Mistral AI

undefined

Detail	Value
Category	AI
Base URL	https://api.mistral.ai/v1
Authentication	Bearer Token
Endpoints	5
Connector key	mistral

Using Mistral AI in a workflow

1. Go to Connections and click New Connection.
2. Pick Mistral AI from the marketplace.
3. Enter your credentials (see Authentication above for what's expected).
4. In a workflow, drop an API Call node and select this connection.
5. Pick the operation you need from the Operation dropdown — the full list is below.

Available endpoints

Endpoint	Summary
GET	Chat Completions
GET	Embeddings
GET	Models
GET	Fine-Tuning
GET	Files

Each endpoint is documented in full below. Use the outline on the right to jump to one.

GET

Chat Completions

Detail	Value
Operation ID	chat_completions_0
Method	GET
Path	``

Parameters

No parameters.

Using this endpoint in a workflow

1. Add an API Call node to your workflow.
2. Pick your Mistral AI connection from the Connection dropdown.
3. In the Operation dropdown, select chat_completions_0.
4. Fill in the parameter fields that appear. Use {{...}} to reference upstream values.

What it returns

The API Call node writes the response to the workflow context:

{
  status: 200,
  success: true,
  data: { ...response body from the API... },
  latencyMs: 142
}

Reference response fields downstream as {{nodeId.data.path}}. The exact response shape is documented on the upstream Mistral AI API reference.

GET

Embeddings

Detail	Value
Operation ID	embeddings_1
Method	GET
Path	``

Parameters

No parameters.

Using this endpoint in a workflow

1. Add an API Call node to your workflow.
2. Pick your Mistral AI connection from the Connection dropdown.
3. In the Operation dropdown, select embeddings_1.
4. Fill in the parameter fields that appear. Use {{...}} to reference upstream values.

What it returns

The API Call node writes the response to the workflow context:

{
  status: 200,
  success: true,
  data: { ...response body from the API... },
  latencyMs: 142
}

Reference response fields downstream as {{nodeId.data.path}}. The exact response shape is documented on the upstream Mistral AI API reference.

GET

Models

Detail	Value
Operation ID	models_2
Method	GET
Path	``

Parameters

No parameters.

Using this endpoint in a workflow

1. Add an API Call node to your workflow.
2. Pick your Mistral AI connection from the Connection dropdown.
3. In the Operation dropdown, select models_2.
4. Fill in the parameter fields that appear. Use {{...}} to reference upstream values.

What it returns

The API Call node writes the response to the workflow context:

{
  status: 200,
  success: true,
  data: { ...response body from the API... },
  latencyMs: 142
}

Reference response fields downstream as {{nodeId.data.path}}. The exact response shape is documented on the upstream Mistral AI API reference.

GET

Fine-Tuning

Detail	Value
Operation ID	fine_tuning_3
Method	GET
Path	``

Parameters

No parameters.

Using this endpoint in a workflow

1. Add an API Call node to your workflow.
2. Pick your Mistral AI connection from the Connection dropdown.
3. In the Operation dropdown, select fine_tuning_3.
4. Fill in the parameter fields that appear. Use {{...}} to reference upstream values.

What it returns

The API Call node writes the response to the workflow context:

{
  status: 200,
  success: true,
  data: { ...response body from the API... },
  latencyMs: 142
}

Reference response fields downstream as {{nodeId.data.path}}. The exact response shape is documented on the upstream Mistral AI API reference.

GET

Files

Detail	Value
Operation ID	files_4
Method	GET
Path	``

Parameters

No parameters.

Using this endpoint in a workflow

1. Add an API Call node to your workflow.
2. Pick your Mistral AI connection from the Connection dropdown.
3. In the Operation dropdown, select files_4.
4. Fill in the parameter fields that appear. Use {{...}} to reference upstream values.

What it returns

The API Call node writes the response to the workflow context:

{
  status: 200,
  success: true,
  data: { ...response body from the API... },
  latencyMs: 142
}

Reference response fields downstream as {{nodeId.data.path}}. The exact response shape is documented on the upstream Mistral AI API reference.