From b29fd2d4dc4c45918c19b40d0b7887a8a2e494a5 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Mon, 10 Mar 2025 02:06:21 -0400 Subject: [PATCH 01/18] redis agent --- .../llm_agent_sotopia.py | 11 +- .../sotopia_original_replica/output.toml | 10 + .../websocket_simulation_client.py | 181 ++++++++++ examples/fix_missing_episodes.py | 1 - examples/use_custom_dimensions.py | 1 - pyproject.toml | 1 - sotopia-chat/chat_server.py | 2 - sotopia/api/README.md | 4 +- sotopia/api/fastapi_server.py | 41 ++- sotopia/api/websocket_utils.py | 316 +++++++++++++++--- sotopia/cli/benchmark/benchmark.py | 1 - sotopia/cli/install/redis-data/dump.rdb | Bin 0 -> 7547 bytes sotopia/database/evaluation_dimensions.py | 5 +- sotopia/envs/__init__.py | 3 +- sotopia/envs/parallel.py | 2 - sotopia/experimental/__init__.py | 3 +- sotopia/experimental/agents/datamodels.py | 10 +- sotopia/experimental/agents/moderator.py | 132 +++++--- sotopia/experimental/agents/redis_agent.py | 169 ++++++++++ .../experimental/envs/generate_executable.py | 45 +++ .../envs/templates/multiagents.jinja2 | 81 +++++ .../envs/utility_nodes/chat_print_node.py | 151 +++++++++ sotopia/server.py | 6 - tests/integration/test_benchmark.py | 1 - uv.lock | 6 +- 25 files changed, 1046 insertions(+), 137 deletions(-) create mode 100644 examples/experimental/sotopia_original_replica/websocket_simulation_client.py create mode 100644 sotopia/cli/install/redis-data/dump.rdb create mode 100644 sotopia/experimental/agents/redis_agent.py create mode 100644 sotopia/experimental/envs/generate_executable.py create mode 100644 sotopia/experimental/envs/templates/multiagents.jinja2 create mode 100644 sotopia/experimental/envs/utility_nodes/chat_print_node.py diff --git a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py index 0b1f87d10..6ccccb45b 100644 --- a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py +++ b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py @@ -63,20 +63,13 @@ def set_profile(self, use_pk_value: bool) -> None: assert ( self.background is not None and self.name is not None ), "Background and name must be provided" - if " " in self.name: - first_name, last_name = self.name.split(" ", 1) - else: - first_name = self.name - last_name = "" - profile = AgentProfile( - first_name=first_name, last_name=last_name, **self.background - ) + profile = AgentProfile(**self.background) else: assert not self.agent_profile_pk == "", "Agent profile pk must be provided" profile = AgentProfile.get(pk=self.agent_profile_pk) self.agent_profile_pk = profile.pk - self.name = " ".join([profile.first_name, profile.last_name]).strip() + self.name = profile.first_name self.background = profile.model_dump() def _format_message_history(self, message_history: list[Observation]) -> str: diff --git a/examples/experimental/sotopia_original_replica/output.toml b/examples/experimental/sotopia_original_replica/output.toml index 03943f813..ccca0529b 100644 --- a/examples/experimental/sotopia_original_replica/output.toml +++ b/examples/experimental/sotopia_original_replica/output.toml @@ -82,3 +82,13 @@ node_class = "evaluator" input_channels = ["moderator:evaluator"] output_channels = ["evaluator:moderator"] model_name = "gpt-4" + + +[[nodes]] +node_name = "redis_agent" +node_class = "redis_agent" + +[nodes.node_args] +input_channels = ["moderator:redis_agent"] +output_channels = ["redis_agent:moderator"] +control_channel = ["redis_agent:websocket_uuid"] diff --git a/examples/experimental/sotopia_original_replica/websocket_simulation_client.py b/examples/experimental/sotopia_original_replica/websocket_simulation_client.py new file mode 100644 index 000000000..78f0ae7ad --- /dev/null +++ b/examples/experimental/sotopia_original_replica/websocket_simulation_client.py @@ -0,0 +1,181 @@ +import asyncio +import json +import logging +from typing import List, Optional, Any + +import aiohttp + +# Setup logging +logging.basicConfig( + level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" +) +logger = logging.getLogger("sotopia-websocket-client") + +# API endpoint configuration +BASE_URL = "http://localhost:8080" # Updated to match your server port +WS_URL = ( + "ws://localhost:8080/ws/simulation?token=demo-token" # Updated WebSocket endpoint +) + + +class WSMessageType: + SERVER_MSG = "SERVER_MSG" + CLIENT_MSG = "CLIENT_MSG" + ERROR = "ERROR" + START_SIM = "START_SIM" + END_SIM = "END_SIM" + FINISH_SIM = "FINISH_SIM" + + +async def check_api_connection() -> bool: + """ + Ping the API to check if the connection is available. + """ + try: + async with aiohttp.ClientSession() as session: + # Use the health check endpoint + async with session.get(f"{BASE_URL}/health") as response: + if response.status == 200: + health_data = await response.json() + logger.info(f"API health check: {health_data['status']}") + if health_data["status"] == "ok": + return True + else: + logger.warning( + f"API health check returned degraded status: {health_data}" + ) + return False + else: + logger.warning( + f"API health check failed with status code: {response.status}" + ) + return False + except Exception as e: + logger.error(f"Failed to connect to API: {e}") + return False + + +async def run_simulation( + env_id: str, + agent_ids: List[str], + agent_models: Optional[List[str]] = None, + env_profile_dict: Optional[dict[str, Any]] = None, + agent_profile_dicts: Optional[List[dict[str, Any]]] = None, + evaluator_model: Optional[str] = None, + evaluation_dimension_list_name: Optional[str] = None, +) -> None: + """ + Connect to the WebSocket endpoint and run a simulation. + + Args: + env_id: ID of the environment to use + agent_ids: List of agent IDs to participate in the simulation + agent_models: List of models to use for each agent + evaluator_model: Model to use for evaluation + evaluation_dimension_list_name: Name of evaluation dimension list + """ + # Check API connection + if not await check_api_connection(): + logger.error("Cannot proceed with simulation: API connection failed") + return + + # Prepare simulation start message + start_message = { + "type": WSMessageType.START_SIM, + "data": { + "env_id": env_id, + "agent_ids": agent_ids, + }, + } + + # Add optional parameters if provided + if agent_models: + start_message["data"]["agent_models"] = agent_models + if evaluator_model: + start_message["data"]["evaluator_model"] = evaluator_model + if evaluation_dimension_list_name: + start_message["data"]["evaluation_dimension_list_name"] = ( + evaluation_dimension_list_name + ) + if env_profile_dict: + start_message["data"]["env_profile_dict"] = env_profile_dict + if agent_profile_dicts: + start_message["data"]["agent_profile_dicts"] = agent_profile_dicts + + # Connect to WebSocket + session = aiohttp.ClientSession() + try: + async with session.ws_connect(WS_URL) as ws: + logger.info("Connected to WebSocket") + # Send simulation start message + await ws.send_json(start_message) + logger.info(f"Sent simulation start message: {start_message}") + + # Listen for messages + while True: + msg = await ws.receive() + if msg.type == aiohttp.WSMsgType.TEXT: + data = json.loads(msg.data) + msg_type = data.get("type") + + if msg_type == WSMessageType.SERVER_MSG: + logger.info(f"Server message: {data.get('data', {})}") + elif ( + msg_type == WSMessageType.END_SIM + or msg_type == WSMessageType.FINISH_SIM + ): + logger.info("Simulation completed!") + logger.info( + f"Result: {json.dumps(data.get('data', {}), indent=2)}" + ) + break + elif msg_type == WSMessageType.ERROR: + logger.error(f"Error: {data.get('data', {}).get('message')}") + break + else: + logger.info( + f"Received message of type {msg_type}: {data.get('data', {})}" + ) + elif msg.type == aiohttp.WSMsgType.CLOSED: + logger.info("WebSocket connection closed") + break + elif msg.type == aiohttp.WSMsgType.ERROR: + logger.error(f"WebSocket error: {msg.data}") + break + except Exception as e: + logger.error(f"Error during WebSocket communication: {e}") + finally: + await session.close() + + +async def main(): + # Example parameters + env_id = "env_123" # Replace with actual environment ID + agent_ids = ["agent_1", "agent_2", "agent_3"] # Replace with actual agent IDs + agent_models = ["gpt-4o-mini", "gpt-4o-mini", "gpt-4o-mini"] + evaluator_model = "gpt-4o" + env_profile_dict = { + "codename": "test", + "scenario": "Just chat (finish the conversation in 2 turns)", + "agent_goals": ["Just chat"] * len(agent_ids), + } + agent_profile_dicts = [ + { + "first_name": f"agent_{agent_id}", + "last_name": f"agent_{agent_id}", + } + for agent_id in agent_ids + ] + await run_simulation( + env_id=env_id, + agent_ids=agent_ids, + agent_models=agent_models, + env_profile_dict=env_profile_dict, + agent_profile_dicts=agent_profile_dicts, + evaluator_model=evaluator_model, + evaluation_dimension_list_name="sotopia", + ) + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/examples/fix_missing_episodes.py b/examples/fix_missing_episodes.py index 1e8ea580a..3ce42eb2d 100644 --- a/examples/fix_missing_episodes.py +++ b/examples/fix_missing_episodes.py @@ -218,7 +218,6 @@ def yield_env_agent_combo( env_profile = EnvironmentProfile.get(env_id) env = ParallelSotopiaEnv( env_profile=env_profile, - model_name=model_names["env"], action_order="round-robin", evaluators=[ RuleBasedTerminatedEvaluator(max_turn_number=20, max_stale_turn=2), diff --git a/examples/use_custom_dimensions.py b/examples/use_custom_dimensions.py index 576e2dfd5..4c3fe4718 100644 --- a/examples/use_custom_dimensions.py +++ b/examples/use_custom_dimensions.py @@ -167,7 +167,6 @@ def run_simple_sample_with_custom_samples( ) environment: ParallelSotopiaEnv = ParallelSotopiaEnv( env_profile=all_envs[0], - model_name="gpt-4o-mini", action_order="round-robin", evaluators=[evaluator], terminal_evaluators=[terminal_evaluator], diff --git a/pyproject.toml b/pyproject.toml index 145c12cef..018a6e56c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -41,7 +41,6 @@ api = [ "fastapi[standard]", "uvicorn", "streamlit", - "websockets", "modal" ] test = ["pytest", "pytest-cov", "pytest-asyncio"] diff --git a/sotopia-chat/chat_server.py b/sotopia-chat/chat_server.py index aa6a68042..3315cdca7 100644 --- a/sotopia-chat/chat_server.py +++ b/sotopia-chat/chat_server.py @@ -58,7 +58,6 @@ async def _start_server_with_two_session_ids_and_agent_env_combo( env_agent_combo_storage = EnvAgentComboStorage.get(agent_env_combo_pk) env = ParallelSotopiaEnv( env_profile=EnvironmentProfile.get(env_agent_combo_storage.env_id), - model_name="gpt-4", action_order="round-robin", evaluators=[ RuleBasedTerminatedEvaluator(max_turn_number=20, max_stale_turn=2), @@ -91,7 +90,6 @@ async def _start_server_with_one_session_id_and_agent_env_combo( env_agent_combo_storage = EnvAgentComboStorage.get(agent_env_combo_pk) env = ParallelSotopiaEnv( env_profile=EnvironmentProfile.get(env_agent_combo_storage.env_id), - model_name="gpt-4", action_order="round-robin", evaluators=[ RuleBasedTerminatedEvaluator(max_turn_number=20, max_stale_turn=2), diff --git a/sotopia/api/README.md b/sotopia/api/README.md index cf876af0c..37845fc7e 100644 --- a/sotopia/api/README.md +++ b/sotopia/api/README.md @@ -7,7 +7,7 @@ First you need to have a Modal account and logged in with `modal setup` To deploy the FastAPI server to Modal, run the following command: ```bash -cd sotopia/ui/fastapi_server +cd sotopia/api modal deploy modal_api_server.py ``` ## FastAPI Server @@ -15,7 +15,7 @@ modal deploy modal_api_server.py To run the FastAPI server, you can use the following command: ```bash uv run rq worker -uv run fastapi run sotopia/ui/fastapi_server.py --workers 4 --port 8080 +uv run fastapi run sotopia/api/fastapi_server.py --workers 4 --port 8080 ``` Here is also an example of using the FastAPI server: diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index 7c6dcc02d..1ac42c70f 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -157,6 +157,8 @@ async def create_simulator( agent_models: list[str], evaluator_model: str, evaluation_dimension_list_name: str, + env_profile_dict: dict[str, Any], + agent_profile_dicts: list[dict[str, Any]], ) -> WebSocketSotopiaSimulator: try: return WebSocketSotopiaSimulator( @@ -165,6 +167,8 @@ async def create_simulator( agent_models=agent_models, evaluator_model=evaluator_model, evaluation_dimension_list_name=evaluation_dimension_list_name, + env_profile_dict=env_profile_dict, + agent_profile_dicts=agent_profile_dicts, ) except Exception as e: error_msg = f"Failed to create simulator: {e}" @@ -414,6 +418,35 @@ def __init__(self, *args, **kwargs) -> None: # type: ignore self.setup_routes() def setup_routes(self) -> None: + @self.get("/health", status_code=200) + async def health_check() -> dict[str, Any]: + """Comprehensive health check endpoint""" + health_status = { + "status": "ok", + "message": "All systems operational", + "components": {}, + } + + # Check Redis connection + try: + redis_conn = get_redis_connection() + redis_conn.ping() + health_status["components"]["redis"] = "connected" + except Exception as e: + health_status["status"] = "degraded" + health_status["components"]["redis"] = f"error: {str(e)}" + + # Check database connections by attempting a simple query + try: + # Simple test query that should be fast + _ = EnvironmentProfile.all() + health_status["components"]["database"] = "connected" + except Exception as e: + health_status["status"] = "degraded" + health_status["components"]["database"] = f"error: {str(e)}" + + return health_status + self.get("/scenarios", response_model=list[EnvironmentProfile])( get_scenarios_all ) @@ -628,7 +661,6 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: start_msg = await websocket.receive_json() if start_msg.get("type") != WSMessageType.START_SIM.value: continue - async with manager.state.start_simulation(token): simulator = await manager.create_simulator( env_id=start_msg["data"]["env_id"], @@ -636,6 +668,12 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: agent_models=start_msg["data"].get( "agent_models", ["gpt-4o-mini", "gpt-4o-mini"] ), + env_profile_dict=start_msg["data"].get( + "env_profile_dict", {} + ), + agent_profile_dicts=start_msg["data"].get( + "agent_profile_dicts", [] + ), evaluator_model=start_msg["data"].get( "evaluator_model", "gpt-4o" ), @@ -643,6 +681,7 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: "evaluation_dimension_list_name", "sotopia" ), ) + print(f"Simulator created: {simulator}") await manager.run_simulation(websocket, simulator) except WebSocketDisconnect: diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index 4463e542c..2505eafa2 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -4,7 +4,7 @@ RuleBasedTerminatedEvaluator, ) from sotopia.agents import Agents, LLMAgent -from sotopia.messages import Observation +from sotopia.messages import Observation, SimpleMessage from sotopia.envs import ParallelSotopiaEnv from sotopia.database import ( EnvironmentProfile, @@ -15,8 +15,15 @@ from sotopia.server import arun_one_episode from enum import Enum -from typing import Type, TypedDict, Any, AsyncGenerator +from typing import Type, TypedDict, Any, AsyncGenerator, List from pydantic import BaseModel +import asyncio +import json +import os +import redis.asyncio # Use Redis async client +from sotopia.experimental import generate_executable +import uuid +from sotopia.messages import Message class WSMessageType(str, Enum): @@ -63,16 +70,27 @@ def get_env_agents( evaluator_model: str, evaluation_dimension_list_name: str, ) -> tuple[ParallelSotopiaEnv, Agents, dict[str, Observation]]: - # environment_profile = EnvironmentProfile.find().all()[0] - # agent_profiles = AgentProfile.find().all()[:2] assert len(agent_ids) == len( agent_models ), f"Provided {len(agent_ids)} agent_ids but {len(agent_models)} agent_models" - - environment_profile: EnvironmentProfile = EnvironmentProfile.get(env_id) - agent_profiles: list[AgentProfile] = [ - AgentProfile.get(agent_id) for agent_id in agent_ids - ] + try: + environment_profile: EnvironmentProfile = EnvironmentProfile.get(env_id) + agent_profiles: list[AgentProfile] = [ + AgentProfile.get(agent_id) for agent_id in agent_ids + ] + except Exception: + environment_profile = EnvironmentProfile( + codename=f"env_{env_id}", + scenario="Just chat (finish the conversation in 2 turns)", + agent_goals=["Just chat"] * len(agent_ids), + ) + agent_profiles = [ + AgentProfile( + first_name=f"agent_{agent_id}", + last_name=f"agent_{agent_id}", + ) + for agent_id in agent_ids + ] agent_list = [ LLMAgent( @@ -93,7 +111,6 @@ def get_env_agents( agents = Agents({agent.agent_name: agent for agent in agent_list}) env = ParallelSotopiaEnv( action_order="round-robin", - model_name="gpt-4o-mini", evaluators=[ RuleBasedTerminatedEvaluator(max_turn_number=20, max_stale_turn=2), ], @@ -105,8 +122,8 @@ def get_env_agents( ], env_profile=environment_profile, ) - - environment_messages = env.reset(agents=agents, omniscient=False) + if len(agent_ids) == 2: + environment_messages = env.reset(agents=agents, omniscient=False) agents.reset() return env, agents, environment_messages @@ -133,39 +150,64 @@ def __init__( self, env_id: str, agent_ids: list[str], + env_profile_dict: dict[str, Any] = {}, + agent_profile_dicts: list[dict[str, Any]] = [], agent_models: list[str] = ["gpt-4o-mini", "gpt-4o-mini"], evaluator_model: str = "gpt-4o", evaluation_dimension_list_name: str = "sotopia", ) -> None: - self.env, self.agents, self.environment_messages = get_env_agents( - env_id, - agent_ids, - agent_models, - evaluator_model, - evaluation_dimension_list_name, - ) - self.messages: list[list[tuple[str, str, str]]] = [] - self.messages.append( - [ - ( - "Environment", - agent_name, - self.environment_messages[agent_name].to_natural_language(), + if len(agent_ids) == 2: + try: + self.env, self.agents, self.environment_messages = get_env_agents( + env_id, + agent_ids, + agent_models, + evaluator_model, + evaluation_dimension_list_name, ) - for agent_name in self.env.agents + except Exception as e: + raise Exception(f"Error in loading environment or agents profiles: {e}") + + for index, agent_name in enumerate(self.env.agents): + self.agents[agent_name].goal = self.env.profile.agent_goals[index] + else: + assert ( + env_profile_dict + ), "env_profile_dict must be provided if number of agents is greater than 2" + assert agent_profile_dicts, "agent_profile_dicts must be provided if number of agents is greater than 2" + self.env = EnvironmentProfile(**env_profile_dict) + self.agents = [ + AgentProfile(**agent_profile_dict) + for agent_profile_dict in agent_profile_dicts ] - ) - for index, agent_name in enumerate(self.env.agents): - self.agents[agent_name].goal = self.env.profile.agent_goals[index] + self.agent_models = agent_models + self.evaluator_model = evaluator_model + self.evaluation_dimension_list_name = evaluation_dimension_list_name + + self.connection_id = str(uuid.uuid4()) async def arun(self) -> AsyncGenerator[dict[str, Any], None]: # Use sotopia to run the simulation - generator = await arun_one_episode( - env=self.env, - agent_list=list(self.agents.values()), - push_to_db=False, - streaming=True, - ) + if len(self.agents) == 2: + generator = await arun_one_episode( + env=self.env, + agent_list=list(self.agents.values()), + push_to_db=False, + streaming=True, + ) + elif len(self.agents) > 2: + generator = arun_sotopia_original_replica( + env=self.env, + agent_list=self.agents, + agent_models=self.agent_models, + evaluator_model=self.evaluator_model, + evaluation_dimension_list_name=self.evaluation_dimension_list_name, + push_to_db=False, + streaming=True, + connection_id=self.connection_id, + ) + else: + raise ValueError("Number of agents must be 2 or greater") assert isinstance( generator, AsyncGenerator @@ -176,22 +218,192 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: if messages[-1][0][0] == "Evaluation": reasoning = messages[-1][0][2].to_natural_language() rewards = eval(messages[-2][0][2].to_natural_language()) - - epilog = EpisodeLog( - environment=self.env.profile.pk, - agents=[agent.profile.pk for agent in self.agents.values()], - tag="test", - models=["gpt-4o", "gpt-4o", "gpt-4o-mini"], - messages=[ - [(m[0], m[1], m[2].to_natural_language()) for m in messages_in_turn] - for messages_in_turn in messages - ], - reasoning=reasoning, - rewards=rewards, - rewards_prompt="", - ) - + try: + epilog = EpisodeLog( + environment=self.env.profile.pk, + agents=[agent.profile.pk for agent in self.agents.values()], + tag="test", + messages=[ + [ + (m[0], m[1], m[2].to_natural_language()) + for m in messages_in_turn + ] + for messages_in_turn in messages + ], + reasoning=reasoning, + rewards=rewards, + rewards_prompt="", + ).dict() + except Exception: + epilog = { + "environment": self.env.pk, + "agents": [agent.pk for agent in self.agents], + "tag": "test", + "messages": [ + [ + (m[0], m[1], m[2].to_natural_language()) + for m in messages_in_turn + ] + for messages_in_turn in messages + ], + "reasoning": reasoning, + "rewards": rewards, + "rewards_prompt": "", + } yield { "type": "messages", - "messages": epilog.dict(), + "messages": epilog, } + + +async def arun_sotopia_original_replica( + env: EnvironmentProfile, + agent_list: List[AgentProfile], + agent_models: List[str], + evaluator_model: str, + evaluation_dimension_list_name: str, + push_to_db: bool = True, + streaming: bool = False, + connection_id: str = "", +) -> AsyncGenerator[List[List[tuple[str, str, Message]]], None]: + """ + Run a Sotopia simulation using the original replica method for more than 2 agents. + + Args: + env: The Sotopia environment + agent_list: List of agents participating in the simulation + push_to_db: Whether to push results to database + streaming: Whether to stream results + + Returns: + AsyncGenerator yielding simulation messages + """ + # Create data folder if it doesn't exist + data_folder = os.path.join(os.getcwd(), "data") # Need to be careful here + os.makedirs(data_folder, exist_ok=True) + + # Create raw config file in the data folder + output_toml_path = os.path.join(data_folder, f"output_{connection_id}.toml") + + # Prepare raw config data + config_data = { + "redis_url": "redis://localhost:6379/0", + "extra_modules": [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + "sotopia.experimental.agents.redis_agent", + ], + "agent_node": "llm_agent", + "default_model": "gpt-4o-mini", + "evaluator_model": evaluator_model, + "use_pk_value": False, + "push_to_db": push_to_db, + "evaluate_episode": False, + "max_turns": 3, + "scenario": env.scenario, + "agents": [ + { + "name": agent.first_name, + "goal": env.agent_goals[i] if i < len(env.agent_goals) else "", + "model_name": agent_models[i] + if i < len(agent_models) + else "gpt-4o-mini", + "background": agent.dict(), + } + for i, agent in enumerate(agent_list) + ] + + [ + { + "name": "redis_agent", + } + ], + "connection_id": connection_id, + } + generate_executable(config_data, output_toml_path) + # Run the dataflow + run_cmd = f"aact run-dataflow {output_toml_path}" + # Start the process and capture stdout and stderr for debugging + proc = await asyncio.create_subprocess_shell( + run_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE + ) + + # Create tasks to read and log stdout and stderr without blocking + async def log_stdout(): + while True: + line = await proc.stdout.readline() + if not line: + break + print(f"Dataflow output: {line.decode().strip()}") + + async def log_stderr(): + while True: + line = await proc.stderr.readline() + if not line: + break + print(f"Dataflow error: {line.decode().strip()}") + + # Start the logging tasks + asyncio.create_task(log_stdout()) + asyncio.create_task(log_stderr()) + + # Connect to Redis using the async client + redis_client = redis.asyncio.Redis(host="localhost", port=6379, db=0) + pubsub = redis_client.pubsub() + channel = f"{connection_id}" if connection_id else "sotopia:simulation" + print(f"Subscribing to channel: {channel}") + await pubsub.subscribe(channel) + + # Parse output and yield messages using Redis pubsub + + try: + # Process messages from pubsub using async iterator + async for message in pubsub.listen(): + print("--------------------------------") + print(f"Received message: {message}") + # Skip subscription confirmation messages + if message["type"] != "message": + continue + + # Process the message data + try: + line_str = message["data"].decode() + message_data = json.loads(line_str) + potential_episode_log = json.loads(message_data.get("last_turn")) + if "messages" in potential_episode_log: + messages = potential_episode_log["messages"] + processed_messages = [] + for i, message in enumerate(messages): + processed_messages.append( + [ + ( + message[0][0], + message[0][1], + SimpleMessage(message=message[0][2]), + ) + ] + ) + yield processed_messages + else: + print(f"oooooook message: {message_data}") + + except (json.JSONDecodeError, KeyError, UnicodeDecodeError): + # Skip messages that aren't valid JSON or have unexpected format + continue + + except asyncio.CancelledError: + # Handle cancellation + raise + finally: + # Clean up Redis connection + await pubsub.unsubscribe(channel) + await pubsub.close() + await redis_client.close() + + # Terminate the process if it's still running + if proc.returncode is None: + proc.terminate() + await proc.wait() + + # Check for errors + if proc.returncode and proc.returncode != 0: + stderr_content = await proc.stderr.read() + raise RuntimeError(f"Dataflow execution failed: {stderr_content.decode()}") diff --git a/sotopia/cli/benchmark/benchmark.py b/sotopia/cli/benchmark/benchmark.py index 5428b5156..9f6e477ae 100644 --- a/sotopia/cli/benchmark/benchmark.py +++ b/sotopia/cli/benchmark/benchmark.py @@ -356,7 +356,6 @@ def _list_all_env_agent_combo_not_in_db( env_profile = EnvironmentProfile.get(env_id) env = ParallelSotopiaEnv( env_profile=env_profile, - model_name=model_names["env"], action_order="round-robin", evaluators=[ RuleBasedTerminatedEvaluator(max_turn_number=20, max_stale_turn=2), diff --git a/sotopia/cli/install/redis-data/dump.rdb b/sotopia/cli/install/redis-data/dump.rdb new file mode 100644 index 0000000000000000000000000000000000000000..a69d20f841145abfc518a49357728da130f5a366 GIT binary patch literal 7547 zcmb_hOOM>f5$23F`(~L&hXqLn*oKW>JIti0FngZ>!oU|WCgg#NaUnpC{qi(iofnguk)MUHjW96(3Envoq@U>N|-m(c%ERvx;;?KfrN28#UL~Z<3j3k zC}G}3W3JRVMw68DUmvIy%CFx0we;Xu6FNaz7)R-GIOEH%4b(cRTh+FA4P=fmuxAMh zqinfRjVL+Z>oLajnb@kv+UdPHP}j^!#9YsHs-NKW2k+f1wO!7D%Fp{ZI&!_QWN6F} zzcEn7mt?En&yIfnDd+Joiy{R~C;qP};_qK~m$v-xn_Z>%!K&oXQJ96%c$CEPRQ&{H z_!veHqF?6ZM?kHEbE6rYyY$H{Oz4Pv6W3>Npw=k$8}4(qG(%GXhh4DGa$M)!!IO|f zE+hhQuLA5Bgmrk^O=+3}+{#6O(h6nWs#{B*Q9`pMq$iYcRo<>HUrw!)v$#^{QigB5 z&*9;!TpFE>O3+S&c$8*w0%IO^4!FnOi-CHS6YE#|O7qoja_ONk1%#4vAOUkfKSFU; z;N**OqpgO+@2OOy*(7d&=2<+-QJRjX;gc{@4}f$iko*ZB*KO5pw$;Vl;5?|bI9#L7 zr^EZhhd-29_5@Ald6*>Ov`eG(_V!k)-kSq%riag!ca;0j-tIqyC#-IO7GUX>57g#B z%|9hT*@InSQ|_X($HK2~4AdH}5iqBBhd;fnW<8-OyMPd7?11L zX%!`xX+Rkzs}zZ?HiZ)jBSDbjXLTMbq+rZBX?3J

@>rde>j>73YPp6K+8uPSnf)+7qhvonV-{UG?1r;lV^YpYYbG$~SjWtq> zONJ=%lQ=1yuCDBr=779a=*BheFEo{>sf#-+UOWDRl|U0DiEXY|IYulKj=Hk2v&_j} zyyz;6RIRu0842FS%}b5YXwuW+aQN|M!{bKX$h~GGw+i~Zgr+zNXS@*Lw*eVqjUqAb zPJ$vR1&+hq-p`IxA^QlSvIcMd;N~{&*I_JXXrymUOUDimQ{l-g>WE|%ghN};5 z3xKz>{Z+`?%JNen^fi&lElBHLfTG?jD%DE8Cn)PyEetHlfLmCg(XifXz>tVN;EAua z*1pz^=p7a&X*Md88HkZpf&{Al399e|{3>G!`xSV|IZmN86km0O?ksE70{2ydMBFCm zN@&8FAw@3-62@!!9B)fR@m%;JR7WopB@1_F^I#IO6!0KDD)tX6(pw|h-p-3&K=rJ#H)9mR)907U&Yvv?k zHdBhB3M?#I4kV1*B8Mto4Cu-%hZ5%AG{{0O6SCv{Q^M3Di(7b@d2v^0bgxtIt|Tg! z)iLyBq7-#-c6+Cz9({2``Ni|jYcD+++szJku|jF5+&wQt!5ymvi4FUUE&;bTxMO83 zV^3)U9m3)kfxR-8u-_=8A!r^#4Ks1iT8}j}#n#G=Unc$irZDl?uUi zT_fNlNb=xw0 zi`fJ**TXtC91H0lCAMaIHlm8Yy3Hb2U#TE-**-CtPpGRg<_4B!V9V1TVtT$F5XZC~ zmr;UD+fv#A5xQ?>hP6!X@||=8F&$G+qXu;h%h!<2bkhN~NZ?tfk9A99j;1T$uZ5Fm z^7)o7@hP%=s$tDD8Pl+5JGvK`8gYG>=oUi=Y1Gsd$qyPWi_m-{WKc>>YMHi4ZQY@S zc^D%WxCU_?3)?o)NPws>y9KZNswRf^_N=&BX!LT+7j2&oGRD zAybhgqU)=x$_5&u76QXC?1812!;tN{y5_intyeIsH&t{FQlyG|lN({mHY4k3H%z!ay0qzgb+9dW|Iycf`yV;yJOls$ literal 0 HcmV?d00001 diff --git a/sotopia/database/evaluation_dimensions.py b/sotopia/database/evaluation_dimensions.py index 64648b395..b09e8f2e4 100644 --- a/sotopia/database/evaluation_dimensions.py +++ b/sotopia/database/evaluation_dimensions.py @@ -2,6 +2,7 @@ from redis_om.model.model import Field from pydantic import create_model, BaseModel, AfterValidator from typing import Type, Callable, Tuple, Annotated, Union, cast, Any +from sotopia.envs import SotopiaDimensions class BaseCustomEvaluationDimension(BaseModel): @@ -143,8 +144,8 @@ def select_existing_dimension_model_by_list_name( Build an evaluation dimension from existing `CustomEvaluationDimensionList` list names. For example, directly use `sotopia` The returned model is a pydantic model that can be used to evaluate the conversation. """ - # if list_name == "sotopia": - # return SotopiaDimensions # TODO see if we could make this work in `experiment_eval.py`. Right now there is a circular import + if list_name == "sotopia": + return SotopiaDimensions dimensions = CustomEvaluationDimensionList.find( CustomEvaluationDimensionList.name == list_name diff --git a/sotopia/envs/__init__.py b/sotopia/envs/__init__.py index fa56ad757..ef01f5bec 100644 --- a/sotopia/envs/__init__.py +++ b/sotopia/envs/__init__.py @@ -1,3 +1,4 @@ from .parallel import ParallelSotopiaEnv +from .evaluators import SotopiaDimensions -__all__ = ["ParallelSotopiaEnv"] +__all__ = ["ParallelSotopiaEnv", "SotopiaDimensions"] diff --git a/sotopia/envs/parallel.py b/sotopia/envs/parallel.py index e0a928d36..66c67ac95 100644 --- a/sotopia/envs/parallel.py +++ b/sotopia/envs/parallel.py @@ -130,7 +130,6 @@ def __init__( ["none", "speak", "non-verbal communication", "action", "leave"] ), action_order: Literal["simultaneous", "round-robin", "random"] = "simultaneous", - model_name: str = "gpt-4o-mini", evaluators: list[Evaluator] = [], terminal_evaluators: list[Evaluator] = [], uuid_str: str | None = None, @@ -145,7 +144,6 @@ def __init__( model_name (str, optional): The name of the language model to use. Defaults to "gpt-3.5-turbo". """ super().__init__() - self.model_name = model_name if background_class is None: self.background_class = ScriptBackground else: diff --git a/sotopia/experimental/__init__.py b/sotopia/experimental/__init__.py index 2f2166320..180ee8ca9 100644 --- a/sotopia/experimental/__init__.py +++ b/sotopia/experimental/__init__.py @@ -1,3 +1,4 @@ from .agents.base_agent import BaseAgent +from .envs.generate_executable import generate_executable -__all__ = ["BaseAgent"] +__all__ = ["BaseAgent", "generate_executable"] diff --git a/sotopia/experimental/agents/datamodels.py b/sotopia/experimental/agents/datamodels.py index a243a52a3..e20fd6378 100644 --- a/sotopia/experimental/agents/datamodels.py +++ b/sotopia/experimental/agents/datamodels.py @@ -31,12 +31,12 @@ class AgentAction(DataModel): def to_natural_language(self) -> str: match self.action_type: case "none": - return "did nothing" + return f"{self.agent_name} did nothing." case "speak": - return f'said: "{self.argument}"' + return f'{self.agent_name} said: "{self.argument}"' case "non-verbal communication": - return f"[{self.action_type}] {self.argument}" + return f'{self.agent_name} {self.action_type}: "{self.argument}"' case "action": - return f"[{self.action_type}] {self.argument}" + return f'{self.agent_name} {self.action_type}: "{self.argument}"' case "leave": - return "left the conversation" + return f"{self.agent_name} left." diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index 9f48c283a..2c773e9a9 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -49,6 +49,7 @@ def __init__( push_to_db: bool = False, use_pk_value: bool = False, evaluate_episode: bool = False, + redis_agent_as_actor: bool = False, ) -> None: print([(channel[0], AgentAction) for channel in evaluator_channels]) super().__init__( @@ -76,15 +77,16 @@ def __init__( self.current_agent_index: int = 0 self.scenario: str = scenario self.agents: list[str] = list(agent_mapping.values()) - self.agents_pk: dict[str, str] = {} - self.agent_models: dict[str, str] = {} self.agents_awake: dict[str, bool] = {name: False for name in self.agents} self.all_agents_awake: asyncio.Event = asyncio.Event() self.evaluator_channels: list[list[str]] = evaluator_channels self.push_to_db: bool = push_to_db self.use_pk_value: bool = use_pk_value - + self.agents_pk: dict[str, str] = {} + self.agent_models: dict[str, str] = {} + self.redis_agent_as_actor: bool = redis_agent_as_actor self.evaluate_episode: bool = evaluate_episode + assert (not self.evaluate_episode) or len( evaluator_channels ) > 0, "if evaluate_episode is True, evaluator_channels should not be empty" @@ -98,6 +100,32 @@ def __init__( "the selected action order is currently not implemented" ) + def remove_redis_as_actor(self) -> None: + # Remove from output_channel_types + if "moderator:redis_agent" in self.output_channel_types: + self.output_channel_types.pop("moderator:redis_agent") + + # Remove from input_channel_types - need to use the correct key + if "redis_agent:moderator" in self.input_channel_types: + self.input_channel_types.pop("redis_agent:moderator") + + # Remove from agents list - check if it exists first + if "redis_agent" in self.agents: + self.agents.remove("redis_agent") + + # Remove from agent_mapping + if "moderator:redis_agent" in self.agent_mapping: + self.agent_mapping.pop("moderator:redis_agent") + + if "redis_agent" in self.agents_pk: + self.agents_pk.pop("redis_agent") + + if "redis_agent" in self.agent_models: + self.agent_models.pop("redis_agent") + + if "redis_agent" in self.agents_awake: + self.agents_awake.pop("redis_agent") + async def __aenter__(self) -> Self: print(f"Starting moderator with scenario: {self.scenario}") asyncio.create_task(self.booting()) @@ -111,15 +139,30 @@ async def __aexit__(self, exc_type: Any, exc_value: Any, traceback: Any) -> None self.task_scheduler.cancel() return await super().