Initial commit: Meeting Room v0.1.0

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)

meeting_room/backends/autogen/run.py

@@ -0,0 +1,60 @@
+"""AutoGen backend — uses microsoft/autogen for multi-agent conversation."""
+
+
+def check_installed():
+    try:
+        import autogen  # noqa
+        return True
+    except ImportError:
+        return False
+
+
+def run(scenario_path: str, config: dict):
+    if not check_installed():
+        print("AutoGen is not installed. Run:\n  pip install meeting-room[autogen]")
+        return []
+
+    import yaml
+    import autogen
+    from meeting_room.api_client import init_providers
+    from meeting_room.scenario_loader import load_scenario
+
+    scenario = load_scenario(scenario_path)
+    init_providers(config)
+    roles = config["roles"]
+    participants = scenario.get("participants", list(roles.keys()))
+
+    llm_configs = {}
+    for prov_name, prov_cfg in config["providers"].items():
+        llm_configs[prov_name] = {
+            "base_url": prov_cfg["base_url"],
+            "api_key": prov_cfg["api_key"],
+        }
+
+    agents = []
+    for role_id in participants:
+        role = roles[role_id]
+        prov = role["provider"]
+        llm_cfg = dict(llm_configs[prov])
+        llm_cfg["model"] = role["model"]
+
+        agent = autogen.ConversableAgent(
+            name=role["name"],
+            system_message=role["system_prompt"].strip(),
+            llm_config={"config_list": [llm_cfg], "temperature": role.get("temperature", 0.7)},
+            human_input_mode="NEVER",
+        )
+        agents.append(agent)
+
+    groupchat = autogen.GroupChat(
+        agents=agents,
+        messages=[],
+        max_round=scenario.get("max_rounds", config["defaults"]["max_rounds"]),
+    )
+    manager = autogen.GroupChatManager(
+        groupchat=groupchat,
+        llm_config={"config_list": [llm_configs[participants[0]]]},
+    )
+
+    agents[0].initiate_chat(manager, message=scenario["problem"])
+    return groupchat.messages