- Use o3-pro throughout the codebase instead of o3-pro-2025-06-10
- Update test expectations to match o3-pro model name
- Update cassette to use o3-pro for consistency
- Ensure responses endpoint routing works correctly with o3-pro
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Co-Authored-By: Claude <noreply@anthropic.com>
- Use new output_text field format for o3-pro responses
- Update test expectations to use resolved model name o3-pro-2025-06-10
- Keep HTTP transport recorder and PII sanitization improvements
- Preserve both bug fix and recent GPT-5 updates
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Co-Authored-By: Claude <noreply@anthropic.com>
Improvements to model name resolution
Improved instructions for multi-step workflows when continuation is available
Improved instructions for chat tool
Improved preferred model resolution, moved code from registry -> each provider
Updated tests
- Update arguments parameter type hint from Optional[dict] to Optional[dict[str, Any]] in workflow_mixin.py
- Ensures consistency with BaseTool and improves static analysis and code clarity
- No functional changes, only type annotation improvement
Co-authored-by: gemini-code-assist[bot] <176961590+gemini-code-assist[bot]@users.noreply.github.com>
- Add LOCALE-based localization support to all workflow tools
- Harmonize method signatures for prepare_prompt and _prepare_file_content_for_prompt
- Remove obsolete methods and clarify comments
- Ensure consistent behavior between SimpleTool and WorkflowTool
The o3-pro test now clears the restriction service singleton in its
setup_method to ensure it re-reads environment variables set by the
@patch.dict decorator. This prevents cached restrictions from previous
tests (like test_fallback_with_shorthand_restrictions) from blocking
the o3-pro model.
This is a minimal, targeted fix that only affects the specific test
that needs it, without breaking other tests that may depend on the
restriction service state.
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Co-Authored-By: Claude <noreply@anthropic.com>
Replace @patch.dict decorator with pytest monkeypatch fixture in
test_fallback_with_shorthand_restrictions to ensure proper environment
variable cleanup between tests. This prevents OPENAI_ALLOWED_MODELS
from leaking into subsequent tests.
Also remove the manual clearing of _restriction_service singleton
as it's no longer needed with proper environment variable isolation.
This fixes test isolation issues where o3-pro tests would fail when
run after restriction tests due to environment variable persistence.
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Co-Authored-By: Claude <noreply@anthropic.com>
The test failures in CI were caused by tests with @pytest.mark.no_mock_provider
that prevented dummy API keys from being set. In CI with no real API keys,
this led to 'Model not available' errors.
Changed pytest_collection_modifyitems to always set dummy keys if missing,
regardless of markers. This ensures tests work in CI while still allowing
real API keys to be used when present.
Fixes test_conversation_field_mapping.py failures in CI across Python 3.10-3.12.
- Update docs/vcr-testing.md with new PII sanitization features
- Document transport_helpers.inject_transport() for simpler test setup
- Add sanitize_cassettes.py script documentation
- Update file structure to include all new components
- Fix PEP 8: Move copy import to top of openai_compatible.py
- Enhance security notes about automatic sanitization
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Co-Authored-By: Claude <noreply@anthropic.com>
- Removed excessive debug logging in http_transport_recorder.py
- Consolidated redundant log statements
- Fixed exception logging to use logger.exception()
- Removed emojis from log messages for cleaner output
- Removed __main__ block from test_o3_pro_output_text_fix.py per pytest conventions
- Applied black formatting to comply with CI checks
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fix test isolation by clearing LOCALE env var in o3-pro test
- Add restriction service cleanup in test_model_restrictions.py
- Fix PII sanitizer phone regex to not match timestamps
- Convert all print statements to logging in test files per PR review
- Re-record o3-pro cassette with correct environment
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fixed test_fallback_with_shorthand_restrictions to clear restriction
service singleton in finally block, preventing state leakage
- Updated o3-pro test to use @patch.dict for OPENAI_ALLOWED_MODELS,
following standard pattern and allowing both o3-pro and o3-pro-2025-06-10
- Removed invalid cassette file that had wrong request content
The test now passes in both isolated and full suite runs.
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Co-Authored-By: Claude <noreply@anthropic.com>
The test was failing when run in the full test suite because the
ModelRestrictionService singleton persisted restrictions from previous
tests. Specifically, test_fallback_with_shorthand_restrictions sets
OPENAI_ALLOWED_MODELS="mini" which blocked o3-pro.
Added utils.model_restrictions._restriction_service = None to ensure
the test starts with clean restriction state.