__aexit__(exc_type, exc_value, traceback) - async def send(self, observations: Observations) -> None: + async def send(self, output_channel: str, data: str) -> None: + """Send data to a specific output channel.""" + await self.r.publish(output_channel, data) + + async def send_observations(self, observations: Observations) -> None: + """Send observations to all relevant output channels.""" for output_channel, output_channel_type in self.output_channel_types.items(): if output_channel in observations.observations_map: - await self.r.publish( - output_channel, - Message[output_channel_type]( # type:ignore[valid-type] - data=observations.observations_map[output_channel] - ).model_dump_json(), - ) + message_json = Message[output_channel_type]( # type:ignore[valid-type] + data=observations.observations_map[output_channel] + ).model_dump_json() + await self.send(output_channel, message_json) + + async def send_epilog(self, epilog: EpisodeLog, output_channel: str) -> None: + """Send the epilog to other agents""" + message_json = Message[Observation]( + data=Observation( + agent_name="epilog", + last_turn=epilog.model_dump_json(), + turn_number=self.turn_number, + available_actions=self.available_actions, + ) + ).model_dump_json() + await self.send(output_channel, message_json) async def event_handler( self, channel: str, message: Message[AgentAction] @@ -133,16 +176,16 @@ async def event_handler( async def _task_scheduler(self) -> None: await self.all_agents_awake.wait() while not self.shutdown_event.is_set(): - observation = await self.observation_queue.get() - action_or_none = await self.astep(observation) + agent_action = await self.observation_queue.get() + action_or_none = await self.astep(agent_action) if action_or_none is not None: - await self.send(action_or_none) + await self.send_observations(action_or_none) self.observation_queue.task_done() async def booting(self) -> None: print("Booting moderator and waiting for agents...") while not self.all_agents_awake.is_set(): - await self.send( + await self.send_observations( Observations( observations_map={ output_channel: Observation( @@ -165,6 +208,7 @@ async def booting(self) -> None: agent_action = await self.observation_queue.get() if not self.agents_awake[agent_action.agent_name]: self.agents_awake[agent_action.agent_name] = True + print(f"agent_action: {agent_action}") args: dict[str, Any] = json.loads(agent_action.argument) self.agents_pk[agent_action.agent_name] = args["pk"] self.agent_models[agent_action.agent_name] = args["model_name"] @@ -172,6 +216,10 @@ async def booting(self) -> None: self.all_agents_awake.set() print("All agents are now awake and ready") + # TODO: remove this once we have a better way to handle the redis_agent + if not self.redis_agent_as_actor: + self.remove_redis_as_actor() + self.epilog = EpisodeLog( environment=self.scenario, agents=list(self.agents_pk.values()), @@ -182,7 +230,7 @@ async def booting(self) -> None: rewards_prompt="", ) if self.action_order == "round-robin": - await self.send( + await self.send_observations( Observations( observations_map={ output_channel: Observation( @@ -200,14 +248,12 @@ async def booting(self) -> None: self.current_agent_index += 1 async def wrap_up_and_stop(self) -> None: + self.shutdown_event.set() try: await asyncio.sleep(0.1) print("all agents have left, wrap up and stop") - self.shutdown_event.set() # this will disable the task scheduler - if self.evaluate_episode: - epilog = await self.aeval(self.epilog) if self.push_to_db: - epilog.save() + self.epilog.save() except Exception as e: print(f"error in wrap_up_and_stop: {e}") await asyncio.sleep(0.5) @@ -234,18 +280,7 @@ async def aeval(self, epilog: EpisodeLog) -> EpisodeLog: assert len(self.evaluator_channels) == 1, "currently only support one evaluator" for evaluator_channel in self.evaluator_channels: - print(evaluator_channel[1]) - await self.r.publish( - evaluator_channel[1], - Message[Observation]( - data=Observation( - agent_name="moderator", - last_turn=epilog.model_dump_json(), - turn_number=self.turn_number, - available_actions=self.available_actions, - ) - ).model_dump_json(), - ) + await self.send_epilog(epilog, evaluator_channel[1]) print("episode eval started") @@ -261,14 +296,7 @@ async def aeval(self, epilog: EpisodeLog) -> EpisodeLog: return epilog async def astep(self, agent_action: AgentAction) -> Observations | None: - if agent_action.action_type == "leave": - self.agents_awake[agent_action.agent_name] = False - if True not in self.agents_awake.values(): - await self.wrap_up_and_stop() - return None - if agent_action.action_type == "none": - return None - + print(f"agent_action: {agent_action}") # message (sender, receivers (seperated by comma), message content) self.epilog.messages.append( [ @@ -279,6 +307,19 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: ) ] ) + if agent_action.action_type == "leave": + self.agents_awake[agent_action.agent_name] = False + # Skip redis_agent when checking if all agents have left + if True not in self.agents_awake.values(): + if self.evaluate_episode: + self.epilog = await self.aeval(self.epilog) + await self.send_epilog(self.epilog, "moderator:redis_agent") + await self.wrap_up_and_stop() + return None + if agent_action.action_type == "none": + return None + + await self.send_epilog(self.epilog, "moderator:redis_agent") if self.turn_number < self.max_turns: self.turn_number += 1 @@ -286,9 +327,9 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: return Observations( observations_map={ output_channel: Observation( - agent_name="moderator", - last_turn=self.scenario, - turn_number=self.turn_number + 1, + agent_name=agent_name, + last_turn=agent_action.to_natural_language(), + turn_number=self.turn_number, available_actions=["leave"], ) for output_channel, agent_name in self.agent_mapping.items() @@ -296,13 +337,13 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: ) observations_map: dict[str, Observation] = {} - for output_channel, output_channel_type in self.output_channel_types.items(): + for output_channel, _ in self.output_channel_types.items(): agent_name = self.agent_mapping[output_channel] - available_actions: list[ActionType] = ["none"] + available_actions = ["none"] if self.action_order == "round-robin": if agent_name == self.agents[self.current_agent_index]: available_actions = self.available_actions - + print(f"available_actions: {available_actions}") observation = Observation( agent_name=agent_name, last_turn=agent_action.to_natural_language(), @@ -310,5 +351,6 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: available_actions=available_actions, ) observations_map[output_channel] = observation + self.current_agent_index = (self.current_agent_index + 1) % len(self.agents) return Observations(observations_map=observations_map) diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py new file mode 100644 index 000000000..e1355a892 --- /dev/null +++ b/sotopia/experimental/agents/redis_agent.py @@ -0,0 +1,169 @@ +import logging +import json +import asyncio +import sys +from rich.logging import RichHandler +import aiohttp + +from aact import NodeFactory + +from sotopia.experimental.agents.base_agent import BaseAgent +from sotopia.experimental.agents.datamodels import Observation, AgentAction +from typing import Any + + +# Check Python version +if sys.version_info >= (3, 11): + pass +else: + pass + +# Configure logging +FORMAT = "%(asctime)s - %(levelname)s - %(name)s - %(message)s" +logging.basicConfig( + level=logging.WARNING, + format=FORMAT, + datefmt="[%X]", + handlers=[RichHandler()], +) + +logger = logging.getLogger(__name__) + + +@NodeFactory.register("redis_agent") +class RedisAgent(BaseAgent[Observation, AgentAction]): + def __init__( + self, + input_channels: list[str], + output_channel: str, + node_name: str, + other_agent_status: dict[str, bool], + background: dict[str, Any] | None = None, + agent_pk: str = "", + redis_url: str = "redis://localhost:6379/0", + websocket_url: str = "", + pubsub_channel: str = "uuid_of_the_websocket_connection", + websocket_wait_time: float = 5.0, + loop_interval: float = 0.1, + ): + super().__init__( + [(input_channel, Observation) for input_channel in input_channels], + [(output_channel, AgentAction)], + redis_url, + node_name, + ) + self.output_channel = output_channel + self.message_history: list[Observation] = [] + self.agent_profile_pk: str | None = agent_pk + self.background: dict[str, Any] | None = background + self.awake: bool = False + self.websocket_url = websocket_url + self.websocket_session = None + self.websocket = None + self.pubsub_channel = pubsub_channel + self.websocket_task = None + self.last_websocket_message = None + self.websocket_wait_time = websocket_wait_time + self.loop_interval = loop_interval + self.shutdown_event = asyncio.Event() + self.other_agent_status = other_agent_status + # We'll set up the websocket connection in setup_websocket + # which will be called during the first aact call + + async def setup_websocket(self): + """Set up the websocket connection""" + if self.websocket_url and not self.websocket: + try: + self.websocket_session = aiohttp.ClientSession() + self.websocket = await self.websocket_session.ws_connect( + self.websocket_url + ) + self.websocket_task = asyncio.create_task(self.listen_websocket()) + logger.info(f"Connected to websocket at {self.websocket_url}") + except Exception as e: + logger.error(f"Failed to connect to websocket: {e}") + + async def listen_websocket(self): + """Listen for messages from websocket (NOTE: This is mock implementation, to be further developed)""" + while not self.shutdown_event.is_set(): + try: + if self.websocket: + async for msg in self.websocket: + if msg.type == aiohttp.WSMsgType.TEXT: + message = msg.data + logger.info(f"Received message from websocket: {message}") + self.last_websocket_message = message + elif msg.type == aiohttp.WSMsgType.CLOSED: + logger.warning("Websocket connection closed") + break + elif msg.type == aiohttp.WSMsgType.ERROR: + logger.error(f"Websocket error: {msg.data}") + break + except Exception as e: + logger.error(f"Error in websocket listener: {e}") + + # Try to reconnect if connection was lost + if not self.shutdown_event.is_set(): + logger.warning("Websocket connection lost, trying to reconnect...") + try: + if self.websocket_session and self.websocket_session.closed: + self.websocket_session = aiohttp.ClientSession() + self.websocket = await self.websocket_session.ws_connect( + self.websocket_url + ) + logger.info("Reconnected to websocket") + except Exception as e: + logger.error(f"Failed to reconnect to websocket: {e}") + self.websocket = None + await asyncio.sleep(1) # Wait before retrying + + async def publish_observation(self, obs: Observation): + """Publish observation to Redis""" + obs_json = json.dumps(obs.model_dump()) + await self.r.publish(self.pubsub_channel, obs_json) + + async def aact(self, obs: Observation) -> AgentAction | None: + print(f"obs: {obs}") + # Set up websocket on first call if needed + if self.websocket_url and not self.websocket_task: + await self.setup_websocket() + + await self.publish_observation(obs) + # Handle initialization message + if obs.turn_number == -1: + print(f"self.awake: {self.awake}") + if self.awake: + return AgentAction( + agent_name=self.node_name, + output_channel=self.output_channel, + action_type="none", + argument="", + ) + self.awake = True + return AgentAction( + agent_name=self.node_name, + output_channel=self.output_channel, + action_type="none", + argument=json.dumps({"pk": "redis", "model_name": "redis"}), + ) + for agent_name in self.other_agent_status.keys(): + if f"{agent_name} left." in obs.last_turn: + self.other_agent_status[agent_name] = False + if True not in self.other_agent_status.values(): + self.shutdown_event.set() + + # Append to message history + self.message_history.append(obs) + + if self.websocket_url: + """ + TODO: Implement websocket message handling + """ + # Default action if no websocket message is available + return AgentAction( + agent_name=self.node_name, + output_channel=self.output_channel, + action_type="none", + argument="", + ) + return None diff --git a/sotopia/experimental/envs/generate_executable.py b/sotopia/experimental/envs/generate_executable.py new file mode 100644 index 000000000..5df58b1da --- /dev/null +++ b/sotopia/experimental/envs/generate_executable.py @@ -0,0 +1,45 @@ +from jinja2 import Environment, FileSystemLoader +import os +from typing import Any + + +def render_bool( + value: str, +) -> str: # the default jinja2 output of boolean is capitalized, however we want it to be lowercase for toml + return ("true" if value else "false") if isinstance(value, bool) else value + + +def render_dict( + value: dict[str, Any], prefix: str = "" +) -> str: # a function for rendering dict into toml format + if not isinstance(value, dict): + raise ValueError("value must be a dictionary") + output = [] + for key, val in value.items(): + if isinstance(val, dict): + output.append("[{}]".format(f"{prefix}.{key}")) + output.append(render_dict(val, f"{prefix}.{key}")) + elif isinstance(val, list): + for v in val: + if isinstance(v, dict): + output.append("[[{}]]".format(f"{prefix}.{key}")) + output.append(render_dict(v, f"{prefix}.{key}.")) + else: + output.append(f"{key} = {str(v).lower()}") + elif isinstance(val, (str, int, float, bool)): + output.append(f'{key} = "{str(val).lower()}"') + else: + raise ValueError(f"Unsupported type {type(val)}") + return "\n".join(output) + + +def generate_executable(input_params: dict[str, Any], output_file: str): + env = Environment( + loader=FileSystemLoader( + os.path.join(os.path.dirname(os.path.abspath(__file__)), "templates") + ) + ) + env.filters["render_bool"] = render_bool + template = env.get_template("multiagents.jinja2") + with open(output_file, "w") as f: + f.write(template.render(input_params, render_dict=render_dict)) diff --git a/sotopia/experimental/envs/templates/multiagents.jinja2 b/sotopia/experimental/envs/templates/multiagents.jinja2 new file mode 100644 index 000000000..c21135dae --- /dev/null +++ b/sotopia/experimental/envs/templates/multiagents.jinja2 @@ -0,0 +1,81 @@ +redis_url = "redis://localhost:6379/0" +extra_modules = [{% for ins in extra_modules %} + "{{ ins }}",{% endfor %} + "sotopia.experimental.envs.utility_nodes.chat_print_node", + "sotopia.experimental.agents.moderator", + "sotopia.experimental.agents.evaluators", + "sotopia.experimental.agents.redis_agent" +] + + +[[nodes]] +node_name = "moderator" +node_class = "moderator" +[nodes.node_args] +output_channels = [ {% for agent in agents %} + "moderator:{{ agent.name }}"{% if not loop.last %},{% endif %}{% endfor %} +] +input_channels = [{% for agent in agents %} + "{{ agent.name }}:moderator"{% if not loop.last %},{% endif %}{% endfor %} +] +evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] +agent_mapping = { {% for agent in agents %}"moderator:{{ agent.name }}" = "{{agent.name}}"{% if not loop.last %},{% endif %}{% endfor %}} +scenario = "{{scenario}}" +max_turns = {{max_turns}} +push_to_db = {{push_to_db | render_bool }} +evaluate_episode = {{evaluate_episode | render_bool}} +use_pk_value = {{use_pk_value | render_bool}} + +{% for agent in agents if agent.name != "redis_agent" %} +[[nodes]] +node_name = "{{agent.name}}" +node_class = "{{agent_node}}" + +[nodes.node_args] +input_channels = ["moderator:{{agent.name}}"] +output_channel = "{{agent.name}}:moderator" +goal = "{{agent.goal}}" +model_name = "{{agent.model_name if agent.model_name is defined else default_model}}" +{% if agent.agent_pk is defined%} +agent_pk = "{{agent.agent_pk}}" +{% else %} +agent_name = "{{agent.name}}" +[nodes.node_args.background] +{{render_dict(agent.background,"nodes.node_args.background")}} +{% endif %} + +{% endfor %} + +[[nodes]] +node_name = "chat_print" +node_class = "chat_print" + +[nodes.node_args.print_channel_types]{% for agent in agents %} +"{{agent.name}}:moderator" = "agent_action"{% endfor %} + +[nodes.node_args] +env_agents = [{% for agent in agents %} + "{{ agent.name }}"{% if not loop.last %},{% endif %}{% endfor %} +] + +[[nodes]] +node_name = "evaluator" +node_class = "evaluator" + +[nodes.node_args] +input_channels = ["moderator:evaluator"] +output_channels = ["evaluator:moderator"] +model_name = "{{evaluator_model}}" + +[[nodes]] +node_name = "redis_agent" +node_class = "redis_agent" + +[nodes.node_args] +input_channels = ["moderator:redis_agent"] +output_channel = "redis_agent:moderator" +pubsub_channel = "{{connection_id}}" + +[nodes.node_args.other_agent_status] +{% for agent in agents %} +"{{ agent.name }}" = true{% if not loop.last %}{% endif %}{% endfor %} diff --git a/sotopia/experimental/envs/utility_nodes/chat_print_node.py b/sotopia/experimental/envs/utility_nodes/chat_print_node.py new file mode 100644 index 000000000..84fbe11e9 --- /dev/null +++ b/sotopia/experimental/envs/utility_nodes/chat_print_node.py @@ -0,0 +1,151 @@ +import sys +import json +import logging +from typing import Dict, Any, Literal + +from rich.console import Console +from rich.syntax import Syntax +from rich.panel import Panel +from rich.text import Text as RichText +from rich.align import Align +from rich.logging import RichHandler + +from aact import NodeFactory +from aact.nodes import PrintNode + +console = Console() + +if sys.version_info >= (3, 11): + pass +else: + pass + +FORMAT = "%(asctime)s - %(levelname)s - %(name)s - %(message)s" +logging.basicConfig( + level=logging.WARNING, + format=FORMAT, + datefmt="[%X]", + handlers=[RichHandler()], +) + + +@NodeFactory.register("chat_print") +class ChatPrint(PrintNode): + def __init__(self, env_agents: list[str], *args: Any, **kwargs: Any): + super().__init__(*args, **kwargs) + self.env_agents: list[str] = env_agents + + def convert_to_sentence(self, data: Dict[str, Any], agent_name: str) -> None: + if "action_type" in data: + action = data["action_type"] + + # Generate a color based on the agent's position in the env_agents list + # This ensures each agent gets a unique color + colors = ["green", "blue", "red", "magenta", "yellow", "cyan"] + agent_index = ( + self.env_agents.index(agent_name) + if agent_name in self.env_agents + else -1 + ) + panel_style = ( + colors[agent_index % len(colors)] if agent_index >= 0 else "white" + ) + + # Always use left alignment for all panels + alignment: Literal["left"] = "left" + + if action == "write": + try: + path = data["path"] + content = data["argument"] + syntax = self.determine_syntax(path, content) + combined_panel = Panel( + syntax, + title=f"{agent_name} writes to {path}", + expand=False, + border_style=panel_style, + title_align=alignment, + ) + aligned_panel = Align(combined_panel, align=alignment) + console.print(aligned_panel) + except Exception as e: + console.print( + Panel( + RichText( + f"Error processing write action: {e}", + style="bold red", + justify="center", + ), + title="Error", + expand=False, + border_style="red", + title_align="center", + ) + ) + elif action == "none": + return + else: + # Generic handling for all other action types + title = f"{agent_name} - {action}" + content = data.get("argument", "") + + panel_content = RichText(content, style="bold", justify="center") + panel = Panel( + panel_content, + title=title, + expand=False, + border_style=panel_style, + title_align=alignment, + ) + aligned_panel = Align(panel, align=alignment) + console.print(aligned_panel) + else: + console.print( + Panel( + RichText("Invalid data format", style="bold red", justify="center"), + title="Error", + expand=False, + border_style="red", + title_align="center", + ) + ) + + def determine_syntax(self, path: str, content: str) -> Syntax: + """Determine the appropriate syntax highlighting based on the file extension.""" + if path.endswith(".html"): + return Syntax(content, "html", theme="monokai", line_numbers=True) + elif path.endswith(".py"): + return Syntax( + content, + "python", + theme="monokai", + line_numbers=True, + ) + elif path.endswith(".js"): + return Syntax( + content, + "javascript", + theme="monokai", + line_numbers=True, + ) + elif path.endswith(".css"): + return Syntax(content, "css", theme="monokai", line_numbers=True) + else: + return Syntax(content, "text", theme="monokai", line_numbers=True) + + async def write_to_screen(self) -> None: + while self.output: + data_entry = await self.write_queue.get() + + data = json.loads(data_entry.model_dump_json()) + + if "data" in data and "agent_name" in data["data"]: + agent_name = data["data"]["agent_name"] + try: + self.convert_to_sentence(data["data"], agent_name) + except Exception as e: + print(f"Error in convert_to_sentence: {e}") + else: + print("Invalid data structure:", data) + + await self.output.flush() diff --git a/sotopia/server.py b/sotopia/server.py index 51f06e041..15d0204c2 100644 --- a/sotopia/server.py +++ b/sotopia/server.py @@ -211,12 +211,6 @@ async def generate_messages() -> ( rewards=[info[agent_name]["complete_rating"] for agent_name in env.agents], rewards_prompt=info["rewards_prompt"]["overall_prompt"], ) - rich.print(epilog.rewards_prompt) - agent_profiles, conversation = epilog.render_for_humans() - for agent_profile in agent_profiles: - rich.print(agent_profile) - for message in conversation: - rich.print(message) if streaming: # yield the rewards and reasonings diff --git a/tests/integration/test_benchmark.py b/tests/integration/test_benchmark.py index 6aa86c6cc..64ace55cf 100644 --- a/tests/integration/test_benchmark.py +++ b/tests/integration/test_benchmark.py @@ -140,7 +140,6 @@ def compose_env_agent_combo( ) -> EnvAgentCombo[Observation, AgentAction]: env = ParallelSotopiaEnv( env_profile=env_profile, - model_name="gpt-4o-mini", evaluators=[RuleBasedTerminatedEvaluator(max_turn_number=1, max_stale_turn=2)], terminal_evaluators=[ EpisodeLLMEvaluator( diff --git a/uv.lock b/uv.lock index 44f1c5edc..5752514cd 100644 --- a/uv.lock +++ b/uv.lock @@ -3133,7 +3133,6 @@ api = [ { name = "modal" }, { name = "streamlit" }, { name = "uvicorn" }, - { name = "websockets" }, ] cohere = [ { name = "cohere" }, @@ -3184,7 +3183,7 @@ requires-dist = [ { name = "google-generativeai", marker = "extra == 'google-generativeai'" }, { name = "groq", marker = "extra == 'groq'" }, { name = "hiredis", specifier = ">=3.0.0" }, - { name = "json-repair", specifier = ">=0.35.0,<0.36.0" }, + { name = "json-repair", specifier = ">=0.35.0,<0.40.0" }, { name = "litellm", specifier = ">=0.1.1" }, { name = "lxml", specifier = ">=4.9.3,<6.0.0" }, { name = "modal", marker = "extra == 'api'" }, @@ -3199,11 +3198,10 @@ requires-dist = [ { name = "rich", specifier = ">=13.6.0,<14.0.0" }, { name = "scipy", marker = "extra == 'examples'" }, { name = "streamlit", marker = "extra == 'api'" }, - { name = "together", specifier = ">=0.2.4,<1.4.0" }, + { name = "together", specifier = ">=0.2.4,<1.5.0" }, { name = "torch", marker = "extra == 'examples'" }, { name = "transformers", marker = "extra == 'examples'" }, { name = "uvicorn", marker = "extra == 'api'" }, - { name = "websockets", marker = "extra == 'api'" }, ] [package.metadata.requires-dev] From 22a622613eb2d617d631878636d50e4a2c05cf29 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Tue, 11 Mar 2025 22:48:26 -0400 Subject: [PATCH 02/18] add server --- docs/pages/experimental/index.mdx | 18 ++ .../sotopia_original_replica/simulate.py | 80 +++++++++ .../websocket_simulation_client.py | 42 ++++- sotopia/api/websocket_utils.py | 101 ++++++++---- sotopia/experimental/agents/moderator.py | 2 - sotopia/experimental/agents/redis_agent.py | 1 - sotopia/experimental/envs/__init__.py | 3 + .../experimental/envs/generate_executable.py | 5 +- sotopia/experimental/server.py | 155 ++++++++++++++++++ 9 files changed, 364 insertions(+), 43 deletions(-) create mode 100644 examples/experimental/sotopia_original_replica/simulate.py create mode 100644 sotopia/experimental/envs/__init__.py create mode 100644 sotopia/experimental/server.py diff --git a/docs/pages/experimental/index.mdx b/docs/pages/experimental/index.mdx index e8094912d..1a6a82089 100644 --- a/docs/pages/experimental/index.mdx +++ b/docs/pages/experimental/index.mdx @@ -4,6 +4,24 @@ import { Callout } from "nextra/components" This part of the documentation is for experimental features. The APIs and functionalities are subject to frequent change. + +Sotopia is transitioning to the AACT (an actor model library; strong typing with validation) engine for its experimental features. Essentially, for each agent, we have an individual process that is running the agent's logic. Why we are not using asyncio directly? + +* asyncio requires non-blocking implementation of the agent's logic. e.g. Imagine two agents are chatting with each other. If we use asyncio directly, we need to wait for the first agent to respond before the second agent can respond. This is not a natural conversation flow. + +What if we have 1000 agents? + +Imagine another case, in robotics, + +Key benefits of AACT include: +- **Asynchronous communication** between agents, allowing for more natural conversation flows +- **Flexible node-based architecture** that makes it easy to define custom agent behaviors and communication patterns +- **Redis-based message passing** for reliable and scalable agent interactions +- **Dataflow configuration** using simple TOML files to define your agent ecosystem + +To try AACT-based features, check out the [Agents](/experimental/agents) documentation. + + The experimental APIs of Sotopia are intended for quickly prototyping and experimenting with new functionalities, without breaking the existing stable APIs. But we will still maintain the quality of the code for these features. Feel free to raise an issue if you find any bugs or wants more features in the experimental APIs. diff --git a/examples/experimental/sotopia_original_replica/simulate.py b/examples/experimental/sotopia_original_replica/simulate.py new file mode 100644 index 000000000..935ce2f17 --- /dev/null +++ b/examples/experimental/sotopia_original_replica/simulate.py @@ -0,0 +1,80 @@ +import asyncio +import argparse +import json +import os +from typing import Dict, Any, Optional +from sotopia.experimental.server import arun_one_episode + + +async def simulate_from_config( + episode_config: Dict[str, Any], save_path: Optional[str] = None +) -> None: + # Generate a unique connection ID + connection_id = "" # Empty string for non-streaming mode + + # Call the updated arun_one_episode with the episode_config + result = None + async for message in arun_one_episode(episode_config, connection_id): + # Store the last message as the result + result = message + + # If save_path is provided, save the result to a file + if save_path and result: + os.makedirs(os.path.dirname(save_path), exist_ok=True) + with open(save_path, "w") as f: + json.dump(result, f, indent=2) + + +def main(): + parser = argparse.ArgumentParser(description="Run a Sotopia simulation") + parser.add_argument("--config", type=str, help="Path to config file") + parser.add_argument("--save_path", type=str, help="Path to save the result") + args = parser.parse_args() + + if args.config: + with open(args.config, "r") as f: + episode_config = json.load(f) + else: + # Default configuration if no config file is provided + agent_ids = ["jack", "jill", "john"] + # Create a default scenario + scenario = "Just chat (finish the conversation in 2 turns)" + agent_goals = ["Just chat"] * len(agent_ids) + + # Create the episode config directly + episode_config = { + "redis_url": "redis://localhost:6379/0", + "extra_modules": [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + "sotopia.experimental.agents.redis_agent", + ], + "agent_node": "llm_agent", + "default_model": "gpt-4o-mini", + "evaluator_model": "gpt-4o", + "use_pk_value": False, + "push_to_db": False, + "evaluate_episode": False, + "max_turns": 20, + "scenario": scenario, + "agents": [ + { + "name": agent_id, + "goal": agent_goals[i], + "model_name": "gpt-4o-mini", + "background": { + "first_name": agent_id, + "last_name": agent_id, + "model": "gpt-4o-mini", + }, + } + for i, agent_id in enumerate(agent_ids) + ], + } + if not args.save_path: + args.save_path = "./data/sotopia_original_replica_test.json" + asyncio.run(simulate_from_config(episode_config, args.save_path)) + print(f"Simulation completed. Result saved to {args.save_path}") + + +if __name__ == "__main__": + main() diff --git a/examples/experimental/sotopia_original_replica/websocket_simulation_client.py b/examples/experimental/sotopia_original_replica/websocket_simulation_client.py index 78f0ae7ad..768f3ee45 100644 --- a/examples/experimental/sotopia_original_replica/websocket_simulation_client.py +++ b/examples/experimental/sotopia_original_replica/websocket_simulation_client.py @@ -2,12 +2,17 @@ import json import logging from typing import List, Optional, Any - +from rich.console import Console +from rich.logging import RichHandler +import rich +from rich import print import aiohttp # Setup logging logging.basicConfig( - level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s" + level=logging.INFO, + format="%(asctime)s - %(name)s - %(levelname)s - %(message)s", + handlers=[RichHandler(console=Console())], ) logger = logging.getLogger("sotopia-websocket-client") @@ -119,7 +124,38 @@ async def run_simulation( msg_type = data.get("type") if msg_type == WSMessageType.SERVER_MSG: - logger.info(f"Server message: {data.get('data', {})}") + server_data = data.get("data", {}) + + # Rich print the last messages if available + if ( + server_data.get("type") == "messages" + and "messages" in server_data + ): + messages_data = server_data["messages"] + if ( + "messages" in messages_data + and messages_data["messages"] + ): + last_message = messages_data["messages"][ + -1 + ] # Get the last 3 messages + if last_message and len(last_message) > 0: + sender = last_message[0][0] + recipient = last_message[0][1] + content = last_message[0][2] + # Format the message with rich styling + message_content = ( + content.get("message", "") + if isinstance(content, dict) + else content + ) + panel = rich.panel.Panel( + message_content, + title=f"[bold blue]{sender}[/bold blue] → [bold green]{recipient}[/bold green]", + border_style="cyan", + padding=(1, 2), + ) + print(panel) elif ( msg_type == WSMessageType.END_SIM or msg_type == WSMessageType.FINISH_SIM diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index 2505eafa2..2b15a2c0a 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -262,6 +262,7 @@ async def arun_sotopia_original_replica( agent_models: List[str], evaluator_model: str, evaluation_dimension_list_name: str, + max_turns: int = 20, push_to_db: bool = True, streaming: bool = False, connection_id: str = "", @@ -298,7 +299,7 @@ async def arun_sotopia_original_replica( "use_pk_value": False, "push_to_db": push_to_db, "evaluate_episode": False, - "max_turns": 3, + "max_turns": max_turns, "scenario": env.scenario, "agents": [ { @@ -318,7 +319,10 @@ async def arun_sotopia_original_replica( ], "connection_id": connection_id, } - generate_executable(config_data, output_toml_path) + config_data_str = generate_executable(config_data) + # save the config_data_str to the output_toml_path + with open(output_toml_path, "w") as f: + f.write(config_data_str) # Run the dataflow run_cmd = f"aact run-dataflow {output_toml_path}" # Start the process and capture stdout and stderr for debugging @@ -342,8 +346,8 @@ async def log_stderr(): print(f"Dataflow error: {line.decode().strip()}") # Start the logging tasks - asyncio.create_task(log_stdout()) - asyncio.create_task(log_stderr()) + stdout_task = asyncio.create_task(log_stdout()) + stderr_task = asyncio.create_task(log_stderr()) # Connect to Redis using the async client redis_client = redis.asyncio.Redis(host="localhost", port=6379, db=0) @@ -352,41 +356,58 @@ async def log_stderr(): print(f"Subscribing to channel: {channel}") await pubsub.subscribe(channel) - # Parse output and yield messages using Redis pubsub + # Create a task to monitor the process completion + process_done = asyncio.Event() - try: - # Process messages from pubsub using async iterator - async for message in pubsub.listen(): - print("--------------------------------") - print(f"Received message: {message}") - # Skip subscription confirmation messages - if message["type"] != "message": - continue + async def monitor_process(): + await proc.wait() + process_done.set() + + monitor_task = asyncio.create_task(monitor_process()) - # Process the message data + try: + # Process messages from pubsub using async iterator with timeout + while not process_done.is_set(): + # Use wait_for with a timeout to periodically check if process is done try: - line_str = message["data"].decode() - message_data = json.loads(line_str) - potential_episode_log = json.loads(message_data.get("last_turn")) - if "messages" in potential_episode_log: - messages = potential_episode_log["messages"] - processed_messages = [] - for i, message in enumerate(messages): - processed_messages.append( - [ - ( - message[0][0], - message[0][1], - SimpleMessage(message=message[0][2]), - ) - ] + message = await asyncio.wait_for( + pubsub.get_message(ignore_subscribe_messages=True), timeout=0.1 + ) + if message is None: + # No message received within timeout, check if process is done + continue + # Process the message data + try: + line_str = message["data"].decode() + message_data = json.loads(line_str) + potential_episode_log = json.loads(message_data.get("last_turn")) + if "messages" in potential_episode_log: + messages = potential_episode_log["messages"] + processed_messages = [] + for i, message in enumerate(messages): + processed_messages.append( + [ + ( + message[0][0], + message[0][1], + SimpleMessage(message=message[0][2]), + ) + ] + ) + yield processed_messages + else: + # Handle other message types that don't have the expected format + # Log the message for debugging but don't yield it + print( + f"Received message with unexpected format: {message_data}" ) - yield processed_messages - else: - print(f"oooooook message: {message_data}") - except (json.JSONDecodeError, KeyError, UnicodeDecodeError): - # Skip messages that aren't valid JSON or have unexpected format + except (json.JSONDecodeError, KeyError, UnicodeDecodeError): + # Skip messages that aren't valid JSON or have unexpected format + continue + + except asyncio.TimeoutError: + # Timeout occurred, loop will continue and check if process is done continue except asyncio.CancelledError: @@ -398,6 +419,18 @@ async def log_stderr(): await pubsub.close() await redis_client.close() + # Cancel monitoring tasks + monitor_task.cancel() + stdout_task.cancel() + stderr_task.cancel() + + try: + await asyncio.gather( + monitor_task, stdout_task, stderr_task, return_exceptions=True + ) + except asyncio.CancelledError: + pass + # Terminate the process if it's still running if proc.returncode is None: proc.terminate() diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index 2c773e9a9..309a97bff 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -208,7 +208,6 @@ async def booting(self) -> None: agent_action = await self.observation_queue.get() if not self.agents_awake[agent_action.agent_name]: self.agents_awake[agent_action.agent_name] = True - print(f"agent_action: {agent_action}") args: dict[str, Any] = json.loads(agent_action.argument) self.agents_pk[agent_action.agent_name] = args["pk"] self.agent_models[agent_action.agent_name] = args["model_name"] @@ -296,7 +295,6 @@ async def aeval(self, epilog: EpisodeLog) -> EpisodeLog: return epilog async def astep(self, agent_action: AgentAction) -> Observations | None: - print(f"agent_action: {agent_action}") # message (sender, receivers (seperated by comma), message content) self.epilog.messages.append( [ diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index e1355a892..1057b7175 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -123,7 +123,6 @@ async def publish_observation(self, obs: Observation): await self.r.publish(self.pubsub_channel, obs_json) async def aact(self, obs: Observation) -> AgentAction | None: - print(f"obs: {obs}") # Set up websocket on first call if needed if self.websocket_url and not self.websocket_task: await self.setup_websocket() diff --git a/sotopia/experimental/envs/__init__.py b/sotopia/experimental/envs/__init__.py new file mode 100644 index 000000000..c69d7df30 --- /dev/null +++ b/sotopia/experimental/envs/__init__.py @@ -0,0 +1,3 @@ +from .generate_executable import generate_executable + +__all__ = ["generate_executable"] diff --git a/sotopia/experimental/envs/generate_executable.py b/sotopia/experimental/envs/generate_executable.py index 5df58b1da..e8c171518 100644 --- a/sotopia/experimental/envs/generate_executable.py +++ b/sotopia/experimental/envs/generate_executable.py @@ -33,7 +33,7 @@ def render_dict( return "\n".join(output) -def generate_executable(input_params: dict[str, Any], output_file: str): +def generate_executable(input_params: dict[str, Any]) -> str: env = Environment( loader=FileSystemLoader( os.path.join(os.path.dirname(os.path.abspath(__file__)), "templates") @@ -41,5 +41,4 @@ def generate_executable(input_params: dict[str, Any], output_file: str): ) env.filters["render_bool"] = render_bool template = env.get_template("multiagents.jinja2") - with open(output_file, "w") as f: - f.write(template.render(input_params, render_dict=render_dict)) + return template.render(input_params, render_dict=render_dict) diff --git a/sotopia/experimental/server.py b/sotopia/experimental/server.py new file mode 100644 index 000000000..415ec6de8 --- /dev/null +++ b/sotopia/experimental/server.py @@ -0,0 +1,155 @@ +from typing import AsyncGenerator, Any +import asyncio +import redis +import json +from sotopia.experimental.envs import generate_executable +import uuid +import logging +from rich import print + +logger = logging.getLogger(__name__) + + +async def arun_one_episode( + episode_config: dict[str, Any], + connection_id: str = str(uuid.uuid4()), # the connection id for the websocket +) -> AsyncGenerator[dict[str, Any], None]: + """ + Run one episode of simulation and yield messages as they are generated. + + Returns: + AsyncGenerator yielding simulation messages + """ + episode_config["connection_id"] = connection_id + episode_config["agents"] += [ + { + "name": "redis_agent", + } + ] + # Generate the executable config and save it to a temporary file + executable_config_content = generate_executable(episode_config) + + # Create a unique temporary filename + temp_filename = f"temp_config_{connection_id}.toml" + + # Write the config to the temporary file + with open(temp_filename, "w") as f: + f.write(executable_config_content) + + executable_config = temp_filename + + # Connect to Redis using the async client + redis_url = episode_config.get("redis_url", "redis://localhost:6379/0") + redis_client = redis.asyncio.from_url(redis_url) + pubsub = redis_client.pubsub() + channel = f"{connection_id}" + logger.info(f"Subscribing to channel: {channel}") + await pubsub.subscribe(channel) + + # Run the dataflow + run_cmd = f"aact run-dataflow {executable_config}" + # Start the process and capture stdout and stderr for debugging + proc = await asyncio.create_subprocess_shell( + run_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE + ) + + # Create tasks to read and log stdout and stderr without blocking + async def log_stdout(): + while True: + line = await proc.stdout.readline() + if not line: + break + print(f"{line.decode().strip()}") + + async def log_stderr(): + while True: + line = await proc.stderr.readline() + if not line: + break + print(f"{line.decode().strip()}") + + # Start the logging tasks + stdout_task = asyncio.create_task(log_stdout()) + stderr_task = asyncio.create_task(log_stderr()) + + # Connect to Redis using the async client + redis_client = redis.asyncio.Redis(host="localhost", port=6379, db=0) + pubsub = redis_client.pubsub() + channel = f"{connection_id}" if connection_id else "sotopia:simulation" + print(f"Subscribing to channel: {channel}") + await pubsub.subscribe(channel) + + # Create a task to monitor the process completion + process_done = asyncio.Event() + + async def monitor_process(): + await proc.wait() + process_done.set() + + monitor_task = asyncio.create_task(monitor_process()) + + try: + # Process Redis messages until the dataflow process is done + while not process_done.is_set(): + # Use wait_for with a timeout to periodically check if process is done + try: + message = await asyncio.wait_for( + pubsub.get_message(ignore_subscribe_messages=True), timeout=0.1 + ) + if message is None: + # No message received within timeout, check if process is done + continue + + # Process the message data + try: + line_str = message["data"].decode() + message_data = json.loads(line_str) + potential_episode_log = json.loads( + message_data.get("last_turn", "{}") + ) + if "messages" in potential_episode_log: + yield potential_episode_log + else: + # Handle other message types that don't have the expected format + logger.debug( + f"Received message with unexpected format: {message_data}" + ) + + except (json.JSONDecodeError, KeyError, UnicodeDecodeError) as e: + logger.error(f"Error processing message: {e}") + continue + + except asyncio.TimeoutError: + # Timeout occurred, loop will continue and check if process is done + continue + + except asyncio.CancelledError: + # Handle cancellation + raise + finally: + # Clean up Redis connection + await pubsub.unsubscribe(channel) + await pubsub.close() + await redis_client.close() + + # Cancel monitoring tasks + monitor_task.cancel() + stdout_task.cancel() + stderr_task.cancel() + + try: + await asyncio.gather( + monitor_task, stdout_task, stderr_task, return_exceptions=True + ) + except asyncio.CancelledError: + pass + + # Terminate the process if it's still running + if proc.returncode is None: + proc.terminate() + await proc.wait() + + # Check for errors + if proc.returncode and proc.returncode != 0: + stderr_content = await proc.stderr.read() + raise RuntimeError(f"Dataflow execution failed: {stderr_content.decode()}") From c97685d829515b66496ff0d8f25a093ab56a0a3a Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Wed, 12 Mar 2025 13:01:19 -0400 Subject: [PATCH 03/18] further refactor the code --- .../generate_executable.py | 62 ------ .../sotopia_original_replica/origin.toml | 65 ------- .../sotopia_original_replica/output.toml | 94 --------- .../sotopia_original_replica/raw_config.json | 30 --- .../sotopia_original_replica/readme.md | 15 +- .../templates/multiagents.jinja2 | 67 ------- .../websocket_simulation_client.py | 93 +++------ sotopia/api/fastapi_server.py | 3 + sotopia/api/websocket_utils.py | 178 +++--------------- sotopia/experimental/server.py | 27 ++- 10 files changed, 87 insertions(+), 547 deletions(-) delete mode 100644 examples/experimental/sotopia_original_replica/generate_executable.py delete mode 100644 examples/experimental/sotopia_original_replica/origin.toml delete mode 100644 examples/experimental/sotopia_original_replica/output.toml delete mode 100644 examples/experimental/sotopia_original_replica/raw_config.json delete mode 100644 examples/experimental/sotopia_original_replica/templates/multiagents.jinja2 diff --git a/examples/experimental/sotopia_original_replica/generate_executable.py b/examples/experimental/sotopia_original_replica/generate_executable.py deleted file mode 100644 index d4e3efd3b..000000000 --- a/examples/experimental/sotopia_original_replica/generate_executable.py +++ /dev/null @@ -1,62 +0,0 @@ -from jinja2 import Environment, FileSystemLoader -import json -from argparse import Namespace -from argparse import ArgumentParser -import os -from typing import Any - - -def parse_args() -> Namespace: - parser = ArgumentParser() - parser.add_argument("--input", type=str) - parser.add_argument("--output", type=str, default="output.toml") - return parser.parse_args() - - -def render_bool( - value: str, -) -> str: # the default jinja2 output of boolean is capitalized, however we want it to be lowercase for toml - return ("true" if value else "false") if isinstance(value, bool) else value - - -def render_dict( - value: dict[str, Any], prefix: str = "" -) -> str: # a function for rendering dict into toml format - if not isinstance(value, dict): - raise ValueError("value must be a dictionary") - output = [] - for key, val in value.items(): - if isinstance(val, dict): - output.append("[{}]".format(f"{prefix}.{key}")) - output.append(render_dict(val, f"{prefix}.{key}")) - elif isinstance(val, list): - for v in val: - if isinstance(v, dict): - output.append("[[{}]]".format(f"{prefix}.{key}")) - output.append(render_dict(v, f"{prefix}.{key}.")) - else: - output.append(f"{key} = {str(v).lower()}") - elif isinstance(val, (str, int, float, bool)): - output.append(f'{key} = "{str(val).lower()}"') - else: - raise ValueError(f"Unsupported type {type(val)}") - return "\n".join(output) - - -if __name__ == "__main__": - args = parse_args() - # join with absolute current path - env = Environment( - loader=FileSystemLoader( - os.path.join(os.path.dirname(os.path.abspath(__file__)), "templates") - ) - ) - env.filters["render_bool"] = render_bool - template = env.get_template("multiagents.jinja2") - - # Load JSON instead of TOML - with open(args.input, "r") as f: - input_data = json.load(f) - - with open(args.output, "w") as f: - f.write(template.render(input_data, render_dict=render_dict)) diff --git a/examples/experimental/sotopia_original_replica/origin.toml b/examples/experimental/sotopia_original_replica/origin.toml deleted file mode 100644 index b81d7d586..000000000 --- a/examples/experimental/sotopia_original_replica/origin.toml +++ /dev/null @@ -1,65 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = ["examples.experimental.sotopia_original_replica.llm_agent_sotopia", "examples.experimental.nodes.chat_print_node", "sotopia.experimental.agents.moderator","sotopia.experimental.agents.evaluators"] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" - -[nodes.node_args] -output_channels = ["moderator:Jane", "moderator:Jack"] -input_channels = ["Jane:moderator", "Jack:moderator"] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = {"moderator:Jane" = "Jane", "moderator:Jack" = "Jack"} -scenario = "Two friends are sitting in a cafe and catching up with each other's lives." -max_turns = 3 -push_to_db = false -evaluate_episode = true -use_pk_value = false - -[[nodes]] -node_name = "Jack" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Jack"] -output_channel = "Jack:moderator" -goal = "Your goal is to borrow 5000 dollars from Jane." -model_name = "gpt-4o-mini" -agent_name = "Jack" -background = {"occupation" = "construction worker"} -agent_pk = "" - - -[[nodes]] -node_name = "Jane" -node_class = "llm_agent" - -[nodes.node_args] -output_channel = "Jane:moderator" -input_channels = ["moderator:Jane"] -goal = "Your goal is to help Jack however, you are in a finicial crisis yourself and can only afford to give him 500 dollars." -model_name = "gpt-4o-mini" -agent_name = "Jane" -background = {"occupation" = "gardener"} -agent_pk = "" - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args.print_channel_types] -"Jane:moderator" = "agent_action" -"Jack:moderator" = "agent_action" - -[nodes.node_args] -env_agents = ["Jack", "Jane"] - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "gpt-4o-mini" diff --git a/examples/experimental/sotopia_original_replica/output.toml b/examples/experimental/sotopia_original_replica/output.toml deleted file mode 100644 index ccca0529b..000000000 --- a/examples/experimental/sotopia_original_replica/output.toml +++ /dev/null @@ -1,94 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = [ - "examples.experimental.sotopia_original_replica.llm_agent_sotopia", - "examples.experimental.nodes.chat_print_node", - "sotopia.experimental.agents.moderator", - "sotopia.experimental.agents.evaluators" -] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" -[nodes.node_args] -output_channels = [ - "moderator:Jack", - "moderator:Jane" -] -input_channels = [ - "Jack:moderator", - "Jane:moderator" -] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = { "moderator:Jack" = "Jack","moderator:Jane" = "Jane"} -scenario = "Two friends are sitting in a cafe and catching up with each other's lives." -max_turns = 3 -push_to_db = false -evaluate_episode = false -use_pk_value = false - - -[[nodes]] -node_name = "Jack" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Jack"] -output_channel = "Jack:moderator" -goal = "Your goal is to borrow 5000 dollars from Jane." -model_name = "gpt-3.5-turbo" - -agent_name = "Jack" -[nodes.node_args.background] -occupation = "construction worker" - - - -[[nodes]] -node_name = "Jane" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Jane"] -output_channel = "Jane:moderator" -goal = "Your goal is to help Jack however, you are in a finicial crisis yourself and can only afford to give him 500 dollars." -model_name = "gpt-4" - -agent_name = "Jane" -[nodes.node_args.background] -occupation = "gardener" - - - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args.print_channel_types] -"Jack:moderator" = "agent_action" -"Jane:moderator" = "agent_action" - -[nodes.node_args] -env_agents = [ - "Jack", - "Jane" -] - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "gpt-4" - - -[[nodes]] -node_name = "redis_agent" -node_class = "redis_agent" - -[nodes.node_args] -input_channels = ["moderator:redis_agent"] -output_channels = ["redis_agent:moderator"] -control_channel = ["redis_agent:websocket_uuid"] diff --git a/examples/experimental/sotopia_original_replica/raw_config.json b/examples/experimental/sotopia_original_replica/raw_config.json deleted file mode 100644 index 8ba60f6a1..000000000 --- a/examples/experimental/sotopia_original_replica/raw_config.json +++ /dev/null @@ -1,30 +0,0 @@ -{ - "redis_url": "redis://localhost:6379/0", - "extra_modules": ["examples.experimental.sotopia_original_replica.llm_agent_sotopia"], - "agent_node": "llm_agent", - "default_model": "gpt-4o-mini", - "evaluator_model": "gpt-4", - "use_pk_value": false, - "push_to_db": false, - "evaluate_episode": false, - "max_turns": 3, - "scenario": "Two friends are sitting in a cafe and catching up with each other's lives.", - "agents": [ - { - "name": "Jack", - "goal": "Your goal is to borrow 5000 dollars from Jane.", - "model_name": "gpt-3.5-turbo", - "background": { - "occupation": "construction worker" - } - }, - { - "name": "Jane", - "goal": "Your goal is to help Jack however, you are in a finicial crisis yourself and can only afford to give him 500 dollars.", - "model_name": "gpt-4", - "background": { - "occupation": "gardener" - } - } - ] -} diff --git a/examples/experimental/sotopia_original_replica/readme.md b/examples/experimental/sotopia_original_replica/readme.md index 26f70a6de..d3143bb1e 100644 --- a/examples/experimental/sotopia_original_replica/readme.md +++ b/examples/experimental/sotopia_original_replica/readme.md @@ -1,21 +1,18 @@ To run this example, please use aact to launch. ```bash -aact run-dataflow examples/experimental/sotopia_original_replica/origin.toml +uv run python examples/experimental/sotopia_original_replica/simulate.py ``` -To view the flow of the information, please run: +this example can be also run in a web interface by running: ```bash -aact draw-dataflow examples/experimental/sotopia_original_replica/origin.toml --svg-path examples/experimental/sotopia_original_replica/origin.svg +uv run fastapi run sotopia/api/fastapi_server.py --port 8080 ``` - -To quickly generate your own simluation config, format your input like in the `raw_config.toml` file -to generate an executable file, run: +Then in another terminal, run: ```bash -cd examples/experimental/sotopia_original_replica -python generate_executable.py --input=raw_config.json # output will be stored in output.toml -aact run-dataflow output.toml # calling aact to run the simulation +uv run python examples/experimental/sotopia_original_replica/websocket_simulation_client.py ``` +You would see the msgs coming from the websocket server. ![Alt text](./origin.svg) diff --git a/examples/experimental/sotopia_original_replica/templates/multiagents.jinja2 b/examples/experimental/sotopia_original_replica/templates/multiagents.jinja2 deleted file mode 100644 index ac6dd35ec..000000000 --- a/examples/experimental/sotopia_original_replica/templates/multiagents.jinja2 +++ /dev/null @@ -1,67 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = [{% for ins in extra_modules %} - "{{ ins }}",{% endfor %} - "examples.experimental.nodes.chat_print_node", - "sotopia.experimental.agents.moderator", - "sotopia.experimental.agents.evaluators" -] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" -[nodes.node_args] -output_channels = [ {% for agent in agents %} - "moderator:{{ agent.name }}"{% if not loop.last %},{% endif %}{% endfor %} -] -input_channels = [{% for agent in agents %} - "{{ agent.name }}:moderator"{% if not loop.last %},{% endif %}{% endfor %} -] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = { {% for agent in agents %}"moderator:{{ agent.name }}" = "{{agent.name}}"{% if not loop.last %},{% endif %}{% endfor %}} -scenario = "{{scenario}}" -max_turns = {{max_turns}} -push_to_db = {{push_to_db | render_bool }} -evaluate_episode = {{evaluate_episode | render_bool}} -use_pk_value = {{use_pk_value | render_bool}} - -{% for agent in agents %} -[[nodes]] -node_name = "{{agent.name}}" -node_class = "{{agent_node}}" - -[nodes.node_args] -input_channels = ["moderator:{{agent.name}}"] -output_channel = "{{agent.name}}:moderator" -goal = "{{agent.goal}}" -model_name = "{{agent.model_name if agent.model_name is defined else default_model}}" -{% if agent.agent_pk is defined%} -agent_pk = "{{agent.agent_pk}}" -{% else %} -agent_name = "{{agent.name}}" -[nodes.node_args.background] -{{render_dict(agent.background,"nodes.node_args.background")}} -{% endif %} - -{% endfor %} - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args.print_channel_types]{% for agent in agents %} -"{{agent.name}}:moderator" = "agent_action"{% endfor %} - -[nodes.node_args] -env_agents = [{% for agent in agents %} - "{{ agent.name }}"{% if not loop.last %},{% endif %}{% endfor %} -] - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "{{evaluator_model}}" diff --git a/examples/experimental/sotopia_original_replica/websocket_simulation_client.py b/examples/experimental/sotopia_original_replica/websocket_simulation_client.py index 768f3ee45..698851872 100644 --- a/examples/experimental/sotopia_original_replica/websocket_simulation_client.py +++ b/examples/experimental/sotopia_original_replica/websocket_simulation_client.py @@ -1,7 +1,7 @@ import asyncio import json import logging -from typing import List, Optional, Any +from typing import Dict, Any from rich.console import Console from rich.logging import RichHandler import rich @@ -60,53 +60,18 @@ async def check_api_connection() -> bool: return False -async def run_simulation( - env_id: str, - agent_ids: List[str], - agent_models: Optional[List[str]] = None, - env_profile_dict: Optional[dict[str, Any]] = None, - agent_profile_dicts: Optional[List[dict[str, Any]]] = None, - evaluator_model: Optional[str] = None, - evaluation_dimension_list_name: Optional[str] = None, -) -> None: +async def run_simulation(start_message: Dict[str, Any]) -> None: """ Connect to the WebSocket endpoint and run a simulation. Args: - env_id: ID of the environment to use - agent_ids: List of agent IDs to participate in the simulation - agent_models: List of models to use for each agent - evaluator_model: Model to use for evaluation - evaluation_dimension_list_name: Name of evaluation dimension list + start_message: Complete message to start the simulation """ # Check API connection if not await check_api_connection(): logger.error("Cannot proceed with simulation: API connection failed") return - # Prepare simulation start message - start_message = { - "type": WSMessageType.START_SIM, - "data": { - "env_id": env_id, - "agent_ids": agent_ids, - }, - } - - # Add optional parameters if provided - if agent_models: - start_message["data"]["agent_models"] = agent_models - if evaluator_model: - start_message["data"]["evaluator_model"] = evaluator_model - if evaluation_dimension_list_name: - start_message["data"]["evaluation_dimension_list_name"] = ( - evaluation_dimension_list_name - ) - if env_profile_dict: - start_message["data"]["env_profile_dict"] = env_profile_dict - if agent_profile_dicts: - start_message["data"]["agent_profile_dicts"] = agent_profile_dicts - # Connect to WebSocket session = aiohttp.ClientSession() try: @@ -184,34 +149,28 @@ async def run_simulation( await session.close() -async def main(): - # Example parameters - env_id = "env_123" # Replace with actual environment ID - agent_ids = ["agent_1", "agent_2", "agent_3"] # Replace with actual agent IDs - agent_models = ["gpt-4o-mini", "gpt-4o-mini", "gpt-4o-mini"] - evaluator_model = "gpt-4o" - env_profile_dict = { - "codename": "test", - "scenario": "Just chat (finish the conversation in 2 turns)", - "agent_goals": ["Just chat"] * len(agent_ids), +if __name__ == "__main__": + # Example simulation start message + start_message = { + "type": WSMessageType.START_SIM, + "data": { + "env_id": "env_123", + "agent_ids": ["agent_1", "agent_2", "agent_3"], + "agent_models": ["gpt-4o-mini", "gpt-4o-mini", "gpt-4o-mini"], + "evaluator_model": "gpt-4o", + "evaluation_dimension_list_name": "sotopia", + "env_profile_dict": { + "codename": "test", + "scenario": "Just chat (finish the conversation in 2 turns)", + "agent_goals": ["Just chat", "Just chat", "Just chat"], + }, + "agent_profile_dicts": [ + {"first_name": "agent_1", "last_name": "agent_1"}, + {"first_name": "agent_2", "last_name": "agent_2"}, + {"first_name": "agent_3", "last_name": "agent_3"}, + ], + "max_turns": 20, + }, } - agent_profile_dicts = [ - { - "first_name": f"agent_{agent_id}", - "last_name": f"agent_{agent_id}", - } - for agent_id in agent_ids - ] - await run_simulation( - env_id=env_id, - agent_ids=agent_ids, - agent_models=agent_models, - env_profile_dict=env_profile_dict, - agent_profile_dicts=agent_profile_dicts, - evaluator_model=evaluator_model, - evaluation_dimension_list_name="sotopia", - ) - -if __name__ == "__main__": - asyncio.run(main()) + asyncio.run(run_simulation(start_message)) diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index 1ac42c70f..cd0581bc1 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -159,6 +159,7 @@ async def create_simulator( evaluation_dimension_list_name: str, env_profile_dict: dict[str, Any], agent_profile_dicts: list[dict[str, Any]], + max_turns: int = 20, ) -> WebSocketSotopiaSimulator: try: return WebSocketSotopiaSimulator( @@ -169,6 +170,7 @@ async def create_simulator( evaluation_dimension_list_name=evaluation_dimension_list_name, env_profile_dict=env_profile_dict, agent_profile_dicts=agent_profile_dicts, + max_turns=max_turns, ) except Exception as e: error_msg = f"Failed to create simulator: {e}" @@ -680,6 +682,7 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: evaluation_dimension_list_name=start_msg["data"].get( "evaluation_dimension_list_name", "sotopia" ), + max_turns=start_msg["data"].get("max_turns", 20), ) print(f"Simulator created: {simulator}") await manager.run_simulation(websocket, simulator) diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index 2b15a2c0a..80a6d6a77 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -17,11 +17,6 @@ from enum import Enum from typing import Type, TypedDict, Any, AsyncGenerator, List from pydantic import BaseModel -import asyncio -import json -import os -import redis.asyncio # Use Redis async client -from sotopia.experimental import generate_executable import uuid from sotopia.messages import Message @@ -155,6 +150,7 @@ def __init__( agent_models: list[str] = ["gpt-4o-mini", "gpt-4o-mini"], evaluator_model: str = "gpt-4o", evaluation_dimension_list_name: str = "sotopia", + max_turns: int = 20, ) -> None: if len(agent_ids) == 2: try: @@ -185,6 +181,7 @@ def __init__( self.evaluation_dimension_list_name = evaluation_dimension_list_name self.connection_id = str(uuid.uuid4()) + self.max_turns = max_turns async def arun(self) -> AsyncGenerator[dict[str, Any], None]: # Use sotopia to run the simulation @@ -196,7 +193,7 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: streaming=True, ) elif len(self.agents) > 2: - generator = arun_sotopia_original_replica( + generator = arun_server_adaptor( env=self.env, agent_list=self.agents, agent_models=self.agent_models, @@ -205,6 +202,7 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: push_to_db=False, streaming=True, connection_id=self.connection_id, + max_turns=self.max_turns, ) else: raise ValueError("Number of agents must be 2 or greater") @@ -256,7 +254,7 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: } -async def arun_sotopia_original_replica( +async def arun_server_adaptor( env: EnvironmentProfile, agent_list: List[AgentProfile], agent_models: List[str], @@ -267,26 +265,10 @@ async def arun_sotopia_original_replica( streaming: bool = False, connection_id: str = "", ) -> AsyncGenerator[List[List[tuple[str, str, Message]]], None]: - """ - Run a Sotopia simulation using the original replica method for more than 2 agents. + # Prepare episode configuration + from sotopia.experimental.server import arun_one_episode - Args: - env: The Sotopia environment - agent_list: List of agents participating in the simulation - push_to_db: Whether to push results to database - streaming: Whether to stream results - - Returns: - AsyncGenerator yielding simulation messages - """ - # Create data folder if it doesn't exist - data_folder = os.path.join(os.getcwd(), "data") # Need to be careful here - os.makedirs(data_folder, exist_ok=True) - - # Create raw config file in the data folder - output_toml_path = os.path.join(data_folder, f"output_{connection_id}.toml") - - # Prepare raw config data + # TODO: Unify the API of the two agents config_data = { "redis_url": "redis://localhost:6379/0", "extra_modules": [ @@ -311,132 +293,24 @@ async def arun_sotopia_original_replica( "background": agent.dict(), } for i, agent in enumerate(agent_list) - ] - + [ - { - "name": "redis_agent", - } ], - "connection_id": connection_id, } - config_data_str = generate_executable(config_data) - # save the config_data_str to the output_toml_path - with open(output_toml_path, "w") as f: - f.write(config_data_str) - # Run the dataflow - run_cmd = f"aact run-dataflow {output_toml_path}" - # Start the process and capture stdout and stderr for debugging - proc = await asyncio.create_subprocess_shell( - run_cmd, stdout=asyncio.subprocess.PIPE, stderr=asyncio.subprocess.PIPE - ) - - # Create tasks to read and log stdout and stderr without blocking - async def log_stdout(): - while True: - line = await proc.stdout.readline() - if not line: - break - print(f"Dataflow output: {line.decode().strip()}") - - async def log_stderr(): - while True: - line = await proc.stderr.readline() - if not line: - break - print(f"Dataflow error: {line.decode().strip()}") - - # Start the logging tasks - stdout_task = asyncio.create_task(log_stdout()) - stderr_task = asyncio.create_task(log_stderr()) - - # Connect to Redis using the async client - redis_client = redis.asyncio.Redis(host="localhost", port=6379, db=0) - pubsub = redis_client.pubsub() - channel = f"{connection_id}" if connection_id else "sotopia:simulation" - print(f"Subscribing to channel: {channel}") - await pubsub.subscribe(channel) - - # Create a task to monitor the process completion - process_done = asyncio.Event() - - async def monitor_process(): - await proc.wait() - process_done.set() - - monitor_task = asyncio.create_task(monitor_process()) - - try: - # Process messages from pubsub using async iterator with timeout - while not process_done.is_set(): - # Use wait_for with a timeout to periodically check if process is done - try: - message = await asyncio.wait_for( - pubsub.get_message(ignore_subscribe_messages=True), timeout=0.1 - ) - if message is None: - # No message received within timeout, check if process is done - continue - # Process the message data - try: - line_str = message["data"].decode() - message_data = json.loads(line_str) - potential_episode_log = json.loads(message_data.get("last_turn")) - if "messages" in potential_episode_log: - messages = potential_episode_log["messages"] - processed_messages = [] - for i, message in enumerate(messages): - processed_messages.append( - [ - ( - message[0][0], - message[0][1], - SimpleMessage(message=message[0][2]), - ) - ] - ) - yield processed_messages - else: - # Handle other message types that don't have the expected format - # Log the message for debugging but don't yield it - print( - f"Received message with unexpected format: {message_data}" + # Use the arun_one_episode function from server.py + async for episode_data in arun_one_episode( + episode_config=config_data, + connection_id=connection_id, + ): + if "messages" in episode_data: + messages = episode_data["messages"] + processed_messages = [] + for i, message in enumerate(messages): + processed_messages.append( + [ + ( + message[0][0], + message[0][1], + SimpleMessage(message=message[0][2]), ) - - except (json.JSONDecodeError, KeyError, UnicodeDecodeError): - # Skip messages that aren't valid JSON or have unexpected format - continue - - except asyncio.TimeoutError: - # Timeout occurred, loop will continue and check if process is done - continue - - except asyncio.CancelledError: - # Handle cancellation - raise - finally: - # Clean up Redis connection - await pubsub.unsubscribe(channel) - await pubsub.close() - await redis_client.close() - - # Cancel monitoring tasks - monitor_task.cancel() - stdout_task.cancel() - stderr_task.cancel() - - try: - await asyncio.gather( - monitor_task, stdout_task, stderr_task, return_exceptions=True - ) - except asyncio.CancelledError: - pass - - # Terminate the process if it's still running - if proc.returncode is None: - proc.terminate() - await proc.wait() - - # Check for errors - if proc.returncode and proc.returncode != 0: - stderr_content = await proc.stderr.read() - raise RuntimeError(f"Dataflow execution failed: {stderr_content.decode()}") + ] + ) + yield processed_messages diff --git a/sotopia/experimental/server.py b/sotopia/experimental/server.py index 415ec6de8..e6672cc21 100644 --- a/sotopia/experimental/server.py +++ b/sotopia/experimental/server.py @@ -6,8 +6,25 @@ import uuid import logging from rich import print +import os # Add import for os module +from rich.logging import RichHandler -logger = logging.getLogger(__name__) +# Configure logger +logger = logging.getLogger("sotopia.experimental.server") +logger.setLevel(logging.INFO) + +# Create console handler with rich formatting +console_handler = RichHandler(rich_tracebacks=True) +console_handler.setLevel(logging.INFO) + +# Create formatter +formatter = logging.Formatter( + "%(asctime)s - %(name)s - %(levelname)s - %(message)s", datefmt="%Y-%m-%d %H:%M:%S" +) +console_handler.setFormatter(formatter) + +# Add handler to logger +logger.addHandler(console_handler) async