From 99a63d5180f7094250ed1d578d0a91c6dca92cdd Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 20 May 2026 22:33:14 +0530 Subject: [PATCH 01/13] feat(gemini): add gemini-3.1-flash-lite model cost map (#28320) * feat(gemini): add gemini-3.1-flash-lite model cost map entries Co-authored-by: Cursor * Update model_prices_and_context_window.json * Update source URL for model pricing information * Sync source URL for gemini-3.1-flash-lite in backup JSON * fix(model_cost_map): add mistral/ministral-8b-2512 entry Mistral rotated the 'mistral/mistral-tiny' alias to return 'ministral-8b-2512' as the response model, which is not in the cost map. This caused test_completion_mistral_api and test_completion_mistral_api_modified_input to fail in completion_cost lookup. Add the entry mirroring the existing openrouter/mistralai/ministral-8b-2512 pricing. * test(cost_calculator): assert output_cost_per_reasoning_token for gemini-3.1-flash-lite * fix(tests): backfill local backup entries into runtime model_cost litellm.model_cost is loaded from LITELLM_MODEL_COST_MAP_URL (pinned to main) at import time, so any pricing entries added to the in-tree backup on this branch aren't visible at test runtime until they also land on main. The Mistral cassette currently returns model=ministral-8b-2512 and the cost-calculator lookup in test_completion_mistral_api / test_completion_mistral_api_modified_input fails despite the entry existing in the local backup. Backfill missing backup entries into litellm.model_cost in the local_testing conftest so these lookups succeed against the cassette state the branch is being tested with. * fix(tests): guard conftest backfill against empty local cost map --------- Co-authored-by: Cursor Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> --- ...odel_prices_and_context_window_backup.json | 227 +++++++++++++++++- model_prices_and_context_window.json | 191 +++++++++++++++ tests/local_testing/conftest.py | 14 ++ tests/test_litellm/test_cost_calculator.py | 19 ++ 4 files changed, 450 insertions(+), 1 deletion(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 6d7c3eeb0b8..9ba337da0a5 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -1448,6 +1448,35 @@ "supports_native_structured_output": true, "supports_minimal_reasoning_effort": true }, + "jp.anthropic.claude-sonnet-4-6": { + "cache_creation_input_token_cost": 4.125e-06, + "cache_read_input_token_cost": 3.3e-07, + "input_cost_per_token": 3.3e-06, + "litellm_provider": "bedrock_converse", + "max_input_tokens": 1000000, + "max_output_tokens": 64000, + "max_tokens": 64000, + "mode": "chat", + "output_cost_per_token": 1.65e-05, + "search_context_cost_per_query": { + "search_context_size_high": 0.01, + "search_context_size_low": 0.01, + "search_context_size_medium": 0.01 + }, + "supports_assistant_prefill": true, + "supports_computer_use": true, + "supports_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_max_reasoning_effort": true, + "supports_tool_choice": true, + "supports_vision": true, + "tool_use_system_prompt_tokens": 346, + "supports_native_structured_output": true, + "supports_minimal_reasoning_effort": true + }, "anthropic.claude-sonnet-4-20250514-v1:0": { "cache_creation_input_token_cost": 3.75e-06, "cache_read_input_token_cost": 3e-07, @@ -9602,6 +9631,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": true, "supports_computer_use": true, "supports_function_calling": true, @@ -9795,6 +9825,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -9828,6 +9859,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -9861,6 +9893,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -9895,6 +9928,7 @@ "search_context_size_low": 0.01, "search_context_size_medium": 0.01 }, + "supports_adaptive_thinking": true, "supports_assistant_prefill": false, "supports_computer_use": true, "supports_function_calling": true, @@ -14883,7 +14917,65 @@ "mode": "chat", "output_cost_per_reasoning_token": 1.5e-06, "output_cost_per_token": 1.5e-06, - "source": "https://ai.google.dev/gemini-api/docs/models", + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_audio_output": false, + "supports_code_execution": true, + "supports_file_search": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query", + "supports_service_tier": true + }, + "gemini-3.1-flash-lite": { + "cache_read_input_token_cost": 4.5e-08, + "cache_read_input_token_cost_per_audio_token": 9e-08, + "input_cost_per_audio_token": 9e-07, + "input_cost_per_token": 4.5e-07, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_pdf_size_mb": 30, + "max_tokens": 65536, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_reasoning_token": 2.7e-06, + "output_cost_per_token": 2.7e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", "supported_endpoints": [ "/v1/chat/completions", "/v1/completions", @@ -16987,6 +17079,66 @@ "web_search_billing_unit": "per_query", "supports_service_tier": true }, + "gemini/gemini-3.1-flash-lite": { + "cache_read_input_token_cost": 4.5e-08, + "cache_read_input_token_cost_per_audio_token": 9e-08, + "input_cost_per_audio_token": 9e-07, + "input_cost_per_token": 4.5e-07, + "litellm_provider": "gemini", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_pdf_size_mb": 30, + "max_tokens": 65536, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_reasoning_token": 2.7e-06, + "output_cost_per_token": 2.7e-06, + "rpm": 15, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_audio_output": false, + "supports_code_execution": true, + "supports_file_search": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "tpm": 250000, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query", + "supports_service_tier": true + }, "gemini/gemini-3-flash-preview": { "cache_read_input_token_cost": 5e-08, "input_cost_per_audio_token": 1e-06, @@ -24285,6 +24437,21 @@ "supports_tool_choice": true, "supports_vision": true }, + "mistral/ministral-8b-2512": { + "input_cost_per_token": 1.5e-07, + "litellm_provider": "mistral", + "max_input_tokens": 262144, + "max_output_tokens": 262144, + "max_tokens": 262144, + "mode": "chat", + "output_cost_per_token": 1.5e-07, + "source": "https://mistral.ai/pricing", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, "mistral/mistral-tiny": { "input_cost_per_token": 2.5e-07, "litellm_provider": "mistral", @@ -33605,6 +33772,64 @@ }, "web_search_billing_unit": "per_query" }, + "vertex_ai/gemini-3.1-flash-lite": { + "cache_read_input_token_cost": 4.5e-08, + "cache_read_input_token_cost_per_audio_token": 9e-08, + "input_cost_per_audio_token": 9e-07, + "input_cost_per_token": 4.5e-07, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_pdf_size_mb": 30, + "max_tokens": 65536, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_reasoning_token": 2.7e-06, + "output_cost_per_token": 2.7e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_audio_output": false, + "supports_code_execution": true, + "supports_file_search": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query", + "supports_service_tier": true + }, "vertex_ai/deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index e7a03bb0984..27d6a59740f 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -14957,6 +14957,64 @@ "web_search_billing_unit": "per_query", "supports_service_tier": true }, + "gemini-3.1-flash-lite": { + "cache_read_input_token_cost": 4.5e-08, + "cache_read_input_token_cost_per_audio_token": 9e-08, + "input_cost_per_audio_token": 9e-07, + "input_cost_per_token": 4.5e-07, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_pdf_size_mb": 30, + "max_tokens": 65536, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_reasoning_token": 2.7e-06, + "output_cost_per_token": 2.7e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_audio_output": false, + "supports_code_execution": true, + "supports_file_search": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query", + "supports_service_tier": true + }, "deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, @@ -17021,6 +17079,66 @@ "web_search_billing_unit": "per_query", "supports_service_tier": true }, + "gemini/gemini-3.1-flash-lite": { + "cache_read_input_token_cost": 4.5e-08, + "cache_read_input_token_cost_per_audio_token": 9e-08, + "input_cost_per_audio_token": 9e-07, + "input_cost_per_token": 4.5e-07, + "litellm_provider": "gemini", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_pdf_size_mb": 30, + "max_tokens": 65536, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_reasoning_token": 2.7e-06, + "output_cost_per_token": 2.7e-06, + "rpm": 15, + "source": "https://ai.google.dev/gemini-api/docs/pricing", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_audio_output": false, + "supports_code_execution": true, + "supports_file_search": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "tpm": 250000, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query", + "supports_service_tier": true + }, "gemini/gemini-3-flash-preview": { "cache_read_input_token_cost": 5e-08, "input_cost_per_audio_token": 1e-06, @@ -24319,6 +24437,21 @@ "supports_tool_choice": true, "supports_vision": true }, + "mistral/ministral-8b-2512": { + "input_cost_per_token": 1.5e-07, + "litellm_provider": "mistral", + "max_input_tokens": 262144, + "max_output_tokens": 262144, + "max_tokens": 262144, + "mode": "chat", + "output_cost_per_token": 1.5e-07, + "source": "https://mistral.ai/pricing", + "supports_assistant_prefill": true, + "supports_function_calling": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, "mistral/mistral-tiny": { "input_cost_per_token": 2.5e-07, "litellm_provider": "mistral", @@ -33639,6 +33772,64 @@ }, "web_search_billing_unit": "per_query" }, + "vertex_ai/gemini-3.1-flash-lite": { + "cache_read_input_token_cost": 4.5e-08, + "cache_read_input_token_cost_per_audio_token": 9e-08, + "input_cost_per_audio_token": 9e-07, + "input_cost_per_token": 4.5e-07, + "litellm_provider": "vertex_ai-language-models", + "max_audio_length_hours": 8.4, + "max_audio_per_prompt": 1, + "max_images_per_prompt": 3000, + "max_input_tokens": 1048576, + "max_output_tokens": 65536, + "max_pdf_size_mb": 30, + "max_tokens": 65536, + "max_video_length": 1, + "max_videos_per_prompt": 10, + "mode": "chat", + "output_cost_per_reasoning_token": 2.7e-06, + "output_cost_per_token": 2.7e-06, + "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing#gemini-models", + "supported_endpoints": [ + "/v1/chat/completions", + "/v1/completions", + "/v1/batch" + ], + "supported_modalities": [ + "text", + "image", + "audio", + "video" + ], + "supported_output_modalities": [ + "text" + ], + "supports_audio_input": true, + "supports_audio_output": false, + "supports_code_execution": true, + "supports_file_search": true, + "supports_function_calling": true, + "supports_parallel_function_calling": true, + "supports_pdf_input": true, + "supports_prompt_caching": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_system_messages": true, + "supports_tool_choice": true, + "supports_url_context": true, + "supports_video_input": true, + "supports_vision": true, + "supports_web_search": true, + "supports_native_streaming": true, + "search_context_cost_per_query": { + "search_context_size_low": 0.014, + "search_context_size_medium": 0.014, + "search_context_size_high": 0.014 + }, + "web_search_billing_unit": "per_query", + "supports_service_tier": true + }, "vertex_ai/deep-research-pro-preview-12-2025": { "input_cost_per_image": 0.0011, "input_cost_per_token": 2e-06, diff --git a/tests/local_testing/conftest.py b/tests/local_testing/conftest.py index 6a746041f15..06637b844b1 100644 --- a/tests/local_testing/conftest.py +++ b/tests/local_testing/conftest.py @@ -22,6 +22,20 @@ sys.path.insert( ) # Adds the parent directory to the system path import litellm +# ``litellm.model_cost`` is loaded at import time from the URL pinned to +# ``main`` (``LITELLM_MODEL_COST_MAP_URL``). The in-tree backup ships with +# this branch and can include pricing entries that main has not yet picked +# up (e.g. an upstream provider rotates a model id and the test cassette +# records the new name). Backfill any entries that are missing from the +# remote-fetched map so cost-calculator lookups in tests succeed against +# the cassette state the branch is being tested with. +from litellm.litellm_core_utils.get_model_cost_map import GetModelCostMap + +_local_cost_map = GetModelCostMap.load_local_model_cost_map() +for _k, _v in _local_cost_map.items(): + litellm.model_cost.setdefault(_k, _v) +del _local_cost_map + from tests._vcr_conftest_common import ( # noqa: E402,F401 VerboseReporterState, _pin_multipart_boundary, diff --git a/tests/test_litellm/test_cost_calculator.py b/tests/test_litellm/test_cost_calculator.py index 1be4abbec6e..18ab8a2a07a 100644 --- a/tests/test_litellm/test_cost_calculator.py +++ b/tests/test_litellm/test_cost_calculator.py @@ -2059,6 +2059,25 @@ def test_openrouter_gemini_3_1_flash_lite_preview_pricing(): assert model_info["max_output_tokens"] == 65536 +def test_gemini_3_1_flash_lite_pricing(): + os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True" + litellm.model_cost = litellm.get_model_cost_map(url="") + + for model_name in ( + "gemini-3.1-flash-lite", + "gemini/gemini-3.1-flash-lite", + "vertex_ai/gemini-3.1-flash-lite", + ): + model_info = litellm.model_cost.get(model_name) + assert model_info is not None, f"Missing model pricing entry: {model_name}" + assert model_info["input_cost_per_token"] == 4.5e-07 + assert model_info["input_cost_per_audio_token"] == 9e-07 + assert model_info["output_cost_per_token"] == 2.7e-06 + assert model_info["output_cost_per_reasoning_token"] == 2.7e-06 + assert model_info["cache_read_input_token_cost"] == 4.5e-08 + assert model_info["max_input_tokens"] == 1048576 + + def test_custom_pricing_applies_cache_read_input_cost(): """ Bug 1 reproduction: custom_cost_per_token with cache_read_input_token_cost From 0fb710400f80088fdcc1e382d3efa90a7ec895ea Mon Sep 17 00:00:00 2001 From: milan-berri Date: Wed, 20 May 2026 20:57:08 +0300 Subject: [PATCH 02/13] fix(spend_counter): seed Redis counter via SET NX to prevent cross-pod double-seed (#27854) * fix(spend_counter): seed Redis counter via SET NX to prevent cross-pod double-seed Symptom ------- Customers on multi-pod deployments see team `spend` jump to ~2x (or N x the pod count) shortly after a Redis cache miss / TTL expiry, triggering spurious "Budget Crossed" alerts and blocked requests until the value is manually reset. Root cause ---------- `SpendCounterReseed.coalesced` warmed the primary spend counter by calling `redis.async_increment(key, value=db_spend, refresh_ttl=True)`, which lowers to Redis `INCRBYFLOAT`. That is additive, not idempotent. The per-counter `asyncio.Lock` only coalesces seeders inside one process. With N pods sharing one Redis, on a cold key (cold start, TTL expiry, manual delete) every pod independently passes its lock + Redis re-check, reads the same `db_spend`, and issues `INCRBYFLOAT db_spend`. Final value: N x db_spend. Fix --- Use `redis.async_set_cache(key, value=db_spend, nx=True)` for the seed. SET NX is atomic across pods: exactly one writer initializes the key; losers read the winner's value via `async_get_cache`. This is the same idiom already used by `coalesced_window` in the same file, so the two seed paths are now consistent. Per-request deltas continue to use `INCRBYFLOAT` (correct - additive behaviour is what we want for increments, not for initial seed). Verification ------------ Live two-process repro against the same Postgres + Redis (DB spend = 506): Unpatched: 4/4 runs -> Redis counter = ~1012 (~2 x db_spend) Patched: 12/12 runs -> Redis counter = ~506 Unit tests (`test_proxy_server.py`): - New `test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed` patches `_get_lock` to return a fresh lock per caller (otherwise the per-process lock masks the race), races two `coalesced` calls, and asserts final = 506 with exactly one of two SET NX attempts winning. - 4 existing tests updated for the new seed contract (SET NX for the seed, INCRBYFLOAT only for the per-request delta). - Full `spend_counter or reseed or budget` slice: 22 passed. Co-authored-by: Cursor * test(spend_counter): make SET NX mock atomic so loser branch is exercised Greptile flagged that `redis_set_cache` in test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed placed `await asyncio.sleep(0)` AFTER the NX membership check. Both concurrent tasks observed an empty `redis_store`, passed the guard, and both returned True - so the loser branch (else: read back winner's value) was never exercised. Fix the mock to model real atomic Redis SET NX: - Yield BEFORE the membership check so two concurrent callers interleave the way real SET NX does (first to resume runs check + write atomically and wins; second resumes after the key exists and loses). - Track set_cache return values; assert sorted([loser, winner]) so we know exactly one task wins and one loses. - Track async_get_cache calls that happen AFTER at least one SET NX has completed; assert at least one such read - that is the loser-path fallback (`current_value = float(cached)` when seeded is False). Verified by temporarily reverting the mock to the old order: the test now fails with `expected exactly one SET NX winner and one loser, got [True, True]`, exactly the failure mode Greptile described. No production code change. Co-authored-by: Cursor * test(spend_counter): mock async_set_cache to populate redis_store in concurrent read+write test `test_concurrent_read_and_write_paths_share_one_db_query` mocks `async_increment` to populate the in-memory `redis_store`, but did not mock `async_set_cache`. After the SET-NX seed change in `coalesced()`, the seed step writes via `async_set_cache(nx=True)` (default AsyncMock, no `redis_store` write), so the simulated Redis stays empty after the first reseed. The second `get_current_spend` then sees a clean Redis miss, re-enters the DB read path, and the test fails with `expected 1 DB query, got 2`. Fix: add a `redis_set_cache` side_effect that updates `redis_store` on `nx=True` (and rejects when the key already exists), matching the pattern used by the four sibling tests fixed in this branch's first commit. Pre-existing assertions are unchanged. Full `tests/test_litellm/proxy/test_proxy_server.py`: 158 passed. Co-authored-by: Cursor --------- Co-authored-by: Cursor --- litellm/proxy/db/spend_counter_reseed.py | 27 ++- tests/test_litellm/proxy/test_proxy_server.py | 167 ++++++++++++++++-- 2 files changed, 176 insertions(+), 18 deletions(-) diff --git a/litellm/proxy/db/spend_counter_reseed.py b/litellm/proxy/db/spend_counter_reseed.py index 19ec6699390..e7c5fa3f72c 100644 --- a/litellm/proxy/db/spend_counter_reseed.py +++ b/litellm/proxy/db/spend_counter_reseed.py @@ -178,15 +178,28 @@ class SpendCounterReseed: if db_spend is None: return None # Warm even when 0 so subsequent reads hit cache, not DB. + # + # Seed via SET NX (cross-pod safe): only one pod initializes the + # Redis key with db_spend; concurrent seeders read the winner's + # value. INCRBYFLOAT-of-db_spend from N pods would multiply the + # counter (N x db_spend) and trigger spurious budget alerts. + current_value: float = float(db_spend) try: if spend_counter_cache.redis_cache is not None: - current_value = ( - await spend_counter_cache.redis_cache.async_increment( - key=counter_key, - value=db_spend, - refresh_ttl=True, - ) + seeded = await spend_counter_cache.redis_cache.async_set_cache( + key=counter_key, + value=db_spend, + nx=True, ) + if seeded: + current_value = float(db_spend) + else: + cached = await spend_counter_cache.redis_cache.async_get_cache( + key=counter_key + ) + current_value = ( + float(cached) if cached is not None else float(db_spend) + ) spend_counter_cache.in_memory_cache.set_cache( key=counter_key, value=current_value, @@ -202,7 +215,7 @@ class SpendCounterReseed: ) if require_cache_warm: raise - return db_spend + return current_value @staticmethod async def window_from_spend_logs( diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index 6d10d2a6353..ae0996d16d5 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -5708,6 +5708,7 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss( fake_redis = AsyncMock() fake_redis.async_increment = AsyncMock(side_effect=record_increment) fake_redis.async_get_cache = AsyncMock(return_value=None) # counter missing + fake_redis.async_set_cache = AsyncMock(return_value=True) # SET NX wins counter_cache.redis_cache = fake_redis # Prisma returns spend=42.0 (authoritative) while the stale cached @@ -5744,16 +5745,131 @@ async def test_init_and_increment_spend_counter_reseeds_from_db_on_counter_miss( fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with( where={"team_id": "team-9"} ) - # Two increments keyed on the counter: seed ($42) then request ($1.50). + # Seed uses SET NX with db_spend (42) — cross-pod safe, no INCR of 42. + # Only the per-request delta (1.5) goes through INCRBYFLOAT. + fake_redis.async_set_cache.assert_awaited_once_with( + key="spend:team:team-9", value=42.0, nx=True + ) writes = [(c["key"], c["value"]) for c in recorded_increments] - assert ("spend:team:team-9", 42.0) in writes - assert ("spend:team:team-9", 1.5) in writes + assert writes == [("spend:team:team-9", 1.5)] finally: ps.user_api_key_cache = orig_user ps.spend_counter_cache = orig_counter ps.prisma_client = orig_prisma +@pytest.mark.asyncio +async def test_primary_spend_counter_redis_concurrent_seed_does_not_double_seed(): + """Two pods both observing a missing Redis counter must not both + INCRBYFLOAT the full DB spend. SpendCounterReseed.coalesced uses SET NX + so the loser reads the winner's value; final Redis = db_spend, not + 2 * db_spend. + + The per-counter asyncio.Lock is per-process, so it does NOT coordinate + across pods. We simulate two pods by patching _get_lock to return a + fresh lock per call (each "pod" has its own lock registry in real life). + """ + from litellm.caching.dual_cache import DualCache + from litellm.proxy.db.spend_counter_reseed import SpendCounterReseed + + counter_key = "spend:team:team-concurrent-seed" + redis_store: dict = {} + db_read_count = 0 + set_results: list = [] + get_after_set_count = 0 + set_completed_count = 0 + + async def redis_set_cache(key, value, nx=False, **_): + # Yield BEFORE the membership check so two concurrent callers + # interleave the way real atomic Redis SET NX does: the first + # to resume runs check + write atomically and wins; the second + # resumes after the key exists and loses. Yielding *after* the + # check would let both callers pass the empty-store check before + # either writes, so neither would ever lose. + await asyncio.sleep(0) + if nx and key in redis_store: + set_results.append(False) + return False + redis_store[key] = float(value) + set_results.append(True) + nonlocal set_completed_count + set_completed_count += 1 + return True + + async def redis_get_cache(key): + # Track reads that happen after at least one SET NX has completed + # — those are the loser-path fallback reads we want to verify. + if set_completed_count > 0: + nonlocal get_after_set_count + get_after_set_count += 1 + return redis_store.get(key) + + fake_redis = AsyncMock() + fake_redis.async_get_cache = AsyncMock(side_effect=redis_get_cache) + fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) + + async def slow_find_unique(**_): + nonlocal db_read_count + db_read_count += 1 + # Both pods read DB before either's SET NX lands. + await asyncio.sleep(0) + row = MagicMock() + row.spend = 506.0 + return row + + fake_prisma = MagicMock() + fake_prisma.db.litellm_teamtable.find_unique = AsyncMock( + side_effect=slow_find_unique + ) + + pod_a = DualCache() + pod_a.redis_cache = fake_redis + pod_b = DualCache() + pod_b.redis_cache = fake_redis + + # Each "pod" has its own per-process lock registry. Patch _get_lock to + # always return a fresh lock so the two coalesced calls do not serialize + # via one in-process lock (which is what would happen across pods). + async def fresh_lock(_counter_key): + return asyncio.Lock() + + with patch.object(SpendCounterReseed, "_get_lock", side_effect=fresh_lock): + results = await asyncio.gather( + SpendCounterReseed.coalesced( + prisma_client=fake_prisma, + spend_counter_cache=pod_a, + counter_key=counter_key, + ), + SpendCounterReseed.coalesced( + prisma_client=fake_prisma, + spend_counter_cache=pod_b, + counter_key=counter_key, + ), + ) + + assert all(r == 506.0 for r in results), results + assert redis_store[counter_key] == pytest.approx(506.0), redis_store + # Both pods read the DB and both attempted SET NX; exactly one wrote + # (winner) and one was rejected (loser). + assert db_read_count == 2 + assert fake_redis.async_set_cache.await_count == 2 + nx_writes = [ + call + for call in fake_redis.async_set_cache.await_args_list + if call.kwargs.get("nx") is True + ] + assert len(nx_writes) == 2 + assert sorted(set_results) == [False, True], ( + f"expected exactly one SET NX winner and one loser, got {set_results}" + ) + # Loser path executed: after the winner's SET NX returned True, the + # losing coalesced() call falls back to async_get_cache to read the + # winner's value rather than re-seeding. + assert get_after_set_count >= 1, ( + "loser branch (else: read back winner's value) was never exercised" + ) + + @pytest.mark.asyncio async def test_reseed_spend_from_db_user_and_org_prefixes(): """User and org counters reseed from their own DB tables. @@ -5877,9 +5993,16 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory(): redis_store[key] = (redis_store.get(key) or 0.0) + value return redis_store[key] + async def redis_set_cache(key, value, nx=False, **_): + if nx and key in redis_store: + return False + redis_store[key] = float(value) + return True + fake_redis = AsyncMock() fake_redis.async_get_cache = AsyncMock(return_value=None) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) + fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) counter_cache.redis_cache = fake_redis db_row = MagicMock() @@ -5907,6 +6030,7 @@ async def test_init_spend_counter_redis_clean_miss_skips_stale_in_memory(): fake_prisma.db.litellm_teamtable.find_unique.assert_awaited_once_with( where={"team_id": "team-stale-local"} ) + # Seed via SET NX (42) + delta via INCRBYFLOAT (1.5) = 43.5. assert redis_store[counter_key] == pytest.approx(43.5) assert counter_cache.in_memory_cache.get_cache( key=counter_key @@ -6297,14 +6421,14 @@ async def test_get_current_spend_reseeds_from_db_when_counter_missing(): from litellm.proxy.proxy_server import get_current_spend counter_cache = DualCache() - recorded_warms: list = [] + recorded_seeds: list = [] - async def record_increment(key, value, ttl=None, **kwargs): - recorded_warms.append({"key": key, "value": value}) - return value + async def record_set_cache(key, value, nx=False, **kwargs): + recorded_seeds.append({"key": key, "value": value, "nx": nx}) + return True fake_redis = AsyncMock() - fake_redis.async_increment = AsyncMock(side_effect=record_increment) + fake_redis.async_set_cache = AsyncMock(side_effect=record_set_cache) fake_redis.async_get_cache = AsyncMock(return_value=None) counter_cache.redis_cache = fake_redis @@ -6329,9 +6453,9 @@ async def test_get_current_spend_reseeds_from_db_when_counter_missing(): f"expected DB reseed to return 362.0, got {spend} " f"(fallback would have returned 30.0 and caused bypass)" ) - # Counter warmed so subsequent reads are fast - assert ("spend:team_member:user-1:team-1", 362.0) in [ - (w["key"], w["value"]) for w in recorded_warms + # Counter warmed via SET NX so subsequent reads are fast. + assert ("spend:team_member:user-1:team-1", 362.0, True) in [ + (s["key"], s["value"], s["nx"]) for s in recorded_seeds ] assert counter_cache.in_memory_cache.get_cache( key="spend:team_member:user-1:team-1" @@ -6408,8 +6532,15 @@ async def test_get_current_spend_coalesces_concurrent_reseeds(): redis_store[key] = (redis_store.get(key) or 0.0) + value return redis_store[key] + async def redis_set_cache(key, value, nx=False, **_): + if nx and key in redis_store: + return False + redis_store[key] = float(value) + return True + fake_redis.async_get_cache = AsyncMock(side_effect=redis_get) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) + fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) counter_cache.redis_cache = fake_redis fake_prisma = MagicMock() @@ -6516,9 +6647,16 @@ async def test_concurrent_read_and_write_paths_share_one_db_query(): redis_store[key] = (redis_store.get(key) or 0.0) + value return redis_store[key] + async def redis_set_cache(key, value, nx=False, **_): + if nx and key in redis_store: + return False + redis_store[key] = float(value) + return True + fake_redis = AsyncMock() fake_redis.async_get_cache = AsyncMock(side_effect=redis_get) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) + fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) counter_cache.redis_cache = fake_redis fake_prisma = MagicMock() @@ -6621,9 +6759,16 @@ async def test_reseed_warms_cache_even_on_zero_db_spend(): redis_store[key] = (redis_store.get(key) or 0.0) + value return redis_store[key] + async def redis_set_cache(key, value, nx=False, **_): + if nx and key in redis_store: + return False + redis_store[key] = float(value) + return True + fake_redis = AsyncMock() fake_redis.async_get_cache = AsyncMock(side_effect=redis_get) fake_redis.async_increment = AsyncMock(side_effect=redis_increment) + fake_redis.async_set_cache = AsyncMock(side_effect=redis_set_cache) counter_cache.redis_cache = fake_redis db_call_count = 0 From 183092d797a31369ce6a0fa43f30f6a6327faf1a Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 21 May 2026 00:43:56 +0530 Subject: [PATCH 03/13] fix(proxy): normalize batch file IDs before ManagedObjectTable write (#28339) * fix(proxy): normalize batch file IDs before ManagedObjectTable write Run post_call_success_hook before update_batch_in_database on retrieve/cancel, and ensure_batch_response_managed_file_ids so file_object never stores raw provider output_file_id or error_file_id. Co-authored-by: Cursor * fix(proxy): address Greptile review on batch file ID normalization Remove redundant resolve_* calls after update_batch_in_database and rename loop variable to avoid shadowing hidden_params unified_file_id. Co-authored-by: Cursor * fix(tests): add mistral/ministral-8b-2512 to cost map and backfill in conftest Mistral rotated the 'mistral/mistral-tiny' alias to return 'ministral-8b-2512' as the response model, which was missing from the cost map. This caused test_completion_mistral_api and test_completion_mistral_api_modified_input to fail in litellm.completion_cost lookup. - Add mistral/ministral-8b-2512 entry to both the in-tree model_prices_and_context_window.json and the bundled litellm/model_prices_and_context_window_backup.json (mirrors the existing openrouter/mistralai/ministral-8b-2512 pricing). - litellm.model_cost is loaded at import time from the URL pinned to main, so the new backup entry isn't visible at test runtime until it also lands on main. Backfill any entries missing from the remote-fetched map into litellm.model_cost in the local_testing conftest so cost-calculator lookups succeed on this branch. * fix(tests): drop unnecessary del of conftest backfill loop vars * fix: resolve batch response file IDs even when status unchanged The status-unchanged early return in update_batch_in_database was skipping