get_node(next_node_id))
+        if not next_node:
+            logger.error(f"{prefix} Error, next node {next_node_id} not found.")
+            return
+
+        next_node_input_name = next(
+            name for name, nid in next_node.input_nodes if nid == node_id
+        )
+        next_node_exec_id = wait(upsert_execution_input(
+            node_id=next_node_id,
+            graph_exec_id=graph_exec_id,
+            input_name=next_node_input_name,
+            data=output_data
+        ))
+
+        next_node_input = wait(get_node_execution_input(next_node_exec_id))
+        is_valid, validation_resp = wait(validate_exec(next_node, next_node_input))
+        if not is_valid:
+            logger.warning(f"{prefix} Skipped {next_node_id}: {validation_resp}")
+            return
+
+        logger.warning(f"{prefix} Enqueue next node {next_node_id}-{validation_resp}")
+        return Execution(
+            graph_exec_id=graph_exec_id,
+            node_exec_id=next_node_exec_id,
+            node_id=next_node_id,
+            data=next_node_input
+        )
+
+    executions = []
+    for nid in next_node_ids:
+        if execution := validate_node_execution(nid):
+            executions.append(execution)
+    return executions
 
 
 async def validate_exec(node: Node, data: dict[str, Any]) -> tuple[bool, str]:
@@ -105,10 +155,12 @@ async def validate_exec(node: Node, data: dict[str, Any]) -> tuple[bool, str]:
     if not node_block:
         return False, f"Block for {node.block_id} not found."
 
-    if not set(node.input_nodes).issubset(data):
-        return False, f"Input data missing: {set(node.input_nodes) - set(data)}"
+    input_fields = node_block.input_schema.get_fields()
+    if not input_fields.issubset(data):
+        return False, f"Input data missing: {input_fields - set(data)}"
 
     if error := node_block.input_schema.validate_data(data):
+        logger.error("Input value doesn't match schema: %s", error)
         return False, f"Input data doesn't match {node_block.name}: {error}"
 
     return True, node_block.name
@@ -123,16 +175,16 @@ def on_executor_start(cls):
         cls.loop.run_until_complete(db.connect())
 
     @classmethod
-    def on_start_execution(cls, data: Execution) -> Optional[Execution | None]:
-        """
-        A synchronous version of `execute_node`, to be used in the ProcessPoolExecutor.
-        """
-        prefix = get_log_prefix(data.run_id, data.id)
+    def on_start_execution(cls, q: ExecutionQueue, data: Execution) -> bool:
+        prefix = get_log_prefix(data.graph_exec_id, data.node_exec_id)
         try:
             logger.warning(f"{prefix} Start execution")
-            return execute_node(cls.loop, data)
+            for execution in execute_node(cls.loop, data):
+                q.add(execution)
+            return True
         except Exception as e:
-            logger.error(f"{prefix} Error: {e}")
+            logger.exception(f"{prefix} Error: {e}")
+            return False
 
 
 class ExecutionManager(AppService):
@@ -142,59 +194,63 @@ def __init__(self, pool_size: int):
         self.queue = ExecutionQueue()
 
     def run_service(self):
-        def on_complete_execution(f: asyncio.Future[Execution | None]):
-            exception = f.exception()
-            if exception:
-                logger.exception("Error during execution!! %s", exception)
-                return exception
-
-            execution = f.result()
-            if execution:
-                return self.add_node_execution(execution)
-
-            return None
-
         with ProcessPoolExecutor(
                 max_workers=self.pool_size,
                 initializer=Executor.on_executor_start,
         ) as executor:
             logger.warning(f"Execution manager started with {self.pool_size} workers.")
             while True:
-                future = executor.submit(
+                executor.submit(
                     Executor.on_start_execution,
-                    self.queue.get()
+                    self.queue,
+                    self.queue.get(),
                 )
-                future.add_done_callback(on_complete_execution)  # type: ignore
 
     @expose
     def add_execution(self, graph_id: str, data: dict[str, Any]) -> dict:
-        run_id = str(uuid.uuid4())
-
-        agent = self.run_and_wait(get_graph(graph_id))
-        if not agent:
-            raise Exception(f"Agent #{graph_id} not found.")
+        graph = self.run_and_wait(get_graph(graph_id))
+        if not graph:
+            raise Exception(f"Graph #{graph_id} not found.")
 
         # Currently, there is no constraint on the number of root nodes in the graph.
-        for node in agent.starting_nodes:
-            valid, error = self.run_and_wait(validate_exec(node, data))
+        for node in graph.starting_nodes:
+            input_data = {**node.input_default, **data}
+            valid, error = self.run_and_wait(validate_exec(node, input_data))
             if not valid:
                 raise Exception(error)
 
+        graph_exec_id, node_execs = self.run_and_wait(create_graph_execution(
+            graph_id=graph_id,
+            node_ids=[node.id for node in graph.starting_nodes],
+            data=data
+        ))
+
         executions = []
-        for node in agent.starting_nodes:
-            exec_id = self.add_node_execution(
-                Execution(run_id=run_id, node_id=node.id, data=data)
+        for node_exec in node_execs:
+            input_data = self.run_and_wait(
+                get_node_execution_input(node_exec.node_exec_id)
+            )
+            self.add_node_execution(
+                Execution(
+                    graph_exec_id=node_exec.graph_exec_id,
+                    node_exec_id=node_exec.node_exec_id,
+                    node_id=node_exec.node_id,
+                    data=input_data,
+                )
             )
             executions.append({
-                "exec_id": exec_id,
-                "node_id": node.id,
+                "id": node_exec.node_exec_id,
+                "node_id": node_exec.node_id,
             })
 
         return {
-            "run_id": run_id,
+            "id": graph_exec_id,
             "executions": executions,
         }
 
     def add_node_execution(self, execution: Execution) -> Execution:
-        self.run_and_wait(enqueue_execution(execution))
+        self.run_and_wait(execution_update(
+            execution.node_exec_id,
+            ExecutionStatus.QUEUED
+        ))
         return self.queue.add(execution)
diff --git a/rnd/autogpt_server/autogpt_server/executor/scheduler.py b/rnd/autogpt_server/autogpt_server/executor/scheduler.py
index a82619af7d34..c547d2d01231 100644
--- a/rnd/autogpt_server/autogpt_server/executor/scheduler.py
+++ b/rnd/autogpt_server/autogpt_server/executor/scheduler.py
@@ -45,20 +45,20 @@ def __refresh_jobs_from_db(self, scheduler: BackgroundScheduler):
 
             log(f"Adding recurring job {schedule.id}: {schedule.schedule}")
             scheduler.add_job(
-                self.__execute_agent,
+                self.__execute_graph,
                 CronTrigger.from_crontab(schedule.schedule),
                 id=schedule.id,
-                args=[schedule.agent_id, schedule.input_data],
+                args=[schedule.graph_id, schedule.input_data],
                 replace_existing=True,
             )
 
-    def __execute_agent(self, agent_id: str, input_data: dict):
+    def __execute_graph(self, graph_id: str, input_data: dict):
         try:
-            log(f"Executing recurring job for agent #{agent_id}")
+            log(f"Executing recurring job for graph #{graph_id}")
             execution_manager = self.execution_manager_client
-            execution_manager.add_execution(agent_id, input_data)
+            execution_manager.add_execution(graph_id, input_data)
         except Exception as e:
-            logger.error(f"Error executing agent {agent_id}: {e}")
+            logger.exception(f"Error executing graph {graph_id}: {e}")
 
     @expose
     def update_schedule(self, schedule_id: str, is_enabled: bool) -> str:
@@ -66,17 +66,16 @@ def update_schedule(self, schedule_id: str, is_enabled: bool) -> str:
         return schedule_id
 
     @expose
-    def add_execution_schedule(self, agent_id: str, cron: str, input_data: dict) -> str:
+    def add_execution_schedule(self, graph_id: str, cron: str, input_data: dict) -> str:
         schedule = model.ExecutionSchedule(
-            agent_id=agent_id,
+            graph_id=graph_id,
             schedule=cron,
             input_data=input_data,
         )
-        self.run_and_wait(model.add_schedule(schedule))
-        return schedule.id
+        return self.run_and_wait(model.add_schedule(schedule)).id
 
     @expose
-    def get_execution_schedules(self, agent_id: str) -> dict[str, str]:
-        query = model.get_schedules(agent_id)
+    def get_execution_schedules(self, graph_id: str) -> dict[str, str]:
+        query = model.get_schedules(graph_id)
         schedules: list[model.ExecutionSchedule] = self.run_and_wait(query)
         return {v.id: v.schedule for v in schedules}
diff --git a/rnd/autogpt_server/autogpt_server/server/server.py b/rnd/autogpt_server/autogpt_server/server/server.py
index 7e787cf5b575..40a87c2e7691 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -4,7 +4,14 @@
 from contextlib import asynccontextmanager
 from fastapi import APIRouter, FastAPI, HTTPException
 
-from autogpt_server.data import db, execution, graph, block
+from autogpt_server.data import db, execution, block
+from autogpt_server.data.graph import (
+    create_graph,
+    get_graph,
+    get_graph_ids,
+    Graph,
+    Link,
+)
 from autogpt_server.executor import ExecutionManager, ExecutionScheduler
 from autogpt_server.util.process import AppProcess
 from autogpt_server.util.service import get_service_client
@@ -34,46 +41,46 @@ def run(self):
         router = APIRouter()
         router.add_api_route(
             path="/blocks",
-            endpoint=self.get_agent_blocks,
+            endpoint=self.get_graph_blocks,
             methods=["GET"],
         )
         router.add_api_route(
-            path="/agents",
-            endpoint=self.get_agents,
+            path="/graphs",
+            endpoint=self.get_graphs,
             methods=["GET"],
         )
         router.add_api_route(
-            path="/agents/{agent_id}",
-            endpoint=self.get_agent,
+            path="/graphs/{graph_id}",
+            endpoint=self.get_graph,
             methods=["GET"],
         )
         router.add_api_route(
-            path="/agents",
-            endpoint=self.create_agent,
+            path="/graphs",
+            endpoint=self.create_new_graph,
             methods=["POST"],
         )
         router.add_api_route(
-            path="/agents/{agent_id}/execute",
-            endpoint=self.execute_agent,
+            path="/graphs/{graph_id}/execute",
+            endpoint=self.execute_graph,
             methods=["POST"],
         )
         router.add_api_route(
-            path="/agents/{agent_id}/executions/{run_id}",
+            path="/graphs/{graph_id}/executions/{run_id}",
             endpoint=self.get_executions,
             methods=["GET"],
         )
         router.add_api_route(
-            path="/agents/{agent_id}/schedules",
-            endpoint=self.schedule_agent,
+            path="/graphs/{graph_id}/schedules",
+            endpoint=self.create_schedule,
             methods=["POST"],
         )
         router.add_api_route(
-            path="/agents/{agent_id}/schedules",
+            path="/graphs/{graph_id}/schedules",
             endpoint=self.get_execution_schedules,
             methods=["GET"],
         )
         router.add_api_route(
-            path="/agents/schedules/{schedule_id}",
+            path="/graphs/schedules/{schedule_id}",
             endpoint=self.update_schedule,
             methods=["PUT"],
         )
@@ -89,52 +96,51 @@ def execution_manager_client(self) -> ExecutionManager:
     def execution_scheduler_client(self) -> ExecutionScheduler:
         return get_service_client(ExecutionScheduler)
 
-    async def get_agent_blocks(self) -> list[dict]:
+    async def get_graph_blocks(self) -> list[dict]:
         return [v.to_dict() for v in await block.get_blocks()]
 
-    async def get_agents(self) -> list[str]:
-        return await graph.get_graph_ids()
+    async def get_graphs(self) -> list[str]:
+        return await get_graph_ids()
 
-    async def get_agent(self, agent_id: str) -> graph.Graph:
-        agent = await graph.get_graph(agent_id)
-        if not agent:
-            raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
+    async def get_graph(self, graph_id: str) -> Graph:
+        graph = await get_graph(graph_id)
+        if not graph:
+            raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
+        return graph
 
-        return agent
-
-    async def create_agent(self, agent: graph.Graph) -> graph.Graph:
-        agent.id = str(uuid.uuid4())
-
-        id_map = {node.id: str(uuid.uuid4()) for node in agent.nodes}
-        for node in agent.nodes:
+    async def create_new_graph(self, graph: Graph) -> Graph:
+        # TODO: replace uuid generation here to DB generated uuids.
+        graph.id = str(uuid.uuid4())
+        id_map = {node.id: str(uuid.uuid4()) for node in graph.nodes}
+        for node in graph.nodes:
             node.id = id_map[node.id]
-            node.input_nodes = {k: id_map[v] for k, v in node.input_nodes.items()}
-            node.output_nodes = {k: id_map[v] for k, v in node.output_nodes.items()}
+            node.input_nodes = [Link(k, id_map[v]) for k, v in node.input_nodes]
+            node.output_nodes = [Link(k, id_map[v]) for k, v in node.output_nodes]
 
-        return await graph.create_graph(agent)
+        return await create_graph(graph)
 
-    async def execute_agent(self, agent_id: str, node_input: dict) -> dict:
+    async def execute_graph(self, graph_id: str, node_input: dict) -> dict:
         try:
-            return self.execution_manager_client.add_execution(agent_id, node_input)
+            return self.execution_manager_client.add_execution(graph_id, node_input)
         except Exception as e:
             msg = e.__str__().encode().decode('unicode_escape')
             raise HTTPException(status_code=400, detail=msg)
 
     async def get_executions(
-            self, agent_id: str, run_id: str) -> list[execution.ExecutionResult]:
-        agent = await graph.get_graph(agent_id)
-        if not agent:
-            raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
+            self, graph_id: str, run_id: str) -> list[execution.ExecutionResult]:
+        graph = await get_graph(graph_id)
+        if not graph:
+            raise HTTPException(status_code=404, detail=f"Agent #{graph_id} not found.")
 
         return await execution.get_executions(run_id)
 
-    async def schedule_agent(self, agent_id: str, cron: str, input_data: dict) -> dict:
-        agent = await graph.get_graph(agent_id)
-        if not agent:
-            raise HTTPException(status_code=404, detail=f"Agent #{agent_id} not found.")
+    async def create_schedule(self, graph_id: str, cron: str, input_data: dict) -> dict:
+        graph = await get_graph(graph_id)
+        if not graph:
+            raise HTTPException(status_code=404, detail=f"Graph #{graph_id} not found.")
         execution_scheduler = self.execution_scheduler_client
         return {
-            "id": execution_scheduler.add_execution_schedule(agent_id, cron, input_data)
+            "id": execution_scheduler.add_execution_schedule(graph_id, cron, input_data)
         }
 
     def update_schedule(self, schedule_id: str, input_data: dict) -> dict:
@@ -143,6 +149,6 @@ def update_schedule(self, schedule_id: str, input_data: dict) -> dict:
         execution_scheduler.update_schedule(schedule_id, is_enabled)
         return {"id": schedule_id}
 
-    def get_execution_schedules(self, agent_id: str) -> dict[str, str]:
+    def get_execution_schedules(self, graph_id: str) -> dict[str, str]:
         execution_scheduler = self.execution_scheduler_client
-        return execution_scheduler.get_execution_schedules(agent_id)
+        return execution_scheduler.get_execution_schedules(graph_id)
diff --git a/rnd/autogpt_server/autogpt_server/util/service.py b/rnd/autogpt_server/autogpt_server/util/service.py
index 5cfc3d220ff2..e954eb089c1a 100644
--- a/rnd/autogpt_server/autogpt_server/util/service.py
+++ b/rnd/autogpt_server/autogpt_server/util/service.py
@@ -15,6 +15,7 @@
 
 logger = logging.getLogger(__name__)
 conn_retry = retry(stop=stop_after_delay(5), wait=wait_exponential(multiplier=0.1))
+T = TypeVar("T")
 
 
 def expose(func: Callable) -> Callable:
@@ -23,7 +24,7 @@ def wrapper(*args, **kwargs):
             return func(*args, **kwargs)
         except Exception as e:
             msg = f"Error in {func.__name__}: {e.__str__()}"
-            logger.error(msg)
+            logger.exception(msg)
             raise Exception(msg, e)
 
     return pyro.expose(wrapper)
@@ -51,10 +52,10 @@ def run_service(self):
         while True:
             time.sleep(10)
 
-    def run_async(self, coro: Coroutine):
+    def run_async(self, coro: Coroutine[T, Any, T]):
         return asyncio.run_coroutine_threadsafe(coro, self.shared_event_loop)
 
-    def run_and_wait(self, coro: Coroutine):
+    def run_and_wait(self, coro: Coroutine[T, Any, T]) -> T:
         future = self.run_async(coro)
         return future.result()
 
diff --git a/rnd/autogpt_server/schema.prisma b/rnd/autogpt_server/schema.prisma
index dd049b6c76f6..fa2db7cd4608 100644
--- a/rnd/autogpt_server/schema.prisma
+++ b/rnd/autogpt_server/schema.prisma
@@ -11,23 +11,24 @@ generator client {
 
 // This model describes the Agent Graph/Flow (Multi Agent System).
 model AgentGraph {
-  id          String  @id
+  id          String  @id @default(uuid())
   name        String?
   description String?
 
-  AgentNodes             AgentNode[]              @relation("AgentGraphNodes")
-  AgentExecutionSchedule AgentExecutionSchedule[]
+  AgentNodes                  AgentNode[]
+  AgentGraphExecution         AgentGraphExecution[]
+  AgentGraphExecutionSchedule AgentGraphExecutionSchedule[]
 }
 
 // This model describes a single node in the Agent Graph/Flow (Multi Agent System).
 model AgentNode {
-  id String @id
+  id String @id @default(uuid())
 
   agentBlockId String
   AgentBlock   AgentBlock @relation(fields: [agentBlockId], references: [id])
 
   agentGraphId String
-  AgentGraph   AgentGraph @relation("AgentGraphNodes", fields: [agentGraphId], references: [id])
+  AgentGraph   AgentGraph @relation(fields: [agentGraphId], references: [id])
 
   // List of consumed input, that the parent node should provide.
   Input AgentNodeLink[] @relation("AgentNodeSink")
@@ -46,7 +47,7 @@ model AgentNode {
 
 // This model describes the link between two AgentNodes.
 model AgentNodeLink {
-  id String @id
+  id String @id @default(uuid())
 
   // Output of a node is connected to the source of the link.
   agentNodeSourceId String
@@ -61,7 +62,7 @@ model AgentNodeLink {
 
 // This model describes a component that will be executed by the AgentNode.
 model AgentBlock {
-  id   String @id
+  id   String @id @default(uuid())
   name String @unique
 
   // We allow a block to have multiple types of input & output.
@@ -73,45 +74,55 @@ model AgentBlock {
   ReferencedByAgentNode AgentNode[]
 }
 
+// This model describes the execution of an AgentGraph.
+model AgentGraphExecution {
+  id String @id @default(uuid())
+
+  agentGraphId String
+  AgentGraph   AgentGraph @relation(fields: [agentGraphId], references: [id])
+
+  AgentNodeExecutions AgentNodeExecution[]
+}
+
 // This model describes the execution of an AgentNode.
 model AgentNodeExecution {
-  id          String @id
-  executionId String
+  id String @id @default(uuid())
+
+  agentGraphExecutionId String
+  AgentGraphExecution   AgentGraphExecution @relation(fields: [agentGraphExecutionId], references: [id])
 
   agentNodeId String
   AgentNode   AgentNode @relation(fields: [agentNodeId], references: [id])
 
-  inputData   String?
-  inputFiles  FileDefinition[] @relation("InputFiles")
-  outputName  String?
-  outputData  String?
-  outputFiles FileDefinition[] @relation("OutputFiles")
+  Input  AgentNodeExecutionInputOutput[] @relation("AgentNodeExecutionInput")
+  Output AgentNodeExecutionInputOutput[] @relation("AgentNodeExecutionOutput")
 
   // sqlite does not support enum
-  // enum Status { QUEUED, RUNNING, SUCCESS, FAILED }
+  // enum Status { INCOMPLETE, QUEUED, RUNNING, SUCCESS, FAILED }
   executionStatus String
-  creationTime    DateTime
-  startTime       DateTime?
-  endTime         DateTime?
+  addedTime       DateTime  @default(now())
+  queuedTime      DateTime?
+  startedTime     DateTime?
+  endedTime       DateTime?
 }
 
-// This model describes a file that can be used as input/output of an AgentNodeExecution.
-model FileDefinition {
-  id       String  @id
-  path     String
-  metadata String? // JSON serialized object
-  mimeType String?
-  size     Int?
-  hash     String?
-  encoding String?
+// This model describes the output of an AgentNodeExecution.
+model AgentNodeExecutionInputOutput {
+  id String @id @default(uuid())
+
+  name String
+  data String
+  time DateTime @default(now())
 
   // Prisma requires explicit back-references.
-  ReferencedByInputFiles  AgentNodeExecution[] @relation("InputFiles")
-  ReferencedByOutputFiles AgentNodeExecution[] @relation("OutputFiles")
+  referencedByInputExecId  String?
+  ReferencedByInputExec    AgentNodeExecution? @relation("AgentNodeExecutionInput", fields: [referencedByInputExecId], references: [id])
+  referencedByOutputExecId String?
+  ReferencedByOutputExec   AgentNodeExecution? @relation("AgentNodeExecutionOutput", fields: [referencedByOutputExecId], references: [id])
 }
 
 // This model describes the recurring execution schedule of an Agent.
-model AgentExecutionSchedule {
+model AgentGraphExecutionSchedule {
   id String @id
 
   agentGraphId String
diff --git a/rnd/autogpt_server/test/executor/test_manager.py b/rnd/autogpt_server/test/executor/test_manager.py
index 38af3f0471b0..c521c5d98cbb 100644
--- a/rnd/autogpt_server/test/executor/test_manager.py
+++ b/rnd/autogpt_server/test/executor/test_manager.py
@@ -45,18 +45,18 @@ async def create_test_graph() -> graph.Graph:
     return test_graph
 
 
-async def execute_agent(test_manager: ExecutionManager, test_graph: graph.Graph):
+async def execute_graph(test_manager: ExecutionManager, test_graph: graph.Graph):
     # --- Test adding new executions --- #
     text = "Hello, World!"
     input_data = {"input": text}
     agent_server = AgentServer()
-    response = await agent_server.execute_agent(test_graph.id, input_data)
+    response = await agent_server.execute_graph(test_graph.id, input_data)
     executions = response["executions"]
-    run_id = response["run_id"]
+    graph_exec_id = response["id"]
     assert len(executions) == 2
 
     async def is_execution_completed():
-        execs = await agent_server.get_executions(test_graph.id, run_id)
+        execs = await agent_server.get_executions(test_graph.id, graph_exec_id)
         return test_manager.queue.empty() and len(execs) == 4
 
     # Wait for the executions to complete
@@ -67,34 +67,30 @@ async def is_execution_completed():
 
     # Execution queue should be empty
     assert await is_execution_completed()
-    executions = await agent_server.get_executions(test_graph.id, run_id)
+    executions = await agent_server.get_executions(test_graph.id, graph_exec_id)
 
     # Executing ParrotBlock1
     exec = executions[0]
     assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.run_id == run_id
-    assert exec.output_name == "output"
-    assert exec.output_data == "Hello, World!"
-    assert exec.input_data == input_data
+    assert exec.graph_exec_id == graph_exec_id
+    assert exec.output_data == {"output": ["Hello, World!"]}
+    assert exec.input_data == {"input": text}
     assert exec.node_id == test_graph.nodes[0].id
 
     # Executing ParrotBlock2
     exec = executions[1]
     assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.run_id == run_id
-    assert exec.output_name == "output"
-    assert exec.output_data == "Hello, World!"
-    assert exec.input_data == input_data
+    assert exec.graph_exec_id == graph_exec_id
+    assert exec.output_data == {"output": ["Hello, World!"]}
+    assert exec.input_data == {"input": text}
     assert exec.node_id == test_graph.nodes[1].id
 
     # Executing TextCombinerBlock
     exec = executions[2]
     assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.run_id == run_id
-    assert exec.output_name == "combined_text"
-    assert exec.output_data == "Hello, World!,Hello, World!"
+    assert exec.graph_exec_id == graph_exec_id
+    assert exec.output_data == {"combined_text": ["Hello, World!,Hello, World!"]}
     assert exec.input_data == {
-        "format": "{text1},{text2}",
         "text1": "Hello, World!",
         "text2": "Hello, World!",
     }
@@ -103,9 +99,8 @@ async def is_execution_completed():
     # Executing PrintingBlock
     exec = executions[3]
     assert exec.status == execution.ExecutionStatus.COMPLETED
-    assert exec.run_id == run_id
-    assert exec.output_name == "status"
-    assert exec.output_data == "printed"
+    assert exec.graph_exec_id == graph_exec_id
+    assert exec.output_data == {"status": ["printed"]}
     assert exec.input_data == {"text": "Hello, World!,Hello, World!"}
     assert exec.node_id == test_graph.nodes[3].id
 
@@ -116,4 +111,4 @@ async def test_agent_execution():
         with ExecutionManager(1) as test_manager:
             await db.connect()
             test_graph = await create_test_graph()
-            await execute_agent(test_manager, test_graph)
+            await execute_graph(test_manager, test_graph)

From 6e1c9d44a4db87d508059eee180788519475637a Mon Sep 17 00:00:00 2001
From: Krzysztof Czerwinski <kpczerwinski@gmail.com>
Date: Wed, 26 Jun 2024 19:41:12 +0200
Subject: [PATCH 06/23] Update Agent Server `README.md`

---
 rnd/autogpt_server/README.md | 54 ++++++++++++++++++++++++++++++++++++
 1 file changed, 54 insertions(+)

diff --git a/rnd/autogpt_server/README.md b/rnd/autogpt_server/README.md
index 1563240a32e7..57342f245c25 100644
--- a/rnd/autogpt_server/README.md
+++ b/rnd/autogpt_server/README.md
@@ -18,3 +18,57 @@ It will also trigger the agent execution by pushing its execution request to the
 A component that will execute the agents.
 This component will be a pool of processes/threads that will consume the ExecutionQueue and execute the agent accordingly. 
 The result and progress of its execution will be persisted in the database.
+
+## Setup
+
+This setup is for MacOS/Linux.
+To setup the project follow these steps inside the project directory:
+
+1. Enter poetry shell
+   ```
+   poetry shell
+   ```
+
+1. Install dependencies
+   ```
+   poetry install
+   ```
+
+1. Generate prisma client
+   ```
+   poetry run prisma generate
+   ```
+
+   In case prisma generates client for the global python installation instead of the virtual environment the current mitigation is to just uninstall the global prisma package:
+   ```
+   pip uninstall prisma
+   ```
+
+   And then run the generation again.
+   The path *should* look something like this:  
+   `<some path>/pypoetry/virtualenvs/autogpt-server-TQIRSwR6-py3.12/bin/prisma`
+
+1. Migrate the database, be careful because this deletes current data in the database
+   ```
+   poetry run prisma migrate dev
+   ```
+   
+1. Start the server, this starts the server in the background
+   ```
+   poetry run python ./autogpt_server/cli.py start
+   ```
+    
+   You may need to change the permissions of the file to make it executable
+   ```
+   chmod +x autogpt_server/cli.py
+   ```
+
+1. Stop the server
+   ```
+   poetry run python ./autogpt_server/cli.py stop
+   ```
+
+1. To run the tests
+   ```
+   poetry run pytest
+   ```

From dd960f9306e19fb30a3ffbe78734d322b31636e7 Mon Sep 17 00:00:00 2001
From: Aarushi <50577581+aarushik93@users.noreply.github.com>
Date: Thu, 27 Jun 2024 10:02:54 +0100
Subject: [PATCH 07/23] Add support for nextjs based app (#7266)

* Getting started with nextjs

* fix linting

* remove gitignore for package.json
---
 .gitignore                              |   2 +-
 rnd/autogpt_builder/.eslintrc.json      |   3 +
 rnd/autogpt_builder/.gitignore          |  36 +++++++++
 rnd/autogpt_builder/README.md           |  25 ++++++
 rnd/autogpt_builder/next.config.mjs     |   4 +
 rnd/autogpt_builder/package.json        |  26 +++++++
 rnd/autogpt_builder/postcss.config.mjs  |   8 ++
 rnd/autogpt_builder/public/autogpt.svg  |  72 ++++++++++++++++++
 rnd/autogpt_builder/src/app/favicon.ico | Bin 0 -> 15406 bytes
 rnd/autogpt_builder/src/app/globals.css |  33 ++++++++
 rnd/autogpt_builder/src/app/layout.tsx  |  22 ++++++
 rnd/autogpt_builder/src/app/page.tsx    |  97 ++++++++++++++++++++++++
 rnd/autogpt_builder/tailwind.config.ts  |  20 +++++
 rnd/autogpt_builder/tsconfig.json       |  26 +++++++
 14 files changed, 373 insertions(+), 1 deletion(-)
 create mode 100644 rnd/autogpt_builder/.eslintrc.json
 create mode 100644 rnd/autogpt_builder/.gitignore
 create mode 100644 rnd/autogpt_builder/README.md
 create mode 100644 rnd/autogpt_builder/next.config.mjs
 create mode 100644 rnd/autogpt_builder/package.json
 create mode 100644 rnd/autogpt_builder/postcss.config.mjs
 create mode 100644 rnd/autogpt_builder/public/autogpt.svg
 create mode 100644 rnd/autogpt_builder/src/app/favicon.ico
 create mode 100644 rnd/autogpt_builder/src/app/globals.css
 create mode 100644 rnd/autogpt_builder/src/app/layout.tsx
 create mode 100644 rnd/autogpt_builder/src/app/page.tsx
 create mode 100644 rnd/autogpt_builder/tailwind.config.ts
 create mode 100644 rnd/autogpt_builder/tsconfig.json

diff --git a/.gitignore b/.gitignore
index 3b4050b42eae..d23d09da8ed0 100644
--- a/.gitignore
+++ b/.gitignore
@@ -162,7 +162,7 @@ agbenchmark/reports/
 
 # Nodejs
 package-lock.json
-package.json
+
 
 # Allow for locally private items
 # private
diff --git a/rnd/autogpt_builder/.eslintrc.json b/rnd/autogpt_builder/.eslintrc.json
new file mode 100644
index 000000000000..bffb357a7122
--- /dev/null
+++ b/rnd/autogpt_builder/.eslintrc.json
@@ -0,0 +1,3 @@
+{
+  "extends": "next/core-web-vitals"
+}
diff --git a/rnd/autogpt_builder/.gitignore b/rnd/autogpt_builder/.gitignore
new file mode 100644
index 000000000000..fd3dbb571a12
--- /dev/null
+++ b/rnd/autogpt_builder/.gitignore
@@ -0,0 +1,36 @@
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+/node_modules
+/.pnp
+.pnp.js
+.yarn/install-state.gz
+
+# testing
+/coverage
+
+# next.js
+/.next/
+/out/
+
+# production
+/build
+
+# misc
+.DS_Store
+*.pem
+
+# debug
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# local env files
+.env*.local
+
+# vercel
+.vercel
+
+# typescript
+*.tsbuildinfo
+next-env.d.ts
diff --git a/rnd/autogpt_builder/README.md b/rnd/autogpt_builder/README.md
new file mode 100644
index 000000000000..5aa16c678118
--- /dev/null
+++ b/rnd/autogpt_builder/README.md
@@ -0,0 +1,25 @@
+This is the frontend for AutoGPT's next generation
+
+## Getting Started
+
+First, run the development server:
+
+```bash
+npm run dev
+# or
+yarn dev
+# or
+pnpm dev
+# or
+bun dev
+```
+
+Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
+
+You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
+
+This project uses [`next/font`](https://nextjs.org/docs/basic-features/font-optimization) to automatically optimize and load Inter, a custom Google Font.
+
+## Deploy 
+
+TODO
\ No newline at end of file
diff --git a/rnd/autogpt_builder/next.config.mjs b/rnd/autogpt_builder/next.config.mjs
new file mode 100644
index 000000000000..4678774e6d60
--- /dev/null
+++ b/rnd/autogpt_builder/next.config.mjs
@@ -0,0 +1,4 @@
+/** @type {import('next').NextConfig} */
+const nextConfig = {};
+
+export default nextConfig;
diff --git a/rnd/autogpt_builder/package.json b/rnd/autogpt_builder/package.json
new file mode 100644
index 000000000000..67b793bbadc6
--- /dev/null
+++ b/rnd/autogpt_builder/package.json
@@ -0,0 +1,26 @@
+{
+  "name": "autogpt_builder",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "lint": "next lint"
+  },
+  "dependencies": {
+    "react": "^18",
+    "react-dom": "^18",
+    "next": "14.2.4"
+  },
+  "devDependencies": {
+    "typescript": "^5",
+    "@types/node": "^20",
+    "@types/react": "^18",
+    "@types/react-dom": "^18",
+    "postcss": "^8",
+    "tailwindcss": "^3.4.1",
+    "eslint": "^8",
+    "eslint-config-next": "14.2.4"
+  }
+}
diff --git a/rnd/autogpt_builder/postcss.config.mjs b/rnd/autogpt_builder/postcss.config.mjs
new file mode 100644
index 000000000000..1a69fd2a450a
--- /dev/null
+++ b/rnd/autogpt_builder/postcss.config.mjs
@@ -0,0 +1,8 @@
+/** @type {import('postcss-load-config').Config} */
+const config = {
+  plugins: {
+    tailwindcss: {},
+  },
+};
+
+export default config;
diff --git a/rnd/autogpt_builder/public/autogpt.svg b/rnd/autogpt_builder/public/autogpt.svg
new file mode 100644
index 000000000000..3f322e4d3a0a
--- /dev/null
+++ b/rnd/autogpt_builder/public/autogpt.svg
@@ -0,0 +1,72 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 27.8.1, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="AUTOgpt_logo" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px"
+	 y="0px" viewBox="0 0 2000 2000" style="enable-background:new 0 0 2000 2000;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:url(#SVGID_1_);}
+	.st1{fill:url(#SVGID_00000044859330063917736280000017916509329539228544_);}
+	.st2{fill:url(#SVGID_00000140714777961496567230000017473346511890493859_);}
+	.st3{fill:url(#SVGID_00000016043459524955834950000015278934287808704695_);}
+	.st4{fill:url(#SVGID_00000133526441615091004900000013561443639704575621_);}
+	.st5{fill:#000030;}
+	.st6{fill:#669CF6;}
+</style>
+<g>
+	
+		<linearGradient id="SVGID_1_" gradientUnits="userSpaceOnUse" x1="17241.2793" y1="15058.8164" x2="17241.2793" y2="16623.8047" gradientTransform="matrix(7.200000e-02 0 0 7.200000e-02 0.928 1.072)">
+		<stop  offset="0" style="stop-color:#000030"/>
+		<stop  offset="1" style="stop-color:#9900FF"/>
+	</linearGradient>
+	<path class="st0" d="M1216.7,1078.8v86.8c0,6.4-5.2,11.6-11.6,11.6c-6.9,0-12.6-4.4-12.6-11.6V1036c0-27.5,22.3-49.8,49.8-49.8
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+		c8.5,0,15.4,6.9,15.4,15.4s-6.9,15.4-15.4,15.4c-1.6,0-3.1-0.2-4.5-0.7c4.5,6.1,11.8,10.1,19.9,10.1c13.7,0,24.8-11.1,24.8-24.8
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+	</linearGradient>
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diff --git a/rnd/autogpt_builder/src/app/globals.css b/rnd/autogpt_builder/src/app/globals.css
new file mode 100644
index 000000000000..875c01e819b9
--- /dev/null
+++ b/rnd/autogpt_builder/src/app/globals.css
@@ -0,0 +1,33 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+:root {
+  --foreground-rgb: 0, 0, 0;
+  --background-start-rgb: 214, 219, 220;
+  --background-end-rgb: 255, 255, 255;
+}
+
+@media (prefers-color-scheme: dark) {
+  :root {
+    --foreground-rgb: 255, 255, 255;
+    --background-start-rgb: 0, 0, 0;
+    --background-end-rgb: 0, 0, 0;
+  }
+}
+
+body {
+  color: rgb(var(--foreground-rgb));
+  background: linear-gradient(
+      to bottom,
+      transparent,
+      rgb(var(--background-end-rgb))
+    )
+    rgb(var(--background-start-rgb));
+}
+
+@layer utilities {
+  .text-balance {
+    text-wrap: balance;
+  }
+}
diff --git a/rnd/autogpt_builder/src/app/layout.tsx b/rnd/autogpt_builder/src/app/layout.tsx
new file mode 100644
index 000000000000..3760c7434ad5
--- /dev/null
+++ b/rnd/autogpt_builder/src/app/layout.tsx
@@ -0,0 +1,22 @@
+import type { Metadata } from "next";
+import { Inter } from "next/font/google";
+import "./globals.css";
+
+const inter = Inter({ subsets: ["latin"] });
+
+export const metadata: Metadata = {
+  title: "NextGen AutoGPT",
+  description: "Your one stop shop to creating AI Agents",
+};
+
+export default function RootLayout({
+  children,
+}: Readonly<{
+  children: React.ReactNode;
+}>) {
+  return (
+    <html lang="en">
+      <body className={inter.className}>{children}</body>
+    </html>
+  );
+}
diff --git a/rnd/autogpt_builder/src/app/page.tsx b/rnd/autogpt_builder/src/app/page.tsx
new file mode 100644
index 000000000000..916ce244e8f8
--- /dev/null
+++ b/rnd/autogpt_builder/src/app/page.tsx
@@ -0,0 +1,97 @@
+import Image from "next/image";
+
+export default function Home() {
+  return (
+    <main className="flex min-h-screen flex-col items-center justify-between p-24">
+      <div className="z-10 w-full max-w-5xl items-center justify-between font-mono text-sm lg:flex">
+        <p className="fixed left-0 top-0 flex w-full justify-center border-b border-gray-300 bg-gradient-to-b from-zinc-200 pb-6 pt-8 backdrop-blur-2xl dark:border-neutral-800 dark:bg-zinc-800/30 dark:from-inherit lg:static lg:w-auto  lg:rounded-xl lg:border lg:bg-gray-200 lg:p-4 lg:dark:bg-zinc-800/30">
+          Get started by adding a&nbsp;
+          <code className="font-mono font-bold">node</code>
+        </p>
+        <div className="fixed bottom-0 left-0 flex h-48 w-full items-end justify-center bg-gradient-to-t from-white via-white dark:from-black dark:via-black lg:static lg:size-auto lg:bg-none">
+          <a
+            className="pointer-events-none flex place-items-center gap-2 p-8 lg:pointer-events-auto lg:p-0"
+            href="https://news.agpt.co/"
+            target="_blank"
+            rel="noopener noreferrer"
+          >
+            By{" "}
+            <Image
+              src="/autogpt.svg"
+              alt="AutoGPT Logo"
+              className="dark:invert"
+              width={100}
+              height={24}
+              priority
+            />
+          </a>
+        </div>
+      </div>
+
+      <div className="relative z-[-1] flex place-items-center before:absolute before:h-[300px] before:w-full before:-translate-x-1/2 before:rounded-full before:bg-gradient-radial before:from-white before:to-transparent before:blur-2xl before:content-[''] after:absolute after:-z-20 after:h-[180px] after:w-full after:translate-x-1/3 after:bg-gradient-conic after:from-sky-200 after:via-blue-200 after:blur-2xl after:content-[''] before:dark:bg-gradient-to-br before:dark:from-transparent before:dark:to-blue-700 before:dark:opacity-10 after:dark:from-sky-900 after:dark:via-[#0141ff] after:dark:opacity-40 sm:before:w-[480px] sm:after:w-[240px] before:lg:h-[360px]">
+        <Image
+          className="relative dark:drop-shadow-[0_0_0.3rem_#ffffff70] dark:invert"
+          src="/autogpt.svg"
+          alt="AutoGPT Logo"
+          width={180}
+          height={37}
+          priority
+        />
+      </div>
+
+      <div className="mb-32 w-full flex place-items-center max-w-5xl grid grid-cols-1 md:grid-cols-3 gap-4 text-center lg:mb-0 lg:text-left">
+        <a
+          href="https://docs.agpt.co/"
+          className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
+          target="_blank"
+          rel="noopener noreferrer"
+        >
+          <h2 className="mb-3 text-2xl font-semibold">
+            Docs{" "}
+            <span className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
+              -&gt;
+            </span>
+          </h2>
+          <p className="m-0 max-w-[30ch] text-sm opacity-50">
+            Find all the information about AutoGPT&apos;s features.
+          </p>
+        </a>
+
+
+        <a
+          href=""
+          className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
+          target="_blank"
+          rel="noopener noreferrer"
+        >
+          <h2 className="mb-3 text-2xl font-semibold">
+            Runner{" "}
+            <span className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
+              -&gt;
+            </span>
+          </h2>
+          <p className="m-0 max-w-[30ch] text-sm opacity-50">
+            Run your agent!
+          </p>
+        </a>
+
+        <a
+          href=""
+          className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
+          target="_blank"
+          rel="noopener noreferrer"
+        >
+          <h2 className="mb-3 text-2xl font-semibold">
+            Deploy{" "}
+            <span className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
+              -&gt;
+            </span>
+          </h2>
+          <p className="m-0 max-w-[30ch] text-balance text-sm opacity-50">
+            Deploy your agent!
+          </p>
+        </a>
+      </div>
+    </main>
+  );
+}
diff --git a/rnd/autogpt_builder/tailwind.config.ts b/rnd/autogpt_builder/tailwind.config.ts
new file mode 100644
index 000000000000..e9a0944e7b31
--- /dev/null
+++ b/rnd/autogpt_builder/tailwind.config.ts
@@ -0,0 +1,20 @@
+import type { Config } from "tailwindcss";
+
+const config: Config = {
+  content: [
+    "./src/pages/**/*.{js,ts,jsx,tsx,mdx}",
+    "./src/components/**/*.{js,ts,jsx,tsx,mdx}",
+    "./src/app/**/*.{js,ts,jsx,tsx,mdx}",
+  ],
+  theme: {
+    extend: {
+      backgroundImage: {
+        "gradient-radial": "radial-gradient(var(--tw-gradient-stops))",
+        "gradient-conic":
+          "conic-gradient(from 180deg at 50% 50%, var(--tw-gradient-stops))",
+      },
+    },
+  },
+  plugins: [],
+};
+export default config;
diff --git a/rnd/autogpt_builder/tsconfig.json b/rnd/autogpt_builder/tsconfig.json
new file mode 100644
index 000000000000..7b2858930495
--- /dev/null
+++ b/rnd/autogpt_builder/tsconfig.json
@@ -0,0 +1,26 @@
+{
+  "compilerOptions": {
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "preserve",
+    "incremental": true,
+    "plugins": [
+      {
+        "name": "next"
+      }
+    ],
+    "paths": {
+      "@/*": ["./src/*"]
+    }
+  },
+  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
+  "exclude": ["node_modules"]
+}

From cdc658695f53688ff4a304e73294d148e846e409 Mon Sep 17 00:00:00 2001
From: Aarushi <50577581+aarushik93@users.noreply.github.com>
Date: Thu, 27 Jun 2024 10:14:25 +0100
Subject: [PATCH 08/23] Add reactflow component in AutoGPT builder (#7270)

* Getting started with nextjs

* fix linting

* remove gitignore for package.json

* pulling in reactflow components

* updating css

* use environment variables

* clean up css / ui a lil

* Fixed nodes/run button animation

so they are always visible

---------

Co-authored-by: Bentlybro <tomnoon9@gmail.com>
---
 rnd/autogpt_builder/.env.example              |   1 +
 rnd/autogpt_builder/package.json              |  11 +-
 rnd/autogpt_builder/src/app/page.tsx          | 123 +---
 .../src/components/CustomNode.tsx             | 115 ++++
 rnd/autogpt_builder/src/components/Flow.tsx   | 590 ++++++++++++++++++
 rnd/autogpt_builder/src/components/flow.css   | 150 +++++
 6 files changed, 896 insertions(+), 94 deletions(-)
 create mode 100644 rnd/autogpt_builder/.env.example
 create mode 100644 rnd/autogpt_builder/src/components/CustomNode.tsx
 create mode 100644 rnd/autogpt_builder/src/components/Flow.tsx
 create mode 100644 rnd/autogpt_builder/src/components/flow.css

diff --git a/rnd/autogpt_builder/.env.example b/rnd/autogpt_builder/.env.example
new file mode 100644
index 000000000000..a70a8847a25b
--- /dev/null
+++ b/rnd/autogpt_builder/.env.example
@@ -0,0 +1 @@
+AGPT_SERVER_URL=http://localhost:8000
\ No newline at end of file
diff --git a/rnd/autogpt_builder/package.json b/rnd/autogpt_builder/package.json
index 67b793bbadc6..941e6ca669c7 100644
--- a/rnd/autogpt_builder/package.json
+++ b/rnd/autogpt_builder/package.json
@@ -9,18 +9,21 @@
     "lint": "next lint"
   },
   "dependencies": {
+    "next": "14.2.4",
     "react": "^18",
     "react-dom": "^18",
-    "next": "14.2.4"
+    "react-modal": "^3.16.1",
+    "reactflow": "^11.11.4"
   },
   "devDependencies": {
-    "typescript": "^5",
     "@types/node": "^20",
     "@types/react": "^18",
     "@types/react-dom": "^18",
+    "@types/react-modal": "^3.16.3",
+    "eslint": "^8",
+    "eslint-config-next": "14.2.4",
     "postcss": "^8",
     "tailwindcss": "^3.4.1",
-    "eslint": "^8",
-    "eslint-config-next": "14.2.4"
+    "typescript": "^5"
   }
 }
diff --git a/rnd/autogpt_builder/src/app/page.tsx b/rnd/autogpt_builder/src/app/page.tsx
index 916ce244e8f8..63cefb866fc9 100644
--- a/rnd/autogpt_builder/src/app/page.tsx
+++ b/rnd/autogpt_builder/src/app/page.tsx
@@ -1,97 +1,40 @@
 import Image from "next/image";
+import Flow from '../components/Flow';
 
 export default function Home() {
   return (
-    <main className="flex min-h-screen flex-col items-center justify-between p-24">
-      <div className="z-10 w-full max-w-5xl items-center justify-between font-mono text-sm lg:flex">
-        <p className="fixed left-0 top-0 flex w-full justify-center border-b border-gray-300 bg-gradient-to-b from-zinc-200 pb-6 pt-8 backdrop-blur-2xl dark:border-neutral-800 dark:bg-zinc-800/30 dark:from-inherit lg:static lg:w-auto  lg:rounded-xl lg:border lg:bg-gray-200 lg:p-4 lg:dark:bg-zinc-800/30">
-          Get started by adding a&nbsp;
-          <code className="font-mono font-bold">node</code>
-        </p>
-        <div className="fixed bottom-0 left-0 flex h-48 w-full items-end justify-center bg-gradient-to-t from-white via-white dark:from-black dark:via-black lg:static lg:size-auto lg:bg-none">
-          <a
-            className="pointer-events-none flex place-items-center gap-2 p-8 lg:pointer-events-auto lg:p-0"
-            href="https://news.agpt.co/"
-            target="_blank"
-            rel="noopener noreferrer"
-          >
-            By{" "}
-            <Image
-              src="/autogpt.svg"
-              alt="AutoGPT Logo"
-              className="dark:invert"
-              width={100}
-              height={24}
-              priority
-            />
-          </a>
-        </div>
-      </div>
+      <main className="flex min-h-screen flex-col items-center justify-between p-24">
+          <div className="z-10 w-full max-w-5xl items-center justify-between font-mono text-sm lg:flex">
+              <p className="fixed left-0 top-0 flex w-full justify-center border-b border-gray-300 bg-gradient-to-b from-zinc-200 pb-6 pt-8 backdrop-blur-2xl dark:border-neutral-800 dark:bg-zinc-800/30 dark:from-inherit lg:static lg:w-auto  lg:rounded-xl lg:border lg:bg-gray-200 lg:p-4 lg:dark:bg-zinc-800/30">
+                  Get started by adding a&nbsp;
+                  <code className="font-mono font-bold">node</code>
+              </p>
+              <div
+                  className="fixed bottom-0 left-0 flex h-48 w-full items-end justify-center bg-gradient-to-t from-white via-white dark:from-black dark:via-black lg:static lg:size-auto lg:bg-none">
+                  <a
+                      className="pointer-events-none flex place-items-center gap-2 p-8 lg:pointer-events-auto lg:p-0"
+                      href="https://news.agpt.co/"
+                      target="_blank"
+                      rel="noopener noreferrer"
+                  >
+                      By{" "}
+                      <Image
+                          src="/autogpt.svg"
+                          alt="AutoGPT Logo"
+                          className="dark:invert"
+                          width={100}
+                          height={24}
+                          priority
+                      />
+                  </a>
+              </div>
+          </div>
 
