Sienna Meridian Satterwhite
79bc40bb15
- Replace closed Model enum with flexible string-based Model type with constructor methods for all current models (Mistral Large 3, Small 4, Magistral, Codestral, Devstral, Pixtral, Voxtral, etc.) - Add new API endpoints: FIM completions, Files, Fine-tuning, Batch jobs, OCR, Audio transcription, Moderations/Classifications, and Agent completions (sync + async for all) - Add new chat fields: frequency_penalty, presence_penalty, stop, n, parallel_tool_calls, reasoning_effort, min_tokens, json_schema response format - Add embedding fields: output_dimension, output_dtype - Tool parameters now accept raw JSON Schema (serde_json::Value) instead of limited enum types - Add tool call IDs and Required tool choice variant - Add DELETE HTTP method support and multipart file upload - Bump thiserror to v2, add reqwest multipart feature - Remove strum dependency (no longer needed) - Update all tests and examples for new API
43 lines
1.3 KiB
Rust
43 lines
1.3 KiB
Rust
use futures::stream::StreamExt;
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use mistralai_client::v1::{
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chat::{ChatMessage, ChatParams},
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client::Client,
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constants::Model,
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};
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use std::io::{self, Write};
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#[tokio::main]
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async fn main() {
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// This example suppose you have set the `MISTRAL_API_KEY` environment variable.
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let client = Client::new(None, None, None, None).unwrap();
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let model = Model::mistral_small_latest();
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let messages = vec![ChatMessage::new_user_message("Tell me a short happy story.")];
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let options = ChatParams {
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temperature: Some(0.0),
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random_seed: Some(42),
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..Default::default()
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};
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let stream_result = client
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.chat_stream(model, messages, Some(options))
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.await
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.unwrap();
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stream_result
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.for_each(|chunk_result| async {
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match chunk_result {
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Ok(chunks) => chunks.iter().for_each(|chunk| {
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if let Some(content) = &chunk.choices[0].delta.content {
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print!("{}", content);
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io::stdout().flush().unwrap();
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}
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}),
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Err(error) => {
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eprintln!("Error processing chunk: {:?}", error)
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}
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}
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})
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.await;
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println!();
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}
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