ensure_batch_response_managed_file_ids, leaving raw provider input_file_id (and other raw IDs) in the user-facing response when polling an in-progress batch. Move the in-place file ID normalization above the early return so the response always carries unified managed IDs while still skipping the DB write when nothing changed. Co-authored-by: Yassin Kortam * test(batches): cover ensure_batch_response_managed_file_ids branches Add tests for the previously-uncovered paths in ensure_batch_response_managed_file_ids: error_file_id normalization, swallowed conversion errors, UserAPIKeyAuth fallback from db_batch_object, model_name resolution from unified_file_id, and early returns when managed_files_obj, model_id, or auth context are missing. --------- Co-authored-by: Cursor Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com> Co-authored-by: Claude Co-authored-by: Yassin Kortam Co-authored-by: Claude --- litellm/proxy/batches_endpoints/endpoints.py | 28 +- .../openai_files_endpoints/common_utils.py | 84 ++++++ tests/local_testing/conftest.py | 4 +- ..._batch_update_db_managed_output_file_id.py | 260 ++++++++++++++++++ 4 files changed, 356 insertions(+), 20 deletions(-) create mode 100644 tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py diff --git a/litellm/proxy/batches_endpoints/endpoints.py b/litellm/proxy/batches_endpoints/endpoints.py index 935b96a0e39..166ef7a66d0 100644 --- a/litellm/proxy/batches_endpoints/endpoints.py +++ b/litellm/proxy/batches_endpoints/endpoints.py @@ -523,6 +523,10 @@ async def retrieve_batch( # noqa: PLR0915 custom_llm_provider=custom_llm_provider, **data # type: ignore ) + response = await proxy_logging_obj.post_call_success_hook( + data=data, user_api_key_dict=user_api_key_dict, response=response + ) + # FIX: Update the database with the latest state from provider await update_batch_in_database( batch_id=batch_id, @@ -533,19 +537,9 @@ async def retrieve_batch( # noqa: PLR0915 verbose_proxy_logger=verbose_proxy_logger, db_batch_object=db_batch_object, operation="retrieve", + user_api_key_dict=user_api_key_dict, ) - ### CALL HOOKS ### - modify outgoing data - response = await proxy_logging_obj.post_call_success_hook( - data=data, user_api_key_dict=user_api_key_dict, response=response - ) - - # Fix: bug_feb14_batch_retrieve_returns_raw_input_file_id - # Resolve raw provider file IDs (input, output, error) to unified IDs. - if unified_batch_id: - await resolve_input_file_id_to_unified(response, prisma_client) - await resolve_output_file_ids_to_unified(response, prisma_client) - ### ALERTING ### asyncio.create_task( proxy_logging_obj.update_request_status( @@ -917,10 +911,14 @@ async def cancel_batch( **_cancel_batch_data, ) - # FIX: Update the database with the new cancelled state managed_files_obj = proxy_logging_obj.get_proxy_hook("managed_files") from litellm.proxy.proxy_server import prisma_client + response = await proxy_logging_obj.post_call_success_hook( + data=data, user_api_key_dict=user_api_key_dict, response=response + ) + + # FIX: Update the database with the new cancelled state await update_batch_in_database( batch_id=batch_id, unified_batch_id=unified_batch_id, @@ -929,11 +927,7 @@ async def cancel_batch( prisma_client=prisma_client, verbose_proxy_logger=verbose_proxy_logger, operation="cancel", - ) - - ### CALL HOOKS ### - modify outgoing data - response = await proxy_logging_obj.post_call_success_hook( - data=data, user_api_key_dict=user_api_key_dict, response=response + user_api_key_dict=user_api_key_dict, ) ### ALERTING ### diff --git a/litellm/proxy/openai_files_endpoints/common_utils.py b/litellm/proxy/openai_files_endpoints/common_utils.py index 30c78ed5ba7..0415bb456ec 100644 --- a/litellm/proxy/openai_files_endpoints/common_utils.py +++ b/litellm/proxy/openai_files_endpoints/common_utils.py @@ -727,6 +727,76 @@ async def resolve_output_file_ids_to_unified(response, prisma_client) -> None: pass +async def ensure_batch_response_managed_file_ids( + response, + managed_files_obj, + prisma_client, + verbose_proxy_logger, + user_api_key_dict=None, + db_batch_object=None, +) -> None: + """Normalize batch file IDs to managed unified IDs before DB persistence.""" + await resolve_input_file_id_to_unified(response, prisma_client) + await resolve_output_file_ids_to_unified(response, prisma_client) + + if managed_files_obj is None: + return + + hidden_params = getattr(response, "_hidden_params", None) or {} + model_id = hidden_params.get("model_id") + if not model_id: + return + + model_name = hidden_params.get("model_name") + unified_file_id = hidden_params.get("unified_file_id") + if not model_name and isinstance(unified_file_id, str): + decoded_unified_file_id = ( + _is_base64_encoded_unified_file_id(unified_file_id) or unified_file_id + ) + target_model_names = get_models_from_unified_file_id(decoded_unified_file_id) + if target_model_names: + model_name = ",".join(target_model_names) + + if user_api_key_dict is None and db_batch_object is not None: + from litellm.proxy._types import UserAPIKeyAuth + + user_api_key_dict = UserAPIKeyAuth( + user_id=getattr(db_batch_object, "created_by", None) or "default-user-id", + team_id=getattr(db_batch_object, "team_id", None), + ) + if user_api_key_dict is None: + return + + for file_attr in ("output_file_id", "error_file_id"): + raw_file_id = getattr(response, file_attr, None) + if not raw_file_id or _is_base64_encoded_unified_file_id(raw_file_id): + continue + try: + new_unified_file_id = managed_files_obj.get_unified_output_file_id( + output_file_id=raw_file_id, + model_id=model_id, + model_name=model_name, + ) + await managed_files_obj.store_unified_file_id( + file_id=new_unified_file_id, + file_object=None, + litellm_parent_otel_span=getattr( + user_api_key_dict, "parent_otel_span", None + ), + model_mappings={model_id: raw_file_id}, + user_api_key_dict=user_api_key_dict, + ) + setattr(response, file_attr, new_unified_file_id) + verbose_proxy_logger.debug( + f"Converted batch {file_attr} {raw_file_id!r} to managed ID before DB write" + ) + except Exception as e: + verbose_proxy_logger.warning( + f"Failed to convert batch {file_attr}={raw_file_id!r} to managed ID " + f"before DB write: {e}" + ) + + async def get_batch_from_database( batch_id: str, unified_batch_id: Union[str, Literal[False]], @@ -800,6 +870,7 @@ async def update_batch_in_database( verbose_proxy_logger, db_batch_object=None, operation: str = "update", + user_api_key_dict=None, ): """ Update batch status and object in ManagedObjectTable. @@ -813,6 +884,7 @@ async def update_batch_in_database( verbose_proxy_logger: Logger instance db_batch_object: Optional existing database object (for comparison) operation: Description of operation ("update", "cancel", etc.) + user_api_key_dict: Optional auth context for creating managed file IDs """ import litellm.utils @@ -823,6 +895,18 @@ async def update_batch_in_database( if not prisma_client: return + # Always normalize the response's file IDs to unified managed IDs + # (mutates in place) so the caller returns unified IDs to the user + # even when we skip the DB update below for an unchanged status. + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=managed_files_obj, + prisma_client=prisma_client, + verbose_proxy_logger=verbose_proxy_logger, + user_api_key_dict=user_api_key_dict, + db_batch_object=db_batch_object, + ) + # Only update if status has changed (when db_batch_object is provided) if db_batch_object and response.status == db_batch_object.status: return diff --git a/tests/local_testing/conftest.py b/tests/local_testing/conftest.py index 06637b844b1..acb79a7577d 100644 --- a/tests/local_testing/conftest.py +++ b/tests/local_testing/conftest.py @@ -31,10 +31,8 @@ import litellm # the cassette state the branch is being tested with. from litellm.litellm_core_utils.get_model_cost_map import GetModelCostMap -_local_cost_map = GetModelCostMap.load_local_model_cost_map() -for _k, _v in _local_cost_map.items(): +for _k, _v in GetModelCostMap.load_local_model_cost_map().items(): litellm.model_cost.setdefault(_k, _v) -del _local_cost_map from tests._vcr_conftest_common import ( # noqa: E402,F401 VerboseReporterState, diff --git a/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py new file mode 100644 index 00000000000..d8669960674 --- /dev/null +++ b/tests/test_litellm/enterprise/proxy/test_batch_update_db_managed_output_file_id.py @@ -0,0 +1,260 @@ +"""Regression: update_batch_in_database must not persist raw provider output_file_id.""" + +import json +from types import SimpleNamespace +from typing import Optional +import pytest +from unittest.mock import AsyncMock, MagicMock + +from litellm.proxy._types import UserAPIKeyAuth +from litellm.proxy.openai_files_endpoints.common_utils import ( + ensure_batch_response_managed_file_ids, + update_batch_in_database, +) +from litellm.types.utils import LiteLLMBatch + + +def _build_batch_response( + *, + batch_id: str = "batch_managed_ids_test", + status: str = "completed", + output_file_id: Optional[str] = "file-rawoutput789", + error_file_id: Optional[str] = None, + hidden_params: Optional[dict] = None, +) -> LiteLLMBatch: + batch = LiteLLMBatch( + id=batch_id, + object="batch", + status=status, + endpoint="/v1/chat/completions", + input_file_id="file-input123", + output_file_id=output_file_id, + error_file_id=error_file_id, + completion_window="24h", + created_at=1234567890, + ) + if hidden_params is not None: + batch._hidden_params = hidden_params # type: ignore[attr-defined] + return batch + + +def _build_managed_files_mock(unified_id: str = "file-bWFuYWdlZF9vdXRwdXRfaWQ="): + mock = MagicMock() + mock.get_unified_output_file_id = MagicMock(return_value=unified_id) + mock.store_unified_file_id = AsyncMock() + return mock + + +def _build_prisma_mock(): + mock = MagicMock() + mock.db.litellm_managedfiletable.find_first = AsyncMock(return_value=None) + mock.db.litellm_managedobjecttable.update = AsyncMock() + return mock + + +@pytest.mark.asyncio +async def test_update_batch_in_database_stores_unified_output_file_id(): + raw_output_file_id = "file-rawoutput789" + unified_output_file_id = "file-bWFuYWdlZF9vdXRwdXRfaWQ=" + batch_id = "batch_managed_ids_test" + unified_batch_id = ( + "litellm_proxy;model_id:my-model;llm_batch_id:batch_managed_ids_test" + ) + + response = _build_batch_response( + batch_id=batch_id, + output_file_id=raw_output_file_id, + hidden_params={"model_id": "my-model", "model_name": "openai/gpt-4o"}, + ) + + mock_managed_files = _build_managed_files_mock(unified_id=unified_output_file_id) + mock_prisma = _build_prisma_mock() + + await update_batch_in_database( + batch_id=batch_id, + unified_batch_id=unified_batch_id, + response=response, + managed_files_obj=mock_managed_files, + prisma_client=mock_prisma, + verbose_proxy_logger=MagicMock(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-abc"), + ) + + stored = json.loads( + mock_prisma.db.litellm_managedobjecttable.update.call_args.kwargs["data"][ + "file_object" + ] + ) + assert stored["output_file_id"] == unified_output_file_id + assert stored["output_file_id"] != raw_output_file_id + + +@pytest.mark.asyncio +async def test_ensure_batch_response_normalizes_error_file_id(): + """Both output_file_id and error_file_id must be normalized to managed IDs.""" + unified_id = "file-bWFuYWdlZF9vdXRwdXRfaWQ=" + response = _build_batch_response( + output_file_id="file-raw-output", + error_file_id="file-raw-error", + hidden_params={"model_id": "my-model", "model_name": "openai/gpt-4o"}, + ) + + mock_managed_files = _build_managed_files_mock(unified_id=unified_id) + mock_prisma = _build_prisma_mock() + + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=mock_managed_files, + prisma_client=mock_prisma, + verbose_proxy_logger=MagicMock(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-abc"), + ) + + assert response.output_file_id == unified_id + assert response.error_file_id == unified_id + assert mock_managed_files.get_unified_output_file_id.call_count == 2 + + +@pytest.mark.asyncio +async def test_ensure_batch_response_swallows_conversion_errors(): + """When the managed-files conversion raises, the failure is logged, not propagated.""" + raw_output_file_id = "file-raw-output" + response = _build_batch_response( + output_file_id=raw_output_file_id, + hidden_params={"model_id": "my-model", "model_name": "openai/gpt-4o"}, + ) + + mock_managed_files = MagicMock() + mock_managed_files.get_unified_output_file_id = MagicMock( + side_effect=RuntimeError("boom") + ) + mock_managed_files.store_unified_file_id = AsyncMock() + + mock_logger = MagicMock() + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=mock_managed_files, + prisma_client=_build_prisma_mock(), + verbose_proxy_logger=mock_logger, + user_api_key_dict=UserAPIKeyAuth(user_id="user-abc"), + ) + + assert response.output_file_id == raw_output_file_id + mock_logger.warning.assert_called() + + +@pytest.mark.asyncio +async def test_ensure_batch_response_builds_auth_from_db_batch_object(): + """If user_api_key_dict is omitted, fall back to created_by/team_id on db_batch_object.""" + unified_id = "file-bWFuYWdlZF9vdXRwdXRfaWQ=" + response = _build_batch_response( + output_file_id="file-raw-output", + hidden_params={"model_id": "my-model", "model_name": "openai/gpt-4o"}, + ) + + mock_managed_files = _build_managed_files_mock(unified_id=unified_id) + db_batch_object = SimpleNamespace( + created_by="user-from-db", team_id="team-from-db", status="completed" + ) + + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=mock_managed_files, + prisma_client=_build_prisma_mock(), + verbose_proxy_logger=MagicMock(), + db_batch_object=db_batch_object, + ) + + forwarded_auth = mock_managed_files.store_unified_file_id.call_args.kwargs[ + "user_api_key_dict" + ] + assert forwarded_auth.user_id == "user-from-db" + assert forwarded_auth.team_id == "team-from-db" + + +@pytest.mark.asyncio +async def test_ensure_batch_response_resolves_model_name_from_unified_file_id(): + """When hidden_params lacks model_name, derive it from unified_file_id.""" + unified_id = "file-bWFuYWdlZF9vdXRwdXRfaWQ=" + response = _build_batch_response( + output_file_id="file-raw-output", + hidden_params={ + "model_id": "my-model", + "unified_file_id": "litellm_proxy:application/octet-stream;unified_id,abc;target_model_names,gpt-4o-mini,gemini-2.0-flash", + }, + ) + + mock_managed_files = _build_managed_files_mock(unified_id=unified_id) + + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=mock_managed_files, + prisma_client=_build_prisma_mock(), + verbose_proxy_logger=MagicMock(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-abc"), + ) + + assert ( + mock_managed_files.get_unified_output_file_id.call_args.kwargs["model_name"] + == "gpt-4o-mini,gemini-2.0-flash" + ) + + +@pytest.mark.asyncio +async def test_ensure_batch_response_returns_early_without_managed_files_obj(): + """Without managed_files_obj, the helper is a no-op (no conversion attempted).""" + response = _build_batch_response( + output_file_id="file-raw-output", + hidden_params={"model_id": "my-model", "model_name": "openai/gpt-4o"}, + ) + + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=None, + prisma_client=_build_prisma_mock(), + verbose_proxy_logger=MagicMock(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-abc"), + ) + + assert response.output_file_id == "file-raw-output" + + +@pytest.mark.asyncio +async def test_ensure_batch_response_returns_early_without_model_id(): + """Without model_id in hidden_params, the helper cannot create managed IDs.""" + response = _build_batch_response( + output_file_id="file-raw-output", + hidden_params={"model_name": "openai/gpt-4o"}, + ) + mock_managed_files = _build_managed_files_mock() + + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=mock_managed_files, + prisma_client=_build_prisma_mock(), + verbose_proxy_logger=MagicMock(), + user_api_key_dict=UserAPIKeyAuth(user_id="user-abc"), + ) + + assert response.output_file_id == "file-raw-output" + mock_managed_files.get_unified_output_file_id.assert_not_called() + + +@pytest.mark.asyncio +async def test_ensure_batch_response_returns_early_without_auth(): + """Without user_api_key_dict or db_batch_object, no conversion is attempted.""" + response = _build_batch_response( + output_file_id="file-raw-output", + hidden_params={"model_id": "my-model", "model_name": "openai/gpt-4o"}, + ) + mock_managed_files = _build_managed_files_mock() + + await ensure_batch_response_managed_file_ids( + response=response, + managed_files_obj=mock_managed_files, + prisma_client=_build_prisma_mock(), + verbose_proxy_logger=MagicMock(), + ) + + assert response.output_file_id == "file-raw-output" + mock_managed_files.get_unified_output_file_id.assert_not_called() From 7f563b25937419382e52f3139d766f8e0015be0a Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 21 May 2026 01:02:34 +0530 Subject: [PATCH 04/13] fix(router): use forwarded model_id for native Azure container IDs (#27921) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix(router): use forwarded model_id for native Azure container IDs in _init_containers_api_endpoints Azure code-interpreter containers return provider-native IDs (cntr_ + hex) that carry no LiteLLM routing payload, so _decode_container_id returns model_id=None. The router was falling through to call the handler directly, bypassing _ageneric_api_call_with_fallbacks and leaving api_base=None for Azure deployments. Fall back to the model_id forwarded from the proxy ownership check so deployment credentials are always applied. Co-authored-by: Cursor * fix(azure-containers): strip /openai/responses path from api_base in AzureContainerConfig.get_complete_url When a deployment's api_base is the responses endpoint URL (e.g. .../openai/responses?api-version=...), AzureContainerConfig was appending /openai/containers on top of it, producing the broken path .../openai/responses/openai/containers. Azure returns 404 for that URL while the correct path is .../openai/containers. Strip any /openai/responses suffix from api_base before constructing the containers URL so the resource root is always used as the starting point. Co-authored-by: Cursor * fix(azure-containers): prefer api-version from api_base URL over deployment's api_version The deployment's api_version (e.g. 2024-08-01-preview) targets the chat/responses API and is too old for the containers API, which requires 2025-04-01-preview. The responses endpoint api_base already carries the correct api-version in its query string. Extract it and use it for the containers URL, overriding the stale deployment-level version. Fixes DELETE and file-upload operations returning 404 due to wrong api-version. Co-authored-by: Cursor * fix(containers): pass params=None instead of params={} to httpx to preserve api-version httpx erases a URL's query-string when params={} (empty dict) is passed, silently stripping ?api-version=2025-04-01-preview from every container POST/DELETE request. Azure's GET endpoints tolerate a missing api-version; POST (upload) and DELETE are strict, so those returned 404. Fix: use `params or None` in container_handler._async_handle and llm_http_handler.async_container_delete_handler (and all sibling container handlers) so that an empty params dict falls back to None, leaving httpx to preserve the URL's existing query string intact. Adds a regression test that directly documents the httpx behaviour. Co-authored-by: Cursor * fix(router): remove elif model_id branch from _init_containers_api_endpoints Two reviewer findings addressed: 1. Truncated comment on the model_id fallback line — now complete. 2. Security: the elif branch that fired when container_id was absent allowed any authenticated caller to supply model_id in a POST /v1/containers body and route the request through an arbitrary deployment UUID, bypassing the model-level access checks that only validate `model`. Removed the elif branch; operations without container_id (create, list) route by the caller-supplied `model` field as before. model_id forwarding is kept only inside the container_id block, where the proxy ownership check has already validated the container before forwarding the deployment ID. Adds a regression test pinning the security boundary: no-container-id path calls original_function directly even when model_id is in kwargs. Co-authored-by: Cursor * test(containers): validate proxy-to-router model_id forwarding for managed IDs Add test_regression_get_container_forwarding_params_sets_model_id_for_managed_id to verify that get_container_forwarding_params (the proxy-side half of the Azure routing fix) correctly extracts and forwards model_id from a LiteLLM-managed encoded container ID. This closes the gap identified by Greptile P1: the previous regression test only injected model_id as a direct kwarg, validating the router in isolation. The new test exercises the actual proxy-to-router data flow through ownership.get_container_forwarding_params, confirming that kwargs["model_id"] is populated before _init_containers_api_endpoints is reached. Co-authored-by: Cursor * fix(azure-containers): tighten endpoint-path strip to endswith match Use path.endswith() instead of path.find() for _AZURE_ENDPOINT_PATHS so the suffix strip only fires when api_base actually ends with one of the endpoint-specific path suffixes. This is the more precise check greptile flagged on the original find()-based implementation. * Fix sync container handler to preserve URL query string Mirror the async path fix: pass None instead of an empty params dict so httpx does not strip the URL's existing query string (e.g. ?api-version=...), which is required for Azure container routing. Co-authored-by: Yassin Kortam * fix(azure-containers): strip trailing slash before endpoint suffix match Co-authored-by: Yassin Kortam * fix(containers): recover model_id from stored encoded id for native Azure container IDs get_container_forwarding_params previously only set model_id when the user-supplied container_id was a LiteLLM-managed encoded id. For native upstream IDs (e.g. Azure 'cntr_') the decode fails and model_id was never forwarded — making the router-side fallback in _init_containers_api_endpoints unreachable in production. Fall back to the stored 'unified_object_id' on the ownership row, which is the encoded form captured at create time when the router selected a specific deployment. Decoding that yields the deployment model_id and restores router-based credential application (api_base, api_key) for retrieve/delete and container-file operations on native IDs. Co-authored-by: Cursor --------- Co-authored-by: Cursor Co-authored-by: Claude Co-authored-by: Yassin Kortam --- .../llms/azure/containers/transformation.py | 41 ++- .../llms/custom_httpx/container_handler.py | 26 +- litellm/llms/custom_httpx/llm_http_handler.py | 20 +- .../_next/static/chunks/e1a670efcb966aaa.js | 26 +- .../proxy/container_endpoints/endpoints.py | 4 +- .../container_endpoints/handler_factory.py | 14 +- .../proxy/container_endpoints/ownership.py | 75 +++++- litellm/router.py | 10 +- .../test_azure_container_transformation.py | 251 ++++++++++++++++++ 9 files changed, 436 insertions(+), 31 deletions(-) diff --git a/litellm/llms/azure/containers/transformation.py b/litellm/llms/azure/containers/transformation.py index 586b2e379a0..cd897511585 100644 --- a/litellm/llms/azure/containers/transformation.py +++ b/litellm/llms/azure/containers/transformation.py @@ -1,9 +1,16 @@ from typing import Optional +from urllib.parse import parse_qs, urlparse, urlunparse from litellm.llms.azure.common_utils import BaseAzureLLM from litellm.llms.openai.containers.transformation import OpenAIContainerConfig from litellm.types.router import GenericLiteLLMParams +# Endpoint-specific path suffixes that may appear in a deployment's api_base +# (e.g. the responses endpoint URL is stored as api_base for Azure models). +# Strip these before building the containers URL so we always start from the +# resource root (https://resource.cognitiveservices.azure.com). +_AZURE_ENDPOINT_PATHS = ("/openai/responses",) + class AzureContainerConfig(OpenAIContainerConfig): """ @@ -27,6 +34,27 @@ class AzureContainerConfig(OpenAIContainerConfig): litellm_params=GenericLiteLLMParams(api_key=api_key), ) + @staticmethod + def _normalize_api_base(api_base: Optional[str]) -> Optional[str]: + """Strip endpoint-specific path suffixes from api_base to get the resource root.""" + if not api_base: + return api_base + parsed = urlparse(api_base) + path = parsed.path.rstrip("/") + for ep in _AZURE_ENDPOINT_PATHS: + if path.endswith(ep): + return urlunparse( + (parsed.scheme, parsed.netloc, path[: -len(ep)], "", "", "") + ) + return api_base + + @staticmethod + def _extract_api_version(api_base: Optional[str]) -> Optional[str]: + """Return the api-version query param from api_base if present.""" + if not api_base: + return None + return parse_qs(urlparse(api_base).query).get("api-version", [None])[0] + def get_complete_url( self, api_base: Optional[str], @@ -39,10 +67,19 @@ class AzureContainerConfig(OpenAIContainerConfig): {endpoint}/openai/v1/containers when api_version is 'v1', 'latest', or 'preview'; otherwise: {endpoint}/openai/containers + + The deployment's api_base may be the responses endpoint URL + (e.g. .../openai/responses?api-version=2025-04-01-preview). We + prefer the api-version embedded there over the deployment's + api_version field, which may point to an older chat API version. """ + effective_params = dict(litellm_params) + api_version_from_base = self._extract_api_version(api_base) + if api_version_from_base: + effective_params["api_version"] = api_version_from_base return BaseAzureLLM._get_base_azure_url( - api_base=api_base, - litellm_params=litellm_params, + api_base=self._normalize_api_base(api_base), + litellm_params=effective_params, route="/openai/containers", default_api_version="v1", ) diff --git a/litellm/llms/custom_httpx/container_handler.py b/litellm/llms/custom_httpx/container_handler.py index 599cd705ebf..501390d840b 100644 --- a/litellm/llms/custom_httpx/container_handler.py +++ b/litellm/llms/custom_httpx/container_handler.py @@ -257,14 +257,19 @@ class GenericContainerHandler: returns_binary = endpoint_config.get("returns_binary", False) is_multipart = endpoint_config.get("is_multipart", False) + # An empty dict passed as `params` to httpx strips any existing query + # string from the URL (e.g. ?api-version=...). Use None instead so + # httpx leaves the URL's own query string intact. + effective_params = query_params or None + try: if method == "GET": response = http_client.get( - url=url, headers=headers, params=query_params + url=url, headers=headers, params=effective_params ) elif method == "DELETE": response = http_client.delete( - url=url, headers=headers, params=query_params + url=url, headers=headers, params=effective_params ) elif method == "POST": if is_multipart and "file" in kwargs: @@ -272,11 +277,11 @@ class GenericContainerHandler: kwargs["file"], headers ) response = http_client.post( - url=url, headers=headers, params=query_params, files=files + url=url, headers=headers, params=effective_params, files=files ) else: response = http_client.post( - url=url, headers=headers, params=query_params + url=url, headers=headers, params=effective_params ) else: raise ValueError(f"Unsupported HTTP method: {method}") @@ -376,14 +381,19 @@ class GenericContainerHandler: returns_binary = endpoint_config.get("returns_binary", False) is_multipart = endpoint_config.get("is_multipart", False) + # An empty dict passed as `params` to httpx strips any existing query + # string from the URL (e.g. ?api-version=...). Use None instead so + # httpx leaves the URL's own query string intact. + effective_params = query_params or None + try: if method == "GET": response = await http_client.get( - url=url, headers=headers, params=query_params + url=url, headers=headers, params=effective_params ) elif method == "DELETE": response = await http_client.delete( - url=url, headers=headers, params=query_params + url=url, headers=headers, params=effective_params ) elif method == "POST": if is_multipart and "file" in kwargs: @@ -391,11 +401,11 @@ class GenericContainerHandler: kwargs["file"], headers ) response = await http_client.post( - url=url, headers=headers, params=query_params, files=files + url=url, headers=headers, params=effective_params, files=files ) else: response = await http_client.post( - url=url, headers=headers, params=query_params + url=url, headers=headers, params=effective_params ) else: raise ValueError(f"Unsupported HTTP method: {method}") diff --git a/litellm/llms/custom_httpx/llm_http_handler.py b/litellm/llms/custom_httpx/llm_http_handler.py index 2ff63cc2d7f..d2af0a3dd52 100644 --- a/litellm/llms/custom_httpx/llm_http_handler.py +++ b/litellm/llms/custom_httpx/llm_http_handler.py @@ -7834,7 +7834,7 @@ class BaseLLMHTTPHandler: response = sync_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_list_response( @@ -7911,7 +7911,7 @@ class BaseLLMHTTPHandler: response = await async_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_list_response( @@ -8001,7 +8001,7 @@ class BaseLLMHTTPHandler: response = sync_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_retrieve_response( @@ -8078,7 +8078,7 @@ class BaseLLMHTTPHandler: response = await async_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_retrieve_response( @@ -8168,7 +8168,7 @@ class BaseLLMHTTPHandler: response = sync_httpx_client.delete( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_delete_response( @@ -8245,7 +8245,7 @@ class BaseLLMHTTPHandler: response = await async_httpx_client.delete( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_delete_response( @@ -8341,7 +8341,7 @@ class BaseLLMHTTPHandler: response = sync_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_file_list_response( @@ -8420,7 +8420,7 @@ class BaseLLMHTTPHandler: response = await async_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_file_list_response( @@ -8508,7 +8508,7 @@ class BaseLLMHTTPHandler: response = sync_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_file_content_response( @@ -8584,7 +8584,7 @@ class BaseLLMHTTPHandler: response = await async_httpx_client.get( url=url, headers=headers, - params=params, + params=params or None, ) return container_provider_config.transform_container_file_content_response( diff --git a/litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js b/litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js index aafe9858009..87d6af3231a 100644 --- a/litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js +++ b/litellm/proxy/_experimental/out/_next/static/chunks/e1a670efcb966aaa.js @@ -1,11 +1,19 @@ +<<<<<<<< HEAD:litellm/proxy/_experimental/out/_next/static/chunks/0279e5299e9f6e98.js +(globalThis.TURBOPACK||(globalThis.TURBOPACK=[])).push(["object"==typeof document?document.currentScript:void 0,111790,758472,280881,e=>{"use strict";e.s([],111790);var t=e.i(843476),s=e.i(708347),r=e.i(750113),l=e.i(994388),a=e.i(197647),n=e.i(653824),i=e.i(881073),o=e.i(404206),c=e.i(723731),d=e.i(599724),m=e.i(629569),u=e.i(844444),x=e.i(869216),h=e.i(212931),p=e.i(199133),g=e.i(592968),f=e.i(898586),b=e.i(271645),j=e.i(500727),y=e.i(266027),v=e.i(912598),N=e.i(243652),_=e.i(764205),w=e.i(135214);let S=(0,N.createQueryKeys)("mcpServerHealth");var C=e.i(727749),T=e.i(988846),k=e.i(678784),A=e.i(995926),I=e.i(328196),P=e.i(302202),O=e.i(409797),M=e.i(54131),F=e.i(440987);let E=[{label:"Documentation",fields:[{key:"description",label:"Description",description:"Must have a non-empty description",check:e=>!!e.description?.trim()},{key:"alias",label:"Alias",description:"Must have a display alias",check:e=>!!e.alias?.trim()}]},{label:"Source",fields:[{key:"source_url",label:"GitHub / Source URL",description:"Must link to a source repository",check:e=>!!e.source_url?.trim()}]},{label:"Connection",fields:[{key:"url",label:"Server URL",description:"Must have a URL configured",check:e=>!!e.url?.trim()}]},{label:"Security",fields:[{key:"auth_type",label:"Auth configured",description:"Must use authentication (not 'none')",check:e=>!!e.auth_type&&"none"!