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This PR fixes GitHub Copilot billing behavior for multi-turn agentic workflows by implementing proper X-Initiator header classification. Previously, all turns consumed a premium request. After this fix, only the first user-initiated turn consumes a premium request; follow-up assistant/tool turns (agent-initiated) do not. **Changes:** 1. **New X-Initiator header classification** (common_utils.py): - Added `determine_x_initiator()` helper that analyzes input messages/items - Returns "user" if messages are user-only (new conversation = premium request) - Returns "agent" if messages contain assistant/tool roles (continuation = free) 2. **Wired X-Initiator header into completion paths**: - Chat API: chat/transformation.py sets X-Initiator from validate_environment() - Responses API: responses/transformation.py sets X-Initiator from validate_environment() - Main completion path: main.py passes X-Initiator through extra_headers 3. **Optional conversation correlation header**: - Added `copilot_conversation_id` metadata parameter for session-scoped billing - Sets X-Conversation-Id header when provided (optional, for caller opt-in) - Verified via API testing that billing is governed by X-Initiator, not session correlation 4. **Comprehensive test coverage**: - Unit tests for X-Initiator classification logic (test_conversation_id.py) - Integration tests for Chat API (test_github_copilot_transformation.py) - Integration tests for Responses API (test_github_copilot_responses_transformation.py) - Billing integration tests (test_github_copilot_billing.py) **Billing impact:** - Multi-turn agentic workflows: 1 premium request instead of N (where N = number of turns) - Single-turn conversations: No change (still 1 premium request) - Tool calls: 1 premium request for the full user→tool→tool_response→assistant exchange Fixes: #25276 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> |
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| .. | ||
| agent_tests | ||
| audio_tests | ||
| basic_proxy_startup_tests | ||
| batches_tests | ||
| benchmarks | ||
| code_coverage_tests | ||
| documentation_tests | ||
| enterprise | ||
| guardrails_tests | ||
| image_gen_tests | ||
| litellm | ||
| litellm-proxy-extras | ||
| litellm_core_utils | ||
| litellm_utils_tests | ||
| llm_responses_api_testing | ||
| llm_translation | ||
| load_tests | ||
| local_testing | ||
| logging_callback_tests | ||
| mcp_tests | ||
| multi_instance_e2e_tests | ||
| ocr_tests | ||
| old_proxy_tests/tests | ||
| openai_endpoints_tests | ||
| otel_tests | ||
| pass_through_tests | ||
| pass_through_unit_tests | ||
| proxy_admin_ui_tests | ||
| proxy_e2e_anthropic_messages_tests | ||
| proxy_security_tests | ||
| proxy_unit_tests | ||
| router_unit_tests | ||
| scim_tests | ||
| search_tests | ||
| spend_tracking_tests | ||
| store_model_in_db_tests | ||
| test_litellm | ||
| unified_google_tests | ||
| vector_store_tests | ||
| windows_tests | ||
| __init__.py | ||
| gettysburg.wav | ||
| large_text.py | ||
| openai_batch_completions.jsonl | ||
| README.MD | ||
| test_budget_management.py | ||
| test_callbacks_on_proxy.py | ||
| test_config.py | ||
| test_debug_warning.py | ||
| test_default_encoding_non_root.py | ||
| test_end_users.py | ||
| test_entrypoint.py | ||
| test_fallbacks.py | ||
| test_gpt5_azure_temperature_support.py | ||
| test_health.py | ||
| test_keys.py | ||
| test_litellm_proxy_responses_config.py | ||
| test_logging.conf | ||
| test_models.py | ||
| test_new_vector_store_endpoints.py | ||
| test_openai_endpoints.py | ||
| test_organizations.py | ||
| test_otel_thread_leak.py | ||
| test_passthrough_endpoints.py | ||
| test_presidio_latency.py | ||
| test_proxy_server_non_root.py | ||
| test_ratelimit.py | ||
| test_resource_cleanup.py | ||
| test_service_logger_otel.py | ||
| test_spend_logs.py | ||
| test_team.py | ||
| test_team_logging.py | ||
| test_team_members.py | ||
| test_users.py | ||
In total litellm runs 1000+ tests
[02/20/2025] Update:
To make it easier to contribute and map what behavior is tested,
we've started mapping the litellm directory in tests/test_litellm
This folder can only run mock tests.