In the OpenAIFunctionsAgent class, there is an asynchronous method called 'aplan' which is used to decide what to do given some input. This method uses the 'apredict_messages' method of the 'llm' object, which is likely an asynchronous generator function. ...
" agent=AgentType.OPENAI_FUNCTIONS,\n", " handle_parsing_errors=True,\n", " tools=[\n", " Tool.from_function(\n", " func=plus,\n", " name=\"Sum Calculator\",\n", " description=\"Use this to perform sums of two numbers. Use this tool by sending a pair of number separated...
OPENAI_FUNCTIONS, verbose=True, agent_kwargs=agent_kwargs, memory=memory, ) Step 9: Testing the Agent Finally, test the agent by initiating the chat using the “hi” message: agent.run("hi") Add some information to the memory by running the agent with it: agent.run("my name is John...
How to Create Custom Functions with OpenAI Agent in LangChain? Agents are an important aspect of the language model as they contain all the information about how the model works. It contains all the activities or steps to build the conversation application. The agents also have an understanding ...
The system Message should be passed to the Agent/LLM to make it answer in german, which doesn't happen. I was able to fix this by passing the system message explicitly to the cls.create_prompt()-function in the OpenAI functions agent class. ...
Async support for OpenAIFunctionsAgentOutputParser 13f23b7 vercel bot commented Sep 27, 2023 The latest updates on your projects. Learn more about Vercel for Git ↗︎ 1 Ignored Deployment NameStatusPreviewUpdated (UTC) langchain ⬜️ Ignored (Inspect) Sep 27, 2023 11:05pm dosubot bot...
OPENAI_FUNCTIONS, verbose=True, agent_kwargs=agent_kwargs, memory=memory, ) Step 9: Testing the Agent Finally, test the agent by initiating the chat using the “hi” message: agent.run("hi") Add some information to the memory by running the agent with it: agent.run("my name is John...
The system Message should be passed to the Agent/LLM to make it answer in german, which doesn't happen.I was able to fix this by passing the system message explicitly to the cls.create_prompt()-function in the OpenAI functions agent class....