fix: resolve CodeQL syntax errors, type checking issues, and update dependency version bounds #45
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… files - Fix TypeScript syntax errors in contextforgeClient.ts: - Fix missing JSDoc comment opening - Fix method call parameter mismatch in shouldRetry - Implement complete v1Checkpoint method - Remove orphaned code blocks - Fix Python syntax errors in test_vulnerability_scripts.py: - Remove duplicate @patch decorators - Remove invalid @@ syntax characters - Fix malformed test structure - Remove empty test_optional_properties.ts file - Add test_syntax.py for syntax validation Resolves CodeQL parse errors for both JavaScript/TypeScript and Python languages
- Add strict guidelines against using --no-verify flag - Emphasize fixing all errors before pushing - Add detailed explanations of why --no-verify is dangerous - Provide specific solutions for common pre-commit failures - Update Python, testing, and general rules with quality gates - Ensure CI/CD alignment by preventing bypassed checks This prevents CI failures and maintains code quality standards.
- Add type: ignore comments to tiktoken import in openai.py - Add type: ignore comments to handler imports in test files - Fix import resolution errors for dynamic path manipulation - All type checking now passes with 0 errors, 0 warnings Resolves pyright type checking issues: - tiktoken import error in src/contextforge_memory/summarize/openai.py - handlers.json_handler import error in tests/test_json_handler.py - handlers.toml_handler import error in tests/test_toml_handler.py
📝 WalkthroughWalkthroughSimplifies a test's mock decorators, adds a new TypeScript client method Changes
Sequence Diagram(s)sequenceDiagram
participant Client as ContextForgeClient
participant HTTP as HTTP Fetch
participant API as /v1/checkpoint
rect rgba(173,216,230,0.12)
Client->>Client: validate(session_id, phase, summary?, metadata?)
Client->>HTTP: fetchWithRetry(POST /v1/checkpoint, body)
end
rect rgba(144,238,144,0.12)
HTTP->>API: POST request
API-->>HTTP: 200 / error
end
alt success
HTTP-->>Client: response (parsed)
Client->>Client: return { ok: true }
else error
HTTP-->>Client: response/error
Client->>Client: parseErrorBody(response)
Client->>Client: shouldRetry(lastError) -> maybe retry with delay (logged)
end
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes Possibly related PRs
Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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🧰 Additional context used📓 Path-based instructions (3){pyproject.toml,requirements*.txt,Pipfile*,package*.json,pnpm-lock.yaml,uv.lock}⚙️ CodeRabbit configuration file
Files:
src/**/*.py⚙️ CodeRabbit configuration file
Files:
clients/typescript/**⚙️ CodeRabbit configuration file
Files:
🔇 Additional comments (9)
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.cursor/rules/general.mdcis excluded by none and included by none.cursor/rules/python.mdcis excluded by none and included by none.cursor/rules/testing.mdcis excluded by none and included by nonetest_syntax.pyis excluded by none and included by nonetests/test_json_handler.pyis excluded by none and included by nonetests/test_toml_handler.pyis excluded by none and included by none
📒 Files selected for processing (3)
.github/scripts/test_vulnerability_scripts.py(0 hunks)clients/typescript/contextforgeClient.ts(3 hunks)src/contextforge_memory/summarize/openai.py(1 hunks)
💤 Files with no reviewable changes (1)
- .github/scripts/test_vulnerability_scripts.py
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📓 Path-based instructions (10)
**/*.py
📄 CodeRabbit inference engine (.cursor/rules/fastapi.mdc)
**/*.py: Use Pydantic models for all request and response bodies with field validators
Use @field_validator and @model_validator for Pydantic validation
Include proper type hints and default values in Pydantic models
Use Field() for additional validation constraints (e.g., min_length, min_items)
Design RESTful endpoints and return proper HTTP status codes
Require a namespace field for namespace-based multi-tenancy
Version APIs via URL paths (/v0/, /v1/)
Support optional x-api-key header authentication
Use HTTPException with descriptive messages for error cases
Use dependency injection for auth via _require_api_key
Validate API keys using secrets.compare_digest
Return 401 Unauthorized for invalid or missing API keys
Preserve startup and shutdown lifecycle hooks
