d(cookbooks): minor bug fixes for 5,6,7 ckbks,testing remains

cookbooks/05-Basic_Agent_Creation_and_Interaction.py

@@ -33,17 +33,22 @@
 
 # Create a session for interaction
 session = client.sessions.create(
-    agent_id=agent.id,
+    agent=agent.id,
     context_overflow="adaptive"
 )
 
 print(f"Session created with ID: {session.id}")
 
 # Function to chat with the agent
 def chat_with_agent(message):
+    message = {
+        "role": "user",
+        "content": message,
+    }
+    # TODO: message validation error
     response = client.sessions.chat(
         session_id=session.id,
-        message=message
+        messages=[message],
     )
     return response.choices[0].message.content
 

cookbooks/06-Designing_Multi-Step_Tasks.py

@@ -60,39 +60,39 @@
   integration:
     provider: brave
     setup:
-      api_key: "your_brave_api_key"
+      api_key: "your_api_key"
 
 main:
 # Step 1: Prompt - Initial research question
 - prompt:
-    - role: system
-      content: "You are a research assistant. Your task is to formulate three specific research questions about the given topic: {{inputs[0].topic}}"
+  - role: system
+    content: "You are a research assistant. Your task is to formulate three specific research questions about the given topic: {{inputs[0].topic}}"
   unwrap: true
 
 # Step 2: Tool Call - Web search for each question
 - foreach:
-    in: "_.split('\\n')"
+    in: "_.split('\n')"
     do:
       tool: web_search
       arguments:
-        query: "_"
+        query: _
 
 # Step 3: Evaluate - Extract relevant information
 - evaluate:
-    relevant_info: "[output['organic'][0]['description'] for output in _]"
+    relevant_info: "[output for output in _]"
 
 # Step 4: Conditional Logic - Check if enough information is gathered
 - if: "len(_.relevant_info) >= 3"
   then:
-    - prompt:
-        - role: system
-          content: "Summarize the following information about {{inputs[0].topic}}:\n{{_.relevant_info}}"
-    unwrap: true
+      prompt:
+      - role: system
+        content: "Summarize the following information about {{inputs[0].topic}}:\n{{_.relevant_info}}"
+      unwrap: true
   else:
-    - prompt:
-        - role: system
-          content: "Not enough information gathered. Please provide a brief overview of {{inputs[0].topic}} based on your knowledge."
-    unwrap: true
+      prompt:
+      - role: system
+        content: "Not enough information gathered. Please provide a brief overview of {{inputs[0].topic}} based on your knowledge."
+      unwrap: true
 
 # Step 5: Log - Record the summary
 - log: "Summary for {{inputs[0].topic}}: {{_}}"
@@ -101,6 +101,7 @@
 - return: 
     summary: "_"
     topic: "inputs[0].topic"
+                          
 """)
 
 # Creating/Updating a task

cookbooks/07-Integrating_External_Tools_and_APIs.py

@@ -56,13 +56,6 @@
   integration:
     provider: wikipedia
 
-- name: news_api
-  type: integration
-  integration:
-    provider: newsapi
-    setup:
-      api_key: "YOUR_NEWSAPI_API_KEY"
-
 main:
 - tool: brave_search
   arguments:
@@ -76,12 +69,6 @@
   arguments:
     query: "{{inputs[0].topic}}"
 
-- tool: news_api
-  arguments:
-    q: "{{inputs[0].topic}}"
-    language: "en"
-    sortBy: "relevancy"
-
 - prompt:
   - role: system
     content: >-
@@ -90,16 +77,14 @@
       
       1. Overview (based on Wikipedia data)
       2. Latest Developments (based on Brave Search results)
-      3. Recent News (based on News API results)
-      4. Weather Impact (if applicable, based on weather data for {{inputs[0].location}})
-      5. Analysis and Conclusions
+      3. Weather Impact (if applicable, based on weather data for {{inputs[0].location}})
+      4. Analysis and Conclusions
       
       Use the following data for your report:
       
       Brave Search Results: {{outputs[0]}}
       Weather Data: {{outputs[1]}}
       Wikipedia Data: {{outputs[2]}}
-      News API Results: {{outputs[3]}}
       
       Provide a well-structured, informative report that synthesizes information from all these sources.
   unwrap: true