Struct OpenAIClient

pub struct OpenAIClient { /* private fields */ }

OpenAI 客戶端實作 OpenAI 客戶端實作

Implementations

impl OpenAIClient

pub fn new( api_key: String, model: String, temperature: f32, retry_attempts: u32, retry_delay_ms: u64, ) -> Self

建立新的 OpenAIClient (使用預設 base_url)

pub fn new_with_base_url( api_key: String, model: String, temperature: f32, retry_attempts: u32, retry_delay_ms: u64, base_url: String, ) -> Self

建立新的 OpenAIClient，支援自訂 base_url

pub fn from_config(config: &AIConfig) -> Result<Self>

從統一配置建立客戶端

impl OpenAIClient

pub fn build_analysis_prompt(&self, request: &AnalysisRequest) -> String

建立內容分析的 Prompt

pub fn parse_match_result(&self, response: &str) -> Result<MatchResult>

從 AI 回應中解析匹配結果

pub fn build_verification_prompt(&self, request: &VerificationRequest) -> String

建立匹配驗證的 Prompt

pub fn parse_confidence_score(&self, response: &str) -> Result<ConfidenceScore>

從 AI 回應中解析信心度分數

Trait Implementations

impl AIProvider for OpenAIClient

fn analyze_content<'life0, 'async_trait>( &'life0 self, request: AnalysisRequest, ) -> Pin<Box<dyn Future<Output = Result<MatchResult>> + Send + 'async_trait>>

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

分析多媒體檔案和字幕檔案的匹配結果

fn verify_match<'life0, 'async_trait>( &'life0 self, verification: VerificationRequest, ) -> Pin<Box<dyn Future<Output = Result<ConfidenceScore>> + Send + 'async_trait>>

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

驗證檔案匹配的信心度

impl Debug for OpenAIClient

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.