mistralai-client-rs
Library Listed Dormant
Mistral AI API client library for Rust (unofficial).
- Downloads
- 518
- Dependents
- 4
- Stars
- 48
- Forks
- 10
- Contributors
- 5
- Commits
- 82
- Latest release
- 0.14.0 ·
About
Mistral AI Rust Client
Rust client for the Mistral AI API.
[!IMPORTANT]
While we are in v0, minor versions may introduce breaking changes.
Please, refer to the CHANGELOG.md for more information.
- Supported APIs
- Installation
- Mistral API Key
- As an environment variable
- As a client argument
- Mistral API Key
- Usage
- Chat
- Chat (async)
- Chat with streaming (async)
- Chat with Function Calling
- Chat with Function Calling (async)
- Embeddings
- Embeddings (async)
- List models
- List models (async)
- Contributing
Supported APIs
- [x] Chat without streaming
- [x] Chat without streaming (async)
- [x] Chat with streaming
- [x] Embedding
- [x] Embedding (async)
- [x] List models
- [x] List models (async)
- [x] Function Calling
- [x] Function Calling (async)
Installation
You can install the library in your project using:
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.
use mistralai_client::v1::client::Client;
fn main() {
let client = Client::new(None, None, None, None);
}
MISTRAL_API_KEY=your_api_key cargo run
Read the full README
As a client argument
use mistralai_client::v1::client::Client;
fn main() {
let api_key = "your_api_key";
let client = Client::new(Some(api_key), None, None, None).unwrap();
}
Usage
Chat
use mistralai_client::v1::{
chat::{ChatMessage, ChatMessageRole, ChatParams},
client::Client,
constants::Model,
};
fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client = Client::new(None, None, None, None).unwrap();
let model = Model::OpenMistral7b;
let messages = vec![ChatMessage {
role: ChatMessageRole::User,
content: "Just guess the next word: \"Eiffel ...\"?".to_string(),
tool_calls: None,
}];
let options = ChatParams {
temperature: 0.0,
random_seed: Some(42),
..Default::default()
};
let result = client.chat(model, messages, Some(options)).unwrap();
println!("Assistant: {}", result.choices[0].message.content);
// => "Assistant: Tower. The Eiffel Tower is a famous landmark in Paris, France."
}
Chat (async)
use mistralai_client::v1::{
chat::{ChatMessage, ChatMessageRole, ChatParams},
client::Client,
constants::Model,
};
#[tokio::main]
async fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client = Client::new(None, None, None, None).unwrap();
let model = Model::OpenMistral7b;
let messages = vec![ChatMessage {
role: ChatMessageRole::User,
content: "Just guess the next word: \"Eiffel ...\"?".to_string(),
tool_calls: None,
}];
let options = ChatParams {
temperature: 0.0,
random_seed: Some(42),
..Default::default()
};
let result = client
.chat_async(model, messages, Some(options))
.await
.unwrap();
println!(
"{:?}: {}",
result.choices[0].message.role, result.choices[0].message.content
);
// => "Assistant: Tower. The Eiffel Tower is a famous landmark in Paris, France."
}
Chat with streaming (async)
use futures::stream::StreamExt;
use mistralai_client::v1::{
chat::{ChatMessage, ChatMessageRole, ChatParams},
client::Client,
constants::Model,
};
use std::io::{self, Write};
#[tokio::main]
async fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client = Client::new(None, None, None, None).unwrap();
let model = Model::OpenMistral7b;
let messages = vec![ChatMessage {
role: ChatMessageRole::User,
content: "Tell me a short happy story.".to_string(),
tool_calls: None,
}];
let options = ChatParams {
temperature: 0.0,
random_seed: Some(42),
..Default::default()
};
let stream_result = client
.chat_stream(model, messages, Some(options))
.await
.unwrap();
stream_result
.for_each(|chunk_result| async {
match chunk_result {
Ok(chunks) => chunks.iter().for_each(|chunk| {
print!("{}", chunk.choices[0].delta.content);
io::stdout().flush().unwrap();
// => "Once upon a time, [...]"
}),
Err(error) => {
eprintln!("Error processing chunk: {:?}", error)
}
}
})
.await;
print!("\n") // To persist the last chunk output.
