9318336f62
Implement full OpenAI-compatible tool-calling support across the proxy, enabling OpenCode to use llm-proxy as its sole LLM backend. - Add 9 tool-calling types (Tool, FunctionDef, ToolChoice, ToolCall, etc.) - Update ChatCompletionRequest/ChatMessage/ChatStreamDelta with tool fields - Update UnifiedRequest/UnifiedMessage to carry tool data through the pipeline - Shared helpers: messages_to_openai_json handles tool messages, build_openai_body includes tools/tool_choice, parse/stream extract tool_calls from responses - Gemini: full OpenAI<->Gemini format translation (functionDeclarations, functionCall/functionResponse, synthetic call IDs, tool_config mapping) - Gemini: extract duplicated message-conversion into shared convert_messages() - Server: SSE streams include tool_calls deltas, finish_reason='tool_calls' - AggregatingStream: accumulate tool call deltas across stream chunks - OpenAI provider: add o4- prefix to supports_model()
317 lines
12 KiB
Rust
317 lines
12 KiB
Rust
use axum::{
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Json, Router,
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extract::State,
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response::IntoResponse,
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response::sse::{Event, Sse},
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routing::post,
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};
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use futures::stream::StreamExt;
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use sqlx::Row;
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use std::sync::Arc;
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use tracing::{info, warn};
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use uuid::Uuid;
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use crate::{
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auth::AuthenticatedClient,
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errors::AppError,
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models::{
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ChatChoice, ChatCompletionRequest, ChatCompletionResponse, ChatCompletionStreamResponse, ChatMessage,
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ChatStreamChoice, ChatStreamDelta, Usage,
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},
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rate_limiting,
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state::AppState,
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};
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pub fn router(state: AppState) -> Router {
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Router::new()
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.route("/v1/chat/completions", post(chat_completions))
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.layer(axum::middleware::from_fn_with_state(
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state.clone(),
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rate_limiting::middleware::rate_limit_middleware,
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))
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.with_state(state)
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}
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async fn get_model_cost(
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model: &str,
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prompt_tokens: u32,
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completion_tokens: u32,
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provider: &Arc<dyn crate::providers::Provider>,
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state: &AppState,
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) -> f64 {
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// Check database for cost overrides
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let db_cost = sqlx::query("SELECT prompt_cost_per_m, completion_cost_per_m FROM model_configs WHERE id = ?")
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.bind(model)
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.fetch_optional(&state.db_pool)
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.await
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.unwrap_or(None);
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if let Some(row) = db_cost {
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let prompt_rate = row.get::<Option<f64>, _>("prompt_cost_per_m");
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let completion_rate = row.get::<Option<f64>, _>("completion_cost_per_m");
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if let (Some(p), Some(c)) = (prompt_rate, completion_rate) {
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return (prompt_tokens as f64 * p / 1_000_000.0) + (completion_tokens as f64 * c / 1_000_000.0);
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}
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}
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// Fallback to provider's registry-based calculation
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provider.calculate_cost(model, prompt_tokens, completion_tokens, &state.model_registry)
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}
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async fn chat_completions(
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State(state): State<AppState>,
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auth: AuthenticatedClient,
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Json(mut request): Json<ChatCompletionRequest>,
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) -> Result<axum::response::Response, AppError> {
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// Validate token against configured auth tokens
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if !state.auth_tokens.is_empty() && !state.auth_tokens.contains(&auth.token) {
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return Err(AppError::AuthError("Invalid authentication token".to_string()));
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}
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let start_time = std::time::Instant::now();
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let client_id = auth.client_id.clone();
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let model = request.model.clone();
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info!("Chat completion request from client {} for model {}", client_id, model);
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// Check if model is enabled in database and get potential mapping
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let model_config = sqlx::query("SELECT enabled, mapping FROM model_configs WHERE id = ?")