def arun_one_episode( @@ -149,6 +166,14 @@ async def monitor_process(): proc.terminate() await proc.wait() + # Remove the temporary configuration file + try: + if os.path.exists(temp_filename): + os.remove(temp_filename) + logger.info(f"Removed temporary configuration file: {temp_filename}") + except Exception as e: + logger.error(f"Failed to remove temporary file {temp_filename}: {e}") + # Check for errors if proc.returncode and proc.returncode != 0: stderr_content = await proc.stderr.read() From 047c708e69123d62ee4803db96723eb43ff4edf5 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Wed, 12 Mar 2025 21:20:24 -0400 Subject: [PATCH 04/18] fixing mypy error --- .../sotopia_original_replica/simulate.py | 2 +- examples/fix_missing_episodes_with_tag.py | 1 - sotopia/api/fastapi_server.py | 3 +- sotopia/api/websocket_utils.py | 20 +++++++----- sotopia/envs/parallel.py | 3 +- sotopia/experimental/agents/moderator.py | 2 +- sotopia/experimental/agents/redis_agent.py | 31 ++++++++++--------- sotopia/experimental/server.py | 20 +++++++----- sotopia/server.py | 3 +- 9 files changed, 48 insertions(+), 37 deletions(-) diff --git a/examples/experimental/sotopia_original_replica/simulate.py b/examples/experimental/sotopia_original_replica/simulate.py index 935ce2f17..e614e7248 100644 --- a/examples/experimental/sotopia_original_replica/simulate.py +++ b/examples/experimental/sotopia_original_replica/simulate.py @@ -25,7 +25,7 @@ async def simulate_from_config( json.dump(result, f, indent=2) -def main(): +def main() -> None: parser = argparse.ArgumentParser(description="Run a Sotopia simulation") parser.add_argument("--config", type=str, help="Path to config file") parser.add_argument("--save_path", type=str, help="Path to save the result") diff --git a/examples/fix_missing_episodes_with_tag.py b/examples/fix_missing_episodes_with_tag.py index a8619861e..eaeb7753f 100644 --- a/examples/fix_missing_episodes_with_tag.py +++ b/examples/fix_missing_episodes_with_tag.py @@ -320,7 +320,6 @@ def yield_env_agent_combo( env_profile = EnvironmentProfile.get(env_id) env = ParallelSotopiaEnv( env_profile=env_profile, - model_name=model_names["env"], action_order="round-robin", evaluators=[ RuleBasedTerminatedEvaluator(max_turn_number=20, max_stale_turn=2), diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index cd0581bc1..47450c979 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -423,12 +423,11 @@ def setup_routes(self) -> None: @self.get("/health", status_code=200) async def health_check() -> dict[str, Any]: """Comprehensive health check endpoint""" - health_status = { + health_status: dict[str, Any] = { "status": "ok", "message": "All systems operational", "components": {}, } - # Check Redis connection try: redis_conn = get_redis_connection() diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index 80a6d6a77..8dba440d0 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -15,7 +15,7 @@ from sotopia.server import arun_one_episode from enum import Enum -from typing import Type, TypedDict, Any, AsyncGenerator, List +from typing import Type, TypedDict, Any, AsyncGenerator, List, cast from pydantic import BaseModel import uuid from sotopia.messages import Message @@ -171,8 +171,8 @@ def __init__( env_profile_dict ), "env_profile_dict must be provided if number of agents is greater than 2" assert agent_profile_dicts, "agent_profile_dicts must be provided if number of agents is greater than 2" - self.env = EnvironmentProfile(**env_profile_dict) - self.agents = [ + self.env_profile = EnvironmentProfile(**env_profile_dict) + self.agent_profiles = [ AgentProfile(**agent_profile_dict) for agent_profile_dict in agent_profile_dicts ] @@ -194,8 +194,8 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: ) elif len(self.agents) > 2: generator = arun_server_adaptor( - env=self.env, - agent_list=self.agents, + env=self.env_profile, + agent_list=self.agent_profiles, agent_models=self.agent_models, evaluator_model=self.evaluator_model, evaluation_dimension_list_name=self.evaluation_dimension_list_name, @@ -234,8 +234,12 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: ).dict() except Exception: epilog = { - "environment": self.env.pk, - "agents": [agent.pk for agent in self.agents], + "environment": getattr(self.env, "profile", {}).get("pk", "") + if hasattr(self, "env") + else getattr(self.env_profile, "pk", ""), + "agents": [agent.profile.pk for agent in self.agents.values()] + if hasattr(self, "agents") and isinstance(self.agents, Agents) + else [agent.pk for agent in self.agent_profiles], "tag": "test", "messages": [ [ @@ -309,7 +313,7 @@ async def arun_server_adaptor( ( message[0][0], message[0][1], - SimpleMessage(message=message[0][2]), + cast(Message, SimpleMessage(message=message[0][2])), ) ] ) diff --git a/sotopia/envs/parallel.py b/sotopia/envs/parallel.py index 66c67ac95..b58ca5a1c 100644 --- a/sotopia/envs/parallel.py +++ b/sotopia/envs/parallel.py @@ -131,6 +131,7 @@ def __init__( ), action_order: Literal["simultaneous", "round-robin", "random"] = "simultaneous", evaluators: list[Evaluator] = [], + model_name: str = "gpt-4o-mini", terminal_evaluators: list[Evaluator] = [], uuid_str: str | None = None, env_profile: EnvironmentProfile | None = None, @@ -165,7 +166,7 @@ def __init__( self.action_mask: list[bool] = [] self.evaluators = evaluators self.terminal_evaluators = terminal_evaluators - + self.model_name = model_name # if an environment profile is provided, use it assert ( env_profile or uuid_str diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index 309a97bff..8f1bc002b 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -340,7 +340,7 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: available_actions = ["none"] if self.action_order == "round-robin": if agent_name == self.agents[self.current_agent_index]: - available_actions = self.available_actions + available_actions = list(self.available_actions) print(f"available_actions: {available_actions}") observation = Observation( agent_name=agent_name, diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index 1057b7175..4ce1a08a3 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -4,6 +4,7 @@ import sys from rich.logging import RichHandler import aiohttp +from aiohttp import ClientSession, ClientWebSocketResponse from aact import NodeFactory @@ -58,10 +59,10 @@ def __init__( self.background: dict[str, Any] | None = background self.awake: bool = False self.websocket_url = websocket_url - self.websocket_session = None - self.websocket = None + self.websocket_session: ClientSession | None = None + self.websocket: ClientWebSocketResponse | None = None self.pubsub_channel = pubsub_channel - self.websocket_task = None + self.websocket_task: asyncio.Task[None] | None = None self.last_websocket_message = None self.websocket_wait_time = websocket_wait_time self.loop_interval = loop_interval @@ -70,20 +71,21 @@ def __init__( # We'll set up the websocket connection in setup_websocket # which will be called during the first aact call - async def setup_websocket(self): + async def setup_websocket(self) -> None: """Set up the websocket connection""" if self.websocket_url and not self.websocket: try: self.websocket_session = aiohttp.ClientSession() - self.websocket = await self.websocket_session.ws_connect( - self.websocket_url - ) - self.websocket_task = asyncio.create_task(self.listen_websocket()) - logger.info(f"Connected to websocket at {self.websocket_url}") + if self.websocket_session is not None: + self.websocket = await self.websocket_session.ws_connect( + self.websocket_url + ) + self.websocket_task = asyncio.create_task(self.listen_websocket()) + logger.info(f"Connected to websocket at {self.websocket_url}") except Exception as e: logger.error(f"Failed to connect to websocket: {e}") - async def listen_websocket(self): + async def listen_websocket(self) -> None: """Listen for messages from websocket (NOTE: This is mock implementation, to be further developed)""" while not self.shutdown_event.is_set(): try: @@ -108,16 +110,17 @@ async def listen_websocket(self): try: if self.websocket_session and self.websocket_session.closed: self.websocket_session = aiohttp.ClientSession() - self.websocket = await self.websocket_session.ws_connect( - self.websocket_url - ) + if self.websocket_session is not None: + self.websocket = await self.websocket_session.ws_connect( + self.websocket_url + ) logger.info("Reconnected to websocket") except Exception as e: logger.error(f"Failed to reconnect to websocket: {e}") self.websocket = None await asyncio.sleep(1) # Wait before retrying - async def publish_observation(self, obs: Observation): + async def publish_observation(self, obs: Observation) -> None: """Publish observation to Redis""" obs_json = json.dumps(obs.model_dump()) await self.r.publish(self.pubsub_channel, obs_json) diff --git a/sotopia/experimental/server.py b/sotopia/experimental/server.py index e6672cc21..a02fe3ba9 100644 --- a/sotopia/experimental/server.py +++ b/sotopia/experimental/server.py @@ -71,19 +71,25 @@ async def arun_one_episode( ) # Create tasks to read and log stdout and stderr without blocking - async def log_stdout(): + async def log_stdout() -> None: while True: - line = await proc.stdout.readline() + if proc.stdout is not None: + line = await proc.stdout.readline() + else: + line = b"" if not line: break print(f"{line.decode().strip()}") - async def log_stderr(): + async def log_stderr() -> None: while True: - line = await proc.stderr.readline() - if not line: + if proc.stderr is not None: + err = await proc.stderr.readline() + else: + err = b"" + if not err: break - print(f"{line.decode().strip()}") + print(f"{err.decode().strip()}") # Start the logging tasks stdout_task = asyncio.create_task(log_stdout()) @@ -99,7 +105,7 @@ async def log_stderr(): # Create a task to monitor the process completion process_done = asyncio.Event() - async def monitor_process(): + async def monitor_process() -> None: await proc.wait() process_done.set() diff --git a/sotopia/server.py b/sotopia/server.py index 15d0204c2..2039cda94 100644 --- a/sotopia/server.py +++ b/sotopia/server.py @@ -46,8 +46,8 @@ def run_sync_server( # This step will be moved to outside this function env = ParallelSotopiaEnv( - model_name=model_name_dict["env"], action_order=action_order, + model_name=model_name_dict["env"], evaluators=[ RuleBasedTerminatedEvaluator(), ], @@ -127,7 +127,6 @@ async def arun_one_episode( AsyncGenerator[list[list[tuple[str, str, Message]]], None], ]: agents = Agents({agent.agent_name: agent for agent in agent_list}) - print(f"Running episode with tag: {tag}------------------") async def generate_messages() -> ( AsyncGenerator[list[list[tuple[str, str, Message]]], None] From be4aae0678daae96795611736ff008b92bce0d47 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Wed, 12 Mar 2025 22:07:46 -0400 Subject: [PATCH 05/18] why new engine --- docs/pages/experimental/index.mdx | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/docs/pages/experimental/index.mdx b/docs/pages/experimental/index.mdx index 1a6a82089..7bcbe8fd3 100644 --- a/docs/pages/experimental/index.mdx +++ b/docs/pages/experimental/index.mdx @@ -5,21 +5,18 @@ This part of the documentation is for experimental features. The APIs and functi -Sotopia is transitioning to the AACT (an actor model library; strong typing with validation) engine for its experimental features. Essentially, for each agent, we have an individual process that is running the agent's logic. Why we are not using asyncio directly? +Sotopia is transitioning to the AACT (an actor model library with strong typing and validation) engine for its experimental features. Essentially, for each agent, we have an individual process running the agent's logic. Why are we not using asyncio directly? (Note that's basically what currently popular multi-agent frameworks like Autogen, Swarm, CrewAI etc. are using). -* asyncio requires non-blocking implementation of the agent's logic. e.g. Imagine two agents are chatting with each other. If we use asyncio directly, we need to wait for the first agent to respond before the second agent can respond. This is not a natural conversation flow. +Asyncio requires non-blocking implementation of the agent's logic. Imagine two agents chatting with each other. If we use asyncio directly, we need to wait for the first agent to finish its turn before the second agent can respond. This is not a natural interaction flow. Like if one agent is taking forever in typing, the other agent will have to wait. That's totally fine for cases where the agents are "cooperative" and the interaction is "turn-based." -What if we have 1000 agents? +But that's really not the case for social simulations. -Imagine another case, in robotics, +And what if we have 1000 agents? Things will get even worse as the interactions and dependencies between the agents become more complex. -Key benefits of AACT include: -- **Asynchronous communication** between agents, allowing for more natural conversation flows -- **Flexible node-based architecture** that makes it easy to define custom agent behaviors and communication patterns -- **Redis-based message passing** for reliable and scalable agent interactions -- **Dataflow configuration** using simple TOML files to define your agent ecosystem +Instead, we advocate this "real-time" async interaction flow, where each agent is independent and they can do their own thing regardless of the other agents. -To try AACT-based features, check out the [Agents](/experimental/agents) documentation. +And we believe this new engine will be the future of more realistic social simulations. +So here we are! In this very exciting experimental phase. And we are looking for your feedback and help! The experimental APIs of Sotopia are intended for quickly prototyping and experimenting with new functionalities, From 015e831edda8d48ae071d8964994eddaece8f803 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Thu, 13 Mar 2025 16:07:39 -0400 Subject: [PATCH 06/18] fix ui issues --- sotopia/api/fastapi_server.py | 75 ++++++-- sotopia/api/websocket_utils.py | 109 +++++------- ui/app.py | 11 +- ui/pages/render_chat_websocket.py | 273 ++++++++++++++++++++++++++---- ui/rendering/render_elements.py | 32 ++-- ui/rendering/render_utils.py | 118 +++++++++++++ 6 files changed, 488 insertions(+), 130 deletions(-) diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index 47450c979..6a46fcd2b 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -306,7 +306,16 @@ async def nonstreaming_simulation( async def get_scenarios_all() -> list[EnvironmentProfile]: - return EnvironmentProfile.all() + scenarios = EnvironmentProfile.all() + if not scenarios: + # Create a pseudo scenario if none exist + pseudo_scenario = EnvironmentProfile( + codename="Sample Scenario", + scenario="Sample scenario description", + agent_goals=["Sample agent 1", "Sample agent 2"], + ) + scenarios = [pseudo_scenario] + return scenarios async def get_scenarios( @@ -331,7 +340,15 @@ async def get_scenarios( async def get_agents_all() -> list[AgentProfile]: - return AgentProfile.all() + agents = AgentProfile.all() + if not agents: + # Create a pseudo agent if none exist + pseudo_agent = AgentProfile( + first_name="Sample Agent", + last_name="", + ) + agents = [pseudo_agent] + return agents async def get_agents( @@ -369,7 +386,29 @@ async def get_relationship(agent_1_id: str, agent_2_id: str) -> str: async def get_episodes_all() -> list[EpisodeLog]: - return EpisodeLog.all() + episodes = EpisodeLog.all() + if not episodes: + # Create a pseudo episode if none exist + pseudo_episode = EpisodeLog( + environment="Sample Environment", + agents=["Sample Agent 1", "Sample Agent 2"], + models=["gpt-4o", "gpt-4o"], + messages=[ + [ + ("Environment", "Agent 1", "Welcome to the sample environment."), + ("Environment", "Agent 2", "This is a sample conversation."), + ] + ], + reasoning="This is a sample reasoning about the interaction between the agents.", + rewards=[ + (0.5, {"cooperation": 0.7, "empathy": 0.3}), + (0.6, {"cooperation": 0.5, "empathy": 0.7}), + ], + rewards_prompt="Evaluate the agents based on cooperation and empathy.", + tag="sample", + ) + episodes = [pseudo_episode] + return episodes async def get_episodes(get_by: Literal["id", "tag"], value: str) -> list[EpisodeLog]: @@ -390,15 +429,28 @@ async def get_episodes(get_by: Literal["id", "tag"], value: str) -> list[Episode async def get_evaluation_dimensions() -> dict[str, list[CustomEvaluationDimension]]: custom_evaluation_dimensions: dict[str, list[CustomEvaluationDimension]] = {} all_custom_evaluation_dimension_list = CustomEvaluationDimensionList.all() - for custom_evaluation_dimension_list in all_custom_evaluation_dimension_list: - assert isinstance( - custom_evaluation_dimension_list, CustomEvaluationDimensionList + + if not all_custom_evaluation_dimension_list: + # Create a pseudo evaluation dimension if none exist + pseudo_dimension = CustomEvaluationDimension( + name="Sample Dimension", + description="This is a sample evaluation dimension", + range_high=5, + range_low=1, ) - custom_evaluation_dimensions[custom_evaluation_dimension_list.name] = [ - CustomEvaluationDimension.get(pk=pk) - for pk in custom_evaluation_dimension_list.dimension_pks - ] - print(custom_evaluation_dimensions) + custom_evaluation_dimensions["sample_dimensions"] = [pseudo_dimension] + else: + for custom_evaluation_dimension_list in all_custom_evaluation_dimension_list: + assert isinstance( + custom_evaluation_dimension_list, CustomEvaluationDimensionList + ) + dimensions = [ + CustomEvaluationDimension.get(pk=pk) + for pk in custom_evaluation_dimension_list.dimension_pks + ] + custom_evaluation_dimensions[custom_evaluation_dimension_list.name] = ( + dimensions + ) return custom_evaluation_dimensions @@ -683,7 +735,6 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: ), max_turns=start_msg["data"].get("max_turns", 20), ) - print(f"Simulator created: {simulator}") await manager.run_simulation(websocket, simulator) except WebSocketDisconnect: diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index 8dba440d0..1e7e39250 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -4,7 +4,7 @@ RuleBasedTerminatedEvaluator, ) from sotopia.agents import Agents, LLMAgent -from sotopia.messages import Observation, SimpleMessage +from sotopia.messages import Observation from sotopia.envs import ParallelSotopiaEnv from sotopia.database import ( EnvironmentProfile, @@ -15,10 +15,9 @@ from sotopia.server import arun_one_episode from enum import Enum -from typing import Type, TypedDict, Any, AsyncGenerator, List, cast +from typing import Type, TypedDict, Any, AsyncGenerator, List from pydantic import BaseModel import uuid -from sotopia.messages import Message class WSMessageType(str, Enum): @@ -185,38 +184,22 @@ def __init__( async def arun(self) -> AsyncGenerator[dict[str, Any], None]: # Use sotopia to run the simulation - if len(self.agents) == 2: + if len(self.agent_models) == 2: generator = await arun_one_episode( env=self.env, agent_list=list(self.agents.values()), push_to_db=False, streaming=True, ) - elif len(self.agents) > 2: - generator = arun_server_adaptor( - env=self.env_profile, - agent_list=self.agent_profiles, - agent_models=self.agent_models, - evaluator_model=self.evaluator_model, - evaluation_dimension_list_name=self.evaluation_dimension_list_name, - push_to_db=False, - streaming=True, - connection_id=self.connection_id, - max_turns=self.max_turns, - ) - else: - raise ValueError("Number of agents must be 2 or greater") - - assert isinstance( - generator, AsyncGenerator - ), "generator should be async generator, but got {}".format(type(generator)) + assert isinstance( + generator, AsyncGenerator + ), "generator should be async generator, but got {}".format(type(generator)) - async for messages in generator: - reasoning, rewards = "", [0.0, 0.0] - if messages[-1][0][0] == "Evaluation": - reasoning = messages[-1][0][2].to_natural_language() - rewards = eval(messages[-2][0][2].to_natural_language()) - try: + async for messages in generator: + reasoning, rewards = "", [0.0, 0.0] + if messages[-1][0][0] == "Evaluation": + reasoning = messages[-1][0][2].to_natural_language() + rewards = eval(messages[-2][0][2].to_natural_language()) epilog = EpisodeLog( environment=self.env.profile.pk, agents=[agent.profile.pk for agent in self.agents.values()], @@ -232,30 +215,37 @@ async def arun(self) -> AsyncGenerator[dict[str, Any], None]: rewards=rewards, rewards_prompt="", ).dict() - except Exception: - epilog = { - "environment": getattr(self.env, "profile", {}).get("pk", "") - if hasattr(self, "env") - else getattr(self.env_profile, "pk", ""), - "agents": [agent.profile.pk for agent in self.agents.values()] - if hasattr(self, "agents") and isinstance(self.agents, Agents) - else [agent.pk for agent in self.agent_profiles], - "tag": "test", - "messages": [ - [ - (m[0], m[1], m[2].to_natural_language()) - for m in messages_in_turn - ] - for messages_in_turn in messages - ], - "reasoning": reasoning, - "rewards": rewards, - "rewards_prompt": "", + yield { + "type": "messages", + "messages": epilog, } - yield { - "type": "messages", - "messages": epilog, - } + elif len(self.agent_models) > 2: + multi_agent_generator: AsyncGenerator[dict[str, Any], None] = ( + arun_server_adaptor( + env=self.env_profile, + agent_list=self.agent_profiles, + agent_models=self.agent_models, + evaluator_model=self.evaluator_model, + evaluation_dimension_list_name=self.evaluation_dimension_list_name, + push_to_db=False, + streaming=True, + connection_id=self.connection_id, + max_turns=self.max_turns, + ) + ) + assert isinstance( + multi_agent_generator, AsyncGenerator + ), "generator should be async generator, but got {}".format( + type(multi_agent_generator) + ) + + async for message_data in multi_agent_generator: + yield { + "type": "messages", + "messages": message_data, + } + else: + raise ValueError("Number of agents must be 2 or greater") async def arun_server_adaptor( @@ -268,7 +258,7 @@ async def arun_server_adaptor( push_to_db: bool = True, streaming: bool = False, connection_id: str = "", -) -> AsyncGenerator[List[List[tuple[str, str, Message]]], None]: +) -> AsyncGenerator[dict[str, Any], None]: # Prepare episode configuration from sotopia.experimental.server import arun_one_episode @@ -304,17 +294,4 @@ async def arun_server_adaptor( episode_config=config_data, connection_id=connection_id, ): - if "messages" in episode_data: - messages = episode_data["messages"] - processed_messages = [] - for i, message in enumerate(messages): - processed_messages.append( - [ - ( - message[0][0], - message[0][1], - cast(Message, SimpleMessage(message=message[0][2])), - ) - ] - ) - yield processed_messages + yield episode_data diff --git a/ui/app.py b/ui/app.py index e9b640c9a..472ef569a 100644 --- a/ui/app.py +++ b/ui/app.py @@ -5,14 +5,13 @@ # Page Configuration st.set_page_config(page_title="SocialStream_Demo", page_icon="🧊", layout="wide") -# PORT = 8800 -# st.session_state.API_BASE = f"http://localhost:{PORT}" -# st.session_state.WS_BASE = f"ws://localhost:{PORT}" +# Session State Configuration for local development +PORT = 8080 +st.session_state.API_BASE = f"http://localhost:{PORT}" +st.session_state.WS_BASE = f"ws://localhost:{PORT}" +# Modal Configuration for remote deployment DEFAULT_BASE = "sotopia-lab--sotopia-fastapi-webapi-serve.modal.run" - -# Modal Configuration - if "API_BASE" not in st.session_state: st.session_state.API_BASE = f"https://{DEFAULT_BASE}" st.session_state.WS_BASE = f"ws://{DEFAULT_BASE}" diff --git a/ui/pages/render_chat_websocket.py b/ui/pages/render_chat_websocket.py index a486296cc..0971af6dd 100644 --- a/ui/pages/render_chat_websocket.py +++ b/ui/pages/render_chat_websocket.py @@ -43,7 +43,7 @@ def initialize_session_state() -> None: ) # Use first items as default choices - st.session_state.scenario_choice = list(st.session_state.scenarios.keys())[1] + st.session_state.scenario_choice = list(st.session_state.scenarios.keys())[0] st.session_state.agent_choice_1 = list(st.session_state.agent_dict.keys())[0] st.session_state.agent_choice_2 = list(st.session_state.agent_dict.keys())[0] st.session_state.agent1_model_choice = list( @@ -191,6 +191,134 @@ def handle_message(message: dict[str, Any]) -> None: st.error(f"Unknown message type: {message['data']['type']}") +def copy_current_json_config() -> None: + """Copy the current JSON configuration to the text area.""" + config = generate_current_json_config() + st.session_state.json_config = config + st.session_state.sidebar_json_config = config + + +def start_from_json_config() -> None: + """Start a simulation using a JSON configuration.""" + try: + # Determine which JSON config to use (main or sidebar) + if st.session_state.get("_is_sidebar", False): + json_config = st.session_state.sidebar_json_config + else: + json_config = st.session_state.json_config + + # Parse the JSON configuration + config = json.loads(json_config) + + # Validate the configuration + if "type" not in config or "data" not in config: + st.error("Invalid configuration: missing 'type' or 'data' field") + return + + # Start the simulation + st.session_state.active = True + st.session_state.messages = [] + chat_history_container.empty() + st.session_state.websocket_manager.start() + st.session_state.websocket_manager.send_message(config) + + except json.JSONDecodeError: + st.error("Invalid JSON configuration. Please check your syntax.") + except Exception as e: + st.error(f"Error starting simulation: {str(e)}") + + +def start_from_sidebar_json() -> None: + """This function is no longer used.""" + pass + + +def start_from_main_json() -> None: + """Start a simulation using the main JSON configuration.""" + st.session_state._is_sidebar = False + start_from_json_config() + + +def generate_default_json_config() -> str: + """Generate a default JSON configuration.""" + # Get the first scenario and agent + scenario_key = list(st.session_state.scenarios.keys())[0] + agent_key = list(st.session_state.agent_dict.keys())[0] + model_key = list(st.session_state.agent_model_dict.keys())[0] + eval_key = list(st.session_state.evaluation_dimension_dict.keys())[0] + + # Create a default configuration + config = { + "type": "START_SIM", + "data": { + "env_id": st.session_state.scenarios[scenario_key]["pk"], + "agent_ids": [ + st.session_state.agent_dict[agent_key]["pk"], + st.session_state.agent_dict[agent_key]["pk"], + ], + "agent_models": [ + st.session_state.agent_model_dict[model_key], + st.session_state.agent_model_dict[model_key], + ], + "evaluator_model": "gpt-4o", + "evaluation_dimension_list_name": eval_key, + "max_turns": 20, + }, + } + + config = { + "type": "START_SIM", + "data": { + "env_id": "env_123", + "agent_ids": ["agent_1", "agent_2", "agent_3"], + "agent_models": ["gpt-4o-mini", "gpt-4o-mini", "gpt-4o-mini"], + "evaluator_model": "gpt-4o", + "evaluation_dimension_list_name": "sotopia", + "env_profile_dict": { + "codename": "test", + "scenario": "Just chat (finish the conversation in 2 turns)", + "agent_goals": ["Just chat", "Just chat", "Just chat"], + }, + "agent_profile_dicts": [ + {"first_name": "agent_1", "last_name": "agent_1"}, + {"first_name": "agent_2", "last_name": "agent_2"}, + {"first_name": "agent_3", "last_name": "agent_3"}, + ], + "max_turns": 20, + }, + } + return json.dumps(config, indent=2) + + +def generate_current_json_config() -> str: + """Generate a JSON configuration based on the current settings.""" + config = { + "type": "START_SIM", + "data": { + "env_id": st.session_state.scenarios[st.session_state.scenario_choice][ + "pk" + ], + "agent_ids": [ + st.session_state.agent_dict[st.session_state.agent_choice_1]["pk"], + st.session_state.agent_dict[st.session_state.agent_choice_2]["pk"], + ], + "agent_models": [ + st.session_state.agent_model_dict[ + st.session_state.agent_model_choice_1 + ], + st.session_state.agent_model_dict[ + st.session_state.agent_model_choice_2 + ], + ], + "evaluator_model": "gpt-4o", + "evaluation_dimension_list_name": st.session_state.evaluation_dimension_choice, + "max_turns": int(st.session_state.max_turns), + }, + } + + return json.dumps(config, indent=2) + + def start_callback() -> None: if st.session_state.agent_choice_1 == st.session_state.agent_choice_2: st.error("Please select different agents") @@ -199,33 +327,33 @@ def start_callback() -> None: st.session_state.messages = [] chat_history_container.empty() st.session_state.websocket_manager.start() - st.session_state.websocket_manager.send_message( - { - "type": "START_SIM", - "data": { - "env_id": st.session_state.scenarios[ - st.session_state.scenario_choice - ]["pk"], - "agent_ids": [ - st.session_state.agent_dict[st.session_state.agent_choice_1][ - "pk" - ], - st.session_state.agent_dict[st.session_state.agent_choice_2][ - "pk" - ], + + # Create the configuration in the same format as the JSON config + config = { + "type": "START_SIM", + "data": { + "env_id": st.session_state.scenarios[st.session_state.scenario_choice][ + "pk" + ], + "agent_ids": [ + st.session_state.agent_dict[st.session_state.agent_choice_1]["pk"], + st.session_state.agent_dict[st.session_state.agent_choice_2]["pk"], + ], + "agent_models": [ + st.session_state.agent_model_dict[ + st.session_state.agent_model_choice_1 ], - "agent_models": [ - st.session_state.agent_model_dict[ - st.session_state.agent_model_choice_1 - ], - st.session_state.agent_model_dict[ - st.session_state.agent_model_choice_2 - ], + st.session_state.agent_model_dict[ + st.session_state.agent_model_choice_2 ], - "evaluation_dimension_list_name": st.session_state.evaluation_dimension_choice, - }, - } - ) + ], + "evaluator_model": "gpt-4o", + "evaluation_dimension_list_name": st.session_state.evaluation_dimension_choice, + "max_turns": int(st.session_state.max_turns), + }, + } + + st.session_state.websocket_manager.send_message(config) def stop_callback() -> None: @@ -252,10 +380,76 @@ def is_active() -> bool: def chat_demo() -> None: initialize_session_state() - update_scenario_description() + + # Add a checkbox to toggle between JSON configuration and standard UI + use_json_config = st.checkbox("Use JSON Configuration", value=False) + + if use_json_config: + # Only show JSON configuration when checkbox is selected + st.markdown(""" + ### Configure and start a simulation with JSON + + Enter your JSON configuration below and click "Start Simulation" to begin. + """) + + col1, col2 = st.columns([3, 1]) + with col2: + st.button("Use Current Settings", on_click=copy_current_json_config) + + # Initialize the JSON config if it doesn't exist + if "json_config" not in st.session_state: + st.session_state.json_config = generate_default_json_config() + + st.text_area( + "JSON Configuration:", + st.session_state.json_config, + height=300, + key="json_config", + ) + + if st.button( + "Start Simulation from JSON", + key="json_start_button", + on_click=start_from_main_json, + ): + pass + + st.markdown(""" + **Example Configuration:** + ```json + { + "type": "START_SIM", + "data": { + "env_id": "env_123", + "agent_ids": ["agent_1", "agent_2", "agent_3"], + "agent_models": ["gpt-4o-mini", "gpt-4o-mini", "gpt-4o-mini"], + "evaluator_model": "gpt-4o", + "evaluation_dimension_list_name": "sotopia", + "env_profile_dict": { + "codename": "test", + "scenario": "Just chat (finish the conversation in 2 turns)", + "agent_goals": ["Just chat", "Just chat", "Just chat"] + }, + "agent_profile_dicts": [ + {"first_name": "agent_1", "last_name": "agent_1"}, + {"first_name": "agent_2", "last_name": "agent_2"}, + {"first_name": "agent_3", "last_name": "agent_3"} + ], + "max_turns": 20 + } + } + ``` + """) + else: + # Show standard UI with scenario description when JSON config is not selected + update_scenario_description() + + # Remove the JSON expander from standard UI view with st.sidebar: with st.container(): + # Remove JSON Configuration from sidebar + # Scenario and Agent Selection with st.expander("Simulation Setup", expanded=True): scenario_col, scenario_desc_col = st.columns(2) @@ -264,7 +458,7 @@ def chat_demo() -> None: "Choose a scenario:", st.session_state.scenarios.keys(), key="scenario_choice", - disabled=is_active(), + disabled=is_active() or use_json_config, ) with scenario_desc_col: @@ -279,7 +473,7 @@ def chat_demo() -> None: "Choose Agent 1:", list(st.session_state.agent_dict.keys()), key="agent_choice_1", - disabled=is_active(), + disabled=is_active() or use_json_config, ) with agent2_col: @@ -287,7 +481,7 @@ def chat_demo() -> None: "Choose Agent 2:", list(st.session_state.agent_dict.keys()), key="agent_choice_2", - disabled=is_active(), + disabled=is_active() or use_json_config, ) model1_col, model2_col = st.columns(2) @@ -296,7 +490,7 @@ def chat_demo() -> None: "Choose Agent 1 Model:", list(st.session_state.agent_model_dict.keys()), key="agent_model_choice_1", - disabled=is_active(), + disabled=is_active() or use_json_config, ) with model2_col: @@ -304,14 +498,14 @@ def chat_demo() -> None: "Choose Agent 2 Model:", list(st.session_state.agent_model_dict.keys()), key="agent_model_choice_2", - disabled=is_active(), + disabled=is_active() or use_json_config, ) st.selectbox( "Choose evaluation dimensions:", list(st.session_state.evaluation_dimension_dict.keys()), key="evaluation_dimension_choice", - disabled=is_active(), + disabled=is_active() or use_json_config, ) evaluation_dimension_str = f"**Evaluation Dimensions:** {st.session_state.evaluation_dimension_choice}.
