Struct OpenAiResponsesClient 

pub struct OpenAiResponsesClient { /* private fields */ }

Implementations

impl OpenAiResponsesClient

pub fn new(api_key: String, model: String, base_url: Option<String>) -> Self

pub fn new_with_config( api_key: String, model: String, base_url: Option<String>, config: LlmClientConfig, ) -> Self

Trait Implementations

impl StreamClient for OpenAiResponsesClient

fn stream<'life0, 'life1, 'life2, 'life3, 'life4, 'async_trait>( &'life0 self, messages: &'life1 [ChatMessage], tools: &'life2 [Value], reasoning: Option<&'life3 ReasoningConfig>, _response_format: Option<&'life4 ResponseFormat>, ) -> Pin<Box<dyn Future<Output = AgentResult<Pin<Box<dyn Stream<Item = AgentResult<StreamChunk>> + Send>>>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait, 'life4: 'async_trait,

Stream LLM response chunks from the provider.

fn capabilities(&self) -> LlmCapabilities

Return the provider’s capabilities.

fn model_name(&self) -> &str

The model name used by this client (e.g. “claude-sonnet”, “gpt-4o”). Default: “unknown”.

fn chat<'life0, 'life1, 'life2, 'life3, 'life4, 'async_trait>( &'life0 self, messages: &'life1 [ChatMessage], tools: &'life2 [Value], reasoning: Option<&'life3 ReasoningConfig>, response_format: Option<&'life4 ResponseFormat>, ) -> Pin<Box<dyn Future<Output = AgentResult<String>> + Send + 'async_trait>>

where Self: 'async_trait, 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, 'life3: 'async_trait, 'life4: 'async_trait,

Convenience: collect all StreamChunk::Text deltas into a single string.