}
Chat with Function Calling
use mistralai_client::v1::{
chat::{ChatMessage, ChatMessageRole, ChatParams},
client::Client,
constants::Model,
tool::{Function, Tool, ToolChoice, ToolFunctionParameter, ToolFunctionParameterType},
};
use serde::Deserialize;
use std::any::Any;
#[derive(Debug, Deserialize)]
struct GetCityTemperatureArguments {
city: String,
}
struct GetCityTemperatureFunction;
#[async_trait::async_trait]
impl Function for GetCityTemperatureFunction {
async fn execute(&self, arguments: String) -> Box<dyn Any + Send> {
// Deserialize arguments, perform the logic, and return the result
let GetCityTemperatureArguments { city } = serde_json::from_str(&arguments).unwrap();
let temperature = match city.as_str() {
"Paris" => "20°C",
_ => "Unknown city",
};
Box::new(temperature.to_string())
}
}
fn main() {
let tools = vec![Tool::new(
"get_city_temperature".to_string(),
"Get the current temperature in a city.".to_string(),
vec![ToolFunctionParameter::new(
"city".to_string(),
"The name of the city.".to_string(),
ToolFunctionParameterType::String,
)],
)];
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let mut client = Client::new(None, None, None, None).unwrap();
client.register_function(
"get_city_temperature".to_string(),
Box::new(GetCityTemperatureFunction),
);
let model = Model::MistralSmallLatest;
let messages = vec![ChatMessage {
role: ChatMessageRole::User,
content: "What's the temperature in Paris?".to_string(),
tool_calls: None,
}];
let options = ChatParams {
temperature: 0.0,
random_seed: Some(42),
tool_choice: Some(ToolChoice::Auto),
tools: Some(tools),
..Default::default()
};
client.chat(model, messages, Some(options)).unwrap();
let temperature = client
.get_last_function_call_result()
.unwrap()
.downcast::<String>()
.unwrap();
println!("The temperature in Paris is: {}.", temperature);
// => "The temperature in Paris is: 20°C."
}
Chat with Function Calling (async)
use mistralai_client::v1::{
chat::{ChatMessage, ChatMessageRole, ChatParams},
client::Client,
constants::Model,
tool::{Function, Tool, ToolChoice, ToolFunctionParameter, ToolFunctionParameterType},
};
use serde::Deserialize;
use std::any::Any;
#[derive(Debug, Deserialize)]
struct GetCityTemperatureArguments {
city: String,
}
struct GetCityTemperatureFunction;
#[async_trait::async_trait]
impl Function for GetCityTemperatureFunction {
async fn execute(&self, arguments: String) -> Box<dyn Any + Send> {
// Deserialize arguments, perform the logic, and return the result
let GetCityTemperatureArguments { city } = serde_json::from_str(&arguments).unwrap();
let temperature = match city.as_str() {
"Paris" => "20°C",
_ => "Unknown city",
};
Box::new(temperature.to_string())
}
}
#[tokio::main]
async fn main() {
let tools = vec![Tool::new(
"get_city_temperature".to_string(),
"Get the current temperature in a city.".to_string(),
vec![ToolFunctionParameter::new(
"city".to_string(),
"The name of the city.".to_string(),
ToolFunctionParameterType::String,
)],
)];
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let mut client = Client::new(None, None, None, None).unwrap();
client.register_function(
"get_city_temperature".to_string(),
Box::new(GetCityTemperatureFunction),
);
let model = Model::MistralSmallLatest;
let messages = vec![ChatMessage {
role: ChatMessageRole::User,
content: "What's the temperature in Paris?".to_string(),
tool_calls: None,
}];
let options = ChatParams {
temperature: 0.0,
random_seed: Some(42),
tool_choice: Some(ToolChoice::Auto),
tools: Some(tools),
..Default::default()
};
client
.chat_async(model, messages, Some(options))
.await
.unwrap();
let temperature = client
.get_last_function_call_result()
.unwrap()
.downcast::<String>()
.unwrap();
println!("The temperature in Paris is: {}.", temperature);
// => "The temperature in Paris is: 20°C."
}
Embeddings
use mistralai_client::v1::{client::Client, constants::EmbedModel};
fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client: Client = Client::new(None, None, None, None).unwrap();
let model = EmbedModel::MistralEmbed;
let input = vec!["Embed this sentence.", "As well as this one."]