**Metric includes:** " @@ -326,8 +520,15 @@ def chat_demo() -> None: ) with st.expander("Other Options", expanded=False): - st.text_input("Max Turns", key="max_turns", value="20") - st.text_input("Max Stale Turns", key="max_stale_turns", value="3") + st.text_input( + "Max Turns", key="max_turns", value="20", disabled=use_json_config + ) + st.text_input( + "Max Stale Turns", + key="max_stale_turns", + value="3", + disabled=use_json_config, + ) # Control Buttons col1, col2, col3 = st.columns([2, 2, 2]) @@ -335,7 +536,7 @@ def chat_demo() -> None: with col1: st.button( "Start Simulation", - disabled=is_active(), + disabled=is_active() or use_json_config, on_click=start_callback, ) diff --git a/ui/rendering/render_elements.py b/ui/rendering/render_elements.py index c4db2ed29..64f7e46dc 100644 --- a/ui/rendering/render_elements.py +++ b/ui/rendering/render_elements.py @@ -12,12 +12,12 @@ from .render_utils import ( get_full_name, render_messages, + render_messages_for_multi_agent, local_css, avatar_mapping, ) from .get_elements import get_agents - role_mapping = { "Background Info": "background", "System": "info", @@ -217,10 +217,24 @@ def render_environment_profile(profile: BaseEnvironmentProfile) -> None: def render_conversation_and_evaluation(episode: EpisodeLog) -> None: local_css("./././css/style.css") - agents = [list(get_agents(agent).values())[0] for agent in episode.agents] - agent_names = [get_full_name(agent) for agent in agents] - - messages = render_messages(episode) + try: + agents = [list(get_agents(agent).values())[0] for agent in episode.agents] + agent_names = [get_full_name(agent) for agent in agents] + except Exception as e: + print(e) + agent_names = episode.agents + + try: + messages = render_messages(episode) + except Exception as e: + print(e) + sender_names, messages = render_messages_for_multi_agent(episode) + # hash avatar mapping for non-existing agents + for sender in sender_names: + if sender not in avatar_mapping: + avatar_mapping[sender] = list(avatar_mapping.values())[ + hash(sender) % len(list(avatar_mapping.values())) + ] background_messages = [ message for message in messages if message["role"] == "Background Info" @@ -234,10 +248,6 @@ def render_conversation_and_evaluation(episode: EpisodeLog) -> None: if message not in background_messages and message not in evaluation_messages ] - assert ( - len(background_messages) == 2 - ), f"Need 2 background messages, but got {len(background_messages)}" - st.markdown("---") st.subheader("Conversation & Evaluation") @@ -257,7 +267,9 @@ def render_conversation_and_evaluation(episode: EpisodeLog) -> None: with st.chat_message( role, avatar=str( - avatar_mapping.get(message["role"], avatar_mapping["default"]) + avatar_mapping.get( + message["role"], avatar_mapping["default_avatar"] + ) ), ): if isinstance(content, dict): diff --git a/ui/rendering/render_utils.py b/ui/rendering/render_utils.py index a6e92a13d..ceb30368b 100644 --- a/ui/rendering/render_utils.py +++ b/ui/rendering/render_utils.py @@ -214,3 +214,121 @@ def render_messages(episode: EpisodeLog) -> list[messageForRendering]: item["content"] = item["content"].replace("$", "\\$") return messages_for_rendering + + +def render_messages_for_multi_agent( + episode: EpisodeLog, +) -> tuple[set[str], list[messageForRendering]]: + """Generate a list of messages for human-readable version of the multi-agent episode log.""" + + messages_for_rendering: list[messageForRendering] = [] + sender_names: set[str] = set() + # Add background info from the first turn if available + if episode.messages and len(episode.messages[0]) > 0: + first_message = episode.messages[0][0][2] + messages_for_rendering.append( + {"role": "Background Info", "type": "info", "content": first_message} + ) + messages_for_rendering.append( + {"role": "System", "type": "divider", "content": "Start Simulation"} + ) + + # Process each turn in the conversation + for turn in episode.messages[1:]: # Skip the first turn with background info + for sender, receiver, message in turn: + sender_names.add(sender) + # Skip "did nothing" messages + if "did nothing" in message: + continue + + # Handle messages where an agent says something + if "said:" in message: + # Extract the actual message content after "said:" + content = message.split("said:")[1].strip().strip('"') + messages_for_rendering.append( + {"role": sender, "type": "said", "content": content} + ) + # Handle action messages + elif sender != "Environment" and receiver == "Environment": + if "left." in message: + messages_for_rendering.append( + { + "role": "Environment", + "type": "leave", + "content": f"{sender} left the conversation", + } + ) + else: + # Handle other action messages + action_message = message.replace("[action]", "").strip() + if action_message and "did nothing" not in action_message: + messages_for_rendering.append( + { + "role": sender, + "type": "action", + "content": action_message, + } + ) + # Handle environment messages + elif sender == "Environment": + messages_for_rendering.append( + { + "role": "Environment", + "type": "environment", + "content": message, + } + ) + + messages_for_rendering.append( + {"role": "System", "type": "divider", "content": "End Simulation"} + ) + + # Add reasoning and rewards if available + if hasattr(episode, "reasoning") and episode.reasoning: + # Get unique agent names from the conversation + agent_names = set( + msg["role"] + for msg in messages_for_rendering + if msg["type"] in {"said", "action"} and msg["role"] != "Environment" + ) + num_agents = len(agent_names) + + if num_agents > 0: + reasoning_per_agent, general_comment = parse_reasoning( + episode.reasoning, num_agents + ) + + if general_comment: + messages_for_rendering.append( + {"role": "General", "type": "comment", "content": general_comment} + ) + + for idx, reasoning in enumerate(reasoning_per_agent): + reasoning_lines = reasoning.split("\n") + new_reasoning = "" + for reasoning_line in reasoning_lines: + parts = reasoning_line.split(":", 1) + if len(parts) > 1: + dimension = parts[0] + new_reasoning += f"**{dimension}**: {parts[1]}\n" + else: + new_reasoning += reasoning_line + "\n" + + reward = ( + episode.rewards[idx] + if hasattr(episode, "rewards") and idx < len(episode.rewards) + else "N/A" + ) + messages_for_rendering.append( + { + "role": f"Agent {idx + 1}", + "type": "comment", + "content": f"**Agent {idx + 1} reasoning**:\n{new_reasoning}\n\n**Rewards**: {str(reward)}", + } + ) + + # Escape dollar signs to prevent markdown interpretation issues + for item in messages_for_rendering: + item["content"] = item["content"].replace("$", "\\$") + + return sender_names, messages_for_rendering From 57d9668e59fed4574d62a1f22a7c0ea9f463f794 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Thu, 13 Mar 2025 16:55:10 -0400 Subject: [PATCH 07/18] fix a agent model bug --- sotopia/api/websocket_utils.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index 1e7e39250..fa77f9b69 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -175,9 +175,9 @@ def __init__( AgentProfile(**agent_profile_dict) for agent_profile_dict in agent_profile_dicts ] - self.agent_models = agent_models - self.evaluator_model = evaluator_model - self.evaluation_dimension_list_name = evaluation_dimension_list_name + self.agent_models = agent_models + self.evaluator_model = evaluator_model + self.evaluation_dimension_list_name = evaluation_dimension_list_name self.connection_id = str(uuid.uuid4()) self.max_turns = max_turns From 7f501efb9783313cbc44ca8f036bba0e746c8ee5 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Thu, 13 Mar 2025 17:02:48 -0400 Subject: [PATCH 08/18] fix lower type error --- examples/experimental/sotopia_original_replica/simulate.py | 2 +- sotopia/experimental/envs/generate_executable.py | 4 ++-- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/experimental/sotopia_original_replica/simulate.py b/examples/experimental/sotopia_original_replica/simulate.py index e614e7248..f393d89c6 100644 --- a/examples/experimental/sotopia_original_replica/simulate.py +++ b/examples/experimental/sotopia_original_replica/simulate.py @@ -36,7 +36,7 @@ def main() -> None: episode_config = json.load(f) else: # Default configuration if no config file is provided - agent_ids = ["jack", "jill", "john"] + agent_ids = ["Jack", "Jill", "John"] # Create a default scenario scenario = "Just chat (finish the conversation in 2 turns)" agent_goals = ["Just chat"] * len(agent_ids) diff --git a/sotopia/experimental/envs/generate_executable.py b/sotopia/experimental/envs/generate_executable.py index e8c171518..a84c2aebc 100644 --- a/sotopia/experimental/envs/generate_executable.py +++ b/sotopia/experimental/envs/generate_executable.py @@ -25,9 +25,9 @@ def render_dict( output.append("[[{}]]".format(f"{prefix}.{key}")) output.append(render_dict(v, f"{prefix}.{key}.")) else: - output.append(f"{key} = {str(v).lower()}") + output.append(f"{key} = {str(v)}") elif isinstance(val, (str, int, float, bool)): - output.append(f'{key} = "{str(val).lower()}"') + output.append(f'{key} = "{str(val)}"') else: raise ValueError(f"Unsupported type {type(val)}") return "\n".join(output) From 199d872ede710961d001d80d6645a35fe7883077 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Thu, 20 Mar 2025 14:36:32 -0400 Subject: [PATCH 09/18] udpate doc --- examples/experimental/sotopia_original_replica/readme.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/examples/experimental/sotopia_original_replica/readme.md b/examples/experimental/sotopia_original_replica/readme.md index d3143bb1e..9eaa5fc5f 100644 --- a/examples/experimental/sotopia_original_replica/readme.md +++ b/examples/experimental/sotopia_original_replica/readme.md @@ -1,17 +1,17 @@ To run this example, please use aact to launch. ```bash -uv run python examples/experimental/sotopia_original_replica/simulate.py +python examples/experimental/sotopia_original_replica/simulate.py ``` this example can be also run in a web interface by running: ```bash -uv run fastapi run sotopia/api/fastapi_server.py --port 8080 +fastapi run sotopia/api/fastapi_server.py --port 8080 ``` Then in another terminal, run: ```bash -uv run python examples/experimental/sotopia_original_replica/websocket_simulation_client.py +python examples/experimental/sotopia_original_replica/websocket_simulation_client.py ``` You would see the msgs coming from the websocket server. From b4767a288390e334a5eab9b7b30f351b975c49a0 Mon Sep 17 00:00:00 2001 From: sani903 Date: Mon, 31 Mar 2025 11:13:10 -0400 Subject: [PATCH 10/18] working till just before agenerate --- docs/package-lock.json | 14740 ++++++++++++++++ .../llm_agent_sotopia.py | 23 +- sotopia/api/fastapi_server.py | 172 +- sotopia/api/websocket_utils.py | 295 +- sotopia/experimental/agents/datamodels.py | 3 +- sotopia/experimental/agents/moderator.py | 51 +- sotopia/experimental/agents/redis_agent.py | 201 +- .../envs/templates/multiagents.jinja2 | 13 +- sotopia/experimental/server.py | 2 +- sotopia/generation_utils/generate.py | 7 +- sotopia/generation_utils/output_parsers.py | 10 +- ..._3831484e-bc45-44ad-8a97-b9c2ea096485.toml | 95 + ..._a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml | 95 + ..._e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml | 95 + ..._f84823b3-d267-4e37-8131-dda86918c25b.toml | 95 + test_server.py | 128 + 16 files changed, 15750 insertions(+), 275 deletions(-) create mode 100644 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b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py index 6ccccb45b..ddb0b7a6d 100644 --- a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py +++ b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py @@ -83,7 +83,9 @@ async def aact(self, obs: Observation) -> AgentAction: agent_name=self.name, output_channel=self.output_channel, action_type="none", - argument="", + argument=json.dumps( + {"pk": self.agent_profile_pk, "model_name": self.model_name} + ), ) args = json.loads(obs.last_turn) self.set_profile(args["use_pk_value"]) @@ -104,7 +106,9 @@ async def aact(self, obs: Observation) -> AgentAction: agent_name=self.name, output_channel=self.output_channel, action_type="none", - argument="", + argument=json.dumps( + {"pk": self.agent_profile_pk, "model_name": self.model_name} + ), ) elif len(obs.available_actions) == 1 and "leave" in obs.available_actions: self.shutdown_event.set() @@ -116,21 +120,28 @@ async def aact(self, obs: Observation) -> AgentAction: ) else: history = self._format_message_history(self.message_history) - action: str = await agenerate( + to, action= await agenerate( model_name=self.model_name, template="Imagine that you are a friend of the other persons. Here is the " "conversation between you and them.\n" + "List of people involved: {all_agents}" "You are {agent_name} in the conversation.\n" "{message_history}\n" "and you plan to {goal}.\n" "You can choose to interrupt the other person " - "by saying something or not to interrupt by outputting notiong. What would you say? " - "Please only output a sentence or not outputting anything." + "by saying something or not interrupt by outputting nothing. What would you say? \n" + "If you choose to say something, before your output mention the person you want to talk to " + "or 'All' if you want to say something to everyone\n" + "For example, 'All: I am tired' if you want to address everyone or 'John Doe: I am tired' " + "if you want to address John Doe. If you choose to address a person, ensure they are in the list of " + "people involved\n" + "Please only output a sentence or do not output anything." "{format_instructions}", input_values={ "message_history": history, "goal": self.goal, "agent_name": self.name, + "all_agents": self.agents_str }, temperature=0.7, output_parser=StrOutputParser(), @@ -140,5 +151,5 @@ async def aact(self, obs: Observation) -> AgentAction: agent_name=self.name, output_channel=self.output_channel, action_type="speak", - argument=action, + argument=json.dumps({"action": action, "to":to}) ) diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index 6a46fcd2b..c616e08c2 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -28,8 +28,9 @@ EvaluationForTwoAgents, SotopiaDimensions, ) -from sotopia.server import arun_one_episode -from sotopia.agents import LLMAgent, Agents +from sotopia.experimental.server import arun_one_episode +from examples.experimental.sotopia_original_replica.llm_agent_sotopia import LLMAgent +from sotopia.agents import Agents from fastapi import ( FastAPI, WebSocket, @@ -53,8 +54,10 @@ import logging from fastapi.responses import Response -logger = logging.getLogger(__name__) +# Setup logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) # app = FastAPI() @@ -186,37 +189,108 @@ async def handle_client_message( ) -> bool: try: msg_type = message.get("type") + data = message.get("data", {}) if msg_type == WSMessageType.FINISH_SIM.value: return True - # TODO handle other message types + if msg_type == WSMessageType.CLIENT_MSG.value: + # Check if this is a message with content + if "content" in data: + message_content = data.get("content", "") + receiver = data.get("to", "") + if not message_content: + await self.send_error( + websocket, + ErrorType.INVALID_MESSAGE, + "Message must include content", + ) + return False + + # Forward to simulator + await simulator.send_message( + { + "content": message_content, + "sender": "redis_agent", + "receiver": receiver + } + ) return False except Exception as e: - msg = f"Error handling client message: {e}" - logger.error(msg) - await self.send_error(websocket, ErrorType.INVALID_MESSAGE, msg) + error_msg = f"Error handling client message: {e}" + logger.error(error_msg) + await self.send_error(websocket, ErrorType.INVALID_MESSAGE, error_msg) return False + async def run_simulation( self, websocket: WebSocket, simulator: WebSocketSotopiaSimulator ) -> None: + """Run the simulation and process client messages""" try: - async for message in simulator.arun(): - await self.send_message(websocket, WSMessageType.SERVER_MSG, message) + # Start the simulation tasks + sim_task = asyncio.create_task( + self._process_simulation(websocket, simulator) + ) + client_task = asyncio.create_task( + self._process_client_messages(websocket, simulator) + ) + + # Wait for either task to complete + done, pending = await asyncio.wait( + [sim_task, client_task], return_when=asyncio.FIRST_COMPLETED + ) + # Cancel the remaining task + for task in pending: + task.cancel() try: - data = await asyncio.wait_for(websocket.receive_json(), timeout=0.1) - if await self.handle_client_message(websocket, simulator, data): - break - except asyncio.TimeoutError: - continue + await task + except asyncio.CancelledError: + pass except Exception as e: msg = f"Error running simulation: {e}" logger.error(msg) await self.send_error(websocket, ErrorType.SIMULATION_ISSUE, msg) finally: + # Always send END_SIM message await self.send_message(websocket, WSMessageType.END_SIM, {}) + async def _process_simulation( + self, + websocket: WebSocket, + simulator: WebSocketSotopiaSimulator, + ) -> None: + """ + Process the simulation by running either the simulator epilogs or redis epilogs + + Args: + websocket: The WebSocket connection + simulator: The simulation manager + """ + try: + # Use the simulator's built-in arun generator to get messages + async for message in simulator.arun(): + await self.send_message(websocket, WSMessageType.SERVER_MSG, message) + except Exception as e: + logger.error(f"Error in simulation processor: {e}") + raise + + async def _process_client_messages( + self, websocket: WebSocket, simulator: WebSocketSotopiaSimulator + ) -> None: + """Process messages from the client""" + try: + while True: + data = await websocket.receive_json() + should_end = await self.handle_client_message( + websocket, simulator, data + ) + if should_end: + break + except Exception as e: + logger.error(f"Error processing client messages: {e}") + raise + @staticmethod async def send_message( websocket: WebSocket, msg_type: WSMessageType, data: dict[str, Any] @@ -713,29 +787,57 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: while True: start_msg = await websocket.receive_json() if start_msg.get("type") != WSMessageType.START_SIM.value: + await manager.send_error( + websocket, + ErrorType.INVALID_MESSAGE, + "First message must be of type START_SIM", + ) continue + sim_data = start_msg.get("data", {}) + env_id = sim_data.get("env_id", "") + agent_ids = sim_data.get("agent_ids", []) + async with manager.state.start_simulation(token): - simulator = await manager.create_simulator( - env_id=start_msg["data"]["env_id"], - agent_ids=start_msg["data"]["agent_ids"], - agent_models=start_msg["data"].get( - "agent_models", ["gpt-4o-mini", "gpt-4o-mini"] - ), - env_profile_dict=start_msg["data"].get( - "env_profile_dict", {} - ), - agent_profile_dicts=start_msg["data"].get( - "agent_profile_dicts", [] - ), - evaluator_model=start_msg["data"].get( - "evaluator_model", "gpt-4o" - ), - evaluation_dimension_list_name=start_msg["data"].get( - "evaluation_dimension_list_name", "sotopia" - ), - max_turns=start_msg["data"].get("max_turns", 20), - ) - await manager.run_simulation(websocket, simulator) + try: + # Create the simulator + simulator = await manager.create_simulator( + env_id=env_id, + agent_ids=agent_ids, + agent_models=sim_data.get( + "agent_models", ["gpt-4o-mini"] * len(agent_ids) + ), + evaluator_model=sim_data.get("evaluator_model", "gpt-4o"), + evaluation_dimension_list_name=sim_data.get( + "evaluation_dimension_list_name", "sotopia" + ), + env_profile_dict=sim_data.get("env_profile_dict", {}), + agent_profile_dicts=sim_data.get("agent_profile_dicts", []), + max_turns=sim_data.get("max_turns", 20), + ) + await simulator.connect_to_redis() + + # Initial message to client + await manager.send_message( + websocket, + WSMessageType.SERVER_MSG, + { + "status": "simulation_started", + "env_id": simulator.env_id, + "agent_ids": simulator.agent_ids, + "connection_id": simulator.connection_id, + }, + ) + logger.info("WebSocket start sim message confirmation sent.") + # Run the simulation + await manager.run_simulation(websocket, simulator) + + except Exception as e: + logger.error(f"Error creating or running simulator: {e}") + await manager.send_error( + websocket, + ErrorType.SIMULATION_ISSUE, + f"Error in simulation: {str(e)}", + ) except WebSocketDisconnect: logger.info(f"Client disconnected: {token}") diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index fa77f9b69..a0e2a7c19 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -12,12 +12,22 @@ EpisodeLog, EvaluationDimensionBuilder, ) -from sotopia.server import arun_one_episode +# from sotopia.server import arun_one_episode from enum import Enum -from typing import Type, TypedDict, Any, AsyncGenerator, List +from typing import Type, TypedDict, Any, AsyncGenerator, List, Dict from pydantic import BaseModel import uuid +from sotopia.experimental.server import arun_one_episode +import logging +from redis.asyncio import Redis +import json + + + +# Setup logging +logging.basicConfig(level=logging.INFO) +logger = logging.getLogger(__name__) class WSMessageType(str, Enum): @@ -150,9 +160,28 @@ def __init__( evaluator_model: str = "gpt-4o", evaluation_dimension_list_name: str = "sotopia", max_turns: int = 20, + redis_host: str = "localhost", + redis_port: int = 6379, + redis_db: int = 0, ) -> None: - if len(agent_ids) == 2: - try: + # Set common attributes regardless of number of agents + self.env_id = env_id + self.agent_ids = agent_ids + self.agent_models = agent_models + self.evaluator_model = evaluator_model + self.evaluation_dimension_list_name = evaluation_dimension_list_name + self.connection_id = str(uuid.uuid4()) + self.max_turns = max_turns + # Redis channel + self.command_channel = f"websocket:{self.connection_id}" + # Redis connection details + self.redis_url = f"redis://{redis_host}:{redis_port}/{redis_db}" + self.redis_client = None + # Initialize environment and agents + try: + # Use a unified approach for any number of agents + if not env_profile_dict and not agent_profile_dicts: + # Use the standard approach with database profiles self.env, self.agents, self.environment_messages = get_env_agents( env_id, agent_ids, @@ -160,138 +189,142 @@ def __init__( evaluator_model, evaluation_dimension_list_name, ) + else: + # Use provided profile dictionaries + self.env_profile = EnvironmentProfile(**env_profile_dict) + self.env_profile.save() + assert self.env_profile.pk is not None + self.env_id = self.env_profile.pk + self.agent_profiles = [ + AgentProfile(**agent_profile_dict) + for agent_profile_dict in agent_profile_dicts + ] + self.agent_ids = [] + for agent_profile in self.agent_profiles: + agent_profile.save() + assert agent_profile.pk is not None + self.agent_ids.append(agent_profile.pk) + except Exception as e: + logger.error(f"Error initializing environment or agents: {e}") + raise + + async def connect_to_redis(self) -> None: + """Establish connection to Redis and subscribe to channels""" + if self.redis_client is None: + try: + # Connect to Redis + self.redis_client = Redis.from_url(self.redis_url) + # Create pubsub interface + self.redis_pubsub = self.redis_client.pubsub() + + # Subscribe to epilog channel + await self.redis_pubsub.subscribe(self.command_channel) + logger.info(f"Subscribed to Redis channel: {self.command_channel}") except Exception as e: - raise Exception(f"Error in loading environment or agents profiles: {e}") - - for index, agent_name in enumerate(self.env.agents): - self.agents[agent_name].goal = self.env.profile.agent_goals[index] - else: - assert ( - env_profile_dict - ), "env_profile_dict must be provided if number of agents is greater than 2" - assert agent_profile_dicts, "agent_profile_dicts must be provided if number of agents is greater than 2" - self.env_profile = EnvironmentProfile(**env_profile_dict) - self.agent_profiles = [ - AgentProfile(**agent_profile_dict) - for agent_profile_dict in agent_profile_dicts - ] - self.agent_models = agent_models - self.evaluator_model = evaluator_model - self.evaluation_dimension_list_name = evaluation_dimension_list_name + logger.error(f"Error connecting to Redis: {e}") + raise - self.connection_id = str(uuid.uuid4()) - self.max_turns = max_turns + async def send_to_redis(self, message: Dict) -> None: + """ + Send a message to Redis for the RedisAgent - async def arun(self) -> AsyncGenerator[dict[str, Any], None]: - # Use sotopia to run the simulation - if len(self.agent_models) == 2: - generator = await arun_one_episode( - env=self.env, - agent_list=list(self.agents.values()), - push_to_db=False, - streaming=True, - ) - assert isinstance( - generator, AsyncGenerator - ), "generator should be async generator, but got {}".format(type(generator)) - - async for messages in generator: - reasoning, rewards = "", [0.0, 0.0] - if messages[-1][0][0] == "Evaluation": - reasoning = messages[-1][0][2].to_natural_language() - rewards = eval(messages[-2][0][2].to_natural_language()) - epilog = EpisodeLog( - environment=self.env.profile.pk, - agents=[agent.profile.pk for agent in self.agents.values()], - tag="test", - messages=[ - [ - (m[0], m[1], m[2].to_natural_language()) - for m in messages_in_turn - ] - for messages_in_turn in messages - ], - reasoning=reasoning, - rewards=rewards, - rewards_prompt="", - ).dict() - yield { - "type": "messages", - "messages": epilog, - } - elif len(self.agent_models) > 2: - multi_agent_generator: AsyncGenerator[dict[str, Any], None] = ( - arun_server_adaptor( - env=self.env_profile, - agent_list=self.agent_profiles, - agent_models=self.agent_models, - evaluator_model=self.evaluator_model, - evaluation_dimension_list_name=self.evaluation_dimension_list_name, - push_to_db=False, - streaming=True, - connection_id=self.connection_id, - max_turns=self.max_turns, - ) - ) - assert isinstance( - multi_agent_generator, AsyncGenerator - ), "generator should be async generator, but got {}".format( - type(multi_agent_generator) + Args: + message: The message to send + """ + try: + # Publish message to the command channel + print("From websocket") + print(message) + await self.redis_client.publish(self.command_channel, json.dumps(message)) + msg_type = message.get("type", "command") + content_preview = "" + if "content" in message: + content_preview = f": {message['content'][:30]}..." + elif "message" in message and "content" in message["message"]: + content_preview = f": {message['message']['content'][:30]}..." + logger.info( + f"[{self.connection_id}] Sent message type: {msg_type}{content_preview}" ) + except Exception as e: + logger.error(f"Error sending message to Redis: {e}") + + async def send_message(self, message: Dict) -> None: + """ + Send a regular message in full mode - async for message_data in multi_agent_generator: - yield { - "type": "messages", - "messages": message_data, + Args: + message: The message data containing: + - content: The message content + - sender: The sender (defaults to "redis_agent") + """ + # Validate message + if "content" not in message: + logger.error("Error: Message must contain 'content' field") + return + + # Set default sender if not provided + sender = message.get("sender", "redis_agent") + receiver = message.get("receiver", "all") + + # Create message payload for full mode + payload = {"message": {"content": message["content"], "sender": sender, "receiver":receiver}} + + # Send to RedisAgent via Redis + await self.send_to_redis(payload) + logger.info( + f"[{self.connection_id}] Sent full mode message: {message['content'][:30]}..." + ) + + def prepare_episode_config(self) -> Dict[str, Any]: + """ + Prepare the simulation configuration for arun_one_episode + + Returns: + Dict: Episode configuration + """ + # Base configuration + config = { + "redis_url": self.redis_url, + "extra_modules": [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + ], + "agent_node": "llm_agent", + "default_model": "gpt-4o-mini", + "evaluator_model": self.evaluator_model, + "use_pk_value": True, + "push_to_db": False, # TODO: check, do we need to push epilog to redis database? Probably not. + "evaluate_episode": False, + "max_turns": self.max_turns, + "scenario": self.env_profile.scenario, + "connection_id": self.connection_id, + "redis_url": self.redis_url, + "agents": [ + { + "name": profile.first_name, + "goal": self.env_profile.agent_goals[i], + "model_name": self.agent_models[i] + if i < len(self.agent_models) + else "gpt-4o-mini", + "agent_pk": profile.pk, + "background": {}, } - else: - raise ValueError("Number of agents must be 2 or greater") + for i, profile in enumerate(self.agent_profiles) + ], + } + return config + async def arun(self) -> AsyncGenerator[Dict[str, Any], None]: + """ + Run the simulation and yield message updates from the queue. -async def arun_server_adaptor( - env: EnvironmentProfile, - agent_list: List[AgentProfile], - agent_models: List[str], - evaluator_model: str, - evaluation_dimension_list_name: str, - max_turns: int = 20, - push_to_db: bool = True, - streaming: bool = False, - connection_id: str = "", -) -> AsyncGenerator[dict[str, Any], None]: - # Prepare episode configuration - from sotopia.experimental.server import arun_one_episode - - # TODO: Unify the API of the two agents - config_data = { - "redis_url": "redis://localhost:6379/0", - "extra_modules": [ - "examples.experimental.sotopia_original_replica.llm_agent_sotopia", - "sotopia.experimental.agents.redis_agent", - ], - "agent_node": "llm_agent", - "default_model": "gpt-4o-mini", - "evaluator_model": evaluator_model, - "use_pk_value": False, - "push_to_db": push_to_db, - "evaluate_episode": False, - "max_turns": max_turns, - "scenario": env.scenario, - "agents": [ - { - "name": agent.first_name, - "goal": env.agent_goals[i] if i < len(env.agent_goals) else "", - "model_name": agent_models[i] - if i < len(agent_models) - else "gpt-4o-mini", - "background": agent.dict(), - } - for i, agent in enumerate(agent_list) - ], - } - # Use the arun_one_episode function from server.py - async for episode_data in arun_one_episode( - episode_config=config_data, - connection_id=connection_id, - ): - yield episode_data + Yields: + dict: Message data for the WebSocket client + """ + # Reset control flags + episode_config = self.prepare_episode_config() + + # Use the new arun_one_episode function + from sotopia.experimental.server import arun_one_episode + + async for message in arun_one_episode(episode_config, self.connection_id): + yield message diff --git a/sotopia/experimental/agents/datamodels.py b/sotopia/experimental/agents/datamodels.py index e20fd6378..3e414b550 100644 --- a/sotopia/experimental/agents/datamodels.py +++ b/sotopia/experimental/agents/datamodels.py @@ -33,7 +33,8 @@ def to_natural_language(self) -> str: case "none": return f"{self.agent_name} did nothing." case "speak": - return f'{self.agent_name} said: "{self.argument}"' + arg_data = json.loads(self.argument) + return f'{self.agent_name} said: "{arg_data.get("action", "")}" to "{arg_data.get("to", "all")}"' case "non-verbal communication": return f'{self.agent_name} {self.action_type}: "{self.argument}"' case "action": diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index 8f1bc002b..f603824ae 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -41,17 +41,17 @@ def __init__( available_actions: list[ActionType] = [ "none", "speak", - "non-verbal communication", - "action", + # "non-verbal communication", + # "action", "leave", ], max_turns: int = 20, push_to_db: bool = False, use_pk_value: bool = False, evaluate_episode: bool = False, - redis_agent_as_actor: bool = False, + redis_agent_as_actor: bool = True, ) -> None: - print([(channel[0], AgentAction) for channel in evaluator_channels]) + # print([(channel[0], AgentAction) for channel in evaluator_channels]) super().