-      <div className="relative z-[-1] flex place-items-center before:absolute before:h-[300px] before:w-full before:-translate-x-1/2 before:rounded-full before:bg-gradient-radial before:from-white before:to-transparent before:blur-2xl before:content-[''] after:absolute after:-z-20 after:h-[180px] after:w-full after:translate-x-1/3 after:bg-gradient-conic after:from-sky-200 after:via-blue-200 after:blur-2xl after:content-[''] before:dark:bg-gradient-to-br before:dark:from-transparent before:dark:to-blue-700 before:dark:opacity-10 after:dark:from-sky-900 after:dark:via-[#0141ff] after:dark:opacity-40 sm:before:w-[480px] sm:after:w-[240px] before:lg:h-[360px]">
-        <Image
-          className="relative dark:drop-shadow-[0_0_0.3rem_#ffffff70] dark:invert"
-          src="/autogpt.svg"
-          alt="AutoGPT Logo"
-          width={180}
-          height={37}
-          priority
-        />
-      </div>
-
-      <div className="mb-32 w-full flex place-items-center max-w-5xl grid grid-cols-1 md:grid-cols-3 gap-4 text-center lg:mb-0 lg:text-left">
-        <a
-          href="https://docs.agpt.co/"
-          className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
-          target="_blank"
-          rel="noopener noreferrer"
-        >
-          <h2 className="mb-3 text-2xl font-semibold">
-            Docs{" "}
-            <span className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
-              -&gt;
-            </span>
-          </h2>
-          <p className="m-0 max-w-[30ch] text-sm opacity-50">
-            Find all the information about AutoGPT&apos;s features.
-          </p>
-        </a>
-
-
-        <a
-          href=""
-          className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
-          target="_blank"
-          rel="noopener noreferrer"
-        >
-          <h2 className="mb-3 text-2xl font-semibold">
-            Runner{" "}
-            <span className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
-              -&gt;
-            </span>
-          </h2>
-          <p className="m-0 max-w-[30ch] text-sm opacity-50">
-            Run your agent!
-          </p>
-        </a>
-
-        <a
-          href=""
-          className="group rounded-lg border border-transparent px-5 py-4 transition-colors hover:border-gray-300 hover:bg-gray-100 hover:dark:border-neutral-700 hover:dark:bg-neutral-800/30"
-          target="_blank"
-          rel="noopener noreferrer"
-        >
-          <h2 className="mb-3 text-2xl font-semibold">
-            Deploy{" "}
-            <span className="inline-block transition-transform group-hover:translate-x-1 motion-reduce:transform-none">
-              -&gt;
-            </span>
-          </h2>
-          <p className="m-0 max-w-[30ch] text-balance text-sm opacity-50">
-            Deploy your agent!
-          </p>
-        </a>
-      </div>
-    </main>
+          <div className="w-full flex justify-center mt-10">
+              <div className="flow-container w-full h-full">
+                  <Flow/>
+              </div>
+          </div>
+      </main>
   );
 }
diff --git a/rnd/autogpt_builder/src/components/CustomNode.tsx b/rnd/autogpt_builder/src/components/CustomNode.tsx
new file mode 100644
index 000000000000..522cd7863549
--- /dev/null
+++ b/rnd/autogpt_builder/src/components/CustomNode.tsx
@@ -0,0 +1,115 @@
+import React, { useState, useEffect, FC, memo } from 'react';
+import { Handle, Position, NodeProps } from 'reactflow';
+import 'reactflow/dist/style.css';
+
+type Schema = {
+  properties: { [key: string]: any };
+};
+
+const CustomNode: FC<NodeProps> = ({ data }) => {
+  const [isPropertiesOpen, setIsPropertiesOpen] = useState(data.isPropertiesOpen || false);
+
+  // Automatically open properties when output_data or status is updated
+  useEffect(() => {
+    if (data.output_data || data.status) {
+      setIsPropertiesOpen(true);
+    }
+  }, [data.output_data, data.status]);
+
+  const toggleProperties = () => {
+    setIsPropertiesOpen(!isPropertiesOpen);
+  };
+
+  const generateHandles = (schema: Schema, type: 'source' | 'target') => {
+    if (!schema?.properties) return null;
+    const keys = Object.keys(schema.properties);
+    return keys.map((key) => (
+      <div key={key} style={{ display: 'flex', alignItems: 'center', position: 'relative', marginBottom: '5px' }}>
+        {type === 'target' && (
+          <>
+            <Handle
+              type={type}
+              position={Position.Left}
+              id={key}
+              style={{ background: '#555', borderRadius: '50%' }}
+            />
+            <span style={{ color: '#e0e0e0', marginLeft: '10px' }}>{key}</span>
+          </>
+        )}
+        {type === 'source' && (
+          <>
+            <span style={{ color: '#e0e0e0', marginRight: '10px' }}>{key}</span>
+            <Handle
+              type={type}
+              position={Position.Right}
+              id={key}
+              style={{ background: '#555', borderRadius: '50%' }}
+            />
+          </>
+        )}
+      </div>
+    ));
+  };
+
+  const handleInputChange = (key: string, value: any) => {
+    const newValues = { ...data.hardcodedValues, [key]: value };
+    data.setHardcodedValues(newValues);
+  };
+
+  const isHandleConnected = (key: string) => {
+    return data.connections.some((conn: string) => {
+      const [, target] = conn.split(' -> ');
+      return target.includes(key) && target.includes(data.title);
+    });
+  };
+
+  const hasDisconnectedHandle = (key: string) => {
+    return !isHandleConnected(key);
+  };
+
+  return (
+    <div style={{ padding: '20px', border: '2px solid #fff', borderRadius: '20px', background: '#333', color: '#e0e0e0', width: '250px' }}>
+      <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: '10px' }}>
+        <div style={{ fontSize: '18px', fontWeight: 'bold' }}>
+          {data?.title.replace(/\d+/g, '')}
+        </div>
+        <button
+          onClick={toggleProperties}
+          style={{ background: 'transparent', border: 'none', cursor: 'pointer', color: '#e0e0e0' }}
+        >
+          &#9776;
+        </button>
+      </div>
+      <div style={{ display: 'flex', flexDirection: 'row', justifyContent: 'space-between', gap: '20px' }}>
+        <div>
+          {data.inputSchema && generateHandles(data.inputSchema, 'target')}
+          {data.inputSchema && Object.keys(data.inputSchema.properties).map(key => (
+            hasDisconnectedHandle(key) && (
+              <div key={key} style={{ marginBottom: '5px' }}>
+                <input
+                  type="text"
+                  placeholder={`Enter ${key}`}
+                  value={data.hardcodedValues[key] || ''}
+                  onChange={(e) => handleInputChange(key, e.target.value)}
+                  style={{ width: '100%', padding: '5px', borderRadius: '4px', border: '1px solid #555', background: '#444', color: '#e0e0e0' }}
+                />
+              </div>
+            )
+          ))}
+        </div>
+        <div>
+          {data.outputSchema && generateHandles(data.outputSchema, 'source')}
+        </div>
+      </div>
+      {isPropertiesOpen && (
+        <div style={{ marginTop: '10px', background: '#444', padding: '10px', borderRadius: '10px' }}>
+          <h4>Node Output</h4>
+          <p><strong>Status:</strong> {typeof data.status === 'object' ? JSON.stringify(data.status) : data.status || 'N/A'}</p>
+          <p><strong>Output Data:</strong> {typeof data.output_data === 'object' ? JSON.stringify(data.output_data) : data.output_data || 'N/A'}</p>
+        </div>
+      )}
+    </div>
+  );
+};
+
+export default memo(CustomNode);
diff --git a/rnd/autogpt_builder/src/components/Flow.tsx b/rnd/autogpt_builder/src/components/Flow.tsx
new file mode 100644
index 000000000000..8a0191b3b11e
--- /dev/null
+++ b/rnd/autogpt_builder/src/components/Flow.tsx
@@ -0,0 +1,590 @@
+"use client";
+
+import React, { useState, useCallback, useEffect } from 'react';
+import ReactFlow, {
+  addEdge,
+  applyNodeChanges,
+  applyEdgeChanges,
+  Node,
+  Edge,
+  OnNodesChange,
+  OnEdgesChange,
+  OnConnect,
+  NodeTypes,
+  EdgeRemoveChange,
+} from 'reactflow';
+import 'reactflow/dist/style.css';
+import Modal from 'react-modal';
+import CustomNode from './CustomNode';
+import './flow.css';
+
+const initialNodes: Node[] = [];
+const initialEdges: Edge[] = [];
+const nodeTypes: NodeTypes = {
+  custom: CustomNode,
+};
+
+interface AvailableNode {
+  id: string;
+  name: string;
+  description: string;
+  inputSchema?: { properties: { [key: string]: any }; required?: string[] };
+  outputSchema?: { properties: { [key: string]: any } };
+}
+
+interface ExecData {
+  node_id: string;
+  status: string;
+  output_data: any;
+}
+
+const Flow: React.FC = () => {
+  const [nodes, setNodes] = useState<Node[]>(initialNodes);
+  const [edges, setEdges] = useState<Edge[]>(initialEdges);
+  const [nodeId, setNodeId] = useState<number>(1);
+  const [modalIsOpen, setModalIsOpen] = useState<boolean>(false);
+  const [selectedNode, setSelectedNode] = useState<Node | null>(null);
+  const [title, setTitle] = useState<string>('');
+  const [description, setDescription] = useState<string>('');
+  const [variableName, setVariableName] = useState<string>('');
+  const [variableValue, setVariableValue] = useState<string>('');
+  const [printVariable, setPrintVariable] = useState<string>('');
+  const [isSidebarOpen, setIsSidebarOpen] = useState<boolean>(false);
+  const [searchQuery, setSearchQuery] = useState<string>('');
+  const [availableNodes, setAvailableNodes] = useState<AvailableNode[]>([]);
+  const [loadingStatus, setLoadingStatus] = useState<'loading' | 'failed' | 'loaded'>('loading');
+  const [agentId, setAgentId] = useState<string | null>(null);
+
+  const apiUrl = 'http://localhost:8000'
+
+  useEffect(() => {
+    fetch(`${apiUrl}/blocks`)
+      .then(response => {
+        if (!response.ok) {
+          throw new Error(`HTTP error! Status: ${response.status}`);
+        }
+        return response.json();
+      })
+      .then(data => {
+        setAvailableNodes(data.map((node: AvailableNode) => ({
+          ...node,
+          description: typeof node.description === 'object' ? JSON.stringify(node.description) : node.description,
+        })));
+        setLoadingStatus('loaded');
+      })
+      .catch(error => {
+        console.error('Error fetching nodes:', error);
+        setLoadingStatus('failed');
+      });
+  }, []);
+
+  const onNodesChange: OnNodesChange = useCallback(
+    (changes) => setNodes((nds) => applyNodeChanges(changes, nds).map(node => ({
+      ...node,
+      data: {
+        ...node.data,
+        metadata: {
+          ...node.data.metadata,
+          position: node.position
+        }
+      }
+    }))),
+    []
+  );
+
+  const onEdgesChange: OnEdgesChange = useCallback(
+    (changes) => {
+      const removedEdges = changes.filter((change): change is EdgeRemoveChange => change.type === 'remove');
+      setEdges((eds) => applyEdgeChanges(changes, eds));
+
+      if (removedEdges.length > 0) {
+        setNodes((nds) =>
+          nds.map((node) => {
+            const updatedConnections = node.data.connections.filter(
+              (conn: string) =>
+                !removedEdges.some((edge) => edge.id && conn.includes(edge.id))
+            );
+            return { ...node, data: { ...node.data, connections: updatedConnections } };
+          })
+        );
+      }
+    },
+    []
+  );
+
+  const onConnect: OnConnect = useCallback(
+    (connection) => {
+      setEdges((eds) => addEdge(connection, eds));
+      setNodes((nds) =>
+        nds.map((node) => {
+          if (node.id === connection.source) {
+            const connections = node.data.connections || [];
+            connections.push(`${node.data.title} ${connection.sourceHandle} -> ${connection.targetHandle}`);
+            return { ...node, data: { ...node.data, connections } };
+          }
+          if (node.id === connection.target) {
+            const connections = node.data.connections || [];
+            connections.push(`${connection.sourceHandle} -> ${node.data.title} ${connection.targetHandle}`);
+            return { ...node, data: { ...node.data, connections } };
+          }
+          return node;
+        })
+      );
+    },
+    [setEdges, setNodes]
+  );
+
+  const addNode = (type: string, label: string, description: string) => {
+    const nodeSchema = availableNodes.find(node => node.name === label);
+    const position = { x: Math.random() * 400, y: Math.random() * 400 };
+
+    const newNode: Node = {
+      id: nodeId.toString(),
+      type: 'custom',
+      data: {
+        label: label,
+        title: `${type} ${nodeId}`,
+        description: `${description}`,
+        inputSchema: nodeSchema?.inputSchema,
+        outputSchema: nodeSchema?.outputSchema,
+        connections: [],
+        variableName: '',
+        variableValue: '',
+        printVariable: '',
+        setVariableName,
+        setVariableValue,
+        setPrintVariable,
+        hardcodedValues: {},
+        setHardcodedValues: (values: { [key: string]: any }) => {
+          setNodes((nds) => nds.map((node) =>
+            node.id === nodeId.toString()
+              ? { ...node, data: { ...node.data, hardcodedValues: values } }
+              : node
+          ));
+        },
+        block_id: nodeSchema?.id || '',
+        metadata: {
+          position // Store position in metadata
+        }
+      },
+      position,
+    };
+    setNodes((nds) => [...nds, newNode]);
+    setNodeId((id) => id + 1);
+  };
+
+  const closeModal = () => {
+    setModalIsOpen(false);
+    setSelectedNode(null);
+  };
+
+  const saveNodeData = () => {
+    if (selectedNode) {
+      setNodes((nds) =>
+        nds.map((node) =>
+          node.id === selectedNode.id
+            ? {
+                ...node,
+                data: {
+                  ...node.data,
+                  title,
+                  description,
+                  label: title,
+                  variableName,
+                  variableValue: typeof variableValue === 'object' ? JSON.stringify(variableValue) : variableValue,
+                  printVariable: typeof printVariable === 'object' ? JSON.stringify(printVariable) : printVariable,
+                },
+              }
+            : node
+        )
+      );
+      closeModal();
+    }
+  };
+
+  const toggleSidebar = () => {
+    setIsSidebarOpen(!isSidebarOpen);
+  };
+
+  const filteredNodes = availableNodes.filter(node => node.name.toLowerCase().includes(searchQuery.toLowerCase()));
+
+  const prepareNodeInputData = (node: Node, allNodes: Node[], allEdges: Edge[]) => {
+    const nodeSchema = availableNodes.find(n => n.id === node.data.block_id);
+    if (!nodeSchema || !nodeSchema.inputSchema) return {};
+
+    let inputData: { [key: string]: any } = {};
+    const inputProperties = nodeSchema.inputSchema.properties;
+    const requiredProperties = nodeSchema.inputSchema.required || [];
+
+    // Initialize inputData with default values for all required properties
+    requiredProperties.forEach(prop => {
+      inputData[prop] = node.data.hardcodedValues[prop] || '';
+    });
+
+    Object.keys(inputProperties).forEach(prop => {
+      const inputEdge = allEdges.find(edge => edge.target === node.id && edge.targetHandle === prop);
+      if (inputEdge) {
+        const sourceNode = allNodes.find(n => n.id === inputEdge.source);
+        inputData[prop] = sourceNode?.data.output_data || sourceNode?.data.hardcodedValues[prop] || '';
+      } else if (node.data.hardcodedValues && node.data.hardcodedValues[prop]) {
+        inputData[prop] = node.data.hardcodedValues[prop];
+      }
+    });
+
+    return inputData;
+  };
+
+  const updateNodeData = (execData: ExecData) => {
+    setNodes((nds) =>
+      nds.map((node) => {
+        if (node.id === execData.node_id) {
+          return {
+            ...node,
+            data: {
+              ...node.data,
+              status: execData.status,
+              output_data: execData.output_data,
+              isPropertiesOpen: true, // Open the properties
+            },
+          };
+        }
+        return node;
+      })
+    );
+  };
+
+  const runAgent = async () => {
+    try {
+      const formattedNodes = nodes.map(node => ({
+        id: node.id,
+        block_id: node.data.block_id,
+        input_default: prepareNodeInputData(node, nodes, edges),
+        input_nodes: edges.filter(edge => edge.target === node.id).reduce((acc, edge) => {
+          if (edge.targetHandle) {
+            acc[edge.targetHandle] = edge.source;
+          }
+          return acc;
+        }, {} as { [key: string]: string }),
+        output_nodes: edges.filter(edge => edge.source === node.id).reduce((acc, edge) => {
+          if (edge.sourceHandle) {
+            acc[edge.sourceHandle] = edge.target;
+          }
+          return acc;
+        }, {} as { [key: string]: string }),
+        metadata: node.data.metadata,
+        connections: node.data.connections // Ensure connections are preserved
+      }));
+
+      const payload = {
+        id: '',
+        name: 'Agent Name',
+        description: 'Agent Description',
+        nodes: formattedNodes,
+      };
+
+      const createResponse = await fetch(`${apiUrl}/agents`, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify(payload),
+      });
+
+      if (!createResponse.ok) {
+        throw new Error(`HTTP error! Status: ${createResponse.status}`);
+      }
+
+      const createData = await createResponse.json();
+      const agentId = createData.id;
+      setAgentId(agentId);
+
+      const responseNodes = createData.nodes.map((node: any) => {
+        const block = availableNodes.find(n => n.id === node.block_id);
+        const connections = edges.filter(edge => edge.source === node.id || edge.target === node.id).map(edge => ({
+          id: edge.id,
+          source: edge.source,
+          sourceHandle: edge.sourceHandle,
+          target: edge.target,
+          targetHandle: edge.targetHandle
+        }));
+        return {
+          id: node.id,
+          type: 'custom',
+          position: node.metadata.position,
+          data: {
+            label: block?.name || 'Unknown',
+            title: `${block?.name || 'Unknown'}`,
+            description: `${block?.description || ''}`,
+            inputSchema: block?.inputSchema,
+            outputSchema: block?.outputSchema,
+            connections: connections.map(c => `${c.source}-${c.sourceHandle} -> ${c.target}-${c.targetHandle}`),
+            variableName: '',
+            variableValue: '',
+            printVariable: '',
+            setVariableName,
+            setVariableValue,
+            setPrintVariable,
+            hardcodedValues: node.input_default,
+            setHardcodedValues: (values: { [key: string]: any }) => {
+              setNodes((nds) => nds.map((n) =>
+                n.id === node.id
+                  ? { ...n, data: { ...n.data, hardcodedValues: values } }
+                  : n
+              ));
+            },
+            block_id: node.block_id,
+            metadata: node.metadata
+          },
+        };
+      });
+
+      const newEdges = createData.nodes.flatMap((node: any) => {
+        return Object.entries(node.output_nodes).map(([sourceHandle, targetNodeId]) => ({
+          id: `${node.id}-${sourceHandle}-${targetNodeId}`,
+          source: node.id,
+          sourceHandle: sourceHandle,
+          target: targetNodeId,
+          targetHandle: Object.keys(node.input_nodes).find(key => node.input_nodes[key] === targetNodeId) || '',
+        }));
+      });
+
+      setNodes(responseNodes);
+      setEdges(newEdges);
+
+      const initialNodeInput = nodes.reduce((acc, node) => {
+        acc[node.id] = prepareNodeInputData(node, nodes, edges);
+        return acc;
+      }, {} as { [key: string]: any });
+
+      const nodeInputForExecution = Object.keys(initialNodeInput).reduce((acc, key) => {
+        const blockId = nodes.find(node => node.id === key)?.data.block_id;
+        const nodeSchema = availableNodes.find(n => n.id === blockId);
+        if (nodeSchema && nodeSchema.inputSchema) {
+          Object.keys(nodeSchema.inputSchema.properties).forEach(prop => {
+            acc[prop] = initialNodeInput[key][prop];
+          });
+        }
+        return acc;
+      }, {} as { [key: string]: any });
+
+      const executeResponse = await fetch(`${apiUrl}/agents/${agentId}/execute`, {
+        method: 'POST',
+        headers: {
+          'Content-Type': 'application/json',
+        },
+        body: JSON.stringify(nodeInputForExecution),
+      });
+
+      if (!executeResponse.ok) {
+        throw new Error(`HTTP error! Status: ${executeResponse.status}`);
+      }
+
+      const executeData = await executeResponse.json();
+      const runId = executeData.run_id;
+
+      const startPolling = () => {
+        const endTime = Date.now() + 60000;
+
+        const poll = async () => {
+          if (Date.now() >= endTime) {
+            console.log('Polling timeout reached.');
+            return;
+          }
+
+          try {
+            const response = await fetch(`${apiUrl}/agents/${agentId}/executions/${runId}`);
+            if (!response.ok) {
+              throw new Error(`HTTP error! Status: ${response.status}`);
+            }
+
+            const data = await response.json();
+            data.forEach(updateNodeData);
+
+            const allCompleted = data.every((exec: any) => exec.status === 'COMPLETED');
+            if (allCompleted) {
+              console.log('All nodes are completed.');
+              return;
+            }
+
+            setTimeout(poll, 100);
+          } catch (error) {
+            console.error('Error during polling:', error);
+            setTimeout(poll, 100);
+          }
+        };
+
+        poll();
+      };
+
+      startPolling();
+    } catch (error) {
+      console.error('Error running agent:', error);
+    }
+  };
+
+  return (
+    <div className="flow-container">
+      <div className={`flow-controls ${isSidebarOpen ? 'open' : ''}`}>
+        <button className="nodes-button" onClick={toggleSidebar}>
+          Nodes
+        </button>
+        <button className="run-button" onClick={runAgent}>
+          Run
+        </button>
+        {agentId && (
+          <span style={{ marginLeft: '10px', color: '#fff', fontSize: '16px' }}>
+            Agent ID: {agentId}
+          </span>
+        )}
+      </div>
+      <div className="flow-wrapper">
+        <ReactFlow
+          nodes={nodes}
+          edges={edges}
+          nodeTypes={nodeTypes}
+          onNodesChange={onNodesChange}
+          onEdgesChange={onEdgesChange}
+          onConnect={onConnect}
+          fitView
+        />
+      </div>
+      {selectedNode && (
+        <Modal isOpen={modalIsOpen} onRequestClose={closeModal} contentLabel="Node Info" className="modal" overlayClassName="overlay">
+          <h2>Edit Node</h2>
+          <form
+            onSubmit={(e) => {
+              e.preventDefault();
+              saveNodeData();
+            }}
+          >
+            <div>
+              <label>
+                Title:
+                <input
+                  type="text"
+                  value={title}
+                  onChange={(e) => setTitle(e.target.value)}
+                  required
+                />
+              </label>
+            </div>
+            <div>
+              <label>
+                Description:
+                <textarea
+                  value={description}
+                  onChange={(e) => setDescription(e.target.value)}
+                  required
+                />
+              </label>
+            </div>
+            {selectedNode.data.title.includes('Variable') && (
+              <>
+                <div>
+                  <label>
+                    Variable Name:
+                    <input
+                      type="text"
+                      value={variableName}
+                      onChange={(e) => setVariableName(e.target.value)}
+                      required
+                    />
+                  </label>
+                </div>
+                <div>
+                  <label>
+                    Variable Value:
+                    <input
+                      type="text"
+                      value={variableValue}
+                      onChange={(e) => setVariableValue(e.target.value)}
+                      required
+                    />
+                  </label>
+                </div>
+              </>
+            )}
+            {selectedNode.data.title.includes('Print') && (
+              <>
+                <div>
+                  <label>
+                    Variable to Print:
+                    <input
+                      type="text"
+                      value={printVariable}
+                      onChange={(e) => setPrintVariable(e.target.value)}
+                      required
+                    />
+                  </label>
+                </div>
+              </>
+            )}
+            <button type="submit">Save</button>
+            <button type="button" onClick={closeModal}>
+              Cancel
+            </button>
+          </form>
+        </Modal>
+      )}
+      <div className={`sidebar ${isSidebarOpen ? 'open' : ''}`}>
+        <h3 style={{ margin: '0 0 10px 0' }}>Nodes</h3>
+        <input
+          type="text"
+          placeholder="Search nodes..."
+          value={searchQuery}
+          onChange={(e) => setSearchQuery(e.target.value)}
+          style={{
+            padding: '10px',
+            fontSize: '16px',
+            backgroundColor: '#333',
+            color: '#e0e0e0',
+            border: '1px solid #555',
+            borderRadius: '4px',
+            marginBottom: '10px',
+            width: 'calc(100% - 22px)',
+            boxSizing: 'border-box',
+          }}
+        />
+        <div style={{ display: 'flex', flexDirection: 'column', gap: '10px' }}>
+          {loadingStatus === 'loading' && <p>Loading...</p>}
+          {loadingStatus === 'failed' && <p>Failed To Load Nodes</p>}
+          {loadingStatus === 'loaded' && filteredNodes.map(node => (
+            <div key={node.id} style={sidebarNodeRowStyle}>
+              <div>
+                <strong>{node.name}</strong>
+                <p>{node.description}</p>
+              </div>
+              <button
+                onClick={() => addNode(node.name, node.name, node.description)}
+                style={sidebarButtonStyle}
+              >
+                Add
+              </button>
+            </div>
+          ))}
+        </div>
+      </div>
+    </div>
+  );
+};
+
+const sidebarNodeRowStyle = {
+  display: 'flex',
+  justifyContent: 'space-between',
+  alignItems: 'center',
+  backgroundColor: '#444',
+  padding: '10px',
+  borderRadius: '4px',
+};
+
+const sidebarButtonStyle = {
+  padding: '10px 20px',
+  fontSize: '16px',
+  backgroundColor: '#007bff',
+  color: '#fff',
+  border: 'none',
+  borderRadius: '4px',
+  cursor: 'pointer',
+};
+
+export default Flow;
diff --git a/rnd/autogpt_builder/src/components/flow.css b/rnd/autogpt_builder/src/components/flow.css
new file mode 100644
index 000000000000..3ceeff6e3397
--- /dev/null
+++ b/rnd/autogpt_builder/src/components/flow.css
@@ -0,0 +1,150 @@
+/* flow.css or index.css */
+
+body {
+  margin: 0;
+  font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',
+    'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',
+    sans-serif;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  background-color: #121212;
+  color: #e0e0e0;
+}
+
+code {
+  font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',
+    monospace;
+}
+
+button {
+  background-color: #444;
+  color: #e0e0e0;
+  padding: 10px;
+  border: none;
+  border-radius: 4px;
+  cursor: pointer;
+  transition: background-color 0.3s ease;
+}
+
+button:hover {
+  background-color: #666;
+}
+
+input, textarea {
+  background-color: #333;
+  color: #e0e0e0;
+  border: 1px solid #555;
+  padding: 8px;
+  border-radius: 4px;
+  width: calc(100% - 18px);
+  box-sizing: border-box;
+  margin-top: 5px;
+}
+
+input::placeholder, textarea::placeholder {
+  color: #aaa;
+}
+
+.modal {
+  position: absolute;
+  top: 50%;
+  left: 50%;
+  right: auto;
+  bottom: auto;
+  margin-right: -50%;
+  transform: translate(-50%, -50%);
+  background: #333;
+  padding: 20px;
+  border: 1px solid #ccc;
+  border-radius: 4px;
+  color: #e0e0e0;
+}
+
+.overlay {
+  position: fixed;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background-color: rgba(0, 0, 0, 0.75);
+}
+
+.modal h2 {
+  margin-top: 0;
+}
+
+.modal button {
+  margin-right: 10px;
+}
+
+.modal form {
+  display: flex;
+  flex-direction: column;
+}
+
+.modal form div {
+  margin-bottom: 15px;
+}
+
+.sidebar {
+  position: fixed;
+  top: 0;
+  left: -600px;
+  width: 350px;
+  height: 100%;
+  background-color: #333;
+  color: #fff;
+  padding: 20px;
+  transition: left 0.3s ease;
+  z-index: 1000;
+  overflow-y: auto;
+}
+
+.sidebar.open {
+  left: 0;
+}
+
+.sidebar h3 {
+  margin: 0 0 20px;
+}
+
+.sidebarNodeRowStyle {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  background-color: #444;
+  padding: 10px;
+  border-radius: 4px;
+  cursor: grab;
+}
+
+.sidebarNodeRowStyle.dragging {
+  opacity: 0.5;
+}
+
+.flow-container {
+  width: 100%;
+  height: 600px; /* Adjust this height as needed */
+  position: relative;
+}
+
+.flow-wrapper {
+  height: 100%;
+  width: 100%;
+  display: flex;
+  justify-content: center;
+  align-items: center;
+}
+
+.flow-controls {
+  position: absolute;
+  left: -80px;
+  z-index: 1001;
+  display: flex;
+  gap: 10px;
+  transition: transform 0.3s ease;
+}
+
+.flow-controls.open {
+  transform: translateX(350px);
+}

From 2bc22c545088ea0c92832a0a9bb7e7f4119c460f Mon Sep 17 00:00:00 2001
From: Zamil Majdy <zamil.majdy@agpt.co>
Date: Thu, 27 Jun 2024 18:51:34 +0400
Subject: [PATCH 09/23] feat(rnd): Add support for dynamic input as list for
 AgentServer Block (#7268)

On AgentServer, To create a Block like StringFormatterBlock or LllmCallBlock, we need some way to dynamically link input pins and aggregate them into a single list input. This will give a better experience for the user to construct an input and link it from the output of the other nodes. The scope of this change is adding support for that in the least intrusive way.

Proposal
To differentiate the input list name and its singular entry we are using the $_<index> prefix. For example:
For the input items: list[int], you can set a pin items with values like [1,2,3,4]. But you can also add input pins like items_$_0 or items_$_4 with values 1 or 2, which will be appended to the items input in alphabetical order.
The execution engine will guarantee to wait for the execution until all the input pin value is produced, so input pin with list input will produce fix-sized list.
---
 .../autogpt_server/data/block.py              | 17 +++++++------
 .../autogpt_server/data/execution.py          | 25 ++++++++++++++++++-
 .../autogpt_server/executor/manager.py        | 22 ++++++++++------
 .../test/executor/test_manager.py             | 23 +++++++++--------
 4 files changed, 61 insertions(+), 26 deletions(-)

diff --git a/rnd/autogpt_server/autogpt_server/data/block.py b/rnd/autogpt_server/autogpt_server/data/block.py
index d0f69fdc0e0b..61354d0a0498 100644
--- a/rnd/autogpt_server/autogpt_server/data/block.py
+++ b/rnd/autogpt_server/autogpt_server/data/block.py
@@ -94,6 +94,9 @@ def validate_field(self, field_name: str, data: BlockData) -> str | None:
     def get_fields(self) -> set[str]:
         return set(self.jsonschema["properties"].keys())
 
+    def get_required_fields(self) -> set[str]:
+        return set(self.jsonschema["required"])
+
 
 BlockOutput = Generator[tuple[str, Any], None, None]
 
@@ -190,12 +193,15 @@ def run(self, input_data: BlockData) -> BlockOutput:
         yield "output", input_data["input"]
 
 
-class TextCombinerBlock(Block):
+class TextFormatterBlock(Block):
     id: ClassVar[str] = "db7d8f02-2f44-4c55-ab7a-eae0941f0c30"  # type: ignore
     input_schema: ClassVar[BlockSchema] = BlockSchema(  # type: ignore
         {
-            "text1": "string",
-            "text2": "string",
+            "texts": {
+                "type": "array",
+                "items": {"type": "string"},
+                "minItems": 1,
+            },
             "format": "string",
         }
     )
@@ -206,10 +212,7 @@ class TextCombinerBlock(Block):
     )
 
     def run(self, input_data: BlockData) -> BlockOutput:
-        yield "combined_text", input_data["format"].format(
-            text1=input_data["text1"],
-            text2=input_data["text2"],
-        )
+        yield "combined_text", input_data["format"].format(texts=input_data["texts"])
 
 
 class PrintingBlock(Block):
diff --git a/rnd/autogpt_server/autogpt_server/data/execution.py b/rnd/autogpt_server/autogpt_server/data/execution.py
index 2fb6a7a03ea4..025267312163 100644
--- a/rnd/autogpt_server/autogpt_server/data/execution.py
+++ b/rnd/autogpt_server/autogpt_server/data/execution.py
@@ -236,4 +236,27 @@ async def get_node_execution_input(node_exec_id: str) -> dict[str, Any]:
     exec_input = json.loads(execution.AgentNode.constantInput)
     for input_data in execution.Input or []:
         exec_input[input_data.name] = json.loads(input_data.data)
-    return exec_input
+
+    return merge_execution_input(exec_input)
+
+
+SPLIT = "_$_"
+
+
+def merge_execution_input(data: dict[str, Any]) -> dict[str, Any]:
+    list_input = []
+    for key, value in data.items():
+        if SPLIT not in key:
+            continue
+
+        name, index = key.split(SPLIT)
+        if not index.isdigit():
+            list_input.append((name, value, 0))
+        else:
+            list_input.append((name, value, int(index)))
+
+    for name, value, _ in sorted(list_input, key=lambda x: x[2]):
+        data[name] = data.get(name, [])
+        data[name].append(value)
+
+    return data
diff --git a/rnd/autogpt_server/autogpt_server/executor/manager.py b/rnd/autogpt_server/autogpt_server/executor/manager.py
index 7ebb375694f7..2d323ee3dadc 100644
--- a/rnd/autogpt_server/autogpt_server/executor/manager.py
+++ b/rnd/autogpt_server/autogpt_server/executor/manager.py
@@ -6,8 +6,9 @@
 from autogpt_server.data import db
 from autogpt_server.data.block import Block, get_block
 from autogpt_server.data.execution import (
-    get_node_execution_input,
     create_graph_execution,
+    get_node_execution_input,
+    merge_execution_input,
     update_execution_status as execution_update,
     upsert_execution_output,
     upsert_execution_input,
@@ -77,9 +78,10 @@ def wait(f: Coroutine[T, Any, T]) -> T:
             ):
                 yield execution
     except Exception as e:
-        logger.exception(f"{prefix} failed with error: %s", e)
+        error_msg = f"{e.__class__.__name__}: {e}"
+        logger.exception(f"{prefix} failed with error. `%s`", error_msg)
         wait(execution_update(node_exec_id, ExecutionStatus.FAILED))
-        wait(upsert_execution_output(node_exec_id, "error", str(e)))
+        wait(upsert_execution_output(node_exec_id, "error", error_msg))
         raise e
 
 
@@ -151,13 +153,17 @@ async def validate_exec(node: Node, data: dict[str, Any]) -> tuple[bool, str]:
         A tuple of a boolean indicating if the data is valid, and a message if not.
         Return the executed block name if the data is valid.
     """
-    node_block: Block | None = await(get_block(node.block_id))
+    node_block: Block | None = await get_block(node.block_id)
     if not node_block:
         return False, f"Block for {node.block_id} not found."
 
-    input_fields = node_block.input_schema.get_fields()
-    if not input_fields.issubset(data):
-        return False, f"Input data missing: {input_fields - set(data)}"
+    input_fields_from_schema = node_block.input_schema.get_required_fields()
+    if not input_fields_from_schema.issubset(data):
+        return False, f"Input data missing: {input_fields_from_schema - set(data)}"
+
+    input_fields_from_nodes = {name for name, _ in node.input_nodes}
+    if not input_fields_from_nodes.issubset(data):
+        return False, f"Input data missing: {input_fields_from_nodes - set(data)}"
 
     if error := node_block.input_schema.validate_data(data):
         logger.error("Input value doesn't match schema: %s", error)
@@ -214,7 +220,7 @@ def add_execution(self, graph_id: str, data: dict[str, Any]) -> dict:
 
         # Currently, there is no constraint on the number of root nodes in the graph.
         for node in graph.starting_nodes:
-            input_data = {**node.input_default, **data}
+            input_data = merge_execution_input({**node.input_default, **data})
             valid, error = self.run_and_wait(validate_exec(node, input_data))
             if not valid:
                 raise Exception(error)
diff --git a/rnd/autogpt_server/test/executor/test_manager.py b/rnd/autogpt_server/test/executor/test_manager.py
index c521c5d98cbb..54d3c3d16b63 100644
--- a/rnd/autogpt_server/test/executor/test_manager.py
+++ b/rnd/autogpt_server/test/executor/test_manager.py
@@ -12,7 +12,7 @@ async def create_test_graph() -> graph.Graph:
     """
     ParrotBlock
                 \
-                 ---- TextCombinerBlock ---- PrintingBlock
+                 ---- TextFormatterBlock ---- PrintingBlock
                 /
     ParrotBlock
     """
@@ -20,13 +20,16 @@ async def create_test_graph() -> graph.Graph:
         graph.Node(block_id=block.ParrotBlock.id),
         graph.Node(block_id=block.ParrotBlock.id),
         graph.Node(
-            block_id=block.TextCombinerBlock.id,
-            input_default={"format": "{text1},{text2}"},
+            block_id=block.TextFormatterBlock.id,
+            input_default={
+                "format": "{texts[0]},{texts[1]},{texts[2]}",
+                "texts_$_3": "!!!",
+            },
         ),
         graph.Node(block_id=block.PrintingBlock.id),
     ]
-    nodes[0].connect(nodes[2], "output", "text1")
-    nodes[1].connect(nodes[2], "output", "text2")
+    nodes[0].connect(nodes[2], "output", "texts_$_1")
+    nodes[1].connect(nodes[2], "output", "texts_$_2")
     nodes[2].connect(nodes[3], "combined_text", "text")
 
     test_graph = graph.Graph(
@@ -85,14 +88,14 @@ async def is_execution_completed():
     assert exec.input_data == {"input": text}
     assert exec.node_id == test_graph.nodes[1].id
 
-    # Executing TextCombinerBlock
+    # Executing TextFormatterBlock
     exec = executions[2]
     assert exec.status == execution.ExecutionStatus.COMPLETED
     assert exec.graph_exec_id == graph_exec_id
-    assert exec.output_data == {"combined_text": ["Hello, World!,Hello, World!"]}
+    assert exec.output_data == {"combined_text": ["Hello, World!,Hello, World!,!!!"]}
     assert exec.input_data == {
-        "text1": "Hello, World!",
-        "text2": "Hello, World!",
+        "texts_$_1": "Hello, World!",
+        "texts_$_2": "Hello, World!",
     }
     assert exec.node_id == test_graph.nodes[2].id
 
@@ -101,7 +104,7 @@ async def is_execution_completed():
     assert exec.status == execution.ExecutionStatus.COMPLETED
     assert exec.graph_exec_id == graph_exec_id
     assert exec.output_data == {"status": ["printed"]}
-    assert exec.input_data == {"text": "Hello, World!,Hello, World!"}
+    assert exec.input_data == {"text": "Hello, World!,Hello, World!,!!!"}
     assert exec.node_id == test_graph.nodes[3].id
 
 

From 785a40ff9defd01be0b57fc797ec940627f00c46 Mon Sep 17 00:00:00 2001
From: Nicholas Tindle <nicholas.tindle@agpt.co>
Date: Thu, 27 Jun 2024 09:56:21 -0500
Subject: [PATCH 10/23] feat(server, autogpt): Add Example files and update
 build option (#7271)

---
 .github/workflows/autogpt-server-ci.yml       |   2 +-
 .gitignore                                    |   2 +
 assets/gpt_dark_RGB.png                       | Bin 0 -> 50111 bytes
 autogpt/poetry.lock                           | 137 +++++++++-------
 autogpt/pyproject.toml                        |   2 +-
 autogpt/setup.py                              |  53 ++++++-
 rnd/autogpt_server/.gitignore                 |   5 +-
 rnd/autogpt_server/autogpt_server/app.py      |  14 +-
 .../autogpt_server/server/server.py           |  51 +++++-
 .../autogpt_server/util/data.py               |  35 ++++
 .../autogpt_server/util/process.py            |   6 +-
 .../autogpt_server/util/settings.py           | 108 +++++++++++++
 rnd/autogpt_server/config.default.json        |   3 +
 rnd/autogpt_server/poetry.lock                | 149 +++++++++++-------
 rnd/autogpt_server/pyproject.toml             |   5 +-
 rnd/autogpt_server/secrets/.gitkeep           |   0
 rnd/autogpt_server/setup.py                   |  85 ++++++++--
 rnd/example_files/index.html                  |  19 +++
 18 files changed, 531 insertions(+), 145 deletions(-)
 create mode 100644 assets/gpt_dark_RGB.png
 create mode 100644 rnd/autogpt_server/autogpt_server/util/data.py
 create mode 100644 rnd/autogpt_server/autogpt_server/util/settings.py
 create mode 100644 rnd/autogpt_server/config.default.json
 create mode 100644 rnd/autogpt_server/secrets/.gitkeep
 create mode 100644 rnd/example_files/index.html

diff --git a/.github/workflows/autogpt-server-ci.yml b/.github/workflows/autogpt-server-ci.yml
index 6eabaa132bf7..6fb1d9c23984 100644
--- a/.github/workflows/autogpt-server-ci.yml
+++ b/.github/workflows/autogpt-server-ci.yml
@@ -265,4 +265,4 @@ jobs:
         uses: actions/upload-artifact@v4
         with:
           name: autogptserver-AppImage-${{ matrix.platform-os }}
-          path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/build/*.AppImage
+          path: /Users/runner/work/AutoGPT/AutoGPT/rnd/autogpt_server/dist/*.AppImage
diff --git a/.gitignore b/.gitignore
index d23d09da8ed0..d7a9964ec4c8 100644
--- a/.gitignore
+++ b/.gitignore
@@ -170,3 +170,5 @@ pri*
 # ignore
 ig*
 .github_access_token
+LICENSE.rtf
+rnd/autogpt_server/settings.py
diff --git a/assets/gpt_dark_RGB.png b/assets/gpt_dark_RGB.png
new file mode 100644
index 0000000000000000000000000000000000000000..e99d5ec6c9f85f4c957056ea6dc786669d7590b8
GIT binary patch
literal 50111
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diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock
index 141f559579f1..a535be48f235 100644
--- a/autogpt/poetry.lock
+++ b/autogpt/poetry.lock
@@ -359,7 +359,7 @@ watchdog = "4.0.0"
 webdriver-manager = "^4.0.1"
 
 [package.extras]
-benchmark = ["agbenchmark @ file:///home/reinier/code/agpt/AutoGPT/benchmark"]
+benchmark = ["agbenchmark @ file:///D:/AutoGPT/benchmark"]
 
 [package.source]
 type = "directory"
@@ -1131,67 +1131,33 @@ files = [
 ]
 
 [[package]]
-name = "cx-freeze"
-version = "7.0.0"
+name = "cx_Freeze"
+version = "7.1.1"
 description = "Create standalone executables from Python scripts"
 optional = false
 python-versions = ">=3.8"
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-]
+files = []
+develop = true
 
 [package.dependencies]
 cx-Logging = {version = ">=3.1", markers = "sys_platform == \"win32\""}
-filelock = {version = ">=3.11.0", markers = "sys_platform == \"linux\""}
+dmgbuild = {version = ">=1.6.1", markers = "sys_platform == \"darwin\""}
+filelock = {version = ">=3.12.3", markers = "sys_platform == \"linux\""}
 lief = {version = ">=0.12.0,<0.15.0", markers = "sys_platform == \"win32\""}
 patchelf = {version = ">=0.14", markers = "sys_platform == \"linux\" and (platform_machine == \"aarch64\" or platform_machine == \"armv7l\" or platform_machine == \"i686\" or platform_machine == \"ppc64le\" or platform_machine == \"s390x\" or platform_machine == \"x86_64\")"}
-setuptools = ">=62.6,<70"
+setuptools = ">=65.6.3,<71"
 wheel = ">=0.42.0,<=0.43.0"
 