==e.auth_type}]}],L=E.flatMap(e=>e.fields),R="mcp_required_fields",U={active:{label:"Active",bg:"bg-green-50",text:"text-green-700",dot:"bg-green-500"},pending_review:{label:"Pending Review",bg:"bg-yellow-50",text:"text-yellow-700",dot:"bg-yellow-500"},rejected:{label:"Rejected",bg:"bg-red-50",text:"text-red-700",dot:"bg-red-500"}};function z({label:e,value:s,color:r}){return(0,t.jsxs)("div",{className:"bg-white border border-gray-200 rounded-lg px-4 py-3",children:[(0,t.jsx)("div",{className:`text-2xl font-bold ${r}`,children:s}),(0,t.jsx)("div",{className:"text-xs text-gray-500 mt-0.5",children:e})]})}function B({action:e,serverName:s,isCurrentlyActive:r,onConfirm:l,onCancel:a}){let[n,i]=(0,b.useState)(""),o="approve"===e;return(0,t.jsx)("div",{className:"fixed inset-0 bg-black/30 flex items-center justify-center z-50",children:(0,t.jsxs)("div",{className:"bg-white rounded-xl shadow-xl p-6 max-w-sm w-full mx-4",children:[(0,t.jsx)("div",{className:`w-10 h-10 rounded-full flex items-center justify-center mb-4 ${o?"bg-green-100":"bg-red-100"}`,children:o?(0,t.jsx)(k.CheckIcon,{className:"h-5 w-5 text-green-600"}):(0,t.jsx)(I.AlertCircleIcon,{className:"h-5 w-5 text-red-600"})}),(0,t.jsx)("h3",{className:"text-base font-semibold text-gray-900 mb-1",children:o?"Approve MCP Server":"Reject MCP Server"}),(0,t.jsxs)("p",{className:"text-sm text-gray-500 mb-4",children:["Are you sure you want to ",e," ",(0,t.jsxs)("span",{className:"font-medium text-gray-700",children:['"',s,'"']}),"?"," ",o?"This will make it active and available for use.":r?"This server is currently live. 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Without # this, every list call issues a fresh ``find_many`` against # ``litellm_managedobjecttable``. The cache key is the sorted owner-scope @@ -56,7 +63,7 @@ def decode_container_id_for_ownership( return original_container_id, custom_llm_provider -def get_container_forwarding_params( +async def get_container_forwarding_params( container_id: str, original_container_id: str, custom_llm_provider: str ) -> Dict[str, str]: params = { @@ -65,6 +72,20 @@ def get_container_forwarding_params( } decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) model_id = decoded.get("model_id") + if not (isinstance(model_id, str) and model_id): + # Native upstream IDs (e.g. Azure ``cntr_``) carry no LiteLLM + # routing payload, so decoding the user-supplied id yields no + # ``model_id``. Recover it from the encoded ``unified_object_id`` + # captured on the ownership row at create time — when the router + # selected a specific deployment that ID embeds the model_id. + stored_id = await _get_stored_container_id( + original_container_id, custom_llm_provider + ) + if stored_id and stored_id != container_id: + stored_decoded = ResponsesAPIRequestUtils._decode_container_id(stored_id) + stored_model_id = stored_decoded.get("model_id") + if isinstance(stored_model_id, str) and stored_model_id: + model_id = stored_model_id if isinstance(model_id, str) and model_id: params["model_id"] = model_id return params @@ -168,6 +189,7 @@ async def record_container_owner( ) _CONTAINER_OWNER_CACHE.set_cache(model_object_id, owner) + _CONTAINER_STORED_ID_CACHE.set_cache(model_object_id, container_id) # Drop the caller's own list-cache entry so the just-created container # shows up on their next ``GET /v1/containers``. Other callers with # disjoint scope tuples have their own entries; intersecting-scope @@ -207,9 +229,60 @@ async def _get_container_owner( _CONTAINER_OWNER_CACHE.set_cache( model_object_id, owner if owner is not None else _NEGATIVE_OWNER_SENTINEL ) + stored_id = getattr(row, "unified_object_id", None) if row is not None else None + _CONTAINER_STORED_ID_CACHE.set_cache( + model_object_id, + ( + stored_id + if isinstance(stored_id, str) and stored_id + else _NEGATIVE_STORED_ID_SENTINEL + ), + ) return owner +async def _get_stored_container_id( + original_container_id: str, custom_llm_provider: str +) -> Optional[str]: + """Return the ``unified_object_id`` stored at create time, if any. + + Used by :func:`get_container_forwarding_params` to recover the + deployment ``model_id`` for native upstream container IDs: the stored + value is the encoded form produced by ``encode_container_id_in_response`` + when the router selected a specific deployment. + """ + model_object_id = _container_model_object_id( + original_container_id, custom_llm_provider + ) + + cached = _CONTAINER_STORED_ID_CACHE.get_cache(model_object_id) + if cached == _NEGATIVE_STORED_ID_SENTINEL: + return None + if isinstance(cached, str) and cached: + return cached + + prisma_client = await _get_prisma_client() + if prisma_client is None: + return None + + row = await prisma_client.db.litellm_managedobjecttable.find_first( + where={ + "model_object_id": model_object_id, + "file_purpose": CONTAINER_OBJECT_PURPOSE, + } + ) + stored_id = getattr(row, "unified_object_id", None) if row is not None else None + _CONTAINER_STORED_ID_CACHE.set_cache( + model_object_id, + ( + stored_id + if isinstance(stored_id, str) and stored_id + else _NEGATIVE_STORED_ID_SENTINEL + ), + ) + return stored_id if isinstance(stored_id, str) and stored_id else None + + async def assert_user_can_access_container( container_id: str, user_api_key_dict: UserAPIKeyAuth, diff --git a/litellm/router.py b/litellm/router.py index 019f565e5c4..d1728f1deeb 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -5670,6 +5670,7 @@ class Router: from litellm.responses.utils import ResponsesAPIRequestUtils container_id = kwargs.get("container_id") + _forwarded_model_id = kwargs.get("model_id") if isinstance(container_id, str): decoded = ResponsesAPIRequestUtils._decode_container_id(container_id) original_id = decoded.get("response_id", container_id) @@ -5678,7 +5679,14 @@ class Router: decoded_provider = decoded.get("custom_llm_provider") if decoded_provider and kwargs.get("custom_llm_provider") == "openai": kwargs["custom_llm_provider"] = decoded_provider - model_id = decoded.get("model_id") + # Fall back to the model_id forwarded by the proxy when the container_id + # is a native upstream ID (e.g. Azure hex cntr_) that carries no LiteLLM + # routing payload, so deployment credentials (api_base, api_key) are applied. + model_id = decoded.get("model_id") or ( + _forwarded_model_id.strip() + if isinstance(_forwarded_model_id, str) and _forwarded_model_id.strip() + else None + ) if model_id: kwargs["model"] = model_id return await self._ageneric_api_call_with_fallbacks( diff --git a/tests/test_litellm/containers/test_azure_container_transformation.py b/tests/test_litellm/containers/test_azure_container_transformation.py index 70181f6f03d..cdcccf7c04e 100644 --- a/tests/test_litellm/containers/test_azure_container_transformation.py +++ b/tests/test_litellm/containers/test_azure_container_transformation.py @@ -109,6 +109,31 @@ class TestAzureContainerConfig: assert "/openai/v1/containers" in url + def test_get_complete_url_strips_responses_path_and_preserves_api_version(self): + """When api_base is the responses endpoint URL, get_complete_url must: + - strip /openai/responses (no double-path) + - use the api-version from api_base query string, NOT the deployment's + older api_version (e.g. 2024-08-01-preview → containers need 2025-04-01-preview) + """ + api_base = "https://my-resource.cognitiveservices.azure.com/openai/responses?api-version=2025-04-01-preview" + + url = self.config.get_complete_url( + api_base=api_base, + litellm_params={"api_version": "2024-08-01-preview"}, + ) + + assert ( + "/openai/responses/openai/containers" not in url + ), "path must not double /openai/responses" + assert "my-resource.cognitiveservices.azure.com" in url + assert "/openai/containers" in url or "/openai/v1/containers" in url + assert ( + "2025-04-01-preview" in url + ), "must use version from api_base, not litellm_params" + assert ( + "2024-08-01-preview" not in url + ), "must not fall back to older chat api_version" + def test_get_complete_url_raises_without_api_base(self, monkeypatch): monkeypatch.delenv("AZURE_API_BASE", raising=False) monkeypatch.setattr(litellm, "api_base", None) @@ -531,6 +556,92 @@ class TestAzureContainerKnownFailureRegressions: assert qs.get("api-version") == ["v1"] assert qs.get("foo") == ["bar"] + @pytest.mark.asyncio + async def test_regression_no_container_id_does_not_use_user_supplied_model_id( + self, monkeypatch + ): + """Operations without container_id (create, list) must NOT route via + _ageneric_api_call_with_fallbacks using a caller-supplied model_id. + + Security boundary: only the path that holds a validated container_id + is trusted to fall back to the forwarded model_id. A caller setting + model_id without container_id on POST /v1/containers must not gain + access to an arbitrary deployment UUID. + """ + from litellm.router import Router + + router = Router( + model_list=[ + { + "model_name": "azure-model", + "litellm_params": { + "model": "azure/gpt-4", + "api_base": "https://my-resource.cognitiveservices.azure.com", + "api_key": "test-key", + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "deployment-uuid-123"}, + } + ] + ) + + fallback_called = {"called": False} + + async def _mock_fallback(original_function, **kwargs): + fallback_called["called"] = True + return {} + + monkeypatch.setattr(router, "_ageneric_api_call_with_fallbacks", _mock_fallback) + + original_called = {"called": False} + + async def _noop(**kwargs): + original_called["called"] = True + return {} + + # No container_id — simulates create/list; caller injects a model_id + await router._init_containers_api_endpoints( + original_function=_noop, + model_id="deployment-uuid-123", + custom_llm_provider="azure", + ) + + assert not fallback_called["called"], ( + "_ageneric_api_call_with_fallbacks must NOT be called when " + "container_id is absent, even if model_id is supplied" + ) + assert original_called["called"], "original_function must be called directly" + + def test_regression_httpx_empty_params_strips_query_string(self): + """httpx erases the URL query-string when params={} (empty dict) is passed. + + Root cause of the Azure container 404s on POST/DELETE: + _build_query_params returns {} when the endpoint has no extra params; + passing that {} as params= to httpx wiped ?api-version=2025-04-01-preview. + + Fix: every container httpx call now uses `params or None` so an empty + dict falls back to None, which tells httpx to leave the URL untouched. + """ + url = ( + "https://resource.cognitiveservices.azure.com" + "/openai/containers/cntr_123?api-version=2025-04-01-preview" + ) + client = httpx.AsyncClient() + + req_none = client.build_request("DELETE", url, params=None) + assert "api-version=2025-04-01-preview" in str(req_none.url) + + req_empty = client.build_request("DELETE", url, params={}) + assert "api-version" not in str( + req_empty.url + ), "Documents root cause: params={} strips the query string" + + effective: dict = {} + req_guarded = client.build_request("DELETE", url, params=effective or None) + assert "api-version=2025-04-01-preview" in str( + req_guarded.url + ), "`params or None` must preserve ?api-version" + def test_regression_proxy_resolves_azure_text_same_as_azure(self): """Router/proxy treat azure_text like azure for container config.""" from litellm.proxy.container_endpoints.handler_factory import ( @@ -770,3 +881,143 @@ class TestAzureContainerKnownFailureRegressions: assert captured["data"]["container_id"] == "cntr_123" assert captured["data"]["custom_llm_provider"] == "azure" assert captured["data"]["model_id"] == "model_abc123" + + @pytest.mark.asyncio + async def test_regression_get_container_forwarding_params_sets_model_id_for_managed_id( + self, + ): + """get_container_forwarding_params must extract model_id from a + LiteLLM-managed encoded container ID and include it in the forwarding + dict. This is the proxy-side half of the native-Azure-ID routing fix: + the router's _init_containers_api_endpoints reads kwargs["model_id"] + which is set here. + """ + from litellm.proxy.container_endpoints.ownership import ( + get_container_forwarding_params, + ) + + encoded_id = ResponsesAPIRequestUtils._build_container_id( + custom_llm_provider="azure", + model_id="deployment-uuid-123", + container_id="cntr_6a058b43d24c8190a226cfb1d35405b20115fb7875ff11df", + ) + + params = await get_container_forwarding_params( + container_id=encoded_id, + original_container_id="cntr_6a058b43d24c8190a226cfb1d35405b20115fb7875ff11df", + custom_llm_provider="azure", + ) + + assert ( + params.get("model_id") == "deployment-uuid-123" + ), "model_id must be forwarded to the router for managed container IDs" + assert params.get("container_id") == ( + "cntr_6a058b43d24c8190a226cfb1d35405b20115fb7875ff11df" + ) + assert params.get("custom_llm_provider") == "azure" + + @pytest.mark.asyncio + async def test_regression_get_container_forwarding_params_recovers_model_id_for_native_id( + self, monkeypatch + ): + """Native Azure IDs (``cntr_``) cannot be decoded, so model_id + must be recovered from the ownership row's ``unified_object_id`` — + the encoded form captured at create time when the router selected a + specific deployment. Without this, the router-side fallback for + native IDs in ``_init_containers_api_endpoints`` is dead code. + """ + from types import SimpleNamespace + from unittest.mock import AsyncMock + + from litellm.proxy.container_endpoints import ownership + from litellm.proxy.container_endpoints.ownership import ( + get_container_forwarding_params, + ) + + native_id = "cntr_6a058b43d24c8190a226cfb1d35405b20115fb7875ff11df" + encoded_stored_id = ResponsesAPIRequestUtils._build_container_id( + custom_llm_provider="azure", + model_id="deployment-uuid-123", + container_id=native_id, + ) + + ownership._CONTAINER_STORED_ID_CACHE.flush_cache() + ownership._CONTAINER_OWNER_CACHE.flush_cache() + + table = AsyncMock() + table.find_first.return_value = SimpleNamespace( + created_by="user-1", + file_purpose=ownership.CONTAINER_OBJECT_PURPOSE, + unified_object_id=encoded_stored_id, + ) + prisma_client = SimpleNamespace( + db=SimpleNamespace(litellm_managedobjecttable=table) + ) + monkeypatch.setattr( + ownership, + "_get_prisma_client", + AsyncMock(return_value=prisma_client), + ) + + params = await get_container_forwarding_params( + container_id=native_id, + original_container_id=native_id, + custom_llm_provider="azure", + ) + + assert params.get("model_id") == "deployment-uuid-123", ( + "model_id must be recovered from the stored unified_object_id " + "for native upstream container IDs" + ) + assert params.get("container_id") == native_id + assert params.get("custom_llm_provider") == "azure" + + @pytest.mark.asyncio + async def test_regression_native_azure_container_id_uses_forwarded_model_id( + self, monkeypatch + ): + """Native Azure container IDs (cntr_ + hex, no LiteLLM payload) must + still route through _ageneric_api_call_with_fallbacks using the + model_id forwarded from the proxy ownership check so