OpenAI-compatible models

Use any OpenAI-compatible endpoint with Agno agents.

Many providers support the OpenAI API format. Use the OpenAILike model to access them by replacing the base_url.

Example

agent.py

from os import getenv
from agno.agent import Agent
from agno.models.openai.like import OpenAILike

agent = Agent(
    model=OpenAILike(
        id="mistralai/Mixtral-8x7B-Instruct-v0.1",
        api_key=getenv("TOGETHER_API_KEY"),
        base_url="https://api.together.xyz/v1",
    )
)

# Print the response in the terminal
agent.print_response("Share a 2 sentence horror story.")

Parameters

Parameter	Type	Default	Description
id	str	"not-provided"	The id of the model to use
name	str	"OpenAILike"	The name of the model
provider	str	"OpenAILike"	The provider of the model
api_key	Optional[str]	"not-provided"	The API key for authentication
base_url	Optional[str]	None	The base URL for the API service
collect_metrics_on_completion	bool	False	Collect token metrics only from the final streaming chunk (for providers with cumulative token counts)

OpenAILike extends the OpenAI-compatible interface and supports all parameters from OpenAIChat. Simply change the base_url and api_key to point to your preferred OpenAI-compatible service.

Responses API

For providers that implement the Open Responses API specification, use OpenResponses:

agent.py

from agno.agent import Agent
from agno.models.openai import OpenResponses

agent = Agent(
    model=OpenResponses(
        id="your-model-id",
        base_url="https://your-provider.com/v1",
        api_key="your-api-key",
    ),
)

agent.print_response("Share a 2 sentence horror story.")

The Responses API is stateless by default. Each request is independent with no previous_response_id chaining.

For specific providers, use the dedicated classes:

• OllamaResponses for Ollama (v0.13.3+)
• OpenRouterResponses for OpenRouter

See OpenResponses reference for full parameters.