.iter()
.map(|s| s.to_string())
.collect();
let options = None;
let response = client.embeddings(model, input, options).unwrap();
println!("First Embedding: {:?}", response.data[0]);
// => "First Embedding: {...}"
}
Embeddings (async)
use mistralai_client::v1::{client::Client, constants::EmbedModel};
#[tokio::main]
async fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client: Client = Client::new(None, None, None, None).unwrap();
let model = EmbedModel::MistralEmbed;
let input = vec!["Embed this sentence.", "As well as this one."]
.iter()
.map(|s| s.to_string())
.collect();
let options = None;
let response = client
.embeddings_async(model, input, options)
.await
.unwrap();
println!("First Embedding: {:?}", response.data[0]);
// => "First Embedding: {...}"
}
List models
use mistralai_client::v1::client::Client;
fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client = Client::new(None, None, None, None).unwrap();
let result = client.list_models().unwrap();
println!("First Model ID: {:?}", result.data[0].id);
// => "First Model ID: open-mistral-7b"
}
List models (async)
use mistralai_client::v1::client::Client;
#[tokio::main]
async fn main() {
// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
let client = Client::new(None, None, None, None).unwrap();
let result = client.list_models_async().await.unwrap();
println!("First Model ID: {:?}", result.data[0].id);
// => "First Model ID: open-mistral-7b"
}
Contributing
Please read CONTRIBUTING.md for details on how to contribute to this library.
Compatibility
- Runs on
- GPU support unknown
What shows it
- no dependency or feature matches a backend row
- Native code
- None found
- No native code found
- Python bindings
- No Python binding crate found
- License
- Apache-2.0
Compare with similar projects
Order: strongest tier first, then most downloads, then name, with unmeasured values last. A library counts downloads over 30 days. An app counts binary downloads per release. An app with none counts its crate downloads over 30 days. ML Rust runs this catalogue, so its closest project always gets a row.
| Project | Downloads | Dependents | Stars | Latest release | Runs on (GPU) | Native code | License |
|---|---|---|---|---|---|---|---|
|
Mistral AI API client library for Rust (unofficial). |
518 downloads over 30 days | 4 | 48 | 0.14.0 | GPU support unknown | No native code found | Apache-2.0 |
|
ollama-rs Featured
A Rust library for interacting with the Ollama API |
45,579 downloads over 30 days | 68 | 1,061 | 0.3.6 | GPU support unknown | No native code found | MIT |
|
openai-api-rs Listed
OpenAI API client library for Rust (unofficial) |
46,400 downloads over 30 days | 33 | 485 | 10.0.2 | GPU support unknown | No native code found | MIT |
|
openai Listed
An unofficial Rust library for the OpenAI API. |
10,846 downloads over 30 days | 13 | 128 | 1.1.1 | GPU support unknown | No native code found | MIT |
|
gemini-rust Listed
Rust client for Google Gemini API |
6,041 downloads over 30 days | 5 | 79 | 2.1.0 | GPU support unknown | No native code found | MIT |
|
anthropic-sdk-rs Listed
An unofficial Rust SDK for Anthropic's Claude AI API |
2,116 downloads over 30 days | 4 | 18 | 0.2.27 | GPU support unknown | No native code found | MIT |
|
Inference server for LLMs, speech and embeddings: OpenAI-compatible routes with streaming, plus speech synthesis (TTS) and transcription (ASR). Serves Llama, Mistral, Qwen, Mamba2, MLA+MoE and hybrid models from SafeTensors, AWQ, GPTQ and GGUF. |
8 binary downloads per release | Not applicable | 7 | 0.7.1 | CUDA, WebGPU | Binds native code: ring (feature distributed) | Apache-2.0 |
Why ListedNo archive, New or Featured rule places it, so it is Listed.
What it lacks for Featured
- It has 3 active dependents and 2 new dependents in 365 days. Featured needs 11 active dependents or 9 new dependents in 365 days. The repository route reads 48 stars, 10 forks and 5 contributors. It needs 4,539 stars, 434 forks and 79 contributors together.
- The project is dormant and not finished. Dormancy rule
What else the check found
- The last activity is on 27 Aug 2024, 804 days ago. That reaches the 365 days the rules expect, so the project is dormant. Dormancy rule
- The oldest outside issue waits 808 days for a reply, past the limit of 270. No maintainer replied in 365 days. Rot signals rule
Not measured: Latest release fails cargo check.
Exact rules: Listed, Featured library. The check on applied thresholds version 9.