that deployment + credentials (api_base) are applied.""" + from litellm.router import Router + + router = Router( + model_list=[ + { + "model_name": "azure-model", + "litellm_params": { + "model": "azure/gpt-4", + "api_base": "https://my-resource.cognitiveservices.azure.com", + "api_key": "test-key", + "api_version": "2025-04-01-preview", + }, + "model_info": {"id": "deployment-uuid-123"}, + } + ] + ) + + called_with: dict = {} + + async def _mock_fallback(original_function, **kwargs): + called_with.update(kwargs) + return {} + + monkeypatch.setattr(router, "_ageneric_api_call_with_fallbacks", _mock_fallback) + + native_azure_id = "cntr_6a058b43d24c8190a226cfb1d35405b20115fb7875ff11df" + + async def _noop(**kwargs): + return {} + + await router._init_containers_api_endpoints( + original_function=_noop, + container_id=native_azure_id, + model_id="deployment-uuid-123", + custom_llm_provider="azure", + ) + + assert called_with.get("model") == "deployment-uuid-123", ( + "_ageneric_api_call_with_fallbacks must be called with the forwarded " + "model_id when the container_id carries no LiteLLM routing payload" + ) From 2eeca2d096c14d6e658f80b909dc5b573ee1ba89 Mon Sep 17 00:00:00 2001 From: ryan-crabbe-berri Date: Wed, 20 May 2026 12:35:06 -0700 Subject: [PATCH 05/13] fix(ui): restore log filter loading indicator (#28282) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit When a new filter is applied to spend logs, React Query's keepPreviousData left stale rows on screen for 10–15s with no indication that a fetch was in progress. The previous custom isFilteringResults flag was removed in the #25847 toolbar refactor and only partially restored on the Fetch button. Use React Query's isPlaceholderData to discriminate a real filter change (queryKey changed, data not yet arrived) from a same-key live-tail refetch, and feed it into the existing isLoading prop on the toolbar pagination text and the table body. Live-tail polls still keep previous rows without flicker. Co-authored-by: Ryan --- ui/litellm-dashboard/src/components/view_logs/index.tsx | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/ui/litellm-dashboard/src/components/view_logs/index.tsx b/ui/litellm-dashboard/src/components/view_logs/index.tsx index 03d917cd923..6c5fd03f0a0 100644 --- a/ui/litellm-dashboard/src/components/view_logs/index.tsx +++ b/ui/litellm-dashboard/src/components/view_logs/index.tsx @@ -208,6 +208,8 @@ export default function SpendLogsTable({ accessToken, token, userRole, userID, p const deferredData = useDeferredValue(filteredData); const isStale = deferredData !== filteredData; const isButtonLoading = logsQuery.isFetching || isStale; + const isRefiltering = logsQuery.isPlaceholderData; + const isLogsLoading = logsQuery.isLoading || isRefiltering; if (!accessToken || !token || !userRole || !userID) { return ( @@ -277,7 +279,7 @@ export default function SpendLogsTable({ accessToken, token, userRole, userID, p currentPage={currentPage} onCurrentPageChange={setCurrentPage} pageSize={pageSize} - isLoading={logsQuery.isLoading} + isLoading={isLogsLoading} isButtonLoading={isButtonLoading} onRefetch={() => logsQuery.refetch()} filteredLogs={filteredLogs} @@ -286,7 +288,7 @@ export default function SpendLogsTable({ accessToken, token, userRole, userID, p columns={columns} data={deferredData} onRowClick={handleRowClick} - isLoading={logsQuery.isLoading} + isLoading={isLogsLoading} /> From 5a00cb159286737cd5d7d0a557f0d19978130994 Mon Sep 17 00:00:00 2001 From: ryan-crabbe-berri Date: Wed, 20 May 2026 12:35:29 -0700 Subject: [PATCH 06/13] test(e2e): migrate runner to uv, add All Proxy Models key test (#28313) * chore(e2e): migrate runner to uv, add All Proxy Models key test Switches the local e2e runner (run_e2e.sh) from poetry to uv to match the rest of the repo and CI. Adds a Playwright test for creating an admin key with no team selected (all-proxy-models flow), a SLOWMO env hook for headed debugging, and a MIGRATION_TRACKING.md doc that maps the manual UI QA checklist to e2e tests so future migration work has a single source of truth. * chore(e2e): address greptile feedback - Remove MIGRATION_TRACKING.md (docs belong in litellm-docs repo) - playwright.config.ts: fall back to 0 when SLOWMO is non-numeric (parseInt returns NaN, which Playwright accepts silently) - run_e2e.sh: add --frozen to uv sync for CI determinism --- .../e2e_tests/playwright.config.ts | 5 ++++ ui/litellm-dashboard/e2e_tests/run_e2e.sh | 18 +++++------- .../e2e_tests/tests/proxy-admin/keys.spec.ts | 29 +++++++++++++++++++ 3 files changed, 41 insertions(+), 11 deletions(-) diff --git a/ui/litellm-dashboard/e2e_tests/playwright.config.ts b/ui/litellm-dashboard/e2e_tests/playwright.config.ts index ec4d3a6ddb0..6964fe52a14 100644 --- a/ui/litellm-dashboard/e2e_tests/playwright.config.ts +++ b/ui/litellm-dashboard/e2e_tests/playwright.config.ts @@ -28,6 +28,11 @@ export default defineConfig({ /* Action timeout for clicks, fills, waitForSelector, etc. */ actionTimeout: 15 * 1000, navigationTimeout: 30 * 1000, + + /* Slow down actions when SLOWMO= is set, useful for headed local debugging */ + launchOptions: { + slowMo: process.env.SLOWMO ? (parseInt(process.env.SLOWMO, 10) || 0) : 0, + }, }, /* Configure projects for major browsers */ diff --git a/ui/litellm-dashboard/e2e_tests/run_e2e.sh b/ui/litellm-dashboard/e2e_tests/run_e2e.sh index 4e3a47edfbd..f8f570cda89 100755 --- a/ui/litellm-dashboard/e2e_tests/run_e2e.sh +++ b/ui/litellm-dashboard/e2e_tests/run_e2e.sh @@ -15,7 +15,7 @@ set -euo pipefail # In CI (CI=true), expects: # - PostgreSQL already running on 127.0.0.1:5432 # - DATABASE_URL already set -# - Python/Poetry already installed +# - Python/uv already installed # - Node.js/npx already available # ================================================================ @@ -48,7 +48,7 @@ cleanup() { trap cleanup EXIT INT TERM # --- Pre-flight checks --- -for cmd in python3 npx poetry; do +for cmd in python3 npx uv; do command -v "$cmd" >/dev/null 2>&1 || { echo "Error: $cmd not found."; exit 1; } done @@ -117,19 +117,15 @@ echo "UI build copied and restructured" # --- Python environment --- echo "=== Setting up Python environment ===" cd "$REPO_ROOT" -if ! poetry run python3 -c "import prisma" 2>/dev/null; then - echo "Installing Python dependencies (first run)..." - poetry install --with dev,proxy-dev --extras "proxy" --quiet - poetry run pip install nodejs-wheel-binaries 2>/dev/null || true - poetry run prisma generate --schema litellm/proxy/schema.prisma -fi +uv sync --group dev --group proxy-dev --extra proxy --frozen --quiet +uv run --no-sync python -m prisma generate --schema litellm/proxy/schema.prisma echo "=== Pushing Prisma schema to database ===" -poetry run prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss +uv run --no-sync python -m prisma db push --schema litellm/proxy/schema.prisma --accept-data-loss # --- Mock LLM server --- echo "=== Starting mock LLM server ===" -poetry run python3 "$SCRIPT_DIR/fixtures/mock_llm_server/server.py" & +uv run --no-sync python "$SCRIPT_DIR/fixtures/mock_llm_server/server.py" & MOCK_PID=$! for i in $(seq 1 15); do @@ -140,7 +136,7 @@ done # --- LiteLLM proxy --- echo "=== Starting LiteLLM proxy ===" cd "$REPO_ROOT" -poetry run python3 -m litellm.proxy.proxy_cli \ +uv run --no-sync python -m litellm.proxy.proxy_cli \ --config "$SCRIPT_DIR/fixtures/config.yml" \ --port 4000 & PROXY_PID=$! diff --git a/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts index 14ceb1a4a6b..a2f2449e1fb 100644 --- a/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts +++ b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts @@ -126,4 +126,33 @@ test.describe("Proxy Admin - Keys", () => { await expect(page.getByText(E2E_INTERNAL_USER_KEY_ALIAS)).toBeVisible({ timeout: 10_000 }); }); + + test("Create a key with All Proxy Models (no team)", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + await page.getByRole("button", { name: /Create New Key/i }).click(); + + await expect(page.getByText("Key Ownership")).toBeVisible({ timeout: 10_000 }); + + const keyName = `e2e-admin-allproxy-${Date.now()}`; + await page.getByTestId("base-input").fill(keyName); + + // No team selection — leave team dropdown empty so the key is owned by the admin user + + // Select models — open the multi-select and pick the all-models meta-option. + // The Create Key modal labels this "All Team Models" even when no team is selected + // (see src/components/organisms/create_key_button.tsx:944), unlike the team/user + // settings screens which use "All Proxy Models". + await page.locator(".ant-select-selection-overflow").click(); + await page.locator(".ant-select-dropdown:visible").getByText("All Team Models").click(); + await page.keyboard.press("Escape"); + + await page.getByRole("button", { name: "Create Key", exact: true }).click(); + + await expect(page.getByText("Save your Key")).toBeVisible({ timeout: 10_000 }); + await page.keyboard.press("Escape"); + + await expect(page.getByText(keyName)).toBeVisible({ timeout: 10_000 }); + }); }); From fb73995c4039687a24a37bcc47deb70fedb4bd78 Mon Sep 17 00:00:00 2001 From: ryan-crabbe-berri Date: Wed, 20 May 2026 12:35:49 -0700 Subject: [PATCH 07/13] feat(ui): team passthrough routes create parity + edit load fix (#28098) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * feat(ui): team allowed_passthrough_routes create parity + edit load fix Add the Allowed Pass Through Routes selector to the create-team modal (previously only on the edit form), and fix the edit form silently dropping the field: it lives under team metadata, so initialValues must read info.metadata.allowed_passthrough_routes — otherwise the selector renders empty and saving wipes admin-set routes. Both selectors are gated to premium proxy admins, mirroring the server-side gate. Resolves LIT-3019 * fix(ui): persist team allowed_passthrough_routes edits on save The edit form loaded the selector but the save path never wrote it back: allowed_passthrough_routes stayed in the raw metadata JSON textarea and parsedMetadata (from that textarea) always won, so selector edits were silently discarded. Strip it from the textarea initialValues and overlay values.allowed_passthrough_routes into updateData.metadata, mirroring how guardrails is handled. Resolves LIT-3019 * fix(ui): preserve team passthrough routes for non-proxy-admins on save Only proxy admins may set allowed_passthrough_routes (server-side gate). For non-proxy-admins, write the team's stored value back into metadata instead of the form value, so saving an unrelated setting can't silently wipe routes; omit the key entirely when the team never had any. Resolves LIT-3019 --- .../src/components/OldTeams.tsx | 25 +++++++++++++ .../src/components/team/TeamInfo.tsx | 36 +++++++++++++++---- 2 files changed, 54 insertions(+), 7 deletions(-) diff --git a/ui/litellm-dashboard/src/components/OldTeams.tsx b/ui/litellm-dashboard/src/components/OldTeams.tsx index b9305e4723a..da00ad911b0 100644 --- a/ui/litellm-dashboard/src/components/OldTeams.tsx +++ b/ui/litellm-dashboard/src/components/OldTeams.tsx @@ -45,6 +45,7 @@ import OrganizationDropdown from "./common_components/OrganizationDropdown"; import TableIconActionButton from "./common_components/IconActionButton/TableIconActionButtons/TableIconActionButton"; import { teamListCall as v2TeamListCall, type TeamsResponse } from "@/app/(dashboard)/hooks/teams/useTeams"; import AccessGroupSelector from "./common_components/AccessGroupSelector"; +import PassThroughRoutesSelector from "./common_components/PassThroughRoutesSelector"; import AgentSelector from "./agent_management/AgentSelector"; import ModelAliasManager from "./common_components/ModelAliasManager"; import PremiumLoggingSettings from "./common_components/PremiumLoggingSettings"; @@ -1446,6 +1447,30 @@ const Teams: React.FC = ({ placeholder="Select vector stores (optional)" /> + + + form.setFieldValue("allowed_passthrough_routes", values)} + value={form.getFieldValue("allowed_passthrough_routes")} + accessToken={accessToken || ""} + placeholder="Select pass through routes (optional)" + disabled={!premiumUser || !isProxyAdminRole(userRole || "")} + /> + + diff --git a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx index 8f3553a8395..ce9d15e1e19 100644 --- a/ui/litellm-dashboard/src/components/team/TeamInfo.tsx +++ b/ui/litellm-dashboard/src/components/team/TeamInfo.tsx @@ -502,6 +502,14 @@ const TeamInfoView: React.FC = ({ (n) => !(values.guardrails || []).includes(n), ); + // Non-proxy-admins can't set allowed_passthrough_routes; preserve the + // stored value so an unrelated save can't wipe it. + const passthroughRoutesMetadata = is_proxy_admin + ? { allowed_passthrough_routes: values.allowed_passthrough_routes || [] } + : info.metadata?.allowed_passthrough_routes + ? { allowed_passthrough_routes: info.metadata.allowed_passthrough_routes } + : {}; + const updateData: any = { team_id: teamId, team_alias: values.team_alias, @@ -515,6 +523,7 @@ const TeamInfoView: React.FC = ({ budget_duration: values.budget_duration, metadata: { ...parsedMetadata, + ...passthroughRoutesMetadata, guardrails: (values.guardrails || []).filter((n: string) => !globalGuardrailNames.has(n)), opted_out_global_guardrails: optedOutGlobalGuardrails, ...(values.logging_settings?.length > 0 ? { logging: values.logging_settings } : {}), @@ -961,7 +970,7 @@ const TeamInfoView: React.FC = ({ : "", metadata: info.metadata ? JSON.stringify( - (({ logging, secret_manager_settings, soft_budget_alerting_emails, model_tpm_limit, model_rpm_limit, ...rest }) => rest)(info.metadata), + (({ logging, secret_manager_settings, soft_budget_alerting_emails, model_tpm_limit, model_rpm_limit, allowed_passthrough_routes, ...rest }) => rest)(info.metadata), null, 2, ) @@ -986,6 +995,7 @@ const TeamInfoView: React.FC = ({ }, access_group_ids: info.access_group_ids || [], default_team_member_models: info.default_team_member_models || [], + allowed_passthrough_routes: info.metadata?.allowed_passthrough_routes || [], }} layout="vertical" > @@ -1338,12 +1348,24 @@ const TeamInfoView: React.FC = ({ - form.setFieldValue("allowed_passthrough_routes", values)} - value={form.getFieldValue("allowed_passthrough_routes")} - accessToken={accessToken || ""} - placeholder="Select pass through routes" - /> + + form.setFieldValue("allowed_passthrough_routes", values)} + value={form.getFieldValue("allowed_passthrough_routes")} + accessToken={accessToken || ""} + placeholder="Select pass through routes" + disabled={!premiumUser || !is_proxy_admin} + /> + From 68efe6970c8264783dd658b3bf3d8401d141bab2 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 21 May 2026 02:01:44 +0530 Subject: [PATCH 08/13] fix(mcp): JWT on tools/list and REST tools/call server resolution (#28227) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * fix(mcp): JWT on tools/list, REST server_id resolution, tool_server_mismatch Sign outbound MCP JWTs for list_mcp_tools and inject headers on the tools/list path. Resolve server_id on /mcp-rest/tools/call and return 403 tool_server_mismatch when the tool does not belong to the requested server. Default missing arguments to {}. Co-authored-by: Cursor * fix(mcp): restrict list JWTs to mcp:tools/list and default REST arguments to {} - List-only JWTs (call_type=list_mcp_tools) no longer carry the broad mcp:tools/call scope. _build_scope() now emits only mcp:tools/list when no tool name is provided, mirroring the existing least-privilege rule that tool-call JWTs omit mcp:tools/list. - REST /tools/call now defaults a missing 'arguments' field to {} so execute_mcp_tool() and downstream **arguments / .keys() calls don't receive None and crash with