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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -22,4 +22,7 @@ dist-ssr | |
| *.njsproj | ||
| *.sln | ||
| *.sw? | ||
| .env | ||
| .env | ||
| OAI_CONFIG_LIST.json | ||
| cache.db | ||
| dev-dist | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,102 @@ | ||
| import requests | ||
| from flask import Flask, request, jsonify | ||
| from flask_socketio import SocketIO, emit | ||
| from flask_cors import CORS | ||
|
|
||
| from autogen import AssistantAgent, UserProxyAgent, config_list_from_json, Agent | ||
|
|
||
| # existing code... | ||
| app = Flask(__name__) | ||
| CORS(app) | ||
| app.config["SECRET_KEY"] = "your_secret_key" | ||
| CORS( | ||
| app, | ||
| origins=["http://192.168.4.74:5173", "http://localhost:5173", "http://www.acai.so"], | ||
| ) | ||
| socketio = SocketIO( | ||
| app, | ||
| cors_allowed_origins=[ | ||
| "http://192.168.4.74:5173", | ||
| "http://localhost:5173", | ||
| "http://www.acai.so", | ||
| ], | ||
| ) | ||
|
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||
|
|
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| import json | ||
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| def print_messages(recipient, messages, sender, config): | ||
| if "callback" in config and config["callback"] is not None: | ||
| callback = config["callback"] | ||
| callback(sender, recipient, messages[-1]) | ||
|
|
||
| last_message = messages[-1] | ||
| content = last_message.get("content", "No content") | ||
| role = last_message.get("role", "No role") | ||
|
|
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| if "TERMINATE" in content: | ||
| socketio.emit("info-toast", {"info": f"{content} | {role} | {sender.name}"}) | ||
|
|
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| # Format messages to match OpenAI chat endpoint | ||
| formatted_messages = [ | ||
| { | ||
| "role": msg.get("role", "No role"), | ||
| "content": msg.get("content", "No content"), | ||
| } | ||
| for msg in messages | ||
| ] | ||
| messages_json_str = json.dumps(formatted_messages) | ||
| socketio.emit( | ||
| "create-tab", {"title": "Autogen Logs", "content": messages_json_str} | ||
| ) | ||
|
|
||
| print( | ||
| f"Messages sent to: {recipient.name} | num messages: {len(messages)} | {content} | {role} | {sender.name}" | ||
| ) | ||
| return False, None # required to ensure the agent communication flow continues | ||
|
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|
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||
| # Load LLM inference endpoints from an env variable or a file | ||
| # See https://microsoft.github.io/autogen/docs/FAQ#set-your-api-endpoints | ||
| # and OAI_CONFIG_LIST_sample.json | ||
| config_list = config_list_from_json( | ||
| env_or_file="./OAI_CONFIG_LIST.json", file_location="." | ||
| ) | ||
| assistant = AssistantAgent( | ||
| "assistant", human_input_mode="NEVER", llm_config={"config_list": config_list} | ||
| ) | ||
| user_proxy = UserProxyAgent( | ||
| "user_proxy", | ||
| human_input_mode="NEVER", | ||
| max_consecutive_auto_reply=1, | ||
| code_execution_config={"work_dir": "coding"}, | ||
| ) | ||
| user_proxy.register_reply( | ||
| [Agent, None], | ||
| reply_func=print_messages, | ||
| config={"callback": None}, | ||
| ) | ||
|
|
||
| assistant.register_reply( | ||
| [Agent, None], | ||
| reply_func=print_messages, | ||
| config={"callback": None}, | ||
| ) | ||
|
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||
|
|
||
| @app.route("/test", methods=["GET"]) | ||
| def test(): | ||
| return "Hello world" | ||
|
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|
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||
| @app.route("/autogen", methods=["GET"]) | ||
| def autogen(): | ||
| agent_payload = request.get_json() | ||
| user_message = agent_payload.get("userMessage") | ||
| user_proxy.initiate_chat(assistant, message=user_message) | ||
| return f"Finished autogen process" | ||
|
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||
|
|
||
| if __name__ == "__main__": | ||
| socketio.run(app, host="0.0.0.0", port=7050) |
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