99cb5a499b
Multi-agent discussion framework: - Custom/AutoGen/CrewAI backends - Multi-provider API (role→model binding) - Tools system (files, web, commands) - Markdown scenarios with YAML frontmatter - Workspace init (meeting-room init) - Session save (--save)
61 lines
1.8 KiB
Python
61 lines
1.8 KiB
Python
"""AutoGen backend — uses microsoft/autogen for multi-agent conversation."""
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def check_installed():
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try:
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import autogen # noqa
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return True
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except ImportError:
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return False
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def run(scenario_path: str, config: dict):
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if not check_installed():
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print("AutoGen is not installed. Run:\n pip install meeting-room[autogen]")
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return []
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import yaml
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import autogen
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from meeting_room.api_client import init_providers
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from meeting_room.scenario_loader import load_scenario
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scenario = load_scenario(scenario_path)
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init_providers(config)
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roles = config["roles"]
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participants = scenario.get("participants", list(roles.keys()))
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llm_configs = {}
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for prov_name, prov_cfg in config["providers"].items():
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llm_configs[prov_name] = {
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"base_url": prov_cfg["base_url"],
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"api_key": prov_cfg["api_key"],
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}
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agents = []
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for role_id in participants:
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role = roles[role_id]
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prov = role["provider"]
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llm_cfg = dict(llm_configs[prov])
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llm_cfg["model"] = role["model"]
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agent = autogen.ConversableAgent(
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name=role["name"],
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system_message=role["system_prompt"].strip(),
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llm_config={"config_list": [llm_cfg], "temperature": role.get("temperature", 0.7)},
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human_input_mode="NEVER",
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)
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agents.append(agent)
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groupchat = autogen.GroupChat(
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agents=agents,
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messages=[],
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max_round=scenario.get("max_rounds", config["defaults"]["max_rounds"]),
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)
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manager = autogen.GroupChatManager(
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groupchat=groupchat,
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llm_config={"config_list": [llm_configs[participants[0]]]},
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)
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agents[0].initiate_chat(manager, message=scenario["problem"])
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return groupchat.messages
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