TypeError/AttributeError. Co-authored-by: Yassin Kortam * fix(mcp): validate tool/server in call_tool; skip JWT signer when not configured or static auth present Co-authored-by: Yassin Kortam * fix(mcp): align tests and mypy with user_api_key_auth on tools/list Update mocks for the new _get_tools_from_server parameter, mock server registry in REST access-denied test, and narrow static_headers for mypy. Co-authored-by: Cursor * fix(test): accept user_api_key_auth in get_tools_from_mcp_servers mock The side_effect for the all-servers case did not accept the new kwarg, so tools/list returned an empty list. Co-authored-by: Cursor * fix(mcp): fail fast for unknown tools when server mapping exists Server-name fallback in call_tool must not open an upstream session when the tool is absent from a populated mapping. Update the HTTP transport test to register a known tool before asserting not-found behavior. Co-authored-by: Cursor * fix mypy * Fix mypy * fix(mcp): preserve tools/call scope on missing tool name; pass user_api_key_auth in list_tools Co-authored-by: Yassin Kortam * fix(mcp): match alias/server_name in _resolve_mcp_server_for_tool_call The registry lookup in _resolve_mcp_server_for_tool_call previously only compared candidate.name against the provided server_name, but tool name prefixes can be derived from a server's alias or server_name (see get_server_prefix). When the tool→server mapping is empty/stale (cold start, dynamic tools), the lookup would fail for alias-configured servers even though get_mcp_server_by_name (used by the REST path) matches alias, server_name, and name. Match the same priority of identifiers in both the registry pass and the unprefixed fallback so the MCP protocol call_tool path is consistent with the REST path. Co-authored-by: Yassin Kortam * fix(mcp): reuse proxy_logging DualCache in inject_mcp_jwt_headers_for_upstream Instead of allocating a fresh DualCache() on every tools/list invocation, prefer the shared proxy_logging_obj.internal_usage_cache.dual_cache when available. The cache argument is currently unused by MCPJWTSigner, but sharing the proxy's cache avoids per-call allocation overhead and matches the cache identity used elsewhere in the proxy hook plumbing — so any future per-request state stored in cache will survive across list calls. Co-authored-by: Claude * fix(mcp): return 403 ip_filtering for IP-restricted servers in tools/call name lookup Co-authored-by: Yassin Kortam * fix(test): accept user_api_key_auth kwarg in list_tools mocks The proxy-infra job was failing on four TestMCPServerManager tests because the mock_get_tools_from_server stubs did not accept the new user_api_key_auth keyword argument that list_tools now forwards to _get_tools_from_server. Add the kwarg to each stub so list_tools can call through cleanly. Co-authored-by: Claude * fix(mcp): skip JWT injection when per-user mcp_auth_header is set MCPClient._get_auth_headers() applies extra_headers AFTER writing Authorization from auth_value, so an injected JWT silently overwrites the user's per-server OAuth token. Guard the JWT signer with 'not mcp_auth_header' so per-user OAuth (and any dict-form per-user auth) takes precedence, mirroring the existing static_headers guard. Adds a regression test that the signer's inject helper is not called when mcp_auth_header is supplied. * fix(mcp): skip JWT injection when extra_headers already has Authorization When a server uses per-user OAuth tokens, the resolved token is passed into _get_tools_from_server via extra_headers. The JWT injection guard only checked mcp_auth_header and the server's static headers, so the signer would silently overwrite the user's OAuth Authorization header. Add a check for an existing Authorization entry in extra_headers so caller-supplied per-user OAuth tokens take precedence over JWT signing. Co-authored-by: Yassin Kortam * test(mcp): cover JWT signer + tool-call resolution branches Adds unit tests for the new MCPServerManager helpers (_resolve_mcp_server_for_tool_call, _resolve_oauth2_headers_for_tool_call) and the new MCPJWTSigner paths (_build_scope call_type branches and inject_mcp_jwt_headers_for_upstream). Brings patch coverage above the auto target without changing behavior. Co-authored-by: Claude * fix(mcp): retry tool-server lookup with prefixed name in REST mismatch check When the REST /mcp-rest/tools/call path sends a raw tool name plus requested_server_id, _get_mcp_server_from_tool_name(name) can return None if the mapping only stores the prefixed form. That bypassed the tool_server_mismatch 403 guard and let the call fall through to trusting requested_server. Retry the lookup with every known prefix of the requested server so the mismatch check fires whenever the tool is actually registered. Co-authored-by: Yassin Kortam * fix(mcp): always reject unknown tools in server-name fallback Defense-in-depth: _resolve_mcp_server_for_tool_call previously skipped the unknown-tool check whenever the per-server mapping had no entries yet (cold start, OAuth2 lazy listing, or upstream listing failure), allowing arbitrary tool names to reach upstream servers. Tighten the check so the server-name fallback always rejects tool names not present in the mapping. Callers must call list_tools first (standard MCP flow) before tools/call can resolve. Removes the now-unused _mapping_has_tools_for_server helper and adds an explicit empty-mapping rejection test alongside the existing populated-mapping rejection test. Co-authored-by: Sameer Kankute --------- Co-authored-by: Cursor Co-authored-by: Yassin Kortam Co-authored-by: Claude Co-authored-by: Claude Co-authored-by: Claude (greptile subagent) --- .../mcp_server/mcp_server_manager.py | 209 ++++++++++---- .../mcp_server/rest_endpoints.py | 91 ++++++- .../proxy/_experimental/mcp_server/server.py | 43 +++ .../out/{404.html => 404/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{chat.html => chat/index.html} | 0 .../index.html} | 0 .../{budgets.html => budgets/index.html} | 0 .../{caching.html => caching/index.html} | 0 .../index.html} | 0 .../{old-usage.html => old-usage/index.html} | 0 .../{prompts.html => prompts/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{login.html => login/index.html} | 0 .../out/{logs.html => logs/index.html} | 0 .../{callback.html => callback/index.html} | 0 .../{model-hub.html => model-hub/index.html} | 0 .../{model_hub.html => model_hub/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{policies.html => policies/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../{ui-theme.html => ui-theme/index.html} | 0 .../out/{skills.html => skills/index.html} | 0 .../out/{teams.html => teams/index.html} | 0 .../{test-key.html => test-key/index.html} | 0 .../index.html} | 0 .../index.html} | 0 .../out/{usage.html => usage/index.html} | 0 .../out/{users.html => users/index.html} | 0 .../index.html} | 0 .../mcp_jwt_signer/mcp_jwt_signer.py | 104 ++++++- tests/mcp_tests/test_mcp_server.py | 7 + .../mcp_server/test_mcp_server.py | 8 + .../mcp_server/test_mcp_server_manager.py | 256 ++++++++++++++++++ .../mcp_server/test_rest_endpoints.py | 20 ++ .../proxy/guardrails/test_mcp_jwt_signer.py | 149 +++++++++- 44 files changed, 804 insertions(+), 83 deletions(-) rename litellm/proxy/_experimental/out/{404.html => 404/index.html} (100%) rename litellm/proxy/_experimental/out/{_not-found.html => _not-found/index.html} (100%) rename litellm/proxy/_experimental/out/{api-reference.html => api-reference/index.html} (100%) rename litellm/proxy/_experimental/out/{chat.html => chat/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{api-playground.html => api-playground/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{budgets.html => budgets/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{caching.html => caching/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{claude-code-plugins.html => claude-code-plugins/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{old-usage.html => old-usage/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{prompts.html => prompts/index.html} (100%) rename litellm/proxy/_experimental/out/experimental/{tag-management.html => tag-management/index.html} (100%) rename litellm/proxy/_experimental/out/{guardrails.html => guardrails/index.html} (100%) rename litellm/proxy/_experimental/out/{login.html => login/index.html} (100%) rename litellm/proxy/_experimental/out/{logs.html => logs/index.html} (100%) rename litellm/proxy/_experimental/out/mcp/oauth/{callback.html => callback/index.html} (100%) rename litellm/proxy/_experimental/out/{model-hub.html => model-hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub.html => model_hub/index.html} (100%) rename litellm/proxy/_experimental/out/{model_hub_table.html => model_hub_table/index.html} (100%) rename litellm/proxy/_experimental/out/{models-and-endpoints.html => models-and-endpoints/index.html} (100%) rename litellm/proxy/_experimental/out/{onboarding.html => onboarding/index.html} (100%) rename litellm/proxy/_experimental/out/{organizations.html => organizations/index.html} (100%) rename litellm/proxy/_experimental/out/{playground.html => playground/index.html} (100%) rename litellm/proxy/_experimental/out/{policies.html => policies/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{admin-settings.html => admin-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{logging-and-alerts.html => logging-and-alerts/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{router-settings.html => router-settings/index.html} (100%) rename litellm/proxy/_experimental/out/settings/{ui-theme.html => ui-theme/index.html} (100%) rename litellm/proxy/_experimental/out/{skills.html => skills/index.html} (100%) rename litellm/proxy/_experimental/out/{teams.html => teams/index.html} (100%) rename litellm/proxy/_experimental/out/{test-key.html => test-key/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{mcp-servers.html => mcp-servers/index.html} (100%) rename litellm/proxy/_experimental/out/tools/{vector-stores.html => vector-stores/index.html} (100%) rename litellm/proxy/_experimental/out/{usage.html => usage/index.html} (100%) rename litellm/proxy/_experimental/out/{users.html => users/index.html} (100%) rename litellm/proxy/_experimental/out/{virtual-keys.html => virtual-keys/index.html} (100%) diff --git a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py index d1b49039e8e..bbf40f6e9ef 100644 --- a/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py +++ b/litellm/proxy/_experimental/mcp_server/mcp_server_manager.py @@ -1226,6 +1226,7 @@ class MCPServerManager: tools = await self._get_tools_from_server( server=server, mcp_auth_header=server_auth_header, + user_api_key_auth=user_api_key_auth, ) return tools except Exception as e: @@ -1406,6 +1407,7 @@ class MCPServerManager: extra_headers: Optional[Dict[str, str]] = None, add_prefix: bool = True, raw_headers: Optional[Dict[str, str]] = None, + user_api_key_auth: Optional[UserAPIKeyAuth] = None, ) -> List[MCPTool]: """ Helper method to get tools from a single MCP server with prefixed names. @@ -1432,6 +1434,46 @@ class MCPServerManager: extra_headers = {} extra_headers.update(server.static_headers) + # MCPJWTSigner: inject signed JWT for tools/list (list path skips pre_call_hook). + # Skip entirely when the signer is not configured (avoid an unnecessary + # dict copy on every list call), when the server has its own static + # Authorization header, when a per-user mcp_auth_header has already + # been resolved, or when the caller already supplied an Authorization + # entry in extra_headers (e.g. a per-user OAuth token resolved + # upstream) — admin-configured static auth and per-user OAuth must + # take precedence so the signer doesn't silently overwrite e.g. an + # upstream API key or a user's OAuth token (MCPClient._get_auth_headers + # applies extra_headers after writing Authorization from auth_value, so + # an injected JWT would otherwise clobber the per-user token). + if user_api_key_auth is not None and not server.spec_path: + from litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer import ( + get_mcp_jwt_signer, + inject_mcp_jwt_headers_for_upstream, + ) + + static_headers = server.static_headers or {} + has_static_authorization = any( + isinstance(k, str) and k.lower() == "authorization" + for k in static_headers.keys() + ) + has_extra_authorization = bool(extra_headers) and any( + isinstance(k, str) and k.lower() == "authorization" + for k in (extra_headers or {}).keys() + ) + + if ( + get_mcp_jwt_signer() is not None + and not has_static_authorization + and not mcp_auth_header + and not has_extra_authorization + ): + extra_headers = await inject_mcp_jwt_headers_for_upstream( + user_api_key_dict=user_api_key_auth, + extra_headers=extra_headers, + raw_headers=raw_headers, + for_list_tools=True, + ) + stdio_env = self._build_stdio_env(server, raw_headers) client = await self._create_mcp_client( @@ -2791,6 +2833,112 @@ class MCPServerManager: return cast(CallToolResult, result) + def _resolve_mcp_server_for_tool_call( + self, + server_name: str, + name: str, + ) -> MCPServer: + """Resolve MCP server for call_tool (prefixed name, registry, fallback).""" + prefixed_tool_name = add_server_prefix_to_name(name, server_name) + mcp_server = self._get_mcp_server_from_tool_name(prefixed_tool_name) + resolved_by_server_name_only = False + normalized_server_name = normalize_server_name(server_name) + + def _candidate_matches_server_name(candidate: MCPServer) -> bool: + for identifier in ( + candidate.alias, + candidate.server_name, + candidate.name, + ): + if identifier and normalize_server_name(identifier) == ( + normalized_server_name + ): + return True + return False + + if mcp_server is None: + for candidate in self.get_registry().values(): + if _candidate_matches_server_name(candidate): + mcp_server = candidate + resolved_by_server_name_only = True + break + if mcp_server is None: + fallback = self._get_mcp_server_from_tool_name(name) + if fallback is not None and ( + not server_name or _candidate_matches_server_name(fallback) + ): + mcp_server = fallback + if mcp_server is None: + raise ValueError(f"Tool {name} not found") + + if resolved_by_server_name_only: + tool_known = ( + name in self.tool_name_to_mcp_server_name_mapping + or prefixed_tool_name in self.tool_name_to_mcp_server_name_mapping + ) + if not tool_known: + raise ValueError(f"Tool {name} not found") + + return mcp_server + + async def _resolve_oauth2_headers_for_tool_call( + self, + mcp_server: MCPServer, + oauth2_headers: Optional[Dict[str, str]], + user_api_key_auth: Optional[UserAPIKeyAuth], + ) -> Optional[Dict[str, str]]: + """Look up per-user OAuth headers when the client did not supply a token.""" + if ( + not mcp_server.needs_user_oauth_token + or oauth2_headers + or user_api_key_auth is None + ): + return oauth2_headers + + user_id = getattr(user_api_key_auth, "user_id", None) + if not user_id: + return oauth2_headers + + try: + from litellm.proxy._experimental.mcp_server.server import ( # noqa: PLC0415 + _get_user_oauth_extra_headers_from_db, + ) + + stored_headers = await _get_user_oauth_extra_headers_from_db( + server=mcp_server, + user_api_key_auth=user_api_key_auth, + ) + if stored_headers: + return stored_headers + except Exception as _lookup_exc: + verbose_logger.debug( + "call_tool: per-user token lookup failed for " "user=%s server=%s: %s", + user_id, + mcp_server.server_id, + _lookup_exc, + ) + return oauth2_headers + + async def _gather_openapi_tool_tasks( + self, + tasks: List[Any], + proxy_logging_obj: Optional[ProxyLogging], + ) -> CallToolResult: + """Await OpenAPI tool tasks and return the tool call result.""" + try: + mcp_responses = await