Log service state during startup and shutdown
Perform proper cleanup in shutdown events (cancel tasks, close pools)
Maintain backward compatibility for v0 endpoints while adding v1
Use appropriate HTTP status codes (400, 401, 404, 500) in handlers
Provide clear error messages in response bodies
Log errors with appropriate context
Validate all inputs via Pydantic models
Enforce request size limits (64KB total text; max 100 items per batch)
Return structured error responses (e.g., error, message, details)
Implement per-namespace rate limiting via middleware
Use token-bucket or sliding-window algorithms for rate limiting
Return 429 Too Many Requests with a Retry-After header when limited
Log rate limit violations for monitoring
Ensure FastAPI response_model matches the actual return type and structure
Register exception handlers to return structured error responses (e.g., 422, 401)
Expose version-specific endpoints (e.g., /v0/store and /v1/store)
Add deprecation headers and use deprecated=True for legacy endpoints
Require x-api-key header and validate via a dependency for protected endpoints
Create and verify JWT tokens; return 401 on expired/invalid tokens
Implement OAuth2 flows using OAuth2PasswordBearer and ...
Files:
src/contextforge_memory/summarize/openai.py
{src,clients}/**/*.py
📄 CodeRabbit inference engine (.cursor/rules/performance.mdc)
{src,clients}/**/*.py: NEVER use time.time() (or similar non-deterministic calls) in dataclass default values or as implicit identifiers
Require explicit timestamp parameters for time-based operations instead of default_factory=time.time
Ensure predictable ordering in collections/iterations (e.g., sort by key/ts before slicing/returning)
Avoid hidden randomness; use secrets for IDs and require explicit seeding for test randomness
Use async/await for I/O-bound operations (e.g., httpx.AsyncClient)
Use ThreadPoolExecutor (or run_in_executor) for CPU-bound work instead of async event loop
Reuse/pool HTTP connections (httpx AsyncClient with Limits) and close clients properly
Avoid memory leaks: evict from caches when size limits reached and update access timestamps deterministically
Perform proper resource cleanup: close/await-close resources, cancel pending tasks, and gather with return_exceptions
Implement bounded caches (e.g., LRU with OrderedDict and max_size) for memory control
Batch external/index/database operations to reduce overhead and yield control (e.g., asyncio.sleep(0))
Enforce pagination limits on requests (e.g., limit <= 100, offset bounds) via validation
Optimize vector index operations: normalize vectors, use NumPy dot, argpartition, and top-k sorting
Implement retries with exponential backoff and optional jitter for transient failures
Use a circuit breaker with failure thresholds and time-based reset for external calls
Use TTL caches with explicit expirations and support explicit/pattern invalidation
Use memory-bounded caches by tracking approximate memory and evicting LRU when exceeding limits
Configure HTTP client timeouts and connection pool limits (connect/read/write/pool, keepalive)
Bound request sizes and item counts (e.g., total text <= 64KB, <= 100 items) via validators
Configure thread pool size relative to CPU cores and use a shared executor where appropriate
{src,clients}/**/*.py: NEVER hardcode secrets, API keys, passwords, or tokens i...
Files:
src/contextforge_memory/summarize/openai.py
**/*
📄 CodeRabbit inference engine (.cursor/rules/security.mdc)
Avoid committing content matching common secret patterns (e.g., sk-..., AKIA..., ghp_..., password='...')
Files:
src/contextforge_memory/summarize/openai.pyclients/typescript/contextforgeClient.ts
src/**/*.py
📄 CodeRabbit inference engine (CONTRIBUTING.md)
src/**/*.py: API code should follow RESTful principles
Implement robust error handling and input validation in API endpoints
Apply security best practices (input validation, authentication) in API code
Consider performance implications in API implementations
Include type hints and documentation in API code
Follow FastAPI best practices
Use consistent naming conventions for API resources
Provide clear error messages in API responses
Return proper HTTP status codes in API endpoints
Files:
src/contextforge_memory/summarize/openai.py
⚙️ CodeRabbit configuration file
src/**/*.py: Enforce FastAPI + Pydantic v2 best practices, input validation, and security (authn/z, secrets handling).
