Inconsistency between Models

[xavidop]

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Hi everyone,

I am developing a Github plugin for Firebase Genkit to allow developers to use Github Models in their Firebase Generative AI apps.

So far so good, I have been using the Azure AI Inference SDK to implement it. What I have seen is that the same request works using GPT-4o or Mistral-small but fails when you have using Cohere Command-r.

The requests are following the Azure AI Inference REST schema.

Here is an example:

{"body":{"messages":[{"role":"user","content":"Translate this hi to Spanish. Autodetect the language."}],"model":"cohere-command-r","temperature":1,"response_format":{"type":"text"}}}

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[xavidop]

you can try with:

curl -X POST "https://models.inference.ai.azure.com/chat/completions" \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $GITHUB_TOKEN" \
    -d '{"messages":[{"role":"user","content":"Translate this hi to Spanish. Autodetect the language."}],"model":"cohere-command-r","temperature":1,"response_format":{"type":"text"}}'

You will get:

{"error":{"code":"Bad Request","message":"{\"message\":\"invalid type: parameter response_format is of type object but should be of type string.\"}","status":400}}

[matthewisabel]

Thanks for sharing this! Our team is investigating what might be happening.