use async_openai::{Client, config::Config, types::chat::CreateChatCompletionRequest};
use tracing::debug;
use super::mappers::{map_messages, map_tools};
use crate::provider::validate_reasoning;
use crate::providers::openai_compatible::create_custom_stream_generic;
use crate::providers::response_stream::error_stream;
use crate::{Context, LlmResponseStream, Result, StreamingModelProvider};
use std::time::Duration;
pub trait OpenAiChatProvider {
type Config: Config + Clone + 'static;
fn client(&self) -> &Client<Self::Config>;
fn model(&self) -> &str;
fn provider_name(&self) -> &str;
fn idle_timeout(&self) -> Duration;
}
impl<T: OpenAiChatProvider + Send + Sync> StreamingModelProvider for T {
fn stream_response(&self, context: &Context) -> LlmResponseStream {
try_stream_response(self, context).unwrap_or_else(error_stream)
}
fn context_window(&self) -> Option<u32> {
None
}
fn display_name(&self) -> String {
let model = self.model();
if model.is_empty() { self.provider_name().to_string() } else { format!("{} ({model})", self.provider_name()) }
}
}
fn try_stream_response<T: OpenAiChatProvider>(provider: &T, context: &Context) -> Result<LlmResponseStream> {
validate_reasoning(context, None)?;
let model = provider.model().to_string();
let messages = map_messages(context.messages())?;
let message_count = messages.len();
let tools = if context.tools().is_empty() { None } else { Some(map_tools(context.tools(), None)?) };
debug!("Starting chat completion stream for model: {model} with {message_count} messages");
let request = CreateChatCompletionRequest { model, messages, tools, stream: Some(true), ..Default::default() };
Ok(create_custom_stream_generic(provider.client(), request, provider.idle_timeout()))
}
#[cfg(test)]
mod tests {
use futures::StreamExt;
use super::*;
use crate::providers::local::ollama::OllamaProvider;
use crate::providers::test_capture_server::{CaptureServer, ResponseSpec, hello_context};
use crate::{LlmError, LlmResponse, ProviderConnectionConfig, ProviderErrorKind, ProviderFactory};
#[tokio::test]
async fn local_provider_honors_configured_idle_timeout() {
let spec = ResponseSpec::sse(include_str!("../../../tests/fixtures/openai/01_minimal.sse"))
.paced(Duration::from_mins(2));
let mut server = CaptureServer::start_with_spec(spec).await;
let connection = ProviderConnectionConfig {
base_url: Some(server.base_url.clone()),
idle_timeout: Duration::from_mins(1),
..Default::default()
};
let provider = OllamaProvider::from_env_with_connection(connection).await.unwrap().with_model("test-model");
let responses = server.collect_on_paused_clock(provider.stream_response(&hello_context())).await;
let error = responses.last().and_then(|response| response.as_ref().err()).and_then(LlmError::provider);
assert_eq!(error.map(|error| error.kind), Some(ProviderErrorKind::Timeout), "{responses:?}");
}
#[tokio::test]
async fn local_chat_providers_omit_cache_metadata() {
let mut server = CaptureServer::start_chat_completions().await;
let provider = OllamaProvider::new("test-model", &server.base_url);
let mut context = hello_context();
context.set_prompt_cache_key(Some("prefix-abc".to_string()));
context.set_session_affinity_key(Some("conversation-abc".to_string()));
let responses = provider.stream_response(&context).collect::<Vec<_>>().await;
let captured = server.captured().await;
assert!(responses.iter().all(Result::is_ok), "{responses:?}");
assert!(responses.iter().any(|response| matches!(response, Ok(LlmResponse::Done { .. }))));
assert_eq!(captured.path, "/v1/chat/completions");
assert!(captured.body.get("prompt_cache_key").is_none());
assert!(captured.body.get("session_id").is_none());
assert!(captured.body.get("user").is_none());
}
}