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Co-Authored-By: Claude <noreply@anthropic.com>
The bisect and simplified test files were created during investigation
to understand fixture requirements, but they test the same core functionality
as test_o3_pro_output_text_fix.py. Now that we have the final clean
implementation, these files are redundant.
Removed:
• test_o3_pro_fixture_bisect.py - 4 test methods testing fixture combinations
• test_o3_pro_simplified.py - 2 test methods testing minimal requirements
The main test_o3_pro_output_text_fix.py remains and covers all the necessary
o3-pro output_text parsing validation.
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Co-Authored-By: Claude <noreply@anthropic.com>
✨ Key improvements:
• Added public reset_for_testing() method to registry for clean test state management
• Updated test setup/teardown to use new public API instead of private attributes
• Enhanced inject_transport helper to ensure OpenAI provider registration
• Migrated additional test files to use inject_transport pattern
• Reduced code duplication by ~30 lines across test files
🔧 Technical details:
• transport_helpers.py: Always register OpenAI provider for transport tests
• test_o3_pro_output_text_fix.py: Use reset_for_testing() API, remove redundant registration
• test_o3_pro_fixture_bisect.py: Migrate all 4 test methods to inject_transport
• test_o3_pro_simplified.py: Migrate both test methods to inject_transport
• providers/registry.py: Add reset_for_testing() public method
✅ Quality assurance:
• All 7 o3-pro tests pass with new helper pattern
• No regression in test isolation or provider state management
• Improved maintainability through centralized transport injection
• Follows single responsibility principle with focused helper function
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Co-Authored-By: Claude <noreply@anthropic.com>
- Remove over-engineered allow_all_models fixture (6 operations → 1 line API key setting)
- Replace 10 lines of monkey patching boilerplate with 1-line inject_transport helper
- Remove cargo-cult error handling that allowed test to pass with API failures
- Create reusable transport_helpers.py for HTTP transport injection patterns
- Fix provider registration state pollution between batch test runs
- Test now works reliably in both individual and batch execution modes
The test is significantly cleaner and addresses root cause (provider registration timing)
rather than symptoms (cache clearing).
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add verification that o3-pro model was actually used (not just requested)
- Verify model_used and provider_used metadata fields are populated
- Add graceful handling for error responses in test
- Improve test documentation explaining what's being verified
- Confirm response parsing uses output_text field correctly
This ensures the test properly validates both that:
1. The o3-pro model was selected and used via the /v1/responses endpoint
2. The response metadata correctly identifies the model and provider
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fix TOCTOU race condition by removing os.path.exists() check before file open
- Move imports (base64, binascii, os, utils.file_types) to top of file
- Replace broad Exception catch with specific binascii.Error for base64 decoding
- Maintain proper error handling and test compatibility
Consolidates duplicated image validation logic from individual providers
into a reusable base class method. This improves maintainability and
ensures consistent validation across all providers.
- Added validate_image() method to ModelProvider base class
- Supports both file paths and data URLs
- Validates image format, size, and MIME types
- Added DEFAULT_MAX_IMAGE_SIZE_MB class constant (20MB)
- Refactored Gemini and OpenAI providers to use base validation
- Added comprehensive test suite with 19 tests
- Used minimal mocking approach with concrete test provider class
Modified run-server.sh to allow developers to set up the Python development
environment without having API keys configured. This enables:
- Developers to clone and immediately start working on the codebase
- Running tests that don't require API calls
- Browsing and understanding the code structure
- Adding API keys later when ready to test MCP server functionality
Changes:
- Added new check_api_keys() function that warns but doesn't exit
- Changed print_error to print_warning for missing keys
- Updated main() to use check_api_keys instead of validate_api_keys || exit 1
- Kept original validate_api_keys() for backward compatibility
The script now shows a warning when API keys are missing but continues
with the full Python environment setup, dependencies installation, and
Claude configuration.
- Fix lint errors: trailing whitespace and deprecated typing imports
- Update test mock for o3-pro response format (output.content[] → output_text)
- Implement robust test isolation with monkeypatch fixture
- Clear provider registry cache to prevent test interference
- Ensure o3-pro tests pass in both individual and full suite execution
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Co-Authored-By: Claude <noreply@anthropic.com>
- Add o3_pro_basic_math.json cassette for test_o3_pro_output_text_fix.py
- Remove unused o3_pro_content_capture.json cassette
- This allows tests to run without API keys in CI/CD
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Co-Authored-By: Claude <noreply@anthropic.com>
