Template detection deprecated.

pyproject.toml

@@ -13,7 +13,7 @@ python = ">=3.9,<4.0.0"
 oaklib = ">=0.5.0"
 PyGithub = "^2.3.0"
 setuptools = ">=70.1.1"
-llm-change-agent = {version = "^0.0.4", extras = ["llm"], optional = true}
+llm-change-agent = {version = "^0.0.7", extras = ["llm"], optional = true}
 
 
 [tool.poetry.group.dev.dependencies]

src/ontobot_change_agent/api.py

@@ -13,6 +13,7 @@
 import kgcl_schema.grammar.parser as kgcl_parser
 import requests
 import yaml
+from deprecated import deprecated
 from github import Github
 from github.Issue import Issue
 from oaklib.cli import query_terms_iterator
@@ -192,6 +193,7 @@ def process_issue_via_oak(input: str, commands: list, output: str = None):
     impl_obj.dump(output, output_format)
 
 
+@deprecated(version="0.5.0", reason="Use process_issue_via_oak instead.")
 def process_new_term_template(body, prefix):
     """Process an issue generated via new term request template.
 

src/ontobot_change_agent/cli.py

@@ -10,13 +10,35 @@
 
 import click
 
+from ontobot_change_agent.constants import OWL_EXTENSION
+
 try:
     from llm_change_agent.cli import execute
+    from llm_change_agent.utils.llm_utils import (
+        extract_commands,
+        get_anthropic_models,
+        get_lbl_cborg_models,
+        get_ollama_models,
+        get_openai_models,
+    )
+
+    from ontobot_change_agent.constants import (
+        ANTHROPIC_PROVIDER,
+        CBORG_PROVIDER,
+        OLLAMA_PROVIDER,
+        OPENAI_PROVIDER,
+    )
 
     llm_change_agent_available = True
+    ALL_AVAILABLE_PROVIDERS = [OPENAI_PROVIDER, OLLAMA_PROVIDER, ANTHROPIC_PROVIDER, CBORG_PROVIDER]
+    ALL_AVAILABLE_MODELS = (
+        get_openai_models() + get_ollama_models() + get_anthropic_models() + get_lbl_cborg_models()
+    )
 except ImportError:
     # Handle the case where the package is not installed
     llm_change_agent_available = False
+    ALL_AVAILABLE_PROVIDERS = []
+    ALL_AVAILABLE_MODELS = []
 
 
 from ontobot_change_agent import __version__
@@ -27,9 +49,7 @@
     get_ontobot_implementers,
     process_issue_via_jar,
     process_issue_via_oak,
-    process_new_term_template,
 )
-from ontobot_change_agent.constants import NEW_TERM_LABEL, OWL_EXTENSION
 
 __all__ = [
     "main",
@@ -123,6 +143,12 @@ def main(verbose: int, quiet: bool):
     default=False,
     help="Use llm-change-agent for processing.",
 )
+llm_provider_option = click.option(
+    "--provider", type=click.Choice(ALL_AVAILABLE_PROVIDERS), help="Provider to use for generation."
+)
+llm_model_option = click.option(
+    "--model", type=click.Choice(ALL_AVAILABLE_MODELS), help="Model to use for generation."
+)
 
 
 @main.command()
@@ -188,6 +214,8 @@ def get_labels(repo: str, token: str):
 @jar_path_option
 @output_option
 @use_llm_option
+@llm_provider_option
+@llm_model_option
 def process_issue(
     input: str,
     repo: str,
@@ -200,6 +228,8 @@ def process_issue(
     jar_path: str,
     output: str,
     use_llm: bool = False,
+    provider: str = None,
+    model: str = None,
 ):
     """Run processes based on issue label.
 
@@ -240,20 +270,7 @@ def process_issue(
             KGCL_COMMANDS = []
             formatted_body = ""
 
-            if NEW_TERM_LABEL in issue["labels"]:
-                click.echo("New term label found. Processing new term template...")
-                formatted_body = "The following input was provided: </br> "
-                KGCL_COMMANDS, body_as_dict, reason = process_new_term_template(
-                    issue["body"], prefix
-                )
-                if reason is None:
-                    click.echo("No reason found to skip. Converting body to markdown...")
-                    formatted_body += _convert_to_markdown(body_as_dict)
-                    formatted_body += "</br> The following commands were executed: </br> "
-                else:
-                    click.echo(f"{issue[TITLE]} does not need ontobot's attention since {reason}")
-                    break
-            elif ontobot_pattern.match(issue[BODY].lower()):
+            if ontobot_pattern.match(issue[BODY].lower()):
                 click.echo("Ontobot apply command found. Extracting KGCL commands...")
                 formatted_body = "The following commands were executed: </br> "
                 KGCL_COMMANDS = _get_kgcl_commands(issue[BODY])
@@ -262,9 +279,9 @@ def process_issue(
                 click.echo(f"Summoning llm-change-agent for {issue[TITLE]}")
                 with click.Context(execute) as ctx:
                     ctx.params["prompt"] = issue[BODY]
-                    ctx.params["provider"] = "cborg"
-                    ctx.params["model"] = "google/gemini:latest"
-                    response = execute.invoke(ctx)
+                    ctx.params["provider"] = provider
+                    ctx.params["model"] = model
+                    response = extract_commands(execute.invoke(ctx))
                     KGCL_COMMANDS = [
                         command.replace('"', "'") for command in ast.literal_eval(response)
                     ]

src/ontobot_change_agent/constants.py

@@ -1,10 +1,23 @@
 """Constants."""
 
-NEW_TERM_LABEL = "New term request"
-SYNONYM_LABEL = "synonym"
+from os import getenv
 
 # GitHUb Template Attributes.
 SYNONYMS = "Synonyms"
 SYNONYM_TYPE = "Synonym type"
 DEFINITION = "Definition"
 OWL_EXTENSION = ".owl"
+
+OPENAI_KEY = str(getenv("OPENAI_API_KEY"))
+ANTHROPIC_KEY = str(getenv("ANTHROPIC_API_KEY"))
+CBORG_KEY = str(getenv("CBORG_API_KEY"))
+
+OPEN_AI_MODEL = "gpt-4o-2024-08-06"
+ANTHROPIC_MODEL = "claude-3-5-sonnet-20240620"
+OLLAMA_MODEL = "llama3.1"  # ! not all models support tools (tool calling)
+CBORG_MODEL = "anthropic/claude-sonnet"
+
+OPENAI_PROVIDER = "openai"
+ANTHROPIC_PROVIDER = "anthropic"
+OLLAMA_PROVIDER = "ollama"
+CBORG_PROVIDER = "cborg"