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…ardization, and utilities
Core infrastructure improvements:
- Smart 'latest' model alias resolution with cost-based tiebreaking
- Standardized error responses with proper HTTP status codes and error.code field
- ProxyExhaustionError for structured credential exhaustion reporting
- TerminalRequestError for non-rotatable errors (404, model not found)
- Per-provider retry count override via MAX_RETRIES_{PROVIDER} env var
- Retry 429 rate_limit errors with backoff instead of rotating
- Cached token pricing in streaming cost calculation
- Split quota stats into current_period and global/lifetime views
- Log rotation for proxy.log and proxy_debug.log (RotatingFileHandler)
- Include latest virtual models in /v1/models endpoint
- Resolve singleton cache pollution for dynamic providers
- Fork-specific README and .gitignore updates
…ased model filtering, and enhanced X-Initiator heuristic
Test suite designed to catch breakage from branch re-organization without sending queries to real LLM providers. Covers all critical integration points that previously broke silently during deployment. Coverage: - Anthropic↔OpenAI format translation & streaming - Error classification (determines retry/rotation behavior) - Request sanitization (prevents 400s from invalid params) - Provider-specific request transforms - Model alias & latest registry parsing - Usage tracking (windows, quota groups, custom caps) - Credential discovery, deduplication, env:// URI - Provider plugin registration & singleton pattern - Proxy endpoint routing & auth All tests use synthetic credentials and mocked HTTP. Runs in ~2.3s. Zero API cost.
…flow Replaces the old manifest-driven multi-branch replay system with a simpler linear commit stack. Changes are made via fixup!/autosquash. Upstream syncs are a single git rebase. Includes: - AGENTS.md: entry point for all AI coding agents - .agent/rules/claude.md: Claude-specific SSH/deployment notes - .agent/rules/llm-proxy.md: container layout and deployment pipeline - .agent/skills/upstream-sync/SKILL.md: sync workflow reference
Custom provider for Google Vertex AI Express Mode API keys that uses x-goog-api-key header authentication against the Vertex AI OpenAI-compatible endpoint. Supports non-streaming and streaming chat completions with automatic model discovery. Models are prefixed as vertex/ (e.g. vertex/gemini-3.1-flash-lite-preview). Env vars: VERTEX_PROJECT, VERTEX_LOCATION, VERTEX_API_KEY_N
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Code Review
This pull request introduces a new test case, test_safe_write_json_oserror_buffering, to verify that safe_write_json correctly handles OSError by buffering the write operation. The review feedback suggests cleaning up unused imports and improving the test's robustness by asserting the specific arguments passed to the registry's register_pending method.
| import os | ||
| import json | ||
| import logging | ||
| from unittest.mock import patch, mock_open, MagicMock | ||
| from pathlib import Path |
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Several imports are unused in this test file (os, json, mock_open, Path). Removing them improves code cleanliness. Additionally, ANY is added to support more specific assertions in the test logic.
| import os | |
| import json | |
| import logging | |
| from unittest.mock import patch, mock_open, MagicMock | |
| from pathlib import Path | |
| import logging | |
| from unittest.mock import ANY, MagicMock, patch |
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| assert result is False | ||
| mock_mkstemp.assert_called_once() | ||
| mock_registry_instance.register_pending.assert_called_once() |
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It is recommended to verify the arguments passed to register_pending to ensure the correct data and configuration are being buffered. Since the serializer is a local function, ANY is used to match it.
| mock_registry_instance.register_pending.assert_called_once() | |
| mock_registry_instance.register_pending.assert_called_once_with( | |
| path, data, ANY, {"secure_permissions": False} | |
| ) |
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[Gemini-CLI Review Skill] @jules Reviewing this PR against the checklist and Gemini Code Assist feedback:
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I have updated the assertions to verify specific arguments on |
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[Gemini-CLI Review Skill] Consolidated into the linear commit stack on dev. |
Acknowledged. |
🎯 What: The testing gap addressed was missing tests for
safe_write_jsonerror fallback handling inresilient_io.py.📊 Coverage: Now tests the scenario where
tempfile.mkstempfails with anOSError, ensuring that thebuffer_on_failurefallback mechanism registers the pending write withBufferedWriteRegistry.✨ Result: Enhanced test coverage and reliability around the resilient IO utility functions, catching regressions in file write buffering.
PR created automatically by Jules for task 15860739152021086132 started by @b3nw