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.bind(&model)
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.fetch_optional(&state.db_pool)
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.await
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.unwrap_or(None);
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let (model_enabled, model_mapping) = match model_config {
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Some(row) => (row.get::<bool, _>("enabled"), row.get::<Option<String>, _>("mapping")),
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None => (true, None),
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};
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if !model_enabled {
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return Err(AppError::ValidationError(format!(
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"Model {} is currently disabled",
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model
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)));
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}
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// Apply mapping if present
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if let Some(target_model) = model_mapping {
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info!("Mapping model {} to {}", model, target_model);
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request.model = target_model;
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}
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// Find appropriate provider for the model
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let provider = state
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.provider_manager
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.get_provider_for_model(&request.model)
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.await
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.ok_or_else(|| AppError::ProviderError(format!("No provider found for model: {}", request.model)))?;
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let provider_name = provider.name().to_string();
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// Check circuit breaker for this provider
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rate_limiting::middleware::circuit_breaker_middleware(&provider_name, &state).await?;
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// Convert to unified request format
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let mut unified_request =
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crate::models::UnifiedRequest::try_from(request).map_err(|e| AppError::ValidationError(e.to_string()))?;
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// Set client_id from authentication
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unified_request.client_id = client_id.clone();
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// Hydrate images if present
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if unified_request.has_images {
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unified_request
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.hydrate_images()
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.await
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.map_err(|e| AppError::ValidationError(format!("Failed to process images: {}", e)))?;
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}
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let has_images = unified_request.has_images;
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// Check if streaming is requested
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if unified_request.stream {
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// Estimate prompt tokens for logging later
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let prompt_tokens = crate::utils::tokens::estimate_request_tokens(&model, &unified_request);
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// Handle streaming response
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let stream_result = provider.chat_completion_stream(unified_request).await;
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match stream_result {
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Ok(stream) => {
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// Record provider success
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state.rate_limit_manager.record_provider_success(&provider_name).await;
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// Wrap with AggregatingStream for token counting and database logging
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let aggregating_stream = crate::utils::streaming::AggregatingStream::new(
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stream,
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crate::utils::streaming::StreamConfig {
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client_id: client_id.clone(),
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provider: provider.clone(),
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model: model.clone(),
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prompt_tokens,
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has_images,
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logger: state.request_logger.clone(),
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client_manager: state.client_manager.clone(),
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model_registry: state.model_registry.clone(),
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db_pool: state.db_pool.clone(),
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},
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);
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// Create SSE stream from aggregating stream
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let sse_stream = aggregating_stream.map(move |chunk_result| {
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match chunk_result {
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Ok(chunk) => {
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// Convert provider chunk to OpenAI-compatible SSE event
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let response = ChatCompletionStreamResponse {
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id: format!("chatcmpl-{}", Uuid::new_v4()),
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object: "chat.completion.chunk".to_string(),
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created: chrono::Utc::now().timestamp() as u64,
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model: chunk.model.clone(),
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choices: vec![ChatStreamChoice {
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index: 0,
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delta: ChatStreamDelta {
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role: None,
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content: Some(chunk.content),
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reasoning_content: chunk.reasoning_content,
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tool_calls: chunk.tool_calls,
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},
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finish_reason: chunk.finish_reason,
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}],
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};
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match Event::default().json_data(response) {
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Ok(event) => Ok(event),
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Err(e) => {
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warn!("Failed to serialize SSE event: {}", e);
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Err(AppError::InternalError("SSE serialization failed".to_string()))
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}
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}
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}
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Err(e) => {
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warn!("Error in streaming response: {}", e);
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Err(e)
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}
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}
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});
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Ok(Sse::new(sse_stream).into_response())
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}
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Err(e) => {
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// Record provider failure
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state.rate_limit_manager.record_provider_failure(&provider_name).await;
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// Log failed request
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let duration = start_time.elapsed();
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warn!("Streaming request failed after {:?}: {}", duration, e);
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Err(e)
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}
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}
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} else {
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// Handle non-streaming response
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let result = provider.chat_completion(unified_request).await;
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match result {
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Ok(response) => {
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// Record provider success
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state.rate_limit_manager.record_provider_success(&provider_name).await;
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let duration = start_time.elapsed();
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let cost = get_model_cost(
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&response.model,
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response.prompt_tokens,
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response.completion_tokens,
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&provider,
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&state,
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)
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.await;
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// Log request to database
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state.request_logger.log_request(crate::logging::RequestLog {
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timestamp: chrono::Utc::now(),
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client_id: client_id.clone(),
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provider: provider_name.clone(),
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model: response.model.clone(),
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prompt_tokens: response.prompt_tokens,
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completion_tokens: response.completion_tokens,
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total_tokens: response.total_tokens,
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cost,
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has_images,
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status: "success".to_string(),
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error_message: None,
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duration_ms: duration.as_millis() as u64,
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});
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// Update client usage
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let _ = state
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.client_manager
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.update_client_usage(&client_id, response.total_tokens as i64, cost)
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.await;
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// Convert ProviderResponse to ChatCompletionResponse
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let finish_reason = if response.tool_calls.is_some() {
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"tool_calls".to_string()
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} else {
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"stop".to_string()
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};
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let chat_response = ChatCompletionResponse {
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id: format!("chatcmpl-{}", Uuid::new_v4()),
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object: "chat.completion".to_string(),
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created: chrono::Utc::now().timestamp() as u64,
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model: response.model,
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choices: vec![ChatChoice {
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index: 0,
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message: ChatMessage {
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role: "assistant".to_string(),
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content: crate::models::MessageContent::Text {
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content: response.content,
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},
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reasoning_content: response.reasoning_content,
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tool_calls: response.tool_calls,
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name: None,
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tool_call_id: None,
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},
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finish_reason: Some(finish_reason),
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}],
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usage: Some(Usage {
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prompt_tokens: response.prompt_tokens,
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completion_tokens: response.completion_tokens,
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total_tokens: response.total_tokens,
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}),
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};
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// Log successful request
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info!("Request completed successfully in {:?}", duration);
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Ok(Json(chat_response).into_response())
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}
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Err(e) => {
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// Record provider failure
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state.rate_limit_manager.record_provider_failure(&provider_name).await;
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// Log failed request to database
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let duration = start_time.elapsed();
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state.request_logger.log_request(crate::logging::RequestLog {
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timestamp: chrono::Utc::now(),
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client_id: client_id.clone(),
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provider: provider_name.clone(),
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model: model.clone(),
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prompt_tokens: 0,
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completion_tokens: 0,
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total_tokens: 0,
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cost: 0.0,
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has_images: false,
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status: "error".to_string(),
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error_message: Some(e.to_string()),
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duration_ms: duration.as_millis() as u64,
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});
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warn!("Request failed after {:?}: {}", duration, e);
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Err(e)
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}
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}
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}
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}
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