Struct OpenAIAdapter 

pub struct OpenAIAdapter { /* private fields */ }

OpenAI LLM adapter implementing LlmPort.

Implementations

impl OpenAIAdapter

pub fn new(config: OpenAIConfig) -> Result<OpenAIAdapter, String>

Create a new adapter from explicit configuration.

pub fn from_env() -> Result<OpenAIAdapter, String>

Create an adapter by loading configuration from environment variables.

impl OpenAIAdapter

pub fn is_vision_model(model: &str) -> bool

Check if a model supports vision.

Trait Implementations

impl LlmPort for OpenAIAdapter

fn generate<'life0, 'async_trait>( &'life0 self, request: LlmRequest, ) -> Pin<Box<dyn Future<Output = Result<LlmResponse, LlmError>> + Send + 'async_trait>>

where 'life0: 'async_trait, OpenAIAdapter: 'async_trait,

Generate a completion from the LLM

fn generate_stream<'life0, 'async_trait>( &'life0 self, request: LlmRequest, ) -> Pin<Box<dyn Future<Output = Result<Box<dyn Stream<Item = Result<StreamingResponse, LlmError>> + Send>, LlmError>> + Send + 'async_trait>>

where 'life0: 'async_trait, OpenAIAdapter: 'async_trait,

Generate a streaming completion from the LLM

fn validate_model<'life0, 'life1, 'async_trait>( &'life0 self, model: &'life1 str, ) -> Pin<Box<dyn Future<Output = Result<bool, LlmError>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, OpenAIAdapter: 'async_trait,

Validate if a model is available from this provider

fn get_available_models<'life0, 'async_trait>( &'life0 self, ) -> Pin<Box<dyn Future<Output = Result<Vec<String>, LlmError>> + Send + 'async_trait>>

where 'life0: 'async_trait, OpenAIAdapter: 'async_trait,

Get a list of available models from this provider

fn get_provider_name(&self) -> &'static str

Get the provider name

fn get_capabilities(&self) -> ProviderCapabilities

Get the capabilities of this provider

impl VisionCapableLlm for OpenAIAdapter

fn generate_with_vision<'life0, 'async_trait>( &'life0 self, request: LlmRequest, vision: VisionRequest, ) -> Pin<Box<dyn Future<Output = Result<LlmResponse, LlmError>> + Send + 'async_trait>>

where 'life0: 'async_trait, OpenAIAdapter: 'async_trait,

Generate a completion with both text and vision inputs.

fn supports_vision(&self) -> bool

Check if this provider supports vision capabilities.

impl VisionPort for OpenAIAdapter

fn analyze_image<'life0, 'life1, 'life2, 'async_trait>( &'life0 self, prompt: &'life1 str, images: Vec<VisionContent>, model: &'life2 str, max_tokens: Option<u32>, ) -> Pin<Box<dyn Future<Output = Result<VisionResult, VisionError>> + Send + 'async_trait>>

where 'life0: 'async_trait, 'life1: 'async_trait, 'life2: 'async_trait, OpenAIAdapter: 'async_trait,

Analyze one or more images with a text prompt

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

Check if a specific model supports vision

fn provider_name(&self) -> &str

Get the provider name (e.g., “openai”, “anthropic”)