__init__( input_channel_types=[ (input_channel, AgentAction) for input_channel in input_channels @@ -152,6 +152,7 @@ async def send_observations(self, observations: Observations) -> None: ).model_dump_json() await self.send(output_channel, message_json) + async def send_epilog(self, epilog: EpisodeLog, output_channel: str) -> None: """Send the epilog to other agents""" message_json = Message[Observation]( @@ -179,6 +180,7 @@ async def _task_scheduler(self) -> None: agent_action = await self.observation_queue.get() action_or_none = await self.astep(agent_action) if action_or_none is not None: + await self.send_observations(action_or_none) self.observation_queue.task_done() @@ -208,9 +210,18 @@ async def booting(self) -> None: agent_action = await self.observation_queue.get() if not self.agents_awake[agent_action.agent_name]: self.agents_awake[agent_action.agent_name] = True - args: dict[str, Any] = json.loads(agent_action.argument) - self.agents_pk[agent_action.agent_name] = args["pk"] - self.agent_models[agent_action.agent_name] = args["model_name"] + if agent_action.agent_name == "redis_agent": + try: + args: dict[str, Any] = json.loads(agent_action.argument) + self.agents_pk[agent_action.agent_name] = args["pk"] + self.agent_models[agent_action.agent_name] = args["model_name"] + except: + self.agents_pk[agent_action.agent_name] = "redis" + self.agent_models[agent_action.agent_name] = "redis" + else: + args: dict[str, Any] = json.loads(agent_action.argument) + self.agents_pk[agent_action.agent_name] = args["pk"] + self.agent_models[agent_action.agent_name] = args["model_name"] if False not in self.agents_awake.values(): self.all_agents_awake.set() print("All agents are now awake and ready") @@ -218,7 +229,6 @@ async def booting(self) -> None: # TODO: remove this once we have a better way to handle the redis_agent if not self.redis_agent_as_actor: self.remove_redis_as_actor() - self.epilog = EpisodeLog( environment=self.scenario, agents=list(self.agents_pk.values()), @@ -236,7 +246,7 @@ async def booting(self) -> None: agent_name="moderator", last_turn=self.scenario, turn_number=0, - available_actions=self.available_actions + available_actions=["none"] if agent_name == self.agents[0] else ["none"], ) @@ -296,12 +306,19 @@ async def aeval(self, epilog: EpisodeLog) -> EpisodeLog: async def astep(self, agent_action: AgentAction) -> Observations | None: # message (sender, receivers (seperated by comma), message content) + + arg_data = json.loads(agent_action.argument) + receiver = arg_data.get("to", "all") + if agent_action.action_type == "speak": + event = f'{agent_action.agent_name} said: "{arg_data.get("action", "")}" to "{arg_data.get("to", "all")}"' + else: + event = agent_action.to_natural_language() self.epilog.messages.append( [ ( agent_action.agent_name, - "Environment", - agent_action.to_natural_language(), + receiver, + event, ) ] ) @@ -316,7 +333,6 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: return None if agent_action.action_type == "none": return None - await self.send_epilog(self.epilog, "moderator:redis_agent") if self.turn_number < self.max_turns: @@ -333,22 +349,25 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: for output_channel, agent_name in self.agent_mapping.items() } ) - + receiver = receiver.lower() observations_map: dict[str, Observation] = {} for output_channel, _ in self.output_channel_types.items(): agent_name = self.agent_mapping[output_channel] available_actions = ["none"] - if self.action_order == "round-robin": + if agent_name.lower() != receiver and receiver != "all": + continue + elif receiver == "all" and self.action_order == "round-robin": if agent_name == self.agents[self.current_agent_index]: available_actions = list(self.available_actions) print(f"available_actions: {available_actions}") + else: + available_actions = list(self.available_actions) observation = Observation( agent_name=agent_name, - last_turn=agent_action.to_natural_language(), + last_turn=event, turn_number=self.turn_number, available_actions=available_actions, ) observations_map[output_channel] = observation - self.current_agent_index = (self.current_agent_index + 1) % len(self.agents) return Observations(observations_map=observations_map) diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index 4ce1a08a3..ebd246a93 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -58,79 +58,133 @@ def __init__( self.agent_profile_pk: str | None = agent_pk self.background: dict[str, Any] | None = background self.awake: bool = False - self.websocket_url = websocket_url - self.websocket_session: ClientSession | None = None - self.websocket: ClientWebSocketResponse | None = None + # self.websocket_url = websocket_url + # self.websocket_session: ClientSession | None = None + # self.websocket: ClientWebSocketResponse | None = None self.pubsub_channel = pubsub_channel - self.websocket_task: asyncio.Task[None] | None = None - self.last_websocket_message = None - self.websocket_wait_time = websocket_wait_time + # self.websocket_task: asyncio.Task[None] | None = None + # self.last_websocket_message = None + # self.websocket_wait_time = websocket_wait_time self.loop_interval = loop_interval self.shutdown_event = asyncio.Event() self.other_agent_status = other_agent_status + self.pending_actions: asyncio.Queue[Observation] = asyncio.Queue() + self.command_listener_task = None + self.websocket_prefix = "websocket:" # Prefix for listening to websocket commands + # self.start_command_listener() # We'll set up the websocket connection in setup_websocket # which will be called during the first aact call - - async def setup_websocket(self) -> None: - """Set up the websocket connection""" - if self.websocket_url and not self.websocket: - try: - self.websocket_session = aiohttp.ClientSession() - if self.websocket_session is not None: - self.websocket = await self.websocket_session.ws_connect( - self.websocket_url - ) - self.websocket_task = asyncio.create_task(self.listen_websocket()) - logger.info(f"Connected to websocket at {self.websocket_url}") - except Exception as e: - logger.error(f"Failed to connect to websocket: {e}") - - async def listen_websocket(self) -> None: - """Listen for messages from websocket (NOTE: This is mock implementation, to be further developed)""" - while not self.shutdown_event.is_set(): - try: - if self.websocket: - async for msg in self.websocket: - if msg.type == aiohttp.WSMsgType.TEXT: - message = msg.data - logger.info(f"Received message from websocket: {message}") - self.last_websocket_message = message - elif msg.type == aiohttp.WSMsgType.CLOSED: - logger.warning("Websocket connection closed") - break - elif msg.type == aiohttp.WSMsgType.ERROR: - logger.error(f"Websocket error: {msg.data}") - break - except Exception as e: - logger.error(f"Error in websocket listener: {e}") - - # Try to reconnect if connection was lost - if not self.shutdown_event.is_set(): - logger.warning("Websocket connection lost, trying to reconnect...") + + async def start_command_listener(self) -> None: + """Start listening for commands on Redis channels""" + if self.command_listener_task is None or self.command_listener_task.done(): + self.command_listener_task = asyncio.create_task(self._command_listener()) + print("Started Redis command listener task") + + async def _command_listener(self) -> None: + """Listen for commands from WebSocket clients via Redis""" + if not self.pubsub_channel: + print("No connection_id specified, command listener not started") + return + + pubsub = self.r.pubsub() + channel = f"{self.websocket_prefix}{self.pubsub_channel}" + + try: + # Subscribe to the websocket channel for this connection + await pubsub.subscribe(channel) + print(f"Subscribed to Redis channel from websocket: {channel}") + + while not self.shutdown_event.is_set(): try: - if self.websocket_session and self.websocket_session.closed: - self.websocket_session = aiohttp.ClientSession() - if self.websocket_session is not None: - self.websocket = await self.websocket_session.ws_connect( - self.websocket_url - ) - logger.info("Reconnected to websocket") + # Get the next message with a timeout + message = await asyncio.wait_for( + pubsub.get_message(ignore_subscribe_messages=True), + timeout=self.loop_interval, + ) + if message and message["type"] == "message": + # Process the command + try: + command_data = json.loads(message["data"].decode()) + print( + f"Received command from websocket: {command_data.get('type', 'unknown')}" + ) + try: + if "message" in command_data: + msg = command_data["message"] + + if not isinstance(msg, dict) or "content" not in msg: + print("Invalid message format") + return None + + sender = msg.get("sender", "redis_agent") + content = msg.get("content") + receiver = msg.get("receiver", "all") + + if receiver!="all": + print(f"Processing DM from {sender} to {receiver}") + else: + print(f"Broadcasting message from {sender}") + action = AgentAction( + agent_name=sender, + output_channel=self.output_channel, + action_type="speak", + argument=json.dumps({"action": content, "to":receiver}) + ) + except KeyError as e: + print(f"Missing key in command: {e}") + action = None + except Exception as e: + print(f"Error processing command: {e}") + action = None + + + if action: + await self.send(action) + # Add to pending actions queue + # await self.pending_actions.put(action) + + except json.JSONDecodeError: + print( + f"Failed to parse websocket command: {message['data'][:200]}..." + ) + except Exception as e: + print(f"Error processing websocket command: {e}") + + except asyncio.TimeoutError: + # No message available, continue + pass except Exception as e: - logger.error(f"Failed to reconnect to websocket: {e}") - self.websocket = None - await asyncio.sleep(1) # Wait before retrying + print(f"Error in command listener: {e}") + await asyncio.sleep(1) # Avoid tight loop on error + + except Exception as e: + print(f"Fatal error in command listener: {e}") + finally: + # Unsubscribe when done + await pubsub.unsubscribe(channel) + print("Command listener stopped") + async def publish_observation(self, obs: Observation) -> None: """Publish observation to Redis""" - obs_json = json.dumps(obs.model_dump()) - await self.r.publish(self.pubsub_channel, obs_json) + if not self.pubsub_channel: + print("No connection ID") + return + if obs.agent_name == "epilog": + print("Message is an epilog") + obs_json = json.dumps(obs.model_dump()) + print(f"The epilog object looks like: {self.obs_json}") + await self.r.publish(self.pubsub_channel, obs_json) + print(f"Published epilog update to {self.connection_id}") + else: + print(f"Non-epilog message received from {obs.agent_name}") + return async def aact(self, obs: Observation) -> AgentAction | None: - # Set up websocket on first call if needed - if self.websocket_url and not self.websocket_task: - await self.setup_websocket() - - await self.publish_observation(obs) + if not self.command_listener_task: + print("Redis connection not initialized from redis_agent") + await self.start_command_listener() # Handle initialization message if obs.turn_number == -1: print(f"self.awake: {self.awake}") @@ -139,7 +193,7 @@ async def aact(self, obs: Observation) -> AgentAction | None: agent_name=self.node_name, output_channel=self.output_channel, action_type="none", - argument="", + argument={"pk": "redis", "model_name": "redis"}, ) self.awake = True return AgentAction( @@ -148,6 +202,9 @@ async def aact(self, obs: Observation) -> AgentAction | None: action_type="none", argument=json.dumps({"pk": "redis", "model_name": "redis"}), ) + await self.publish_observation(obs) + if obs.agent_name != "moderator": + sys.exit(0) for agent_name in self.other_agent_status.keys(): if f"{agent_name} left." in obs.last_turn: self.other_agent_status[agent_name] = False @@ -157,15 +214,13 @@ async def aact(self, obs: Observation) -> AgentAction | None: # Append to message history self.message_history.append(obs) - if self.websocket_url: - """ - TODO: Implement websocket message handling - """ - # Default action if no websocket message is available - return AgentAction( - agent_name=self.node_name, - output_channel=self.output_channel, - action_type="none", - argument="", - ) - return None + if not self.pending_actions.empty(): + action = await self.pending_actions.get() + return action + + return AgentAction( + agent_name=self.node_name, + output_channel=self.output_channel, + action_type="none", + argument={"pk": "redis", "model_name": "redis"}, + ) diff --git a/sotopia/experimental/envs/templates/multiagents.jinja2 b/sotopia/experimental/envs/templates/multiagents.jinja2 index c21135dae..c5ebf368a 100644 --- a/sotopia/experimental/envs/templates/multiagents.jinja2 +++ b/sotopia/experimental/envs/templates/multiagents.jinja2 @@ -1,4 +1,4 @@ -redis_url = "redis://localhost:6379/0" +redis_url = "{{redis_url}}" extra_modules = [{% for ins in extra_modules %} "{{ ins }}",{% endfor %} "sotopia.experimental.envs.utility_nodes.chat_print_node", @@ -36,6 +36,7 @@ input_channels = ["moderator:{{agent.name}}"] output_channel = "{{agent.name}}:moderator" goal = "{{agent.goal}}" model_name = "{{agent.model_name if agent.model_name is defined else default_model}}" +{% set agents_str = agents | map(attribute='name') | join(', ') %} {% if agent.agent_pk is defined%} agent_pk = "{{agent.agent_pk}}" {% else %} @@ -50,14 +51,13 @@ agent_name = "{{agent.name}}" node_name = "chat_print" node_class = "chat_print" -[nodes.node_args.print_channel_types]{% for agent in agents %} -"{{agent.name}}:moderator" = "agent_action"{% endfor %} - [nodes.node_args] +print_channel_types = { {% for agent in agents %}"{{agent.name}}:moderator" = "agent_action"{% if not loop.last %},{% endif %}{% endfor %}} env_agents = [{% for agent in agents %} "{{ agent.name }}"{% if not loop.last %},{% endif %}{% endfor %} ] + [[nodes]] node_name = "evaluator" node_class = "evaluator" @@ -75,7 +75,4 @@ node_class = "redis_agent" input_channels = ["moderator:redis_agent"] output_channel = "redis_agent:moderator" pubsub_channel = "{{connection_id}}" - -[nodes.node_args.other_agent_status] -{% for agent in agents %} -"{{ agent.name }}" = true{% if not loop.last %}{% endif %}{% endfor %} +other_agent_status = { {% for agent in agents %}"{{agent.name}}" = true{% if not loop.last %},{% endif %}{% endfor %}} diff --git a/sotopia/experimental/server.py b/sotopia/experimental/server.py index a02fe3ba9..8c82d50f0 100644 --- a/sotopia/experimental/server.py +++ b/sotopia/experimental/server.py @@ -1,12 +1,12 @@ from typing import AsyncGenerator, Any import asyncio +import os import redis import json from sotopia.experimental.envs import generate_executable import uuid import logging from rich import print -import os # Add import for os module from rich.logging import RichHandler # Configure logger diff --git a/sotopia/generation_utils/generate.py b/sotopia/generation_utils/generate.py index 12b28f544..e91092336 100644 --- a/sotopia/generation_utils/generate.py +++ b/sotopia/generation_utils/generate.py @@ -2,7 +2,7 @@ import os from litellm import acompletion from typing import cast - +import sys import gin from beartype import beartype @@ -152,7 +152,7 @@ async def agenerate( result = response.choices[0].message.content try: - parsed_result = output_parser.parse(result) + to, parsed_result = output_parser.parse(result) except Exception as e: if isinstance(output_parser, ScriptOutputParser): raise e @@ -168,9 +168,10 @@ async def agenerate( use_fixed_model_version, ) parsed_result = output_parser.parse(reformat_result) + to = "all" log.info(f"Generated result: {parsed_result}") - return parsed_result + return to, parsed_result @gin.configurable diff --git a/sotopia/generation_utils/output_parsers.py b/sotopia/generation_utils/output_parsers.py index 86addcc85..8efa1460f 100644 --- a/sotopia/generation_utils/output_parsers.py +++ b/sotopia/generation_utils/output_parsers.py @@ -64,7 +64,15 @@ def get_format_instructions(self) -> str: class StrOutputParser(OutputParser[str]): def parse(self, result: str) -> str: - return result + try: + to, content = result.split(":", 1) + to = to.strip().lower() # Remove extra spaces + content = content.strip() + except: + print("Unable to parse the receiver") + to = "all" + content = result + return to, result def get_format_instructions(self) -> str: return "" diff --git a/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml b/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml new file mode 100644 index 000000000..598acad6f --- /dev/null +++ b/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml @@ -0,0 +1,95 @@ +redis_url = "redis://localhost:6379/0" +extra_modules = [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + "sotopia.experimental.envs.utility_nodes.chat_print_node", + "sotopia.experimental.agents.moderator", + "sotopia.experimental.agents.evaluators", + "sotopia.experimental.agents.redis_agent" +] + + +[[nodes]] +node_name = "moderator" +node_class = "moderator" +[nodes.node_args] +output_channels = [ + "moderator:Li", + "moderator:Sarah", + "moderator:redis_agent" +] +input_channels = [ + "Li:moderator", + "Sarah:moderator", + "redis_agent:moderator" +] +evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] +agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} +scenario = "People are working in a startup communicating with an AI agent working with them." +max_turns = 20 +push_to_db = false +evaluate_episode = false +use_pk_value = true + + +[[nodes]] +node_name = "Li" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Li"] +output_channel = "Li:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." +model_name = "gpt-4o" + + +agent_pk = "01JQP91SP0RD5XABRGWRF2WSA6" + + + +[[nodes]] +node_name = "Sarah" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Sarah"] +output_channel = "Sarah:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." +model_name = "gpt-4o" + + +agent_pk = "01JQP91SP06EPAX81PW5KC2HWX" + + + + +[[nodes]] +node_name = "chat_print" +node_class = "chat_print" + +[nodes.node_args] +print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} +env_agents = [ + "Li", + "Sarah", + "redis_agent" +] + + +[[nodes]] +node_name = "evaluator" +node_class = "evaluator" + +[nodes.node_args] +input_channels = ["moderator:evaluator"] +output_channels = ["evaluator:moderator"] +model_name = "gpt-4o" + +[[nodes]] +node_name = "redis_agent" +node_class = "redis_agent" + +[nodes.node_args] +input_channels = ["moderator:redis_agent"] +output_channel = "redis_agent:moderator" +pubsub_channel = "3831484e-bc45-44ad-8a97-b9c2ea096485" +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file diff --git a/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml b/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml new file mode 100644 index 000000000..30ce741af --- /dev/null +++ b/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml @@ -0,0 +1,95 @@ +redis_url = "redis://localhost:6379/0" +extra_modules = [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + "sotopia.experimental.envs.utility_nodes.chat_print_node", + "sotopia.experimental.agents.moderator", + "sotopia.experimental.agents.evaluators", + "sotopia.experimental.agents.redis_agent" +] + + +[[nodes]] +node_name = "moderator" +node_class = "moderator" +[nodes.node_args] +output_channels = [ + "moderator:Li", + "moderator:Sarah", + "moderator:redis_agent" +] +input_channels = [ + "Li:moderator", + "Sarah:moderator", + "redis_agent:moderator" +] +evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] +agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} +scenario = "People are working in a startup communicating with an AI agent working with them." +max_turns = 20 +push_to_db = false +evaluate_episode = false +use_pk_value = true + + +[[nodes]] +node_name = "Li" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Li"] +output_channel = "Li:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." +model_name = "gpt-4o" + + +agent_pk = "01JQPC1G68SJZNJP9V6WKMJVJ1" + + + +[[nodes]] +node_name = "Sarah" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Sarah"] +output_channel = "Sarah:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." +model_name = "gpt-4o" + + +agent_pk = "01JQPC1G68B1STVRZ01R622DMJ" + + + + +[[nodes]] +node_name = "chat_print" +node_class = "chat_print" + +[nodes.node_args] +print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} +env_agents = [ + "Li", + "Sarah", + "redis_agent" +] + + +[[nodes]] +node_name = "evaluator" +node_class = "evaluator" + +[nodes.node_args] +input_channels = ["moderator:evaluator"] +output_channels = ["evaluator:moderator"] +model_name = "gpt-4o" + +[[nodes]] +node_name = "redis_agent" +node_class = "redis_agent" + +[nodes.node_args] +input_channels = ["moderator:redis_agent"] +output_channel = "redis_agent:moderator" +pubsub_channel = "a3434ae7-ec8a-4a7f-8b62-3d51ba08435e" +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file diff --git a/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml b/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml new file mode 100644 index 000000000..7646cfe9f --- /dev/null +++ b/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml @@ -0,0 +1,95 @@ +redis_url = "redis://localhost:6379/0" +extra_modules = [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + "sotopia.experimental.envs.utility_nodes.chat_print_node", + "sotopia.experimental.agents.moderator", + "sotopia.experimental.agents.evaluators", + "sotopia.experimental.agents.redis_agent" +] + + +[[nodes]] +node_name = "moderator" +node_class = "moderator" +[nodes.node_args] +output_channels = [ + "moderator:Li", + "moderator:Sarah", + "moderator:redis_agent" +] +input_channels = [ + "Li:moderator", + "Sarah:moderator", + "redis_agent:moderator" +] +evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] +agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} +scenario = "People are working in a startup communicating with an AI agent working with them." +max_turns = 20 +push_to_db = false +evaluate_episode = false +use_pk_value = true + + +[[nodes]] +node_name = "Li" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Li"] +output_channel = "Li:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." +model_name = "gpt-4o" + + +agent_pk = "01JQPB3EFPYWZTPG6SP4TV4SKH" + + + +[[nodes]] +node_name = "Sarah" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Sarah"] +output_channel = "Sarah:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." +model_name = "gpt-4o" + + +agent_pk = "01JQPB3EFPESQ380VB99TVJMC3" + + + + +[[nodes]] +node_name = "chat_print" +node_class = "chat_print" + +[nodes.node_args] +print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} +env_agents = [ + "Li", + "Sarah", + "redis_agent" +] + + +[[nodes]] +node_name = "evaluator" +node_class = "evaluator" + +[nodes.node_args] +input_channels = ["moderator:evaluator"] +output_channels = ["evaluator:moderator"] +model_name = "gpt-4o" + +[[nodes]] +node_name = "redis_agent" +node_class = "redis_agent" + +[nodes.node_args] +input_channels = ["moderator:redis_agent"] +output_channel = "redis_agent:moderator" +pubsub_channel = "e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b" +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file diff --git a/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml b/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml new file mode 100644 index 000000000..327495275 --- /dev/null +++ b/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml @@ -0,0 +1,95 @@ +redis_url = "redis://localhost:6379/0" +extra_modules = [ + "examples.experimental.sotopia_original_replica.llm_agent_sotopia", + "sotopia.experimental.envs.utility_nodes.chat_print_node", + "sotopia.experimental.agents.moderator", + "sotopia.experimental.agents.evaluators", + "sotopia.experimental.agents.redis_agent" +] + + +[[nodes]] +node_name = "moderator" +node_class = "moderator" +[nodes.node_args] +output_channels = [ + "moderator:Li", + "moderator:Sarah", + "moderator:redis_agent" +] +input_channels = [ + "Li:moderator", + "Sarah:moderator", + "redis_agent:moderator" +] +evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] +agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} +scenario = "People are working in a startup communicating with an AI agent working with them." +max_turns = 20 +push_to_db = false +evaluate_episode = false +use_pk_value = true + + +[[nodes]] +node_name = "Li" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Li"] +output_channel = "Li:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." +model_name = "gpt-4o" + + +agent_pk = "01JQP974SH2T6DV0TEJAVJYNCG" + + + +[[nodes]] +node_name = "Sarah" +node_class = "llm_agent" + +[nodes.node_args] +input_channels = ["moderator:Sarah"] +output_channel = "Sarah:moderator" +goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." +model_name = "gpt-4o" + + +agent_pk = "01JQP974SJ5V2RA53KQDA28BFE" + + + + +[[nodes]] +node_name = "chat_print" +node_class = "chat_print" + +[nodes.node_args] +print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} +env_agents = [ + "Li", + "Sarah", + "redis_agent" +] + + +[[nodes]] +node_name = "evaluator" +node_class = "evaluator" + +[nodes.node_args] +input_channels = ["moderator:evaluator"] +output_channels = ["evaluator:moderator"] +model_name = "gpt-4o" + +[[nodes]] +node_name = "redis_agent" +node_class = "redis_agent" + +[nodes.node_args] +input_channels = ["moderator:redis_agent"] +output_channel = "redis_agent:moderator" +pubsub_channel = "f84823b3-d267-4e37-8131-dda86918c25b" +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file diff --git a/test_server.py b/test_server.py new file mode 100644 index 000000000..eb6b08b4f --- /dev/null +++ b/test_server.py @@ -0,0 +1,128 @@ +import aiohttp +import asyncio +import uuid + +ap1 = { + "first_name": "Li", + "last_name": "", + "age": 35, + "occupation": "Database Team Project Manager", + "gender": "Man", + "gender_pronoun": "He/Him", + "public_info": "Responsibilities: Managing database projects, resource coordination, ensuring timely delivery; Project: JanusGraph (Graph Database); Skills: Java, distributed systems", +} + +ap1_scenario = { + "extra_info": "You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent.", + "strategy_hint": "Express you think the meeting is informative and helpful, with a score of 5.", +} + +ap2 = { + "first_name": "Sarah", + "last_name": "", + "age": 42, + "occupation": "CTO", + "gender": "Woman", + "gender_pronoun": "She/Her", + "public_info": "Responsibilities: Technical strategy planning, R&D team leadership, new technology assessment; Project: Oversees all technical projects; Skills: N/A", +} + +ap2_scenario = { + "extra_info": "You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent.", + "strategy_hint": "Express you think the meeting is not informative and helpful, with a score of 2.", +} + +ap1_goal = ( + "You goal is to collaborate with AI agent in the working space." + + " " + + ap1_scenario["extra_info"] + + "" + + " " + + ap1_scenario["strategy_hint"] + + "" +) + +ap2_goal = ( + "You goal is to collaborate with AI agent in the working space." + + " " + + ap2_scenario["extra_info"] + + "" + + " " + + ap2_scenario["strategy_hint"] + + "" +) + +env_profile = { + "codename": str(uuid.uuid1()), + "scenario": "People are working in a startup communicating with an AI agent working with them.", + "agent_goals": [ap1_goal, ap2_goal], +} +print(env_profile) +FAST_API_URL = "http://localhost:8080/" + + +async def main(): + TOKEN = str(uuid.uuid4()) + WS_URL = f"ws://localhost:8080/ws/simulation?token={TOKEN}" + + async with aiohttp.ClientSession() as session: + async with session.ws_connect(WS_URL) as ws: + print(f"Client connected to {WS_URL}") + + # Send initial message + # Note: You'll need to implement the logic to get agent_ids and env_id + # This is just an example structure + + start_message = { + "type": "START_SIM", + "data": { + "agent_models": ["gpt-4o"] * 2, + "env_profile_dict": env_profile, + "agent_profile_dicts": [ap1, ap2], + }, + } + await ws.send_json(start_message) + print("Client: Sent START_SIM message") + confirmation_msg = await ws.receive_json() + print(confirmation_msg) + msg = confirmation_msg["data"] + agent_ids = msg["agent_ids"] + env_id = msg["env_id"] + feedback1_msg = { + "type": "CLIENT_MSG", + "data": { + "content": "Hi Li Ming! Please provide feedback for the all hands meeting.", + "to": "Li", + }, + } + await ws.send_json(feedback1_msg) + print("Client: Sent feedback1 message") + await asyncio.sleep(15) + await ws.send_json(feedback1_msg) + print("Client: Sent feedback1 message") + msg = await ws.receive_json() + print(msg) + + feedback2_msg = { + "type": "CLIENT_MSG", + "data": { + "content": "Hi Sarah! Please provide feedback for the all hands meeting.", + "target_agents": [agent_ids[1]], + }, + } + await ws.send_json(feedback2_msg) + print("Client: Sent feedback2 message") + msg = await ws.receive_json() + print(msg) + # Receive and process messages + async for msg in ws: + print(msg) + pass + + +if __name__ == "__main__": + try: + asyncio.run(main()) + except KeyboardInterrupt: + print("\nShutting down clients...") + exit() From 0494405060a50b86d7197a0e9ffa6425ca076f72 Mon Sep 17 00:00:00 2001 From: "autofix-ci[bot]" <114827586+autofix-ci[bot]@users.noreply.github.com> Date: Mon, 31 Mar 2025 17:18:37 +0000 Subject: [PATCH 11/18] [autofix.ci] apply automated fixes --- .../llm_agent_sotopia.py | 6 ++-- sotopia/api/fastapi_server.py | 15 ++++++---- sotopia/api/websocket_utils.py | 18 +++++++----- sotopia/experimental/agents/moderator.py | 8 ++--- sotopia/experimental/agents/redis_agent.py | 29 +++++++++++-------- .../envs/templates/multiagents.jinja2 | 2 +- sotopia/generation_utils/generate.py | 1 - ..._3831484e-bc45-44ad-8a97-b9c2ea096485.toml | 8 ++--- ..._a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml | 8 ++--- ..._e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml | 8 ++--- ..._f84823b3-d267-4e37-8131-dda86918c25b.toml | 8 ++--- 11 files changed, 61 insertions(+), 50 deletions(-) diff --git a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py index ddb0b7a6d..93621d7c1 100644 --- a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py +++ b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py @@ -120,7 +120,7 @@ async def aact(self, obs: Observation) -> AgentAction: ) else: history = self._format_message_history(self.message_history) - to, action= await agenerate( + to, action = await agenerate( model_name=self.model_name, template="Imagine that you are a friend of the other persons. Here is the " "conversation between you and them.\n" @@ -141,7 +141,7 @@ async def aact(self, obs: Observation) -> AgentAction: "message_history": history, "goal": self.goal, "agent_name": self.name, - "all_agents": self.agents_str + "all_agents": self.agents_str, }, temperature=0.7, output_parser=StrOutputParser(), @@ -151,5 +151,5 @@ async def aact(self, obs: Observation) -> AgentAction: agent_name=self.name, output_channel=self.output_channel, action_type="speak", - argument=json.dumps({"action": action, "to":to}) + argument=json.dumps({"action": action, "to": to}), ) diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index c616e08c2..a7bbb0c07 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -210,7 +210,7 @@ async def handle_client_message( { "content": message_content, "sender": "redis_agent", - "receiver": receiver + "receiver": receiver, } ) return False @@ -220,7 +220,6 @@ async def handle_client_message( await self.send_error(websocket, ErrorType.INVALID_MESSAGE, error_msg) return False - async def run_simulation( self, websocket: WebSocket, simulator: WebSocketSotopiaSimulator ) -> None: @@ -806,12 +805,16 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: agent_models=sim_data.get( "agent_models", ["gpt-4o-mini"] * len(agent_ids) ), - evaluator_model=sim_data.get("evaluator_model", "gpt-4o"), + evaluator_model=sim_data.get( + "evaluator_model", "gpt-4o" + ), evaluation_dimension_list_name=sim_data.get( "evaluation_dimension_list_name", "sotopia" ), env_profile_dict=sim_data.get("env_profile_dict", {}), - agent_profile_dicts=sim_data.get("agent_profile_dicts", []), + agent_profile_dicts=sim_data.get( + "agent_profile_dicts", [] + ), max_turns=sim_data.get("max_turns", 20), ) await simulator.connect_to_redis() @@ -827,7 +830,9 @@ async def websocket_endpoint(websocket: WebSocket, token: str) -> None: "connection_id": simulator.connection_id, }, ) - logger.info("WebSocket start sim message confirmation sent.") + logger.info( + "WebSocket start sim message confirmation sent." + ) # Run the simulation await manager.run_simulation(websocket, simulator) diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index a0e2a7c19..ede5b15bf 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -9,22 +9,19 @@ from sotopia.database import ( EnvironmentProfile, AgentProfile, - EpisodeLog, EvaluationDimensionBuilder, ) # from sotopia.server import arun_one_episode from enum import Enum -from typing import Type, TypedDict, Any, AsyncGenerator, List, Dict +from typing import Type, TypedDict, Any, AsyncGenerator, Dict from pydantic import BaseModel import uuid -from sotopia.experimental.server import arun_one_episode import logging from redis.asyncio import Redis import json - # Setup logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) @@ -264,10 +261,16 @@ async def send_message(self, message: Dict) -> None: # Set default sender if not provided sender = message.get("sender", "redis_agent") - receiver = message.get("receiver", "all") + receiver = message.get("receiver", "all") # Create message payload for full mode - payload = {"message": {"content": message["content"], "sender": sender, "receiver":receiver}} + payload = { + "message": { + "content": message["content"], + "sender": sender, + "receiver": receiver, + } + } # Send to RedisAgent via Redis await self.send_to_redis(payload) @@ -310,7 +313,7 @@ def prepare_episode_config(self) -> Dict[str, Any]: } for i, profile in enumerate(self.agent_profiles) ], - } + } return config async def arun(self) -> AsyncGenerator[Dict[str, Any], None]: @@ -324,7 +327,6 @@ async def arun(self) -> AsyncGenerator[Dict[str, Any], None]: episode_config = self.prepare_episode_config() # Use the new arun_one_episode function - from sotopia.experimental.server import arun_one_episode async for message in arun_one_episode(episode_config, self.connection_id): yield message diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index f603824ae..64fe14fd2 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -152,7 +152,6 @@ async def send_observations(self, observations: Observations) -> None: ).model_dump_json() await self.send(output_channel, message_json) - async def send_epilog(self, epilog: EpisodeLog, output_channel: str) -> None: """Send the epilog to other agents""" message_json = Message[Observation]( @@ -180,7 +179,6 @@ async def _task_scheduler(self) -> None: agent_action = await self.observation_queue.get() action_or_none = await self.astep(agent_action) if action_or_none is not None: - await self.send_observations(action_or_none) self.observation_queue.task_done() @@ -214,7 +212,9 @@ async def booting(self) -> None: try: args: dict[str, Any] = json.loads(agent_action.argument) self.agents_pk[agent_action.agent_name] = args["pk"] - self.agent_models[agent_action.agent_name] = args["model_name"] + self.agent_models[agent_action.agent_name] = args[ + "model_name" + ] except: self.agents_pk[agent_action.agent_name] = "redis" self.agent_models[agent_action.agent_name] = "redis" @@ -306,7 +306,7 @@ async def aeval(self, epilog: EpisodeLog) -> EpisodeLog: async def astep(self, agent_action: AgentAction) -> Observations | None: # message (sender, receivers (seperated by comma), message content) - + arg_data = json.loads(agent_action.argument) receiver = arg_data.get("to", "all") if agent_action.action_type == "speak": diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index ebd246a93..384b0b114 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -3,8 +3,6 @@ import asyncio import sys from rich.logging import RichHandler -import aiohttp -from aiohttp import ClientSession, ClientWebSocketResponse from aact import NodeFactory @@ -70,17 +68,19 @@ def __init__( self.other_agent_status = other_agent_status self.pending_actions: asyncio.Queue[Observation] = asyncio.Queue() self.command_listener_task = None - self.websocket_prefix = "websocket:" # Prefix for listening to websocket commands + self.websocket_prefix = ( + "websocket:" # Prefix for listening to websocket commands + ) # self.start_command_listener() # We'll set up the websocket connection in setup_websocket # which will be called during the first aact call - + async def start_command_listener(self) -> None: """Start listening for commands on Redis channels""" if self.command_listener_task is None or self.command_listener_task.done(): self.command_listener_task = asyncio.create_task(self._command_listener()) print("Started Redis command listener task") - + async def _command_listener(self) -> None: """Listen for commands from WebSocket clients via Redis""" if not self.pubsub_channel: @@ -113,7 +113,10 @@ async def _command_listener(self) -> None: if "message" in command_data: msg = command_data["message"] - if not isinstance(msg, dict) or "content" not in msg: + if ( + not isinstance(msg, dict) + or "content" not in msg + ): print("Invalid message format") return None @@ -121,15 +124,19 @@ async def _command_listener(self) -> None: content = msg.get("content") receiver = msg.get("receiver", "all") - if receiver!