Mistral provider

Uses: Kong Gateway AI Gateway Admin API deck KIC Konnect API Terraform

Upstream paths

AI Gateway automatically routes requests to the appropriate Mistral API endpoints. The following table shows the upstream paths used for each capability.

Capability	Upstream path or API
Chat completions	`/v1/chat/completions or user-defined`
Embeddings	`/v1/embeddings or user-defined`
Function calling	`/v1/chat/completions or user-defined`

Supported capabilities

The following tables show the AI capabilities supported by Mistral provider when used with the AI Proxy or the AI Proxy Advanced plugin.

Set the plugin’s route_type based on the capability you want to use. See the tables below for supported route types.

Text generation

Support for Mistral basic text generation capabilities including chat, completions, and embeddings:

Capability	Route type	Streaming	Model example	Min version
Chat completions	`llm/v1/chat`		mistral-large-latest	3.6
Embeddings	`llm/v1/embeddings`		mistral-embed	3.11

Advanced text generation

Support for Mistral function calling to allow Mistral models to use external tools and APIs:

Capability	Route type	Model example	Min version
Function calling	`llm/v1/chat`	mistral-large-latest	3.6

Mistral base URL

The base URL is $UPSTREAM_URL, where {route_type_path} is determined by the capability.

AI Gateway uses this URL automatically. You only need to configure a URL if you’re using a self-hosted or Mistral-compatible endpoint, in which case set the upstream_url plugin option.

Configure Mistral with AI Proxy

To use Mistral with AI Gateway, configure the AI Proxy or AI Proxy Advanced.

Here’s a minimal configuration for chat completions:

kong.yaml

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_format_version: "3.0"
plugins:
  - name: ai-proxy
    config:
      route_type: llm/v1/chat
      auth:
        header_name: Authorization
        header_value: Bearer ${{ env "DECK_MISTRAL_API_KEY" }}
      model:
        provider: mistral
        name: mistral-tiny
        options:
          mistral_format: openai
          upstream_url: https://api.mistral.ai/v1/chat/completions

curl -i -X POST http://localhost:8001/plugins/ \
    --header "Accept: application/json" \
    --header "Content-Type: application/json" \
    --data '
    {
      "name": "ai-proxy",
      "config": {
        "route_type": "llm/v1/chat",
        "auth": {
          "header_name": "Authorization",
          "header_value": "Bearer '$MISTRAL_API_KEY'"
        },
        "model": {
          "provider": "mistral",
          "name": "mistral-tiny",
          "options": {
            "mistral_format": "openai",
            "upstream_url": "https://api.mistral.ai/v1/chat/completions"
          }
        }
      }
    }
    '

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Make the following request:

curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/plugins/ \
    --header "accept: application/json" \
    --header "Content-Type: application/json" \
    --header "Authorization: Bearer $KONNECT_TOKEN" \
    --data '
    {
      "name": "ai-proxy",
      "config": {
        "route_type": "llm/v1/chat",
        "auth": {
          "header_name": "Authorization",
          "header_value": "Bearer '$MISTRAL_API_KEY'"
        },
        "model": {
          "provider": "mistral",
          "name": "mistral-tiny",
          "options": {
            "mistral_format": "openai",
            "upstream_url": "https://api.mistral.ai/v1/chat/completions"
          }
        }
      }
    }
    '

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echo "
apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
  name: ai-proxy
  namespace: kong
  annotations:
    kubernetes.io/ingress.class: kong
  labels:
    global: 'true'
config:
  route_type: llm/v1/chat
  auth:
    header_name: Authorization
    header_value: Bearer $MISTRAL_API_KEY
  model:
    provider: mistral
    name: mistral-tiny
    options:
      mistral_format: openai
      upstream_url: https://api.mistral.ai/v1/chat/completions
plugin: ai-proxy
" | kubectl apply -f -

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resource "konnect_gateway_plugin_ai_proxy" "my_ai_proxy" {
  enabled = true

  config = {
    route_type = "llm/v1/chat"

    auth = {
      header_name = "Authorization"
      header_value = "Bearer var.mistral_api_key"
    }

    model = {
      provider = "mistral"
      name = "mistral-tiny"

      options = {
        mistral_format = "openai"
        upstream_url = "https://api.mistral.ai/v1/chat/completions"
      }
    }
  }

  control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}

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This example requires the following variables to be added to your manifest. You can specify values at runtime by setting TF_VAR_name=value.

variable "mistral_api_key" {
  type = string
}

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For more configuration options and examples, see:

AI Proxy examples

AI Proxy Advanced examples

Mistral provider

Upstream paths

Supported capabilities

Text generation

Advanced text generation

Mistral base URL

Configure Mistral with AI Proxy

Tutorials

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