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https://github.com/johndoe6345789/AutoMetabuilder.git
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johndoe6345789
877ba64de8
- Implement core components: CLI argument parsing, environment loading, GitHub service creation, and logging configuration. - Add support for OpenAI client setup and model resolution. - Develop SDLC context loader from GitHub and repository files. - Implement workflow context and engine builders. - Introduce major workflow packages: `game_tick_loop` and `contextual_iterative_loop`. - Update localization files with new package descriptions and labels. - Streamline web navigation by loading items from a dedicated JSON file.
97 lines
3.5 KiB
Python
97 lines
3.5 KiB
Python
"""Handle tool calls from LLM responses."""
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import json
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def handle_tool_calls(resp_msg, tool_map: dict, msgs: dict, args, policies: dict, logger) -> list:
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"""Execute tool calls and return tool result messages."""
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if not resp_msg.tool_calls:
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return []
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modifying_tools = set(policies.get("modifying_tools", []))
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tool_results = []
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for tool_call in resp_msg.tool_calls:
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function_name = tool_call.function.name
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call_id = tool_call.id
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payload = json.loads(tool_call.function.arguments)
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logger.trace("Tool call %s payload: %s", function_name, payload)
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handler = tool_map.get(function_name)
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if not handler:
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msg_template = msgs.get(
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"error_tool_not_found",
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"Tool {name} not found or unavailable."
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)
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msg = msg_template.format(name=function_name)
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logger.error(msg)
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tool_results.append({
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"tool_call_id": call_id,
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"role": "tool",
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"name": function_name,
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"content": msg,
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})
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continue
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if not args.yolo:
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confirm = input(
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msgs.get(
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"confirm_tool_execution",
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"Do you want to execute {name} with {args}? [y/N]: "
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).format(name=function_name, args=payload)
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)
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if confirm.lower() != "y":
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skipped_template = msgs.get("info_tool_skipped", "Skipping tool: {name}")
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logger.info(skipped_template.format(name=function_name))
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tool_results.append({
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"tool_call_id": call_id,
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"role": "tool",
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"name": function_name,
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"content": "Skipped by user.",
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})
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continue
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if args.dry_run and function_name in modifying_tools:
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logger.info(
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msgs.get(
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"info_dry_run_skipping",
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"DRY RUN: Skipping state-modifying tool {name}"
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).format(name=function_name)
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)
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tool_results.append({
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"tool_call_id": call_id,
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"role": "tool",
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"name": function_name,
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"content": "Skipped due to dry-run.",
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})
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continue
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exec_template = msgs.get("info_executing_tool", "Executing tool: {name}")
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logger.info(exec_template.format(name=function_name))
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try:
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result = handler(**payload)
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content = str(result) if result is not None else "Success"
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if hasattr(result, "__iter__") and not isinstance(result, str):
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items = list(result)[:5]
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content = "\n".join([f"- {item}" for item in items])
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logger.info(content)
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elif result is not None:
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logger.info(result)
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tool_results.append({
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"tool_call_id": call_id,
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"role": "tool",
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"name": function_name,
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"content": content,
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})
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except Exception as error: # pylint: disable=broad-exception-caught
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error_msg = f"Error executing {function_name}: {error}"
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logger.error(error_msg)
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tool_results.append({
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"tool_call_id": call_id,
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"role": "tool",
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"name": function_name,
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"content": error_msg,
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})
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return tool_results
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