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Mistral AI

Connect AISIX AI Gateway to Mistral AI so applications can call Mistral models through the gateway's OpenAI-compatible API. AISIX keeps the Mistral credential on the gateway side. It authorizes model access with caller API keys and allowlists, and applies the same rate-limit and usage-accounting controls as other model aliases.

Mistral exposes an OpenAI-compatible API, so it uses the openai adapter with a Mistral api_base.

Prerequisites​

The following examples use a self-hosted AISIX gateway. Before configuring the upstream, prepare the following:

Configure the Mistral Upstream​

Create a provider key, model alias, and caller API key for the Mistral-backed chat-completions route.

Create a Provider Key​

Create the provider key that stores the Mistral credential and API root:

# Replace with your values
export AISIX_ADMIN_KEY="YOUR_ADMIN_KEY"
export MISTRAL_API_KEY="YOUR_PROVIDER_API_KEY"

curl -sS -X POST "http://127.0.0.1:3001/admin/v1/provider_keys" \
  -H "Authorization: Bearer ${AISIX_ADMIN_KEY}" \
  -H "Content-Type: application/json" \
  --data-binary @- <<EOF
  {
    "display_name": "mistral-prod",
    "provider": "mistral",
    "adapter": "openai",
    "secret": "${MISTRAL_API_KEY}",
    "api_base": "https://api.mistral.ai/v1"
  }
EOF

❶ provider is mistral.

❷ adapter is openai, because Mistral accepts OpenAI chat-completions requests.

❸ secret stores the Mistral API key. It follows the credential-handling behavior in Provider Credentials.

❹ api_base is required and already includes the /v1 path. AISIX appends /chat/completions to it.

Copy the returned provider key ID.

Create a Model​

Mistral model IDs ending in -latest track the newest snapshot of that model. To pin a specific version, use the dated model ID from the Mistral models list.

Create the model alias callers will send in requests:

# Replace with your values
export PROVIDER_KEY_ID="YOUR_PROVIDER_KEY_ID"

curl -sS -X POST "http://127.0.0.1:3001/admin/v1/models" \
  -H "Authorization: Bearer ${AISIX_ADMIN_KEY}" \
  -H "Content-Type: application/json" \
  --data-binary @- <<EOF
  {
    "display_name": "mistral-large-prod",
    "provider": "mistral",
    "model_name": "mistral-large-latest",
    "provider_key_id": "${PROVIDER_KEY_ID}"
  }
EOF

❶ display_name is the alias callers send in model.

❷ model_name is the Mistral model ID, for example mistral-large-latest or mistral-small-latest.

❸ provider_key_id attaches the alias to the Mistral provider key.

Create a Caller API Key​

Choose the caller API key value that the application will send to AISIX, then hash it for the admin resource:

# Replace with your values
export AISIX_API_KEY="YOUR_CALLER_API_KEY"

CALLER_KEY_HASH=$(printf '%s' "${AISIX_API_KEY}" | shasum -a 256 | awk '{print $1}')

Create the caller API key resource that can access the model alias:

curl -sS -X POST "http://127.0.0.1:3001/admin/v1/apikeys" \
  -H "Authorization: Bearer ${AISIX_ADMIN_KEY}" \
  -H "Content-Type: application/json" \
  --data-binary @- <<EOF
  {
    "key_hash": "${CALLER_KEY_HASH}",
    "allowed_models": ["mistral-large-prod"]
  }
EOF

The allowed_models value must match the model alias you created.

Verify the Provider Connection​

Send a chat-completions request through the AISIX proxy:

curl -sS -X POST "http://127.0.0.1:3000/v1/chat/completions" \
  -H "Authorization: Bearer ${AISIX_API_KEY}" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral-large-prod",
    "messages": [
      {
        "role": "user",
        "content": "Say hello from Mistral."
      }
    ]
  }'

The gateway returns an OpenAI-compatible response that echoes the caller-facing alias mistral-large-prod. If the request fails, check the provider key secret, api_base, and the Mistral model ID in model_name.

Next Steps​

You have now connected AISIX to Mistral and verified the model alias. Continue with these guides: