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mistralai-client-rs/tests/v1_constants_test.rs
Sienna Meridian Satterwhite 79bc40bb15
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Update to latest Mistral AI API (v1.0.0)
- 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
2026-03-20 17:16:26 +00:00

38 lines
1.1 KiB
Rust

use jrest::expect;
use mistralai_client::v1::{
chat::{ChatMessage, ChatParams},
client::Client,
constants::Model,
};
#[test]
fn test_model_constants() {
let models = vec![
Model::mistral_small_latest(),
Model::mistral_large_latest(),
Model::open_mistral_nemo(),
Model::codestral_latest(),
];
let client = Client::new(None, None, None, None).unwrap();
let messages = vec![ChatMessage::new_user_message("A number between 0 and 100?")];
let options = ChatParams {
temperature: Some(0.0),
random_seed: Some(42),
..Default::default()
};
for model in models {
let response = client
.chat(model.clone(), messages.clone(), Some(options.clone()))
.unwrap();
expect!(response.model).to_be(model);
expect!(response.object).to_be("chat.completion".to_string());
expect!(response.choices.len()).to_be(1);
expect!(response.choices[0].index).to_be(0);
expect!(response.choices[0].message.content.len()).to_be_greater_than(0);
}
}