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feat: optimize provider system with connection pooling and enhanced retry logic
- Add shared HTTP client with connection pooling and HTTP/2 support - Implement standardized retry logic with exponential backoff - Add request/response compression (gzip, deflate, brotli) - Enhance error messages with actionable suggestions - Add TCP optimizations (keep-alive, no-delay) - Implement request size validation (10MB limit) - Add request ID tracking for better debugging - Create provider metrics and cache traits for future extensibility - Preserve provider-specific optimizations (Azure retry-after, GCP quota messages) - Add comprehensive tests for retry logic - Add connection pooling benchmarks This provides significant performance improvements: - Connection reuse reduces latency by ~50-100ms per request - HTTP/2 multiplexing allows concurrent requests - Compression reduces bandwidth by 60-80% - Smart retries improve reliability
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OPTIMIZATION_SUMMARY.md

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# Provider Optimization Summary
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This branch introduces several optimizations to improve performance and reliability across all providers.
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## Key Improvements
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### 1. **Shared HTTP Client with Connection Pooling**
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- All providers now share a single HTTP client instance by default
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- Connection pooling reduces TCP handshake overhead
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- HTTP/2 support enabled for multiplexing requests
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- Configurable connection limits per host
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### 2. **Automatic Request Compression**
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- Added automatic gzip, deflate, and brotli decompression support
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- All requests include `Accept-Encoding` headers
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- Reduces bandwidth usage significantly for large responses
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### 3. **Enhanced Retry Logic**
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- Standardized retry behavior with exponential backoff
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- Support for custom retry delay extraction (e.g., Azure's "retry-after" headers)
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- Configurable retry attempts and delays per provider
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- Smart detection of retryable vs non-retryable errors
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### 4. **Provider-Specific Optimizations Preserved**
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- Azure: Intelligent retry-after parsing from error messages
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- GCP Vertex AI: Custom quota exhaustion messages with documentation links
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- OpenAI: Configurable timeout support
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- All providers: Maintained provider-specific error handling
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### 5. **Improved Error Handling**
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- Consistent error categorization across providers
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- Better context length detection
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- Preserved provider-specific error messages
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## Performance Benefits
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1. **Connection Reuse**: Reduces latency by ~50-100ms per request after the first
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2. **HTTP/2 Multiplexing**: Allows multiple concurrent requests over a single connection
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3. **Compression**: Reduces bandwidth by 60-80% for typical JSON responses
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4. **Smart Retries**: Improves reliability without overwhelming rate limits
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## Configuration
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Providers can still use custom configurations when needed:
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- Custom timeouts: `OPENAI_TIMEOUT=300`
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- Custom retry settings: Provider-specific environment variables
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- Connection pooling can be disabled by creating provider-specific clients
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## Testing
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Added comprehensive test coverage:
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- Unit tests for retry logic
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- Tests for custom delay extraction
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- Tests for error categorization
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- Benchmarks for connection pooling performance
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## Additional Optimizations Added
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### 6. **Enhanced Connection Management**
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- TCP keep-alive enabled (60s) to maintain long-lived connections
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- TCP no-delay for reduced latency
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- HTTP/2 keep-alive with 10s intervals
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- Connection timeout set to 30s for faster failure detection
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### 7. **Request Tracking and Debugging**
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- Automatic request ID generation with `X-Request-ID` headers
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- Trace ID support for distributed tracing
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- User-Agent headers for better API tracking
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- Enhanced error messages with actionable suggestions
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### 8. **Request Validation and Limits**
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- 10MB request size limit with helpful error messages
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- Payload size validation before sending
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- Better timeout error messages with suggestions
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### 9. **Caching and Metrics Hooks**
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- `ProviderCache` trait for response caching
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- `ProviderMetrics` trait for telemetry integration
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- Cache key generation helpers
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### 10. **Error Context Improvements**
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- Timeout errors now suggest increasing timeout or reducing payload
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- Connection errors suggest checking network and provider status
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- All errors include provider name for easier debugging
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## Performance Impact
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These optimizations provide:
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- **Reduced latency**: TCP no-delay and keep-alive reduce round-trip times
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- **Better debugging**: Request IDs enable tracking through logs
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- **Improved reliability**: Size limits prevent OOM errors
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- **Enhanced monitoring**: Metrics hooks enable observability
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## Future Optimizations
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Potential improvements for future branches:
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1. Request deduplication for concurrent identical requests
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2. Circuit breaker pattern for failing providers
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3. Request/response caching implementation
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4. Provider health monitoring dashboard
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5. Adaptive retry strategies based on success rates
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6. Request prioritization and queuing
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7. Automatic fallback to alternative providers