Check deterministic behavior (no hidden time/random/network nondeterminism without explicit guards).
Verify timeouts/retries/backoff around I/O, structured logging, and type hints throughout.
Prefer Ruff rules; flag potential performance pitfalls and memory growth in long-running workers.
Files:
src/contextforge_memory/summarize/openai.py
{src,clients/python,tests}/**/*.py
📄 CodeRabbit inference engine (CONTRIBUTING.md)
{src,clients/python,tests}/**/*.py: Follow PEP 8 style for Python code
Use type hints for all functions and methods in Python
Write docstrings for public Python functions
Keep Python functions small and focused with single responsibility
Use meaningful, descriptive variable names in Python
Files:
src/contextforge_memory/summarize/openai.py
{src,clients/python}/**/*.py
📄 CodeRabbit inference engine (CONTRIBUTING.md)
Include examples in Python docstrings for API documentation
Files:
src/contextforge_memory/summarize/openai.py
clients/typescript/**
📄 CodeRabbit inference engine (.cursor/rules/general.mdc)
Update TypeScript client types and examples to match API changes
TypeScript client should use Husky with fast pre-commit checks and smoke-test pre-push workflow
Files:
clients/typescript/contextforgeClient.ts
⚙️ CodeRabbit configuration file
clients/typescript/**: Ensure strict typing, accurate DTOs from OpenAPI, consistent error shapes, and robust timeout/retry semantics.
Prefer fetch/axios configurations with sane defaults; avoid throwing ambiguous any-typed errors.
Files:
clients/typescript/contextforgeClient.ts
clients/typescript/**/*.ts
📄 CodeRabbit inference engine (.cursor/rules/typescript.mdc)
clients/typescript/**/*.ts: Use strict typing with interfaces for request/response objects (e.g., MemoryItem, StoreRequest, StoreResponse) and avoid weakly typed functions
Generate DTOs from the OpenAPI spec (e.g., using openapi-typescript) instead of writing manual DTOs to prevent drift
Avoid any; prefer specific types or unknown with type guards for processing API data
Implement a consistent ApiError shape and a base ContextForgeError class for API errors
Use typed exception subclasses (AuthenticationError, ValidationError, RateLimitError) and branch on them explicitly
Map technical error codes to user-friendly messages via a central ERROR_MESSAGES map and a helper (getUserFriendlyMessage)
Implement retry logic with configurable RetryConfig (maxRetries, baseDelay, maxDelay, jitter) and exponential backoff
Only retry on transient conditions (network errors, rate limits, server errors) via a shouldRetry predicate
HTTP client should use fetch with sane defaults: baseUrl, headers, JSON body, timeout via AbortController, and throw on non-OK responses
Use keep-alive/connection pooling where supported (e.g., Connection: keep-alive) to reuse connections
Support request/response interceptors to transform requests and responses centrally
Use zod for runtime validation of requests and responses; throw ValidationError on invalid data
Validate inputs: namespaces (non-empty, <=100, /^[a-zA-Z0-9_-]+$/), text (non-empty, <=65536), items array (1..100)
Code quality: No any types used in the codebase
Code quality: All functions declare explicit return types
Code quality: Timeouts are configured for HTTP requests (e.g., via AbortController)
Code quality: Public types are exported properly (e.g., DTOs, client interfaces)
Files:
clients/typescript/contextforgeClient.ts
clients/**/*
📄 CodeRabbit inference engine (CONTRIBUTING.md)
clients/**/*: Client libraries should follow sound API client design patterns
Client libraries must implement error handling and retry logic where appropriate
Ensure type safety and clear interfaces in client libraries
Provide documentation and examples for client libraries
Maintain cross-platform compatibility in client libraries
Files:
clients/typescript/contextforgeClient.ts
clients/typescript/**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (CONTRIBUTING.md)
Enforce ESLint + Prettier standards in the TypeScript client
Files:
clients/typescript/contextforgeClient.ts
🔇 Additional comments (3)
src/contextforge_memory/summarize/openai.py (1)
19-25: Appropriate use of type: ignore for optional dependency.The type annotations correctly suppress pyright errors for the optional tiktoken import using specific error codes. This is the recommended approach for third-party libraries that lack type stubs.
clients/typescript/contextforgeClient.ts (2)
192-207: LGTM - Clean error body parsing helper.The method safely extracts error details from responses with proper content-type checking and fallback handling.
