- AI Gateway
- 1.2.0
- Gateway Artifacts
- LLM Provider
- Supported Providers
MistralAI¶
Connect the AI Gateway to the Mistral AI API. You end up with an LLM Provider that holds your Mistral AI credentials, exposes the API through the gateway, and can be consumed by any LLM proxy.
Mistral AI defines the endpoint URL and the header that carries your API key, so the provider takes those values from Mistral AI's documentation rather than from a fixed configuration here.
This page is for platform administrators, who hold the upstream credentials.
What you need from Mistral AI¶
Collect these three values from Mistral AI before you deploy the provider:
| Value | Where it comes from |
|---|---|
| Endpoint URL | The base URL Mistral AI publishes for its API. See the Mistral AI API reference. |
| Auth header and scheme | The header Mistral AI expects a request to carry the key in. Send your first API request shows it on a complete request. |
| API key | The key you create for your Mistral AI account. See Activate Studio and generate an API key. |
Template details¶
The gateway ships a mistralai template that tells it where to find token counts and model names in Mistral AI traffic. Name it in the provider's template field.
The template ID is mistralai, one word. A provider that names mistral instead fails validation, because the gateway matches the ID exactly.
The template extracts the following:
apiVersion: gateway.api-platform.wso2.com/v1
kind: LlmProviderTemplate
metadata:
name: mistralai
spec:
displayName: MistralAI
groupId: wso2-mistralai
managedBy: wso2
version: v1.0
promptTokens:
location: payload
identifier: $.usage.prompt_tokens
completionTokens:
location: payload
identifier: $.usage.completion_tokens
totalTokens:
location: payload
identifier: $.usage.total_tokens
remainingTokens:
location: header
identifier: x-ratelimit-remaining-tokens
requestModel:
location: payload
identifier: $.model
responseModel:
location: payload
identifier: $.model
The gateway reads the token counts and the model name from the request and response payloads, and the remaining-token count from the x-ratelimit-remaining-tokens response header. These are the paths the openai template uses for the same six values, because Mistral AI reports usage in the OpenAI response shape. Unlike the openai template, this one carries no resourceMappings block, so those paths apply to every resource the provider exposes.
Configure the provider¶
Deploy the provider through the management API, following the procedure in Create and configure an LLM provider. A Mistral AI provider takes this shape:
apiVersion: gateway.api-platform.wso2.com/v1
kind: LlmProvider
metadata:
name: mistralai-provider
spec:
displayName: MistralAI Provider
version: v1.0
template: mistralai
context: /providers/mistralai
upstream:
url: <mistral-endpoint>
auth:
type: api-key
header: <mistral-auth-header>
value: <mistral-api-key>
accessControl:
mode: deny_all
exceptions:
- path: <chat-completions-path>
methods: [POST]
Replace the four placeholders with the values you collected:
<mistral-endpoint>— the base URL from the Mistral AI API reference.<mistral-auth-header>— the header name that reference specifies for API key authentication.<mistral-api-key>— your Mistral AI API key, formatted as that same reference specifies.<chat-completions-path>— the request path you expose through the gateway.
The context value sets the URL prefix the provider answers on, so this provider serves its exposed paths under /providers/mistralai. The accessControl block denies every upstream path except those listed as exceptions.
OpenAI-format compatibility¶
Mistral AI exposes an OpenAI-compatible API, and a transformer is not required when the selected provider already speaks the OpenAI format. An LLM proxy can route OpenAI-format requests to this provider directly.
To normalize those requests and responses anyway, apply the openai-to-mistral-transformer policy. Its model parameter is required, and it replaces the model named in the request body.
For the request, response and streaming behavior the transformer covers, including the fields it removes, see the Mistral entry in the provider capability matrix.
Related pages¶
- Create and configure an LLM provider — the full deployment procedure this page's definition plugs into.
- Provider templates — every template the gateway ships, and the metadata each one extracts.
- Mistral AI documentation — Mistral AI's documentation hub, including the models it exposes.