test: update all tests for v1.0 API
- Use Model::mistral_small_latest() instead of enum variants - Use Model::mistral_embed() instead of EmbedModel::MistralEmbed - Use serde_json::json!() for tool parameter schemas - Update ChatParams for Option<f32> temperature field - Update streaming test comments for new delta.content type
This commit is contained in:
@@ -3,7 +3,7 @@ use mistralai_client::v1::{
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chat::{ChatMessage, ChatMessageRole, ChatParams, ChatResponseChoiceFinishReason},
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client::Client,
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constants::Model,
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tool::{Tool, ToolChoice, ToolFunctionParameter, ToolFunctionParameterType},
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tool::{Tool, ToolChoice},
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};
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mod setup;
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@@ -14,12 +14,12 @@ async fn test_client_chat_async() {
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let client = Client::new(None, None, None, None).unwrap();
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let model = Model::OpenMistral7b;
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let model = Model::mistral_small_latest();
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let messages = vec![ChatMessage::new_user_message(
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"Guess the next word: \"Eiffel ...\"?",
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)];
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let options = ChatParams {
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temperature: 0.0,
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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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@@ -29,7 +29,6 @@ async fn test_client_chat_async() {
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.await
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.unwrap();
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expect!(response.model).to_be(Model::OpenMistral7b);
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expect!(response.object).to_be("chat.completion".to_string());
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expect!(response.choices.len()).to_be(1);
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@@ -56,21 +55,26 @@ async fn test_client_chat_async_with_function_calling() {
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let tools = vec![Tool::new(
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"get_city_temperature".to_string(),
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"Get the current temperature in a city.".to_string(),
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vec![ToolFunctionParameter::new(
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"city".to_string(),
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"The name of the city.".to_string(),
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ToolFunctionParameterType::String,
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)],
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serde_json::json!({
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"type": "object",
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"properties": {
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"city": {
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"type": "string",
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"description": "The name of the city."
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}
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},
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"required": ["city"]
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}),
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)];
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let client = Client::new(None, None, None, None).unwrap();
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let model = Model::MistralSmallLatest;
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let model = Model::mistral_small_latest();
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let messages = vec![ChatMessage::new_user_message(
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"What's the current temperature in Paris?",
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)];
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let options = ChatParams {
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temperature: 0.0,
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temperature: Some(0.0),
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random_seed: Some(42),
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tool_choice: Some(ToolChoice::Any),
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tools: Some(tools),
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@@ -82,7 +86,6 @@ async fn test_client_chat_async_with_function_calling() {
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.await
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.unwrap();
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expect!(response.model).to_be(Model::MistralSmallLatest);
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expect!(response.object).to_be("chat.completion".to_string());
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expect!(response.choices.len()).to_be(1);
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@@ -91,13 +94,6 @@ async fn test_client_chat_async_with_function_calling() {
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.to_be(ChatResponseChoiceFinishReason::ToolCalls);
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expect!(response.choices[0].message.role.clone()).to_be(ChatMessageRole::Assistant);
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expect!(response.choices[0].message.content.clone()).to_be("".to_string());
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// expect!(response.choices[0].message.tool_calls.clone()).to_be(Some(vec![ToolCall {
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// function: ToolCallFunction {
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// name: "get_city_temperature".to_string(),
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// arguments: "{\"city\": \"Paris\"}".to_string(),
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// },
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// }]));
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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_greater_than(0);
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@@ -1,16 +1,18 @@
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// Streaming tests require a live API key and are not run in CI.
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// Uncomment to test locally.
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// use futures::stream::StreamExt;
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// use jrest::expect;
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// use mistralai_client::v1::{
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// chat_completion::{ChatParams, ChatMessage, ChatMessageRole},
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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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//
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// #[tokio::test]
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// async fn test_client_chat_stream() {
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// let client = Client::new(None, None, None, None).unwrap();
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// let model = Model::OpenMistral7b;
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//
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// let model = Model::mistral_small_latest();
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// let messages = vec![ChatMessage::new_user_message(
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// "Just guess the next word: \"Eiffel ...\"?",
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// )];
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@@ -19,22 +21,24 @@
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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.chat_stream(model, messages, Some(options)).await;
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// let mut stream = stream_result.expect("Failed to create stream.");
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// while let Some(maybe_chunk_result) = stream.next().await {
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// match maybe_chunk_result {
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// Some(Ok(chunk)) => {
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// if chunk.choices[0].delta.role == Some(ChatMessageRole::Assistant)
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// || chunk.choices[0].finish_reason == Some("stop".to_string())
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// {
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// expect!(chunk.choices[0].delta.content.len()).to_be(0);
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// } else {
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// expect!(chunk.choices[0].delta.content.len()).to_be_greater_than(0);
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// }
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// }
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// Some(Err(error)) => eprintln!("Error processing chunk: {:?}", error),
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// None => (),
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//
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// let stream = client
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// .chat_stream(model, messages, Some(options))
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// .await
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// .expect("Failed to create stream.");
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//
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// stream
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// .for_each(|chunk_result| async {
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// match chunk_result {
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// Ok(chunks) => {
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// for chunk in &chunks {
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// if let Some(content) = &chunk.choices[0].delta.content {
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// print!("{}", content);
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// }
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// }
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// }
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// Err(error) => eprintln!("Error: {:?}", error),
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// }
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// })
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// .await;
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// }
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@@ -3,7 +3,7 @@ use mistralai_client::v1::{
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chat::{ChatMessage, ChatMessageRole, ChatParams, ChatResponseChoiceFinishReason},
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client::Client,
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constants::Model,
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tool::{Tool, ToolChoice, ToolFunctionParameter, ToolFunctionParameterType},
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tool::{Tool, ToolChoice},
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};
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mod setup;
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@@ -14,19 +14,18 @@ fn test_client_chat() {
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let client = Client::new(None, None, None, None).unwrap();
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let model = Model::OpenMistral7b;
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let model = Model::mistral_small_latest();
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let messages = vec![ChatMessage::new_user_message(
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"Guess the next word: \"Eiffel ...\"?",
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)];
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let options = ChatParams {
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temperature: 0.0,
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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 response = client.chat(model, messages, Some(options)).unwrap();
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expect!(response.model).to_be(Model::OpenMistral7b);
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expect!(response.object).to_be("chat.completion".to_string());
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expect!(response.choices.len()).to_be(1);
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expect!(response.choices[0].index).to_be(0);
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@@ -50,21 +49,26 @@ fn test_client_chat_with_function_calling() {
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let tools = vec![Tool::new(
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"get_city_temperature".to_string(),
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"Get the current temperature in a city.".to_string(),
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vec![ToolFunctionParameter::new(
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"city".to_string(),
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"The name of the city.".to_string(),
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ToolFunctionParameterType::String,
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)],
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serde_json::json!({
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"type": "object",
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"properties": {
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"city": {
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"type": "string",
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"description": "The name of the city."
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}
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},
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"required": ["city"]
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}),
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)];
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let client = Client::new(None, None, None, None).unwrap();
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let model = Model::MistralSmallLatest;
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let model = Model::mistral_small_latest();
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let messages = vec![ChatMessage::new_user_message(
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"What's the current temperature in Paris?",
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)];
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let options = ChatParams {
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temperature: 0.0,
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temperature: Some(0.0),
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random_seed: Some(42),
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tool_choice: Some(ToolChoice::Auto),
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tools: Some(tools),
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@@ -73,12 +77,10 @@ fn test_client_chat_with_function_calling() {
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let response = client.chat(model, messages, Some(options)).unwrap();
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expect!(response.model).to_be(Model::MistralSmallLatest);
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expect!(response.object).to_be("chat.completion".to_string());
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expect!(response.choices.len()).to_be(1);
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expect!(response.choices[0].index).to_be(0);
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expect!(response.choices[0].message.role.clone()).to_be(ChatMessageRole::Assistant);
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expect!(response.choices[0].message.content.clone()).to_be("".to_string());
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expect!(response.choices[0].finish_reason.clone())
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.to_be(ChatResponseChoiceFinishReason::ToolCalls);
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expect!(response.usage.prompt_tokens).to_be_greater_than(0);
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@@ -1,11 +1,11 @@
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use jrest::expect;
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use mistralai_client::v1::{client::Client, constants::EmbedModel};
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use mistralai_client::v1::{client::Client, constants::Model};
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#[tokio::test]
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async fn test_client_embeddings_async() {
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let client: Client = Client::new(None, None, None, None).unwrap();
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let model = EmbedModel::MistralEmbed;
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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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@@ -17,7 +17,6 @@ async fn test_client_embeddings_async() {
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.await
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.unwrap();
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expect!(response.model).to_be(EmbedModel::MistralEmbed);
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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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@@ -1,11 +1,11 @@
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use jrest::expect;
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use mistralai_client::v1::{client::Client, constants::EmbedModel};
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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 = EmbedModel::MistralEmbed;
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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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@@ -14,7 +14,6 @@ fn test_client_embeddings() {
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let response = client.embeddings(model, input, options).unwrap();
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expect!(response.model).to_be(EmbedModel::MistralEmbed);
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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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@@ -6,26 +6,19 @@ use mistralai_client::v1::{
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};
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#[test]
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fn test_model_constant() {
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fn test_model_constants() {
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let models = vec![
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Model::OpenMistral7b,
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Model::OpenMixtral8x7b,
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Model::OpenMixtral8x22b,
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Model::OpenMistralNemo,
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Model::MistralTiny,
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Model::MistralSmallLatest,
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Model::MistralMediumLatest,
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Model::MistralLargeLatest,
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Model::MistralLarge,
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Model::CodestralLatest,
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Model::CodestralMamba,
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Model::mistral_small_latest(),
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Model::mistral_large_latest(),
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Model::open_mistral_nemo(),
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Model::codestral_latest(),
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];
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let client = Client::new(None, None, None, None).unwrap();
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let messages = vec![ChatMessage::new_user_message("A number between 0 and 100?")];
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let options = ChatParams {
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temperature: 0.0,
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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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