360643e213
* Add Ask AI chat component to Usage page - Create UsageAIChatModal component with streaming chat interface - Integrate with existing model hub for model selection - Pass usage data context (spend, models, providers, keys) to AI - Add Ask AI button next to Export Data button in global view - Add tests for the new component and integration Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Convert Ask AI from modal to right-side sliding panel - Replace UsageAIChatModal with UsageAIChatPanel - Panel slides in from right side, usage page stays visible - Full-height panel with header, model selector, chat area, and input - Smooth CSS transition for open/close animation - Update tests for new panel component (34 tests passing) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Remove build output directory from tracking Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Add backend AI usage chat endpoint with tool calling Backend: - New /usage/ai/chat SSE streaming endpoint - AI agent has get_usage_data tool that queries /user/daily/activity/aggregated - Follows same architecture as policy AI suggest (litellm.acompletion + tools) - Non-admin users are restricted to their own data - 12 backend unit tests Frontend: - Panel now calls /usage/ai/chat backend endpoint via SSE - Removed direct OpenAI client calls from frontend - Added usageAiChatStream networking function following enrichPolicyTemplateStream pattern Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Make model selection optional, default to gpt-4o-mini on backend Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Add team/tag tools, status indicators, and improved AI agent - AI agent now has 3 tools: get_usage_data, get_team_usage_data, get_tag_usage_data - Stream status events (Thinking... Fetching... Analyzing...) to UI - Frontend shows spinner + status text during tool execution - Better system prompt guiding tool selection - Entity summariser for team/tag data with ranked breakdowns - 13 backend tests, 34 frontend tests passing Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix: inject today's date into system prompt so AI resolves relative dates correctly Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Show tool calls as distinct steps + render markdown in responses - Backend emits tool_call events with tool_name, label, args, and status - Frontend shows each tool call as a step with ✓/spinner/✗ indicator - Tool call steps show icon, label, date range, and filters - AI responses rendered with ReactMarkdown (bold, lists, tables, code) - Cursor-like UX: Thinking → tool calls → Analyzing → streamed answer Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Refactor backend for code quality: proper types, constants, all functions ≤50 LOC - TypedDict for SSE events (SSEStatusEvent, SSEToolCallEvent, etc.) and ToolHandler - Constants for table names, entity fields, temperature, page sizes, top-N limits - Shared _query_activity() eliminates duplicated fetch logic - _accumulate_breakdown() + _ranked_lines() replace inline aggregation loops - Extracted _process_tool_call() and _stream_final_response() from main stream fn - Black + Ruff clean, all 15 functions verified ≤50 LOC - Replaced Tremor Button with Antd Button in panel (Tremor deprecated per AGENTS.md) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Address greptile review: security fixes and input validation - Restrict team/tag tools to admin-only users (non-admins only get get_usage_data) - Constrain ChatMessage.role to Literal['user', 'assistant'] to prevent system prompt injection - Add test for base tools restriction (non-admin gets 1 tool, admin gets 3) - Issues 3 (unused imports) and 4 (inline datetime) were already fixed in prior commit Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Address greptile round 2: sanitize errors, defense-in-depth allowlist, revert tsconfig - Sanitize error messages: generic 'An internal error occurred' sent to client, full exception logged server-side via verbose_proxy_logger - Defense-in-depth: _process_tool_call validates fn_name against role-based allowlist before dispatch (even though LLM only receives allowed tools) - Revert tsconfig.json jsx back to 'preserve' (Next.js recommended default) Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Role-scoped system prompt + additional test coverage - System prompt is now role-aware: admin sees all 3 tool descriptions, non-admin only sees get_usage_data (consistent with tool filtering) - Added tests: non-admin prompt excludes team/tag tools, date injection - 15 backend tests, 34 frontend tests passing Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> * Fix LLM arg validation + cap conversation size at 20 messages - _resolve_fetch_kwargs uses .get() with ValueError for missing dates (handles malformed LLM tool arguments gracefully) - MAX_CHAT_MESSAGES = 20 constant; backend truncates to last 20 - Frontend also sends only last 20 messages per request - Prevents excessive token usage and context-length errors Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> --------- Co-authored-by: Cursor Agent <cursoragent@cursor.com> Co-authored-by: Ishaan Jaff <ishaan-jaff@users.noreply.github.com> |
||
|---|---|---|
| .. | ||
| a2a_protocol | ||
| anthropic_interface/exceptions | ||
| caching | ||
| completion_extras | ||
| containers | ||
| enterprise | ||
| expected_responses_api_request | ||
| experimental_mcp_client | ||
| google_genai | ||
| images | ||
| integrations | ||
| interactions | ||
| litellm_core_utils | ||
| llms | ||
| passthrough | ||
| proxy | ||
| responses | ||
| router_strategy | ||
| router_utils | ||
| secret_managers | ||
| test_router | ||
| types | ||
| vector_stores | ||
| __init__.py | ||
| conftest.py | ||
| log.txt | ||
| readme.md | ||
| test_a2a_registry_lookup.py | ||
| test_acompletion_session_reuse_e2e.py | ||
| test_add_deployment_no_master_key.py | ||
| test_aembedding_session_reuse_e2e.py | ||
| test_anthropic_beta_headers_filtering.py | ||
| test_azure_video_router.py | ||
| test_claude_haiku_4_5_config.py | ||
| test_claude_opus_4_6_config.py | ||
| test_constants.py | ||
| test_container_router.py | ||
| test_cost_calculation_log_level.py | ||
| test_cost_calculator.py | ||
| test_deepseek_model_metadata.py | ||
| test_eager_tiktoken_load.py | ||
| test_exception_exports.py | ||
| test_exception_header_preservation.py | ||
| test_exception_mapping_request_attribute.py | ||
| test_filter_out_litellm_params.py | ||
| test_get_blog_posts.py | ||
| test_gpt_image_cost_calculator.py | ||
| test_groq_streaming_encoding.py | ||
| test_lazy_imports.py | ||
| test_logging.py | ||
| test_lowest_latency_zero_tokens.py | ||
| test_main.py | ||
| test_model_param_helper.py | ||
| test_model_response_normalization.py | ||
| test_nested_drop_params.py | ||
| test_redis.py | ||
| test_responses_api_bridge_non_stream.py | ||
| test_responses_id_security.py | ||
| test_router_google_genai.py | ||
| test_router_model_cost_isolation.py | ||
| test_router_per_deployment_num_retries.py | ||
| test_router_redis_init.py | ||
| test_router_silent_experiment.py | ||
| test_router.py | ||
| test_service_logger.py | ||
| test_shared_session_integration.py | ||
| test_ssl_verify_unit.py | ||
| test_streaming_connection_cleanup.py | ||
| test_system_message_format_bug.py | ||
| test_utils.py | ||
| test_uuid_helper.py | ||
| test_video_generation.py | ||
| test_xai_responses_auto_routing.py | ||
Testing for litellm/
This directory 1:1 maps the the litellm/ directory, and can only contain mocked tests.
The point of this is to:
- Increase test coverage of
litellm/ - Make it easy for contributors to add tests for the
litellm/package and easily run tests without needing LLM API keys.
File name conventions
litellm/proxy/test_caching_routes.pymaps tolitellm/proxy/caching_routes.pytest_<filename>.pymaps tolitellm/<filename>.py