 [package.extras]
-dev = ["bump-my-version (==0.20.1)", "cibuildwheel (==2.17.0)", "pre-commit (==3.7.0)"]
-doc = ["furo (==2024.1.29)", "myst-parser (==2.0.0)", "sphinx (==7.3.7)", "sphinx-new-tab-link (==0.4.0)", "sphinx-tabs (==3.4.5)"]
-test = ["coverage (==7.4.4)", "pluggy (==1.4.0)", "pytest (==8.1.1)", "pytest-cov (==5.0.0)", "pytest-datafiles (==3.0.0)", "pytest-mock (==3.14.0)", "pytest-timeout (==2.3.1)", "pytest-xdist[psutil] (==3.6.0)"]
+dev = ["bump-my-version (==0.24.0)", "cibuildwheel (==2.19.1)", "pre-commit (==3.5.0)", "pre-commit (==3.7.1)"]
+doc = ["furo (==2024.5.6)", "myst-parser (==3.0.1)", "sphinx (==7.3.7)", "sphinx-new-tab-link (==0.4.0)", "sphinx-tabs (==3.4.5)"]
+test = ["coverage (==7.5.4)", "pluggy (==1.5.0)", "pytest (==8.2.2)", "pytest-cov (==5.0.0)", "pytest-datafiles (==3.0.0)", "pytest-mock (==3.14.0)", "pytest-timeout (==2.3.1)", "pytest-xdist[psutil] (==3.6.1)"]
+
+[package.source]
+type = "git"
+url = "https://github.com/ntindle/cx_Freeze.git"
+reference = "main"
+resolved_reference = "876fe77c97db749b7b0aed93c12142a7226ee7e4"
 
 [[package]]
 name = "cx-logging"
@@ -1340,6 +1306,27 @@ files = [
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
 ]
 
+[[package]]
+name = "dmgbuild"
+version = "1.6.1"
+description = "macOS command line utility to build disk images"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "dmgbuild-1.6.1-py3-none-any.whl", hash = "sha256:45dba6af4a64872c6a91eb335ebeaf5e1f4f4f39c89fd77cf40e841bd1226166"},
+    {file = "dmgbuild-1.6.1.tar.gz", hash = "sha256:7ced2603d684e29c22b4cd507d1e15a1907e91b86259924b8cfe480d80553b43"},
+]
+
+[package.dependencies]
+ds-store = ">=1.1.0"
+mac-alias = ">=2.0.1"
+
+[package.extras]
+badge-icons = ["pyobjc-framework-Quartz (>=3.0.4)"]
+dev = ["pre-commit", "tox"]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-cov", "pytest-tldr"]
+
 [[package]]
 name = "docker"
 version = "7.0.0"
@@ -1361,6 +1348,25 @@ urllib3 = ">=1.26.0"
 ssh = ["paramiko (>=2.4.3)"]
 websockets = ["websocket-client (>=1.3.0)"]
 
+[[package]]
+name = "ds-store"
+version = "1.3.1"
+description = "Manipulate Finder .DS_Store files from Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ds_store-1.3.1-py3-none-any.whl", hash = "sha256:fbacbb0bd5193ab3e66e5a47fff63619f15e374ffbec8ae29744251a6c8f05b5"},
+    {file = "ds_store-1.3.1.tar.gz", hash = "sha256:c27d413caf13c19acb85d75da4752673f1f38267f9eb6ba81b3b5aa99c2d207c"},
+]
+
+[package.dependencies]
+mac-alias = ">=2.0.1"
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-cov", "pytest-tldr"]
+
 [[package]]
 name = "duckduckgo-search"
 version = "6.1.7"
@@ -3000,6 +3006,22 @@ html5 = ["html5lib"]
 htmlsoup = ["BeautifulSoup4"]
 source = ["Cython (>=3.0.7)"]
 
+[[package]]
+name = "mac-alias"
+version = "2.2.2"
+description = "Generate/parse Mac OS Alias records from Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mac_alias-2.2.2-py3-none-any.whl", hash = "sha256:504ab8ac546f35bbd75ad014d6ad977c426660aa721f2cd3acf3dc2f664141bd"},
+    {file = "mac_alias-2.2.2.tar.gz", hash = "sha256:c99c728eb512e955c11f1a6203a0ffa8883b26549e8afe68804031aa5da856b7"},
+]
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-cov", "pytest-tldr"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.3"
@@ -5429,19 +5451,18 @@ tornado = ["tornado (>=5)"]
 
 [[package]]
 name = "setuptools"
-version = "69.0.3"
+version = "70.1.1"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "setuptools-69.0.3-py3-none-any.whl", hash = "sha256:385eb4edd9c9d5c17540511303e39a147ce2fc04bc55289c322b9e5904fe2c05"},
-    {file = "setuptools-69.0.3.tar.gz", hash = "sha256:be1af57fc409f93647f2e8e4573a142ed38724b8cdd389706a867bb4efcf1e78"},
+    {file = "setuptools-70.1.1-py3-none-any.whl", hash = "sha256:a58a8fde0541dab0419750bcc521fbdf8585f6e5cb41909df3a472ef7b81ca95"},
+    {file = "setuptools-70.1.1.tar.gz", hash = "sha256:937a48c7cdb7a21eb53cd7f9b59e525503aa8abaf3584c730dc5f7a5bec3a650"},
 ]
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
-testing = ["build[virtualenv]", "filelock (>=3.4.0)", "flake8-2020", "ini2toml[lite] (>=0.9)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "pip (>=19.1)", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf", "pytest-ruff", "pytest-timeout", "pytest-xdist", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
-testing-integration = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "packaging (>=23.1)", "pytest", "pytest-enabler", "pytest-xdist", "tomli", "virtualenv (>=13.0.0)", "wheel"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier"]
+testing = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "importlib-metadata", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test", "mypy (==1.10.0)", "packaging (>=23.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.1)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-home (>=0.5)", "pytest-mypy", "pytest-perf", "pytest-ruff (>=0.3.2)", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel"]
 
 [[package]]
 name = "shellingham"
@@ -6978,4 +6999,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "a378031626ad6640c66c53d2b58266d7d464462b69f0b5b5b95c317bd20c6b79"
+content-hash = "0f198975b29b94700bd4b0179ebb285f4e12c2c5f408b0adb03916f06a064d15"
diff --git a/autogpt/pyproject.toml b/autogpt/pyproject.toml
index b5d08fb7b0b2..b78ad9e699f8 100644
--- a/autogpt/pyproject.toml
+++ b/autogpt/pyproject.toml
@@ -57,7 +57,7 @@ agbenchmark = { path = "../benchmark", optional = true }
 # agbenchmark = {git = "https://github.com/Significant-Gravitas/AutoGPT.git", subdirectory = "benchmark", optional = true}
 psycopg2-binary = "^2.9.9"
 multidict = "6.0.5"
-cx-freeze = "7.0.0"
+cx-freeze = { git = "https://github.com/ntindle/cx_Freeze.git", rev = "main", develop = true }
 
 [tool.poetry.extras]
 benchmark = ["agbenchmark"]
diff --git a/autogpt/setup.py b/autogpt/setup.py
index 5fa328f356b1..d254a1f261f1 100644
--- a/autogpt/setup.py
+++ b/autogpt/setup.py
@@ -1,7 +1,9 @@
+import platform
+from pathlib import Path
 from pkgutil import iter_modules
-from shutil import which
+from typing import Union
 
-from cx_Freeze import Executable, setup
+from cx_Freeze import Executable, setup  # type: ignore
 
 packages = [
     m.name
@@ -11,11 +13,47 @@
     and ("poetry" in m.module_finder.path)  # type: ignore
 ]
 
-icon = (
-    "../../assets/gpt_dark_RGB.icns"
-    if which("sips")
-    else "../../assets/gpt_dark_RGB.ico"
-)
+# set the icon based on the platform
+icon = "../../assets/gpt_dark_RGB.ico"
+if platform.system() == "Darwin":
+    icon = "../../assets/gpt_dark_RGB.icns"
+elif platform.system() == "Linux":
+    icon = "../../assets/gpt_dark_RGB.png"
+
+
+def txt_to_rtf(input_file: Union[str, Path], output_file: Union[str, Path]) -> None:
+    """
+    Convert a text file to RTF format.
+
+    Args:
+    input_file (Union[str, Path]): Path to the input text file.
+    output_file (Union[str, Path]): Path to the output RTF file.
+
+    Returns:
+    None
+    """
+    input_path = Path(input_file)
+    output_path = Path(output_file)
+
+    with input_path.open("r", encoding="utf-8") as txt_file:
+        content = txt_file.read()
+
+    # RTF header
+    rtf = r"{\rtf1\ansi\deff0 {\fonttbl {\f0 Times New Roman;}}\f0\fs24 "
+
+    # Replace newlines with RTF newline
+    rtf += content.replace("\n", "\\par ")
+
+    # Close RTF document
+    rtf += "}"
+
+    with output_path.open("w", encoding="utf-8") as rtf_file:
+        rtf_file.write(rtf)
+
+
+# Convert LICENSE to LICENSE.rtf
+license_file = "LICENSE.rtf"
+txt_to_rtf("../LICENSE", license_file)
 
 
 setup(
@@ -55,6 +93,7 @@
             "target_name": "AutoGPT",
             "add_to_path": True,
             "install_icon": "../assets/gpt_dark_RGB.ico",
+            "license_file": license_file,
         },
     },
 )
diff --git a/rnd/autogpt_server/.gitignore b/rnd/autogpt_server/.gitignore
index 26452b1c148f..7fd0341ba08e 100644
--- a/rnd/autogpt_server/.gitignore
+++ b/rnd/autogpt_server/.gitignore
@@ -1,3 +1,6 @@
 database.db
 database.db-journal
-build/
\ No newline at end of file
+build/
+config.json
+secrets/*
+!secrets/.gitkeep
\ No newline at end of file
diff --git a/rnd/autogpt_server/autogpt_server/app.py b/rnd/autogpt_server/autogpt_server/app.py
index 298852129648..debc2644857a 100644
--- a/rnd/autogpt_server/autogpt_server/app.py
+++ b/rnd/autogpt_server/autogpt_server/app.py
@@ -1,9 +1,17 @@
+from multiprocessing import freeze_support, set_start_method
 from autogpt_server.executor import ExecutionManager, ExecutionScheduler
 from autogpt_server.server import AgentServer
 from autogpt_server.util.process import AppProcess
 from autogpt_server.util.service import PyroNameServer
 
 
+def get_config_and_secrets():
+    from autogpt_server.util.settings import Settings
+
+    settings = Settings()
+    return settings
+
+
 def run_processes(processes: list[AppProcess], **kwargs):
     """
     Execute all processes in the app. The last process is run in the foreground.
@@ -19,10 +27,14 @@ def run_processes(processes: list[AppProcess], **kwargs):
 
 
 def main(**kwargs):
+    settings = get_config_and_secrets()
+    set_start_method("spawn", force=True)
+    freeze_support()
+
     run_processes(
         [
             PyroNameServer(),
-            ExecutionManager(pool_size=5),
+            ExecutionManager(pool_size=settings.config.num_workers),
             ExecutionScheduler(),
             AgentServer(),
         ],
diff --git a/rnd/autogpt_server/autogpt_server/server/server.py b/rnd/autogpt_server/autogpt_server/server/server.py
index 40a87c2e7691..c41ffbc27f7b 100644
--- a/rnd/autogpt_server/autogpt_server/server/server.py
+++ b/rnd/autogpt_server/autogpt_server/server/server.py
@@ -1,8 +1,11 @@
+from typing import Annotated, Any, Dict
 import uuid
+from fastapi.responses import JSONResponse
+from fastapi.staticfiles import StaticFiles
 import uvicorn
 
 from contextlib import asynccontextmanager
-from fastapi import APIRouter, FastAPI, HTTPException
+from fastapi import APIRouter, Body, FastAPI, HTTPException
 
 from autogpt_server.data import db, execution, block
 from autogpt_server.data.graph import (
@@ -13,8 +16,10 @@
     Link,
 )
 from autogpt_server.executor import ExecutionManager, ExecutionScheduler
+from autogpt_server.util.data import get_frontend_path
 from autogpt_server.util.process import AppProcess
 from autogpt_server.util.service import get_service_client
+from autogpt_server.util.settings import Settings
 
 
 class AgentServer(AppProcess):
@@ -84,6 +89,17 @@ def run(self):
             endpoint=self.update_schedule,
             methods=["PUT"],
         )
+        router.add_api_route(
+            path="/settings",
+            endpoint=self.update_configuration,
+            methods=["POST"],
+        )
+
+        app.mount(
+            path="/frontend",
+            app=StaticFiles(directory=get_frontend_path(), html=True),
+            name="example_files",
+        )
 
         app.include_router(router)
         uvicorn.run(app, host="0.0.0.0", port=8000)
@@ -123,11 +139,12 @@ async def execute_graph(self, graph_id: str, node_input: dict) -> dict:
         try:
             return self.execution_manager_client.add_execution(graph_id, node_input)
         except Exception as e:
-            msg = e.__str__().encode().decode('unicode_escape')
+            msg = e.__str__().encode().decode("unicode_escape")
             raise HTTPException(status_code=400, detail=msg)
 
     async def get_executions(
-            self, graph_id: str, run_id: str) -> list[execution.ExecutionResult]:
+        self, graph_id: str, run_id: str
+    ) -> list[execution.ExecutionResult]:
         graph = await get_graph(graph_id)
         if not graph:
             raise HTTPException(status_code=404, detail=f"Agent #{graph_id} not found.")
@@ -152,3 +169,31 @@ def update_schedule(self, schedule_id: str, input_data: dict) -> dict:
     def get_execution_schedules(self, graph_id: str) -> dict[str, str]:
         execution_scheduler = self.execution_scheduler_client
         return execution_scheduler.get_execution_schedules(graph_id)
+
+    def update_configuration(
+        self,
+        updated_settings: Annotated[
+            Dict[str, Any], Body(examples=[{"config": {"num_workers": 10}}])
+        ],
+    ):
+        settings = Settings()
+        try:
+            updated_fields = {"config": [], "secrets": []}
+            for key, value in updated_settings.get("config", {}).items():
+                if hasattr(settings.config, key):
+                    setattr(settings.config, key, value)
+                    updated_fields["config"].append(key)
+            for key, value in updated_settings.get("secrets", {}).items():
+                if hasattr(settings.secrets, key):
+                    setattr(settings.secrets, key, value)
+                    updated_fields["secrets"].append(key)
+            settings.save()
+            return JSONResponse(
+                content={
+                    "message": "Settings updated successfully",
+                    "updated_fields": updated_fields,
+                },
+                status_code=200,
+            )
+        except Exception as e:
+            raise HTTPException(status_code=400, detail=str(e))
diff --git a/rnd/autogpt_server/autogpt_server/util/data.py b/rnd/autogpt_server/autogpt_server/util/data.py
new file mode 100644
index 000000000000..d9659623f735
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/util/data.py
@@ -0,0 +1,35 @@
+import os
+import pathlib
+import sys
+
+
+def get_secrets_path() -> pathlib.Path:
+    return get_data_path() / "secrets"
+
+
+def get_config_path() -> pathlib.Path:
+    return get_data_path()
+
+
+def get_frontend_path() -> pathlib.Path:
+    if getattr(sys, "frozen", False):
+        # The application is frozen
+        datadir = pathlib.Path(os.path.dirname(sys.executable)) / "example_files"
+    else:
+        # The application is not frozen
+        # Change this bit to match where you store your data files:
+        filedir = os.path.dirname(__file__)
+        datadir = pathlib.Path(filedir).parent.parent.parent / "example_files"
+    return pathlib.Path(datadir)
+
+
+def get_data_path() -> pathlib.Path:
+    if getattr(sys, "frozen", False):
+        # The application is frozen
+        datadir = os.path.dirname(sys.executable)
+    else:
+        # The application is not frozen
+        # Change this bit to match where you store your data files:
+        filedir = os.path.dirname(__file__)
+        datadir = pathlib.Path(filedir).parent.parent
+    return pathlib.Path(datadir)
diff --git a/rnd/autogpt_server/autogpt_server/util/process.py b/rnd/autogpt_server/autogpt_server/util/process.py
index 88ae3851182f..764d1f947d0f 100644
--- a/rnd/autogpt_server/autogpt_server/util/process.py
+++ b/rnd/autogpt_server/autogpt_server/util/process.py
@@ -2,7 +2,6 @@
 import sys
 from abc import ABC, abstractmethod
 from multiprocessing import Process, freeze_support, set_start_method
-from multiprocessing.spawn import freeze_support as freeze_support_spawn
 from typing import Optional
 
 
@@ -10,10 +9,9 @@ class AppProcess(ABC):
     """
     A class to represent an object that can be executed in a background process.
     """
+
     process: Optional[Process] = None
-    set_start_method('spawn', force=True)
-    freeze_support()
-    freeze_support_spawn()
+    set_start_method("spawn", force=True)
 
     @abstractmethod
     def run(self):
diff --git a/rnd/autogpt_server/autogpt_server/util/settings.py b/rnd/autogpt_server/autogpt_server/util/settings.py
new file mode 100644
index 000000000000..2a60d58abcef
--- /dev/null
+++ b/rnd/autogpt_server/autogpt_server/util/settings.py
@@ -0,0 +1,108 @@
+import json
+import os
+from typing import Any, Dict, Generic, Set, Tuple, Type, TypeVar
+from pydantic import BaseModel, Field, PrivateAttr
+from pydantic_settings import (
+    BaseSettings,
+    JsonConfigSettingsSource,
+    PydanticBaseSettingsSource,
+    SettingsConfigDict,
+)
+
+from autogpt_server.util.data import get_config_path, get_data_path, get_secrets_path
+
+T = TypeVar("T", bound=BaseSettings)
+
+
+class UpdateTrackingModel(BaseModel, Generic[T]):
+    _updated_fields: Set[str] = PrivateAttr(default_factory=set)
+
+    def __setattr__(self, name: str, value) -> None:
+        if name in self.model_fields:
+            self._updated_fields.add(name)
+        super().__setattr__(name, value)
+
+
+    def mark_updated(self, field_name: str) -> None:
+        if field_name in self.model_fields:
+            self._updated_fields.add(field_name)
+
+    def clear_updates(self) -> None:
+        self._updated_fields.clear()
+
+    def get_updates(self) -> Dict[str, Any]:
+        return {field: getattr(self, field) for field in self._updated_fields}
+
+
+class Config(UpdateTrackingModel["Config"], BaseSettings):
+    """Config for the server."""
+
+    num_workers: int = Field(
+        default=9, ge=1, le=100, description="Number of workers to use for execution."
+    )
+    # Add more configuration fields as needed
+
+    model_config = SettingsConfigDict(
+        json_file=[
+            get_config_path() / "config.default.json",
+            get_config_path() / "config.json",
+        ],
+        env_file=".env",
+        env_file_encoding="utf-8",
+        extra="allow",
+    )
+
+    @classmethod
+    def settings_customise_sources(
+        cls,
+        settings_cls: Type[BaseSettings],
+        init_settings: PydanticBaseSettingsSource,
+        env_settings: PydanticBaseSettingsSource,
+        dotenv_settings: PydanticBaseSettingsSource,
+        file_secret_settings: PydanticBaseSettingsSource,
+    ) -> Tuple[PydanticBaseSettingsSource, ...]:
+        return (JsonConfigSettingsSource(settings_cls),)
+
+
+class Secrets(UpdateTrackingModel["Secrets"], BaseSettings):
+    """Secrets for the server."""
+
+    database_password: str = ""
+    # Add more secret fields as needed
+
+    model_config = SettingsConfigDict(
+        secrets_dir=get_secrets_path(),
+        env_file=".env",
+        env_file_encoding="utf-8",
+        extra="allow",
+    )
+
+
+class Settings(BaseModel):
+    config: Config = Config()
+    secrets: Secrets = Secrets()
+
+    def save(self) -> None:
+        # Save updated config to JSON file
+        if self.config._updated_fields:
+            config_to_save = self.config.get_updates()
+            config_path = os.path.join(get_data_path(), "config.json")
+            if os.path.exists(config_path):
+                with open(config_path, "r+") as f:
+                    existing_config: Dict[str, Any] = json.load(f)
+                    existing_config.update(config_to_save)
+                    f.seek(0)
+                    json.dump(existing_config, f, indent=2)
+                    f.truncate()
+            else:
+                with open(config_path, "w") as f:
+                    json.dump(config_to_save, f, indent=2)
+            self.config.clear_updates()
+
+        # Save updated secrets to individual files
+        secrets_dir = get_secrets_path()
+        for key in self.secrets._updated_fields:
+            secret_file = os.path.join(secrets_dir, key)
+            with open(secret_file, "w") as f:
+                f.write(str(getattr(self.secrets, key)))
+        self.secrets.clear_updates()
diff --git a/rnd/autogpt_server/config.default.json b/rnd/autogpt_server/config.default.json
new file mode 100644
index 000000000000..cbc8006a2477
--- /dev/null
+++ b/rnd/autogpt_server/config.default.json
@@ -0,0 +1,3 @@
+{
+  "num_workers": 5
+}
\ No newline at end of file
diff --git a/rnd/autogpt_server/poetry.lock b/rnd/autogpt_server/poetry.lock
index 50cf787bcef2..931d89b56e6e 100644
--- a/rnd/autogpt_server/poetry.lock
+++ b/rnd/autogpt_server/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
 
 [[package]]
 name = "annotated-types"
@@ -132,67 +132,33 @@ python-dateutil = "*"
 pytz = ">2021.1"
 
 [[package]]
-name = "cx-freeze"
-version = "7.0.0"
+name = "cx_Freeze"
+version = "7.1.1"
 description = "Create standalone executables from Python scripts"
 optional = false
 python-versions = ">=3.8"
-files = [
-    {file = "cx_Freeze-7.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:421920dbee2b4aab53a81f6c99d18b00baf622a328eae8e489f162154a46192a"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:5fa1ca4cf20c6ce45ce2e26bf8b2086525aaaa774e2ee1b16da4e0f9f18c7272"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a520bc6772325c0e38924da1d827fe370702f8df397f483691b94d36179beef6"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b89ed99a2f99fd2f3e28a91c85bdd75b4bfaf11b04729ba3282bfebdadadf880"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5174821c82826e5a57e43960877087f5af6073e3877b0b38a0be244111fe1a76"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:cfd18cc00f3240b03d5bdf9515d59ace0881b5b5b6f2e7655d857d1fb71f351d"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:bac44e65bdfce0839b9a6d15373ea084fda3cdbd902351cde530991b450c2b2d"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:51a374f273d575827efe4f7ed9a88b6cab78abffacb858c829d7cbe4dc4ff56e"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-win32.whl", hash = "sha256:6603e6c47a15bd84bfbb20d92dc01d5e586b54928eb618461d2f14305471d570"},
-    {file = "cx_Freeze-7.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:d7ec847af5afbe3c638a096aae4ff5982a17d95e2fb7975e525ecf9505a185ea"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:04b7a2e5c53f5d537f3d958ebf2b0a0a7cbe8daf980cb0087559a3e698abc582"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:50e7e78001d4f78e70a403ecb5507685854ce1e6c3ff37bec1920eb6f2256534"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2d37ed560e86ca7958684701a6ae7f3300226d0d7c861ca5b90c78bf4c619ad2"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:42145dc5c2c7a98c620b30b7e25661954817a13355c50c4219a4a4954b39db39"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6f9034d6f9c10d84d7edc0e4f4020e878de367e83c5877c039aa3c8b733bc318"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:adc6bdba9ff8705745831620efb6ee5eff9ec6d31d9b8c56d2a61d6555299157"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:37a3234c0e54b4afd561b47be4f22a6496f9436275fb7b59d90d7a3269fb4d6f"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:83549f9f817cafa59ea2f6e2045c8fe119628458ff14bb732649b01b0a637f6d"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-win32.whl", hash = "sha256:c508cd354728367311a7deb5bb616eee441bf79c900e3129a49fd54a372dc223"},
-    {file = "cx_Freeze-7.0.0-cp311-cp311-win_amd64.whl", hash = "sha256:8fb71d23dba27dc40393a8b460bbf64759899246cd595860f66493cee64f27a5"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:648fd0acb439efe22dced2430cbaeca87e5ca9ab315d148933104376cca9553d"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:3125a8408da3ff4b0cf767689d678909f840dfe08633f5f2d3cfe333111dc334"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07e56b06c7ca0bd2fc37e3783908767dbe1926e1e2609edcaefcc749ab584329"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:25531d5c61bb5e974d8a5d042f29a37a786e91c1d6f66e018fc50342a416f4e1"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f97154b4b60f6e1953ebce05803a5e11a35047d097fad60d7c181303b7c6ef6e"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:2333db5cfa6db700c79fd45d614d38e9d698f1df2a3c7e21ccbcc63cc8a7a9b7"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:d45a58e0a9b010e0823c30fb8eb2077560d2bb0f78e4481a55bdb6ad0729f390"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:0422dbd426fd9f4f4ec0cadc7e3192d38227464daa3eb215b03eb577cd9a49d4"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-win32.whl", hash = "sha256:2018e9cbf8172da09b311cfc3906503ee6ae88665ec77c543013173b2532b731"},
-    {file = "cx_Freeze-7.0.0-cp312-cp312-win_amd64.whl", hash = "sha256:ae5facd782b220bca6828eb6fb1834540cf431b1a615cc63652641bd070b11e6"},
-    {file = "cx_Freeze-7.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:f06368dd41568572818c4abfcf9b45449dced3fa9f1b5f29e3523ba4ff7fcfbb"},
-    {file = "cx_Freeze-7.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e203d90d8fa1cc4489b15edac7dfdd983518a02999f275897160fc0ecfa98e4c"},
-    {file = "cx_Freeze-7.0.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:f800b0bc2df14c66fcf2f220ecf273c5942d0b982268d8e5ccc9ef2fa56e576f"},
-    {file = "cx_Freeze-7.0.0-cp38-cp38-win32.whl", hash = "sha256:c52641ce2484222f4d60f0acbc79b2dfbfb984493101a4806c5af0ad379ebc82"},
-    {file = "cx_Freeze-7.0.0-cp38-cp38-win_amd64.whl", hash = "sha256:92a15613be3fcc7a310e825c92ae3e83a7e689ade00ce2ea981403e4317c7234"},
-    {file = "cx_Freeze-7.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:60a0f674b6a55fdf46d0cc59122551a79221ceecd038fed8533dcbceb9714435"},
-    {file = "cx_Freeze-7.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb15314e8395e9658a8a5e4e19558d0e096a68b76c744ba81ebc249061b7dd9e"},
-    {file = "cx_Freeze-7.0.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:3290127acc67e830265265a911d9018640ffffb7fddb86eacb1e3d83ed4136c4"},
-    {file = "cx_Freeze-7.0.0-cp39-cp39-win32.whl", hash = "sha256:aa885f2fb29b9f7d9a7d8af223d38d98905484cc2356c474bb1d6fd1704323ad"},
-    {file = "cx_Freeze-7.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:fe4dbbfd52454c8ddb550f112713ee2ac36cc024303557763b605e35cdb6b9a8"},
-    {file = "cx_freeze-7.0.0.tar.gz", hash = "sha256:b03f2854a15dd1e8962660d18882a71fefba0e1b6f68337193d4a072d1fc36e6"},
-]
+files = []
+develop = true
 
 [package.dependencies]
-cx-Logging = {version = ">=3.1", markers = "sys_platform == \"win32\""}
-filelock = {version = ">=3.11.0", markers = "sys_platform == \"linux\""}
+cx_Logging = {version = ">=3.1", markers = "sys_platform == \"win32\""}
+dmgbuild = {version = ">=1.6.1", markers = "sys_platform == \"darwin\""}
+filelock = {version = ">=3.12.3", markers = "sys_platform == \"linux\""}
 lief = {version = ">=0.12.0,<0.15.0", markers = "sys_platform == \"win32\""}
-patchelf = {version = ">=0.14", markers = "sys_platform == \"linux\" and (platform_machine == \"aarch64\" or platform_machine == \"armv7l\" or platform_machine == \"i686\" or platform_machine == \"ppc64le\" or platform_machine == \"s390x\" or platform_machine == \"x86_64\")"}
-setuptools = ">=62.6,<70"
+patchelf = {version = ">=0.14", markers = "sys_platform == \"linux\" and (platform_machine == \"x86_64\" or platform_machine == \"i686\" or platform_machine == \"aarch64\" or platform_machine == \"armv7l\" or platform_machine == \"ppc64le\" or platform_machine == \"s390x\")"}
+setuptools = ">=65.6.3,<71"
 wheel = ">=0.42.0,<=0.43.0"
 
 [package.extras]
-dev = ["bump-my-version (==0.20.1)", "cibuildwheel (==2.17.0)", "pre-commit (==3.7.0)"]
-doc = ["furo (==2024.1.29)", "myst-parser (==2.0.0)", "sphinx (==7.3.7)", "sphinx-new-tab-link (==0.4.0)", "sphinx-tabs (==3.4.5)"]
-test = ["coverage (==7.4.4)", "pluggy (==1.4.0)", "pytest (==8.1.1)", "pytest-cov (==5.0.0)", "pytest-datafiles (==3.0.0)", "pytest-mock (==3.14.0)", "pytest-timeout (==2.3.1)", "pytest-xdist[psutil] (==3.6.0)"]
+dev = ["bump-my-version (==0.24.0)", "cibuildwheel (==2.19.1)", "pre-commit (==3.5.0)", "pre-commit (==3.7.1)"]
+doc = ["furo (==2024.5.6)", "myst-parser (==3.0.1)", "sphinx (==7.3.7)", "sphinx-new-tab-link (==0.4.0)", "sphinx-tabs (==3.4.5)"]
+test = ["coverage (==7.5.4)", "pluggy (==1.5.0)", "pytest (==8.2.2)", "pytest-cov (==5.0.0)", "pytest-datafiles (==3.0.0)", "pytest-mock (==3.14.0)", "pytest-timeout (==2.3.1)", "pytest-xdist[psutil] (==3.6.1)"]
+
+[package.source]
+type = "git"
+url = "https://github.com/ntindle/cx_Freeze.git"
+reference = "main"
+resolved_reference = "876fe77c97db749b7b0aed93c12142a7226ee7e4"
 
 [[package]]
 name = "cx-logging"
@@ -224,6 +190,46 @@ files = [
     {file = "cx_Logging-3.2.0.tar.gz", hash = "sha256:bdbad6d2e6a0cc5bef962a34d7aa1232e88ea9f3541d6e2881675b5e7eab5502"},
 ]
 
+[[package]]
+name = "dmgbuild"
+version = "1.6.1"
+description = "macOS command line utility to build disk images"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "dmgbuild-1.6.1-py3-none-any.whl", hash = "sha256:45dba6af4a64872c6a91eb335ebeaf5e1f4f4f39c89fd77cf40e841bd1226166"},
+    {file = "dmgbuild-1.6.1.tar.gz", hash = "sha256:7ced2603d684e29c22b4cd507d1e15a1907e91b86259924b8cfe480d80553b43"},
+]
+
+[package.dependencies]
+ds-store = ">=1.1.0"
+mac-alias = ">=2.0.1"
+
+[package.extras]
+badge-icons = ["pyobjc-framework-Quartz (>=3.0.4)"]
+dev = ["pre-commit", "tox"]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-cov", "pytest-tldr"]
+
+[[package]]
+name = "ds-store"
+version = "1.3.1"
+description = "Manipulate Finder .DS_Store files from Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ds_store-1.3.1-py3-none-any.whl", hash = "sha256:fbacbb0bd5193ab3e66e5a47fff63619f15e374ffbec8ae29744251a6c8f05b5"},
+    {file = "ds_store-1.3.1.tar.gz", hash = "sha256:c27d413caf13c19acb85d75da4752673f1f38267f9eb6ba81b3b5aa99c2d207c"},
+]
+
+[package.dependencies]
+mac-alias = ">=2.0.1"
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-cov", "pytest-tldr"]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.1"
@@ -506,6 +512,22 @@ files = [
     {file = "lief-0.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:2db3eb282a35daf51f89c6509226668a08fb6a6d1f507dd549dd9f077585db11"},
 ]
 
+[[package]]
+name = "mac-alias"
+version = "2.2.2"
+description = "Generate/parse Mac OS Alias records from Python"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mac_alias-2.2.2-py3-none-any.whl", hash = "sha256:504ab8ac546f35bbd75ad014d6ad977c426660aa721f2cd3acf3dc2f664141bd"},
+    {file = "mac_alias-2.2.2.tar.gz", hash = "sha256:c99c728eb512e955c11f1a6203a0ffa8883b26549e8afe68804031aa5da856b7"},
+]
+
+[package.extras]
+dev = ["pre-commit", "tox"]
+docs = ["sphinx", "sphinx-autobuild", "sphinx-rtd-theme"]
+test = ["pytest", "pytest-cov", "pytest-tldr"]
+
 [[package]]
 name = "markupsafe"
 version = "2.1.5"
@@ -846,6 +868,25 @@ files = [
 [package.dependencies]
 typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
+[[package]]
+name = "pydantic-settings"
+version = "2.3.4"
+description = "Settings management using Pydantic"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
+    {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
+]
+
+[package.dependencies]
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
+
+[package.extras]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
+
 [[package]]
 name = "pyflakes"
 version = "3.2.0"
@@ -1631,4 +1672,4 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "17f25b61da5f54bb4bb13cecfedda56d23c097aacb95bb213f13ce63ee08c761"
+content-hash = "a243c28b48b60e14513fc18629096a7f9d1c60ae7b05a6c50125c1d4c045033e"
diff --git a/rnd/autogpt_server/pyproject.toml b/rnd/autogpt_server/pyproject.toml
index 2de400fa7ad3..028a52c45af9 100644
--- a/rnd/autogpt_server/pyproject.toml
+++ b/rnd/autogpt_server/pyproject.toml
@@ -25,10 +25,11 @@ tenacity = "^8.3.0"
 apscheduler = "^3.10.4"
 croniter = "^2.0.5"
 pytest-asyncio = "^0.23.7"
+pydantic-settings = "^2.3.4"
 
 
 [tool.poetry.group.dev.dependencies]
-cx-freeze = "7.0.0"
+cx-freeze = { git = "https://github.com/ntindle/cx_Freeze.git", rev = "main", develop = true }
 poethepoet = "^0.26.1"
 httpx = "^0.27.0"
 pytest-watcher = "^0.4.2"
@@ -85,4 +86,4 @@ patterns = ["*.py"]
 ignore_patterns = []
 
 [tool.pytest.ini_options]
-asyncio_mode = "auto"
\ No newline at end of file
+asyncio_mode = "auto"
diff --git a/rnd/autogpt_server/secrets/.gitkeep b/rnd/autogpt_server/secrets/.gitkeep
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/rnd/autogpt_server/setup.py b/rnd/autogpt_server/setup.py
index c83cf2f22f02..69090502307b 100644
--- a/rnd/autogpt_server/setup.py
+++ b/rnd/autogpt_server/setup.py
@@ -1,7 +1,9 @@
+import platform
+from pathlib import Path
 from pkgutil import iter_modules
-from shutil import which
+from typing import Union
 
-from cx_Freeze import Executable, setup
+from cx_Freeze import Executable, setup # type: ignore
 
 packages = [
     m.name
@@ -9,13 +11,52 @@
     if m.ispkg and m.module_finder and "poetry" in m.module_finder.path  # type: ignore
 ]
 packages.append("collections")
+packages.append("autogpt_server.util.service")
+packages.append("autogpt_server.executor.manager")
+packages.append("autogpt_server.util.service")
+
+# set the icon based on the platform
+icon = "../../assets/gpt_dark_RGB.ico"
+if platform.system() == "Darwin":
+    icon = "../../assets/gpt_dark_RGB.icns"
+elif platform.system() == "Linux":
+    icon = "../../assets/gpt_dark_RGB.png"
+
+
+def txt_to_rtf(input_file: Union[str, Path], output_file: Union[str, Path]) -> None:
+    """
+    Convert a text file to RTF format.
+
+    Args:
+    input_file (Union[str, Path]): Path to the input text file.
+    output_file (Union[str, Path]): Path to the output RTF file.
+
+    Returns:
+    None
+    """
+    input_path = Path(input_file)
+    output_path = Path(output_file)
+
+    with input_path.open("r", encoding="utf-8") as txt_file:
+        content = txt_file.read()
+
+    # RTF header
+    rtf = r"{\rtf1\ansi\deff0 {\fonttbl {\f0 Times New Roman;}}\f0\fs24 "
+
+    # Replace newlines with RTF newline
+    rtf += content.replace("\n", "\\par ")
+
+    # Close RTF document
+    rtf += "}"
+
+    with output_path.open("w", encoding="utf-8") as rtf_file:
+        rtf_file.write(rtf)
+
+
+# Convert LICENSE to LICENSE.rtf
+license_file = "LICENSE.rtf"
+txt_to_rtf("../../LICENSE", license_file)
 
-# if mac use the icns file, otherwise use the ico file
-icon = (
-    "../../assets/gpt_dark_RGB.icns"
-    if which("sips")
-    else "../../assets/gpt_dark_RGB.ico"
-)
 
 setup(
     name="AutoGPT Server",
@@ -41,30 +82,48 @@
             "packages": packages,
             "includes": [
                 "autogpt_server",
-                "uvicorn.loops.auto",
-                "uvicorn.protocols.http.auto",
-                "uvicorn.protocols.websockets.auto",
-                "uvicorn.lifespan.on",
+                "prisma",
             ],
             # Exclude the two module from readability.compat as it causes issues
             "excludes": ["readability.compat.two"],
+            "include_files": [
+                # source, destination in the bundle
+                # (../frontend, example_files) would also work but you'd need to load the frontend differently in the data.py to correctly get the path when frozen
+                ("../example_files", "example_files"),
+            ],
         },
         # Mac .app specific options
         "bdist_mac": {
             "bundle_name": "AutoGPT",
             "iconfile": "../../assets/gpt_dark_RGB.icns",
-            # "include_resources": ["IMG_3775.jpeg"],
         },
         # Mac .dmg specific options
         "bdist_dmg": {
             "applications_shortcut": True,
             "volume_label": "AutoGPTServer",
+            "background": "builtin-arrow",
+            
+            "license": {
+                "default-language": "en_US",
+                "licenses": {"en_US": license_file},
+                "buttons": {
+                    "en_US": [
+                        "English",
+                        "Agree",
+                        "Disagree",
+                        "Print",
+                        "Save",
+                        "If you agree, click Agree to continue the installation. If you do not agree, click Disagree to cancel the installation.",
+                    ]
+                },
+            },
         },
         # Windows .msi specific options
         "bdist_msi": {
             "target_name": "AutoGPTServer",
             "add_to_path": True,
             "install_icon": "../../assets/gpt_dark_RGB.ico",
+            "license_file": license_file,
         },
         # Linux .appimage specific options
         "bdist_appimage": {},
diff --git a/rnd/example_files/index.html b/rnd/example_files/index.html
new file mode 100644
index 000000000000..0c3c960b1854
--- /dev/null
+++ b/rnd/example_files/index.html
@@ -0,0 +1,19 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <title>Example Files</title>
+  <meta charset="utf-8">
+  <meta name="viewport" content="width=device-width, initial-scale=1">
+</head>
+
+<body>
+  <h1>Example Files</h1>
+  <ul>
+    <li><a href="example1.txt">Example 1</a></li>
+    <li><a href="example2.txt">Example 2</a></li>
+    <li><a href="example3.txt">Example 3</a></li>
+  </ul>
+</body>
+
+</html>
\ No newline at end of file

From 6093acc8130a5e20f3b41ee86406ff6033492024 Mon Sep 17 00:00:00 2001
From: Aarushi <50577581+aarushik93@users.noreply.github.com>
Date: Thu, 27 Jun 2024 17:03:10 +0100
Subject: [PATCH 11/23] Add more functionality to Nodes (#7278)

updating node behaviour
---
 .../src/components/CustomNode.tsx             | 183 ++++++++++++++----
 .../src/components/ModalComponent.tsx         |  40 ++++
 .../src/components/customnode.css             | 143 ++++++++++++++
 rnd/autogpt_builder/src/components/modal.css  |  34 ++++
 4 files changed, 363 insertions(+), 37 deletions(-)
 create mode 100644 rnd/autogpt_builder/src/components/ModalComponent.tsx
 create mode 100644 rnd/autogpt_builder/src/components/customnode.css
 create mode 100644 rnd/autogpt_builder/src/components/modal.css

diff --git a/rnd/autogpt_builder/src/components/CustomNode.tsx b/rnd/autogpt_builder/src/components/CustomNode.tsx
index 522cd7863549..f401efbf548f 100644
--- a/rnd/autogpt_builder/src/components/CustomNode.tsx
+++ b/rnd/autogpt_builder/src/components/CustomNode.tsx
@@ -1,15 +1,21 @@
 import React, { useState, useEffect, FC, memo } from 'react';
 import { Handle, Position, NodeProps } from 'reactflow';
 import 'reactflow/dist/style.css';
+import './customnode.css';
+import ModalComponent from './ModalComponent';
 
 type Schema = {
+  type: string;
   properties: { [key: string]: any };
+  required?: string[];
 };
 
-const CustomNode: FC<NodeProps> = ({ data }) => {
+const CustomNode: FC<NodeProps> = ({ data, id }) => {
   const [isPropertiesOpen, setIsPropertiesOpen] = useState(data.isPropertiesOpen || false);
+  const [isModalOpen, setIsModalOpen] = useState(false);
+  const [activeKey, setActiveKey] = useState<string | null>(null);
+  const [modalValue, setModalValue] = useState<string>('');
 
-  // Automatically open properties when output_data or status is updated
   useEffect(() => {
     if (data.output_data || data.status) {
       setIsPropertiesOpen(true);
@@ -24,7 +30,7 @@ const CustomNode: FC<NodeProps> = ({ data }) => {
     if (!schema?.properties) return null;
     const keys = Object.keys(schema.properties);
     return keys.map((key) => (
-      <div key={key} style={{ display: 'flex', alignItems: 'center', position: 'relative', marginBottom: '5px' }}>
+      <div key={key} className="handle-container">
         {type === 'target' && (
           <>
             <Handle
@@ -33,12 +39,12 @@ const CustomNode: FC<NodeProps> = ({ data }) => {
               id={key}
               style={{ background: '#555', borderRadius: '50%' }}
             />
-            <span style={{ color: '#e0e0e0', marginLeft: '10px' }}>{key}</span>
+            <span className="handle-label">{key}</span>
           </>
         )}
         {type === 'source' && (
           <>
-            <span style={{ color: '#e0e0e0', marginRight: '10px' }}>{key}</span>
+            <span className="handle-label">{key}</span>
             <Handle
               type={type}
               position={Position.Right}
@@ -57,57 +63,160 @@ const CustomNode: FC<NodeProps> = ({ data }) => {
   };
 
   const isHandleConnected = (key: string) => {
-    return data.connections.some((conn: string) => {
-      const [, target] = conn.split(' -> ');
+    return data.connections && data.connections.some((conn: string) => {
+      const [source, target] = conn.split(' -> ');
       return target.includes(key) && target.includes(data.title);
     });
   };
 
