OpenRouter

deepeval's integration with OpenRouter allows you to use the OpenRouter gateway, connecting any OpenRouter supported model to power all of deepeval's metrics.

Command Line

To configure your OpenRouter model through the CLI, run the following command:

deepeval set-openrouter \
    --model "openai/gpt-4.1" \ # Ex: openai/gpt-4.1
    --base-url "https://openrouter.ai/api/v1" \
    --temperature=0 \
    --prompt-api-key

Python

Alternatively, you can define OpenRouterModel directly in Python code:

from deepeval.models import OpenRouterModel
from deepeval.metrics import AnswerRelevancyMetric

model = OpenRouterModel(
    model="openai/gpt-4.1",
    api_key="your-openrouter-api-key",
    # Optional: override the default OpenRouter endpoint
    base_url="https://openrouter.ai/api/v1",
    # Optional: pass OpenRouter headers via **kwargs
    default_headers={
        "HTTP-Referer": "https://your-site.com",
        "X-Title": "My eval pipeline",
    },
)

answer_relevancy = AnswerRelevancyMetric(model=model)

There are ZERO mandatory and SEVEN optional parameters when creating an OpenRouterModel:

• [Optional] model: A string specifying the OpenRouter model to use. Defaults to OPENROUTER_MODEL_NAME if set; otherwise falls back to "openai/gpt-4.1".
• [Optional] api_key: A string specifying your OpenRouter API key for authentication. Defaults to OPENROUTER_API_KEY if not passed; raises an error at runtime if unset.
• [Optional] base_url: A string specifying the base URL for the OpenRouter API endpoint. Defaults to OPENROUTER_BASE_URL if set; otherwise falls back to "https://openrouter.ai/api/v1".
• [Optional] temperature: A float specifying the model temperature. Defaults to TEMPERATURE if not passed; falls back to 0.0 if unset.
• [Optional] cost_per_input_token: A float specifying the cost for each input token for the provided model. Defaults to OPENROUTER_COST_PER_INPUT_TOKEN if not passed; raises an error at runtime if unset.
• [Optional] cost_per_output_token: A float specifying the cost for each output token for the provided model. Defaults to OPENROUTER_COST_PER_OUTPUT_TOKEN if not passed; raises an error at runtime if unset.
• [Optional] generation_kwargs: A dictionary of additional generation parameters forwarded to OpenRouter's chat.completions.create(...) call

Any additional **kwargs you would like to use for your OpenRouter client can be passed directly to OpenRouterModel(...). These are forwarded to the underlying OpenAI client constructor. We recommend double-checking the parameters and headers supported by your chosen model in the official OpenRouter docs.