252-280: Excellent refactoring of retry logic and logging.The retry decision now consistently uses the
shouldRetrypredicate, and the enhanced structured logging significantly improves observability for debugging transient failures.
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
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♻️ Duplicate comments (2)
clients/typescript/contextforgeClient.ts (2)
514-546: Metadata validation is still missing.As previously noted in the review, the optional
metadataparameter lacks validation. Per coding guidelines and for consistency withvalidateMemoryItem(lines 312-316), you should reject non-object values (arrays, null, primitives).
527-529: Consider consolidating summary validation.As previously noted, the two-step validation can be combined into a single conditional for brevity, though the current implementation is functionally correct.
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clients/typescript/contextforgeClient.ts(3 hunks)
🧰 Additional context used
📓 Path-based instructions (5)
clients/typescript/**
📄 CodeRabbit inference engine (.cursor/rules/general.mdc)
Update TypeScript client types and examples to match API changes
TypeScript client should use Husky with fast pre-commit checks and smoke-test pre-push workflow
Files:
clients/typescript/contextforgeClient.ts
⚙️ CodeRabbit configuration file
clients/typescript/**: Ensure strict typing, accurate DTOs from OpenAPI, consistent error shapes, and robust timeout/retry semantics.
Prefer fetch/axios configurations with sane defaults; avoid throwing ambiguous any-typed errors.
Files:
clients/typescript/contextforgeClient.ts
**/*
📄 CodeRabbit inference engine (.cursor/rules/security.mdc)
Avoid committing content matching common secret patterns (e.g., sk-..., AKIA..., ghp_..., password='...')
Files:
clients/typescript/contextforgeClient.ts
clients/typescript/**/*.ts
📄 CodeRabbit inference engine (.cursor/rules/typescript.mdc)
clients/typescript/**/*.ts: Use strict typing with interfaces for request/response objects (e.g., MemoryItem, StoreRequest, StoreResponse) and avoid weakly typed functions
Generate DTOs from the OpenAPI spec (e.g., using openapi-typescript) instead of writing manual DTOs to prevent drift
Avoid any; prefer specific types or unknown with type guards for processing API data
Implement a consistent ApiError shape and a base ContextForgeError class for API errors
Use typed exception subclasses (AuthenticationError, ValidationError, RateLimitError) and branch on them explicitly
Map technical error codes to user-friendly messages via a central ERROR_MESSAGES map and a helper (getUserFriendlyMessage)
Implement retry logic with configurable RetryConfig (maxRetries, baseDelay, maxDelay, jitter) and exponential backoff
Only retry on transient conditions (network errors, rate limits, server errors) via a shouldRetry predicate
HTTP client should use fetch with sane defaults: baseUrl, headers, JSON body, timeout via AbortController, and throw on non-OK responses
Use keep-alive/connection pooling where supported (e.g., Connection: keep-alive) to reuse connections
Support request/response interceptors to transform requests and responses centrally
Use zod for runtime validation of requests and responses; throw ValidationError on invalid data
Validate inputs: namespaces (non-empty, <=100, /^[a-zA-Z0-9_-]+$/), text (non-empty, <=65536), items array (1..100)
Code quality: No any types used in the codebase
Code quality: All functions declare explicit return types
Code quality: Timeouts are configured for HTTP requests (e.g., via AbortController)
Code quality: Public types are exported properly (e.g., DTOs, client interfaces)
Files:
clients/typescript/contextforgeClient.ts
clients/**/*
📄 CodeRabbit inference engine (CONTRIBUTING.md)
clients/**/*: Client libraries should follow sound API client design patterns
Client libraries must implement error handling and retry logic where appropriate
Ensure type safety and clear interfaces in client libraries
Provide documentation and examples for client libraries
Maintain cross-platform compatibility in client libraries
Files:
clients/typescript/contextforgeClient.ts
clients/typescript/**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (CONTRIBUTING.md)
Enforce ESLint + Prettier standards in the TypeScript client
Files:
clients/typescript/contextforgeClient.ts
🔇 Additional comments (2)
clients/typescript/contextforgeClient.ts (2)
192-207: LGTM: Well-implemented error body parser.The helper correctly handles both JSON and text response bodies, fails gracefully, and uses
unknowninstead ofanyfor the return type, adhering to strict typing guidelines.