-  const hasDisconnectedHandle = (key: string) => {
-    return !isHandleConnected(key);
+  const handleInputClick = (key: string) => {
+    setActiveKey(key);
+    setModalValue(data.hardcodedValues[key] || '');
+    setIsModalOpen(true);
+  };
+
+  const handleModalSave = (value: string) => {
+    if (activeKey) {
+      handleInputChange(activeKey, value);
+    }
+    setIsModalOpen(false);
+    setActiveKey(null);
+  };
+
+  const renderInputField = (key: string, schema: any) => {
+    switch (schema.type) {
+      case 'string':
+        return schema.enum ? (
+          <div key={key} className="input-container">
+            <select
+              value={data.hardcodedValues[key] || ''}
+              onChange={(e) => handleInputChange(key, e.target.value)}
+              className="select-input"
+            >
+              {schema.enum.map((option: string) => (
+                <option key={option} value={option}>
+                  {option}
+                </option>
+              ))}
+            </select>
+          </div>
+        ) : (
+          <div key={key} className="input-container">
+            <div className="clickable-input" onClick={() => handleInputClick(key)}>
+              {data.hardcodedValues[key] || `Enter ${key}`}
+            </div>
+          </div>
+        );
+      case 'boolean':
+        return (
+          <div key={key} className="input-container">
+            <label className="radio-label">
+              <input
+                type="radio"
+                value="true"
+                checked={data.hardcodedValues[key] === true}
+                onChange={() => handleInputChange(key, true)}
+              />
+              True
+            </label>
+            <label className="radio-label">
+              <input
+                type="radio"
+                value="false"
+                checked={data.hardcodedValues[key] === false}
+                onChange={() => handleInputChange(key, false)}
+              />
+              False
+            </label>
+          </div>
+        );
+      case 'integer':
+      case 'number':
+        return (
+          <div key={key} className="input-container">
+            <input
+              type="number"
+              value={data.hardcodedValues[key] || ''}
+              onChange={(e) => handleInputChange(key, parseFloat(e.target.value))}
+              className="number-input"
+            />
+          </div>
+        );
+      case 'array':
+        if (schema.items && schema.items.type === 'string' && schema.items.enum) {
+          return (
+            <div key={key} className="input-container">
+              <select
+                value={data.hardcodedValues[key] || ''}
+                onChange={(e) => handleInputChange(key, e.target.value)}
+                className="select-input"
+              >
+                {schema.items.enum.map((option: string) => (
+                  <option key={option} value={option}>
+                    {option}
+                  </option>
+                ))}
+              </select>
+            </div>
+          );
+        }
+        return null;
+      default:
+        return null;
+    }
   };
 
   return (
-    <div style={{ padding: '20px', border: '2px solid #fff', borderRadius: '20px', background: '#333', color: '#e0e0e0', width: '250px' }}>
-      <div style={{ display: 'flex', justifyContent: 'space-between', alignItems: 'center', marginBottom: '10px' }}>
-        <div style={{ fontSize: '18px', fontWeight: 'bold' }}>
-          {data?.title.replace(/\d+/g, '')}
-        </div>
-        <button
-          onClick={toggleProperties}
-          style={{ background: 'transparent', border: 'none', cursor: 'pointer', color: '#e0e0e0' }}
-        >
+    <div className="custom-node">
+      <div className="node-header">
+        <div className="node-title">{data?.title.replace(/\d+/g, '')}</div>
+        <button onClick={toggleProperties} className="toggle-button">
           &#9776;
         </button>
       </div>
-      <div style={{ display: 'flex', flexDirection: 'row', justifyContent: 'space-between', gap: '20px' }}>
-        <div>
-          {data.inputSchema && generateHandles(data.inputSchema, 'target')}
-          {data.inputSchema && Object.keys(data.inputSchema.properties).map(key => (
-            hasDisconnectedHandle(key) && (
-              <div key={key} style={{ marginBottom: '5px' }}>
-                <input
-                  type="text"
-                  placeholder={`Enter ${key}`}
-                  value={data.hardcodedValues[key] || ''}
-                  onChange={(e) => handleInputChange(key, e.target.value)}
-                  style={{ width: '100%', padding: '5px', borderRadius: '4px', border: '1px solid #555', background: '#444', color: '#e0e0e0' }}
-                />
+      <div className="node-content">
+        <div className="input-section">
+          {data.inputSchema &&
+            Object.keys(data.inputSchema.properties).map((key) => (
+              <div key={key}>
+                <div className="handle-container">
+                  <Handle
+                    type="target"
+                    position={Position.Left}
+                    id={key}
+                    style={{ background: '#555', borderRadius: '50%' }}
+                  />
+                  <span className="handle-label">{key}</span>
+                </div>
+                {!isHandleConnected(key) && renderInputField(key, data.inputSchema.properties[key])}
               </div>
-            )
-          ))}
+            ))}
         </div>
-        <div>
+        <div className="output-section">
           {data.outputSchema && generateHandles(data.outputSchema, 'source')}
         </div>
       </div>
       {isPropertiesOpen && (
-        <div style={{ marginTop: '10px', background: '#444', padding: '10px', borderRadius: '10px' }}>
+        <div className="node-properties">
           <h4>Node Output</h4>
-          <p><strong>Status:</strong> {typeof data.status === 'object' ? JSON.stringify(data.status) : data.status || 'N/A'}</p>
-          <p><strong>Output Data:</strong> {typeof data.output_data === 'object' ? JSON.stringify(data.output_data) : data.output_data || 'N/A'}</p>
+          <p>
+            <strong>Status:</strong>{' '}
+            {typeof data.status === 'object' ? JSON.stringify(data.status) : data.status || 'N/A'}
+          </p>
+          <p>
+            <strong>Output Data:</strong>{' '}
+            {typeof data.output_data === 'object'
+              ? JSON.stringify(data.output_data)
+              : data.output_data || 'N/A'}
+          </p>
         </div>
       )}
+      <ModalComponent
+        isOpen={isModalOpen}
+        onClose={() => setIsModalOpen(false)}
+        onSave={handleModalSave}
+        value={modalValue}
+      />
     </div>
   );
 };
diff --git a/rnd/autogpt_builder/src/components/ModalComponent.tsx b/rnd/autogpt_builder/src/components/ModalComponent.tsx
new file mode 100644
index 000000000000..3c2ac13f2214
--- /dev/null
+++ b/rnd/autogpt_builder/src/components/ModalComponent.tsx
@@ -0,0 +1,40 @@
+import React, { FC } from 'react';
+import './modal.css';
+
+interface ModalProps {
+  isOpen: boolean;
+  onClose: () => void;
+  onSave: (value: string) => void;
+  value: string;
+}
+
+const ModalComponent: FC<ModalProps> = ({ isOpen, onClose, onSave, value }) => {
+  const [tempValue, setTempValue] = React.useState(value);
+
+  const handleSave = () => {
+    onSave(tempValue);
+    onClose();
+  };
+
+  if (!isOpen) {
+    return null;
+  }
+
+  return (
+    <div className="modal-overlay">
+      <div className="modal">
+        <textarea
+          className="modal-textarea"
+          value={tempValue}
+          onChange={(e) => setTempValue(e.target.value)}
+        />
+        <div className="modal-actions">
+          <button onClick={onClose}>Cancel</button>
+          <button onClick={handleSave}>Save</button>
+        </div>
+      </div>
+    </div>
+  );
+};
+
+export default ModalComponent;
diff --git a/rnd/autogpt_builder/src/components/customnode.css b/rnd/autogpt_builder/src/components/customnode.css
new file mode 100644
index 000000000000..7a36db734efb
--- /dev/null
+++ b/rnd/autogpt_builder/src/components/customnode.css
@@ -0,0 +1,143 @@
+.custom-node {
+  padding: 20px;
+  border: 2px solid #fff;
+  border-radius: 12px;
+  background: #1e1e1e;
+  color: #e0e0e0;
+  width: 260px;
+  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
+  font-family: 'Arial', sans-serif;
+}
+
+.node-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  margin-bottom: 15px;
+}
+
+.node-title {
+  font-size: 20px;
+  font-weight: bold;
+  color: #61dafb;
+}
+
+.toggle-button {
+  background: transparent;
+  border: none;
+  cursor: pointer;
+  color: #e0e0e0;
+  font-size: 20px;
+}
+
+.node-content {
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+}
+
+.input-section, .output-section {
+  flex: 1;
+}
+
+.handle-container {
+  display: flex;
+  align-items: center;
+  position: relative;
+  margin-bottom: 10px;
+}
+
+.handle-label {
+  color: #e0e0e0;
+  margin-left: 10px;
+}
+
+.input-container {
+  margin-bottom: 10px;
+}
+
+.clickable-input {
+  padding: 10px;
+  border-radius: 8px;
+  border: 1px solid #555;
+  background: #2a2a2a;
+  color: #e0e0e0;
+  cursor: pointer;
+  text-align: center;
+  transition: background 0.3s;
+}
+
+.clickable-input:hover {
+  background: #444;
+}
+
+.select-input {
+  width: 100%;
+  padding: 8px;
+  border-radius: 4px;
+  border: 1px solid #555;
+  background: #2a2a2a;
+  color: #e0e0e0;
+  cursor: pointer;
+}
+
+.radio-group {
+  display: flex;
+  flex-direction: column;
+  gap: 5px;
+}
+
+.radio-label {
+  color: #e0e0e0;
+}
+
+.radio-label input {
+  margin-right: 10px;
+}
+
+.number-input {
+  width: 100%;
+  padding: 8px;
+  border-radius: 4px;
+  border: 1px solid #555;
+  background: #2a2a2a;
+  color: #e0e0e0;
+}
+
+.node-properties {
+  margin-top: 20px;
+  background: #2a2a2a;
+  padding: 15px;
+  border-radius: 8px;
+}
+
+.node-properties h4 {
+  margin: 0 0 10px 0;
+}
+
+.node-properties p {
+  margin: 5px 0;
+}
+
+@media screen and (max-width: 768px) {
+  .custom-node {
+    width: 90%;
+    padding: 15px;
+  }
+
+  .node-content {
+    flex-direction: column;
+  }
+
+  .toggle-button {
+    font-size: 16px;
+  }
+
+  .node-title {
+    font-size: 18px;
+  }
+
+  .clickable-input {
+    padding: 8px;
+  }
+}
diff --git a/rnd/autogpt_builder/src/components/modal.css b/rnd/autogpt_builder/src/components/modal.css
new file mode 100644
index 000000000000..926a372d4da8
--- /dev/null
+++ b/rnd/autogpt_builder/src/components/modal.css
@@ -0,0 +1,34 @@
+.modal-overlay {
+  position: fixed;
+  top: 0;
+  left: 0;
+  right: 0;
+  bottom: 0;
+  background: rgba(0, 0, 0, 0.6);
+  display: flex;
+  justify-content: center;
+  align-items: center;
+}
+
+.modal {
+  background: #fff;
+  padding: 20px;
+  border-radius: 8px;
+  width: 500px;
+  max-width: 90%;
+}
+
+.modal-textarea {
+  width: 100%;
+  height: 200px;
+  padding: 10px;
+  border-radius: 4px;
+  border: 1px solid #ccc;
+}
+
+.modal-actions {
+  display: flex;
+  justify-content: flex-end;
+  gap: 10px;
+  margin-top: 10px;
+}

From 4d8ee65ca7a20bcbd10588660d59de8f647e46aa Mon Sep 17 00:00:00 2001
From: Reinier van der Leer <pwuts@agpt.co>
Date: Thu, 27 Jun 2024 14:05:12 -0600
Subject: [PATCH 12/23] fix(pre-commit): Add `benchmark/poetry.lock` to
 "Typecheck - Benchmark" trigger file pattern

---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 7f480ee55173..e98bd8bc51cb 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -97,7 +97,7 @@ repos:
         alias: pyright-benchmark
         entry: poetry -C benchmark run pyright
         args: [-p, benchmark, benchmark]
-        files: ^benchmark/(agbenchmark|tests)/
+        files: ^benchmark/(agbenchmark/|tests/|poetry\.lock$)
         types: [file]
         language: system
         pass_filenames: false

From fbb3891e79d16cc73da0cf20ed1b50cf1f7cec4b Mon Sep 17 00:00:00 2001
From: Reinier van der Leer <pwuts@agpt.co>
Date: Thu, 27 Jun 2024 14:09:00 -0600
Subject: [PATCH 13/23] chore(forge, agent, benchmark): Update `pytest-asyncio`
 to v0.23.x

Resolves #7283
---
 autogpt/poetry.lock      | 16 ++++++++--------
 benchmark/poetry.lock    | 14 +++++++-------
 benchmark/pyproject.toml |  2 +-
 forge/poetry.lock        | 16 ++++++++--------
 forge/pyproject.toml     |  2 +-
 5 files changed, 25 insertions(+), 25 deletions(-)

diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock
index a535be48f235..270b10b8f3da 100644
--- a/autogpt/poetry.lock
+++ b/autogpt/poetry.lock
@@ -25,7 +25,7 @@ pexpect = "^4.8.0"
 psutil = "^5.9.5"
 pydantic = "^1.10.9"
 pytest = "^7.3.2"
-pytest-asyncio = "^0.21.1"
+pytest-asyncio = "^0.23.3"
 python-dotenv = "^1.0.0"
 python-multipart = "^0.0.7"
 pyvis = "^0.3.2"
@@ -359,7 +359,7 @@ watchdog = "4.0.0"
 webdriver-manager = "^4.0.1"
 
 [package.extras]
-benchmark = ["agbenchmark @ file:///D:/AutoGPT/benchmark"]
+benchmark = ["agbenchmark @ file:///home/reinier/code/agpt/AutoGPT/benchmark"]
 
 [package.source]
 type = "directory"
@@ -4785,21 +4785,21 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.1"
+version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-asyncio-0.21.1.tar.gz", hash = "sha256:40a7eae6dded22c7b604986855ea48400ab15b069ae38116e8c01238e9eeb64d"},
-    {file = "pytest_asyncio-0.21.1-py3-none-any.whl", hash = "sha256:8666c1c8ac02631d7c51ba282e0c69a8a452b211ffedf2599099845da5c5c37b"},
+    {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
+    {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=7.0.0,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-benchmark"
diff --git a/benchmark/poetry.lock b/benchmark/poetry.lock
index 02f63abd4b72..441016002bf1 100644
--- a/benchmark/poetry.lock
+++ b/benchmark/poetry.lock
@@ -2192,21 +2192,21 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.1"
+version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-asyncio-0.21.1.tar.gz", hash = "sha256:40a7eae6dded22c7b604986855ea48400ab15b069ae38116e8c01238e9eeb64d"},
-    {file = "pytest_asyncio-0.21.1-py3-none-any.whl", hash = "sha256:8666c1c8ac02631d7c51ba282e0c69a8a452b211ffedf2599099845da5c5c37b"},
+    {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
+    {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=7.0.0,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
@@ -2864,4 +2864,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "4a980e6d8f54a2f7f6a3c55d4f40ac3a4b27b5ac6573dd2a39e11213a4b126dd"
+content-hash = "b252cb57f23080c8e381a27c4ba8177ff541bbe98592270f923f2e61bae95323"
diff --git a/benchmark/pyproject.toml b/benchmark/pyproject.toml
index 240ed064b8db..9caaf7923d04 100644
--- a/benchmark/pyproject.toml
+++ b/benchmark/pyproject.toml
@@ -25,7 +25,7 @@ networkx = "^3.1"
 colorama = "^0.4.6"
 pyvis = "^0.3.2"
 selenium = "^4.11.2"
-pytest-asyncio = "^0.21.1"
+pytest-asyncio = "^0.23.3"
 uvicorn = "^0.23.2"
 fastapi = "^0.109.1"
 python-multipart = "^0.0.7"
diff --git a/forge/poetry.lock b/forge/poetry.lock
index 45b04dafb29a..ca1ffcd743d0 100644
--- a/forge/poetry.lock
+++ b/forge/poetry.lock
@@ -25,7 +25,7 @@ pexpect = "^4.8.0"
 psutil = "^5.9.5"
 pydantic = "^1.10.9"
 pytest = "^7.3.2"
-pytest-asyncio = "^0.21.1"
+pytest-asyncio = "^0.23.3"
 python-dotenv = "^1.0.0"
 python-multipart = "^0.0.7"
 pyvis = "^0.3.2"
@@ -4832,21 +4832,21 @@ testing = ["argcomplete", "attrs (>=19.2.0)", "hypothesis (>=3.56)", "mock", "no
 
 [[package]]
 name = "pytest-asyncio"
-version = "0.21.1"
+version = "0.23.7"
 description = "Pytest support for asyncio"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
-    {file = "pytest-asyncio-0.21.1.tar.gz", hash = "sha256:40a7eae6dded22c7b604986855ea48400ab15b069ae38116e8c01238e9eeb64d"},
-    {file = "pytest_asyncio-0.21.1-py3-none-any.whl", hash = "sha256:8666c1c8ac02631d7c51ba282e0c69a8a452b211ffedf2599099845da5c5c37b"},
+    {file = "pytest_asyncio-0.23.7-py3-none-any.whl", hash = "sha256:009b48127fbe44518a547bddd25611551b0e43ccdbf1e67d12479f569832c20b"},
+    {file = "pytest_asyncio-0.23.7.tar.gz", hash = "sha256:5f5c72948f4c49e7db4f29f2521d4031f1c27f86e57b046126654083d4770268"},
 ]
 
 [package.dependencies]
-pytest = ">=7.0.0"
+pytest = ">=7.0.0,<9"
 
 [package.extras]
 docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
-testing = ["coverage (>=6.2)", "flaky (>=3.5.0)", "hypothesis (>=5.7.1)", "mypy (>=0.931)", "pytest-trio (>=0.7.0)"]
+testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
 
 [[package]]
 name = "pytest-cov"
@@ -6862,4 +6862,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "b02486b166870b64f778f117708c9dab9ce9305340ad5ef28994273925f09c4c"
+content-hash = "970e0207fb787dd11f7b721a17c03bb2f42c2bd54d6ea71446da440b5295ae24"
diff --git a/forge/pyproject.toml b/forge/pyproject.toml
index 60461e380de2..afdf46a11c64 100644
--- a/forge/pyproject.toml
+++ b/forge/pyproject.toml
@@ -67,7 +67,7 @@ pre-commit = "^3.3.3"
 boto3-stubs = { extras = ["s3"], version = "^1.33.6" }
 types-requests = "^2.31.0.2"
 pytest = "^7.4.0"
-pytest-asyncio = "^0.21.1"
+pytest-asyncio = "^0.23.3"
 pytest-cov = "^5.0.0"
 mock = "^5.1.0"
 pydevd-pycharm = "^233.6745.319"

From 854080f7afff912fe2b0d6d083cb63b00a4a09e4 Mon Sep 17 00:00:00 2001
From: Aarushi <50577581+aarushik93@users.noreply.github.com>
Date: Fri, 28 Jun 2024 00:30:34 +0100
Subject: [PATCH 14/23] ci(builder): Add CI for AutoGPT Builder (#7267)

Add a simple Node/NPM linting workflow for `rnd/autogpt_builder/`

---------

Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
---
 .github/workflows/autogpt-builder-ci.yml | 36 ++++++++++++++++++++++++
 1 file changed, 36 insertions(+)
 create mode 100644 .github/workflows/autogpt-builder-ci.yml

diff --git a/.github/workflows/autogpt-builder-ci.yml b/.github/workflows/autogpt-builder-ci.yml
new file mode 100644
index 000000000000..c7ccb77bf409
--- /dev/null
+++ b/.github/workflows/autogpt-builder-ci.yml
@@ -0,0 +1,36 @@
+name: AutoGPT Builder CI
+
+on:
+  push:
+    branches: [ master ]
+    paths:
+      - '.github/workflows/autogpt-builder-ci.yml'
+      - 'rnd/autogpt_builder/**'
+  pull_request:
+    paths:
+      - '.github/workflows/autogpt-builder-ci.yml'
+      - 'rnd/autogpt_builder/**'
+
+defaults:
+  run:
+    shell: bash
+    working-directory: rnd/autogpt_builder
+
+jobs:
+  lint:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Node.js
+      uses: actions/setup-node@v4
+      with:
+        node-version: '21'
+
+    - name: Install dependencies
+      run: |
+        npm install
+
+    - name: Run lint
+      run: |
+        npm run lint

From cbae8b5c14faa29d9dad199347b9c27cb666cf6f Mon Sep 17 00:00:00 2001
From: Reinier van der Leer <pwuts@agpt.co>
Date: Fri, 28 Jun 2024 02:21:36 +0200
Subject: [PATCH 15/23] chore(agent, forge, benchmark): Clean up dependencies
 (#7286)

* Remove unused dependencies
* Move dependencies for moved code from `autogpt` to `forge`
* Loosen dependency for `uvicorn` to improve compatibility
---
 autogpt/poetry.lock      | 311 +--------------------------------------
 autogpt/pyproject.toml   |  24 +--
 benchmark/poetry.lock    |  27 +---
 benchmark/pyproject.toml |  48 +++---
 forge/poetry.lock        |  81 ++++++----
 forge/pyproject.toml     |  11 +-
 6 files changed, 97 insertions(+), 405 deletions(-)

diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock
index 270b10b8f3da..7758a6e229f3 100644
--- a/autogpt/poetry.lock
+++ b/autogpt/poetry.lock
@@ -33,8 +33,7 @@ requests = "^2.31.0"
 selenium = "^4.11.2"
 tabulate = "^0.9.0"
 toml = "^0.10.2"
-types-requests = "^2.31.0.1"
-uvicorn = "^0.23.2"
+uvicorn = ">=0.23.2,<1"
 
 [package.source]
 type = "directory"
@@ -259,17 +258,6 @@ files = [
     {file = "async_timeout-4.0.3-py3-none-any.whl", hash = "sha256:7405140ff1230c310e51dc27b3145b9092d659ce68ff733fb0cefe3ee42be028"},
 ]
 
-[[package]]
-name = "asynctest"
-version = "0.13.0"
-description = "Enhance the standard unittest package with features for testing asyncio libraries"
-optional = false
-python-versions = ">=3.5"
-files = [
-    {file = "asynctest-0.13.0-py3-none-any.whl", hash = "sha256:5da6118a7e6d6b54d83a8f7197769d046922a44d2a99c21382f0a6e4fadae676"},
-    {file = "asynctest-0.13.0.tar.gz", hash = "sha256:c27862842d15d83e6a34eb0b2866c323880eb3a75e4485b079ea11748fd77fac"},
-]
-
 [[package]]
 name = "attrs"
 version = "23.2.0"
@@ -289,21 +277,6 @@ tests = ["attrs[tests-no-zope]", "zope-interface"]
 tests-mypy = ["mypy (>=1.6)", "pytest-mypy-plugins"]
 tests-no-zope = ["attrs[tests-mypy]", "cloudpickle", "hypothesis", "pympler", "pytest (>=4.3.0)", "pytest-xdist[psutil]"]
 
-[[package]]
-name = "autoflake"
-version = "2.2.1"
-description = "Removes unused imports and unused variables"
-optional = false
-python-versions = ">=3.8"
-files = [
-    {file = "autoflake-2.2.1-py3-none-any.whl", hash = "sha256:265cde0a43c1f44ecfb4f30d95b0437796759d07be7706a2f70e4719234c0f79"},
-    {file = "autoflake-2.2.1.tar.gz", hash = "sha256:62b7b6449a692c3c9b0c916919bbc21648da7281e8506bcf8d3f8280e431ebc1"},
-]
-
-[package.dependencies]
-pyflakes = ">=3.0.0"
-tomli = {version = ">=2.0.1", markers = "python_version < \"3.11\""}
-
 [[package]]
 name = "autogpt-forge"
 version = "0.2.0"
@@ -318,7 +291,6 @@ aiohttp = "^3.8.5"
 anthropic = "^0.25.1"
 beautifulsoup4 = "^4.12.2"
 boto3 = "^1.33.6"
-bs4 = "^0.0.1"
 charset-normalizer = "^3.1.0"
 chromadb = "^0.4.10"
 click = "*"
@@ -326,6 +298,7 @@ colorama = "^0.4.6"
 demjson3 = "^3.0.0"
 docker = "*"
 duckduckgo-search = "^6.1.7"
+en-core-web-sm = {url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl"}
 fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 google-api-python-client = "*"
@@ -354,7 +327,7 @@ sqlalchemy = "^2.0.19"
 tenacity = "^8.2.2"
 tiktoken = ">=0.7.0,<1.0.0"
 toml = "^0.10.2"
-uvicorn = "^0.23.2"
+uvicorn = ">=0.23.2,<1"
 watchdog = "4.0.0"
 webdriver-manager = "^4.0.1"
 
@@ -564,19 +537,6 @@ urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
 [package.extras]
 crt = ["awscrt (==0.19.19)"]
 
-[[package]]
-name = "bs4"
-version = "0.0.1"
-description = "Dummy package for Beautiful Soup"
-optional = false
-python-versions = "*"
-files = [
-    {file = "bs4-0.0.1.tar.gz", hash = "sha256:36ecea1fd7cc5c0c6e4a1ff075df26d50da647b75376626cc186e2212886dd3a"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-
 [[package]]
 name = "build"
 version = "1.0.3"
@@ -708,17 +668,6 @@ files = [
     {file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
 ]
 
-[[package]]
-name = "chardet"
-version = "5.2.0"
-description = "Universal encoding detector for Python 3"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "chardet-5.2.0-py3-none-any.whl", hash = "sha256:e1cf59446890a00105fe7b7912492ea04b6e6f06d4b742b2c788469e34c82970"},
-    {file = "chardet-5.2.0.tar.gz", hash = "sha256:1b3b6ff479a8c414bc3fa2c0852995695c4a026dcd6d0633b2dd092ca39c1cf7"},
-]
-
 [[package]]
 name = "charset-normalizer"
 version = "3.3.2"
@@ -1119,17 +1068,6 @@ tomli = {version = "*", optional = true, markers = "python_full_version <= \"3.1
 [package.extras]
 toml = ["tomli"]
 
-[[package]]
-name = "cssselect"
-version = "1.2.0"
-description = "cssselect parses CSS3 Selectors and translates them to XPath 1.0"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "cssselect-1.2.0-py2.py3-none-any.whl", hash = "sha256:da1885f0c10b60c03ed5eccbb6b68d6eff248d91976fcde348f395d54c9fd35e"},
-    {file = "cssselect-1.2.0.tar.gz", hash = "sha256:666b19839cfaddb9ce9d36bfe4c969132c647b92fc9088c4e23f786b30f1b3dc"},
-]
-
 [[package]]
 name = "cx_Freeze"
 version = "7.1.1"
@@ -1694,20 +1632,6 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
-[[package]]
-name = "ftfy"
-version = "6.1.3"
-description = "Fixes mojibake and other problems with Unicode, after the fact"
-optional = false
-python-versions = ">=3.8,<4"
-files = [
-    {file = "ftfy-6.1.3-py3-none-any.whl", hash = "sha256:e49c306c06a97f4986faa7a8740cfe3c13f3106e85bcec73eb629817e671557c"},
-    {file = "ftfy-6.1.3.tar.gz", hash = "sha256:693274aead811cff24c1e8784165aa755cd2f6e442a5ec535c7d697f6422a422"},
-]
-
-[package.dependencies]
-wcwidth = ">=0.2.12,<0.3.0"
-
 [[package]]
 name = "gitdb"
 version = "4.0.11"
@@ -2525,17 +2449,6 @@ files = [
 docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 testing = ["pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-ruff", "zipp (>=3.17)"]
 
-[[package]]
-name = "inflection"
-version = "0.5.1"
-description = "A port of Ruby on Rails inflector to Python"
-optional = false
-python-versions = ">=3.5"
-files = [
-    {file = "inflection-0.5.1-py2.py3-none-any.whl", hash = "sha256:f38b2b640938a4f35ade69ac3d053042959b62a0f1076a5bbaa1b9526605a8a2"},
-    {file = "inflection-0.5.1.tar.gz", hash = "sha256:1a29730d366e996aaacffb2f1f1cb9593dc38e2ddd30c91250c6dde09ea9b417"},
-]
-
 [[package]]
 name = "iniconfig"
 version = "2.0.0"
@@ -3594,31 +3507,6 @@ typing-extensions = ">=4.7,<5"
 [package.extras]
 datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
-[[package]]
-name = "openapi-python-client"
-version = "0.14.1"
-description = "Generate modern Python clients from OpenAPI"
-optional = false
-python-versions = ">=3.8,<4.0"
-files = [
-    {file = "openapi_python_client-0.14.1-py3-none-any.whl", hash = "sha256:765d16b5566bb03941f871b8bf493e2a3191f4cc96e8c7b4f337bd584619b78d"},
-    {file = "openapi_python_client-0.14.1.tar.gz", hash = "sha256:13574d2f3acbccea615364e8e49789829fce254d2123a0a9c0918f36b7368018"},
-]
-
-[package.dependencies]
-attrs = ">=21.3.0"
-autoflake = ">=1.4,<3.0.0"
-black = ">=23"
-colorama = {version = ">=0.4.3,<0.5.0", markers = "sys_platform == \"win32\""}
-httpx = ">=0.15.4,<0.25.0"
-isort = ">=5.0.5,<6.0.0"
-jinja2 = ">=3.0.0,<4.0.0"
-pydantic = ">=1.6.1,<2.0.0"
-python-dateutil = ">=2.8.1,<3.0.0"
-PyYAML = ">=6.0,<7.0"
-shellingham = ">=1.3.2,<2.0.0"
-typer = ">0.6,<0.10"
-
 [[package]]
 name = "opentelemetry-api"
 version = "1.22.0"
@@ -4305,87 +4193,6 @@ files = [
 [package.extras]
 test = ["enum34", "ipaddress", "mock", "pywin32", "wmi"]
 
-[[package]]
-name = "psycopg2-binary"
-version = "2.9.9"
-description = "psycopg2 - Python-PostgreSQL Database Adapter"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "psycopg2-binary-2.9.9.tar.gz", hash = "sha256:7f01846810177d829c7692f1f5ada8096762d9172af1b1a28d4ab5b77c923c1c"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c2470da5418b76232f02a2fcd2229537bb2d5a7096674ce61859c3229f2eb202"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:c6af2a6d4b7ee9615cbb162b0738f6e1fd1f5c3eda7e5da17861eacf4c717ea7"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:75723c3c0fbbf34350b46a3199eb50638ab22a0228f93fb472ef4d9becc2382b"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:83791a65b51ad6ee6cf0845634859d69a038ea9b03d7b26e703f94c7e93dbcf9"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:0ef4854e82c09e84cc63084a9e4ccd6d9b154f1dbdd283efb92ecd0b5e2b8c84"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed1184ab8f113e8d660ce49a56390ca181f2981066acc27cf637d5c1e10ce46e"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d2997c458c690ec2bc6b0b7ecbafd02b029b7b4283078d3b32a852a7ce3ddd98"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:b58b4710c7f4161b5e9dcbe73bb7c62d65670a87df7bcce9e1faaad43e715245"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:0c009475ee389757e6e34611d75f6e4f05f0cf5ebb76c6037508318e1a1e0d7e"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8dbf6d1bc73f1d04ec1734bae3b4fb0ee3cb2a493d35ede9badbeb901fb40f6f"},
-    {file = "psycopg2_binary-2.9.9-cp310-cp310-win32.whl", hash = "sha256:3f78fd71c4f43a13d342be74ebbc0666fe1f555b8837eb113cb7416856c79682"},
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-    {file = "psycopg2_binary-2.9.9-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:1ea665f8ce695bcc37a90ee52de7a7980be5161375d42a0b6c6abedbf0d81f0f"},
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 name = "typing-extensions"
 version = "4.9.0"
@@ -6626,7 +6325,7 @@ anyio = ">=3.0.0"
 name = "wcwidth"
 version = "0.2.13"
 description = "Measures the displayed width of unicode strings in a terminal"
-optional = false
+optional = true
 python-versions = "*"
 files = [
     {file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
@@ -6999,4 +6698,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "0f198975b29b94700bd4b0179ebb285f4e12c2c5f408b0adb03916f06a064d15"
+content-hash = "fedcaea76d933574e26b853f42984c19428376369c75c6215c9d383ac3fda9c4"
diff --git a/autogpt/pyproject.toml b/autogpt/pyproject.toml
index b78ad9e699f8..4789b6f49159 100644
--- a/autogpt/pyproject.toml
+++ b/autogpt/pyproject.toml
@@ -20,22 +20,16 @@ serve = "autogpt.app.cli:serve"
 
 [tool.poetry.dependencies]
 python = "^3.10"
-anthropic = "^0.25.1"
 autogpt-forge = { path = "../forge", develop = true }
 # autogpt-forge = {git = "https://github.com/Significant-Gravitas/AutoGPT.git", subdirectory = "forge"}
 beautifulsoup4 = "^4.12.2"
-charset-normalizer = "^3.1.0"
 click = "*"
 colorama = "^0.4.6"
 distro = "^1.8.0"
-en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl" }
 fastapi = "^0.109.1"
-ftfy = "^6.1.1"
+gitpython = "^3.1.32"
 google-api-python-client = "*"
 hypercorn = "^0.14.4"
-inflection = "*"
-jsonschema = "*"
-numpy = "*"
 openai = "^1.7.2"
 orjson = "^3.8.10"
 Pillow = "*"
@@ -43,20 +37,12 @@ pydantic = "*"
 python-docx = "*"
 python-dotenv = "^1.0.0"
 pyyaml = "^6.0"
-readability-lxml = "^0.8.1"
 requests = "*"
 sentry-sdk = "^1.40.4"
-spacy = "^3.7.4"
-tenacity = "^8.2.2"
-
-# OpenAI and Generic plugins import
-openapi-python-client = "^0.14.0"
 
 # Benchmarking
 agbenchmark = { path = "../benchmark", optional = true }
 # agbenchmark = {git = "https://github.com/Significant-Gravitas/AutoGPT.git", subdirectory = "benchmark", optional = true}
-psycopg2-binary = "^2.9.9"
-multidict = "6.0.5"
 cx-freeze = { git = "https://github.com/ntindle/cx_Freeze.git", rev = "main", develop = true }
 
 [tool.poetry.extras]
@@ -65,23 +51,19 @@ benchmark = ["agbenchmark"]
 [tool.poetry.group.dev.dependencies]
 black = "^23.12.1"
 flake8 = "^7.0.0"
-gitpython = "^3.1.32"
 isort = "^5.13.1"
 pre-commit = "*"
 pyright = "^1.1.364"
+
+# Type stubs
 types-beautifulsoup4 = "*"
 types-colorama = "*"
-types-Markdown = "*"
 types-Pillow = "*"
 
 # Testing
-asynctest = "*"
-coverage = "*"
 pytest = "*"
 pytest-asyncio = "*"
-pytest-benchmark = "*"
 pytest-cov = "*"
-pytest-integration = "*"
 pytest-mock = "*"
 pytest-recording = "*"
 pytest-xdist = "*"
diff --git a/benchmark/poetry.lock b/benchmark/poetry.lock
index 441016002bf1..992adbc1f1e8 100644
--- a/benchmark/poetry.lock
+++ b/benchmark/poetry.lock
@@ -2628,31 +2628,6 @@ exceptiongroup = {version = "*", markers = "python_version < \"3.11\""}
 trio = ">=0.11"
 wsproto = ">=0.14"
 
-[[package]]
-name = "types-requests"
-version = "2.31.0.6"
-description = "Typing stubs for requests"
-optional = false
-python-versions = ">=3.7"
-files = [
-    {file = "types-requests-2.31.0.6.tar.gz", hash = "sha256:cd74ce3b53c461f1228a9b783929ac73a666658f223e28ed29753771477b3bd0"},
-    {file = "types_requests-2.31.0.6-py3-none-any.whl", hash = "sha256:a2db9cb228a81da8348b49ad6db3f5519452dd20a9c1e1a868c83c5fe88fd1a9"},
-]
-
-[package.dependencies]
-types-urllib3 = "*"
-
-[[package]]
-name = "types-urllib3"
-version = "1.26.25.14"
-description = "Typing stubs for urllib3"
-optional = false
-python-versions = "*"
-files = [
-    {file = "types-urllib3-1.26.25.14.tar.gz", hash = "sha256:229b7f577c951b8c1b92c1bc2b2fdb0b49847bd2af6d1cc2a2e3dd340f3bda8f"},
-    {file = "types_urllib3-1.26.25.14-py3-none-any.whl", hash = "sha256:9683bbb7fb72e32bfe9d2be6e04875fbe1b3eeec3cbb4ea231435aa7fd6b4f0e"},
-]
-
 [[package]]
 name = "typing-extensions"
 version = "4.9.0"
@@ -2864,4 +2839,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "b252cb57f23080c8e381a27c4ba8177ff541bbe98592270f923f2e61bae95323"
+content-hash = "e2f776ebc12fd879b0ad60ffff4a7eae23cbf21214bcf85c1e89167da51f9e44"
diff --git a/benchmark/pyproject.toml b/benchmark/pyproject.toml
index 9caaf7923d04..349972a3c469 100644
--- a/benchmark/pyproject.toml
+++ b/benchmark/pyproject.toml
@@ -9,44 +9,46 @@ packages = [{ include = "agbenchmark" }]
 
 [tool.poetry.dependencies]
 python = "^3.10"
-pytest = "^7.3.2"
-requests = "^2.31.0"
-openai = "^1.7.2"
-pydantic = "^1.10.9"
-python-dotenv = "^1.0.0"
+# helicone = "^1.0.9"  # incompatible with openai@^1.0.0
+agent-protocol-client = "^1.1.0"
 click = "^8.1.3"
-types-requests = "^2.31.0.1"
-pexpect = "^4.8.0"
-psutil = "^5.9.5"
-matplotlib = "^3.7.2"
-pandas = "^2.0.3"
+click-default-group = "^1.2.4"
+colorama = "^0.4.6"
+fastapi = "^0.109.1"
 gitpython = "^3.1.32"
+httpx = "^0.24.0"
+matplotlib = "^3.7.2"
 networkx = "^3.1"
-colorama = "^0.4.6"
-pyvis = "^0.3.2"
-selenium = "^4.11.2"
+openai = "^1.7.2"
+pandas = "^2.0.3"
+pexpect = "^4.8.0"
+psutil = "^5.9.5"
+pydantic = "^1.10.9"
+pytest = "^7.3.2"
 pytest-asyncio = "^0.23.3"
-uvicorn = "^0.23.2"
-fastapi = "^0.109.1"
+python-dotenv = "^1.0.0"
 python-multipart = "^0.0.7"
-toml = "^0.10.2"
-# helicone = "^1.0.9"  # incompatible with openai@^1.0.0
-httpx = "^0.24.0"
-agent-protocol-client = "^1.1.0"
-click-default-group = "^1.2.4"
+pyvis = "^0.3.2"
+requests = "^2.31.0"
+selenium = "^4.11.2"
 tabulate = "^0.9.0"
+toml = "^0.10.2"
+uvicorn = ">=0.23.2,<1"
 
 [tool.poetry.group.dev.dependencies]
 black = "^23.12.1"
 flake8 = "^7.0.0"
 isort = "^5.13.1"
 pyright = "^1.1.364"
-pandas = "^2.0.3"
-gspread = "^5.10.0"
-oauth2client = "^4.1.3"
 pre-commit = "^3.3.3"
+
+# Testing
 pytest-cov = "^5.0.0"
 
+# Dependencies for stuff in reports/
+gspread = "^5.10.0"
+oauth2client = "^4.1.3"
+
 [tool.poetry.scripts]
 agbenchmark = "agbenchmark.__main__:cli"
 
diff --git a/forge/poetry.lock b/forge/poetry.lock
index ca1ffcd743d0..15e11105e925 100644
--- a/forge/poetry.lock
+++ b/forge/poetry.lock
@@ -33,8 +33,7 @@ requests = "^2.31.0"
 selenium = "^4.11.2"
 tabulate = "^0.9.0"
 toml = "^0.10.2"
-types-requests = "^2.31.0.1"
-uvicorn = "^0.23.2"
+uvicorn = ">=0.23.2,<1"
 
 [package.source]
 type = "directory"
@@ -900,19 +899,6 @@ types-awscrt = "*"
 [package.extras]
 botocore = ["botocore"]
 
-[[package]]
-name = "bs4"
-version = "0.0.1"
-description = "Dummy package for Beautiful Soup"
-optional = false
-python-versions = "*"
-files = [
-    {file = "bs4-0.0.1.tar.gz", hash = "sha256:36ecea1fd7cc5c0c6e4a1ff075df26d50da647b75376626cc186e2212886dd3a"},
-]
-
-[package.dependencies]
-beautifulsoup4 = "*"
-
 [[package]]
 name = "build"
 version = "1.0.3"
@@ -1602,6 +1588,23 @@ pyreqwest-impersonate = ">=0.4.8"
 dev = ["mypy (>=1.10.0)", "pytest (>=8.2.2)", "pytest-asyncio (>=0.23.7)", "ruff (>=0.4.8)"]
 lxml = ["lxml (>=5.2.2)"]
 
+[[package]]
+name = "en-core-web-sm"
+version = "3.7.1"
+description = "English pipeline optimized for CPU. Components: tok2vec, tagger, parser, senter, ner, attribute_ruler, lemmatizer."
+optional = false
+python-versions = "*"
+files = [
+    {file = "en_core_web_sm-3.7.1-py3-none-any.whl", hash = "sha256:86cc141f63942d4b2c5fcee06630fd6f904788d2f0ab005cce45aadb8fb73889"},
+]
+
+[package.dependencies]
+spacy = ">=3.7.2,<3.8.0"
+
+[package.source]
+type = "url"
+url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl"
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.0"
@@ -4605,16 +4608,6 @@ typing-extensions = ">=4.2.0"
 dotenv = ["python-dotenv (>=0.10.4)"]
 email = ["email-validator (>=1.0.3)"]
 
-[[package]]
-name = "pydevd-pycharm"
-version = "233.13763.5"
-description = "PyCharm Debugger (used in PyCharm and PyDev)"
-optional = false
-python-versions = "*"
-files = [
-    {file = "pydevd-pycharm-233.13763.5.tar.gz", hash = "sha256:2585e3c8a0048f65a7276bb40805e851a76355ca6528523de8561f9369102fff"},
-]
-
 [[package]]
 name = "pyflakes"
 version = "3.2.0"
@@ -6179,6 +6172,42 @@ files = [
     {file = "types_awscrt-0.20.9.tar.gz", hash = "sha256:64898a2f4a2468f66233cb8c29c5f66de907cf80ba1ef5bb1359aef2f81bb521"},
 ]
 
+[[package]]
+name = "types-beautifulsoup4"
+version = "4.12.0.20240511"
+description = "Typing stubs for beautifulsoup4"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-beautifulsoup4-4.12.0.20240511.tar.gz", hash = "sha256:004f6096fdd83b19cdbf6cb10e4eae57b10205eccc365d0a69d77da836012e28"},
+    {file = "types_beautifulsoup4-4.12.0.20240511-py3-none-any.whl", hash = "sha256:7ceda66a93ba28d759d5046d7fec9f4cad2f563a77b3a789efc90bcadafeefd1"},
+]
+
+[package.dependencies]
+types-html5lib = "*"
+
+[[package]]
+name = "types-html5lib"
+version = "1.1.11.20240228"
+description = "Typing stubs for html5lib"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-html5lib-1.1.11.20240228.tar.gz", hash = "sha256:22736b7299e605ec4ba539d48691e905fd0c61c3ea610acc59922232dc84cede"},
+    {file = "types_html5lib-1.1.11.20240228-py3-none-any.whl", hash = "sha256:af5de0125cb0fe5667543b158db83849b22e25c0e36c9149836b095548bf1020"},
+]
+
+[[package]]
+name = "types-pillow"
+version = "10.2.0.20240520"
+description = "Typing stubs for Pillow"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "types-Pillow-10.2.0.20240520.tar.gz", hash = "sha256:130b979195465fa1e1676d8e81c9c7c30319e8e95b12fae945e8f0d525213107"},
+    {file = "types_Pillow-10.2.0.20240520-py3-none-any.whl", hash = "sha256:33c36494b380e2a269bb742181bea5d9b00820367822dbd3760f07210a1da23d"},
+]
+
 [[package]]
 name = "types-requests"
 version = "2.31.0.6"
@@ -6862,4 +6891,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "970e0207fb787dd11f7b721a17c03bb2f42c2bd54d6ea71446da440b5295ae24"
+content-hash = "9cf84334ccdd6c388899d49a7a7f341a92ac3b3a85f558d0035ee44462ec7f38"
diff --git a/forge/pyproject.toml b/forge/pyproject.toml
index afdf46a11c64..8f3a70182c58 100644
--- a/forge/pyproject.toml
+++ b/forge/pyproject.toml
@@ -15,7 +15,6 @@ aiohttp = "^3.8.5"
 anthropic = "^0.25.1"
 beautifulsoup4 = "^4.12.2"
 boto3 = "^1.33.6"
-bs4 = "^0.0.1"
 charset-normalizer = "^3.1.0"
 chromadb = "^0.4.10"
 click = "*"
@@ -23,6 +22,7 @@ colorama = "^0.4.6"
 demjson3 = "^3.0.0"
 docker = "*"
 duckduckgo-search = "^6.1.7"
+en-core-web-sm = { url = "https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.7.1/en_core_web_sm-3.7.1-py3-none-any.whl" }
 fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 google-api-python-client = "*"
@@ -51,7 +51,7 @@ spacy = "^3.0.0"
 tenacity = "^8.2.2"
 tiktoken = ">=0.7.0,<1.0.0"
 toml = "^0.10.2"
-uvicorn = "^0.23.2"
+uvicorn = ">=0.23.2,<1"
 watchdog = "4.0.0"
 webdriver-manager = "^4.0.1"
 
@@ -64,13 +64,18 @@ flake8 = "^7.0.0"
 isort = "^5.13.1"
 pyright = "^1.1.364"
 pre-commit = "^3.3.3"
+
+# Type stubs
 boto3-stubs = { extras = ["s3"], version = "^1.33.6" }
+types-beautifulsoup4 = "*"
+types-Pillow = "*"
 types-requests = "^2.31.0.2"
+
+# Testing
 pytest = "^7.4.0"
 pytest-asyncio = "^0.23.3"
 pytest-cov = "^5.0.0"
 mock = "^5.1.0"
-pydevd-pycharm = "^233.6745.319"
 
 
 [build-system]

From d5ab83aa34cdcb970c5b25b38681ef1783f68f17 Mon Sep 17 00:00:00 2001
From: Bently <tomnoon9@gmail.com>
Date: Fri, 28 Jun 2024 10:39:26 +0100
Subject: [PATCH 16/23] Updating api calls in AutoGPT builder (#7275)

* update api endpoints

* get multi-node working + fix node output

* updated multi-node running + re-add "wire" on rebuild

* Fix node data mapping

* removed getStatusValue
---
 .../src/components/CustomNode.tsx             |  1 +
 rnd/autogpt_builder/src/components/Flow.tsx   | 95 +++++++++----------
 2 files changed, 47 insertions(+), 49 deletions(-)

diff --git a/rnd/autogpt_builder/src/components/CustomNode.tsx b/rnd/autogpt_builder/src/components/CustomNode.tsx
index f401efbf548f..74cf1c230317 100644
--- a/rnd/autogpt_builder/src/components/CustomNode.tsx
+++ b/rnd/autogpt_builder/src/components/CustomNode.tsx
@@ -166,6 +166,7 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
     }
   };
 
+
   return (
     <div className="custom-node">
       <div className="node-header">
diff --git a/rnd/autogpt_builder/src/components/Flow.tsx b/rnd/autogpt_builder/src/components/Flow.tsx
index 8a0191b3b11e..aebd99c7f295 100644
--- a/rnd/autogpt_builder/src/components/Flow.tsx
+++ b/rnd/autogpt_builder/src/components/Flow.tsx
@@ -119,12 +119,12 @@ const Flow: React.FC = () => {
         nds.map((node) => {
           if (node.id === connection.source) {
             const connections = node.data.connections || [];
-            connections.push(`${node.data.title} ${connection.sourceHandle} -> ${connection.targetHandle}`);
+            connections.push(`${node.data.title} ${connection.sourceHandle} -> ${connection.target}`);
             return { ...node, data: { ...node.data, connections } };
           }
           if (node.id === connection.target) {
             const connections = node.data.connections || [];
-            connections.push(`${connection.sourceHandle} -> ${node.data.title} ${connection.targetHandle}`);
+            connections.push(`${connection.source} -> ${node.data.title} ${connection.targetHandle}`);
             return { ...node, data: { ...node.data, connections } };
           }
           return node;
@@ -214,18 +214,17 @@ const Flow: React.FC = () => {
 
     let inputData: { [key: string]: any } = {};
     const inputProperties = nodeSchema.inputSchema.properties;
-    const requiredProperties = nodeSchema.inputSchema.required || [];
-
-    // Initialize inputData with default values for all required properties
-    requiredProperties.forEach(prop => {
-      inputData[prop] = node.data.hardcodedValues[prop] || '';
-    });
 
     Object.keys(inputProperties).forEach(prop => {
-      const inputEdge = allEdges.find(edge => edge.target === node.id && edge.targetHandle === prop);
-      if (inputEdge) {
-        const sourceNode = allNodes.find(n => n.id === inputEdge.source);
-        inputData[prop] = sourceNode?.data.output_data || sourceNode?.data.hardcodedValues[prop] || '';
+      const inputEdges = allEdges.filter(edge => edge.target === node.id && edge.targetHandle === prop);
+      if (inputEdges.length > 0) {
+        const sourceNode = allNodes.find(n => n.id === inputEdges[0].source);
+        if (sourceNode && sourceNode.data.output_data) {
+          // Map the output of the source node to the input of the target node
+          const sourceOutput = sourceNode.data.output_data;
+          const outputKey = Object.keys(sourceOutput)[0]; // Assume first output key
+          inputData[prop] = sourceOutput[outputKey];
+        }
       } else if (node.data.hardcodedValues && node.data.hardcodedValues[prop]) {
         inputData[prop] = node.data.hardcodedValues[prop];
       }
@@ -255,25 +254,31 @@ const Flow: React.FC = () => {
 
   const runAgent = async () => {
     try {
-      const formattedNodes = nodes.map(node => ({
-        id: node.id,
-        block_id: node.data.block_id,
-        input_default: prepareNodeInputData(node, nodes, edges),
-        input_nodes: edges.filter(edge => edge.target === node.id).reduce((acc, edge) => {
-          if (edge.targetHandle) {
-            acc[edge.targetHandle] = edge.source;
-          }
-          return acc;
-        }, {} as { [key: string]: string }),
-        output_nodes: edges.filter(edge => edge.source === node.id).reduce((acc, edge) => {
-          if (edge.sourceHandle) {
-            acc[edge.sourceHandle] = edge.target;
-          }
-          return acc;
-        }, {} as { [key: string]: string }),
-        metadata: node.data.metadata,
-        connections: node.data.connections // Ensure connections are preserved
-      }));
+      const formattedNodes = nodes.map(node => {
+        const inputDefault = prepareNodeInputData(node, nodes, edges);
+        const inputNodes = edges
+          .filter(edge => edge.target === node.id)
+          .map(edge => ({
+            name: edge.targetHandle || '',
+            node_id: edge.source,
+          }));
+
+        const outputNodes = edges
+          .filter(edge => edge.source === node.id)
+          .map(edge => ({
+            name: edge.sourceHandle || '',
+            node_id: edge.target,
+          }));
+
+        return {
+          id: node.id,
+          block_id: node.data.block_id,
+          input_default: inputNodes.length === 0 ? inputDefault : {},
+          input_nodes: inputNodes,
+          output_nodes: outputNodes,
+          metadata: node.data.metadata
+        };
+      });
 
       const payload = {
         id: '',
@@ -282,7 +287,7 @@ const Flow: React.FC = () => {
         nodes: formattedNodes,
       };
 
-      const createResponse = await fetch(`${apiUrl}/agents`, {
+      const createResponse = await fetch(`${apiUrl}/graphs`, {
         method: 'POST',
         headers: {
           'Content-Type': 'application/json',
@@ -300,13 +305,6 @@ const Flow: React.FC = () => {
 
       const responseNodes = createData.nodes.map((node: any) => {
         const block = availableNodes.find(n => n.id === node.block_id);
-        const connections = edges.filter(edge => edge.source === node.id || edge.target === node.id).map(edge => ({
-          id: edge.id,
-          source: edge.source,
-          sourceHandle: edge.sourceHandle,
-          target: edge.target,
-          targetHandle: edge.targetHandle
-        }));
         return {
           id: node.id,
           type: 'custom',
@@ -317,7 +315,7 @@ const Flow: React.FC = () => {
             description: `${block?.description || ''}`,
             inputSchema: block?.inputSchema,
             outputSchema: block?.outputSchema,
-            connections: connections.map(c => `${c.source}-${c.sourceHandle} -> ${c.target}-${c.targetHandle}`),
+            connections: node.input_nodes.map((input: any) => `${input.node_id}-${input.name} -> ${node.id}`),
             variableName: '',
             variableValue: '',
             printVariable: '',
@@ -339,12 +337,12 @@ const Flow: React.FC = () => {
       });
 
       const newEdges = createData.nodes.flatMap((node: any) => {
-        return Object.entries(node.output_nodes).map(([sourceHandle, targetNodeId]) => ({
-          id: `${node.id}-${sourceHandle}-${targetNodeId}`,
+        return node.output_nodes.map((outputNode: { name: string; node_id: string }) => ({
+          id: `${node.id}-${outputNode.name}-${outputNode.node_id}`,
           source: node.id,
-          sourceHandle: sourceHandle,
-          target: targetNodeId,
-          targetHandle: Object.keys(node.input_nodes).find(key => node.input_nodes[key] === targetNodeId) || '',
+          sourceHandle: outputNode.name,
+          target: outputNode.node_id,
+          targetHandle: node.input_nodes.find((inputNode: { name: string; node_id: string }) => inputNode.node_id === outputNode.node_id)?.name || '',
         }));
       });
 
@@ -367,7 +365,7 @@ const Flow: React.FC = () => {
         return acc;
       }, {} as { [key: string]: any });
 
-      const executeResponse = await fetch(`${apiUrl}/agents/${agentId}/execute`, {
+      const executeResponse = await fetch(`${apiUrl}/graphs/${agentId}/execute`, {
         method: 'POST',
         headers: {
           'Content-Type': 'application/json',
@@ -380,8 +378,7 @@ const Flow: React.FC = () => {
       }
 
       const executeData = await executeResponse.json();
-      const runId = executeData.run_id;
-
+      const runId = executeData.id; // Correctly capturing runId from executeData
       const startPolling = () => {
         const endTime = Date.now() + 60000;
 
@@ -392,7 +389,7 @@ const Flow: React.FC = () => {
           }
 
           try {
-            const response = await fetch(`${apiUrl}/agents/${agentId}/executions/${runId}`);
+            const response = await fetch(`${apiUrl}/graphs/${agentId}/executions/${runId}`);
             if (!response.ok) {
               throw new Error(`HTTP error! Status: ${response.status}`);
             }

From 976ea7cd3c28ccbbcbd1d613c6937d6ceb3173c8 Mon Sep 17 00:00:00 2001
From: angeousta <132761637+angeousta@users.noreply.github.com>
Date: Mon, 1 Jul 2024 09:44:46 +0200
Subject: [PATCH 17/23] fix readme (broken link) (#7293)

Update README.md
---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 2e7e0893f1bb..2fb22a775b3f 100644
--- a/README.md
+++ b/README.md
@@ -24,7 +24,7 @@ Be part of the revolution! **AutoGPT** is here to stay, at the forefront of AI i
 &ensp;|&ensp;
 **🚀 [Contributing](CONTRIBUTING.md)**
 &ensp;|&ensp;
-**🛠️ [Build your own Agent - Quickstart](QUICKSTART.md)**
+**🛠️ [Build your own Agent - Quickstart](FORGE-QUICKSTART.md)**
 
 ## 🧱 Building blocks
 

From 2fa4fd23aface1f30778e876b4ca0601fc36a69b Mon Sep 17 00:00:00 2001
From: Reinier van der Leer <pwuts@agpt.co>
Date: Tue, 2 Jul 2024 02:08:02 +0200
Subject: [PATCH 18/23] fix(agent): Make build dependencies optional to unbreak
 install (#7298)

* Create optional `build` dependency group
* Move `cx-freeze` dependency to `build` dependency group

To include the `build` group when installing dependencies, run `poetry install --with=build`.

