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If we register a function to agent with Mistral llm config, the conversation will raise BadRequestError
from autogen import ConversableAgent, register_function llm_config = { "config_list": [ { "model": "lmstudio-community/mistral-7b-instruct-v0.3", "base_url": "http://localhost:1234/v1", "api_key": "lm-studio", "price":[0.0,0.0], }, ], "cache_seed": None, # Disable caching. } agent = ConversableAgent( name="Agent", llm_config=llm_config, ) executor = ConversableAgent( name="user_proxy", human_input_mode="NEVER", ) def get_airplane_ticket_price(): return "Ticket is 100€" register_function( get_airplane_ticket_price, caller=agent, executor=executor, description="Get the price of an airplane ticket", ) executor.initiate_chat( recipient=agent, message="I need to buy a plane ticket for Paris", )
user_proxy (to Agent): I need to buy a plane ticket for Paris -------------------------------------------------------------------------------- >>>>>>>> USING AUTO REPLY... --------------------------------------------------------------------------- BadRequestError Traceback (most recent call last) Cell In[1], [line 36](vscode-notebook-cell:?execution_count=1&line=36) [26](vscode-notebook-cell:?execution_count=1&line=26) return "Ticket is 100€" [28](vscode-notebook-cell:?execution_count=1&line=28) register_function( [29](vscode-notebook-cell:?execution_count=1&line=29) get_airplane_ticket_price, [30](vscode-notebook-cell:?execution_count=1&line=30) caller=agent, [31](vscode-notebook-cell:?execution_count=1&line=31) executor=executor, [32](vscode-notebook-cell:?execution_count=1&line=32) description="Get the price of an airplane ticket", [33](vscode-notebook-cell:?execution_count=1&line=33) ) ---> [36](vscode-notebook-cell:?execution_count=1&line=36) executor.initiate_chat( [37](vscode-notebook-cell:?execution_count=1&line=37) recipient=agent, [38](vscode-notebook-cell:?execution_count=1&line=38) message="I need to buy a plane ticket for Paris", [39](vscode-notebook-cell:?execution_count=1&line=39) ) File ~/projects/ag2/autogen/agentchat/conversable_agent.py:1499, in ConversableAgent.initiate_chat(self, recipient, clear_history, silent, cache, max_turns, summary_method, summary_args, message, **kwargs) [1497](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1497) else: [1498](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1498) msg2send = self.generate_init_message(message, **kwargs) -> [1499](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1499) self.send(msg2send, recipient, silent=silent) [1500](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1500) summary = self._summarize_chat( [1501](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1501) summary_method, [1502](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1502) summary_args, [1503](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1503) recipient, [1504](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1504) cache=cache, [1505](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/autogen/agentchat/conversable_agent.py:1505) ) ... (...) [1079](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/.venv/lib/python3.11/site-packages/openai/_base_client.py:1079) retries_taken=retries_taken, [1080](https://file+.vscode-resource.vscode-cdn.net/Users/robert/projects/ag2/~/projects/ag2/.venv/lib/python3.11/site-packages/openai/_base_client.py:1080) ) BadRequestError: Error code: 400 - {'error': 'Error rendering prompt with jinja template: Error: Only user and assistant roles are supported!'}
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rjambrecic
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Describe the bug
If we register a function to agent with Mistral llm config, the conversation will raise BadRequestError
Steps to reproduce
Model Used
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Expected Behavior
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Screenshots and logs
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Additional Information
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The text was updated successfully, but these errors were encountered: