Struct MockLLMProvider 

pub struct MockLLMProvider { /* private fields */ }

Mock LLM Provider（用于测试）

Implementations

impl MockLLMProvider

pub fn new(name: &str) -> MockLLMProvider

创建 Mock Provider

pub fn with_default_response( self, response: impl Into<String>, ) -> MockLLMProvider

设置默认响应

pub async fn add_response(&self, response: impl Into<String>)

添加预设响应（按顺序返回）

Trait Implementations

impl LLMProvider for MockLLMProvider

fn name(&self) -> &str

获取提供商名称

fn default_model(&self) -> &str

获取默认模型

fn supported_models(&self) -> Vec<&str>

获取支持的模型列表

fn supports_streaming(&self) -> bool

检查是否支持流式输出

fn supports_tools(&self) -> bool

检查是否支持工具调用

fn chat<'life0, 'async_trait>( &'life0 self, _request: ChatCompletionRequest, ) -> Pin<Box<dyn Future<Output = Result<ChatCompletionResponse, LLMError>> + Send + 'async_trait>>

where 'life0: 'async_trait, MockLLMProvider: 'async_trait,

发送 Chat Completion 请求

fn supports_model(&self, model: &str) -> bool

检查是否支持某个模型

fn supports_vision(&self) -> bool

检查是否支持视觉（图片输入）

fn supports_embedding(&self) -> bool

检查是否支持 embedding

fn chat_stream<'life0, 'async_trait>( &'life0 self, _request: ChatCompletionRequest, ) -> Pin<Box<dyn Future<Output = Result<Pin<Box<dyn Stream<Item = Result<ChatCompletionChunk, LLMError>> + Send>>, LLMError>> + Send + 'async_trait>>

where 'life0: 'async_trait, Self: 'async_trait,

发送 Chat Completion 流式请求

fn embedding<'life0, 'async_trait>( &'life0 self, _request: EmbeddingRequest, ) -> Pin<Box<dyn Future<Output = Result<EmbeddingResponse, LLMError>> + Send + 'async_trait>>

where 'life0: 'async_trait, Self: 'async_trait,

发送 Embedding 请求

fn health_check<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<bool, LLMError>> + Send + 'async_trait>>

where 'life0: 'async_trait, Self: 'async_trait,

健康检查

fn get_model_info<'life0, 'life1, 'async_trait>( &'life0 self, _model: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<ModelInfo, LLMError>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, Self: 'async_trait,

获取模型信息