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
26 lines
943 B
Rust
26 lines
943 B
Rust
use jrest::expect;
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use mistralai_client::v1::{client::Client, constants::Model};
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#[test]
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fn test_client_embeddings() {
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let client: Client = Client::new(None, None, None, None).unwrap();
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let model = Model::mistral_embed();
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let input = vec!["Embed this sentence.", "As well as this one."]
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.iter()
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.map(|s| s.to_string())
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.collect();
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let options = None;
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let response = client.embeddings(model, input, options).unwrap();
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expect!(response.object).to_be("list".to_string());
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expect!(response.data.len()).to_be(2);
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expect!(response.data[0].index).to_be(0);
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expect!(response.data[0].object.clone()).to_be("embedding".to_string());
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expect!(response.data[0].embedding.len()).to_be_greater_than(0);
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expect!(response.usage.prompt_tokens).to_be_greater_than(0);
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expect!(response.usage.completion_tokens).to_be(0);
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expect!(response.usage.total_tokens).to_be_greater_than(0);
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}
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