Fixes #7297 (`cx-freeze` dependency install fails after #7271)
---
 autogpt/poetry.lock    | 2 +-
 autogpt/pyproject.toml | 9 ++++++++-
 2 files changed, 9 insertions(+), 2 deletions(-)

diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock
index 7758a6e229f3..9742ed6b7287 100644
--- a/autogpt/poetry.lock
+++ b/autogpt/poetry.lock
@@ -6698,4 +6698,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "fedcaea76d933574e26b853f42984c19428376369c75c6215c9d383ac3fda9c4"
+content-hash = "635471a4231272ee37bbc8f6f94fcc5d7ddc392969e54599453ac08889193a8d"
diff --git a/autogpt/pyproject.toml b/autogpt/pyproject.toml
index 4789b6f49159..b28904727791 100644
--- a/autogpt/pyproject.toml
+++ b/autogpt/pyproject.toml
@@ -43,7 +43,6 @@ sentry-sdk = "^1.40.4"
 # Benchmarking
 agbenchmark = { path = "../benchmark", optional = true }
 # agbenchmark = {git = "https://github.com/Significant-Gravitas/AutoGPT.git", subdirectory = "benchmark", optional = true}
-cx-freeze = { git = "https://github.com/ntindle/cx_Freeze.git", rev = "main", develop = true }
 
 [tool.poetry.extras]
 benchmark = ["agbenchmark"]
@@ -69,6 +68,14 @@ pytest-recording = "*"
 pytest-xdist = "*"
 vcrpy = { git = "https://github.com/Significant-Gravitas/vcrpy.git", rev = "master" }
 
+[tool.poetry.group.build]
+optional = true
+
+[tool.poetry.group.build.dependencies]
+cx-freeze = { git = "https://github.com/ntindle/cx_Freeze.git", rev = "main" }
+# HACK: switch to cx-freeze release package after #2442 and #2472 are merged: https://github.com/marcelotduarte/cx_Freeze/pulls?q=is:pr+%232442+OR+%232472+
+# cx-freeze = { version = "^7.2.0", optional = true }
+
 
 [build-system]
 requires = ["poetry-core"]

From 97e4cceb94399010e10a62b9749e3befe44e5731 Mon Sep 17 00:00:00 2001
From: Reinier van der Leer <pwuts@agpt.co>
Date: Tue, 2 Jul 2024 03:47:55 +0200
Subject: [PATCH 19/23] feat(agent, forge): Markdown-formatted history ->
 message history (#7228)

- Implement message based history in `ActionHistoryComponent`
- Make non-summarized message count configurable (`ActionHistoryComponent.full_message_count`)
- Run `ActionHistoryComponent` after `SystemComponent` so that history messages are last in the prompt
- Omit final instruction message if prompt already contains assistant messages
- Filter `raw_message` from `ActionProposal.schema()`

---------

Co-authored-by: Krzysztof Czerwinski <kpczerwinski@gmail.com>
---
 autogpt/autogpt/agents/agent.py               | 20 +++--
 .../agents/prompt_strategies/one_shot.py      |  1 +
 .../forge/components/built-in-components.md   |  1 +
 forge/forge/agent/forge_agent.py              |  5 +-
 .../action_history/action_history.py          | 89 +++++++++++++++++--
 forge/forge/models/action.py                  | 20 ++++-
 6 files changed, 118 insertions(+), 18 deletions(-)

diff --git a/autogpt/autogpt/agents/agent.py b/autogpt/autogpt/agents/agent.py
index f3d7fc202b90..650589a0b50f 100644
--- a/autogpt/autogpt/agents/agent.py
+++ b/autogpt/autogpt/agents/agent.py
@@ -111,14 +111,18 @@ def __init__(
 
         # Components
         self.system = SystemComponent()
-        self.history = ActionHistoryComponent(
-            settings.history,
-            lambda x: self.llm_provider.count_tokens(x, self.llm.name),
-            llm_provider,
-            ActionHistoryConfiguration(
-                model_name=app_config.fast_llm, max_tokens=self.send_token_limit
-            ),
-        ).run_after(WatchdogComponent)
+        self.history = (
+            ActionHistoryComponent(
+                settings.history,
+                lambda x: self.llm_provider.count_tokens(x, self.llm.name),
+                llm_provider,
+                ActionHistoryConfiguration(
+                    model_name=app_config.fast_llm, max_tokens=self.send_token_limit
+                ),
+            )
+            .run_after(WatchdogComponent)
+            .run_after(SystemComponent)
+        )
         if not app_config.noninteractive_mode:
             self.user_interaction = UserInteractionComponent()
         self.file_manager = FileManagerComponent(file_storage, settings)
diff --git a/autogpt/autogpt/agents/prompt_strategies/one_shot.py b/autogpt/autogpt/agents/prompt_strategies/one_shot.py
index 620f39c0846b..d232e1ee820b 100644
--- a/autogpt/autogpt/agents/prompt_strategies/one_shot.py
+++ b/autogpt/autogpt/agents/prompt_strategies/one_shot.py
@@ -275,4 +275,5 @@ def parse_response_content(
             assistant_reply_dict["use_tool"] = response.tool_calls[0].function
 
         parsed_response = OneShotAgentActionProposal.parse_obj(assistant_reply_dict)
+        parsed_response.raw_message = response.copy()
         return parsed_response
diff --git a/docs/content/forge/components/built-in-components.md b/docs/content/forge/components/built-in-components.md
index ceed5f3e15fe..4a34117191fa 100644
--- a/docs/content/forge/components/built-in-components.md
+++ b/docs/content/forge/components/built-in-components.md
@@ -81,6 +81,7 @@ Keeps track of agent's actions and their outcomes. Provides their summary to the
 | `model_name`           | Name of the llm model used to compress the history      | `ModelName` | `"gpt-3.5-turbo"`  |
 | `max_tokens`           | Maximum number of tokens to use for the history summary | `int`       | `1024`             |
 | `spacy_language_model` | Language model used for summary chunking using spacy    | `str`       | `"en_core_web_sm"` |
+| `full_message_count`   | Number of cycles to include unsummarized in the prompt  | `int`       | `4`                |
 
 **MessageProvider**
 
diff --git a/forge/forge/agent/forge_agent.py b/forge/forge/agent/forge_agent.py
index 2eb6710dd554..f494ccb56723 100644
--- a/forge/forge/agent/forge_agent.py
+++ b/forge/forge/agent/forge_agent.py
@@ -24,7 +24,7 @@
 from forge.file_storage.base import FileStorage
 from forge.llm.prompting.schema import ChatPrompt
 from forge.llm.prompting.utils import dump_prompt
-from forge.llm.providers.schema import AssistantFunctionCall
+from forge.llm.providers.schema import AssistantChatMessage, AssistantFunctionCall
 from forge.llm.providers.utils import function_specs_from_commands
 from forge.models.action import (
     ActionErrorResult,
@@ -178,6 +178,9 @@ async def propose_action(self) -> ActionProposal:
             use_tool=AssistantFunctionCall(
                 name="finish", arguments={"reason": "Unimplemented logic"}
             ),
+            raw_message=AssistantChatMessage(
+                content="finish(reason='Unimplemented logic')"
+            ),
         )
 
         self.config.cycle_count += 1
diff --git a/forge/forge/components/action_history/action_history.py b/forge/forge/components/action_history/action_history.py
index ce07bcfa5c44..cd9ffcd4910e 100644
--- a/forge/forge/components/action_history/action_history.py
+++ b/forge/forge/components/action_history/action_history.py
@@ -10,6 +10,7 @@
 from forge.llm.providers import ChatMessage, MultiProvider
 from forge.llm.providers.multi import ModelName
 from forge.llm.providers.openai import OpenAIModelName
+from forge.llm.providers.schema import ToolResultMessage
 
 from .model import ActionResult, AnyProposal, Episode, EpisodicActionHistory
 
@@ -21,6 +22,8 @@ class ActionHistoryConfiguration(BaseModel):
     """Maximum number of tokens to use up with generated history messages"""
     spacy_language_model: str = "en_core_web_sm"
     """Language model used for summary chunking using spacy"""
+    full_message_count: int = 4
+    """Number of latest non-summarized messages to include in the history"""
 
 
 class ActionHistoryComponent(
@@ -46,12 +49,47 @@ def __init__(
         self.llm_provider = llm_provider
 
     def get_messages(self) -> Iterator[ChatMessage]:
-        if progress := self._compile_progress(
-            self.event_history.episodes,
-            self.config.max_tokens,
-            self.count_tokens,
-        ):
-            yield ChatMessage.system(f"## Progress on your Task so far\n\n{progress}")
+        messages: list[ChatMessage] = []
+        step_summaries: list[str] = []
+        tokens: int = 0
+        n_episodes = len(self.event_history.episodes)
+
+        # Include a summary for all except a few latest steps
+        for i, episode in enumerate(reversed(self.event_history.episodes)):
+            # Use full format for a few steps, summary or format for older steps
+            if i < self.config.full_message_count:
+                messages.insert(0, episode.action.raw_message)
+                tokens += self.count_tokens(str(messages[0]))  # HACK
+                if episode.result:
+                    result_message = self._make_result_message(episode, episode.result)
+                    messages.insert(1, result_message)
+                    tokens += self.count_tokens(str(result_message))  # HACK
+                continue
+            elif episode.summary is None:
+                step_content = indent(episode.format(), 2).strip()
+            else:
+                step_content = episode.summary
+
+            step = f"* Step {n_episodes - i}: {step_content}"
+
+            if self.config.max_tokens and self.count_tokens:
+                step_tokens = self.count_tokens(step)
+                if tokens + step_tokens > self.config.max_tokens:
+                    break
+                tokens += step_tokens
+
+            step_summaries.insert(0, step)
+
+        if step_summaries:
+            step_summaries_fmt = "\n\n".join(step_summaries)
+            yield ChatMessage.system(
+                f"## Progress on your Task so far\n"
+                "Here is a summary of the steps that you have executed so far, "
+                "use this as your consideration for determining the next action!\n"
+                f"{step_summaries_fmt}"
+            )
+
+        yield from messages
 
     def after_parse(self, result: AnyProposal) -> None:
         self.event_history.register_action(result)
@@ -62,6 +100,41 @@ async def after_execute(self, result: ActionResult) -> None:
             self.llm_provider, self.config.model_name, self.config.spacy_language_model
         )
 
+    @staticmethod
+    def _make_result_message(episode: Episode, result: ActionResult) -> ChatMessage:
+        if result.status == "success":
+            return (
+                ToolResultMessage(
+                    content=str(result.outputs),
+                    tool_call_id=episode.action.raw_message.tool_calls[0].id,
+                )
+                if episode.action.raw_message.tool_calls
+                else ChatMessage.user(
+                    f"{episode.action.use_tool.name} returned: "
+                    + (
+                        f"```\n{result.outputs}\n```"
+                        if "\n" in str(result.outputs)
+                        else f"`{result.outputs}`"
+                    )
+                )
+            )
+        elif result.status == "error":
+            return (
+                ToolResultMessage(
+                    content=f"{result.reason}\n\n{result.error or ''}".strip(),
+                    is_error=True,
+                    tool_call_id=episode.action.raw_message.tool_calls[0].id,
+                )
+                if episode.action.raw_message.tool_calls
+                else ChatMessage.user(
+                    f"{episode.action.use_tool.name} raised an error: ```\n"
+                    f"{result.reason}\n"
+                    "```"
+                )
+            )
+        else:
+            return ChatMessage.user(result.feedback)
+
     def _compile_progress(
         self,
         episode_history: list[Episode[AnyProposal]],
@@ -76,8 +149,8 @@ def _compile_progress(
         n_episodes = len(episode_history)
 
         for i, episode in enumerate(reversed(episode_history)):
-            # Use full format for the latest 4 steps, summary or format for older steps
-            if i < 4 or episode.summary is None:
+            # Use full format for a few latest steps, summary or format for older steps
+            if i < self.config.full_message_count or episode.summary is None:
                 step_content = indent(episode.format(), 2).strip()
             else:
                 step_content = episode.summary
diff --git a/forge/forge/models/action.py b/forge/forge/models/action.py
index 4acf7b97f8d0..61d23b1f9ff3 100644
--- a/forge/forge/models/action.py
+++ b/forge/forge/models/action.py
@@ -3,8 +3,9 @@
 from typing import Any, Literal, Optional, TypeVar
 
 from pydantic import BaseModel
+from pydantic.schema import default_ref_template
 
-from forge.llm.providers.schema import AssistantFunctionCall
+from forge.llm.providers.schema import AssistantChatMessage, AssistantFunctionCall
 
 from .utils import ModelWithSummary
 
@@ -13,6 +14,23 @@ class ActionProposal(BaseModel):
     thoughts: str | ModelWithSummary
     use_tool: AssistantFunctionCall
 
+    raw_message: AssistantChatMessage = None  # type: ignore
+    """
+    The message from which the action proposal was parsed. To be set by the parser.
+    """
+
+    @classmethod
+    def schema(
+        cls, by_alias: bool = True, ref_template: str = default_ref_template, **kwargs
+    ):
+        """
+        The schema for this ActionProposal model, excluding the 'raw_message' property.
+        """
+        schema = super().schema(by_alias=by_alias, ref_template=ref_template, **kwargs)
+        if "raw_message" in schema["properties"]:  # must check because schema is cached
+            del schema["properties"]["raw_message"]
+        return schema
+
 
 AnyProposal = TypeVar("AnyProposal", bound=ActionProposal)
 

From 8feaced92eb546fd2a5386ffc3c5daac48438a5e Mon Sep 17 00:00:00 2001
From: Aarushi <50577581+aarushik93@users.noreply.github.com>
Date: Tue, 2 Jul 2024 09:56:33 +0100
Subject: [PATCH 20/23] (rnd) Add support for multiple, dynamic inputs (#7296)

multi dynamic inputs
---
 .../src/components/CustomNode.tsx             | 233 ++++++-
 rnd/autogpt_builder/src/components/Flow.tsx   | 652 ++++++------------
 .../src/components/custominput.css            |   0
 .../src/components/customnode.css             | 128 ++--
 4 files changed, 492 insertions(+), 521 deletions(-)
 create mode 100644 rnd/autogpt_builder/src/components/custominput.css

diff --git a/rnd/autogpt_builder/src/components/CustomNode.tsx b/rnd/autogpt_builder/src/components/CustomNode.tsx
index 74cf1c230317..1c3f287f7460 100644
--- a/rnd/autogpt_builder/src/components/CustomNode.tsx
+++ b/rnd/autogpt_builder/src/components/CustomNode.tsx
@@ -10,11 +10,25 @@ type Schema = {
   required?: string[];
 };
 
-const CustomNode: FC<NodeProps> = ({ data, id }) => {
+type CustomNodeData = {
+  blockType: string;
+  title: string;
+  inputSchema: Schema;
+  outputSchema: Schema;
+  hardcodedValues: { [key: string]: any };
+  setHardcodedValues: (values: { [key: string]: any }) => void;
+  connections: Array<{ source: string; sourceHandle: string; target: string; targetHandle: string }>;
+  isPropertiesOpen: boolean;
+  status?: string;
+  output_data?: any;
+};
+
+const CustomNode: FC<NodeProps<CustomNodeData>> = ({ data, id }) => {
   const [isPropertiesOpen, setIsPropertiesOpen] = useState(data.isPropertiesOpen || false);
   const [isModalOpen, setIsModalOpen] = useState(false);
   const [activeKey, setActiveKey] = useState<string | null>(null);
   const [modalValue, setModalValue] = useState<string>('');
+  const [errors, setErrors] = useState<{ [key: string]: string | null }>({});
 
   useEffect(() => {
     if (data.output_data || data.status) {
@@ -22,6 +36,10 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
     }
   }, [data.output_data, data.status]);
 
+  useEffect(() => {
+    console.log(`Node ${id} data:`, data);
+  }, [id, data]);
+
   const toggleProperties = () => {
     setIsPropertiesOpen(!isPropertiesOpen);
   };
@@ -59,13 +77,49 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
 
   const handleInputChange = (key: string, value: any) => {
     const newValues = { ...data.hardcodedValues, [key]: value };
+    console.log(`Updating hardcoded values for node ${id}:`, newValues);
     data.setHardcodedValues(newValues);
+    setErrors((prevErrors) => ({ ...prevErrors, [key]: null }));
+  };
+
+  const validateInput = (key: string, value: any, schema: any) => {
+    switch (schema.type) {
+      case 'string':
+        if (schema.enum && !schema.enum.includes(value)) {
+          return `Invalid value for ${key}`;
+        }
+        break;
+      case 'boolean':
+        if (typeof value !== 'boolean') {
+          return `Invalid value for ${key}`;
+        }
+        break;
+      case 'number':
+        if (typeof value !== 'number') {
+          return `Invalid value for ${key}`;
+        }
+        break;
+      case 'array':
+        if (!Array.isArray(value) || value.some((item: any) => typeof item !== 'string')) {
+          return `Invalid value for ${key}`;
+        }
+        if (schema.minItems && value.length < schema.minItems) {
+          return `${key} requires at least ${schema.minItems} items`;
+        }
+        break;
+      default:
+        return null;
+    }
+    return null;
   };
 
   const isHandleConnected = (key: string) => {
-    return data.connections && data.connections.some((conn: string) => {
-      const [source, target] = conn.split(' -> ');
-      return target.includes(key) && target.includes(data.title);
+    return data.connections && data.connections.some((conn: any) => {
+      if (typeof conn === 'string') {
+        const [source, target] = conn.split(' -> ');
+        return target.includes(key) && target.includes(data.title);
+      }
+      return conn.target === id && conn.targetHandle === key;
     });
   };
 
@@ -83,7 +137,43 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
     setActiveKey(null);
   };
 
+  const addArrayItem = (key: string) => {
+    const currentValues = data.hardcodedValues[key] || [];
+    handleInputChange(key, [...currentValues, '']);
+  };
+
+  const removeArrayItem = (key: string, index: number) => {
+    const currentValues = data.hardcodedValues[key] || [];
+    currentValues.splice(index, 1);
+    handleInputChange(key, [...currentValues]);
+  };
+
+  const handleArrayItemChange = (key: string, index: number, value: string) => {
+    const currentValues = data.hardcodedValues[key] || [];
+    currentValues[index] = value;
+    handleInputChange(key, [...currentValues]);
+  };
+
+  const addDynamicTextInput = () => {
+    const dynamicKeyPrefix = 'texts_$_';
+    const currentKeys = Object.keys(data.hardcodedValues).filter(key => key.startsWith(dynamicKeyPrefix));
+    const nextIndex = currentKeys.length + 1;
+    const newKey = `${dynamicKeyPrefix}${nextIndex}`;
+    handleInputChange(newKey, '');
+  };
+
+  const removeDynamicTextInput = (key: string) => {
+    const newValues = { ...data.hardcodedValues };
+    delete newValues[key];
+    data.setHardcodedValues(newValues);
+  };
+
+  const handleDynamicTextInputChange = (key: string, value: string) => {
+    handleInputChange(key, value);
+  };
+
   const renderInputField = (key: string, schema: any) => {
+    const error = errors[key];
     switch (schema.type) {
       case 'string':
         return schema.enum ? (
@@ -99,12 +189,14 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
                 </option>
               ))}
             </select>
+            {error && <span className="error-message">{error}</span>}
           </div>
         ) : (
           <div key={key} className="input-container">
             <div className="clickable-input" onClick={() => handleInputClick(key)}>
               {data.hardcodedValues[key] || `Enter ${key}`}
             </div>
+            {error && <span className="error-message">{error}</span>}
           </div>
         );
       case 'boolean':
@@ -128,9 +220,9 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
               />
               False
             </label>
+            {error && <span className="error-message">{error}</span>}
           </div>
         );
-      case 'integer':
       case 'number':
         return (
           <div key={key} className="input-container">
@@ -140,23 +232,31 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
               onChange={(e) => handleInputChange(key, parseFloat(e.target.value))}
               className="number-input"
             />
+            {error && <span className="error-message">{error}</span>}
           </div>
         );
       case 'array':
-        if (schema.items && schema.items.type === 'string' && schema.items.enum) {
+        if (schema.items && schema.items.type === 'string') {
+          const arrayValues = data.hardcodedValues[key] || [];
           return (
             <div key={key} className="input-container">
-              <select
-                value={data.hardcodedValues[key] || ''}
-                onChange={(e) => handleInputChange(key, e.target.value)}
-                className="select-input"
-              >
-                {schema.items.enum.map((option: string) => (
-                  <option key={option} value={option}>
-                    {option}
-                  </option>
-                ))}
-              </select>
+              {arrayValues.map((item: string, index: number) => (
+                <div key={`${key}-${index}`} className="array-item-container">
+                  <input
+                    type="text"
+                    value={item}
+                    onChange={(e) => handleArrayItemChange(key, index, e.target.value)}
+                    className="array-item-input"
+                  />
+                  <button onClick={() => removeArrayItem(key, index)} className="array-item-remove">
+                    &times;
+                  </button>
+                </div>
+              ))}
+              <button onClick={() => addArrayItem(key)} className="array-item-add">
+                Add Item
+              </button>
+              {error && <span className="error-message">{error}</span>}
             </div>
           );
         }
@@ -166,11 +266,65 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
     }
   };
 
+  const renderDynamicTextFields = () => {
+    const dynamicKeyPrefix = 'texts_$_';
+    const dynamicKeys = Object.keys(data.hardcodedValues).filter(key => key.startsWith(dynamicKeyPrefix));
+
+    return dynamicKeys.map((key, index) => (
+      <div key={key} className="input-container">
+        <div className="handle-container">
+          <Handle
+            type="target"
+            position={Position.Left}
+            id={key}
+            style={{ background: '#555', borderRadius: '50%' }}
+          />
+          <span className="handle-label">{key}</span>
+          {!isHandleConnected(key) && (
+            <>
+              <input
+                type="text"
+                value={data.hardcodedValues[key]}
+                onChange={(e) => handleDynamicTextInputChange(key, e.target.value)}
+                className="dynamic-text-input"
+              />
+              <button onClick={() => removeDynamicTextInput(key)} className="array-item-remove">
+                &times;
+              </button>
+            </>
+          )}
+        </div>
+      </div>
+    ));
+  };
+
+  const validateInputs = () => {
+    const newErrors: { [key: string]: string | null } = {};
+    Object.keys(data.inputSchema.properties).forEach((key) => {
+      const value = data.hardcodedValues[key];
+      const schema = data.inputSchema.properties[key];
+      const error = validateInput(key, value, schema);
+      if (error) {
+        newErrors[key] = error;
+      }
+    });
+    setErrors(newErrors);
+    return Object.values(newErrors).every((error) => error === null);
+  };
+
+  const handleSubmit = () => {
+    if (validateInputs()) {
+      console.log("Valid data:", data.hardcodedValues);
+    } else {
+      console.log("Invalid data:", errors);
+    }
+  };
+
 
   return (
     <div className="custom-node">
       <div className="node-header">
-        <div className="node-title">{data?.title.replace(/\d+/g, '')}</div>
+        <div className="node-title">{data.blockType || data.title}</div>
         <button onClick={toggleProperties} className="toggle-button">
           &#9776;
         </button>
@@ -180,16 +334,36 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
           {data.inputSchema &&
             Object.keys(data.inputSchema.properties).map((key) => (
               <div key={key}>
-                <div className="handle-container">
-                  <Handle
-                    type="target"
-                    position={Position.Left}
-                    id={key}
-                    style={{ background: '#555', borderRadius: '50%' }}
-                  />
-                  <span className="handle-label">{key}</span>
-                </div>
-                {!isHandleConnected(key) && renderInputField(key, data.inputSchema.properties[key])}
+                {key !== 'texts' ? (
+                  <div>
+                    <div className="handle-container">
+                      <Handle
+                        type="target"
+                        position={Position.Left}
+                        id={key}
+                        style={{ background: '#555', borderRadius: '50%' }}
+                      />
+                      <span className="handle-label">{key}</span>
+                    </div>
+                    {!isHandleConnected(key) && renderInputField(key, data.inputSchema.properties[key])}
+                  </div>
+                ) : (
+                  <div key={key} className="input-container">
+                    <div className="handle-container">
+                      <Handle
+                        type="target"
+                        position={Position.Left}
+                        id={key}
+                        style={{ background: '#555', borderRadius: '50%' }}
+                      />
+                      <span className="handle-label">{key}</span>
+                    </div>
+                    {renderDynamicTextFields()}
+                    <button onClick={addDynamicTextInput} className="array-item-add">
+                      Add Text Input
+                    </button>
+                  </div>
+                )}
               </div>
             ))}
         </div>
@@ -212,6 +386,7 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
           </p>
         </div>
       )}
+      <button onClick={handleSubmit}>Submit</button>
       <ModalComponent
         isOpen={isModalOpen}
         onClose={() => setIsModalOpen(false)}
@@ -222,4 +397,4 @@ const CustomNode: FC<NodeProps> = ({ data, id }) => {
   );
 };
 
-export default memo(CustomNode);
+export default memo(CustomNode);
\ No newline at end of file
diff --git a/rnd/autogpt_builder/src/components/Flow.tsx b/rnd/autogpt_builder/src/components/Flow.tsx
index aebd99c7f295..f79e07f6ccbb 100644
--- a/rnd/autogpt_builder/src/components/Flow.tsx
+++ b/rnd/autogpt_builder/src/components/Flow.tsx
@@ -1,6 +1,5 @@
 "use client";
-
-import React, { useState, useCallback, useEffect } from 'react';
+import React, { useState, useCallback, useEffect, useMemo } from 'react';
 import ReactFlow, {
   addEdge,
   applyNodeChanges,
@@ -11,26 +10,39 @@ import ReactFlow, {
   OnEdgesChange,
   OnConnect,
   NodeTypes,
-  EdgeRemoveChange,
+  Connection,
 } from 'reactflow';
 import 'reactflow/dist/style.css';
-import Modal from 'react-modal';
 import CustomNode from './CustomNode';
 import './flow.css';
 
-const initialNodes: Node[] = [];
-const initialEdges: Edge[] = [];
-const nodeTypes: NodeTypes = {
-  custom: CustomNode,
+type Schema = {
+  type: string;
+  properties: { [key: string]: any };
+  required?: string[];
+};
+
+type CustomNodeData = {
+  blockType: string;
+  title: string;
+  inputSchema: Schema;
+  outputSchema: Schema;
+  hardcodedValues: { [key: string]: any };
+  setHardcodedValues: (values: { [key: string]: any }) => void;
+  connections: Array<{ source: string; sourceHandle: string; target: string; targetHandle: string }>;
+  isPropertiesOpen: boolean;
+  status?: string;
+  output_data?: any;
+  block_id: string;
 };
 
-interface AvailableNode {
+type AvailableNode = {
   id: string;
   name: string;
   description: string;
-  inputSchema?: { properties: { [key: string]: any }; required?: string[] };
-  outputSchema?: { properties: { [key: string]: any } };
-}
+  inputSchema: Schema;
+  outputSchema: Schema;
+};
 
 interface ExecData {
   node_id: string;
@@ -38,94 +50,96 @@ interface ExecData {
   output_data: any;
 }
 
+const Sidebar: React.FC<{isOpen: boolean, availableNodes: AvailableNode[], addNode: (id: string, name: string) => void}> =
+  ({isOpen, availableNodes, addNode}) => {
+  const [searchQuery, setSearchQuery] = useState('');
+
+  if (!isOpen) return null;
+
+  const filteredNodes = availableNodes.filter(node =>
+    node.name.toLowerCase().includes(searchQuery.toLowerCase())
+  );
+
+  return (
+    <div style={{
+      position: 'absolute',
+      left: 0,
+      top: 0,
+      bottom: 0,
+      width: '250px',
+      backgroundColor: '#333',
+      padding: '20px',
+      zIndex: 4,
+      overflowY: 'auto'
+    }}>
+      <h3 style={{color: '#fff'}}>Nodes</h3>
+      <input
+        type="text"
+        placeholder="Search nodes..."
+        style={{width: '100%', marginBottom: '10px', padding: '5px'}}
+        value={searchQuery}
+        onChange={(e) => setSearchQuery(e.target.value)}
+      />
+      {filteredNodes.map((node) => (
+        <div key={node.id} style={{marginBottom: '10px', display: 'flex', justifyContent: 'space-between', alignItems: 'center'}}>
+          <span style={{color: '#fff'}}>{node.name}</span>
+          <button onClick={() => addNode(node.id, node.name)}>Add</button>
+        </div>
+      ))}
+    </div>
+  );
+};
+
 const Flow: React.FC = () => {
-  const [nodes, setNodes] = useState<Node[]>(initialNodes);
-  const [edges, setEdges] = useState<Edge[]>(initialEdges);
+  const [nodes, setNodes] = useState<Node<CustomNodeData>[]>([]);
+  const [edges, setEdges] = useState<Edge[]>([]);
   const [nodeId, setNodeId] = useState<number>(1);
-  const [modalIsOpen, setModalIsOpen] = useState<boolean>(false);
-  const [selectedNode, setSelectedNode] = useState<Node | null>(null);
-  const [title, setTitle] = useState<string>('');
-  const [description, setDescription] = useState<string>('');
-  const [variableName, setVariableName] = useState<string>('');
-  const [variableValue, setVariableValue] = useState<string>('');
-  const [printVariable, setPrintVariable] = useState<string>('');
-  const [isSidebarOpen, setIsSidebarOpen] = useState<boolean>(false);
-  const [searchQuery, setSearchQuery] = useState<string>('');
   const [availableNodes, setAvailableNodes] = useState<AvailableNode[]>([]);
-  const [loadingStatus, setLoadingStatus] = useState<'loading' | 'failed' | 'loaded'>('loading');
   const [agentId, setAgentId] = useState<string | null>(null);
+  const [isSidebarOpen, setIsSidebarOpen] = useState(true);
 
-  const apiUrl = 'http://localhost:8000'
+  const apiUrl = 'http://localhost:8000';
 
   useEffect(() => {
     fetch(`${apiUrl}/blocks`)
-      .then(response => {
-        if (!response.ok) {
-          throw new Error(`HTTP error! Status: ${response.status}`);
-        }
-        return response.json();
-      })
-      .then(data => {
-        setAvailableNodes(data.map((node: AvailableNode) => ({
-          ...node,
-          description: typeof node.description === 'object' ? JSON.stringify(node.description) : node.description,
-        })));
-        setLoadingStatus('loaded');
-      })
-      .catch(error => {
-        console.error('Error fetching nodes:', error);
-        setLoadingStatus('failed');
-      });
+      .then(response => response.json())
+      .then(data => setAvailableNodes(data))
+      .catch(error => console.error('Error fetching available blocks:', error));
   }, []);
 
+  const nodeTypes: NodeTypes = useMemo(() => ({ custom: CustomNode }), []);
+
   const onNodesChange: OnNodesChange = useCallback(
-    (changes) => setNodes((nds) => applyNodeChanges(changes, nds).map(node => ({
-      ...node,
-      data: {
-        ...node.data,
-        metadata: {
-          ...node.data.metadata,
-          position: node.position
-        }
-      }
-    }))),
+    (changes) => setNodes((nds) => applyNodeChanges(changes, nds)),
     []
   );
 
   const onEdgesChange: OnEdgesChange = useCallback(
-    (changes) => {
-      const removedEdges = changes.filter((change): change is EdgeRemoveChange => change.type === 'remove');
-      setEdges((eds) => applyEdgeChanges(changes, eds));
-
-      if (removedEdges.length > 0) {
-        setNodes((nds) =>
-          nds.map((node) => {
-            const updatedConnections = node.data.connections.filter(
-              (conn: string) =>
-                !removedEdges.some((edge) => edge.id && conn.includes(edge.id))
-            );
-            return { ...node, data: { ...node.data, connections: updatedConnections } };
-          })
-        );
-      }
-    },
+    (changes) => setEdges((eds) => applyEdgeChanges(changes, eds)),
     []
   );
 
   const onConnect: OnConnect = useCallback(
-    (connection) => {
+    (connection: Connection) => {
       setEdges((eds) => addEdge(connection, eds));
       setNodes((nds) =>
         nds.map((node) => {
-          if (node.id === connection.source) {
-            const connections = node.data.connections || [];
-            connections.push(`${node.data.title} ${connection.sourceHandle} -> ${connection.target}`);
-            return { ...node, data: { ...node.data, connections } };
-          }
           if (node.id === connection.target) {
-            const connections = node.data.connections || [];
-            connections.push(`${connection.source} -> ${node.data.title} ${connection.targetHandle}`);
-            return { ...node, data: { ...node.data, connections } };
+            return {
+              ...node,
+              data: {
+                ...node.data,
+                connections: [
+                  ...node.data.connections,
+                  {
+                    source: connection.source,
+                    sourceHandle: connection.sourceHandle,
+                    target: connection.target,
+                    targetHandle: connection.targetHandle,
+                  } as { source: string; sourceHandle: string; target: string; targetHandle: string },
+                ],
+              },
+            };
           }
           return node;
         })
@@ -134,127 +148,79 @@ const Flow: React.FC = () => {
     [setEdges, setNodes]
   );
 
-  const addNode = (type: string, label: string, description: string) => {
-    const nodeSchema = availableNodes.find(node => node.name === label);
-    const position = { x: Math.random() * 400, y: Math.random() * 400 };
+  const addNode = (blockId: string, nodeType: string) => {
+    const nodeSchema = availableNodes.find(node => node.id === blockId);
+    if (!nodeSchema) {
+      console.error(`Schema not found for block ID: ${blockId}`);
+      return;
+    }
 
-    const newNode: Node = {
+    const newNode: Node<CustomNodeData> = {
       id: nodeId.toString(),
       type: 'custom',
+      position: { x: Math.random() * 400, y: Math.random() * 400 },
       data: {
-        label: label,
-        title: `${type} ${nodeId}`,
-        description: `${description}`,
-        inputSchema: nodeSchema?.inputSchema,
-        outputSchema: nodeSchema?.outputSchema,
-        connections: [],
-        variableName: '',
-        variableValue: '',
-        printVariable: '',
-        setVariableName,
-        setVariableValue,
-        setPrintVariable,
+        blockType: nodeType,
+        title: `${nodeType} ${nodeId}`,
+        inputSchema: nodeSchema.inputSchema,
+        outputSchema: nodeSchema.outputSchema,
         hardcodedValues: {},
         setHardcodedValues: (values: { [key: string]: any }) => {
           setNodes((nds) => nds.map((node) =>
-            node.id === nodeId.toString()
+            node.id === newNode.id
               ? { ...node, data: { ...node.data, hardcodedValues: values } }
               : node
           ));
         },
-        block_id: nodeSchema?.id || '',
-        metadata: {
-          position // Store position in metadata
-        }
+        connections: [],
+        isPropertiesOpen: false,
+        block_id: blockId,
       },
-      position,
     };
+
     setNodes((nds) => [...nds, newNode]);
-    setNodeId((id) => id + 1);
+    setNodeId((prevId) => prevId + 1);
   };
 
-  const closeModal = () => {
-    setModalIsOpen(false);
-    setSelectedNode(null);
-  };
+  const prepareNodeInputData = (node: Node<CustomNodeData>, allNodes: Node<CustomNodeData>[], allEdges: Edge[]) => {
+    console.log("Preparing input data for node:", node.id, node.data.blockType);
 
-  const saveNodeData = () => {
-    if (selectedNode) {
-      setNodes((nds) =>
-        nds.map((node) =>
-          node.id === selectedNode.id
-            ? {
-                ...node,
-                data: {
-                  ...node.data,
-                  title,
-                  description,
-                  label: title,
-                  variableName,
-                  variableValue: typeof variableValue === 'object' ? JSON.stringify(variableValue) : variableValue,
-                  printVariable: typeof printVariable === 'object' ? JSON.stringify(printVariable) : printVariable,
-                },
-              }
-            : node
-        )
-      );
-      closeModal();
-    }
-  };
-
-  const toggleSidebar = () => {
-    setIsSidebarOpen(!isSidebarOpen);
-  };
+    const blockSchema = availableNodes.find(n => n.id === node.data.block_id)?.inputSchema;
 
-  const filteredNodes = availableNodes.filter(node => node.name.toLowerCase().includes(searchQuery.toLowerCase()));
+    if (!blockSchema) {
+      console.error(`Schema not found for block ID: ${node.data.block_id}`);
+      return {};
+    }
 
-  const prepareNodeInputData = (node: Node, allNodes: Node[], allEdges: Edge[]) => {
-    const nodeSchema = availableNodes.find(n => n.id === node.data.block_id);
-    if (!nodeSchema || !nodeSchema.inputSchema) return {};
+    let inputData: { [key: string]: any } = { ...node.data.hardcodedValues };
 
-    let inputData: { [key: string]: any } = {};
-    const inputProperties = nodeSchema.inputSchema.properties;
+    // Get data from connected nodes
+    const incomingEdges = allEdges.filter(edge => edge.target === node.id);
+    incomingEdges.forEach(edge => {
+      const sourceNode = allNodes.find(n => n.id === edge.source);
+      if (sourceNode && sourceNode.data.output_data) {
+        const outputKey = Object.keys(sourceNode.data.output_data)[0]; // Assuming single output
+        inputData[edge.targetHandle as string] = sourceNode.data.output_data[outputKey];
+      }
+    });
 
-    Object.keys(inputProperties).forEach(prop => {
-      const inputEdges = allEdges.filter(edge => edge.target === node.id && edge.targetHandle === prop);
-      if (inputEdges.length > 0) {
-        const sourceNode = allNodes.find(n => n.id === inputEdges[0].source);
-        if (sourceNode && sourceNode.data.output_data) {
-          // Map the output of the source node to the input of the target node
-          const sourceOutput = sourceNode.data.output_data;
-          const outputKey = Object.keys(sourceOutput)[0]; // Assume first output key
-          inputData[prop] = sourceOutput[outputKey];
-        }
-      } else if (node.data.hardcodedValues && node.data.hardcodedValues[prop]) {
-        inputData[prop] = node.data.hardcodedValues[prop];
+    // Filter out any inputs that are not in the block's schema
+    Object.keys(inputData).forEach(key => {
+      if (!blockSchema.properties[key]) {
+        delete inputData[key];
       }
     });
 
+    console.log(`Final prepared input for ${node.data.blockType} (${node.id}):`, inputData);
     return inputData;
   };
 
-  const updateNodeData = (execData: ExecData) => {
-    setNodes((nds) =>
-      nds.map((node) => {
-        if (node.id === execData.node_id) {
-          return {
-            ...node,
-            data: {
-              ...node.data,
-              status: execData.status,
-              output_data: execData.output_data,
-              isPropertiesOpen: true, // Open the properties
-            },
-          };
-        }
-        return node;
-      })
-    );
-  };
-
   const runAgent = async () => {
     try {
+      console.log("All nodes before formatting:", nodes);
+
       const formattedNodes = nodes.map(node => {
+        console.log("Formatting node:", node.id, node.data.blockType);
         const inputDefault = prepareNodeInputData(node, nodes, edges);
         const inputNodes = edges
           .filter(edge => edge.target === node.id)
@@ -273,20 +239,22 @@ const Flow: React.FC = () => {
         return {
           id: node.id,
           block_id: node.data.block_id,
-          input_default: inputNodes.length === 0 ? inputDefault : {},
+          input_default: inputDefault,
           input_nodes: inputNodes,
           output_nodes: outputNodes,
-          metadata: node.data.metadata
+          metadata: { position: node.position }
         };
       });
 
       const payload = {
-        id: '',
+        id: agentId || '',
         name: 'Agent Name',
         description: 'Agent Description',
         nodes: formattedNodes,
       };
 
+      console.log("Payload being sent to the API:", JSON.stringify(payload, null, 2));
+
       const createResponse = await fetch(`${apiUrl}/graphs`, {
         method: 'POST',
         headers: {
@@ -300,77 +268,19 @@ const Flow: React.FC = () => {
       }
 
       const createData = await createResponse.json();
-      const agentId = createData.id;
-      setAgentId(agentId);
 
