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* Move app from private repo to AutoGen * Add icon * Draft initial blog * Update samples/apps/auto-anny/bot.py Co-authored-by: Davor Runje <davor@airt.ai> * Update README.md * Allow specifying repo name * Log messages and reactions to messages * Update readme * Update blog * Update blog * Update website and readme * Extend examples * Improve blog * Update website/blog/2024-02-02-AutoAnny/index.mdx Co-authored-by: Chi Wang <wang.chi@microsoft.com> --------- Co-authored-by: Davor Runje <davor@airt.ai> Co-authored-by: Chi Wang <wang.chi@microsoft.com>
37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
from autogen import AssistantAgent, UserProxyAgent, config_list_from_json
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async def solve_task(task):
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config_list = config_list_from_json(env_or_file="OAI_CONFIG_LIST")
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assistant = AssistantAgent("assistant", llm_config={"config_list": config_list})
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user_proxy = UserProxyAgent(
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"user_proxy",
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code_execution_config={"work_dir": "coding", "use_docker": False},
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human_input_mode="NEVER",
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is_termination_msg=lambda msg: "TERMINATE" in msg.get("content", ""),
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)
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await user_proxy.a_initiate_chat(assistant, message=task)
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await user_proxy.a_send(
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f"""Based on the results in above conversation, create a response for the user.
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While computing the response, remember that this conversation was your inner mono-logue.
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The user does not need to know every detail of the conversation.
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All they want to see is the appropriate result for their task (repeated below) in
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a manner that would be most useful. Response should be less than 1500 characters.
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The task was: {task}
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There is no need to use the word TERMINATE in this response.
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""",
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assistant,
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request_reply=False,
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silent=True,
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)
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response = await assistant.a_generate_reply(assistant.chat_messages[user_proxy], user_proxy)
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await assistant.a_send(response, user_proxy, request_reply=False, silent=True)
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last_message = assistant.chat_messages[user_proxy][-1]["content"]
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return last_message[:2000]
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