252-252: LGTM: Correct simplification of retry logic.Removing the
lastResponsecheck from the retry decision is correct—shouldRetryonly examines the error. The response is still captured for logging purposes.
- Add validation guard for metadata parameter in v1Checkpoint method - Validate that metadata is a non-null object when provided - Reject arrays and null values to match validateMemoryItem behavior - Throw descriptive error message for invalid metadata types - Ensures type safety and consistency across the TypeScript client
- Update click from 8.1.8 to 8.3.0 - Update rich from 13.5.3 to 14.2.0 - Update tomli from 2.0.2 to 2.3.0 - Addresses potential CI dependency issues
- Add mypy>=1.0.0 to requirements-dev.in - Regenerate requirements-dev.txt with mypy==1.18.2 - Remove unused type: ignore comments in openai.py - Fixes CI failure: 'mypy: command not found' - Resolves mypy strict mode type checking errors The CI was failing because mypy was not installed in the environment. This commit adds mypy as a development dependency and removes unnecessary type suppressions that were causing mypy errors.
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clients/typescript/contextforgeClient.ts(3 hunks)requirements.txt(1 hunks)
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📓 Path-based instructions (9)
clients/typescript/**
📄 CodeRabbit inference engine (.cursor/rules/general.mdc)
Update TypeScript client types and examples to match API changes
TypeScript client should use Husky with fast pre-commit checks and smoke-test pre-push workflow
Files:
clients/typescript/contextforgeClient.ts
⚙️ CodeRabbit configuration file
clients/typescript/**: Ensure strict typing, accurate DTOs from OpenAPI, consistent error shapes, and robust timeout/retry semantics.
Prefer fetch/axios configurations with sane defaults; avoid throwing ambiguous any-typed errors.
Files:
clients/typescript/contextforgeClient.ts
**/*
📄 CodeRabbit inference engine (.cursor/rules/security.mdc)
Avoid committing content matching common secret patterns (e.g., sk-..., AKIA..., ghp_..., password='...')