-      const responseNodes = createData.nodes.map((node: any) => {
-        const block = availableNodes.find(n => n.id === node.block_id);
-        return {
-          id: node.id,
-          type: 'custom',
-          position: node.metadata.position,
-          data: {
-            label: block?.name || 'Unknown',
-            title: `${block?.name || 'Unknown'}`,
-            description: `${block?.description || ''}`,
-            inputSchema: block?.inputSchema,
-            outputSchema: block?.outputSchema,
-            connections: node.input_nodes.map((input: any) => `${input.node_id}-${input.name} -> ${node.id}`),
-            variableName: '',
-            variableValue: '',
-            printVariable: '',
-            setVariableName,
-            setVariableValue,
-            setPrintVariable,
-            hardcodedValues: node.input_default,
-            setHardcodedValues: (values: { [key: string]: any }) => {
-              setNodes((nds) => nds.map((n) =>
-                n.id === node.id
-                  ? { ...n, data: { ...n.data, hardcodedValues: values } }
-                  : n
-              ));
-            },
-            block_id: node.block_id,
-            metadata: node.metadata
-          },
-        };
-      });
+      const newAgentId = createData.id;
+      setAgentId(newAgentId);
 
-      const newEdges = createData.nodes.flatMap((node: any) => {
-        return node.output_nodes.map((outputNode: { name: string; node_id: string }) => ({
-          id: `${node.id}-${outputNode.name}-${outputNode.node_id}`,
-          source: node.id,
-          sourceHandle: outputNode.name,
-          target: outputNode.node_id,
-          targetHandle: node.input_nodes.find((inputNode: { name: string; node_id: string }) => inputNode.node_id === outputNode.node_id)?.name || '',
-        }));
-      });
+      console.log('Response from the API:', JSON.stringify(createData, null, 2));
 
-      setNodes(responseNodes);
-      setEdges(newEdges);
-
-      const initialNodeInput = nodes.reduce((acc, node) => {
-        acc[node.id] = prepareNodeInputData(node, nodes, edges);
-        return acc;
-      }, {} as { [key: string]: any });
-
-      const nodeInputForExecution = Object.keys(initialNodeInput).reduce((acc, key) => {
-        const blockId = nodes.find(node => node.id === key)?.data.block_id;
-        const nodeSchema = availableNodes.find(n => n.id === blockId);
-        if (nodeSchema && nodeSchema.inputSchema) {
-          Object.keys(nodeSchema.inputSchema.properties).forEach(prop => {
-            acc[prop] = initialNodeInput[key][prop];
-          });
-        }
-        return acc;
-      }, {} as { [key: string]: any });
+      const executeResponse = await fetch(`${apiUrl}/graphs/${newAgentId}/execute`, {
 
-      const executeResponse = await fetch(`${apiUrl}/graphs/${agentId}/execute`, {
         method: 'POST',
         headers: {
           'Content-Type': 'application/json',
         },
-        body: JSON.stringify(nodeInputForExecution),
+        body: JSON.stringify({}),
       });
 
       if (!executeResponse.ok) {
@@ -378,210 +288,100 @@ const Flow: React.FC = () => {
       }
 
       const executeData = await executeResponse.json();
-      const runId = executeData.id; // Correctly capturing runId from executeData
-      const startPolling = () => {
-        const endTime = Date.now() + 60000;
-
-        const poll = async () => {
-          if (Date.now() >= endTime) {
-            console.log('Polling timeout reached.');
-            return;
-          }
+      const runId = executeData.id;
 
-          try {
-            const response = await fetch(`${apiUrl}/graphs/${agentId}/executions/${runId}`);
-            if (!response.ok) {
-              throw new Error(`HTTP error! Status: ${response.status}`);
-            }
-
-            const data = await response.json();
-            data.forEach(updateNodeData);
-
-            const allCompleted = data.every((exec: any) => exec.status === 'COMPLETED');
-            if (allCompleted) {
-              console.log('All nodes are completed.');
-              return;
-            }
-
-            setTimeout(poll, 100);
-          } catch (error) {
-            console.error('Error during polling:', error);
-            setTimeout(poll, 100);
-          }
-        };
 
-        poll();
+      const pollExecution = async () => {
+        const response = await fetch(`${apiUrl}/graphs/${newAgentId}/executions/${runId}`);
+        if (!response.ok) {
+          throw new Error(`HTTP error! Status: ${response.status}`);
+        }
+        const data = await response.json();
+        data.forEach(updateNodeData);
+        if (data.every((node: any) => node.status === 'COMPLETED')) {
+          console.log('All nodes completed execution');
+        } else {
+          setTimeout(pollExecution, 1000);
+        }
       };
 
-      startPolling();
+      pollExecution();
+
     } catch (error) {
       console.error('Error running agent:', error);
     }
   };
 
+  const updateNodesWithExecutionData = (executionData: any[]) => {
+    setNodes((nds) =>
+      nds.map((node) => {
+        const nodeExecution = executionData.find((exec) => exec.node_id === node.id);
+        if (nodeExecution) {
+          return {
+            ...node,
+            data: {
+              ...node.data,
+              status: nodeExecution.status,
+              output_data: nodeExecution.output_data,
+              isPropertiesOpen: true,
+            },
+          };
+        }
+        return node;
+      })
+    );
+  };
+
+  const toggleSidebar = () => setIsSidebarOpen(!isSidebarOpen);
+
+    const updateNodeData = (execData: ExecData) => {
+    setNodes((nds) =>
+      nds.map((node) => {
+        if (node.id === execData.node_id) {
+          return {
+            ...node,
+            data: {
+              ...node.data,
+              status: execData.status,
+              output_data: execData.output_data,
+              isPropertiesOpen: true, // Open the properties
+            },
+          };
+        }
+        return node;
+      })
+    );
+  };
+
   return (
-    <div className="flow-container">
-      <div className={`flow-controls ${isSidebarOpen ? 'open' : ''}`}>
-        <button className="nodes-button" onClick={toggleSidebar}>
-          Nodes
-        </button>
-        <button className="run-button" onClick={runAgent}>
-          Run
-        </button>
-        {agentId && (
-          <span style={{ marginLeft: '10px', color: '#fff', fontSize: '16px' }}>
-            Agent ID: {agentId}
-          </span>
-        )}
-      </div>
-      <div className="flow-wrapper">
-        <ReactFlow
-          nodes={nodes}
-          edges={edges}
-          nodeTypes={nodeTypes}
-          onNodesChange={onNodesChange}
-          onEdgesChange={onEdgesChange}
-          onConnect={onConnect}
-          fitView
-        />
-      </div>
-      {selectedNode && (
-        <Modal isOpen={modalIsOpen} onRequestClose={closeModal} contentLabel="Node Info" className="modal" overlayClassName="overlay">
-          <h2>Edit Node</h2>
-          <form
-            onSubmit={(e) => {
-              e.preventDefault();
-              saveNodeData();
-            }}
-          >
-            <div>
-              <label>
-                Title:
-                <input
-                  type="text"
-                  value={title}
-                  onChange={(e) => setTitle(e.target.value)}
-                  required
-                />
-              </label>
-            </div>
-            <div>
-              <label>
-                Description:
-                <textarea
-                  value={description}
-                  onChange={(e) => setDescription(e.target.value)}
-                  required
-                />
-              </label>
-            </div>
-            {selectedNode.data.title.includes('Variable') && (
-              <>
-                <div>
-                  <label>
-                    Variable Name:
-                    <input
-                      type="text"
-                      value={variableName}
-                      onChange={(e) => setVariableName(e.target.value)}
-                      required
-                    />
-                  </label>
-                </div>
-                <div>
-                  <label>
-                    Variable Value:
-                    <input
-                      type="text"
-                      value={variableValue}
-                      onChange={(e) => setVariableValue(e.target.value)}
-                      required
-                    />
-                  </label>
-                </div>
-              </>
-            )}
-            {selectedNode.data.title.includes('Print') && (
-              <>
-                <div>
-                  <label>
-                    Variable to Print:
-                    <input
-                      type="text"
-                      value={printVariable}
-                      onChange={(e) => setPrintVariable(e.target.value)}
-                      required
-                    />
-                  </label>
-                </div>
-              </>
-            )}
-            <button type="submit">Save</button>
-            <button type="button" onClick={closeModal}>
-              Cancel
-            </button>
-          </form>
-        </Modal>
-      )}
-      <div className={`sidebar ${isSidebarOpen ? 'open' : ''}`}>
-        <h3 style={{ margin: '0 0 10px 0' }}>Nodes</h3>
-        <input
-          type="text"
-          placeholder="Search nodes..."
-          value={searchQuery}
-          onChange={(e) => setSearchQuery(e.target.value)}
-          style={{
-            padding: '10px',
-            fontSize: '16px',
-            backgroundColor: '#333',
-            color: '#e0e0e0',
-            border: '1px solid #555',
-            borderRadius: '4px',
-            marginBottom: '10px',
-            width: 'calc(100% - 22px)',
-            boxSizing: 'border-box',
-          }}
-        />
-        <div style={{ display: 'flex', flexDirection: 'column', gap: '10px' }}>
-          {loadingStatus === 'loading' && <p>Loading...</p>}
-          {loadingStatus === 'failed' && <p>Failed To Load Nodes</p>}
-          {loadingStatus === 'loaded' && filteredNodes.map(node => (
-            <div key={node.id} style={sidebarNodeRowStyle}>
-              <div>
-                <strong>{node.name}</strong>
-                <p>{node.description}</p>
-              </div>
-              <button
-                onClick={() => addNode(node.name, node.name, node.description)}
-                style={sidebarButtonStyle}
-              >
-                Add
-              </button>
-            </div>
-          ))}
+    <div style={{ height: '100vh', width: '100%' }}>
+      <button
+        onClick={toggleSidebar}
+        style={{
+          position: 'absolute',
+          left: isSidebarOpen ? '260px' : '10px',
+          top: '10px',
+          zIndex: 5,
+          transition: 'left 0.3s'
+        }}
+      >
+        {isSidebarOpen ? 'Hide Sidebar' : 'Show Sidebar'}
+      </button>
+      <Sidebar isOpen={isSidebarOpen} availableNodes={availableNodes} addNode={addNode} />
+      <ReactFlow
+        nodes={nodes}
+        edges={edges}
+        onNodesChange={onNodesChange}
+        onEdgesChange={onEdgesChange}
+        onConnect={onConnect}
+        nodeTypes={nodeTypes}
+      >
+        <div style={{ position: 'absolute', right: 10, top: 10, zIndex: 4 }}>
+          <button onClick={runAgent}>Run Agent</button>
         </div>
-      </div>
+      </ReactFlow>
     </div>
   );
 };
 
-const sidebarNodeRowStyle = {
-  display: 'flex',
-  justifyContent: 'space-between',
-  alignItems: 'center',
-  backgroundColor: '#444',
-  padding: '10px',
-  borderRadius: '4px',
-};
-
-const sidebarButtonStyle = {
-  padding: '10px 20px',
-  fontSize: '16px',
-  backgroundColor: '#007bff',
-  color: '#fff',
-  border: 'none',
-  borderRadius: '4px',
-  cursor: 'pointer',
-};
-
-export default Flow;
+export default Flow;
\ No newline at end of file
diff --git a/rnd/autogpt_builder/src/components/custominput.css b/rnd/autogpt_builder/src/components/custominput.css
new file mode 100644
index 000000000000..e69de29bb2d1
diff --git a/rnd/autogpt_builder/src/components/customnode.css b/rnd/autogpt_builder/src/components/customnode.css
index 7a36db734efb..ec0d10cd07ca 100644
--- a/rnd/autogpt_builder/src/components/customnode.css
+++ b/rnd/autogpt_builder/src/components/customnode.css
@@ -1,25 +1,22 @@
 .custom-node {
   padding: 20px;
   border: 2px solid #fff;
-  border-radius: 12px;
-  background: #1e1e1e;
+  border-radius: 20px;
+  background: #333;
   color: #e0e0e0;
-  width: 260px;
-  box-shadow: 0 4px 8px rgba(0, 0, 0, 0.2);
-  font-family: 'Arial', sans-serif;
+  width: 250px;
 }
 
 .node-header {
   display: flex;
   justify-content: space-between;
   align-items: center;
-  margin-bottom: 15px;
+  margin-bottom: 10px;
 }
 
 .node-title {
-  font-size: 20px;
+  font-size: 18px;
   font-weight: bold;
-  color: #61dafb;
 }
 
 .toggle-button {
@@ -27,16 +24,20 @@
   border: none;
   cursor: pointer;
   color: #e0e0e0;
-  font-size: 20px;
 }
 
 .node-content {
   display: flex;
-  flex-direction: column;
-  gap: 10px;
+  flex-direction: row;
+  justify-content: space-between;
+  gap: 20px;
+}
+
+.input-section {
+  flex: 1;
 }
 
-.input-section, .output-section {
+.output-section {
   flex: 1;
 }
 
@@ -44,7 +45,7 @@
   display: flex;
   align-items: center;
   position: relative;
-  margin-bottom: 10px;
+  margin-bottom: 5px;
 }
 
 .handle-label {
@@ -53,91 +54,86 @@
 }
 
 .input-container {
-  margin-bottom: 10px;
+  margin-bottom: 5px;
 }
 
 .clickable-input {
-  padding: 10px;
-  border-radius: 8px;
+  padding: 5px;
+  border-radius: 4px;
   border: 1px solid #555;
-  background: #2a2a2a;
+  background: #444;
   color: #e0e0e0;
   cursor: pointer;
-  text-align: center;
-  transition: background 0.3s;
-}
-
-.clickable-input:hover {
-  background: #444;
 }
 
 .select-input {
   width: 100%;
-  padding: 8px;
+  padding: 5px;
   border-radius: 4px;
   border: 1px solid #555;
-  background: #2a2a2a;
+  background: #444;
   color: #e0e0e0;
-  cursor: pointer;
-}
-
-.radio-group {
-  display: flex;
-  flex-direction: column;
-  gap: 5px;
 }
 
 .radio-label {
+  display: block;
+  margin: 5px 0;
   color: #e0e0e0;
 }
 
-.radio-label input {
-  margin-right: 10px;
-}
-
 .number-input {
   width: 100%;
-  padding: 8px;
+  padding: 5px;
   border-radius: 4px;
   border: 1px solid #555;
-  background: #2a2a2a;
+  background: #444;
   color: #e0e0e0;
 }
 
-.node-properties {
-  margin-top: 20px;
-  background: #2a2a2a;
-  padding: 15px;
-  border-radius: 8px;
+.array-item-container {
+  display: flex;
+  align-items: center;
+  margin-bottom: 5px;
 }
 
-.node-properties h4 {
-  margin: 0 0 10px 0;
+.array-item-input {
+  flex-grow: 1;
+  padding: 5px;
+  border-radius: 4px;
+  border: 1px solid #555;
+  background: #444;
+  color: #e0e0e0;
 }
 
-.node-properties p {
-  margin: 5px 0;
+.array-item-remove {
+  background: #d9534f;
+  border: none;
+  color: white;
+  cursor: pointer;
+  margin-left: 5px;
+  border-radius: 4px;
+  padding: 5px 10px;
 }
 
-@media screen and (max-width: 768px) {
-  .custom-node {
-    width: 90%;
-    padding: 15px;
-  }
-
-  .node-content {
-    flex-direction: column;
-  }
-
-  .toggle-button {
-    font-size: 16px;
-  }
+.array-item-add {
+  background: #5bc0de;
+  border: none;
+  color: white;
+  cursor: pointer;
+  border-radius: 4px;
+  padding: 5px 10px;
+  margin-top: 5px;
+}
 
-  .node-title {
-    font-size: 18px;
-  }
+.node-properties {
+  margin-top: 20px;
+  background: #444;
+  padding: 10px;
+  border-radius: 10px;
+}
 
-  .clickable-input {
-    padding: 8px;
-  }
+.error-message {
+  color: #d9534f;
+  font-size: 12px;
+  margin-top: 5px;
 }

From 7cb4d4a903007e89959044e72b822291c1d795e1 Mon Sep 17 00:00:00 2001
From: Krzysztof Czerwinski <34861343+kcze@users.noreply.github.com>
Date: Tue, 2 Jul 2024 19:45:32 +0100
Subject: [PATCH 21/23] feat(forge, agent, benchmark): Upgrade to Pydantic v2
 (#7280)

Update Pydantic dependency of `autogpt`, `forge` and `benchmark` to `^2.7`
[Pydantic Migration Guide](https://docs.pydantic.dev/2.7/migration/)

- Migrate usages of now-deprecated functions to their replacements
- Update `Field` definitions
  - Ellipsis `...` for required fields is deprecated
  - `Field` no longer supports extra `kwargs`, replace use of this feature with field metadata
- Replace `Config` class for specifying model configuration with `model_config = ConfigDict(..)`
- Removed `ModelContainer` in `BaseAgent`, component configuration dict is now directly serialized using Pydantic v2 helper functions
- Forked `agent-protocol` and updated `packages/client/python` for Pydantic v2 support: https://github.com/Significant-Gravitas/agent-protocol

---------

Co-authored-by: Reinier van der Leer <pwuts@agpt.co>
---
 .../autogpt/agent_factory/configurators.py    |   2 +-
 .../agent_factory/profile_generator.py        |   6 +-
 autogpt/autogpt/agents/agent.py               |   6 +-
 .../agents/prompt_strategies/one_shot.py      |  24 +-
 autogpt/autogpt/app/agent_protocol_server.py  |  10 +-
 autogpt/autogpt/app/config.py                 |  14 +-
 autogpt/poetry.lock                           | 213 +++++++---
 autogpt/pyproject.toml                        |   2 +-
 autogpt/tests/conftest.py                     |   2 +-
 autogpt/tests/integration/agent_factory.py    |   2 +-
 benchmark/agbenchmark/__main__.py             |   6 +-
 benchmark/agbenchmark/app.py                  |  17 +-
 benchmark/agbenchmark/challenges/builtin.py   |  43 +-
 .../artifacts_in/abstract_class.py            |   4 +-
 .../artifacts_out/abstract_class.py           |   4 +-
 benchmark/agbenchmark/challenges/webarena.py  |  38 +-
 benchmark/agbenchmark/config.py               |  15 +-
 .../agbenchmark/reports/ReportManager.py      |  12 +-
 .../reports/processing/process_report.py      |   2 +-
 .../reports/processing/report_types.py        |  28 +-
 .../reports/processing/report_types_v2.py     |   4 +-
 benchmark/agbenchmark/reports/reports.py      |   2 +-
 benchmark/agbenchmark/schema.py               |   3 +-
 .../agbenchmark/utils/dependencies/main.py    |   2 +-
 benchmark/agbenchmark/utils/utils.py          |   6 +-
 benchmark/poetry.lock                         | 363 +++++++++++------
 benchmark/pyproject.toml                      |   8 +-
 benchmark/reports/format.py                   |   5 +-
 benchmark/reports/match_records.py            |   4 +-
 forge/forge/agent/base.py                     |  37 +-
 forge/forge/agent/components.py               |   2 +-
 forge/forge/agent/forge_agent.py              |   2 +-
 forge/forge/agent_protocol/models/artifact.py |  26 +-
 .../forge/agent_protocol/models/pagination.py |   8 +-
 forge/forge/agent_protocol/models/task.py     |  66 +--
 .../forge/components/action_history/model.py  |   7 +-
 .../components/code_executor/code_executor.py |   4 +-
 .../components/file_manager/file_manager.py   |  12 +-
 .../git_operations/git_operations.py          |   4 +-
 forge/forge/components/image_gen/image_gen.py |   4 +-
 forge/forge/components/web/search.py          |   4 +-
 forge/forge/config/ai_directives.py           |   2 +-
 forge/forge/llm/prompting/schema.py           |   2 +-
 forge/forge/llm/providers/_openai_base.py     |  13 +-
 forge/forge/llm/providers/anthropic.py        |   4 +-
 forge/forge/llm/providers/multi.py            |   8 +-
 forge/forge/llm/providers/openai.py           |  18 +-
 forge/forge/llm/providers/schema.py           |   9 +-
 forge/forge/models/action.py                  |  23 +-
 forge/forge/models/config.py                  | 104 +++--
 forge/forge/models/json_schema.py             |   2 +-
 forge/forge/models/providers.py               |  13 +-
 forge/poetry.lock                             | 375 ++++++++++++------
 forge/pyproject.toml                          |   2 +-
 54 files changed, 993 insertions(+), 605 deletions(-)

diff --git a/autogpt/autogpt/agent_factory/configurators.py b/autogpt/autogpt/agent_factory/configurators.py
index c58aabd396db..4c1dc8e1f2c6 100644
--- a/autogpt/autogpt/agent_factory/configurators.py
+++ b/autogpt/autogpt/agent_factory/configurators.py
@@ -104,5 +104,5 @@ def create_agent_state(
             allow_fs_access=not app_config.restrict_to_workspace,
             use_functions_api=app_config.openai_functions,
         ),
-        history=Agent.default_settings.history.copy(deep=True),
+        history=Agent.default_settings.history.model_copy(deep=True),
     )
diff --git a/autogpt/autogpt/agent_factory/profile_generator.py b/autogpt/autogpt/agent_factory/profile_generator.py
index ecb4a244904f..c4c0f56613a6 100644
--- a/autogpt/autogpt/agent_factory/profile_generator.py
+++ b/autogpt/autogpt/agent_factory/profile_generator.py
@@ -137,7 +137,7 @@ class AgentProfileGeneratorConfiguration(SystemConfiguration):
                     required=True,
                 ),
             },
-        ).dict()
+        ).model_dump()
     )
 
 
@@ -156,7 +156,7 @@ def __init__(
         self._model_classification = model_classification
         self._system_prompt_message = system_prompt
         self._user_prompt_template = user_prompt_template
-        self._create_agent_function = CompletionModelFunction.parse_obj(
+        self._create_agent_function = CompletionModelFunction.model_validate(
             create_agent_function
         )
 
@@ -222,7 +222,7 @@ async def generate_agent_profile_for_task(
     AIConfig: The AIConfig object tailored to the user's input
     """
     agent_profile_generator = AgentProfileGenerator(
-        **AgentProfileGenerator.default_configuration.dict()  # HACK
+        **AgentProfileGenerator.default_configuration.model_dump()  # HACK
     )
 
     prompt = agent_profile_generator.build_prompt(task)
diff --git a/autogpt/autogpt/agents/agent.py b/autogpt/autogpt/agents/agent.py
index 650589a0b50f..75bc656a7e30 100644
--- a/autogpt/autogpt/agents/agent.py
+++ b/autogpt/autogpt/agents/agent.py
@@ -100,7 +100,9 @@ def __init__(
         super().__init__(settings)
 
         self.llm_provider = llm_provider
-        prompt_config = OneShotAgentPromptStrategy.default_configuration.copy(deep=True)
+        prompt_config = OneShotAgentPromptStrategy.default_configuration.model_copy(
+            deep=True
+        )
         prompt_config.use_functions_api = (
             settings.config.use_functions_api
             # Anthropic currently doesn't support tools + prefilling :(
@@ -160,7 +162,7 @@ async def propose_action(self) -> OneShotAgentActionProposal:
         constraints = await self.run_pipeline(DirectiveProvider.get_constraints)
         best_practices = await self.run_pipeline(DirectiveProvider.get_best_practices)
 
-        directives = self.state.directives.copy(deep=True)
+        directives = self.state.directives.model_copy(deep=True)
         directives.resources += resources
         directives.constraints += constraints
         directives.best_practices += best_practices
diff --git a/autogpt/autogpt/agents/prompt_strategies/one_shot.py b/autogpt/autogpt/agents/prompt_strategies/one_shot.py
index d232e1ee820b..ef2f39886a0f 100644
--- a/autogpt/autogpt/agents/prompt_strategies/one_shot.py
+++ b/autogpt/autogpt/agents/prompt_strategies/one_shot.py
@@ -28,15 +28,13 @@
 
 class AssistantThoughts(ModelWithSummary):
     observations: str = Field(
-        ..., description="Relevant observations from your last action (if any)"
+        description="Relevant observations from your last action (if any)"
     )
-    text: str = Field(..., description="Thoughts")
-    reasoning: str = Field(..., description="Reasoning behind the thoughts")
-    self_criticism: str = Field(..., description="Constructive self-criticism")
-    plan: list[str] = Field(
-        ..., description="Short list that conveys the long-term plan"
-    )
-    speak: str = Field(..., description="Summary of thoughts, to say to user")
+    text: str = Field(description="Thoughts")
+    reasoning: str = Field(description="Reasoning behind the thoughts")
+    self_criticism: str = Field(description="Constructive self-criticism")
+    plan: list[str] = Field(description="Short list that conveys the long-term plan")
+    speak: str = Field(description="Summary of thoughts, to say to user")
 
     def summary(self) -> str:
         return self.text
@@ -96,7 +94,9 @@ def __init__(
         logger: Logger,
     ):
         self.config = configuration
-        self.response_schema = JSONSchema.from_dict(OneShotAgentActionProposal.schema())
+        self.response_schema = JSONSchema.from_dict(
+            OneShotAgentActionProposal.model_json_schema()
+        )
         self.logger = logger
 
     @property
@@ -182,7 +182,7 @@ def build_system_prompt(
         )
 
     def response_format_instruction(self, use_functions_api: bool) -> tuple[str, str]:
-        response_schema = self.response_schema.copy(deep=True)
+        response_schema = self.response_schema.model_copy(deep=True)
         assert response_schema.properties
         if use_functions_api and "use_tool" in response_schema.properties:
             del response_schema.properties["use_tool"]
@@ -274,6 +274,8 @@ def parse_response_content(
                 raise InvalidAgentResponseError("Assistant did not use a tool")
             assistant_reply_dict["use_tool"] = response.tool_calls[0].function
 
-        parsed_response = OneShotAgentActionProposal.parse_obj(assistant_reply_dict)
+        parsed_response = OneShotAgentActionProposal.model_validate(
+            assistant_reply_dict
+        )
         parsed_response.raw_message = response.copy()
         return parsed_response
diff --git a/autogpt/autogpt/app/agent_protocol_server.py b/autogpt/autogpt/app/agent_protocol_server.py
index 5894fee6aade..c0432bcab139 100644
--- a/autogpt/autogpt/app/agent_protocol_server.py
+++ b/autogpt/autogpt/app/agent_protocol_server.py
@@ -314,7 +314,7 @@ async def execute_step(self, task_id: str, step_request: StepRequestBody) -> Ste
                             ""
                             if tool_result is None
                             else (
-                                orjson.loads(tool_result.json())
+                                orjson.loads(tool_result.model_dump_json())
                                 if not isinstance(tool_result, ActionErrorResult)
                                 else {
                                     "error": str(tool_result.error),
@@ -327,7 +327,7 @@ async def execute_step(self, task_id: str, step_request: StepRequestBody) -> Ste
                 if last_proposal and tool_result
                 else {}
             ),
-            **assistant_response.dict(),
+            **assistant_response.model_dump(),
         }
 
         task_cumulative_cost = agent.llm_provider.get_incurred_cost()
@@ -451,7 +451,9 @@ def _get_task_llm_provider(self, task: Task, step_id: str = "") -> MultiProvider
         """
         task_llm_budget = self._task_budgets[task.task_id]
 
-        task_llm_provider_config = self.llm_provider._configuration.copy(deep=True)
+        task_llm_provider_config = self.llm_provider._configuration.model_copy(
+            deep=True
+        )
         _extra_request_headers = task_llm_provider_config.extra_request_headers
         _extra_request_headers["AP-TaskID"] = task.task_id
         if step_id:
@@ -459,7 +461,7 @@ def _get_task_llm_provider(self, task: Task, step_id: str = "") -> MultiProvider
         if task.additional_input and (user_id := task.additional_input.get("user_id")):
             _extra_request_headers["AutoGPT-UserID"] = user_id
 
-        settings = self.llm_provider._settings.copy()
+        settings = self.llm_provider._settings.model_copy()
         settings.budget = task_llm_budget
         settings.configuration = task_llm_provider_config
         task_llm_provider = self.llm_provider.__class__(
diff --git a/autogpt/autogpt/app/config.py b/autogpt/autogpt/app/config.py
index 4230ab422ab3..5a64c478dcfd 100644
--- a/autogpt/autogpt/app/config.py
+++ b/autogpt/autogpt/app/config.py
@@ -5,7 +5,7 @@
 import os
 import re
 from pathlib import Path
-from typing import Any, Optional, Union
+from typing import Optional, Union
 
 import forge
 from forge.config.base import BaseConfig
@@ -13,7 +13,7 @@
 from forge.llm.providers.openai import OpenAICredentials, OpenAIModelName
 from forge.logging.config import LoggingConfig
 from forge.models.config import Configurable, UserConfigurable
-from pydantic import SecretStr, validator
+from pydantic import SecretStr, ValidationInfo, field_validator
 
 logger = logging.getLogger(__name__)
 
@@ -91,15 +91,15 @@ class AppConfig(BaseConfig):
         default=AZURE_CONFIG_FILE, from_env="AZURE_CONFIG_FILE"
     )
 
-    @validator("openai_functions")
-    def validate_openai_functions(cls, v: bool, values: dict[str, Any]):
-        if v:
-            smart_llm = values["smart_llm"]
+    @field_validator("openai_functions")
+    def validate_openai_functions(cls, value: bool, info: ValidationInfo):
+        if value:
+            smart_llm = info.data["smart_llm"]
             assert CHAT_MODELS[smart_llm].has_function_call_api, (
                 f"Model {smart_llm} does not support tool calling. "
                 "Please disable OPENAI_FUNCTIONS or choose a suitable model."
             )
-        return v
+        return value
 
 
 class ConfigBuilder(Configurable[AppConfig]):
diff --git a/autogpt/poetry.lock b/autogpt/poetry.lock
index 9742ed6b7287..c32c8da22a5c 100644
--- a/autogpt/poetry.lock
+++ b/autogpt/poetry.lock
@@ -10,7 +10,7 @@ files = []
 develop = false
 
 [package.dependencies]
-agent-protocol-client = "^1.1.0"
+agent-protocol-client = {git = "https://github.com/Significant-Gravitas/agent-protocol.git", subdirectory = "packages/client/python"}
 click = "^8.1.3"
 click-default-group = "^1.2.4"
 colorama = "^0.4.6"
@@ -18,12 +18,14 @@ fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 httpx = "^0.24.0"
 matplotlib = "^3.7.2"
+multidict = "^6.0.5"
 networkx = "^3.1"
 openai = "^1.7.2"
 pandas = "^2.0.3"
 pexpect = "^4.8.0"
 psutil = "^5.9.5"
-pydantic = "^1.10.9"
+pydantic = "^2.7.2"
+pydantic-settings = "^2.3.4"
 pytest = "^7.3.2"
 pytest-asyncio = "^0.23.3"
 python-dotenv = "^1.0.0"
@@ -44,17 +46,22 @@ name = "agent-protocol-client"
 version = "1.1.0"
 description = "Agent Communication Protocol Client"
 optional = true
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "agent_protocol_client-1.1.0-py3-none-any.whl", hash = "sha256:0e8c6c97244189666ed18e320410abddce8c9dfb75437da1e590bbef3b6268be"},
-    {file = "agent_protocol_client-1.1.0.tar.gz", hash = "sha256:aa7e1042de1249477fdc29c2df08a44f2233dade9c02c1279e37c98e9d3a0d72"},
-]
+python-versions = "^3.7"
+files = []
+develop = false
 
 [package.dependencies]
-aiohttp = ">=3.8.4,<4.0.0"
-pydantic = ">=1.10.5,<2.0.0"
-python-dateutil = ">=2.8.2,<3.0.0"
-urllib3 = ">=1.25.3,<2.0.0"
+aiohttp = "^3.8.4"
+pydantic = ">=1.10.5, <3.0.0"
+python-dateutil = "^2.8.2"
+urllib3 = "^1.25.3"
+
+[package.source]
+type = "git"
+url = "https://github.com/Significant-Gravitas/agent-protocol.git"
+reference = "HEAD"
+resolved_reference = "beb098517b0b9e255024d1b57df236f0329f4b1c"
+subdirectory = "packages/client/python"
 
 [[package]]
 name = "aiohttp"
@@ -166,6 +173,17 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "anthropic"
 version = "0.25.1"
@@ -312,7 +330,7 @@ litellm = "^1.17.9"
 openai = "^1.7.2"
 Pillow = "*"
 playsound = "~1.2.2"
-pydantic = "*"
+pydantic = "^2.7.2"
 pylatexenc = "*"
 pypdf = "^3.1.0"
 python-docx = "*"
@@ -332,7 +350,7 @@ watchdog = "4.0.0"
 webdriver-manager = "^4.0.1"
 
 [package.extras]
-benchmark = ["agbenchmark @ file:///home/reinier/code/agpt/AutoGPT/benchmark"]
+benchmark = ["agbenchmark @ file:///Users/czerwinski/Projects/AutoGPT/benchmark"]
 
 [package.source]
 type = "directory"
@@ -4314,55 +4332,132 @@ files = [
 
 [[package]]
 name = "pydantic"
-version = "1.10.13"
-description = "Data validation and settings management using python type hints"
+version = "2.7.4"
+description = "Data validation using Python type hints"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
+[[package]]
+name = "pydantic-settings"
+version = "2.3.4"
+description = "Settings management using Pydantic"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
+    {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
+]
+
+[package.dependencies]
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
 
 [[package]]
 name = "pyflakes"
@@ -6698,4 +6793,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "635471a4231272ee37bbc8f6f94fcc5d7ddc392969e54599453ac08889193a8d"
+content-hash = "38a549db0d7726a14e3f990206928b6187e009aee31755b7286ede1c568d359b"
diff --git a/autogpt/pyproject.toml b/autogpt/pyproject.toml
index b28904727791..d51e22ad9003 100644
--- a/autogpt/pyproject.toml
+++ b/autogpt/pyproject.toml
@@ -33,7 +33,7 @@ hypercorn = "^0.14.4"
 openai = "^1.7.2"
 orjson = "^3.8.10"
 Pillow = "*"
-pydantic = "*"
+pydantic = "^2.7.2"
 python-docx = "*"
 python-dotenv = "^1.0.0"
 pyyaml = "^6.0"
diff --git a/autogpt/tests/conftest.py b/autogpt/tests/conftest.py
index a4af971e56b3..bc7630713a61 100644
--- a/autogpt/tests/conftest.py
+++ b/autogpt/tests/conftest.py
@@ -96,7 +96,7 @@ def agent(
             allow_fs_access=not config.restrict_to_workspace,
             use_functions_api=config.openai_functions,
         ),
-        history=Agent.default_settings.history.copy(deep=True),
+        history=Agent.default_settings.history.model_copy(deep=True),
     )
 
     agent = Agent(
diff --git a/autogpt/tests/integration/agent_factory.py b/autogpt/tests/integration/agent_factory.py
index 1f45fdaa3050..b30662ef0f1f 100644
--- a/autogpt/tests/integration/agent_factory.py
+++ b/autogpt/tests/integration/agent_factory.py
@@ -28,7 +28,7 @@ def dummy_agent(config: AppConfig, llm_provider: MultiProvider):
             smart_llm=config.smart_llm,
             use_functions_api=config.openai_functions,
         ),
-        history=Agent.default_settings.history.copy(deep=True),
+        history=Agent.default_settings.history.model_copy(deep=True),
     )
 
     local = config.file_storage_backend == FileStorageBackendName.LOCAL
diff --git a/benchmark/agbenchmark/__main__.py b/benchmark/agbenchmark/__main__.py
index ca2cc1826a64..c8f2a143012c 100644
--- a/benchmark/agbenchmark/__main__.py
+++ b/benchmark/agbenchmark/__main__.py
@@ -276,7 +276,9 @@ def list_challenges(include_unavailable: bool, only_names: bool, output_json: bo
         return
 
     if output_json:
-        click.echo(json.dumps([json.loads(c.info.json()) for c in challenges]))
+        click.echo(
+            json.dumps([json.loads(c.info.model_dump_json()) for c in challenges])
+        )
         return
 
     headers = tuple(
@@ -324,7 +326,7 @@ def info(name: str, json: bool):
             continue
 
         if json:
-            click.echo(challenge.info.json())
+            click.echo(challenge.info.model_dump_json())
             break
 
         pretty_print_model(challenge.info)
diff --git a/benchmark/agbenchmark/app.py b/benchmark/agbenchmark/app.py
index 40e49db1c845..28f39db35d72 100644
--- a/benchmark/agbenchmark/app.py
+++ b/benchmark/agbenchmark/app.py
@@ -16,7 +16,7 @@
 from agent_protocol_client.models import Task, TaskRequestBody
 from fastapi import APIRouter, FastAPI, HTTPException, Request, Response
 from fastapi.middleware.cors import CORSMiddleware
-from pydantic import BaseModel, Extra, ValidationError
+from pydantic import BaseModel, ConfigDict, ValidationError
 
 from agbenchmark.challenges import ChallengeInfo
 from agbenchmark.config import AgentBenchmarkConfig
@@ -52,7 +52,9 @@
 
     logger.debug(f"Loading {challenge_relpath}...")
     try:
-        challenge_info = ChallengeInfo.parse_file(challenge_spec_file)
+        challenge_info = ChallengeInfo.model_validate_json(
+            challenge_spec_file.read_text()
+        )
     except ValidationError as e:
         if logging.getLogger().level == logging.DEBUG:
             logger.warning(f"Spec file {challenge_relpath} failed to load:\n{e}")
@@ -64,7 +66,7 @@
         challenge_info.eval_id = str(uuid.uuid4())
         # this will sort all the keys of the JSON systematically
         # so that the order is always the same
-        write_pretty_json(challenge_info.dict(), challenge_spec_file)
+        write_pretty_json(challenge_info.model_dump(), challenge_spec_file)
 
     CHALLENGES[challenge_info.eval_id] = challenge_info
 
@@ -111,8 +113,7 @@ class CreateReportRequest(BaseModel):
     # category: Optional[str] = []
     mock: Optional[bool] = False
 
-    class Config:
-        extra = Extra.forbid  # this will forbid any extra fields
+    model_config = ConfigDict(extra="forbid")
 
 
 updates_list = []
@@ -153,7 +154,7 @@ def run_single_test(body: CreateReportRequest) -> dict:
         pids = find_agbenchmark_without_uvicorn()
         logger.info(f"pids already running with agbenchmark: {pids}")
 
-        logger.debug(f"Request to /reports: {body.dict()}")
+        logger.debug(f"Request to /reports: {body.model_dump()}")
 
         # Start the benchmark in a separate thread
         benchmark_process = Process(
@@ -326,7 +327,9 @@ async def create_evaluation(task_id: str) -> BenchmarkRun:
                 config={},
             )
 
-            logger.debug(f"Returning evaluation data:\n{eval_info.json(indent=4)}")
+            logger.debug(
+                f"Returning evaluation data:\n{eval_info.model_dump_json(indent=4)}"
+            )
             return eval_info
         except ApiException as e:
             logger.error(f"Error {e} whilst trying to evaluate task: {task_id}")
diff --git a/benchmark/agbenchmark/challenges/builtin.py b/benchmark/agbenchmark/challenges/builtin.py
index b93dc1140e73..ef0d7231713d 100644
--- a/benchmark/agbenchmark/challenges/builtin.py
+++ b/benchmark/agbenchmark/challenges/builtin.py
@@ -15,7 +15,13 @@
 from agent_protocol_client import Step
 from colorama import Fore, Style
 from openai import _load_client as get_openai_client
-from pydantic import BaseModel, Field, constr, validator
+from pydantic import (
+    BaseModel,
+    Field,
+    StringConstraints,
+    ValidationInfo,
+    field_validator,
+)
 
 from agbenchmark.agent_api_interface import download_agent_artifacts_into_folder
 from agbenchmark.agent_interface import copy_challenge_artifacts_into_workspace
@@ -46,7 +52,9 @@ class BuiltinChallengeSpec(BaseModel):
 
     class Info(BaseModel):
         difficulty: DifficultyLevel
-        description: Annotated[str, constr(regex=r"^Tests if the agent can.*")]
+        description: Annotated[
+            str, StringConstraints(pattern=r"^Tests if the agent can.*")
+        ]
         side_effects: list[str] = Field(default_factory=list)
 
     info: Info
@@ -60,23 +68,26 @@ class Ground(BaseModel):
 
         class Eval(BaseModel):
             type: str
-            scoring: Optional[Literal["percentage", "scale", "binary"]]
-            template: Optional[Literal["rubric", "reference", "question", "custom"]]
-            examples: Optional[str]
-
-            @validator("scoring", "template", always=True)
-            def validate_eval_fields(cls, v, values, field):
-                if "type" in values and values["type"] == "llm":
-                    if v is None:
+            scoring: Optional[Literal["percentage", "scale", "binary"]] = None
+            template: Optional[
+                Literal["rubric", "reference", "question", "custom"]
+            ] = None
+            examples: Optional[str] = None
+
+            @field_validator("scoring", "template")
+            def validate_eval_fields(cls, value, info: ValidationInfo):
+                field_name = info.field_name
+                if "type" in info.data and info.data["type"] == "llm":
+                    if value is None:
                         raise ValueError(
-                            f"{field.name} must be provided when eval type is 'llm'"
+                            f"{field_name} must be provided when eval type is 'llm'"
                         )
                 else:
-                    if v is not None:
+                    if value is not None:
                         raise ValueError(
-                            f"{field.name} should only exist when eval type is 'llm'"
+                            f"{field_name} should only exist when eval type is 'llm'"
                         )
-                return v
+                return value
 
         eval: Eval
 
@@ -142,7 +153,7 @@ def from_challenge_spec(
 
     @classmethod
     def from_challenge_spec_file(cls, spec_file: Path) -> type["BuiltinChallenge"]:
-        challenge_spec = BuiltinChallengeSpec.parse_file(spec_file)
+        challenge_spec = BuiltinChallengeSpec.model_validate_json(spec_file.read_text())
         challenge_spec.spec_file = spec_file
         return cls.from_challenge_spec(challenge_spec)
 
@@ -187,7 +198,7 @@ async def test_method(
                     task_id = step.task_id
 
                 n_steps += 1
-                steps.append(step.copy())
+                steps.append(step.model_copy())
                 if step.additional_output:
                     agent_task_cost = step.additional_output.get(
                         "task_total_cost",
diff --git a/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_in/abstract_class.py b/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_in/abstract_class.py
index 1add2a330d86..4cc56e221232 100644
--- a/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_in/abstract_class.py
+++ b/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_in/abstract_class.py
@@ -1,7 +1,7 @@
 from abc import ABC, abstractmethod
 from typing import Optional
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel, field_validator
 
 
 # Models for the request and response payloads
@@ -10,7 +10,7 @@ class ShipPlacement(BaseModel):
     start: dict  # {"row": int, "column": str}
     direction: str
 
-    @validator("start")
+    @field_validator("start")
     def validate_start(cls, start):
         row, column = start.get("row"), start.get("column")
 
diff --git a/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_out/abstract_class.py b/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_out/abstract_class.py
index 9a1ba446fe55..ac2dfe0d605a 100644
--- a/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_out/abstract_class.py
+++ b/benchmark/agbenchmark/challenges/verticals/code/6_battleship/artifacts_out/abstract_class.py
@@ -1,7 +1,7 @@
 from abc import ABC, abstractmethod
 from typing import Optional
 
-from pydantic import BaseModel, validator
+from pydantic import BaseModel, field_validator
 
 
 # Models for the request and response payloads
@@ -10,7 +10,7 @@ class ShipPlacement(BaseModel):
     start: dict  # {"row": int, "column": str}
     direction: str
 
-    @validator("start")
+    @field_validator("start")
     def validate_start(cls, start):
         row, column = start.get("row"), start.get("column")
 
diff --git a/benchmark/agbenchmark/challenges/webarena.py b/benchmark/agbenchmark/challenges/webarena.py
index 4a25e1a57c82..30957bddc7d5 100644
--- a/benchmark/agbenchmark/challenges/webarena.py
+++ b/benchmark/agbenchmark/challenges/webarena.py
@@ -6,7 +6,7 @@
 import pytest
 import requests
 from agent_protocol_client import AgentApi, Step
-from pydantic import BaseModel, ValidationError, validator
+from pydantic import BaseModel, ValidationError, ValidationInfo, field_validator
 
 from agbenchmark.config import AgentBenchmarkConfig
 from agbenchmark.utils.data_types import Category, EvalResult
@@ -183,7 +183,7 @@ class WebArenaChallengeSpec(BaseModel):
     """The JungleGym site (base URL) at which to start"""
     require_login: bool
     require_reset: bool
-    storage_state: str | None
+    storage_state: str | None = None
 
     intent: str
     intent_template: str
@@ -195,36 +195,36 @@ class WebArenaChallengeSpec(BaseModel):
 
     class EvalSet(BaseModel):
         class StringMatchEvalSet(BaseModel):
-            exact_match: str | None
-            fuzzy_match: list[str] | None
-            must_include: list[str] | None
+            exact_match: str | None = None
+            fuzzy_match: list[str] | None = None
+            must_include: list[str] | None = None
 
-        reference_answers: StringMatchEvalSet | None
+        reference_answers: StringMatchEvalSet | None = None
         """For string_match eval, a set of criteria to judge the final answer"""
-        reference_answer_raw_annotation: str | None
-        string_note: str | None
-        annotation_note: str | None
+        reference_answer_raw_annotation: str | None = None
+        string_note: str | None = None
+        annotation_note: str | None = None
 
-        reference_url: str | None
+        reference_url: str | None = None
         """For url_match eval, the last URL that should be visited"""
-        url_note: str | None
+        url_note: str | None = None
 
         program_html: list[ProgramHtmlEval]
         """For program_html eval, a list of criteria to judge the site state by"""
 
         eval_types: list[EvalType]
 
-        @validator("eval_types")
-        def check_eval_parameters(cls, v: list[EvalType], values):
-            if "string_match" in v and not values.get("reference_answers"):
+        @field_validator("eval_types")
+        def check_eval_parameters(cls, value: list[EvalType], info: ValidationInfo):
+            if "string_match" in value and not info.data["reference_answers"]:
                 raise ValueError("'string_match' eval_type requires reference_answers")
-            if "url_match" in v and not values.get("reference_url"):
+            if "url_match" in value and not info.data["reference_url"]:
                 raise ValueError("'url_match' eval_type requires reference_url")
-            if "program_html" in v and not values.get("program_html"):
+            if "program_html" in value and not info.data["program_html"]:
                 raise ValueError(
                     "'program_html' eval_type requires at least one program_html eval"
                 )
-            return v
+            return value
 
         @property
         def evaluators(self) -> list[_Eval]:
@@ -292,7 +292,7 @@ def from_source_uri(cls, source_uri: str) -> type["WebArenaChallenge"]:
         results = requests.get(source_url).json()["data"]
         if not results:
             raise ValueError(f"Could not fetch challenge {source_uri}")
-        return cls.from_challenge_spec(WebArenaChallengeSpec.parse_obj(results[0]))
+        return cls.from_challenge_spec(WebArenaChallengeSpec.model_validate(results[0]))
 