Every rule outcome, as the check records it
expected-interval: version 0.14.0 base 140, raised to the 365-day floor: E = 365 daysdormancy: last activity 2024-08-27, 804 days ago, E = 365: dormantrot: oldest unanswered issue 808 days (limit 270), no maintainer reply in 365 daysfeatured: not featured: active_users 3 < 11 and new_adopters 2 < 9 and repository route stars 48 (needs 4539), forks 10 (needs 434), contributors 5 (needs 79); dormant and not stablelisted: listed: no archive, new or featured rule applies
Measurements and sources
Each signal row shows the raw value, its source and the fetch date. The Sources list gathers every distinct source on this page. Movement needs more history.
Sources6 sources
- Description: the crates.io description
- crates.io database dump, fetched
- RustSec advisory database, fetched
- GitHub repository, fetched
- crates.io package, fetched
- GitHub contributors, fetched
Adoption3 active dependents, 2 new dependents in 365 days1 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Active dependents | 3 | crates.io database dump | Yes | |
| New dependents (365 days) | 2 | crates.io database dump | Yes | |
| Peak active dependents | 3 | crates.io database dump | Yes | |
| Active dependents as a share of the peak | 1 | crates.io database dump | Yes | |
| Binary downloads per release | Not measured | Yes |
MaintenanceLatest human commit: 2 years ago3 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Latest human commit | 2024-08-27 | GitHub repository | Yes | |
| Latest release | 2024-08-27 | crates.io database dump | Yes | |
| First release | 2024-03-03 | crates.io database dump | Yes | |
| Latest version | 0.14.0 | crates.io database dump | Yes | |
| Days the oldest outside issue waits for a reply | 808 | GitHub repository | Yes | |
| Maintainer replies over 365 days | 0 | GitHub repository | Yes | |
| Repository archived | false | GitHub repository | Yes | |
| Repository gone | false | GitHub repository | Yes | |
| Release commit or manifest in the repo | true | crates.io package | Yes | |
| Published docs | true | crates.io database dump | Yes | |
| Latest release fails cargo check | Not measured | Yes | ||
| Build check date | Not measured | Yes | ||
| Build check toolchain | Not measured | Yes |
SecurityUnpatched vulnerabilities: none
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Unpatched vulnerabilities past the grace window | none | RustSec advisory database | Yes | |
| RustSec unmaintained advisory | none | RustSec advisory database | Yes | |
| Deprecation notice | none | crates.io database dump | Yes | |
| Deprecated requirement | none | crates.io database dump | Yes |
Distribution14 releases, 518 downloads over 30 days5 not measured
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| Releases | 14 | crates.io database dump | Yes | |
| Downloads over 30 days | 518 | crates.io database dump | Yes | |
| Binary downloads over the last 3 releases | Not measured | Yes | ||
| Homebrew installs on request over 365 days | Not measured | Yes | ||
| Repology repository families | Not measured | Yes | ||
| Docker pull growth over 90 days | Not measured | Yes | ||
| Docker pulls at the growth baseline | Not measured | Yes | ||
| Every version a prerelease | false | crates.io database dump | Yes | |
| Every version 0.0.x | false | crates.io database dump | Yes | |
| Every version yanked | false | crates.io database dump | Yes | |
| Crate deleted from crates.io | false | crates.io database dump | Yes |
Repository48 stars, 10 forks, 5 contributors, 82 commits. Stars alone never qualify a project.
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| GitHub stars | 48 | GitHub repository | Yes — one part of the repository route | |
| GitHub forks | 10 | GitHub repository | Yes — one part of the repository route | |
| Contributors with a GitHub account | 5 | GitHub contributors | Yes — one part of the repository route | |
| Commits on the default branch | 82 | GitHub repository | No | |
| Repository's main crate left out of the entry | none | crates.io database dump | Yes |
Facts that never count
| Signal | Value | Source | Fetched | Counts |
|---|---|---|---|---|
| License | Apache-2.0 | crates.io database dump | No | |
| Runs on, from listed crates and their direct dependencies | GPU support unknown | crates.io database dump | No | |
| What shows each backend | no dependency or feature matches a backend row | crates.io database dump | No | |
| Native code, from listed crates and their dependencies | No native code found | crates.io database dump | No | |
| Python bindings, from direct dependencies of listed crates | No Python binding crate found | crates.io database dump | No | |
| Crates that depend on a listed crate directly | 4 | crates.io database dump | No |
Corrections and review history
No correction applies to this entry.
Judgments
A judgment enters only through an approved issue and a merged pull request.
No judgment applies to this entry.