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* feat(ui): add user filtering to usage page Adds "User Usage" as a new view option in the usage page dropdown, allowing admins to view and filter usage data by individual users via the existing /user/daily/activity backend endpoint. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat(ui/): working usage filtering * fix(ui): use single-select for user filter and add tests The user entity type's backend endpoint only accepts a single user_id, so the filter now uses single-select mode instead of multi-select. Added tests for the new user entity type in EntityUsage and UsageViewSelect. Updated CLAUDE.md and AGENTS.md with guidance on UI/backend contract consistency and test coverage for new entity types. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * revert: remove unintended package-lock.json changes Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * revert: restore package-lock.json to merge base state Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
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4.9 KiB
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# CLAUDE.md
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This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
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## Development Commands
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### Installation
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- `make install-dev` - Install core development dependencies
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- `make install-proxy-dev` - Install proxy development dependencies with full feature set
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- `make install-test-deps` - Install all test dependencies
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### Testing
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- `make test` - Run all tests
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- `make test-unit` - Run unit tests (tests/test_litellm) with 4 parallel workers
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- `make test-integration` - Run integration tests (excludes unit tests)
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- `pytest tests/` - Direct pytest execution
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### Code Quality
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- `make lint` - Run all linting (Ruff, MyPy, Black, circular imports, import safety)
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- `make format` - Apply Black code formatting
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- `make lint-ruff` - Run Ruff linting only
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- `make lint-mypy` - Run MyPy type checking only
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### Single Test Files
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- `poetry run pytest tests/path/to/test_file.py -v` - Run specific test file
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- `poetry run pytest tests/path/to/test_file.py::test_function -v` - Run specific test
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### Running Scripts
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- `poetry run python script.py` - Run Python scripts (use for non-test files)
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### GitHub Issue & PR Templates
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When contributing to the project, use the appropriate templates:
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**Bug Reports** (`.github/ISSUE_TEMPLATE/bug_report.yml`):
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- Describe what happened vs. what you expected
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- Include relevant log output
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- Specify your LiteLLM version
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**Feature Requests** (`.github/ISSUE_TEMPLATE/feature_request.yml`):
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- Describe the feature clearly
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- Explain the motivation and use case
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**Pull Requests** (`.github/pull_request_template.md`):
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- Add at least 1 test in `tests/litellm/`
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- Ensure `make test-unit` passes
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## Architecture Overview
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LiteLLM is a unified interface for 100+ LLM providers with two main components:
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### Core Library (`litellm/`)
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- **Main entry point**: `litellm/main.py` - Contains core completion() function
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- **Provider implementations**: `litellm/llms/` - Each provider has its own subdirectory
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- **Router system**: `litellm/router.py` + `litellm/router_utils/` - Load balancing and fallback logic
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- **Type definitions**: `litellm/types/` - Pydantic models and type hints
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- **Integrations**: `litellm/integrations/` - Third-party observability, caching, logging
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- **Caching**: `litellm/caching/` - Multiple cache backends (Redis, in-memory, S3, etc.)
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### Proxy Server (`litellm/proxy/`)
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- **Main server**: `proxy_server.py` - FastAPI application
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- **Authentication**: `auth/` - API key management, JWT, OAuth2
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- **Database**: `db/` - Prisma ORM with PostgreSQL/SQLite support
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- **Management endpoints**: `management_endpoints/` - Admin APIs for keys, teams, models
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- **Pass-through endpoints**: `pass_through_endpoints/` - Provider-specific API forwarding
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- **Guardrails**: `guardrails/` - Safety and content filtering hooks
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- **UI Dashboard**: Served from `_experimental/out/` (Next.js build)
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## Key Patterns
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### Provider Implementation
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- Providers inherit from base classes in `litellm/llms/base.py`
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- Each provider has transformation functions for input/output formatting
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- Support both sync and async operations
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- Handle streaming responses and function calling
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### Error Handling
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- Provider-specific exceptions mapped to OpenAI-compatible errors
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- Fallback logic handled by Router system
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- Comprehensive logging through `litellm/_logging.py`
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### Configuration
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- YAML config files for proxy server (see `proxy/example_config_yaml/`)
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- Environment variables for API keys and settings
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- Database schema managed via Prisma (`proxy/schema.prisma`)
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## Development Notes
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### Code Style
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- Uses Black formatter, Ruff linter, MyPy type checker
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- Pydantic v2 for data validation
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- Async/await patterns throughout
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- Type hints required for all public APIs
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- **Avoid imports within methods** — place all imports at the top of the file (module-level). Inline imports inside functions/methods make dependencies harder to trace and hurt readability. The only exception is avoiding circular imports where absolutely necessary.
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### Testing Strategy
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- Unit tests in `tests/test_litellm/`
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- Integration tests for each provider in `tests/llm_translation/`
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- Proxy tests in `tests/proxy_unit_tests/`
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- Load tests in `tests/load_tests/`
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- **Always add tests when adding new entity types or features** — if the existing test file covers other entity types, add corresponding tests for the new one
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### UI / Backend Consistency
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- When wiring a new UI entity type to an existing backend endpoint, verify the backend API contract (single value vs. array, required vs. optional params) and ensure the UI controls match — e.g., use a single-select dropdown when the backend accepts a single value, not a multi-select
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### Database Migrations
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- Prisma handles schema migrations
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- Migration files auto-generated with `prisma migrate dev`
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- Always test migrations against both PostgreSQL and SQLite
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### Enterprise Features
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- Enterprise-specific code in `enterprise/` directory
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- Optional features enabled via environment variables
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- Separate licensing and authentication for enterprise features |