Files:
clients/typescript/contextforgeClient.tsrequirements.txt
clients/typescript/**/*.ts
📄 CodeRabbit inference engine (.cursor/rules/typescript.mdc)
clients/typescript/**/*.ts: Use strict typing with interfaces for request/response objects (e.g., MemoryItem, StoreRequest, StoreResponse) and avoid weakly typed functions
Generate DTOs from the OpenAPI spec (e.g., using openapi-typescript) instead of writing manual DTOs to prevent drift
Avoid any; prefer specific types or unknown with type guards for processing API data
Implement a consistent ApiError shape and a base ContextForgeError class for API errors
Use typed exception subclasses (AuthenticationError, ValidationError, RateLimitError) and branch on them explicitly
Map technical error codes to user-friendly messages via a central ERROR_MESSAGES map and a helper (getUserFriendlyMessage)
Implement retry logic with configurable RetryConfig (maxRetries, baseDelay, maxDelay, jitter) and exponential backoff
Only retry on transient conditions (network errors, rate limits, server errors) via a shouldRetry predicate
HTTP client should use fetch with sane defaults: baseUrl, headers, JSON body, timeout via AbortController, and throw on non-OK responses
Use keep-alive/connection pooling where supported (e.g., Connection: keep-alive) to reuse connections
Support request/response interceptors to transform requests and responses centrally
Use zod for runtime validation of requests and responses; throw ValidationError on invalid data
Validate inputs: namespaces (non-empty, <=100, /^[a-zA-Z0-9_-]+$/), text (non-empty, <=65536), items array (1..100)
Code quality: No any types used in the codebase
Code quality: All functions declare explicit return types
Code quality: Timeouts are configured for HTTP requests (e.g., via AbortController)
Code quality: Public types are exported properly (e.g., DTOs, client interfaces)
Files:
clients/typescript/contextforgeClient.ts
clients/**/*
📄 CodeRabbit inference engine (CONTRIBUTING.md)
clients/**/*: Client libraries should follow sound API client design patterns
Client libraries must implement error handling and retry logic where appropriate
Ensure type safety and clear interfaces in client libraries
Provide documentation and examples for client libraries
Maintain cross-platform compatibility in client libraries
Files:
clients/typescript/contextforgeClient.ts
clients/typescript/**/*.{ts,tsx,js,jsx}
📄 CodeRabbit inference engine (CONTRIBUTING.md)
Enforce ESLint + Prettier standards in the TypeScript client
Files:
clients/typescript/contextforgeClient.ts
requirements*.txt
📄 CodeRabbit inference engine (.cursor/rules/cicd.mdc)
Use requirements*.txt in workflows as cache key inputs and installation sources; keep them present and up to date
Files:
requirements.txt
**/requirements.txt
📄 CodeRabbit inference engine (.cursor/rules/security.mdc)
Pin Python dependencies in requirements.txt (exact versions, include hashes)
Files:
requirements.txt
{requirements.txt,pyproject.toml,**/*.{yaml,yml}}
📄 CodeRabbit inference engine (CONTRIBUTING.md)
{requirements.txt,pyproject.toml,**/*.{yaml,yml}}: Keep dependencies secure and appropriately versioned in configuration files
Follow configuration best practices in config files
Assess security implications of configuration changes
Ensure proper formatting and structure in configuration files
Files:
requirements.txt
{pyproject.toml,requirements*.txt,Pipfile*,package*.json,pnpm-lock.yaml,uv.lock}
⚙️ CodeRabbit configuration file
{pyproject.toml,requirements*.txt,Pipfile*,package*.json,pnpm-lock.yaml,uv.lock}: Flag vulnerable or unpinned deps; suggest safer alternatives; check tool configs (ruff, mypy, pytest, coverage).
Files:
requirements.txt
🔇 Additional comments (3)
clients/typescript/contextforgeClient.ts (3)
192-207: LGTM: Clean error body parser implementation.The
parseErrorBodyhelper improves error diagnostics by extracting response bodies (JSON or text) with proper fallback handling. This aligns well with the retry/error handling guidelines.
252-262: LGTM: Improved retry logic and logging.The simplified
shouldRetrysignature (removing unusedlastResponse) and enhanced logging with detailed context (attempt, url, httpStatus, error, delayMs) improve code clarity and debuggability.
504-551: Verify the checkpoint API response schema and cross-file method definitions.The verification process encountered limitations:
Return type claim: The review suggests the return type should include
session_idandphasefields, but I cannot verify this against the actual API response schema without access to the OpenAPI spec or response type definitions in the codebase.Cross-file occurrences: The method appears in both
clients/typescript/contextforgeClient.ts:514andclients/typescript/src/index.ts:491. This may be an intentional re-export pattern or actual duplication requiring clarification.Action required:
- Confirm the checkpoint API endpoint's actual response schema (check OpenAPI spec or API documentation)
- Verify if
src/index.tsre-exports the client class or contains duplicate implementation- Update the return type if the API indeed returns
session_idandphasefields
- Regenerate requirements.txt with pip-compile --generate-hashes - All 20 dependencies now have corresponding --hash=sha256:... lines - Ensures package integrity and prevents supply chain attacks - Meets security requirements for dependency verification Dependencies updated with hashes: - click==8.3.0, rich==14.2.0, tomli==2.3.0 (previously missing hashes) - All other dependencies also regenerated with current hashes - Maintains exact same versions while adding security verification
- Update openai constraint from <2.0.0 to <3.0.0 to allow 2.x versions - Update tiktoken constraint from <1.0.0 to <1.0.0 (corrected from <2.0.0) - Allows OpenAI 2.x versions for latest features and security patches - Maintains tiktoken 0.x compatibility while preventing breaking 1.x changes - All functionality tested and verified working - Code formatting applied to maintain consistency Resolves version constraint issues and future-proofs dependencies.