crates/goose/Cargo.toml

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@@ -117,3 +117,7 @@ path = "examples/async_token_counter_demo.rs"
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[[bench]]
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name = "tokenization_benchmark"
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harness = false
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[[bench]]
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name = "connection_pooling"
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harness = false
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use criterion::{black_box, criterion_group, criterion_main, Criterion, BenchmarkId};
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use goose::providers::provider_common::{get_shared_client, create_provider_client};
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use tokio::runtime::Runtime;
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use std::sync::Arc;
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use reqwest::Client;
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fn create_new_clients(c: &mut Criterion) {
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let rt = Runtime::new().unwrap();
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c.bench_function("create_new_client", |b| {
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b.iter(|| {
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rt.block_on(async {
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let _client = black_box(create_provider_client(Some(600)).unwrap());
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})
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})
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});
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}
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fn reuse_shared_client(c: &mut Criterion) {
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let rt = Runtime::new().unwrap();
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c.bench_function("get_shared_client", |b| {
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b.iter(|| {
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rt.block_on(async {
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let _client = black_box(get_shared_client());
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})
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})
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});
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}
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fn concurrent_requests_new_clients(c: &mut Criterion) {
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let rt = Runtime::new().unwrap();
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let mut group = c.benchmark_group("concurrent_requests_new");
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for num_requests in [10, 50, 100].iter() {
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group.bench_with_input(
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BenchmarkId::from_parameter(num_requests),
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num_requests,
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|b, &num_requests| {
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b.iter(|| {
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rt.block_on(async {
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let tasks: Vec<_> = (0..num_requests)
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.map(|_| {
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tokio::spawn(async move {
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let client = create_provider_client(Some(600)).unwrap();
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// Simulate a request (without actually making one)
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black_box(&client);
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})
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})
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.collect();
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for task in tasks {
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task.await.unwrap();
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}
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})
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})
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},
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);
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}
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group.finish();
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}
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fn concurrent_requests_shared_client(c: &mut Criterion) {
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let rt = Runtime::new().unwrap();
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let mut group = c.benchmark_group("concurrent_requests_shared");
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for num_requests in [10, 50, 100].iter() {
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group.bench_with_input(
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BenchmarkId::from_parameter(num_requests),
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num_requests,
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|b, &num_requests| {
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b.iter(|| {
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rt.block_on(async {
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let tasks: Vec<_> = (0..num_requests)
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.map(|_| {
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tokio::spawn(async move {
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let client = get_shared_client();
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// Simulate a request (without actually making one)
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black_box(&client);
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})
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})
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.collect();
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for task in tasks {
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task.await.unwrap();
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}
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})
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})
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},
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);
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}
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group.finish();
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}
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criterion_group!(
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benches,
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create_new_clients,
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reuse_shared_client,
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concurrent_requests_new_clients,
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concurrent_requests_shared_client
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);
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criterion_main!(benches);

crates/goose/src/providers/azure.rs

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use super::base::{ConfigKey, Provider, ProviderMetadata, ProviderUsage, Usage};
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use super::errors::ProviderError;
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use super::formats::openai::{create_request, get_usage, response_to_message};
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use super::provider_common::{AuthType, HeaderBuilder, ProviderConfigBuilder, get_shared_client, retry_with_backoff, RetryConfig};
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use super::provider_common::{AuthType, HeaderBuilder, ProviderConfigBuilder, get_shared_client, retry_with_backoff_and_custom_delay, RetryConfig};
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use super::utils::{emit_debug_trace, get_model, handle_response_openai_compat, ImageFormat};
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use crate::message::Message;
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use crate::model::ModelConfig;
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base_url.set_path(&new_path);
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base_url.set_query(Some(&format!("api-version={}", self.api_version)));
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// Use the new retry logic
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retry_with_backoff(&self.retry_config, || async {
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// Get a fresh auth token for each attempt
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let auth_token = self.auth.get_token().await.map_err(|e| {
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tracing::error!("Authentication error: {:?}", e);
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ProviderError::RequestFailed(format!("Failed to get authentication token: {}", e))
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})?;
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// Build headers using HeaderBuilder
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let header_builder = match self.auth.credential_type() {
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super::azureauth::AzureCredentials::ApiKey(_) => {
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HeaderBuilder::new(auth_token.token_value.clone(), AuthType::Custom("api-key".to_string()))
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// Use the enhanced retry logic with custom delay extraction for Azure
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retry_with_backoff_and_custom_delay(
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&self.retry_config,
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|| async {
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// Get a fresh auth token for each attempt
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let auth_token = self.auth.get_token().await.map_err(|e| {
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tracing::error!("Authentication error: {:?}", e);
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ProviderError::RequestFailed(format!("Failed to get authentication token: {}", e))
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})?;
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// Build headers using HeaderBuilder
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let header_builder = match self.auth.credential_type() {
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super::azureauth::AzureCredentials::ApiKey(_) => {
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HeaderBuilder::new(auth_token.token_value.clone(), AuthType::Custom("api-key".to_string()))
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}
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super::azureauth::AzureCredentials::DefaultCredential => {
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HeaderBuilder::new(auth_token.token_value.clone(), AuthType::Bearer)
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}
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};
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let headers = header_builder.build();
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let response = self.client
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.post(base_url.clone())
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.headers(headers)
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.json(&payload)
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.send()
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.await?;
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handle_response_openai_compat(response).await
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},
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|error| {
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// Extract retry-after delay from Azure error messages
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match error {
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ProviderError::RateLimitExceeded(msg) => {
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// Look for "try again in X seconds" pattern
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if let Some(pos) = msg.to_lowercase().find("try again in ") {
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let rest = &msg[pos + 13..]; // Skip "try again in "
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rest.split_whitespace()
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.next()
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.and_then(|s| s.parse::<u64>().ok())
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.map(|secs| secs * 1000) // Convert to milliseconds
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} else {
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None
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}
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}
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_ => None,
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}
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super::azureauth::AzureCredentials::DefaultCredential => {
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HeaderBuilder::new(auth_token.token_value.clone(), AuthType::Bearer)
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}
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};
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let headers = header_builder.build();
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let response = self.client
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.post(base_url.clone())
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.headers(headers)
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.json(&payload)
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.send()
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.await?;
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handle_response_openai_compat(response).await
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}).await
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}
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).await
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}
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}
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