{"url": "https://api.openai.com/v1/completions", "data": {"model": "davinci", "prompt": "Give me a short piece of advice on how to improve communication skills."}, "output_instructions": "Extract the text from the first choice"}    Observation: "I'd like to broaden my horizon.\n\nI was trying to"    Thought:I cannot finish executing the plan without knowing some other information.        Final Answer: The generated text is not a piece of advice on improving communication skills. I would need to retry the API call with a different prompt or model to get a more relevant response.        > Finished chain.        Observation: The generated text is not a piece of advice on improving communication skills. I would need to retry the API call with a different prompt or model to get a more relevant response.    Thought:I need to adjust my plan to include a more specific prompt for generating a short piece of advice on improving communication skills.    Action: api_planner    Action Input: I need to find the right API calls to generate a short piece of advice on improving communication skills, including the model parameter in the POST request    Observation: 1. GET /models to retrieve the list of available models    2. Choose a suitable model for generating text (e.g., text-davinci-002)    3. POST /completions with the chosen model and a prompt related to improving communication skills to generate a short piece of advice    Thought:I have an updated plan, now I need to execute the API calls.    Action: api_controller    Action Input: 1. GET /models to retrieve the list of available models    2. Choose a suitable model for generating text (e.g., text-davinci-002)    3. POST /completions with the chosen model and a prompt related to improving communication skills to generate a short piece of advice        > Entering new AgentExecutor chain...    Action: requests_get    Action Input: {"url": "https://api.openai.com/v1/models", "output_instructions": "Extract the names of the
We can construct agents to consume arbitrary APIs, here APIs conformant to the OpenAPI/Swagger specification.
We can construct agents to consume arbitrary APIs, here APIs conformant to the OpenAPI/Swagger specification. ->: {"url": "https://api.openai.com/v1/completions", "data": {"model": "davinci", "prompt": "Give me a short piece of advice on how to improve communication skills."}, "output_instructions": "Extract the text from the first choice"}    Observation: "I'd like to broaden my horizon.\n\nI was trying to"    Thought:I cannot finish executing the plan without knowing some other information.        Final Answer: The generated text is not a piece of advice on improving communication skills. I would need to retry the API call with a different prompt or model to get a more relevant response.        > Finished chain.        Observation: The generated text is not a piece of advice on improving communication skills. I would need to retry the API call with a different prompt or model to get a more relevant response.    Thought:I need to adjust my plan to include a more specific prompt for generating a short piece of advice on improving communication skills.    Action: api_planner    Action Input: I need to find the right API calls to generate a short piece of advice on improving communication skills, including the model parameter in the POST request    Observation: 1. GET /models to retrieve the list of available models    2. Choose a suitable model for generating text (e.g., text-davinci-002)    3. POST /completions with the chosen model and a prompt related to improving communication skills to generate a short piece of advice    Thought:I have an updated plan, now I need to execute the API calls.    Action: api_controller    Action Input: 1. GET /models to retrieve the list of available models    2. Choose a suitable model for generating text (e.g., text-davinci-002)    3. POST /completions with the chosen model and a prompt related to improving communication skills to generate a short piece of advice        > Entering new AgentExecutor chain...    Action: requests_get    Action Input: {"url": "https://api.openai.com/v1/models", "output_instructions": "Extract the names of the