# Mistral AI Rust Client

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Rust client for the Mistral AI API.

---

- [Supported APIs](#supported-apis)
- [Installation](#installation)
  - [Mistral API Key](#mistral-api-key)
    - [As an environment variable](#as-an-environment-variable)
    - [As a client argument](#as-a-client-argument)
- [Usage](#usage)
  - [Chat without streaming](#chat-without-streaming)
  - [Chat with streaming](#chat-with-streaming)
  - [Embeddings](#embeddings)
  - [List models](#list-models)

---

## Supported APIs

- [x] Chat without streaming
- [ ] Chat with streaming
- [ ] Embedding
- [ ] List models
- [ ] Function Calling

## Installation

You can install the library in your project using:

```sh
cargo add mistralai-client
```

### Mistral API Key

You can get your Mistral API Key there: <https://docs.mistral.ai/#api-access>.

#### As an environment variable

Just set the `MISTRAL_API_KEY` environment variable.

#### As a client argument

```rs
use mistralai_client::v1::client::Client;

fn main() {
    let api_key = "your_api_key";

    let client = Client::new(Some(api_key), None, None, None);
}
```

## Usage

### Chat without streaming

```rs
use mistralai::v1::{
    chat_completion::{
        ChatCompletionMessage, ChatCompletionMessageRole, ChatCompletionRequest,
        ChatCompletionRequestOptions,
    },
    client::Client,
    constants::OPEN_MISTRAL_7B,
};

fn main() {
    // This example suppose you have set the `MISTRAL_API_KEY` environment variable.
    let client = Client::new(None, None, None, None);

    let model = OPEN_MISTRAL_7B.to_string();
    let messages = vec![ChatCompletionMessage {
        role: ChatCompletionMessageRole::user,
        content: "Just guess the next word: \"Eiffel ...\"?".to_string(),
    }];
    let options = ChatCompletionRequestOptions {
        temperature: Some(0.0),
        random_seed: Some(42),
        ..Default::default()
    };

    let chat_completion_request = ChatCompletionRequest::new(model, messages, Some(options));
    let result = client.chat(chat_completion_request).unwrap();
    println!("Assistant: {}", result.choices[0].message.content);
    // => "Assistant: Tower. [...]"
}
```

### Chat with streaming

_In progress._

### Embeddings

_In progress._

### List models

_In progress._