the track ID: 03lXHmokj9qsXspNsPoirR.'Try another API.‚Äãheaders = {"Authorization": f"Bearer {os.getenv('OPENAI_API_KEY')}"}openai_requests_wrapper = RequestsWrapper(headers=headers)# Meta!llm = OpenAI(model_name="gpt-4", temperature=0.25)openai_agent = planner.create_openapi_agent(    openai_api_spec, openai_requests_wrapper, llm)user_query = "generate a short piece of advice"openai_agent.run(user_query)            > Entering new AgentExecutor chain...    Action: api_planner    Action Input: I need to find the right API calls to generate a short piece of advice    Observation: 1. GET /engines to retrieve the list of available engines    2. POST /completions with the selected engine and a prompt for generating a short piece of advice    Thought:I have the plan, now I need to execute the API calls.    Action: api_controller    Action Input: 1. GET /engines to retrieve the list of available engines    2. POST /completions with the selected engine and a prompt for generating a short piece of advice        > Entering new AgentExecutor chain...    Action: requests_get    Action Input: {"url": "https://api.openai.com/v1/engines", "output_instructions": "Extract the ids of the engines"}    Observation: babbage, davinci, text-davinci-edit-001, babbage-code-search-code, text-similarity-babbage-001, code-davinci-edit-001, text-davinci-001, ada, babbage-code-search-text, babbage-similarity, whisper-1, code-search-babbage-text-001, text-curie-001, code-search-babbage-code-001, text-ada-001, text-embedding-ada-002, text-similarity-ada-001, curie-instruct-beta, ada-code-search-code, ada-similarity, text-davinci-003, code-search-ada-text-001, text-search-ada-query-001, davinci-search-document, ada-code-search-text, text-search-ada-doc-001, davinci-instruct-beta, text-similarity-curie-001, code-search-ada-code-001    Thought:I will use the "davinci" engine to generate a short piece of advice.    Action: requests_post    Action Input: {"url":
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. ->: the track ID: 03lXHmokj9qsXspNsPoirR.'Try another API.‚Äãheaders = {"Authorization": f"Bearer {os.getenv('OPENAI_API_KEY')}"}openai_requests_wrapper = RequestsWrapper(headers=headers)# Meta!llm = OpenAI(model_name="gpt-4", temperature=0.25)openai_agent = planner.create_openapi_agent(    openai_api_spec, openai_requests_wrapper, llm)user_query = "generate a short piece of advice"openai_agent.run(user_query)            > Entering new AgentExecutor chain...    Action: api_planner    Action Input: I need to find the right API calls to generate a short piece of advice    Observation: 1. GET /engines to retrieve the list of available engines    2. POST /completions with the selected engine and a prompt for generating a short piece of advice    Thought:I have the plan, now I need to execute the API calls.    Action: api_controller    Action Input: 1. GET /engines to retrieve the list of available engines    2. POST /completions with the selected engine and a prompt for generating a short piece of advice        > Entering new AgentExecutor chain...    Action: requests_get    Action Input: {"url": "https://api.openai.com/v1/engines", "output_instructions": "Extract the ids of the engines"}    Observation: babbage, davinci, text-davinci-edit-001, babbage-code-search-code, text-similarity-babbage-001, code-davinci-edit-001, text-davinci-001, ada, babbage-code-search-text, babbage-similarity, whisper-1, code-search-babbage-text-001, text-curie-001, code-search-babbage-code-001, text-ada-001, text-embedding-ada-002, text-similarity-ada-001, curie-instruct-beta, ada-code-search-code, ada-similarity, text-davinci-003, code-search-ada-text-001, text-search-ada-query-001, davinci-search-document, ada-code-search-text, text-search-ada-doc-001, davinci-instruct-beta, text-similarity-curie-001, code-search-ada-code-001    Thought:I will use the "davinci" engine to generate a short piece of advice.    Action: requests_post    Action Input: {"url":