     @classmethod
     def from_challenge_spec(
@@ -500,7 +500,7 @@ def load_webarena_challenges(
     skipped = 0
     for entry in challenge_dicts:
         try:
-            challenge_spec = WebArenaChallengeSpec.parse_obj(entry)
+            challenge_spec = WebArenaChallengeSpec.model_validate(entry)
         except ValidationError as e:
             failed += 1
             logger.warning(f"Error validating WebArena challenge entry: {entry}")
diff --git a/benchmark/agbenchmark/config.py b/benchmark/agbenchmark/config.py
index ec8974beaafc..8af664f76529 100644
--- a/benchmark/agbenchmark/config.py
+++ b/benchmark/agbenchmark/config.py
@@ -4,7 +4,8 @@
 from pathlib import Path
 from typing import Optional
 
-from pydantic import BaseSettings, Field, validator
+from pydantic import Field, ValidationInfo, field_validator
+from pydantic_settings import BaseSettings
 
 
 def _calculate_info_test_path(base_path: Path, benchmark_start_time: datetime) -> Path:
@@ -57,7 +58,7 @@ class AgentBenchmarkConfig(BaseSettings, extra="allow"):
     subject application exposes an Agent Protocol compliant API.
     """
 
-    agbenchmark_config_dir: Path = Field(..., exclude=True)
+    agbenchmark_config_dir: Path = Field(exclude=True)
     """Path to the agbenchmark_config folder of the subject agent application."""
 
     categories: list[str] | None = None
@@ -101,11 +102,11 @@ def find_config_folder(for_dir: Path = Path.cwd()) -> Path:
     def config_file(self) -> Path:
         return self.agbenchmark_config_dir / "config.json"
 
-    @validator("reports_folder", pre=True, always=True)
-    def set_reports_folder(cls, v, values):
-        if not v:
-            return values["agbenchmark_config_dir"] / "reports"
-        return v
+    @field_validator("reports_folder", mode="before")
+    def set_reports_folder(cls, value: Path, info: ValidationInfo):
+        if not value:
+            return info.data["agbenchmark_config_dir"] / "reports"
+        return value
 
     def get_report_dir(self, benchmark_start_time: datetime) -> Path:
         return _calculate_info_test_path(self.reports_folder, benchmark_start_time)
diff --git a/benchmark/agbenchmark/reports/ReportManager.py b/benchmark/agbenchmark/reports/ReportManager.py
index 76e0cab8b1b6..71930bf94070 100644
--- a/benchmark/agbenchmark/reports/ReportManager.py
+++ b/benchmark/agbenchmark/reports/ReportManager.py
@@ -111,17 +111,19 @@ def __init__(self, report_file: Path, benchmark_start_time: datetime):
     def save(self) -> None:
         with self.report_file.open("w") as f:
             if self.report:
-                f.write(self.report.json(indent=4))
+                f.write(self.report.model_dump_json(indent=4))
             else:
-                json.dump({k: v.dict() for k, v in self.tests.items()}, f, indent=4)
+                json.dump(
+                    {k: v.model_dump() for k, v in self.tests.items()}, f, indent=4
+                )
 
     def load(self) -> None:
         super().load()
 
         if "tests" in self.tests:
-            self.report = Report.parse_obj(self.tests)
+            self.report = Report.model_validate(self.tests)
         else:
-            self.tests = {n: Test.parse_obj(d) for n, d in self.tests.items()}
+            self.tests = {n: Test.model_validate(d) for n, d in self.tests.items()}
 
     def add_test_report(self, test_name: str, test_report: Test) -> None:
         if self.report:
@@ -155,7 +157,7 @@ def finalize_session_report(self, config: AgentBenchmarkConfig) -> None:
                 total_cost=self.get_total_costs(),
             ),
             tests=copy.copy(self.tests),
-            config=config.dict(exclude={"reports_folder"}, exclude_none=True),
+            config=config.model_dump(exclude={"reports_folder"}, exclude_none=True),
         )
 
         agent_categories = get_highest_achieved_difficulty_per_category(self.report)
diff --git a/benchmark/agbenchmark/reports/processing/process_report.py b/benchmark/agbenchmark/reports/processing/process_report.py
index 993cc4f3c0e8..7ee09c6d70f6 100644
--- a/benchmark/agbenchmark/reports/processing/process_report.py
+++ b/benchmark/agbenchmark/reports/processing/process_report.py
@@ -27,7 +27,7 @@ def get_reports_data(report_path: str) -> dict[str, Any]:
         with open(Path(subdir) / file, "r") as f:
             # Load the JSON data from the file
             json_data = json.load(f)
-            converted_data = Report.parse_obj(json_data)
+            converted_data = Report.model_validate(json_data)
             # get the last directory name in the path as key
             reports_data[subdir_name] = converted_data
 
diff --git a/benchmark/agbenchmark/reports/processing/report_types.py b/benchmark/agbenchmark/reports/processing/report_types.py
index 0900e21bd00f..57d7f2c70c88 100644
--- a/benchmark/agbenchmark/reports/processing/report_types.py
+++ b/benchmark/agbenchmark/reports/processing/report_types.py
@@ -6,7 +6,13 @@
 from typing import Annotated, Any, Dict, List
 
 from agent_protocol_client import Step
-from pydantic import BaseModel, Field, constr, validator
+from pydantic import (
+    BaseModel,
+    Field,
+    StringConstraints,
+    ValidationInfo,
+    field_validator,
+)
 
 datetime_format = r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\+00:00$"
 logger = logging.getLogger(__name__)
@@ -30,20 +36,20 @@ class TestResult(BaseModel):
     cost: float | None = None
     """The (known) cost incurred by the run, e.g. from using paid LLM APIs"""
 
-    @validator("fail_reason")
-    def success_xor_fail_reason(cls, v: str | None, values: dict[str, Any]):
-        if bool(v) == bool(values["success"]):
+    @field_validator("fail_reason")
+    def success_xor_fail_reason(cls, value, info: ValidationInfo):
+        if bool(value) == bool(info.data["success"]):
             logger.error(
                 "Error validating `success ^ fail_reason` on TestResult: "
-                f"success = {repr(values['success'])}; "
-                f"fail_reason = {repr(v)}"
+                f"success = {repr(info.data['success'])}; "
+                f"fail_reason = {repr(value)}"
             )
-        if v:
-            success = values["success"]
+        if value:
+            success = info.data["success"]
             assert not success, "fail_reason must only be specified if success=False"
         else:
-            assert values["success"], "fail_reason is required if success=False"
-        return v
+            assert info.data["success"], "fail_reason is required if success=False"
+        return value
 
 
 class TestMetrics(BaseModel):
@@ -88,7 +94,7 @@ class Test(BaseModel):
 class ReportBase(BaseModel):
     command: str
     completion_time: str | None = None
-    benchmark_start_time: Annotated[str, constr(regex=datetime_format)]
+    benchmark_start_time: Annotated[str, StringConstraints(pattern=datetime_format)]
     metrics: MetricsOverall
     config: Dict[str, str | dict[str, str]]
     agent_git_commit_sha: str | None = None
diff --git a/benchmark/agbenchmark/reports/processing/report_types_v2.py b/benchmark/agbenchmark/reports/processing/report_types_v2.py
index 6ae0aa5c907c..2491238d42e7 100644
--- a/benchmark/agbenchmark/reports/processing/report_types_v2.py
+++ b/benchmark/agbenchmark/reports/processing/report_types_v2.py
@@ -1,7 +1,7 @@
 """Model definitions for use in the API"""
 from typing import Annotated
 
-from pydantic import BaseModel, constr
+from pydantic import BaseModel, StringConstraints
 
 datetime_format = r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}\+00:00$"
 
@@ -37,7 +37,7 @@ class RunDetails(BaseModel):
     run_id: str | None = None
     command: str
     completion_time: str | None = None
-    benchmark_start_time: Annotated[str, constr(regex=datetime_format)]
+    benchmark_start_time: Annotated[str, StringConstraints(pattern=datetime_format)]
 
 
 class BenchmarkRun(BaseModel):
diff --git a/benchmark/agbenchmark/reports/reports.py b/benchmark/agbenchmark/reports/reports.py
index 431f4ba6e2be..d4f16cbad861 100644
--- a/benchmark/agbenchmark/reports/reports.py
+++ b/benchmark/agbenchmark/reports/reports.py
@@ -45,7 +45,7 @@ def update_regression_tests(
         # if the last 3 tests were successful, add to the regression tests
         test_report.metrics.is_regression = True
         SingletonReportManager().REGRESSION_MANAGER.add_test(
-            test_name, test_report.dict(include={"difficulty", "data_path"})
+            test_name, test_report.model_dump(include={"difficulty", "data_path"})
         )
 
 
diff --git a/benchmark/agbenchmark/schema.py b/benchmark/agbenchmark/schema.py
index 190710c35723..5a0b5b2a80c7 100644
--- a/benchmark/agbenchmark/schema.py
+++ b/benchmark/agbenchmark/schema.py
@@ -7,10 +7,9 @@
 
 class TaskRequestBody(BaseModel):
     input: str = Field(
-        ...,
         min_length=1,
         description="Input prompt for the task.",
-        example="Write the words you receive to the file 'output.txt'.",
+        examples=["Write the words you receive to the file 'output.txt'."],
     )
     additional_input: Optional[dict[str, Any]] = Field(default_factory=dict)
 
diff --git a/benchmark/agbenchmark/utils/dependencies/main.py b/benchmark/agbenchmark/utils/dependencies/main.py
index 3127a46a0ec8..936625abf8d0 100644
--- a/benchmark/agbenchmark/utils/dependencies/main.py
+++ b/benchmark/agbenchmark/utils/dependencies/main.py
@@ -220,7 +220,7 @@ def sorted_items(self) -> Generator:
         labels = {}
         for item in self.items:
             assert item.cls and issubclass(item.cls, BaseChallenge)
-            data = item.cls.info.dict()
+            data = item.cls.info.model_dump()
 
             node_name = get_name(item)
             data["name"] = node_name
diff --git a/benchmark/agbenchmark/utils/utils.py b/benchmark/agbenchmark/utils/utils.py
index 52d679e39e66..3c1a304533d2 100644
--- a/benchmark/agbenchmark/utils/utils.py
+++ b/benchmark/agbenchmark/utils/utils.py
@@ -135,7 +135,7 @@ def pretty_print_model(model: BaseModel, include_header: bool = True) -> None:
     if include_header:
         # Try to find the ID and/or name attribute of the model
         id, name = None, None
-        for attr, value in model.dict().items():
+        for attr, value in model.model_dump().items():
             if attr == "id" or attr.endswith("_id"):
                 id = value
             if attr.endswith("name"):
@@ -148,8 +148,8 @@ def pretty_print_model(model: BaseModel, include_header: bool = True) -> None:
         )
         indent = " " * 2
 
-    k_col_width = max(len(k) for k in model.dict().keys())
-    for k, v in model.dict().items():
+    k_col_width = max(len(k) for k in model.model_dump().keys())
+    for k, v in model.model_dump().items():
         v_fmt = repr(v)
         if v is None or v == "":
             v_fmt = click.style(v_fmt, fg="black")
diff --git a/benchmark/poetry.lock b/benchmark/poetry.lock
index 992adbc1f1e8..25a63e4481ad 100644
--- a/benchmark/poetry.lock
+++ b/benchmark/poetry.lock
@@ -5,17 +5,22 @@ name = "agent-protocol-client"
 version = "1.1.0"
 description = "Agent Communication Protocol Client"
 optional = false
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "agent_protocol_client-1.1.0-py3-none-any.whl", hash = "sha256:0e8c6c97244189666ed18e320410abddce8c9dfb75437da1e590bbef3b6268be"},
-    {file = "agent_protocol_client-1.1.0.tar.gz", hash = "sha256:aa7e1042de1249477fdc29c2df08a44f2233dade9c02c1279e37c98e9d3a0d72"},
-]
+python-versions = "^3.7"
+files = []
+develop = false
 
 [package.dependencies]
-aiohttp = ">=3.8.4,<4.0.0"
-pydantic = ">=1.10.5,<2.0.0"
-python-dateutil = ">=2.8.2,<3.0.0"
-urllib3 = ">=1.25.3,<2.0.0"
+aiohttp = "^3.8.4"
+pydantic = ">=1.10.5, <3.0.0"
+python-dateutil = "^2.8.2"
+urllib3 = "^1.25.3"
+
+[package.source]
+type = "git"
+url = "https://github.com/Significant-Gravitas/agent-protocol.git"
+reference = "HEAD"
+resolved_reference = "beb098517b0b9e255024d1b57df236f0329f4b1c"
+subdirectory = "packages/client/python"
 
 [[package]]
 name = "aiohttp"
@@ -127,6 +132,17 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "anyio"
 version = "4.2.0"
@@ -1440,85 +1456,101 @@ files = [
 
 [[package]]
 name = "multidict"
-version = "6.0.4"
+version = "6.0.5"
 description = "multidict implementation"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "multidict-6.0.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b1a97283e0c85772d613878028fec909f003993e1007eafa715b24b377cb9b8"},
-    {file = "multidict-6.0.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:eeb6dcc05e911516ae3d1f207d4b0520d07f54484c49dfc294d6e7d63b734171"},
-    {file = "multidict-6.0.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:d6d635d5209b82a3492508cf5b365f3446afb65ae7ebd755e70e18f287b0adf7"},
-    {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c048099e4c9e9d615545e2001d3d8a4380bd403e1a0578734e0d31703d1b0c0b"},
-    {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ea20853c6dbbb53ed34cb4d080382169b6f4554d394015f1bef35e881bf83547"},
-    {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16d232d4e5396c2efbbf4f6d4df89bfa905eb0d4dc5b3549d872ab898451f569"},
-    {file = "multidict-6.0.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36c63aaa167f6c6b04ef2c85704e93af16c11d20de1d133e39de6a0e84582a93"},
-    {file = "multidict-6.0.4-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:64bdf1086b6043bf519869678f5f2757f473dee970d7abf6da91ec00acb9cb98"},
-    {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:43644e38f42e3af682690876cff722d301ac585c5b9e1eacc013b7a3f7b696a0"},
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-    {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:ddff9c4e225a63a5afab9dd15590432c22e8057e1a9a13d28ed128ecf047bbdc"},
-    {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:ee2a1ece51b9b9e7752e742cfb661d2a29e7bcdba2d27e66e28a99f1890e4fa0"},
-    {file = "multidict-6.0.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a2e4369eb3d47d2034032a26c7a80fcb21a2cb22e1173d761a162f11e562caa5"},
-    {file = "multidict-6.0.4-cp310-cp310-win32.whl", hash = "sha256:574b7eae1ab267e5f8285f0fe881f17efe4b98c39a40858247720935b893bba8"},
-    {file = "multidict-6.0.4-cp310-cp310-win_amd64.whl", hash = "sha256:4dcbb0906e38440fa3e325df2359ac6cb043df8e58c965bb45f4e406ecb162cc"},
-    {file = "multidict-6.0.4-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0dfad7a5a1e39c53ed00d2dd0c2e36aed4650936dc18fd9a1826a5ae1cad6f03"},
-    {file = "multidict-6.0.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:64da238a09d6039e3bd39bb3aee9c21a5e34f28bfa5aa22518581f910ff94af3"},
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 ]
 
 [package.dependencies]
-typing-extensions = ">=4.2.0"
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
 
 [[package]]
 name = "pyflakes"
@@ -2839,4 +2948,4 @@ multidict = ">=4.0"
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "e2f776ebc12fd879b0ad60ffff4a7eae23cbf21214bcf85c1e89167da51f9e44"
+content-hash = "26bd75befe5223095b65be293086edf52f34f9043e49107c80a105dc0387dd6a"
diff --git a/benchmark/pyproject.toml b/benchmark/pyproject.toml
index 349972a3c469..804cf1b43825 100644
--- a/benchmark/pyproject.toml
+++ b/benchmark/pyproject.toml
@@ -9,8 +9,7 @@ packages = [{ include = "agbenchmark" }]
 
 [tool.poetry.dependencies]
 python = "^3.10"
-# helicone = "^1.0.9"  # incompatible with openai@^1.0.0
-agent-protocol-client = "^1.1.0"
+agent-protocol-client = {git = "https://github.com/Significant-Gravitas/agent-protocol.git", subdirectory = "packages/client/python"}
 click = "^8.1.3"
 click-default-group = "^1.2.4"
 colorama = "^0.4.6"
@@ -18,12 +17,15 @@ fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 httpx = "^0.24.0"
 matplotlib = "^3.7.2"
+# Multidict 6.0.4 fails to install and is a dependency of aiohttp which is a depenedency of agent-protocol-client
+multidict = "^6.0.5"
 networkx = "^3.1"
 openai = "^1.7.2"
 pandas = "^2.0.3"
 pexpect = "^4.8.0"
 psutil = "^5.9.5"
-pydantic = "^1.10.9"
+pydantic = "^2.7.2"
+pydantic-settings = "^2.3.4"
 pytest = "^7.3.2"
 pytest-asyncio = "^0.23.3"
 python-dotenv = "^1.0.0"
diff --git a/benchmark/reports/format.py b/benchmark/reports/format.py
index 8a43ea1e37f0..e4b6469db9bf 100755
--- a/benchmark/reports/format.py
+++ b/benchmark/reports/format.py
@@ -1,5 +1,6 @@
 #!/usr/bin/env python3
 
+from pathlib import Path
 import click
 
 from agbenchmark.reports.processing.report_types import Report
@@ -7,14 +8,14 @@
 
 @click.command()
 @click.argument("report_json_file", type=click.Path(exists=True, dir_okay=False))
-def print_markdown_report(report_json_file: str):
+def print_markdown_report(report_json_file: Path):
     """
     Generates a Markdown report from a given report.json file.
 
     :param report_json_file: Path to the report.json file.
     :return: A string containing the Markdown formatted report.
     """
-    report = Report.parse_file(report_json_file)
+    report = Report.model_validate_json(report_json_file.read_text())
 
     # Header and metadata
     click.echo("# Benchmark Report")
diff --git a/benchmark/reports/match_records.py b/benchmark/reports/match_records.py
index 251fa68c601e..916611a3bb1e 100644
--- a/benchmark/reports/match_records.py
+++ b/benchmark/reports/match_records.py
@@ -14,7 +14,7 @@
 class Metrics(BaseModel):
     difficulty: str
     success: bool
-    success_percent: float = Field(..., alias="success_%")
+    success_percent: float = Field(alias="success_%")
     run_time: Optional[str] = None
     fail_reason: Optional[str] = None
     attempted: Optional[bool] = None
@@ -100,7 +100,7 @@ def get_reports():
                         # Load the JSON data from the file
                         json_data = json.load(f)
                         print(f"Processing {report_file}")
-                        report = Report.parse_obj(json_data)
+                        report = Report.model_validate(json_data)
 
                         for test_name, test_data in report.tests.items():
                             test_json = {
diff --git a/forge/forge/agent/base.py b/forge/forge/agent/base.py
index 91450feb823d..8d3b3be402c1 100644
--- a/forge/forge/agent/base.py
+++ b/forge/forge/agent/base.py
@@ -2,7 +2,6 @@
 
 import copy
 import inspect
-import json
 import logging
 from abc import ABCMeta, abstractmethod
 from typing import (
@@ -19,7 +18,8 @@
 )
 
 from colorama import Fore
-from pydantic import BaseModel, Field, parse_raw_as, validator
+from pydantic import BaseModel, Field, ValidationInfo, field_validator
+from pydantic_core import from_json, to_json
 
 from forge.agent import protocols
 from forge.agent.components import (
@@ -47,11 +47,6 @@
 )
 
 
-# HACK: This is a workaround wrapper to de/serialize component configs until pydantic v2
-class ModelContainer(BaseModel):
-    models: dict[str, BaseModel]
-
-
 class BaseAgentConfiguration(SystemConfiguration):
     allow_fs_access: bool = UserConfigurable(default=False)
 
@@ -77,10 +72,10 @@ class BaseAgentConfiguration(SystemConfiguration):
     `0` to stop the agent.
     """
 
-    cycles_remaining = cycle_budget
+    cycles_remaining: int = cycle_budget
     """The number of cycles remaining within the `cycle_budget`."""
 
-    cycle_count = 0
+    cycle_count: int = 0
     """The number of cycles that the agent has run since its initialization."""
 
     send_token_limit: Optional[int] = None
@@ -89,11 +84,11 @@ class BaseAgentConfiguration(SystemConfiguration):
     defaults to 75% of `llm.max_tokens`.
     """
 
-    @validator("use_functions_api")
-    def validate_openai_functions(cls, v: bool, values: dict[str, Any]):
-        if v:
-            smart_llm = values["smart_llm"]
-            fast_llm = values["fast_llm"]
+    @field_validator("use_functions_api")
+    def validate_openai_functions(cls, value: bool, info: ValidationInfo):
+        if value:
+            smart_llm = info.data["smart_llm"]
+            fast_llm = info.data["fast_llm"]
             assert all(
                 [
                     not any(s in name for s in {"-0301", "-0314"})
@@ -103,7 +98,7 @@ def validate_openai_functions(cls, v: bool, values: dict[str, Any]):
                 f"Model {smart_llm} does not support OpenAI Functions. "
                 "Please disable OPENAI_FUNCTIONS or choose a suitable model."
             )
-        return v
+        return value
 
 
 class BaseAgentSettings(SystemSettings):
@@ -277,17 +272,15 @@ async def run_pipeline(
         return method_result
 
     def dump_component_configs(self) -> str:
-        configs = {}
+        configs: dict[str, Any] = {}
         for component in self.components:
             if isinstance(component, ConfigurableComponent):
                 config_type_name = component.config.__class__.__name__
                 configs[config_type_name] = component.config
-        data = ModelContainer(models=configs).json()
-        raw = parse_raw_as(dict[str, dict[str, Any]], data)
-        return json.dumps(raw["models"], indent=4)
+        return to_json(configs).decode()
 
     def load_component_configs(self, serialized_configs: str):
-        configs_dict = parse_raw_as(dict[str, dict[str, Any]], serialized_configs)
+        configs_dict: dict[str, dict[str, Any]] = from_json(serialized_configs)
 
         for component in self.components:
             if not isinstance(component, ConfigurableComponent):
@@ -297,7 +290,7 @@ def load_component_configs(self, serialized_configs: str):
             if config_type_name in configs_dict:
                 # Parse the serialized data and update the existing config
                 updated_data = configs_dict[config_type_name]
-                data = {**component.config.dict(), **updated_data}
+                data = {**component.config.model_dump(), **updated_data}
                 component.config = component.config.__class__(**data)
 
     def _collect_components(self):
@@ -353,7 +346,7 @@ def _selective_copy(self, args: tuple[Any, ...]) -> tuple[Any, ...]:
                 copied_item = item.copy()
             elif isinstance(item, BaseModel):
                 # Deep copy for Pydantic models (deep=True to also copy nested models)
-                copied_item = item.copy(deep=True)
+                copied_item = item.model_copy(deep=True)
             else:
                 # Deep copy for other objects
                 copied_item = copy.deepcopy(item)
diff --git a/forge/forge/agent/components.py b/forge/forge/agent/components.py
index d97a5cd53440..c1fd1731d7c5 100644
--- a/forge/forge/agent/components.py
+++ b/forge/forge/agent/components.py
@@ -67,7 +67,7 @@ def config(self, config: BM):
         if not hasattr(self, "_config") or self._config is None:
             # Load configuration from environment variables
             updated = _update_user_config_from_env(config)
-            config = self.config_class(**deep_update(config.dict(), updated))
+            config = self.config_class(**deep_update(config.model_dump(), updated))
         self._config = config
 
 
diff --git a/forge/forge/agent/forge_agent.py b/forge/forge/agent/forge_agent.py
index f494ccb56723..e6e84e1d215e 100644
--- a/forge/forge/agent/forge_agent.py
+++ b/forge/forge/agent/forge_agent.py
@@ -149,7 +149,7 @@ async def propose_action(self) -> ActionProposal:
         self.reset_trace()
 
         # Get directives
-        directives = self.state.directives.copy(deep=True)
+        directives = self.state.directives.model_copy(deep=True)
         directives.resources += await self.run_pipeline(DirectiveProvider.get_resources)
         directives.constraints += await self.run_pipeline(
             DirectiveProvider.get_constraints
diff --git a/forge/forge/agent_protocol/models/artifact.py b/forge/forge/agent_protocol/models/artifact.py
index 3219063bf92f..df17b99235eb 100644
--- a/forge/forge/agent_protocol/models/artifact.py
+++ b/forge/forge/agent_protocol/models/artifact.py
@@ -1,38 +1,34 @@
 from datetime import datetime
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 
 class Artifact(BaseModel):
     created_at: datetime = Field(
-        ...,
         description="The creation datetime of the task.",
-        example="2023-01-01T00:00:00Z",
-        json_encoders={datetime: lambda v: v.isoformat()},
+        examples=["2023-01-01T00:00:00Z"],
     )
     modified_at: datetime = Field(
-        ...,
         description="The modification datetime of the task.",
-        example="2023-01-01T00:00:00Z",
-        json_encoders={datetime: lambda v: v.isoformat()},
+        examples=["2023-01-01T00:00:00Z"],
     )
     artifact_id: str = Field(
-        ...,
         description="ID of the artifact.",
-        example="b225e278-8b4c-4f99-a696-8facf19f0e56",
+        examples=["b225e278-8b4c-4f99-a696-8facf19f0e56"],
     )
     agent_created: bool = Field(
-        ...,
         description="Whether the artifact has been created by the agent.",
-        example=False,
+        examples=[False],
     )
     relative_path: str = Field(
-        ...,
         description="Relative path of the artifact in the agents workspace.",
-        example="/my_folder/my_other_folder/",
+        examples=["/my_folder/my_other_folder/"],
     )
     file_name: str = Field(
-        ...,
         description="Filename of the artifact.",
-        example="main.py",
+        examples=["main.py"],
+    )
+
+    model_config = ConfigDict(
+        json_encoders={datetime: lambda v: v.isoformat()},
     )
diff --git a/forge/forge/agent_protocol/models/pagination.py b/forge/forge/agent_protocol/models/pagination.py
index 1f77d97ae48f..4c98ce8a0253 100644
--- a/forge/forge/agent_protocol/models/pagination.py
+++ b/forge/forge/agent_protocol/models/pagination.py
@@ -2,7 +2,7 @@
 
 
 class Pagination(BaseModel):
-    total_items: int = Field(..., description="Total number of items.", example=42)
-    total_pages: int = Field(..., description="Total number of pages.", example=97)
-    current_page: int = Field(..., description="Current_page page number.", example=1)
-    page_size: int = Field(..., description="Number of items per page.", example=25)
+    total_items: int = Field(description="Total number of items.", examples=[42])
+    total_pages: int = Field(description="Total number of pages.", examples=[97])
+    current_page: int = Field(description="Current_page page number.", examples=[1])
+    page_size: int = Field(description="Number of items per page.", examples=[25])
diff --git a/forge/forge/agent_protocol/models/task.py b/forge/forge/agent_protocol/models/task.py
index c7e30cbdbb0d..2d15bcc2bde6 100644
--- a/forge/forge/agent_protocol/models/task.py
+++ b/forge/forge/agent_protocol/models/task.py
@@ -4,7 +4,7 @@
 from enum import Enum
 from typing import Any, List, Optional
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 from .artifact import Artifact
 from .pagination import Pagination
@@ -12,48 +12,48 @@
 
 class TaskRequestBody(BaseModel):
     input: str = Field(
-        ...,
         min_length=1,
         description="Input prompt for the task.",
-        example="Write the words you receive to the file 'output.txt'.",
+        examples=["Write the words you receive to the file 'output.txt'."],
     )
     additional_input: dict[str, Any] = Field(default_factory=dict)
 
 
 class Task(TaskRequestBody):
     created_at: datetime = Field(
-        ...,
         description="The creation datetime of the task.",
-        example="2023-01-01T00:00:00Z",
-        json_encoders={datetime: lambda v: v.isoformat()},
+        examples=["2023-01-01T00:00:00Z"],
     )
     modified_at: datetime = Field(
-        ...,
         description="The modification datetime of the task.",
-        example="2023-01-01T00:00:00Z",
-        json_encoders={datetime: lambda v: v.isoformat()},
+        examples=["2023-01-01T00:00:00Z"],
     )
     task_id: str = Field(
-        ...,
         description="The ID of the task.",
-        example="50da533e-3904-4401-8a07-c49adf88b5eb",
+        examples=["50da533e-3904-4401-8a07-c49adf88b5eb"],
     )
     artifacts: list[Artifact] = Field(
         default_factory=list,
         description="A list of artifacts that the task has produced.",
-        example=[
+        examples=[
             "7a49f31c-f9c6-4346-a22c-e32bc5af4d8e",
             "ab7b4091-2560-4692-a4fe-d831ea3ca7d6",
         ],
     )
 
+    model_config = ConfigDict(
+        json_encoders={datetime: lambda v: v.isoformat()},
+    )
+
 
 class StepRequestBody(BaseModel):
     name: Optional[str] = Field(
-        default=None, description="The name of the task step.", example="Write to file"
+        default=None,
+        description="The name of the task step.",
+        examples=["Write to file"],
     )
     input: str = Field(
-        ..., description="Input prompt for the step.", example="Washington"
+        description="Input prompt for the step.", examples=["Washington"]
     )
     additional_input: dict[str, Any] = Field(default_factory=dict)
 
@@ -66,40 +66,44 @@ class StepStatus(Enum):
 
 class Step(StepRequestBody):
     created_at: datetime = Field(
-        ...,
         description="The creation datetime of the task.",
-        example="2023-01-01T00:00:00Z",
-        json_encoders={datetime: lambda v: v.isoformat()},
+        examples=[
+            "2023-01-01T00:00:00Z",
+        ],
     )
     modified_at: datetime = Field(
-        ...,
         description="The modification datetime of the task.",
-        example="2023-01-01T00:00:00Z",
-        json_encoders={datetime: lambda v: v.isoformat()},
+        examples=[
+            "2023-01-01T00:00:00Z",
+        ],
     )
     task_id: str = Field(
-        ...,
         description="The ID of the task this step belongs to.",
-        example="50da533e-3904-4401-8a07-c49adf88b5eb",
+        examples=[
+            "50da533e-3904-4401-8a07-c49adf88b5eb",
+        ],
     )
     step_id: str = Field(
-        ...,
         description="The ID of the task step.",
-        example="6bb1801a-fd80-45e8-899a-4dd723cc602e",
+        examples=[
+            "6bb1801a-fd80-45e8-899a-4dd723cc602e",
+        ],
     )
     name: Optional[str] = Field(
-        default=None, description="The name of the task step.", example="Write to file"
+        default=None,
+        description="The name of the task step.",
+        examples=["Write to file"],
     )
     status: StepStatus = Field(
-        ..., description="The status of the task step.", example="created"
+        description="The status of the task step.", examples=["created"]
     )
     output: Optional[str] = Field(
         default=None,
         description="Output of the task step.",
-        example=(
+        examples=[
             "I am going to use the write_to_file command and write Washington "
             "to a file called output.txt <write_to_file('output.txt', 'Washington')"
-        ),
+        ],
     )
     additional_output: Optional[dict[str, Any]] = None
     artifacts: list[Artifact] = Field(
@@ -107,7 +111,11 @@ class Step(StepRequestBody):
         description="A list of artifacts that the step has produced.",
     )
     is_last: bool = Field(
-        ..., description="Whether this is the last step in the task.", example=True
+        description="Whether this is the last step in the task.", examples=[True]
+    )
+
+    model_config = ConfigDict(
+        json_encoders={datetime: lambda v: v.isoformat()},
     )
 
 
diff --git a/forge/forge/components/action_history/model.py b/forge/forge/components/action_history/model.py
index d619dc934852..299db98667e2 100644
--- a/forge/forge/components/action_history/model.py
+++ b/forge/forge/components/action_history/model.py
@@ -3,8 +3,7 @@
 import asyncio
 from typing import TYPE_CHECKING, Generic
 
-from pydantic import Field
-from pydantic.generics import GenericModel
+from pydantic import BaseModel, Field
 
 from forge.content_processing.text import summarize_text
 from forge.llm.prompting.utils import format_numbered_list, indent
@@ -16,7 +15,7 @@
     from forge.llm.providers import MultiProvider
 
 
-class Episode(GenericModel, Generic[AnyProposal]):
+class Episode(BaseModel, Generic[AnyProposal]):
     action: AnyProposal
     result: ActionResult | None
     summary: str | None = None
@@ -52,7 +51,7 @@ def __str__(self) -> str:
         return executed_action + action_result
 
 
-class EpisodicActionHistory(GenericModel, Generic[AnyProposal]):
+class EpisodicActionHistory(BaseModel, Generic[AnyProposal]):
     """Utility container for an action history"""
 
     episodes: list[Episode[AnyProposal]] = Field(default_factory=list)
diff --git a/forge/forge/components/code_executor/code_executor.py b/forge/forge/components/code_executor/code_executor.py
index 37bdb1a51df2..141492035104 100644
--- a/forge/forge/components/code_executor/code_executor.py
+++ b/forge/forge/components/code_executor/code_executor.py
@@ -83,7 +83,9 @@ def __init__(
 
         # Change container name if it's empty or default to prevent different agents
         # from using the same container
-        default_container_name = self.config.__fields__["docker_container_name"].default
+        default_container_name = self.config.model_fields[
+            "docker_container_name"
+        ].default
         if (
             not self.config.docker_container_name
             or self.config.docker_container_name == default_container_name
diff --git a/forge/forge/components/file_manager/file_manager.py b/forge/forge/components/file_manager/file_manager.py
index 8eb674c8f37c..be7c584758bc 100644
--- a/forge/forge/components/file_manager/file_manager.py
+++ b/forge/forge/components/file_manager/file_manager.py
@@ -3,7 +3,7 @@
 from pathlib import Path
 from typing import Iterator, Optional
 
-from pydantic import BaseModel
+from pydantic import BaseModel, ConfigDict
 
 from forge.agent import BaseAgentSettings
 from forge.agent.components import ConfigurableComponent
@@ -22,10 +22,11 @@ class FileManagerConfiguration(BaseModel):
     workspace_path: str
     """Path to files that agent has access to"""
 
-    class Config:
+    model_config = ConfigDict(
         # Prevent mutation of the configuration
         # as this wouldn't be reflected in the file storage
-        allow_mutation = False
+        frozen=False
+    )
 
 
 class FileManagerComponent(
@@ -88,7 +89,8 @@ async def save_state(self, save_as_id: Optional[str] = None) -> None:
             self._file_storage.make_dir(f"agents/{save_as_id}")
             # Save state
             await self._file_storage.write_file(
-                f"agents/{save_as_id}/{self.STATE_FILE}", self.agent_state.json()
+                f"agents/{save_as_id}/{self.STATE_FILE}",
+                self.agent_state.model_dump_json(),
             )
             # Copy workspace
             self._file_storage.copy(
@@ -97,7 +99,7 @@ async def save_state(self, save_as_id: Optional[str] = None) -> None:
             )
         else:
             await self.storage.write_file(
-                self.storage.root / self.STATE_FILE, self.agent_state.json()
+                self.storage.root / self.STATE_FILE, self.agent_state.model_dump_json()
             )
 
     def get_resources(self) -> Iterator[str]:
diff --git a/forge/forge/components/git_operations/git_operations.py b/forge/forge/components/git_operations/git_operations.py
index c6deb62fea46..fa326cbdd79c 100644
--- a/forge/forge/components/git_operations/git_operations.py
+++ b/forge/forge/components/git_operations/git_operations.py
@@ -14,9 +14,9 @@
 
 
 class GitOperationsConfiguration(BaseModel):
-    github_username: Optional[str] = UserConfigurable(from_env="GITHUB_USERNAME")
+    github_username: Optional[str] = UserConfigurable(None, from_env="GITHUB_USERNAME")
     github_api_key: Optional[SecretStr] = UserConfigurable(
-        from_env="GITHUB_API_KEY", exclude=True
+        None, from_env="GITHUB_API_KEY", exclude=True
     )
 
 
diff --git a/forge/forge/components/image_gen/image_gen.py b/forge/forge/components/image_gen/image_gen.py
index d39268acd112..b05ca0635d60 100644
--- a/forge/forge/components/image_gen/image_gen.py
+++ b/forge/forge/components/image_gen/image_gen.py
@@ -27,11 +27,11 @@ class ImageGeneratorConfiguration(BaseModel):
     image_provider: Literal["dalle", "huggingface", "sdwebui"] = "dalle"
     huggingface_image_model: str = "CompVis/stable-diffusion-v1-4"
     huggingface_api_token: Optional[SecretStr] = UserConfigurable(
-        from_env="HUGGINGFACE_API_TOKEN", exclude=True
+        None, from_env="HUGGINGFACE_API_TOKEN", exclude=True
     )
     sd_webui_url: str = "http://localhost:7860"
     sd_webui_auth: Optional[SecretStr] = UserConfigurable(
-        from_env="SD_WEBUI_AUTH", exclude=True
+        None, from_env="SD_WEBUI_AUTH", exclude=True
     )
 
 
diff --git a/forge/forge/components/web/search.py b/forge/forge/components/web/search.py
index bbe4aef7dfb5..73d2bc6f2882 100644
--- a/forge/forge/components/web/search.py
+++ b/forge/forge/components/web/search.py
@@ -18,10 +18,10 @@
 
 class WebSearchConfiguration(BaseModel):
     google_api_key: Optional[SecretStr] = UserConfigurable(
-        from_env="GOOGLE_API_KEY", exclude=True
+        None, from_env="GOOGLE_API_KEY", exclude=True
     )
     google_custom_search_engine_id: Optional[SecretStr] = UserConfigurable(
-        from_env="GOOGLE_CUSTOM_SEARCH_ENGINE_ID", exclude=True
+        None, from_env="GOOGLE_CUSTOM_SEARCH_ENGINE_ID", exclude=True
     )
     duckduckgo_max_attempts: int = 3
 
diff --git a/forge/forge/config/ai_directives.py b/forge/forge/config/ai_directives.py
index 2b6f0f0eaf88..7921f8f291f5 100644
--- a/forge/forge/config/ai_directives.py
+++ b/forge/forge/config/ai_directives.py
@@ -25,4 +25,4 @@ def __add__(self, other: AIDirectives) -> AIDirectives:
             resources=self.resources + other.resources,
             constraints=self.constraints + other.constraints,
             best_practices=self.best_practices + other.best_practices,
-        ).copy(deep=True)
+        ).model_copy(deep=True)
diff --git a/forge/forge/llm/prompting/schema.py b/forge/forge/llm/prompting/schema.py
index 0b0008a37920..b053806afebf 100644
--- a/forge/forge/llm/prompting/schema.py
+++ b/forge/forge/llm/prompting/schema.py
@@ -27,7 +27,7 @@ class ChatPrompt(BaseModel):
     prefill_response: str = ""
 
     def raw(self) -> list[ChatMessageDict]:
-        return [m.dict() for m in self.messages]  # type: ignore
+        return [m.model_dump() for m in self.messages]  # type: ignore
 
     def __str__(self):
         return "\n\n".join(
diff --git a/forge/forge/llm/providers/_openai_base.py b/forge/forge/llm/providers/_openai_base.py
index 852876286b3a..1ad790c513ad 100644
--- a/forge/forge/llm/providers/_openai_base.py
+++ b/forge/forge/llm/providers/_openai_base.py
@@ -10,6 +10,7 @@
     Sequence,
     TypeVar,
     cast,
+    get_args,
 )
 
 import sentry_sdk
@@ -67,11 +68,11 @@ def __init__(
             raise ValueError(f"{self.__class__.__name__}.MODELS is not set")
 
         if not settings:
-            settings = self.default_settings.copy(deep=True)
+            settings = self.default_settings.model_copy(deep=True)
         if not settings.credentials:
-            settings.credentials = self.default_settings.__fields__[
-                "credentials"
-            ].type_.from_env()
+            settings.credentials = get_args(  # Union[Credentials, None] -> Credentials
+                self.default_settings.model_fields["credentials"].annotation
+            )[0].from_env()
 
         super(_BaseOpenAIProvider, self).__init__(settings=settings, logger=logger)
 
@@ -248,7 +249,7 @@ async def create_chat_completion(
                     openai_messages.append(
                         cast(
                             ChatCompletionAssistantMessageParam,
-                            _assistant_msg.dict(exclude_none=True),
+                            _assistant_msg.model_dump(exclude_none=True),
                         )
                     )
                     openai_messages.append(
@@ -309,7 +310,7 @@ def _get_chat_completion_args(
             kwargs["extra_headers"].update(extra_headers.copy())  # type: ignore
 
         prepped_messages: list[ChatCompletionMessageParam] = [
-            message.dict(  # type: ignore
+            message.model_dump(  # type: ignore
                 include={"role", "content", "tool_calls", "tool_call_id", "name"},
                 exclude_none=True,
             )
diff --git a/forge/forge/llm/providers/anthropic.py b/forge/forge/llm/providers/anthropic.py
index 2f8d21571dbf..716e183c067c 100644
--- a/forge/forge/llm/providers/anthropic.py
+++ b/forge/forge/llm/providers/anthropic.py
@@ -120,7 +120,7 @@ def __init__(
         logger: Optional[logging.Logger] = None,
     ):
         if not settings:
-            settings = self.default_settings.copy(deep=True)
+            settings = self.default_settings.model_copy(deep=True)
         if not settings.credentials:
             settings.credentials = AnthropicCredentials.from_env()
 
@@ -241,7 +241,7 @@ async def create_chat_completion(
                 )
                 if attempts < self._configuration.fix_failed_parse_tries:
                     anthropic_messages.append(
-                        _assistant_msg.dict(include={"role", "content"})  # type: ignore
+                        _assistant_msg.model_dump(include={"role", "content"})  # type: ignore # noqa
                     )
                     anthropic_messages.append(
                         {
diff --git a/forge/forge/llm/providers/multi.py b/forge/forge/llm/providers/multi.py
index 93784cd2eae5..0606511043c2 100644
--- a/forge/forge/llm/providers/multi.py
+++ b/forge/forge/llm/providers/multi.py
@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import logging
-from typing import Any, Callable, Iterator, Optional, Sequence, TypeVar
+from typing import Any, Callable, Iterator, Optional, Sequence, TypeVar, get_args
 
 from pydantic import ValidationError
 
@@ -125,14 +125,16 @@ def _get_provider(self, provider_name: ModelProviderName) -> ChatModelProvider:
         _provider = self._provider_instances.get(provider_name)
         if not _provider:
             Provider = self._get_provider_class(provider_name)
-            settings = Provider.default_settings.copy(deep=True)
+            settings = Provider.default_settings.model_copy(deep=True)
             settings.budget = self._budget
             settings.configuration.extra_request_headers.update(
                 self._settings.configuration.extra_request_headers
             )
             if settings.credentials is None:
                 try:
-                    Credentials = settings.__fields__["credentials"].type_
+                    Credentials = get_args(  # Union[Credentials, None] -> Credentials
+                        settings.model_fields["credentials"].annotation
+                    )[0]
                     settings.credentials = Credentials.from_env()
                 except ValidationError as e:
                     raise ValueError(
diff --git a/forge/forge/llm/providers/openai.py b/forge/forge/llm/providers/openai.py
index 024f1286a8d2..c3aa060c9d75 100644
--- a/forge/forge/llm/providers/openai.py
+++ b/forge/forge/llm/providers/openai.py
@@ -197,7 +197,7 @@ class OpenAIModelName(str, enum.Enum):
 }
 for base, copies in chat_model_mapping.items():
     for copy in copies:
-        copy_info = OPEN_AI_CHAT_MODELS[base].copy(update={"name": copy})
+        copy_info = OPEN_AI_CHAT_MODELS[base].model_copy(update={"name": copy})
         OPEN_AI_CHAT_MODELS[copy] = copy_info
         if copy.endswith(("-0301", "-0314")):
             copy_info.has_function_call_api = False
@@ -219,15 +219,19 @@ class OpenAICredentials(ModelProviderCredentials):
     api_base: Optional[SecretStr] = UserConfigurable(
         default=None, from_env="OPENAI_API_BASE_URL"
     )
-    organization: Optional[SecretStr] = UserConfigurable(from_env="OPENAI_ORGANIZATION")
+    organization: Optional[SecretStr] = UserConfigurable(
+        default=None, from_env="OPENAI_ORGANIZATION"
+    )
 
     api_type: Optional[SecretStr] = UserConfigurable(
         default=None,
         from_env=lambda: cast(
             SecretStr | None,
-            "azure"
-            if os.getenv("USE_AZURE") == "True"
-            else os.getenv("OPENAI_API_TYPE"),
+            (
+                "azure"
+                if os.getenv("USE_AZURE") == "True"
+                else os.getenv("OPENAI_API_TYPE")
+            ),
         ),
     )
     api_version: Optional[SecretStr] = UserConfigurable(
@@ -367,7 +371,7 @@ def count_message_tokens(
         num_tokens = 0
         for message in messages:
             num_tokens += tokens_per_message
-            for key, value in message.dict().items():
+            for key, value in message.model_dump().items():
                 num_tokens += len(tokenizer.encode(value))
                 if key == "name":
                     num_tokens += tokens_per_name
@@ -625,4 +629,4 @@ def _tool_calls_compat_extract_calls(response: str) -> Iterator[AssistantToolCal
 
     for t in tool_calls:
         t["id"] = str(uuid.uuid4())
-        yield AssistantToolCall.parse_obj(t)
+        yield AssistantToolCall.model_validate(t)
diff --git a/forge/forge/llm/providers/schema.py b/forge/forge/llm/providers/schema.py
index 11b522e77960..f804442b9ed4 100644
--- a/forge/forge/llm/providers/schema.py
+++ b/forge/forge/llm/providers/schema.py
@@ -17,7 +17,7 @@
     TypeVar,
 )
 
-from pydantic import BaseModel, Field, SecretStr
+from pydantic import BaseModel, ConfigDict, Field, SecretStr
 
 from forge.logging.utils import fmt_kwargs
 from forge.models.config import (
@@ -204,8 +204,7 @@ class ModelProviderCredentials(ProviderCredentials):
     api_version: SecretStr | None = UserConfigurable(default=None)
     deployment_id: SecretStr | None = UserConfigurable(default=None)
 
-    class Config(ProviderCredentials.Config):
-        extra = "ignore"
+    model_config = ConfigDict(extra="ignore")
 
 
 class ModelProviderUsage(BaseModel):
@@ -289,7 +288,7 @@ def __init__(
         logger: Optional[logging.Logger] = None,
     ):
         if not settings:
-            settings = self.default_settings.copy(deep=True)
+            settings = self.default_settings.model_copy(deep=True)
 
         self._settings = settings
         self._configuration = settings.configuration
@@ -356,7 +355,7 @@ class EmbeddingModelResponse(ModelResponse):
     """Standard response struct for a response from an embedding model."""
 
     embedding: Embedding = Field(default_factory=list)
-    completion_tokens_used: int = Field(default=0, const=True)
+    completion_tokens_used: int = Field(default=0, frozen=True)
 
 
 class BaseEmbeddingModelProvider(BaseModelProvider[_ModelName, _ModelProviderSettings]):
diff --git a/forge/forge/models/action.py b/forge/forge/models/action.py
index 61d23b1f9ff3..a87f9bb6e316 100644
--- a/forge/forge/models/action.py
+++ b/forge/forge/models/action.py
@@ -3,7 +3,11 @@
 from typing import Any, Literal, Optional, TypeVar
 
 from pydantic import BaseModel
-from pydantic.schema import default_ref_template
+from pydantic.json_schema import (
+    DEFAULT_REF_TEMPLATE,
+    GenerateJsonSchema,
+    JsonSchemaMode,
+)
 
 from forge.llm.providers.schema import AssistantChatMessage, AssistantFunctionCall
 
@@ -20,13 +24,24 @@ class ActionProposal(BaseModel):
     """
 
     @classmethod
-    def schema(
-        cls, by_alias: bool = True, ref_template: str = default_ref_template, **kwargs
+    def model_json_schema(
+        cls,
+        by_alias: bool = True,
+        ref_template: str = DEFAULT_REF_TEMPLATE,
+        schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema,
+        mode: JsonSchemaMode = "validation",
+        **kwargs,
     ):
         """
         The schema for this ActionProposal model, excluding the 'raw_message' property.
         """
-        schema = super().schema(by_alias=by_alias, ref_template=ref_template, **kwargs)
+        schema = super().model_json_schema(
+            by_alias=by_alias,
+            ref_template=ref_template,
+            schema_generator=schema_generator,
+            mode=mode,
+            **kwargs,
+        )
         if "raw_message" in schema["properties"]:  # must check because schema is cached
             del schema["properties"]["raw_message"]
         return schema
diff --git a/forge/forge/models/config.py b/forge/forge/models/config.py
index 321e9c96d87c..9f8fb0ac7fff 100644
--- a/forge/forge/models/config.py
+++ b/forge/forge/models/config.py
@@ -2,16 +2,19 @@
 import typing
 from typing import Any, Callable, Generic, Optional, Type, TypeVar, get_args
 
-from pydantic import BaseModel, Field, ValidationError
-from pydantic.fields import ModelField, Undefined, UndefinedType
-from pydantic.main import ModelMetaclass
+from pydantic import BaseModel, ConfigDict, Field, ValidationError
+from pydantic._internal._model_construction import (  # HACK shouldn't be used
+    ModelMetaclass,
+)
+from pydantic.fields import FieldInfo
+from pydantic_core import PydanticUndefined, PydanticUndefinedType
 
 T = TypeVar("T")
 M = TypeVar("M", bound=BaseModel)
 
 
 def UserConfigurable(
-    default: T | UndefinedType = Undefined,
+    default: T | PydanticUndefinedType = PydanticUndefined,
     *args,
     default_factory: Optional[Callable[[], T]] = None,
     from_env: Optional[str | Callable[[], T | None]] = None,
@@ -20,16 +23,27 @@ def UserConfigurable(
     **kwargs,
 ) -> T:
     # TODO: use this to auto-generate docs for the application configuration
-    return Field(
+    field_info: FieldInfo = Field(
         default,
         *args,
         default_factory=default_factory,
-        from_env=from_env,
         description=description,
         exclude=exclude,
         **kwargs,
-        user_configurable=True,
     )
+    field_info.metadata.append(("user_configurable", True))
+    field_info.metadata.append(("from_env", from_env))
+
+    return field_info  # type: ignore
+
+
+def _get_field_metadata(field: FieldInfo, key: str, default: Any = None) -> Any:
+    for item in field.metadata:
+        if isinstance(item, tuple) and item[0] == key:
+            return item[1]
+        if isinstance(item, str) and item == key:
+            return True
+    return default
 
 
 class SystemConfiguration(BaseModel):
@@ -45,14 +59,17 @@ def from_env(cls):
         attribute that can be passed to UserConfigurable.
         """
 
-        def infer_field_value(field: ModelField):
-            field_info = field.field_info
+        def infer_field_value(field: FieldInfo):
             default_value = (
                 field.default
-                if field.default not in (None, Undefined)
-                else (field.default_factory() if field.default_factory else Undefined)
+                if field.default not in (None, PydanticUndefined)
+                else (
+                    field.default_factory()
+                    if field.default_factory
+                    else PydanticUndefined
+                )
             )
-            if from_env := field_info.extra.get("from_env"):
+            if from_env := _get_field_metadata(field, "from_env"):
                 val_from_env = (
                     os.getenv(from_env) if type(from_env) is str else from_env()
                 )
@@ -62,10 +79,9 @@ def infer_field_value(field: ModelField):
 
         return _recursive_init_model(cls, infer_field_value)
 
-    class Config:
-        extra = "forbid"
-        use_enum_values = True
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra="forbid", use_enum_values=True, validate_assignment=True
+    )
 
 
 SC = TypeVar("SC", bound=SystemConfiguration)
@@ -77,10 +93,9 @@ class SystemSettings(BaseModel):
     name: str
     description: str
 
-    class Config:
-        extra = "forbid"
-        use_enum_values = True
-        validate_assignment = True
+    model_config = ConfigDict(
+        extra="forbid", use_enum_values=True, validate_assignment=True
+    )
 
 
 S = TypeVar("S", bound=SystemSettings)
@@ -103,7 +118,7 @@ def build_agent_configuration(cls, overrides: dict = {}) -> S:
         base_config = _update_user_config_from_env(cls.default_settings)
         final_configuration = deep_update(base_config, overrides)
 
-        return cls.default_settings.__class__.parse_obj(final_configuration)
+        return cls.default_settings.__class__.model_validate(final_configuration)
 
 
 def _update_user_config_from_env(instance: BaseModel) -> dict[str, Any]:
@@ -122,14 +137,15 @@ def _update_user_config_from_env(instance: BaseModel) -> dict[str, Any]:
         The user config fields of the instance.
     """
 
-    def infer_field_value(field: ModelField, value):
-        field_info = field.field_info
+    def infer_field_value(field: FieldInfo, value):
         default_value = (
             field.default
-            if field.default not in (None, Undefined)
+            if field.default not in (None, PydanticUndefined)
             else (field.default_factory() if field.default_factory else None)
         )
-        if value == default_value and (from_env := field_info.extra.get("from_env")):
+        if value == default_value and (
+            from_env := _get_field_metadata(field, "from_env")
+        ):
             val_from_env = os.getenv(from_env) if type(from_env) is str else from_env()
             if val_from_env is not None:
                 return val_from_env
@@ -137,10 +153,10 @@ def infer_field_value(field: ModelField, value):
 
     def init_sub_config(model: Type[SC]) -> SC | None:
         try:
-            return model.from_env()
+            return model.model_validate(model.from_env(), strict=True)
         except ValidationError as e:
             # Gracefully handle missing fields
-            if all(e["type"] == "value_error.missing" for e in e.errors()):
+            if all(e["type"] == "missing" for e in e.errors()):
                 return None
             raise
 
@@ -149,7 +165,7 @@ def init_sub_config(model: Type[SC]) -> SC | None:
 
 def _recursive_init_model(
     model: Type[M],
-    infer_field_value: Callable[[ModelField], Any],
+    infer_field_value: Callable[[FieldInfo], Any],
 ) -> M:
     """
     Recursively initialize the user configuration fields of a Pydantic model.
@@ -164,31 +180,31 @@ def _recursive_init_model(
         BaseModel: An instance of the model with the initialized configuration.
     """
     user_config_fields = {}
-    for name, field in model.__fields__.items():
-        if "user_configurable" in field.field_info.extra:
+    for name, field in model.model_fields.items():
+        if _get_field_metadata(field, "user_configurable"):
             user_config_fields[name] = infer_field_value(field)
-        elif type(field.outer_type_) is ModelMetaclass and issubclass(
-            field.outer_type_, SystemConfiguration
+        elif isinstance(field.annotation, ModelMetaclass) and issubclass(
+            field.annotation, SystemConfiguration
         ):
             try:
                 user_config_fields[name] = _recursive_init_model(
-                    model=field.outer_type_,
+                    model=field.annotation,
                     infer_field_value=infer_field_value,
                 )
             except ValidationError as e:
                 # Gracefully handle missing fields
-                if all(e["type"] == "value_error.missing" for e in e.errors()):
+                if all(e["type"] == "missing" for e in e.errors()):
                     user_config_fields[name] = None
                 raise
 
     user_config_fields = remove_none_items(user_config_fields)
 
-    return model.parse_obj(user_config_fields)
+    return model.model_validate(user_config_fields)
 
 
 def _recurse_user_config_fields(
     model: BaseModel,
-    infer_field_value: Callable[[ModelField, Any], Any],
+    infer_field_value: Callable[[FieldInfo, Any], Any],
     init_sub_config: Optional[
         Callable[[Type[SystemConfiguration]], SystemConfiguration | None]
     ] = None,
@@ -211,11 +227,11 @@ def _recurse_user_config_fields(
     """
     user_config_fields = {}
 
-    for name, field in model.__fields__.items():
+    for name, field in model.model_fields.items():
         value = getattr(model, name)
 
         # Handle individual field
-        if "user_configurable" in field.field_info.extra:
+        if _get_field_metadata(field, "user_configurable"):
             user_config_fields[name] = infer_field_value(field, value)
 
         # Recurse into nested config object
@@ -260,7 +276,7 @@ def _recurse_user_config_fields(
 
 def _recurse_user_config_values(
     instance: BaseModel,
-    get_field_value: Callable[[ModelField, T], T] = lambda _, v: v,
+    get_field_value: Callable[[FieldInfo, T], T] = lambda _, v: v,
 ) -> dict[str, Any]:
     """
     This function recursively traverses the user configuration values in a Pydantic
@@ -278,8 +294,8 @@ def _recurse_user_config_values(
     user_config_values = {}
 
     for name, value in instance.__dict__.items():
-        field = instance.__fields__[name]
-        if "user_configurable" in field.field_info.extra:
+        field = instance.model_fields[name]
+        if _get_field_metadata(field, "user_configurable"):
             user_config_values[name] = get_field_value(field, value)
         elif isinstance(value, SystemConfiguration):
             user_config_values[name] = _recurse_user_config_values(
@@ -313,7 +329,7 @@ def _get_non_default_user_config_values(instance: BaseModel) -> dict[str, Any]:
         dict[str, Any]: The non-default user config values on the instance.
     """
 
-    def get_field_value(field: ModelField, value):
+    def get_field_value(field: FieldInfo, value):
         default = field.default_factory() if field.default_factory else field.default
         if value != default:
             return value
@@ -347,6 +363,8 @@ def deep_update(original_dict: dict, update_dict: dict) -> dict:
 def remove_none_items(d):
     if isinstance(d, dict):
         return {
-            k: remove_none_items(v) for k, v in d.items() if v not in (None, Undefined)
+            k: remove_none_items(v)
+            for k, v in d.items()
+            if v not in (None, PydanticUndefined)
         }
     return d
diff --git a/forge/forge/models/json_schema.py b/forge/forge/models/json_schema.py
index 4ef641eb7a60..44033f4ba016 100644
--- a/forge/forge/models/json_schema.py
+++ b/forge/forge/models/json_schema.py
@@ -57,7 +57,7 @@ def to_dict(self) -> dict:
 
     @staticmethod
     def from_dict(schema: dict) -> "JSONSchema":
-        definitions = schema.get("definitions", {})
+        definitions = schema.get("$defs", {})
         schema = _resolve_type_refs_in_schema(schema, definitions)
 
         return JSONSchema(
diff --git a/forge/forge/models/providers.py b/forge/forge/models/providers.py
index 19536e2acdb6..35d9fe7bb0eb 100644
--- a/forge/forge/models/providers.py
+++ b/forge/forge/models/providers.py
@@ -1,9 +1,9 @@
 import abc
 import enum
 import math
-from typing import Callable, Generic, TypeVar
+from typing import Generic, TypeVar
 
-from pydantic import BaseModel, SecretBytes, SecretField, SecretStr
+from pydantic import BaseModel, ConfigDict, Secret, SecretBytes, SecretStr
 
 from forge.models.config import SystemConfiguration, UserConfigurable
 
@@ -38,17 +38,18 @@ class ProviderCredentials(SystemConfiguration):
     def unmasked(self) -> dict:
         return unmask(self)
 
-    class Config(SystemConfiguration.Config):
-        json_encoders: dict[type[SecretField], Callable[[SecretField], str | None]] = {
+    model_config = ConfigDict(
+        json_encoders={
             SecretStr: lambda v: v.get_secret_value() if v else None,
             SecretBytes: lambda v: v.get_secret_value() if v else None,
-            SecretField: lambda v: v.get_secret_value() if v else None,
+            Secret: lambda v: v.get_secret_value() if v else None,
         }
+    )
 
 
 def unmask(model: BaseModel):
     unmasked_fields = {}
-    for field_name, _ in model.__fields__.items():
+    for field_name, _ in model.model_fields.items():
         value = getattr(model, field_name)
         if isinstance(value, SecretStr):
             unmasked_fields[field_name] = value.get_secret_value()
diff --git a/forge/poetry.lock b/forge/poetry.lock
index 15e11105e925..b4b063dd766f 100644
--- a/forge/poetry.lock
+++ b/forge/poetry.lock
@@ -10,7 +10,7 @@ files = []
 develop = false
 
 [package.dependencies]
-agent-protocol-client = "^1.1.0"
+agent-protocol-client = {git = "https://github.com/Significant-Gravitas/agent-protocol.git", subdirectory = "packages/client/python"}
 click = "^8.1.3"
 click-default-group = "^1.2.4"
 colorama = "^0.4.6"
@@ -18,12 +18,14 @@ fastapi = "^0.109.1"
 gitpython = "^3.1.32"
 httpx = "^0.24.0"
 matplotlib = "^3.7.2"
+multidict = "^6.0.5"
 networkx = "^3.1"
 openai = "^1.7.2"
 pandas = "^2.0.3"
 pexpect = "^4.8.0"
 psutil = "^5.9.5"
-pydantic = "^1.10.9"
+pydantic = "^2.7.2"
+pydantic-settings = "^2.3.4"
 pytest = "^7.3.2"
 pytest-asyncio = "^0.23.3"
 python-dotenv = "^1.0.0"
@@ -44,17 +46,22 @@ name = "agent-protocol-client"
 version = "1.1.0"
 description = "Agent Communication Protocol Client"
 optional = true
-python-versions = ">=3.7,<4.0"
-files = [
-    {file = "agent_protocol_client-1.1.0-py3-none-any.whl", hash = "sha256:0e8c6c97244189666ed18e320410abddce8c9dfb75437da1e590bbef3b6268be"},
-    {file = "agent_protocol_client-1.1.0.tar.gz", hash = "sha256:aa7e1042de1249477fdc29c2df08a44f2233dade9c02c1279e37c98e9d3a0d72"},
-]
+python-versions = "^3.7"
+files = []
+develop = false
 
 [package.dependencies]
-aiohttp = ">=3.8.4,<4.0.0"
-pydantic = ">=1.10.5,<2.0.0"
-python-dateutil = ">=2.8.2,<3.0.0"
-urllib3 = ">=1.25.3,<2.0.0"
+aiohttp = "^3.8.4"
+pydantic = ">=1.10.5, <3.0.0"
+python-dateutil = "^2.8.2"
+urllib3 = "^1.25.3"
+
+[package.source]
+type = "git"
+url = "https://github.com/Significant-Gravitas/agent-protocol.git"
+reference = "HEAD"
+resolved_reference = "beb098517b0b9e255024d1b57df236f0329f4b1c"
+subdirectory = "packages/client/python"
 
 [[package]]
 name = "aiohttp"
@@ -166,6 +173,17 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+description = "Reusable constraint types to use with typing.Annotated"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
+    {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
+]
+
 [[package]]
 name = "anthropic"
 version = "0.25.8"
@@ -3475,85 +3493,101 @@ tests = ["pytest (>=4.6)"]
 
 [[package]]
 name = "multidict"
-version = "6.0.4"
+version = "6.0.5"
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+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:81b5efb2f126454586d0f40c4d834010979cb80785173d1586df845a632e4e6d"},
+    {file = "pydantic_core-2.18.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:ab86ce7c8f9bea87b9d12c7f0af71102acbf5ecbc66c17796cff45dae54ef9a5"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:90afc12421df2b1b4dcc975f814e21bc1754640d502a2fbcc6d41e77af5ec312"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:51991a89639a912c17bef4b45c87bd83593aee0437d8102556af4885811d59f5"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:293afe532740370aba8c060882f7d26cfd00c94cae32fd2e212a3a6e3b7bc15e"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b48ece5bde2e768197a2d0f6e925f9d7e3e826f0ad2271120f8144a9db18d5c8"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:eae237477a873ab46e8dd748e515c72c0c804fb380fbe6c85533c7de51f23a8f"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:834b5230b5dfc0c1ec37b2fda433b271cbbc0e507560b5d1588e2cc1148cf1ce"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:e858ac0a25074ba4bce653f9b5d0a85b7456eaddadc0ce82d3878c22489fa4ee"},
+    {file = "pydantic_core-2.18.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:2fd41f6eff4c20778d717af1cc50eca52f5afe7805ee530a4fbd0bae284f16e9"},
+    {file = "pydantic_core-2.18.4.tar.gz", hash = "sha256:ec3beeada09ff865c344ff3bc2f427f5e6c26401cc6113d77e372c3fdac73864"},
+]
+
+[package.dependencies]
+typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
+
+[[package]]
+name = "pydantic-settings"
+version = "2.3.4"
+description = "Settings management using Pydantic"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "pydantic_settings-2.3.4-py3-none-any.whl", hash = "sha256:11ad8bacb68a045f00e4f862c7a718c8a9ec766aa8fd4c32e39a0594b207b53a"},
+    {file = "pydantic_settings-2.3.4.tar.gz", hash = "sha256:c5802e3d62b78e82522319bbc9b8f8ffb28ad1c988a99311d04f2a6051fca0a7"},
+]
+
+[package.dependencies]
+pydantic = ">=2.7.0"
+python-dotenv = ">=0.21.0"
 
 [package.extras]
-dotenv = ["python-dotenv (>=0.10.4)"]
-email = ["email-validator (>=1.0.3)"]
+toml = ["tomli (>=2.0.1)"]
+yaml = ["pyyaml (>=6.0.1)"]
 
 [[package]]
 name = "pyflakes"
@@ -6891,4 +7002,4 @@ benchmark = ["agbenchmark"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "9cf84334ccdd6c388899d49a7a7f341a92ac3b3a85f558d0035ee44462ec7f38"
+content-hash = "ae056efba5ba4bf69ae1fe9aa84169e20b89368fbd982c7812c3b0f41d46c666"
diff --git a/forge/pyproject.toml b/forge/pyproject.toml
index 8f3a70182c58..996ad768b980 100644
--- a/forge/pyproject.toml
+++ b/forge/pyproject.toml
@@ -36,7 +36,7 @@ litellm = "^1.17.9"
 openai = "^1.7.2"
 Pillow = "*"
 playsound = "~1.2.2"
-pydantic = "*"
+pydantic = "^2.7.2"
 python-docx = "*"
 python-dotenv = "^1.0.0"
 python-multipart = "^0.0.7"

From 39f70b0c83388edfb56709c95dea13b36d193245 Mon Sep 17 00:00:00 2001
From: Krzysztof Czerwinski <34861343+kcze@users.noreply.github.com>
Date: Wed, 3 Jul 2024 09:50:38 +0100
Subject: [PATCH 22/23] docs(agent, forge): Update component configuration docs
 (#7232)

---
 docs/content/AutoGPT/configuration/options.md |  6 +-
 docs/content/AutoGPT/setup/docker.md          | 13 +++-
 docs/content/AutoGPT/setup/index.md           | 12 +++-
 .../forge/components/built-in-components.md   | 64 ++++++++++-------
 .../forge/components/creating-components.md   | 31 ++++++++-
 docs/content/forge/components/introduction.md |  2 +-
 docs/content/forge/get-started.md             | 14 ++--
 forge/forge/components/README.md              | 69 ++++++++++++++++++-
 8 files changed, 168 insertions(+), 43 deletions(-)

diff --git a/docs/content/AutoGPT/configuration/options.md b/docs/content/AutoGPT/configuration/options.md
index ba5d723f1f68..49e111330f00 100644
--- a/docs/content/AutoGPT/configuration/options.md
+++ b/docs/content/AutoGPT/configuration/options.md
@@ -1,6 +1,7 @@
 # Configuration
 
-Configuration is controlled through the `Config` object. You can set configuration variables via the `.env` file. If you don't have a `.env` file, create a copy of `.env.template` in your `AutoGPT` folder and name it `.env`.
+Configuration of sensitive settings such as API credentials is done through environment variables.
+You can set configuration variables via the `.env` file. If you don't have a `.env` file, create a copy of `.env.template` in your `AutoGPT` folder and name it `.env`.
 
 ## Environment Variables
 
@@ -21,7 +22,7 @@ Configuration is controlled through the `Config` object. You can set configurati
 - `GROQ_API_KEY`: Set this if you want to use Groq models with AutoGPT
 - `HUGGINGFACE_API_TOKEN`: HuggingFace API, to be used for both image generation and audio to text. Optional.
 - `HUGGINGFACE_IMAGE_MODEL`: HuggingFace model to use for image generation. Default: CompVis/stable-diffusion-v1-4
-- `OPENAI_API_KEY`: *REQUIRED*- Your [OpenAI API Key](https://platform.openai.com/account/api-keys).
+- `OPENAI_API_KEY`: Set this if you want to use OpenAI models; [OpenAI API Key](https://platform.openai.com/account/api-keys).
 - `OPENAI_ORGANIZATION`: Organization ID in OpenAI. Optional.
 - `PLAIN_OUTPUT`: Plain output, which disables the spinner. Default: False
 - `RESTRICT_TO_WORKSPACE`: The restrict file reading and writing to the workspace directory. Default: True
@@ -31,4 +32,3 @@ Configuration is controlled through the `Config` object. You can set configurati
 - `TEMPERATURE`: Value of temperature given to OpenAI. Value from 0 to 2. Lower is more deterministic, higher is more random. See https://platform.openai.com/docs/api-reference/completions/create#completions/create-temperature
 - `TEXT_TO_SPEECH_PROVIDER`: Text to Speech Provider. Options are `gtts`, `macos`, `elevenlabs`, and `streamelements`. Default: gtts
 - `USE_AZURE`: Use Azure's LLM Default: False
-- `WIPE_REDIS_ON_START`: Wipes data / index on start. Default: True
diff --git a/docs/content/AutoGPT/setup/docker.md b/docs/content/AutoGPT/setup/docker.md
index 4e10ae29de22..60225c4a8155 100644
--- a/docs/content/AutoGPT/setup/docker.md
+++ b/docs/content/AutoGPT/setup/docker.md
@@ -71,18 +71,25 @@
           - ./logs:/app/logs
           ## uncomment following lines if you want to make use of these files
           ## you must have them existing in the same folder as this docker-compose.yml
+          ## component configuration file
+          #- type: bind
+          #  source: ./config.json
+          #  target: /app/config.json
     ```
     </details>
 
 
-4. Download [`.env.template`][.env.template] and save it as `.env` in the AutoGPT folder.
-5. Follow the standard [configuration instructions](../index.md#completing-the-setup),
+1. Download [`.env.template`][.env.template] and save it as `.env` in the AutoGPT folder.
+2. Follow the standard [configuration instructions](../index.md#completing-the-setup),
    from step 3 onwards and excluding `poetry install` steps.
-6. Pull the latest image from [Docker Hub]
+3. Pull the latest image from [Docker Hub]
 
     ```shell
     docker pull significantgravitas/auto-gpt
     ```
+4. _Optional: mount configuration file._
+      If you have component configuration file, for example `config.json`, place it in `autogpt/data/` directory. Or place it in `autogpt/` and uncomment the line in `docker-compose.yml` that mounts it.
+      To learn more about configuring, see [Component configuration](../../forge/components/components.md#json-configuration)
 
 !!! note "Docker only supports headless browsing"
     AutoGPT uses a browser in headless mode by default: `HEADLESS_BROWSER=True`.
diff --git a/docs/content/AutoGPT/setup/index.md b/docs/content/AutoGPT/setup/index.md
index 43aba6474774..4fcdbf1cac44 100644
--- a/docs/content/AutoGPT/setup/index.md
+++ b/docs/content/AutoGPT/setup/index.md
@@ -50,7 +50,13 @@ Since we don't ship AutoGPT as a desktop application, you'll need to download th
 ### Completing the Setup
 
 Once you have cloned or downloaded the project, you can find the AutoGPT Agent in the
-`autogpt/` folder. In this folder:
+`autogpt/` folder.
+Inside this folder you can configure the AutoGPT application with an `.env` file and (optionally) a JSON configuration file:
+
+- `.env` for environment variables, which are mostly used for sensitive data like API keys
+- a JSON configuration file to customize certain features of AutoGPT's [Components](../../forge/components/introduction.md)
+
+See the [Configuration](../configuration/options.md) reference for a list of available environment variables.
 
 1. Find the file named `.env.template`. This file may
     be hidden by default in some operating systems due to the dot prefix. To reveal
@@ -71,6 +77,9 @@ Once you have cloned or downloaded the project, you can find the AutoGPT Agent i
 6. Save and close the `.env` file.
 7. _Optional: run `poetry install` to install all required dependencies._ The
     application also checks for and installs any required dependencies when it starts.
+8. _Optional: configure the JSON file (e.g. `config.json`) with your desired settings._
+    The application will use default settings if you don't provide a JSON configuration file.
+    Learn how to [set up the JSON configuration file](../../forge/components/components.md#json-configuration)
 
 You should now be able to explore the CLI (`./autogpt.sh --help`) and run the application.
 
@@ -79,7 +88,6 @@ See the [user guide](../usage.md) for further instructions.
 [show hidden files/Windows]: https://support.microsoft.com/en-us/windows/view-hidden-files-and-folders-in-windows-97fbc472-c603-9d90-91d0-1166d1d9f4b5
 [show hidden files/macOS]: https://www.pcmag.com/how-to/how-to-access-your-macs-hidden-files
 
-
 ## Setting up LLM providers
 
 You can use AutoGPT with any of the following LLM providers.
diff --git a/docs/content/forge/components/built-in-components.md b/docs/content/forge/components/built-in-components.md
index 4a34117191fa..1e1cd1a52cd0 100644
--- a/docs/content/forge/components/built-in-components.md
+++ b/docs/content/forge/components/built-in-components.md
@@ -1,25 +1,25 @@
 # Built-in Components
 
 This page lists all [🧩 Components](./components.md) and [⚙️ Protocols](./protocols.md) they implement that are natively provided. They are used by the AutoGPT agent.
-Some components have additional configuration options listed in the table, see [Component configuration](./components.md/#ordering-components) to learn more.
+Some components have additional configuration options listed in the table, see [Component configuration](./components.md/#component-configuration) to learn more.
 
 !!! note
-    If a configuration field uses environment variable, it still can be passed using configuration model. **Value from the configuration takes precedence over env var!** Env var will be only applied if value in the configuration is not set.
+    If a configuration field uses environment variable, it still can be passed using configuration model. ### Value from the configuration takes precedence over env var! Env var will be only applied if value in the configuration is not set.
 
 ## `SystemComponent`
 
 Essential component to allow an agent to finish.
 
-**DirectiveProvider**
+### DirectiveProvider
 
 - Constraints about API budget
-  
-**MessageProvider**
+
+### MessageProvider
 
 - Current time and date
 - Remaining API budget and warnings if budget is low
 
-**CommandProvider**
+### CommandProvider
 
 - `finish` used when task is completed
 
@@ -27,7 +27,7 @@ Essential component to allow an agent to finish.
 
 Adds ability to interact with user in CLI.
 
-**CommandProvider**
+### CommandProvider
 
 - `ask_user` used to ask user for input
 
@@ -36,18 +36,20 @@ Adds ability to interact with user in CLI.
 Adds ability to read and write persistent files to local storage, Google Cloud Storage or Amazon's S3.
 Necessary for saving and loading agent's state (preserving session).
 
+### `FileManagerConfiguration`
+
 | Config variable  | Details                                | Type  | Default                            |
 | ---------------- | -------------------------------------- | ----- | ---------------------------------- |
-| `files_path`     | Path to agent files, e.g. state        | `str` | `agents/{agent_id}/`[^1]           |
+| `storage_path`     | Path to agent files, e.g. state        | `str` | `agents/{agent_id}/`[^1]           |
 | `workspace_path` | Path to files that agent has access to | `str` | `agents/{agent_id}/workspace/`[^1] |
 
 [^1] This option is set dynamically during component construction as opposed to by default inside the configuration model, `{agent_id}` is replaced with the agent's unique identifier.
 
-**DirectiveProvider**
+### DirectiveProvider
 
 - Resource information that it's possible to read and write files
 
-**CommandProvider**
+### CommandProvider
 
 - `read_file` used to read file
 - `write_file` used to write file
@@ -57,6 +59,8 @@ Necessary for saving and loading agent's state (preserving session).
 
 Lets the agent execute non-interactive Shell commands and Python code. Python execution works only if Docker is available.
 
+### `CodeExecutorConfiguration`
+
 | Config variable          | Details                                              | Type                        | Default           |
 | ------------------------ | ---------------------------------------------------- | --------------------------- | ----------------- |
 | `execute_local_commands` | Enable shell command execution                       | `bool`                      | `False`           |
@@ -65,7 +69,7 @@ Lets the agent execute non-interactive Shell commands and Python code. Python ex
 | `shell_denylist`         | List of prohibited shell commands                    | `List[str]`                 | `[]`              |
 | `docker_container_name`  | Name of the Docker container used for code execution | `str`                       | `"agent_sandbox"` |
 
-**CommandProvider**
+### CommandProvider
 
 - `execute_shell` execute shell command
 - `execute_shell_popen` execute shell command with popen
@@ -76,6 +80,8 @@ Lets the agent execute non-interactive Shell commands and Python code. Python ex
 
 Keeps track of agent's actions and their outcomes. Provides their summary to the prompt.
 
+### `ActionHistoryConfiguration`
+
 | Config variable        | Details                                                 | Type        | Default            |
 | ---------------------- | ------------------------------------------------------- | ----------- | ------------------ |
 | `model_name`           | Name of the llm model used to compress the history      | `ModelName` | `"gpt-3.5-turbo"`  |
@@ -83,19 +89,19 @@ Keeps track of agent's actions and their outcomes. Provides their summary to the
 | `spacy_language_model` | Language model used for summary chunking using spacy    | `str`       | `"en_core_web_sm"` |
 | `full_message_count`   | Number of cycles to include unsummarized in the prompt  | `int`       | `4`                |
 
-**MessageProvider**
+### MessageProvider
 
 - Agent's progress summary
 
-**AfterParse**
+### AfterParse
 
 - Register agent's action
 
-**ExecutionFailure**
+### ExecutionFailure
 
 - Rewinds the agent's action, so it isn't saved
 
-**AfterExecute**
+### AfterExecute
 
 - Saves the agent's action result in the history
 
@@ -103,12 +109,14 @@ Keeps track of agent's actions and their outcomes. Provides their summary to the
 
 Adds ability to iteract with git repositories and GitHub.
 
+### `GitOperationsConfiguration`
+
 | Config variable   | Details                                   | Type  | Default |
 | ----------------- | ----------------------------------------- | ----- | ------- |
 | `github_username` | GitHub username, *ENV:* `GITHUB_USERNAME` | `str` | `None`  |
 | `github_api_key`  | GitHub API key, *ENV:* `GITHUB_API_KEY`   | `str` | `None`  |
 
-**CommandProvider**
+### CommandProvider
 
 - `clone_repository` used to clone a git repository
 
@@ -123,7 +131,9 @@ Link to the appropriate settings page: [Hugging Face > Settings > Tokens](https:
 
 ### Stable Diffusion WebUI
 
-It is possible to use your own self-hosted Stable Diffusion WebUI with AutoGPT. **Make sure you are running WebUI with `--api` enabled.**
+It is possible to use your own self-hosted Stable Diffusion WebUI with AutoGPT. ### Make sure you are running WebUI with `--api` enabled.
+
+### `ImageGeneratorConfiguration`
 
 | Config variable           | Details                                                       | Type                                    | Default                           |
 | ------------------------- | ------------------------------------------------------------- | --------------------------------------- | --------------------------------- |
@@ -135,7 +145,7 @@ It is possible to use your own self-hosted Stable Diffusion WebUI with AutoGPT.
 
 [available models]: https://huggingface.co/models?pipeline_tag=text-to-image
 
-**CommandProvider**
+### CommandProvider
 
 - `generate_image` used to generate an image given a prompt
 
@@ -143,17 +153,19 @@ It is possible to use your own self-hosted Stable Diffusion WebUI with AutoGPT.
 
 Allows agent to search the web. Google credentials aren't required for DuckDuckGo. [Instructions how to set up Google API key](../../AutoGPT/configuration/search.md)
 
+### `WebSearchConfiguration`
+
 | Config variable                  | Details                                                                 | Type  | Default |
 | -------------------------------- | ----------------------------------------------------------------------- | ----- | ------- |
 | `google_api_key`                 | Google API key, *ENV:* `GOOGLE_API_KEY`                                 | `str` | `None`  |
 | `google_custom_search_engine_id` | Google Custom Search Engine ID, *ENV:* `GOOGLE_CUSTOM_SEARCH_ENGINE_ID` | `str` | `None`  |
 | `duckduckgo_max_attempts`        | Maximum number of attempts to search using DuckDuckGo                   | `int` | `3`     |
 
-**DirectiveProvider**
+### DirectiveProvider
 
 - Resource information that it's possible to search the web
 
-**CommandProvider**
+### CommandProvider
 
 - `search_web` used to search the web using DuckDuckGo
 - `google` used to search the web using Google, requires API key
@@ -162,6 +174,8 @@ Allows agent to search the web. Google credentials aren't required for DuckDuckG
 
 Allows agent to read websites using Selenium.
 
+### `WebSeleniumConfiguration`
+
 | Config variable               | Details                                     | Type                                          | Default                                                                                                                      |
 | ----------------------------- | ------------------------------------------- | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- |
 | `model_name`                  | Name of the llm model used to read websites | `ModelName`                                   | `"gpt-3.5-turbo"`                                                                                                            |
@@ -170,11 +184,11 @@ Allows agent to read websites using Selenium.
 | `user_agent`                  | User agent used by the browser              | `str`                                         | `"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36"` |
 | `browse_spacy_language_model` | Spacy language model used for chunking text | `str`                                         | `"en_core_web_sm"`                                                                                                           |
 
-**DirectiveProvider**
+### DirectiveProvider
 
 - Resource information that it's possible to read websites
 
-**CommandProvider**
+### CommandProvider
 
 - `read_website` used to read a specific url and look for specific topics or answer a question
 
@@ -182,11 +196,11 @@ Allows agent to read websites using Selenium.
 
 Adds ability to keep up-to-date file and folder content in the prompt.
 
-**MessageProvider**
+### MessageProvider
 
 - Content of elements in the context
 
-**CommandProvider**
+### CommandProvider
 
 - `open_file` used to open a file into context
 - `open_folder` used to open a folder into context
@@ -196,6 +210,6 @@ Adds ability to keep up-to-date file and folder content in the prompt.
 
 Watches if agent is looping and switches to smart mode if necessary.
 
-**AfterParse**
+### AfterParse
 
 - Investigates what happened and switches to smart mode if necessary
diff --git a/docs/content/forge/components/creating-components.md b/docs/content/forge/components/creating-components.md
index bcffd59d1316..2fcf6dc0be52 100644
--- a/docs/content/forge/components/creating-components.md
+++ b/docs/content/forge/components/creating-components.md
@@ -37,7 +37,7 @@ Since components are regular classes you can pass data (including other componen
 For example we can pass a config object and then retrieve an API key from it when needed:
 
 ```py
-class ConfigurableComponent(MessageProvider):
+class DataComponent(MessageProvider):
     def __init__(self, config: Config):
         self.config = config
 
@@ -51,6 +51,35 @@ class ConfigurableComponent(MessageProvider):
 !!! note
     Component-specific configuration handling isn't implemented yet.
 
+## Configuring components
+
+Components can be configured using a pydantic model.
+To make component configurable, it must inherit from `ConfigurableComponent[BM]` where `BM` is the configuration class inheriting from pydantic's `BaseModel`.
+You should pass the configuration instance to the `ConfigurableComponent`'s `__init__` or set its `config` property directly.
+Using configuration allows you to load confugration from a file, and also serialize and deserialize it easily for any agent.
+To learn more about configuration, including storing sensitive information and serialization see [Component Configuration](./components.md#component-configuration).
+
+```py
+# Example component configuration
+class UserGreeterConfiguration(BaseModel):
+    user_name: str
+
+class UserGreeterComponent(MessageProvider, ConfigurableComponent[UserGreeterConfiguration]):
+    def __init__(self):
+        # Creating configuration instance
+        # You could also pass it to the component constructor
+        # e.g. `def __init__(self, config: UserGreeterConfiguration):`
+        config = UserGreeterConfiguration(user_name="World")
+        # Passing the configuration instance to the parent class
+        UserGreeterComponent.__init__(self, config)
+        # This has the same effect as the line above:
+        # self.config = UserGreeterConfiguration(user_name="World")
+
+    def get_messages(self) -> Iterator[ChatMessage]:
+        # You can use the configuration like a regular model
+        yield ChatMessage.system(f"Hello, {self.config.user_name}!")
+```
+
 ## Providing commands
 
 To extend what an agent can do, you need to provide commands using `CommandProvider` protocol. For example to allow agent to multiply two numbers, you can create a component like this:
diff --git a/docs/content/forge/components/introduction.md b/docs/content/forge/components/introduction.md
index ab5871644dc2..d9b5a132cbcd 100644
--- a/docs/content/forge/components/introduction.md
+++ b/docs/content/forge/components/introduction.md
@@ -10,7 +10,7 @@ This guide explains the component-based architecture of AutoGPT agents. It's a n
 
 Agent is composed of *components*, and each *component* implements a range of *protocols* (interfaces), each one providing a specific functionality, e.g. additional commands or messages. Each *protocol* is handled in a specific order, defined by the agent. This allows for a clear separation of concerns and a more modular design.
 
-This system is simple, flexible, requires basically no configuration, and doesn't hide any data - anything can still be passed or accessed directly from or between components.
+This system is simple, flexible, and doesn't hide any data - anything can still be passed or accessed directly from or between components.
 
 ### Definitions & Guides
 
diff --git a/docs/content/forge/get-started.md b/docs/content/forge/get-started.md
index d50b8e5ffbaa..6b62855f03a3 100644
--- a/docs/content/forge/get-started.md
+++ b/docs/content/forge/get-started.md
@@ -19,16 +19,16 @@ Forge is a ready-to-go template for *your* agent application. All the boilerplat
 
 ### 🚀 **Get Started!**
 
+The best way to get started is to fork or download the AutoGPT repository and look at the example agent in `forge/forge/agent/forge_agent.py`.
+This can work as a starting point for your own agent.
+Agents are built using *components* which provide different functionality, see the [Component Introduction](./components/introduction.md). You can find built-in components in `forge/forge/components/`.
+
+!!! warning
+    The tutorial series below is out of date.
+
 The getting started [tutorial series](https://aiedge.medium.com/autogpt-forge-e3de53cc58ec) will guide you through the process of setting up your project all the way through to building a generalist agent.  
 
 1. [AutoGPT Forge: A Comprehensive Guide to Your First Steps](https://aiedge.medium.com/autogpt-forge-a-comprehensive-guide-to-your-first-steps-a1dfdf46e3b4)
 2. [AutoGPT Forge: The Blueprint of an AI Agent](https://aiedge.medium.com/autogpt-forge-the-blueprint-of-an-ai-agent-75cd72ffde6)
 3. [AutoGPT Forge: Interacting with your Agent](https://aiedge.medium.com/autogpt-forge-interacting-with-your-agent-1214561b06b)
 4. [AutoGPT Forge: Crafting Intelligent Agent Logic](https://medium.com/@aiedge/autogpt-forge-crafting-intelligent-agent-logic-bc5197b14cb4)
-
-Coming soon:
-
-5. Interacting with and Benchmarking your Agent
-6. Abilities
-7. The Planning Loop
-8. Memories
diff --git a/forge/forge/components/README.md b/forge/forge/components/README.md
index ab23798c8af7..f4ee50b98b52 100644
--- a/forge/forge/components/README.md
+++ b/forge/forge/components/README.md
@@ -33,7 +33,7 @@ class MyAgent(BaseAgent):
 ## Component configuration
 
 Each component can have its own configuration defined using a regular pydantic `BaseModel`.
-To ensure the configuration is loaded from the file correctly, the component must inherit from `ConfigurableComponent[T]` where `T` is the configuration model it uses.
+To ensure the configuration is loaded from the file correctly, the component must inherit from `ConfigurableComponent[BM]` where `BM` is the configuration model it uses.
 `ConfigurableComponent` provides a `config` attribute that holds the configuration instance.
 It's possible to either set the `config` attribute directly or pass the configuration instance to the component's constructor.
 Extra configuration (i.e. for components that are not part of the agent) can be passed and will be silently ignored. Extra config won't be applied even if the component is added later.
@@ -72,6 +72,73 @@ class SensitiveConfig(BaseModel):
     api_key: SecretStr = UserConfigurable(from_env="API_KEY", exclude=True)
 ```
 
+### Configuration serialization
+
+`BaseAgent` provides two methods:
+1. `dump_component_configs`: Serializes all components' configurations as json string.
+1. `load_component_configs`: Deserializes json string to configuration and applies it.
+
+### JSON configuration
+
+You can specify a JSON file (e.g. `config.json`) to use for the configuration when launching an agent.
+This file contains settings for individual [Components](../components/introduction.md) that AutoGPT uses.
+To specify the file use `--component-config-file` CLI option, for example to use `config.json`:
+
+```shell
+./autogpt.sh run --component-config-file config.json
+```
+
+!!! note
+    If you're using Docker to run AutoGPT, you need to mount or copy the configuration file to the container.
+    See [Docker Guide](../../AutoGPT/setup/docker.md) for more information.
+
+### Example JSON configuration
+
+You can copy configuration you want to change, for example to `autogpt/config.json` and modify it to your needs.
+*Most configuration has default values, it's better to set only values you want to modify.*
+You can see the available configuration fields and default values in [Build-in Components](./built-in-components.md).
+You can set sensitive variables in the `.json` file as well but it's recommended to use environment variables instead.
+
+```json
+{
+    "CodeExecutorConfiguration": {
+        "execute_local_commands": false,
+        "shell_command_control": "allowlist",
+        "shell_allowlist": ["cat", "echo"],
+        "shell_denylist": [],
+        "docker_container_name": "agent_sandbox"
+    },
+    "FileManagerConfiguration": {
+        "storage_path": "agents/AutoGPT/",
+        "workspace_path": "agents/AutoGPT/workspace"
+    },
+    "GitOperationsConfiguration": {
+        "github_username": null
+    },
+    "ActionHistoryConfiguration": {
+        "model_name": "gpt-3.5-turbo",
+        "max_tokens": 1024,
+        "spacy_language_model": "en_core_web_sm"
+    },
+    "ImageGeneratorConfiguration": {
+        "image_provider": "dalle",
+        "huggingface_image_model": "CompVis/stable-diffusion-v1-4",
+        "sd_webui_url": "http://localhost:7860"
+    },
+    "WebSearchConfiguration": {
+        "duckduckgo_max_attempts": 3
+    },
+    "WebSeleniumConfiguration": {
+        "model_name": "gpt-3.5-turbo",
+        "web_browser": "chrome",
+        "headless": true,
+        "user_agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_4) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/83.0.4103.97 Safari/537.36",
+        "browse_spacy_language_model": "en_core_web_sm"
+    }
+}
+
+```
+
 ## Ordering components
 
 The execution order of components is important because some may depend on the results of the previous ones.

From ecb054af56f75d8a91f8f6e94e40af5b5a146cf2 Mon Sep 17 00:00:00 2001
From: Dimitri Brooks <dimitribrooks@me.com>
Date: Wed, 3 Jul 2024 07:02:14 -0700
Subject: [PATCH 23/23] feat: Add support for Claude 3.5 Sonnet (#7301)

add support for Claude 3.5 Sonnet
---
 forge/forge/llm/providers/anthropic.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/forge/forge/llm/providers/anthropic.py b/forge/forge/llm/providers/anthropic.py
index 716e183c067c..790985c04100 100644
--- a/forge/forge/llm/providers/anthropic.py
+++ b/forge/forge/llm/providers/anthropic.py
@@ -43,6 +43,7 @@
 class AnthropicModelName(str, enum.Enum):
     CLAUDE3_OPUS_v1 = "claude-3-opus-20240229"
     CLAUDE3_SONNET_v1 = "claude-3-sonnet-20240229"
+    CLAUDE3_5_SONNET_v1 = "claude-3-5-sonnet-20240620"
     CLAUDE3_HAIKU_v1 = "claude-3-haiku-20240307"
 
 
@@ -65,6 +66,14 @@ class AnthropicModelName(str, enum.Enum):
             max_tokens=200000,
             has_function_call_api=True,
         ),
+        ChatModelInfo(
+            name=AnthropicModelName.CLAUDE3_5_SONNET_v1,
+            provider_name=ModelProviderName.ANTHROPIC,
+            prompt_token_cost=3 / 1e6,
+            completion_token_cost=15 / 1e6,
+            max_tokens=200000,
+            has_function_call_api=True,
+        ),
         ChatModelInfo(
             name=AnthropicModelName.CLAUDE3_HAIKU_v1,
             provider_name=ModelProviderName.ANTHROPIC,