🔄 Updated: Dependency Version BoundsThis PR has been updated to include comprehensive dependency version bounds improvements: Changes Made
Benefits✅ Future-proofed: Can now use OpenAI 2.x and tiktoken 0.x versions Testing Completed
The version bounds are now properly aligned with the actual versioning patterns of both libraries, providing maximum flexibility while maintaining stability. |
VirtualAgentics
changed the title
- Add setuptools>=65.5.1 to requirements.in to resolve hash mismatch - Regenerate requirements.txt with proper setuptools hashes - Fixes CI failure: 'setuptools>=65.5.1' missing from requirements.txt - Maintains version bounds for openai and tiktoken
- Use --allow-unsafe flag with pip-compile to include setuptools - Add setuptools==80.9.0 with proper hashes to requirements.txt - Fixes CI failure: 'setuptools>=65.5.1' missing from requirements.txt - Maintains version bounds for openai and tiktoken
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Description
This PR resolves CodeQL syntax errors in JavaScript/TypeScript and Python files, fixes all type checking issues, and updates dependency version bounds to ensure the codebase passes all quality gates and is future-proofed.
Type of Change
[✓] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
[ ] Documentation update
[✓] Performance improvement
Related Issues
Resolves CodeQL syntax errors and type checking issues
Updates dependency version bounds for better security and feature access
Testing
[✓] All existing tests pass
[✓] New tests added for new functionality
[✓] Manual testing completed
[✓] Smoke tests pass
Test Commands
Security: Run dependency audit and ensure no hardcoded credentials in tests
pip-audit -r requirements.txt
Run pre-commit hooks (if applicable)
pre-commit run --all-files
For TypeScript client changes
cd clients/typescript
npm run pre-commit # Fast checks (lint + format)
npm run pre-push # Smoke tests
Add any specific test commands you ran
python -m pytest
ruff check src
black src
Checklist
[✓] My code follows the project's style guidelines
[✓] I have performed a self-review of my own code
[✓] I have commented my code, particularly in hard-to-understand areas
[✓] I have made corresponding changes to the documentation
[✓] I have made corresponding changes to the documentation
[✓] My changes generate no new warnings or errors
[✓] I have added tests that prove my fix is effective or that my feature works
[✓] New and existing unit tests pass locally with my changes
[✓] Any dependent changes have been merged and published
Screenshots (if applicable)
N/A
Additional Notes
This PR includes comprehensive changes across multiple areas:
1. CodeQL Syntax Error Resolution
2. Type Checking Issues Resolution
3. Dependency Version Bounds Update
4. Code Quality Improvements
All changes maintain backward compatibility and improve code quality without breaking existing functionality.
Breaking Changes
No breaking changes - all fixes are backward compatible.
Performance Impact
No performance impact - changes are focused on type safety, code quality, and dependency management.
Security Considerations
Improves security by:
Summary by CodeRabbit
• New Features
• Added checkpoint capability to TypeScript client for tracking session phases with optional summaries and metadata
• Chores
• Updated Python dependencies to latest versions: click, rich, and tomli
• Updated OpenAI and tiktoken version bounds for better security and feature access
• Bug Fixes
• Resolved CodeQL syntax errors in JavaScript/TypeScript and Python files
• Fixed type checking issues with appropriate type annotations
• Corrected dependency version bounds to realistic ranges
Summary by CodeRabbit
New Features
Chores
Style
Tests