="all": - print(f"Processing DM from {sender} to {receiver}") + if receiver != "all": + print( + f"Processing DM from {sender} to {receiver}" + ) else: print(f"Broadcasting message from {sender}") action = AgentAction( agent_name=sender, output_channel=self.output_channel, action_type="speak", - argument=json.dumps({"action": content, "to":receiver}) + argument=json.dumps( + {"action": content, "to": receiver} + ), ) except KeyError as e: print(f"Missing key in command: {e}") @@ -138,7 +145,6 @@ async def _command_listener(self) -> None: print(f"Error processing command: {e}") action = None - if action: await self.send(action) # Add to pending actions queue @@ -165,7 +171,6 @@ async def _command_listener(self) -> None: await pubsub.unsubscribe(channel) print("Command listener stopped") - async def publish_observation(self, obs: Observation) -> None: """Publish observation to Redis""" if not self.pubsub_channel: @@ -217,7 +222,7 @@ async def aact(self, obs: Observation) -> AgentAction | None: if not self.pending_actions.empty(): action = await self.pending_actions.get() return action - + return AgentAction( agent_name=self.node_name, output_channel=self.output_channel, diff --git a/sotopia/experimental/envs/templates/multiagents.jinja2 b/sotopia/experimental/envs/templates/multiagents.jinja2 index c5ebf368a..867532dc4 100644 --- a/sotopia/experimental/envs/templates/multiagents.jinja2 +++ b/sotopia/experimental/envs/templates/multiagents.jinja2 @@ -36,7 +36,7 @@ input_channels = ["moderator:{{agent.name}}"] output_channel = "{{agent.name}}:moderator" goal = "{{agent.goal}}" model_name = "{{agent.model_name if agent.model_name is defined else default_model}}" -{% set agents_str = agents | map(attribute='name') | join(', ') %} +{% set agents_str = agents | map(attribute='name') | join(', ') %} {% if agent.agent_pk is defined%} agent_pk = "{{agent.agent_pk}}" {% else %} diff --git a/sotopia/generation_utils/generate.py b/sotopia/generation_utils/generate.py index e91092336..390b6a237 100644 --- a/sotopia/generation_utils/generate.py +++ b/sotopia/generation_utils/generate.py @@ -2,7 +2,6 @@ import os from litellm import acompletion from typing import cast -import sys import gin from beartype import beartype diff --git a/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml b/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml index 598acad6f..ee35a936f 100644 --- a/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml +++ b/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml @@ -12,7 +12,7 @@ extra_modules = [ node_name = "moderator" node_class = "moderator" [nodes.node_args] -output_channels = [ +output_channels = [ "moderator:Li", "moderator:Sarah", "moderator:redis_agent" @@ -40,7 +40,7 @@ input_channels = ["moderator:Li"] output_channel = "Li:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." model_name = "gpt-4o" - + agent_pk = "01JQP91SP0RD5XABRGWRF2WSA6" @@ -55,7 +55,7 @@ input_channels = ["moderator:Sarah"] output_channel = "Sarah:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." model_name = "gpt-4o" - + agent_pk = "01JQP91SP06EPAX81PW5KC2HWX" @@ -92,4 +92,4 @@ node_class = "redis_agent" input_channels = ["moderator:redis_agent"] output_channel = "redis_agent:moderator" pubsub_channel = "3831484e-bc45-44ad-8a97-b9c2ea096485" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} diff --git a/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml b/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml index 30ce741af..7632f12c4 100644 --- a/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml +++ b/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml @@ -12,7 +12,7 @@ extra_modules = [ node_name = "moderator" node_class = "moderator" [nodes.node_args] -output_channels = [ +output_channels = [ "moderator:Li", "moderator:Sarah", "moderator:redis_agent" @@ -40,7 +40,7 @@ input_channels = ["moderator:Li"] output_channel = "Li:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." model_name = "gpt-4o" - + agent_pk = "01JQPC1G68SJZNJP9V6WKMJVJ1" @@ -55,7 +55,7 @@ input_channels = ["moderator:Sarah"] output_channel = "Sarah:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." model_name = "gpt-4o" - + agent_pk = "01JQPC1G68B1STVRZ01R622DMJ" @@ -92,4 +92,4 @@ node_class = "redis_agent" input_channels = ["moderator:redis_agent"] output_channel = "redis_agent:moderator" pubsub_channel = "a3434ae7-ec8a-4a7f-8b62-3d51ba08435e" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} diff --git a/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml b/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml index 7646cfe9f..4932fd37c 100644 --- a/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml +++ b/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml @@ -12,7 +12,7 @@ extra_modules = [ node_name = "moderator" node_class = "moderator" [nodes.node_args] -output_channels = [ +output_channels = [ "moderator:Li", "moderator:Sarah", "moderator:redis_agent" @@ -40,7 +40,7 @@ input_channels = ["moderator:Li"] output_channel = "Li:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." model_name = "gpt-4o" - + agent_pk = "01JQPB3EFPYWZTPG6SP4TV4SKH" @@ -55,7 +55,7 @@ input_channels = ["moderator:Sarah"] output_channel = "Sarah:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." model_name = "gpt-4o" - + agent_pk = "01JQPB3EFPESQ380VB99TVJMC3" @@ -92,4 +92,4 @@ node_class = "redis_agent" input_channels = ["moderator:redis_agent"] output_channel = "redis_agent:moderator" pubsub_channel = "e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} diff --git a/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml b/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml index 327495275..8cbd8c244 100644 --- a/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml +++ b/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml @@ -12,7 +12,7 @@ extra_modules = [ node_name = "moderator" node_class = "moderator" [nodes.node_args] -output_channels = [ +output_channels = [ "moderator:Li", "moderator:Sarah", "moderator:redis_agent" @@ -40,7 +40,7 @@ input_channels = ["moderator:Li"] output_channel = "Li:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." model_name = "gpt-4o" - + agent_pk = "01JQP974SH2T6DV0TEJAVJYNCG" @@ -55,7 +55,7 @@ input_channels = ["moderator:Sarah"] output_channel = "Sarah:moderator" goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." model_name = "gpt-4o" - + agent_pk = "01JQP974SJ5V2RA53KQDA28BFE" @@ -92,4 +92,4 @@ node_class = "redis_agent" input_channels = ["moderator:redis_agent"] output_channel = "redis_agent:moderator" pubsub_channel = "f84823b3-d267-4e37-8131-dda86918c25b" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} \ No newline at end of file +other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} From 4d1d1690ebbbdc308d11c8ef9bedb01220c43772 Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Mon, 31 Mar 2025 15:14:27 -0400 Subject: [PATCH 12/18] fix simulation initialization and precommit --- sotopia/api/websocket_utils.py | 3 +-- sotopia/experimental/agents/datamodels.py | 1 + sotopia/experimental/agents/moderator.py | 3 ++- sotopia/generation_utils/output_parsers.py | 4 ++-- test_server.py | 1 - 5 files changed, 6 insertions(+), 6 deletions(-) diff --git a/sotopia/api/websocket_utils.py b/sotopia/api/websocket_utils.py index ede5b15bf..4b1b29afb 100644 --- a/sotopia/api/websocket_utils.py +++ b/sotopia/api/websocket_utils.py @@ -11,7 +11,7 @@ AgentProfile, EvaluationDimensionBuilder, ) -# from sotopia.server import arun_one_episode +from sotopia.experimental.server import arun_one_episode from enum import Enum from typing import Type, TypedDict, Any, AsyncGenerator, Dict @@ -300,7 +300,6 @@ def prepare_episode_config(self) -> Dict[str, Any]: "max_turns": self.max_turns, "scenario": self.env_profile.scenario, "connection_id": self.connection_id, - "redis_url": self.redis_url, "agents": [ { "name": profile.first_name, diff --git a/sotopia/experimental/agents/datamodels.py b/sotopia/experimental/agents/datamodels.py index 3e414b550..05d78131a 100644 --- a/sotopia/experimental/agents/datamodels.py +++ b/sotopia/experimental/agents/datamodels.py @@ -1,6 +1,7 @@ from sotopia.messages import ActionType from aact.messages import DataModel, DataModelFactory from pydantic import Field +import json @DataModelFactory.register("observation") diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index 64fe14fd2..f1bd3131a 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -215,7 +215,8 @@ async def booting(self) -> None: self.agent_models[agent_action.agent_name] = args[ "model_name" ] - except: + except Exception as e: + print(f"error in booting: {e}") self.agents_pk[agent_action.agent_name] = "redis" self.agent_models[agent_action.agent_name] = "redis" else: diff --git a/sotopia/generation_utils/output_parsers.py b/sotopia/generation_utils/output_parsers.py index 8efa1460f..fd023279d 100644 --- a/sotopia/generation_utils/output_parsers.py +++ b/sotopia/generation_utils/output_parsers.py @@ -68,8 +68,8 @@ def parse(self, result: str) -> str: to, content = result.split(":", 1) to = to.strip().lower() # Remove extra spaces content = content.strip() - except: - print("Unable to parse the receiver") + except Exception as e: + print(f"Unable to parse the receiver: {e}") to = "all" content = result return to, result diff --git a/test_server.py b/test_server.py index eb6b08b4f..1cf92a7f4 100644 --- a/test_server.py +++ b/test_server.py @@ -87,7 +87,6 @@ async def main(): print(confirmation_msg) msg = confirmation_msg["data"] agent_ids = msg["agent_ids"] - env_id = msg["env_id"] feedback1_msg = { "type": "CLIENT_MSG", "data": { From 2e117f98c22e4bebeddd550d07fc12abe249b9fe Mon Sep 17 00:00:00 2001 From: XuhuiZhou Date: Mon, 31 Mar 2025 16:13:38 -0400 Subject: [PATCH 13/18] logger to help debug --- .../llm_agent_sotopia.py | 79 +++++++++++-------- sotopia/experimental/agents/moderator.py | 26 ++++-- test_server.py | 1 + 3 files changed, 66 insertions(+), 40 deletions(-) diff --git a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py index 93621d7c1..ece2cdd46 100644 --- a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py +++ b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py @@ -19,13 +19,11 @@ pass # Configure logging -FORMAT = "%(asctime)s - %(levelname)s - %(name)s - %(message)s" -logging.basicConfig( - level=logging.WARNING, - format=FORMAT, - datefmt="[%X]", - handlers=[RichHandler()], -) +log = logging.getLogger("sotopia.llm_agent") +log.setLevel(logging.INFO) +# Prevent propagation to root logger +log.propagate = False +log.addHandler(RichHandler(rich_tracebacks=True, show_time=True)) @NodeFactory.register("llm_agent") @@ -120,32 +118,47 @@ async def aact(self, obs: Observation) -> AgentAction: ) else: history = self._format_message_history(self.message_history) - to, action = await agenerate( - model_name=self.model_name, - template="Imagine that you are a friend of the other persons. Here is the " - "conversation between you and them.\n" - "List of people involved: {all_agents}" - "You are {agent_name} in the conversation.\n" - "{message_history}\n" - "and you plan to {goal}.\n" - "You can choose to interrupt the other person " - "by saying something or not interrupt by outputting nothing. What would you say? \n" - "If you choose to say something, before your output mention the person you want to talk to " - "or 'All' if you want to say something to everyone\n" - "For example, 'All: I am tired' if you want to address everyone or 'John Doe: I am tired' " - "if you want to address John Doe. If you choose to address a person, ensure they are in the list of " - "people involved\n" - "Please only output a sentence or do not output anything." - "{format_instructions}", - input_values={ - "message_history": history, - "goal": self.goal, - "agent_name": self.name, - "all_agents": self.agents_str, - }, - temperature=0.7, - output_parser=StrOutputParser(), - ) + try: + response = await agenerate( + model_name=self.model_name, + template="Imagine that you are a friend of the other persons. Here is the " + "conversation between you and them.\n" + "List of people involved: {all_agents}" + "You are {agent_name} in the conversation.\n" + "{message_history}\n" + "and you plan to {goal}.\n" + "You can choose to interrupt the other person " + "by saying something or not interrupt by outputting nothing. What would you say? \n" + "If you choose to say something, before your output mention the person you want to talk to " + "or 'All' if you want to say something to everyone\n" + "For example, 'All: I am tired' if you want to address everyone or 'John Doe: I am tired' " + "if you want to address John Doe. If you choose to address a person, ensure they are in the list of " + "people involved\n" + "Please only output a sentence or do not output anything." + "{format_instructions}", + input_values={ + "message_history": history, + "goal": self.goal, + "agent_name": self.name, + "all_agents": self.agents_str, + }, + temperature=0.7, + output_parser=StrOutputParser(), + ) + except Exception as e: + log.error(f"Error generating response: {e}") + response = "" + if not response: + return AgentAction( + agent_name=self.name, + output_channel=self.output_channel, + action_type="none", + argument=json.dumps({"action": "", "to": "all"}), + ) + + parts = response.split(":", 1) + to = parts[0].strip() if len(parts) > 1 else "all" + action = parts[1].strip() if len(parts) > 1 else response.strip() return AgentAction( agent_name=self.name, diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index f1bd3131a..2c6d407dc 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -17,6 +17,16 @@ from sotopia.messages import ActionType from .logs import EpisodeLog +import logging +from rich.logging import RichHandler + +# Configure logger with rich formatting +log = logging.getLogger("sotopia.moderator") +log.setLevel(logging.INFO) +# Prevent propagation to root logger +log.propagate = False +log.addHandler(RichHandler(rich_tracebacks=True, show_time=True)) + @DataModelFactory.register("observations") class Observations(DataModel): @@ -183,7 +193,7 @@ async def _task_scheduler(self) -> None: self.observation_queue.task_done() async def booting(self) -> None: - print("Booting moderator and waiting for agents...") + log.info("Booting moderator and waiting for agents...") while not self.all_agents_awake.is_set(): await self.send_observations( Observations( @@ -202,7 +212,7 @@ async def booting(self) -> None: } ) ) - print("sent checking message to agents") + log.info("sent checking message to agents") await asyncio.sleep(0.2) while not self.observation_queue.empty(): agent_action = await self.observation_queue.get() @@ -220,12 +230,14 @@ async def booting(self) -> None: self.agents_pk[agent_action.agent_name] = "redis" self.agent_models[agent_action.agent_name] = "redis" else: - args: dict[str, Any] = json.loads(agent_action.argument) - self.agents_pk[agent_action.agent_name] = args["pk"] - self.agent_models[agent_action.agent_name] = args["model_name"] + agent_args: dict[str, Any] = json.loads(agent_action.argument) + self.agents_pk[agent_action.agent_name] = agent_args["pk"] + self.agent_models[agent_action.agent_name] = agent_args[ + "model_name" + ] if False not in self.agents_awake.values(): self.all_agents_awake.set() - print("All agents are now awake and ready") + log.info("All agents are now awake and ready") # TODO: remove this once we have a better way to handle the redis_agent if not self.redis_agent_as_actor: @@ -307,7 +319,7 @@ async def aeval(self, epilog: EpisodeLog) -> EpisodeLog: async def astep(self, agent_action: AgentAction) -> Observations | None: # message (sender, receivers (seperated by comma), message content) - + log.info(f"astep: {agent_action.model_dump_json()}") arg_data = json.loads(agent_action.argument) receiver = arg_data.get("to", "all") if agent_action.action_type == "speak": diff --git a/test_server.py b/test_server.py index 1cf92a7f4..d4840c3d5 100644 --- a/test_server.py +++ b/test_server.py @@ -94,6 +94,7 @@ async def main(): "to": "Li", }, } + await asyncio.sleep(3) await ws.send_json(feedback1_msg) print("Client: Sent feedback1 message") await asyncio.sleep(15) From 27c070a426b92c584b85f16b53c075797542d35c Mon Sep 17 00:00:00 2001 From: sani903 Date: Mon, 31 Mar 2025 19:39:43 -0400 Subject: [PATCH 14/18] Working til before redis_agent in return message --- .../llm_agent_sotopia.py | 11 +-- sotopia/experimental/agents/moderator.py | 2 +- sotopia/experimental/agents/redis_agent.py | 7 +- .../envs/templates/multiagents.jinja2 | 3 +- sotopia/generation_utils/output_parsers.py | 2 +- ..._3831484e-bc45-44ad-8a97-b9c2ea096485.toml | 95 ------------------- ..._a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml | 95 ------------------- ..._e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml | 95 ------------------- ..._f84823b3-d267-4e37-8131-dda86918c25b.toml | 95 ------------------- 9 files changed, 11 insertions(+), 394 deletions(-) delete mode 100644 temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml delete mode 100644 temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml delete mode 100644 temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml delete mode 100644 temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml diff --git a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py index ece2cdd46..8ec59e1de 100644 --- a/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py +++ b/examples/experimental/sotopia_original_replica/llm_agent_sotopia.py @@ -34,6 +34,7 @@ def __init__( output_channel: str, node_name: str, model_name: str, + agents_str: str, goal: str, agent_name: str = "", background: dict[str, Any] | None = None, @@ -47,6 +48,7 @@ def __init__( node_name, ) self.output_channel = output_channel + self.agents_str: str = agents_str self.count_ticks: int = 0 self.message_history: list[Observation] = [] self.goal: str = goal @@ -119,7 +121,7 @@ async def aact(self, obs: Observation) -> AgentAction: else: history = self._format_message_history(self.message_history) try: - response = await agenerate( + to, response = await agenerate( model_name=self.model_name, template="Imagine that you are a friend of the other persons. Here is the " "conversation between you and them.\n" @@ -155,14 +157,9 @@ async def aact(self, obs: Observation) -> AgentAction: action_type="none", argument=json.dumps({"action": "", "to": "all"}), ) - - parts = response.split(":", 1) - to = parts[0].strip() if len(parts) > 1 else "all" - action = parts[1].strip() if len(parts) > 1 else response.strip() - return AgentAction( agent_name=self.name, output_channel=self.output_channel, action_type="speak", - argument=json.dumps({"action": action, "to": to}), + argument=json.dumps({"action": response, "to": to}), ) diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index 2c6d407dc..ecdfe8f24 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -347,7 +347,6 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: if agent_action.action_type == "none": return None await self.send_epilog(self.epilog, "moderator:redis_agent") - if self.turn_number < self.max_turns: self.turn_number += 1 else: @@ -362,6 +361,7 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: for output_channel, agent_name in self.agent_mapping.items() } ) + receiver = receiver.lower() observations_map: dict[str, Observation] = {} for output_channel, _ in self.output_channel_types.items(): diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index 384b0b114..944afff97 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -26,7 +26,8 @@ handlers=[RichHandler()], ) -logger = logging.getLogger(__name__) +# log = logging.getLogger("sotopia.redis_agent") +# log.setLevel(logging.INFO) @NodeFactory.register("redis_agent") @@ -187,6 +188,7 @@ async def publish_observation(self, obs: Observation) -> None: return async def aact(self, obs: Observation) -> AgentAction | None: + # log.info(f"NOT REACHING: {obs}") if not self.command_listener_task: print("Redis connection not initialized from redis_agent") await self.start_command_listener() @@ -208,8 +210,6 @@ async def aact(self, obs: Observation) -> AgentAction | None: argument=json.dumps({"pk": "redis", "model_name": "redis"}), ) await self.publish_observation(obs) - if obs.agent_name != "moderator": - sys.exit(0) for agent_name in self.other_agent_status.keys(): if f"{agent_name} left." in obs.last_turn: self.other_agent_status[agent_name] = False @@ -222,7 +222,6 @@ async def aact(self, obs: Observation) -> AgentAction | None: if not self.pending_actions.empty(): action = await self.pending_actions.get() return action - return AgentAction( agent_name=self.node_name, output_channel=self.output_channel, diff --git a/sotopia/experimental/envs/templates/multiagents.jinja2 b/sotopia/experimental/envs/templates/multiagents.jinja2 index 867532dc4..96793b313 100644 --- a/sotopia/experimental/envs/templates/multiagents.jinja2 +++ b/sotopia/experimental/envs/templates/multiagents.jinja2 @@ -26,6 +26,7 @@ push_to_db = {{push_to_db | render_bool }} evaluate_episode = {{evaluate_episode | render_bool}} use_pk_value = {{use_pk_value | render_bool}} +{% set agents_str = agents | map(attribute='name') | join(', ') %} {% for agent in agents if agent.name != "redis_agent" %} [[nodes]] node_name = "{{agent.name}}" @@ -36,7 +37,7 @@ input_channels = ["moderator:{{agent.name}}"] output_channel = "{{agent.name}}:moderator" goal = "{{agent.goal}}" model_name = "{{agent.model_name if agent.model_name is defined else default_model}}" -{% set agents_str = agents | map(attribute='name') | join(', ') %} +agents_str = "{{ agents_str }}" {% if agent.agent_pk is defined%} agent_pk = "{{agent.agent_pk}}" {% else %} diff --git a/sotopia/generation_utils/output_parsers.py b/sotopia/generation_utils/output_parsers.py index fd023279d..c2445832e 100644 --- a/sotopia/generation_utils/output_parsers.py +++ b/sotopia/generation_utils/output_parsers.py @@ -72,7 +72,7 @@ def parse(self, result: str) -> str: print(f"Unable to parse the receiver: {e}") to = "all" content = result - return to, result + return to, content def get_format_instructions(self) -> str: return "" diff --git a/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml b/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml deleted file mode 100644 index ee35a936f..000000000 --- a/temp_config_3831484e-bc45-44ad-8a97-b9c2ea096485.toml +++ /dev/null @@ -1,95 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = [ - "examples.experimental.sotopia_original_replica.llm_agent_sotopia", - "sotopia.experimental.envs.utility_nodes.chat_print_node", - "sotopia.experimental.agents.moderator", - "sotopia.experimental.agents.evaluators", - "sotopia.experimental.agents.redis_agent" -] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" -[nodes.node_args] -output_channels = [ - "moderator:Li", - "moderator:Sarah", - "moderator:redis_agent" -] -input_channels = [ - "Li:moderator", - "Sarah:moderator", - "redis_agent:moderator" -] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} -scenario = "People are working in a startup communicating with an AI agent working with them." -max_turns = 20 -push_to_db = false -evaluate_episode = false -use_pk_value = true - - -[[nodes]] -node_name = "Li" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Li"] -output_channel = "Li:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." -model_name = "gpt-4o" - - -agent_pk = "01JQP91SP0RD5XABRGWRF2WSA6" - - - -[[nodes]] -node_name = "Sarah" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Sarah"] -output_channel = "Sarah:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." -model_name = "gpt-4o" - - -agent_pk = "01JQP91SP06EPAX81PW5KC2HWX" - - - - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args] -print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} -env_agents = [ - "Li", - "Sarah", - "redis_agent" -] - - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "gpt-4o" - -[[nodes]] -node_name = "redis_agent" -node_class = "redis_agent" - -[nodes.node_args] -input_channels = ["moderator:redis_agent"] -output_channel = "redis_agent:moderator" -pubsub_channel = "3831484e-bc45-44ad-8a97-b9c2ea096485" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} diff --git a/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml b/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml deleted file mode 100644 index 7632f12c4..000000000 --- a/temp_config_a3434ae7-ec8a-4a7f-8b62-3d51ba08435e.toml +++ /dev/null @@ -1,95 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = [ - "examples.experimental.sotopia_original_replica.llm_agent_sotopia", - "sotopia.experimental.envs.utility_nodes.chat_print_node", - "sotopia.experimental.agents.moderator", - "sotopia.experimental.agents.evaluators", - "sotopia.experimental.agents.redis_agent" -] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" -[nodes.node_args] -output_channels = [ - "moderator:Li", - "moderator:Sarah", - "moderator:redis_agent" -] -input_channels = [ - "Li:moderator", - "Sarah:moderator", - "redis_agent:moderator" -] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} -scenario = "People are working in a startup communicating with an AI agent working with them." -max_turns = 20 -push_to_db = false -evaluate_episode = false -use_pk_value = true - - -[[nodes]] -node_name = "Li" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Li"] -output_channel = "Li:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." -model_name = "gpt-4o" - - -agent_pk = "01JQPC1G68SJZNJP9V6WKMJVJ1" - - - -[[nodes]] -node_name = "Sarah" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Sarah"] -output_channel = "Sarah:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." -model_name = "gpt-4o" - - -agent_pk = "01JQPC1G68B1STVRZ01R622DMJ" - - - - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args] -print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} -env_agents = [ - "Li", - "Sarah", - "redis_agent" -] - - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "gpt-4o" - -[[nodes]] -node_name = "redis_agent" -node_class = "redis_agent" - -[nodes.node_args] -input_channels = ["moderator:redis_agent"] -output_channel = "redis_agent:moderator" -pubsub_channel = "a3434ae7-ec8a-4a7f-8b62-3d51ba08435e" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} diff --git a/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml b/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml deleted file mode 100644 index 4932fd37c..000000000 --- a/temp_config_e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b.toml +++ /dev/null @@ -1,95 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = [ - "examples.experimental.sotopia_original_replica.llm_agent_sotopia", - "sotopia.experimental.envs.utility_nodes.chat_print_node", - "sotopia.experimental.agents.moderator", - "sotopia.experimental.agents.evaluators", - "sotopia.experimental.agents.redis_agent" -] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" -[nodes.node_args] -output_channels = [ - "moderator:Li", - "moderator:Sarah", - "moderator:redis_agent" -] -input_channels = [ - "Li:moderator", - "Sarah:moderator", - "redis_agent:moderator" -] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} -scenario = "People are working in a startup communicating with an AI agent working with them." -max_turns = 20 -push_to_db = false -evaluate_episode = false -use_pk_value = true - - -[[nodes]] -node_name = "Li" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Li"] -output_channel = "Li:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." -model_name = "gpt-4o" - - -agent_pk = "01JQPB3EFPYWZTPG6SP4TV4SKH" - - - -[[nodes]] -node_name = "Sarah" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Sarah"] -output_channel = "Sarah:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." -model_name = "gpt-4o" - - -agent_pk = "01JQPB3EFPESQ380VB99TVJMC3" - - - - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args] -print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} -env_agents = [ - "Li", - "Sarah", - "redis_agent" -] - - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "gpt-4o" - -[[nodes]] -node_name = "redis_agent" -node_class = "redis_agent" - -[nodes.node_args] -input_channels = ["moderator:redis_agent"] -output_channel = "redis_agent:moderator" -pubsub_channel = "e5edb5d4-9d9f-4b1f-a5a8-4be8edcdd90b" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} diff --git a/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml b/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml deleted file mode 100644 index 8cbd8c244..000000000 --- a/temp_config_f84823b3-d267-4e37-8131-dda86918c25b.toml +++ /dev/null @@ -1,95 +0,0 @@ -redis_url = "redis://localhost:6379/0" -extra_modules = [ - "examples.experimental.sotopia_original_replica.llm_agent_sotopia", - "sotopia.experimental.envs.utility_nodes.chat_print_node", - "sotopia.experimental.agents.moderator", - "sotopia.experimental.agents.evaluators", - "sotopia.experimental.agents.redis_agent" -] - - -[[nodes]] -node_name = "moderator" -node_class = "moderator" -[nodes.node_args] -output_channels = [ - "moderator:Li", - "moderator:Sarah", - "moderator:redis_agent" -] -input_channels = [ - "Li:moderator", - "Sarah:moderator", - "redis_agent:moderator" -] -evaluator_channels = [["evaluator:moderator","moderator:evaluator"]] -agent_mapping = { "moderator:Li" = "Li","moderator:Sarah" = "Sarah","moderator:redis_agent" = "redis_agent"} -scenario = "People are working in a startup communicating with an AI agent working with them." -max_turns = 20 -push_to_db = false -evaluate_episode = false -use_pk_value = true - - -[[nodes]] -node_name = "Li" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Li"] -output_channel = "Li:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is informative and helpful, with a score of 5." -model_name = "gpt-4o" - - -agent_pk = "01JQP974SH2T6DV0TEJAVJYNCG" - - - -[[nodes]] -node_name = "Sarah" -node_class = "llm_agent" - -[nodes.node_args] -input_channels = ["moderator:Sarah"] -output_channel = "Sarah:moderator" -goal = "You goal is to collaborate with AI agent in the working space. You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent. Express you think the meeting is not informative and helpful, with a score of 2." -model_name = "gpt-4o" - - -agent_pk = "01JQP974SJ5V2RA53KQDA28BFE" - - - - -[[nodes]] -node_name = "chat_print" -node_class = "chat_print" - -[nodes.node_args] -print_channel_types = { "Li:moderator" = "agent_action","Sarah:moderator" = "agent_action","redis_agent:moderator" = "agent_action"} -env_agents = [ - "Li", - "Sarah", - "redis_agent" -] - - -[[nodes]] -node_name = "evaluator" -node_class = "evaluator" - -[nodes.node_args] -input_channels = ["moderator:evaluator"] -output_channels = ["evaluator:moderator"] -model_name = "gpt-4o" - -[[nodes]] -node_name = "redis_agent" -node_class = "redis_agent" - -[nodes.node_args] -input_channels = ["moderator:redis_agent"] -output_channel = "redis_agent:moderator" -pubsub_channel = "f84823b3-d267-4e37-8131-dda86918c25b" -other_agent_status = { "Li" = true,"Sarah" = true,"redis_agent" = true} From 16ed09190442597d0b3f34049908f496089dc09c Mon Sep 17 00:00:00 2001 From: sani903 Date: Mon, 31 Mar 2025 19:53:49 -0400 Subject: [PATCH 15/18] Working til before redis_agent in return message --- sotopia/experimental/agents/redis_agent.py | 17 +++++++---------- 1 file changed, 7 insertions(+), 10 deletions(-) diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index 944afff97..8f28f2b0a 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -18,16 +18,13 @@ pass # Configure logging -FORMAT = "%(asctime)s - %(levelname)s - %(name)s - %(message)s" -logging.basicConfig( - level=logging.WARNING, - format=FORMAT, - datefmt="[%X]", - handlers=[RichHandler()], -) -# log = logging.getLogger("sotopia.redis_agent") -# log.setLevel(logging.INFO) + +log = logging.getLogger("sotopia.redis_agent") +log.setLevel(logging.INFO) +# Prevent propagation to root logger +log.propagate = False +log.addHandler(RichHandler(rich_tracebacks=True, show_time=True)) @NodeFactory.register("redis_agent") @@ -188,7 +185,7 @@ async def publish_observation(self, obs: Observation) -> None: return async def aact(self, obs: Observation) -> AgentAction | None: - # log.info(f"NOT REACHING: {obs}") + log.info(f"NOT REACHING: {obs}") if not self.command_listener_task: print("Redis connection not initialized from redis_agent") await self.start_command_listener() From 5c988eab5d7237a40e646ebee98953823d8fefd4 Mon Sep 17 00:00:00 2001 From: sani903 Date: Mon, 31 Mar 2025 20:43:25 -0400 Subject: [PATCH 16/18] base agent logging --- sotopia/experimental/agents/base_agent.py | 16 ++++++++++++++++ sotopia/experimental/agents/moderator.py | 7 +++---- sotopia/experimental/agents/redis_agent.py | 1 - 3 files changed, 19 insertions(+), 5 deletions(-) diff --git a/sotopia/experimental/agents/base_agent.py b/sotopia/experimental/agents/base_agent.py index 6d9466bbc..d85970d43 100644 --- a/sotopia/experimental/agents/base_agent.py +++ b/sotopia/experimental/agents/base_agent.py @@ -11,10 +11,19 @@ from aact import Message, Node from aact.messages import DataModel +import logging +from rich.logging import RichHandler + T_agent_observation = TypeVar("T_agent_observation", bound=DataModel) T_agent_action = TypeVar("T_agent_action", bound=DataModel) +log = logging.getLogger("sotopia.redis_agent") +log.setLevel(logging.INFO) +# Prevent propagation to root logger +log.propagate = False +log.addHandler(RichHandler(rich_tracebacks=True, show_time=True)) + class BaseAgent(Node[T_agent_observation, T_agent_action]): def __init__( @@ -34,6 +43,7 @@ def __init__( self.observation_queue: asyncio.Queue[T_agent_observation] = asyncio.Queue() self.task_scheduler: asyncio.Task[None] | None = None self.shutdown_event: asyncio.Event = asyncio.Event() + self.a = node_name async def __aenter__(self) -> Self: self.task_scheduler = asyncio.create_task(self._task_scheduler()) @@ -52,7 +62,9 @@ async def event_handler( self, channel: str, message: Message[T_agent_observation] ) -> AsyncIterator[tuple[str, Message[T_agent_action]]]: if channel in self.input_channel_types: + log.info(f"Inside event_handler: {self.a}") await self.observation_queue.put(message.data) + log.info(f"Put in queue: {self.a}") else: raise ValueError(f"Invalid channel: {channel}") yield "", self.output_type() @@ -66,8 +78,12 @@ async def send(self, action: T_agent_action) -> None: async def _task_scheduler(self) -> None: while not self.shutdown_event.is_set(): + log.info(f"Inside task_scheduler: {self.a}") observation = await self.observation_queue.get() + log.info(f"Observation in task_scheduler in {self.a}: {observation}") action_or_none = await self.aact(observation) + log.info(f"Completed aact: {self.a}") if action_or_none is not None: await self.send(action_or_none) + log.info(f"Completed send: {self.a}") self.observation_queue.task_done() diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index ecdfe8f24..d7be2b7d1 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -240,8 +240,8 @@ async def booting(self) -> None: log.info("All agents are now awake and ready") # TODO: remove this once we have a better way to handle the redis_agent - if not self.redis_agent_as_actor: - self.remove_redis_as_actor() + # if not self.redis_agent_as_actor: + # self.remove_redis_as_actor() self.epilog = EpisodeLog( environment=self.scenario, agents=list(self.agents_pk.values()), @@ -346,7 +346,6 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: return None if agent_action.action_type == "none": return None - await self.send_epilog(self.epilog, "moderator:redis_agent") if self.turn_number < self.max_turns: self.turn_number += 1 else: @@ -361,7 +360,7 @@ async def astep(self, agent_action: AgentAction) -> Observations | None: for output_channel, agent_name in self.agent_mapping.items() } ) - + await self.send_epilog(self.epilog, "moderator:redis_agent") receiver = receiver.lower() observations_map: dict[str, Observation] = {} for output_channel, _ in self.output_channel_types.items(): diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index 8f28f2b0a..d38b1b137 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -185,7 +185,6 @@ async def publish_observation(self, obs: Observation) -> None: return async def aact(self, obs: Observation) -> AgentAction | None: - log.info(f"NOT REACHING: {obs}") if not self.command_listener_task: print("Redis connection not initialized from redis_agent") await self.start_command_listener() From e51794f5777c9f6433121cd92b95dece587ef8a1 Mon Sep 17 00:00:00 2001 From: adityasoni9998 Date: Tue, 1 Apr 2025 18:52:07 -0400 Subject: [PATCH 17/18] Finally everything works --- pyproject.toml | 5 +- sotopia/api/fastapi_server.py | 5 +- sotopia/experimental/agents/base_agent.py | 18 ++- sotopia/experimental/agents/moderator.py | 12 +- sotopia/experimental/agents/redis_agent.py | 61 ++++----- test_server.py | 137 +++++++++++++++------ uv.lock | 52 ++++---- 7 files changed, 182 insertions(+), 108 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 018a6e56c..97cd1615e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,10 @@ dependencies = [ "beartype>=0.14.0,<0.20.0", "hiredis>=3.0.0", "litellm>=0.1.1", - "aact" + "aact", + "modal>=0.68.18", + "streamlit>=1.41.1", + "fastapi[standard]>=0.115.6", ] [build-system] diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index a7bbb0c07..7e9ddd0af 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -29,8 +29,7 @@ SotopiaDimensions, ) from sotopia.experimental.server import arun_one_episode -from examples.experimental.sotopia_original_replica.llm_agent_sotopia import LLMAgent -from sotopia.agents import Agents +from sotopia.agents import Agents, LLMAgent from fastapi import ( FastAPI, WebSocket, @@ -367,7 +366,7 @@ async def nonstreaming_simulation( ), } ) - + from sotopia.server import arun_one_episode await arun_one_episode( env=env, agent_list=list(agents.values()), diff --git a/sotopia/experimental/agents/base_agent.py b/sotopia/experimental/agents/base_agent.py index d85970d43..c30b1fb31 100644 --- a/sotopia/experimental/agents/base_agent.py +++ b/sotopia/experimental/agents/base_agent.py @@ -62,9 +62,11 @@ async def event_handler( self, channel: str, message: Message[T_agent_observation] ) -> AsyncIterator[tuple[str, Message[T_agent_action]]]: if channel in self.input_channel_types: - log.info(f"Inside event_handler: {self.a}") + if "redis" in self.a: + log.info(f"Inside event_handler: {self.a}") await self.observation_queue.put(message.data) - log.info(f"Put in queue: {self.a}") + if "redis" in self.a: + log.info(f"Put in queue: {self.a}") else: raise ValueError(f"Invalid channel: {channel}") yield "", self.output_type() @@ -78,12 +80,16 @@ async def send(self, action: T_agent_action) -> None: async def _task_scheduler(self) -> None: while not self.shutdown_event.is_set(): - log.info(f"Inside task_scheduler: {self.a}") + if "redis" in self.a: + log.info(f"Inside task_scheduler: {self.a}") observation = await self.observation_queue.get() - log.info(f"Observation in task_scheduler in {self.a}: {observation}") + if "redis" in self.a: + log.info(f"Observation in task_scheduler in {self.a}: {observation}") action_or_none = await self.aact(observation) - log.info(f"Completed aact: {self.a}") + if "redis" in self.a: + log.info(f"Completed aact: {self.a}") if action_or_none is not None: await self.send(action_or_none) - log.info(f"Completed send: {self.a}") + if 'redis' in self.a: + log.info(f"Completed send: {self.a}") self.observation_queue.task_done() diff --git a/sotopia/experimental/agents/moderator.py b/sotopia/experimental/agents/moderator.py index d7be2b7d1..9f1e40930 100644 --- a/sotopia/experimental/agents/moderator.py +++ b/sotopia/experimental/agents/moderator.py @@ -59,7 +59,7 @@ def __init__( push_to_db: bool = False, use_pk_value: bool = False, evaluate_episode: bool = False, - redis_agent_as_actor: bool = True, + redis_agent_as_actor: bool = False, ) -> None: # print([(channel[0], AgentAction) for channel in evaluator_channels]) super().__init__( @@ -115,9 +115,9 @@ def remove_redis_as_actor(self) -> None: if "moderator:redis_agent" in self.output_channel_types: self.output_channel_types.pop("moderator:redis_agent") - # Remove from input_channel_types - need to use the correct key - if "redis_agent:moderator" in self.input_channel_types: - self.input_channel_types.pop("redis_agent:moderator") + # # Remove from input_channel_types - need to use the correct key + # if "redis_agent:moderator" in self.input_channel_types: + # self.input_channel_types.pop("redis_agent:moderator") # Remove from agents list - check if it exists first if "redis_agent" in self.agents: @@ -240,8 +240,8 @@ async def booting(self) -> None: log.info("All agents are now awake and ready") # TODO: remove this once we have a better way to handle the redis_agent - # if not self.redis_agent_as_actor: - # self.remove_redis_as_actor() + if not self.redis_agent_as_actor: + self.remove_redis_as_actor() self.epilog = EpisodeLog( environment=self.scenario, agents=list(self.agents_pk.values()), diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index d38b1b137..28e09aa6d 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -77,12 +77,12 @@ async def start_command_listener(self) -> None: """Start listening for commands on Redis channels""" if self.command_listener_task is None or self.command_listener_task.done(): self.command_listener_task = asyncio.create_task(self._command_listener()) - print("Started Redis command listener task") + log.info("Started Redis command listener task") async def _command_listener(self) -> None: """Listen for commands from WebSocket clients via Redis""" if not self.pubsub_channel: - print("No connection_id specified, command listener not started") + log.info("No connection_id specified, command listener not started") return pubsub = self.r.pubsub() @@ -91,7 +91,7 @@ async def _command_listener(self) -> None: try: # Subscribe to the websocket channel for this connection await pubsub.subscribe(channel) - print(f"Subscribed to Redis channel from websocket: {channel}") + log.info(f"Subscribed to Redis channel from websocket: {channel}") while not self.shutdown_event.is_set(): try: @@ -104,7 +104,7 @@ async def _command_listener(self) -> None: # Process the command try: command_data = json.loads(message["data"].decode()) - print( + log.info( f"Received command from websocket: {command_data.get('type', 'unknown')}" ) try: @@ -115,7 +115,7 @@ async def _command_listener(self) -> None: not isinstance(msg, dict) or "content" not in msg ): - print("Invalid message format") + log.info("Invalid message format") return None sender = msg.get("sender", "redis_agent") @@ -123,11 +123,11 @@ async def _command_listener(self) -> None: receiver = msg.get("receiver", "all") if receiver != "all": - print( + log.info( f"Processing DM from {sender} to {receiver}" ) else: - print(f"Broadcasting message from {sender}") + log.info(f"Broadcasting message from {sender}") action = AgentAction( agent_name=sender, output_channel=self.output_channel, @@ -137,10 +137,10 @@ async def _command_listener(self) -> None: ), ) except KeyError as e: - print(f"Missing key in command: {e}") + log.info(f"Missing key in command: {e}") action = None except Exception as e: - print(f"Error processing command: {e}") + log.info(f"Error processing command: {e}") action = None if action: @@ -149,48 +149,48 @@ async def _command_listener(self) -> None: # await self.pending_actions.put(action) except json.JSONDecodeError: - print( + log.info( f"Failed to parse websocket command: {message['data'][:200]}..." ) except Exception as e: - print(f"Error processing websocket command: {e}") + log.info(f"Error processing websocket command: {e}") except asyncio.TimeoutError: # No message available, continue pass except Exception as e: - print(f"Error in command listener: {e}") + log.info(f"Error in command listener: {e}") await asyncio.sleep(1) # Avoid tight loop on error except Exception as e: - print(f"Fatal error in command listener: {e}") + log.info(f"Fatal error in command listener: {e}") finally: # Unsubscribe when done await pubsub.unsubscribe(channel) - print("Command listener stopped") + log.info("Command listener stopped") async def publish_observation(self, obs: Observation) -> None: """Publish observation to Redis""" if not self.pubsub_channel: - print("No connection ID") + log.info("No connection ID") return if obs.agent_name == "epilog": - print("Message is an epilog") + log.info("Message is an epilog") obs_json = json.dumps(obs.model_dump()) - print(f"The epilog object looks like: {self.obs_json}") + log.info(f"The epilog object looks like: {obs_json}") await self.r.publish(self.pubsub_channel, obs_json) - print(f"Published epilog update to {self.connection_id}") + log.info(f"Published epilog update to {self.pubsub_channel}") else: - print(f"Non-epilog message received from {obs.agent_name}") + log.info(f"Non-epilog message received from {obs.agent_name}") return async def aact(self, obs: Observation) -> AgentAction | None: if not self.command_listener_task: - print("Redis connection not initialized from redis_agent") + log.info("Redis connection not initialized from redis_agent") await self.start_command_listener() # Handle initialization message if obs.turn_number == -1: - print(f"self.awake: {self.awake}") + log.info(f"self.awake: {self.awake}") if self.awake: return AgentAction( agent_name=self.node_name, @@ -211,16 +211,21 @@ async def aact(self, obs: Observation) -> AgentAction | None: self.other_agent_status[agent_name] = False if True not in self.other_agent_status.values(): self.shutdown_event.set() - + log.info("All other agents have left, shutting down") + # Append to message history self.message_history.append(obs) + log.info("ckpt1") if not self.pending_actions.empty(): action = await self.pending_actions.get() return action - return AgentAction( - agent_name=self.node_name, - output_channel=self.output_channel, - action_type="none", - argument={"pk": "redis", "model_name": "redis"}, - ) + log.info("ckpt2") + # a = AgentAction( + # agent_name=self.node_name, + # output_channel=self.output_channel, + # action_type="none", + # argument={"pk": "redis", "model_name": "redis"}, + # ) + log.info("ckpt3") + return None \ No newline at end of file diff --git a/test_server.py b/test_server.py index d4840c3d5..eb9939aa5 100644 --- a/test_server.py +++ b/test_server.py @@ -32,6 +32,21 @@ "strategy_hint": "Express you think the meeting is not informative and helpful, with a score of 2.", } +ap3 = { + "first_name": "Turing", + "last_name": "", + "age": 23, + "occupation": "Researcher", + "gender": "Man", + "gender_pronoun": "He/Him", + "public_info": "Responsibilities: Research on Turing machines and AI; Project: Oversees all technical projects; Skills: N/A", +} + +ap3_scenario = { + "extra_info": "You will be asked to provide feedback and scoring (1-5) for the all hands meeting by the AI Agent.", + "strategy_hint": "Give a score of 1 and express you think the meeting was useless since it did not discuss Turing machines, Context-free grammar and Deterministic Push-down Automata.", +} + ap1_goal = ( "You goal is to collaborate with AI agent in the working space." + " " @@ -52,72 +67,120 @@ + "" ) -env_profile = { - "codename": str(uuid.uuid1()), - "scenario": "People are working in a startup communicating with an AI agent working with them.", - "agent_goals": [ap1_goal, ap2_goal], -} -print(env_profile) -FAST_API_URL = "http://localhost:8080/" +ap3_goal = ( + "You goal is to collaborate with AI agent in the working space." + + " " + + ap3_scenario["extra_info"] + + "" + + " " + + ap3_scenario["strategy_hint"] + + "" +) -async def main(): +FAST_API_URL = "http://localhost:8080/" +FINISH_MSG = {"type": "FINISH_SIM"} + +async def test_single_NPC() -> None: + env_profile1 = { + "codename": str(uuid.uuid1()), + "scenario": "People are working in a startup communicating with an AI agent working with them.", + "agent_goals": [ap1_goal], + } + print(env_profile1) TOKEN = str(uuid.uuid4()) - WS_URL = f"ws://localhost:8080/ws/simulation?token={TOKEN}" + ws_url = f"ws://localhost:8080/ws/simulation?token={TOKEN}" async with aiohttp.ClientSession() as session: - async with session.ws_connect(WS_URL) as ws: - print(f"Client connected to {WS_URL}") + async with session.ws_connect(ws_url) as ws: + print(f"Client connected to {ws_url}") # Send initial message - # Note: You'll need to implement the logic to get agent_ids and env_id - # This is just an example structure - start_message = { "type": "START_SIM", "data": { - "agent_models": ["gpt-4o"] * 2, - "env_profile_dict": env_profile, - "agent_profile_dicts": [ap1, ap2], + "agent_models": ["gpt-4o"] * 1, + "env_profile_dict": env_profile1, + "agent_profile_dicts": [ap1], }, } await ws.send_json(start_message) print("Client: Sent START_SIM message") confirmation_msg = await ws.receive_json() print(confirmation_msg) - msg = confirmation_msg["data"] - agent_ids = msg["agent_ids"] + feedback1_msg = { "type": "CLIENT_MSG", "data": { "content": "Hi Li Ming! Please provide feedback for the all hands meeting.", "to": "Li", }, - } - await asyncio.sleep(3) - await ws.send_json(feedback1_msg) - print("Client: Sent feedback1 message") + } await asyncio.sleep(15) await ws.send_json(feedback1_msg) print("Client: Sent feedback1 message") msg = await ws.receive_json() print(msg) - - feedback2_msg = { - "type": "CLIENT_MSG", - "data": { - "content": "Hi Sarah! Please provide feedback for the all hands meeting.", - "target_agents": [agent_ids[1]], - }, - } - await ws.send_json(feedback2_msg) - print("Client: Sent feedback2 message") msg = await ws.receive_json() print(msg) - # Receive and process messages - async for msg in ws: - print(msg) - pass + + await ws.send_json(FINISH_MSG) + print('Sent finish message') + return + +async def test_all_NPCs(broadcast=False) -> None: + env_profile2 = { + "codename": str(uuid.uuid1()), + "scenario": "People are working in a startup communicating with an AI agent working with them.", + "agent_goals": [ap1_goal, ap2_goal, ap3_goal], + } + print(env_profile2) + TOKEN = str(uuid.uuid4()) + ws_url = f"ws://localhost:8080/ws/simulation?token={TOKEN}" + async with aiohttp.ClientSession() as session: + async with session.ws_connect(ws_url) as ws: + print(f"Client connected to {ws_url}") + + # Send initial message + start_message = { + "type": "START_SIM", + "data": { + "agent_models": ["gpt-4o"] * 3, + "env_profile_dict": env_profile2, + "agent_profile_dicts": [ap1, ap2, ap3], + }, + } + await ws.send_json(start_message) + print("Client: Sent START_SIM message") + confirmation_msg = await ws.receive_json() + print(confirmation_msg) + for npc in ['Sarah', 'Turing', 'Li']: + feedback_msg = { + "type": "CLIENT_MSG", + "data": { + "content": f"Hi {npc}! Please provide feedback for the all hands meeting.", + "to": "all" if broadcast else npc, + }, + } + await asyncio.sleep(15) + await ws.send_json(feedback_msg) + print("Client: Sent feedback message") + msg = await ws.receive_json() + print(msg) + msg = await ws.receive_json() + print(msg) + + await ws.send_json(FINISH_MSG) + print('Sent finish message') + return + +async def main() -> None: + # test only one function at a time, then kill the fast-api server, comment/uncomment other test you want and then run again + + # await test_single_NPC() + await test_all_NPCs(broadcast=False) + # await test_all_NPCs(broadcast=True) + return if __name__ == "__main__": diff --git a/uv.lock b/uv.lock index 5752514cd..5782908ea 100644 --- a/uv.lock +++ b/uv.lock @@ -1,4 +1,5 @@ version = 1 +revision = 1 requires-python = ">=3.10, <3.13" resolution-markers = [ "python_full_version < '3.11'", @@ -382,7 +383,7 @@ name = "click" version = "8.1.7" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "colorama", marker = "platform_system == 'Windows'" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/96/d3/f04c7bfcf5c1862a2a5b845c6b2b360488cf47af55dfa79c98f6a6bf98b5/click-8.1.7.tar.gz", hash = "sha256:ca9853ad459e787e2192211578cc907e7594e294c7ccc834310722b41b9ca6de", size = 336121 } wheels = [ @@ -1291,7 +1292,7 @@ name = "ipykernel" version = "6.29.5" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "appnope", marker = "platform_system == 'Darwin'" }, + { name = "appnope", marker = "sys_platform == 'darwin'" }, { name = "comm" }, { name = "debugpy" }, { name = "ipython" }, @@ -1907,7 +1908,6 @@ name = "nvidia-cublas-cu12" version = "12.4.5.8" source = { registry = "https://pypi.org/simple" } wheels = [ - { url = "https://files.pythonhosted.org/packages/7f/7f/7fbae15a3982dc9595e49ce0f19332423b260045d0a6afe93cdbe2f1f624/nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0f8aa1706812e00b9f19dfe0cdb3999b092ccb8ca168c0db5b8ea712456fd9b3", size = 363333771 }, { url = "https://files.pythonhosted.org/packages/ae/71/1c91302526c45ab494c23f61c7a84aa568b8c1f9d196efa5993957faf906/nvidia_cublas_cu12-12.4.5.8-py3-none-manylinux2014_x86_64.whl", hash = "sha256:2fc8da60df463fdefa81e323eef2e36489e1c94335b5358bcb38360adf75ac9b", size = 363438805 }, ] @@ -1916,7 +1916,6 @@ name = "nvidia-cuda-cupti-cu12" version = "12.4.127" source = { registry = "https://pypi.org/simple" } wheels = [ - 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{ url = "https://files.pythonhosted.org/packages/80/9c/a79180e4d70995fdf030c6946991d0171555c6edf95c265c6b2bf7011112/nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1f173f09e3e3c76ab084aba0de819c49e56614feae5c12f69883f4ae9bb5fad9", size = 56314811 }, { url = "https://files.pythonhosted.org/packages/8a/6d/44ad094874c6f1b9c654f8ed939590bdc408349f137f9b98a3a23ccec411/nvidia_curand_cu12-10.3.5.147-py3-none-manylinux2014_x86_64.whl", hash = "sha256:a88f583d4e0bb643c49743469964103aa59f7f708d862c3ddb0fc07f851e3b8b", size = 56305206 }, ] @@ -1980,7 +1975,6 @@ dependencies = [ { name = "nvidia-nvjitlink-cu12" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/46/6b/a5c33cf16af09166845345275c34ad2190944bcc6026797a39f8e0a282e0/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_aarch64.whl", hash = "sha256:d338f155f174f90724bbde3758b7ac375a70ce8e706d70b018dd3375545fc84e", size = 127634111 }, { url = "https://files.pythonhosted.org/packages/3a/e1/5b9089a4b2a4790dfdea8b3a006052cfecff58139d5a4e34cb1a51df8d6f/nvidia_cusolver_cu12-11.6.1.9-py3-none-manylinux2014_x86_64.whl", hash = "sha256:19e33fa442bcfd085b3086c4ebf7e8debc07cfe01e11513cc6d332fd918ac260", size = 127936057 }, ] @@ -1992,7 +1986,6 @@ dependencies = [ { name = "nvidia-nvjitlink-cu12" }, ] wheels = [ - { url = "https://files.pythonhosted.org/packages/96/a9/c0d2f83a53d40a4a41be14cea6a0bf9e668ffcf8b004bd65633f433050c0/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_aarch64.whl", hash = "sha256:9d32f62896231ebe0480efd8a7f702e143c98cfaa0e8a76df3386c1ba2b54df3", size = 207381987 }, { url = "https://files.pythonhosted.org/packages/db/f7/97a9ea26ed4bbbfc2d470994b8b4f338ef663be97b8f677519ac195e113d/nvidia_cusparse_cu12-12.3.1.170-py3-none-manylinux2014_x86_64.whl", hash = "sha256:ea4f11a2904e2a8dc4b1833cc1b5181cde564edd0d5cd33e3c168eff2d1863f1", size = 207454763 }, ] @@ -2009,7 +2002,6 @@ name = "nvidia-nvjitlink-cu12" version = "12.4.127" source = { registry = "https://pypi.org/simple" } wheels = [ - { url = "https://files.pythonhosted.org/packages/02/45/239d52c05074898a80a900f49b1615d81c07fceadd5ad6c4f86a987c0bc4/nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:4abe7fef64914ccfa909bc2ba39739670ecc9e820c83ccc7a6ed414122599b83", size = 20552510 }, { url = "https://files.pythonhosted.org/packages/ff/ff/847841bacfbefc97a00036e0fce5a0f086b640756dc38caea5e1bb002655/nvidia_nvjitlink_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:06b3b9b25bf3f8af351d664978ca26a16d2c5127dbd53c0497e28d1fb9611d57", size = 21066810 }, ] @@ -2018,7 +2010,6 @@ name = "nvidia-nvtx-cu12" version = "12.4.127" source = { registry = "https://pypi.org/simple" } wheels = [ - { url = "https://files.pythonhosted.org/packages/06/39/471f581edbb7804b39e8063d92fc8305bdc7a80ae5c07dbe6ea5c50d14a5/nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_aarch64.whl", hash = "sha256:7959ad635db13edf4fc65c06a6e9f9e55fc2f92596db928d169c0bb031e88ef3", size = 100417 }, { url = "https://files.pythonhosted.org/packages/87/20/199b8713428322a2f22b722c62b8cc278cc53dffa9705d744484b5035ee9/nvidia_nvtx_cu12-12.4.127-py3-none-manylinux2014_x86_64.whl", hash = "sha256:781e950d9b9f60d8241ccea575b32f5105a5baf4c2351cab5256a24869f12a1a", size = 99144 }, ] @@ -3111,16 +3102,19 @@ dependencies = [ { name = "aact" }, { name = "absl-py" }, { name = "beartype" }, + { name = "fastapi", extra = ["standard"] }, { name = "gin-config" }, { name = "hiredis" }, { name = "json-repair" }, { name = "litellm" }, { name = "lxml" }, + { name = "modal" }, { name = "openai" }, { name = "pettingzoo" }, { name = "pydantic" }, { name = "redis-om" }, { name = "rich" }, + { name = "streamlit" }, { name = "together" }, ] @@ -3178,6 +3172,7 @@ requires-dist = [ { name = "beartype", specifier = ">=0.14.0,<0.20.0" }, { name = "cohere", marker = "extra == 'cohere'" }, { name = "datasets", marker = "extra == 'examples'" }, + { name = "fastapi", extras = ["standard"], specifier = ">=0.115.6" }, { name = "fastapi", extras = ["standard"], marker = "extra == 'api'" }, { name = "gin-config", specifier = ">=0.5.0,<0.6.0" }, { name = "google-generativeai", marker = "extra == 'google-generativeai'" }, @@ -3186,6 +3181,7 @@ requires-dist = [ { name = "json-repair", specifier = ">=0.35.0,<0.40.0" }, { name = "litellm", specifier = ">=0.1.1" }, { name = "lxml", specifier = ">=4.9.3,<6.0.0" }, + { name = "modal", specifier = ">=0.68.18" }, { name = "modal", marker = "extra == 'api'" }, { name = "openai", specifier = ">=1.11.0,<2.0.0" }, { name = "pandas", marker = "extra == 'examples'" }, @@ -3197,12 +3193,14 @@ requires-dist = [ { name = "redis-om", specifier = ">=0.3.0,<0.4.0" }, { name = "rich", specifier = ">=13.6.0,<14.0.0" }, { name = "scipy", marker = "extra == 'examples'" }, + { name = "streamlit", specifier = ">=1.41.1" }, { name = "streamlit", marker = "extra == 'api'" }, { name = "together", specifier = ">=0.2.4,<1.5.0" }, { name = "torch", marker = "extra == 'examples'" }, { name = "transformers", marker = "extra == 'examples'" }, { name = "uvicorn", marker = "extra == 'api'" }, ] +provides-extras = ["anthropic", "groq", "cohere", "google-generativeai", "examples", "api", "test"] [package.metadata.requires-dev] dev = [ @@ -3267,7 +3265,7 @@ dependencies = [ { name = "toml" }, { name = "tornado" }, { name = "typing-extensions" }, - { name = "watchdog", marker = "platform_system != 'Darwin'" }, + { name = "watchdog", marker = "sys_platform != 'darwin'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/78/33/14b5ac0369ecf0af675911e5e84b934e6fcc2cec850857d2390eb373b0a6/streamlit-1.41.1.tar.gz", hash = "sha256:6626d32b098ba1458b71eebdd634c62af2dd876380e59c4b6a1e828a39d62d69", size = 8712473 } wheels = [ @@ -3452,21 +3450,21 @@ dependencies = [ { name = "fsspec" }, { name = "jinja2" }, { name = "networkx" }, - { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, - { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, + { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, + { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "setuptools", marker = "python_full_version >= '3.12'" }, { name = "sympy" }, - { name = "triton", marker = "platform_machine == 'x86_64' and platform_system == 'Linux'" }, + { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "typing-extensions" }, ] wheels = [ @@ -3507,7 +3505,7 @@ name = "tqdm" version = "4.67.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "colorama", marker = "platform_system == 'Windows'" }, + { name = "colorama", marker = "sys_platform == 'win32'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a8/4b/29b4ef32e036bb34e4ab51796dd745cdba7ed47ad142a9f4a1eb8e0c744d/tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2", size = 169737 } wheels = [ From 4229aca5238e8ce480a780301572164248ad55ab Mon Sep 17 00:00:00 2001 From: "autofix-ci[bot]" <114827586+autofix-ci[bot]@users.noreply.github.com> Date: Mon, 7 Apr 2025 18:03:16 +0000 Subject: [PATCH 18/18] [autofix.ci] apply automated fixes --- sotopia/api/fastapi_server.py | 2 +- sotopia/experimental/agents/base_agent.py | 2 +- sotopia/experimental/agents/redis_agent.py | 2 +- .../envs/templates/multiagents.jinja2 | 1 - test_server.py | 67 ++++++++++--------- 5 files changed, 38 insertions(+), 36 deletions(-) diff --git a/sotopia/api/fastapi_server.py b/sotopia/api/fastapi_server.py index 6a5989b02..f4ff0a7a3 100644 --- a/sotopia/api/fastapi_server.py +++ b/sotopia/api/fastapi_server.py @@ -28,7 +28,6 @@ EpisodeLLMEvaluator, EvaluationForTwoAgents, ) -from sotopia.experimental.server import arun_one_episode from sotopia.agents import Agents, LLMAgent from fastapi import ( FastAPI, @@ -367,6 +366,7 @@ async def nonstreaming_simulation( } ) from sotopia.server import arun_one_episode + await arun_one_episode( env=env, agent_list=list(agents.values()), diff --git a/sotopia/experimental/agents/base_agent.py b/sotopia/experimental/agents/base_agent.py index c30b1fb31..c415ea2a6 100644 --- a/sotopia/experimental/agents/base_agent.py +++ b/sotopia/experimental/agents/base_agent.py @@ -90,6 +90,6 @@ async def _task_scheduler(self) -> None: log.info(f"Completed aact: {self.a}") if action_or_none is not None: await self.send(action_or_none) - if 'redis' in self.a: + if "redis" in self.a: log.info(f"Completed send: {self.a}") self.observation_queue.task_done() diff --git a/sotopia/experimental/agents/redis_agent.py b/sotopia/experimental/agents/redis_agent.py index d7ba64df3..fcf89561f 100644 --- a/sotopia/experimental/agents/redis_agent.py +++ b/sotopia/experimental/agents/redis_agent.py @@ -210,7 +210,7 @@ async def aact(self, obs: Observation) -> AgentAction | None: if True not in self.other_agent_status.values(): self.shutdown_event.set() log.info("All other agents have left, shutting down") - + # Append to message history self.message_history.append(obs) diff --git a/sotopia/experimental/envs/templates/multiagents.jinja2 b/sotopia/experimental/envs/templates/multiagents.jinja2 index 9dfb7d33e..307c8fb7f 100644 --- a/sotopia/experimental/envs/templates/multiagents.jinja2 +++ b/sotopia/experimental/envs/templates/multiagents.jinja2 @@ -77,4 +77,3 @@ input_channels = ["moderator:redis_agent"] output_channel = "redis_agent:moderator" pubsub_channel = "{{connection_id}}" other_agent_status = { {% for agent in agents %}"{{agent.name}}" = true{% if not loop.last %},{% endif %}{% endfor %}} - diff --git a/test_server.py b/test_server.py index eb9939aa5..ff14cdcbc 100644 --- a/test_server.py +++ b/test_server.py @@ -81,6 +81,7 @@ FAST_API_URL = "http://localhost:8080/" FINISH_MSG = {"type": "FINISH_SIM"} + async def test_single_NPC() -> None: env_profile1 = { "codename": str(uuid.uuid1()), @@ -115,7 +116,7 @@ async def test_single_NPC() -> None: "content": "Hi Li Ming! Please provide feedback for the all hands meeting.", "to": "Li", }, - } + } await asyncio.sleep(15) await ws.send_json(feedback1_msg) print("Client: Sent feedback1 message") @@ -125,9 +126,10 @@ async def test_single_NPC() -> None: print(msg) await ws.send_json(FINISH_MSG) - print('Sent finish message') + print("Sent finish message") return + async def test_all_NPCs(broadcast=False) -> None: env_profile2 = { "codename": str(uuid.uuid1()), @@ -139,40 +141,41 @@ async def test_all_NPCs(broadcast=False) -> None: ws_url = f"ws://localhost:8080/ws/simulation?token={TOKEN}" async with aiohttp.ClientSession() as session: async with session.ws_connect(ws_url) as ws: - print(f"Client connected to {ws_url}") + print(f"Client connected to {ws_url}") - # Send initial message - start_message = { - "type": "START_SIM", + # Send initial message + start_message = { + "type": "START_SIM", + "data": { + "agent_models": ["gpt-4o"] * 3, + "env_profile_dict": env_profile2, + "agent_profile_dicts": [ap1, ap2, ap3], + }, + } + await ws.send_json(start_message) + print("Client: Sent START_SIM message") + confirmation_msg = await ws.receive_json() + print(confirmation_msg) + for npc in ["Sarah", "Turing", "Li"]: + feedback_msg = { + "type": "CLIENT_MSG", "data": { - "agent_models": ["gpt-4o"] * 3, - "env_profile_dict": env_profile2, - "agent_profile_dicts": [ap1, ap2, ap3], + "content": f"Hi {npc}! Please provide feedback for the all hands meeting.", + "to": "all" if broadcast else npc, }, } - await ws.send_json(start_message) - print("Client: Sent START_SIM message") - confirmation_msg = await ws.receive_json() - print(confirmation_msg) - for npc in ['Sarah', 'Turing', 'Li']: - feedback_msg = { - "type": "CLIENT_MSG", - "data": { - "content": f"Hi {npc}! Please provide feedback for the all hands meeting.", - "to": "all" if broadcast else npc, - }, - } - await asyncio.sleep(15) - await ws.send_json(feedback_msg) - print("Client: Sent feedback message") - msg = await ws.receive_json() - print(msg) - msg = await ws.receive_json() - print(msg) - - await ws.send_json(FINISH_MSG) - print('Sent finish message') - return + await asyncio.sleep(15) + await ws.send_json(feedback_msg) + print("Client: Sent feedback message") + msg = await ws.receive_json() + print(msg) + msg = await ws.receive_json() + print(msg) + + await ws.send_json(FINISH_MSG) + print("Sent finish message") + return + async def main() -> None: # test only one function at a time, then kill the fast-api server, comment/uncomment other test you want and then run again