Chat Mistral
Chat Mistral
Section titled “Chat Mistral”Run Mistral open and frontier models for text generation.
What it does
Section titled “What it does”Provides access to Mistral’s open and frontier models for AI agent nodes. Mistral exposes an OpenAI-compatible API, so this node runs the OpenAI client against Mistral’s base URL.
When to use it
Section titled “When to use it”Connect this to AI agents when you want to generate or reason over text with Mistral models such as mistral-large-latest.
Inputs and settings
Section titled “Inputs and settings”| Setting | Notes |
|---|---|
| Model | The Mistral model to use, e.g. mistral-large-latest. Placeholder: mistral-large-latest. |
| Authentication | Credential used to authenticate: “Use your Mistral API key as a Bearer token.” |
| Options → Temperature | The temperature to use for the model. |
| Options → Max Retries | The maximum number of retries to use for the model. Defaults to 2. |
Outputs
Section titled “Outputs”Returns a chat model dependency that can be connected to AI agent nodes.
Dependencies and credentials
Section titled “Dependencies and credentials”- Requires an Authentication credential holding your Mistral API key, sent as a Bearer token.
- The node throws an error if Model is empty.
Example workflow
Section titled “Example workflow”Connect Chat Mistral to an AI agent or dependency input that accepts this dependency type, set the Model to a Mistral model such as mistral-large-latest, attach your Mistral API key credential, then run the agent with data from previous nodes.
Troubleshooting
Section titled “Troubleshooting”- Ensure Model is filled in — the node rejects an empty value.
- If it calls an external service, verify credentials, permissions, and rate limits.