asyncio.gather(*tasks) + result_index = 1 if proxy_logging_obj else 0 + return cast(CallToolResult, mcp_responses[result_index]) + except ( + BlockedPiiEntityError, + GuardrailRaisedException, + HTTPException, + ) as e: + verbose_logger.error( + f"Guardrail blocked MCP tool call during result check: {str(e)}" + ) + raise e + async def call_tool( self, server_name: str, @@ -2821,12 +2969,7 @@ class MCPServerManager: CallToolResult from the MCP server """ start_time = datetime.datetime.now() - - # Get the MCP server - prefixed_tool_name = add_server_prefix_to_name(name, server_name) - mcp_server = self._get_mcp_server_from_tool_name(prefixed_tool_name) - if mcp_server is None: - raise ValueError(f"Tool {name} not found") + mcp_server = self._resolve_mcp_server_for_tool_call(server_name, name) ######################################################### # Pre MCP Tool Call Hook @@ -2860,36 +3003,9 @@ class MCPServerManager: ) tasks.append(during_hook_task) - # For per-user OAuth servers: if the client didn't supply a token in - # oauth2_headers, look up the stored token from Redis / DB. This is the - # call_tool equivalent of _get_user_oauth_extra_headers_from_db used in - # list_tools. - if ( - mcp_server.needs_user_oauth_token - and not oauth2_headers - and user_api_key_auth is not None - ): - user_id = getattr(user_api_key_auth, "user_id", None) - if user_id: - try: - from litellm.proxy._experimental.mcp_server.server import ( # noqa: PLC0415 - _get_user_oauth_extra_headers_from_db, - ) - - stored_headers = await _get_user_oauth_extra_headers_from_db( - server=mcp_server, - user_api_key_auth=user_api_key_auth, - ) - if stored_headers: - oauth2_headers = stored_headers - except Exception as _lookup_exc: - verbose_logger.debug( - "call_tool: per-user token lookup failed for " - "user=%s server=%s: %s", - user_id, - mcp_server.server_id, - _lookup_exc, - ) + oauth2_headers = await self._resolve_oauth2_headers_for_tool_call( + mcp_server, oauth2_headers, user_api_key_auth + ) # For OpenAPI servers, call the tool handler directly instead of via MCP client if mcp_server.spec_path: @@ -2925,26 +3041,7 @@ class MCPServerManager: hook_extra_headers=hook_result.get("extra_headers"), ) - # For OpenAPI tools, await outside the client context - try: - mcp_responses = await asyncio.gather(*tasks) - - # If proxy_logging_obj is None, the tool call result is at index 0 - # If proxy_logging_obj is not None, the tool call result is at index 1 (after the during hook task) - result_index = 1 if proxy_logging_obj else 0 - result = mcp_responses[result_index] - - return cast(CallToolResult, result) - except ( - BlockedPiiEntityError, - GuardrailRaisedException, - HTTPException, - ) as e: - # Re-raise guardrail exceptions to properly fail the MCP call - verbose_logger.error( - f"Guardrail blocked MCP tool call during result check: {str(e)}" - ) - raise e + return await self._gather_openapi_tool_tasks(tasks, proxy_logging_obj) ######################################################### # End of Methods that call the upstream MCP servers diff --git a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py index 829863d2dbb..7150dee10cf 100644 --- a/litellm/proxy/_experimental/mcp_server/rest_endpoints.py +++ b/litellm/proxy/_experimental/mcp_server/rest_endpoints.py @@ -1,6 +1,17 @@ import importlib from datetime import datetime -from typing import Any, Awaitable, Callable, Dict, List, Literal, Optional, Set, Union +from typing import ( + Any, + Awaitable, + Callable, + Dict, + List, + Literal, + Optional, + Set, + Tuple, + Union, +) from fastapi import APIRouter, Depends, HTTPException, Query, Request, status @@ -231,11 +242,32 @@ if MCP_AVAILABLE: ) return mcp_auth_header, mcp_server_auth_headers, raw_headers + def _resolve_mcp_server_id_for_rest( + server_id: str, + allowed_server_ids: Union[Set[str], List[str]], + client_ip: Optional[str] = None, + ) -> str: + """ + Map REST ``server_id`` (UUID, server_name, or alias) to canonical server_id. + + tools/list already did this; tools/call must match so clients can pass + server names like ``order_status_mcp`` instead of only UUIDs. + """ + allowed = set(allowed_server_ids) + if server_id in allowed: + return server_id + by_name = global_mcp_server_manager.get_mcp_server_by_name( + server_id, client_ip=client_ip + ) + if by_name is not None and by_name.server_id in allowed: + return by_name.server_id + return server_id + async def _resolve_allowed_mcp_servers_with_ip_filter( request: Request, user_api_key_dict: UserAPIKeyAuth, server_id: str, - ) -> List[MCPServer]: + ) -> Tuple[List[MCPServer], str]: """ Resolve allowed MCP servers for a tool call with IP filtering. @@ -245,10 +277,10 @@ if MCP_AVAILABLE: server_id: The server ID to validate access for Returns: - List of allowed MCPServer objects + Tuple of (allowed MCPServer objects, canonical server_id) Raises: - HTTPException: If the server_id is not allowed + HTTPException: If the server_id is not allowed or not found """ # Get all auth contexts auth_contexts = await build_effective_auth_contexts(user_api_key_dict) @@ -268,8 +300,41 @@ if MCP_AVAILABLE: ) ) - # Check if the specified server_id is allowed - if server_id not in allowed_server_ids_set: + canonical_server_id = _resolve_mcp_server_id_for_rest( + server_id, allowed_server_ids_set, _rest_client_ip + ) + + if canonical_server_id not in allowed_server_ids_set: + _server = global_mcp_server_manager.get_mcp_server_by_id( + server_id + ) or global_mcp_server_manager.get_mcp_server_by_name(server_id) + if ( + _server is not None + and _rest_client_ip is not None + and not global_mcp_server_manager._is_server_accessible_from_ip( + _server, _rest_client_ip + ) + ): + raise HTTPException( + status_code=403, + detail={ + "error": "ip_filtering", + "message": ( + f"MCP server '{server_id}' is not accessible from your IP address " + f"({_rest_client_ip}). This server is restricted to internal " + "networks only. To make it externally accessible, set " + "'available_on_public_internet: true' in the server configuration." + ), + }, + ) + if _server is None: + raise HTTPException( + status_code=404, + detail={ + "error": "server_not_found", + "message": f"MCP server '{server_id}' was not found", + }, + ) raise HTTPException( status_code=403, detail={ @@ -285,7 +350,7 @@ if MCP_AVAILABLE: if server is not None: allowed_mcp_servers.append(server) - return allowed_mcp_servers + return allowed_mcp_servers, canonical_server_id async def _get_tools_for_single_server( server, @@ -301,6 +366,7 @@ if MCP_AVAILABLE: extra_headers=extra_headers, add_prefix=False, raw_headers=raw_headers, + user_api_key_auth=user_api_key_auth, ) # Filter tools based on allowed_tools configuration @@ -753,7 +819,7 @@ if MCP_AVAILABLE: }, ) - tool_arguments = data.get("arguments") + tool_arguments = data.get("arguments") or {} proxy_base_llm_response_processor = ProxyBaseLLMRequestProcessing(data=data) ( @@ -786,14 +852,18 @@ if MCP_AVAILABLE: data["user_api_key_auth"] = data["metadata"]["user_api_key_auth"] # Resolve allowed MCP servers with IP filtering - allowed_mcp_servers = await _resolve_allowed_mcp_servers_with_ip_filter( + ( + allowed_mcp_servers, + canonical_server_id, + ) = await _resolve_allowed_mcp_servers_with_ip_filter( request, user_api_key_dict, server_id ) # Look up per-user OAuth headers for this server (mirrors list_tool_rest_api). user_oauth_extra_headers: Optional[Dict[str, str]] = None target_server = next( - (s for s in allowed_mcp_servers if s.server_id == server_id), None + (s for s in allowed_mcp_servers if s.server_id == canonical_server_id), + None, ) if target_server is not None: user_oauth_extra_headers = await _get_user_oauth_extra_headers( @@ -812,6 +882,7 @@ if MCP_AVAILABLE: oauth2_headers=user_oauth_extra_headers or data.get("oauth2_headers"), raw_headers=data.get("raw_headers"), litellm_logging_obj=data.get("litellm_logging_obj"), + requested_server_id=canonical_server_id, ) return result except BlockedPiiEntityError as e: diff --git a/litellm/proxy/_experimental/mcp_server/server.py b/litellm/proxy/_experimental/mcp_server/server.py index 0a74a92f9ce..5676aaf0d22 100644 --- a/litellm/proxy/_experimental/mcp_server/server.py +++ b/litellm/proxy/_experimental/mcp_server/server.py @@ -1368,6 +1368,7 @@ if MCP_AVAILABLE: extra_headers=extra_headers, add_prefix=True, # Always add server prefix raw_headers=raw_headers, + user_api_key_auth=user_api_key_auth, ) filtered_tools = filter_tools_by_allowed_tools(tools, server) @@ -2074,6 +2075,7 @@ if MCP_AVAILABLE: """ # Track resolved MCP server for both permission checks and dispatch mcp_server: Optional[MCPServer] = None + requested_server_id: Optional[str] = kwargs.get("requested_server_id") # If the client called with a display-name override (e.g. "Get Pet"), # translate it back to the original prefixed name before any routing. @@ -2082,14 +2084,55 @@ if MCP_AVAILABLE: # Remove prefix from tool name for logging and processing original_tool_name, server_name = split_server_prefix_from_name(name) + requested_server: Optional[MCPServer] = None + if requested_server_id: + requested_server = next( + (s for s in allowed_mcp_servers if s.server_id == requested_server_id), + None, + ) + # Resolve the actual MCP server up-front so the permission check uses # the canonical server.name even when the tool name is prefixed with a # short ID (LITELLM_USE_SHORT_MCP_TOOL_PREFIX) that doesn't match the # server's display name directly. mcp_server = global_mcp_server_manager._get_mcp_server_from_tool_name(name) + if mcp_server is None and requested_server is not None: + # REST callers may pass the raw tool name (no prefix) plus a + # ``requested_server_id``. The mapping might only contain the + # prefixed form, so retry the lookup with every known prefix of + # the requested server before treating the tool as unresolved — + # otherwise the tool_server_mismatch guard below is silently + # bypassed. + for known_prefix in iter_known_server_prefixes(requested_server): + candidate = global_mcp_server_manager._get_mcp_server_from_tool_name( + add_server_prefix_to_name(name, known_prefix) + ) + if candidate is not None: + mcp_server = candidate + break if mcp_server is not None: server_name = mcp_server.name + # REST /mcp-rest/tools/call passes server_id — tool must belong to that server + if requested_server is not None: + if ( + mcp_server is not None + and mcp_server.server_id != requested_server.server_id + ): + raise HTTPException( + status_code=403, + detail={ + "error": "tool_server_mismatch", + "message": ( + f"Tool '{name}' belongs to MCP server '{mcp_server.name}' " + f"but request specified server_id for '{requested_server.name}'." + ), + }, + ) + if mcp_server is None: + mcp_server = requested_server + server_name = requested_server.name + # Only enforce server-level permissions when we can resolve a server if server_name: if not MCPRequestHandler.is_tool_allowed( diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404/index.html similarity index 100% rename from litellm/proxy/_experimental/out/404.html rename to litellm/proxy/_experimental/out/404/index.html diff --git a/litellm/proxy/_experimental/out/_not-found.html b/litellm/proxy/_experimental/out/_not-found/index.html similarity index 100% rename from litellm/proxy/_experimental/out/_not-found.html rename to litellm/proxy/_experimental/out/_not-found/index.html diff --git a/litellm/proxy/_experimental/out/api-reference.html b/litellm/proxy/_experimental/out/api-reference/index.html similarity index 100% rename from litellm/proxy/_experimental/out/api-reference.html rename to 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b/litellm/proxy/_experimental/out/experimental/caching/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/caching.html rename to litellm/proxy/_experimental/out/experimental/caching/index.html diff --git a/litellm/proxy/_experimental/out/experimental/claude-code-plugins.html b/litellm/proxy/_experimental/out/experimental/claude-code-plugins/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/claude-code-plugins.html rename to litellm/proxy/_experimental/out/experimental/claude-code-plugins/index.html diff --git a/litellm/proxy/_experimental/out/experimental/old-usage.html b/litellm/proxy/_experimental/out/experimental/old-usage/index.html similarity index 100% rename from litellm/proxy/_experimental/out/experimental/old-usage.html rename to litellm/proxy/_experimental/out/experimental/old-usage/index.html diff --git a/litellm/proxy/_experimental/out/experimental/prompts.html 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litellm/proxy/_experimental/out/users/index.html diff --git a/litellm/proxy/_experimental/out/virtual-keys.html b/litellm/proxy/_experimental/out/virtual-keys/index.html similarity index 100% rename from litellm/proxy/_experimental/out/virtual-keys.html rename to litellm/proxy/_experimental/out/virtual-keys/index.html diff --git a/litellm/proxy/guardrails/guardrail_hooks/mcp_jwt_signer/mcp_jwt_signer.py b/litellm/proxy/guardrails/guardrail_hooks/mcp_jwt_signer/mcp_jwt_signer.py index 5502076829f..0f299f4c5f7 100644 --- a/litellm/proxy/guardrails/guardrail_hooks/mcp_jwt_signer/mcp_jwt_signer.py +++ b/litellm/proxy/guardrails/guardrail_hooks/mcp_jwt_signer/mcp_jwt_signer.py @@ -92,6 +92,8 @@ from litellm.types.utils import CallTypesLiteral # Module-level singleton for the JWKS discovery endpoint to access. _mcp_jwt_signer_instance: Optional["MCPJWTSigner"] = None +_MCP_JWT_CALL_TYPES = frozenset({"call_mcp_tool", "list_mcp_tools"}) + # Simple in-memory JWKS cache: keyed by JWKS URI → (keys_list, fetched_at). _jwks_cache: Dict[str, tuple] = {} _JWKS_CACHE_TTL = 3600 # 1 hour @@ -603,17 +605,23 @@ class MCPJWTSigner(CustomGuardrail): # FR-10: Scope building # ------------------------------------------------------------------ - def _build_scope(self, raw_tool_name: str) -> str: + def _build_scope( + self, + raw_tool_name: str, + call_type: Optional[CallTypesLiteral] = None, + ) -> str: """ Build the JWT scope string. When allowed_scopes is configured: join them verbatim. Otherwise auto-generate minimal, least-privilege scopes: - Tool call → mcp:tools/call mcp:tools/:call - - No tool → mcp:tools/call mcp:tools/list + - No tool → mcp:tools/list NOTE: tools/list is intentionally NOT granted on tool-call JWTs to prevent callers from enumerating tools they didn't ask to use. + Conversely, tools/call is NOT granted on tools/list-only JWTs so an + intercepted list token cannot be replayed to invoke tools. """ if self.allowed_scopes is not None: return " ".join(self.allowed_scopes) @@ -623,8 +631,14 @@ class MCPJWTSigner(CustomGuardrail): ) if tool_name: scopes = ["mcp:tools/call", f"mcp:tools/{tool_name}:call"] + elif call_type == "call_mcp_tool": + # Tool-call request reached the signer without a tool name (e.g. + # missing mcp_tool_name in hook data). Fall back to a generic + # tools/call scope so the upstream server still accepts the + # invocation rather than rejecting it as a tools/list-only token. + scopes = ["mcp:tools/call"] else: - scopes = ["mcp:tools/call", "mcp:tools/list"] + scopes = ["mcp:tools/list"] return " ".join(scopes) # ------------------------------------------------------------------ @@ -673,6 +687,7 @@ class MCPJWTSigner(CustomGuardrail): user_api_key_dict: UserAPIKeyAuth, data: dict, jwt_claims: Optional[Dict[str, Any]] = None, + call_type: Optional[CallTypesLiteral] = None, ) -> Dict[str, Any]: """ Build JWT claims for the outbound MCP access token. @@ -713,7 +728,7 @@ class MCPJWTSigner(CustomGuardrail): # scope (FR-10) raw_tool_name: str = data.get("mcp_tool_name", "") - claims["scope"] = self._build_scope(raw_tool_name) + claims["scope"] = self._build_scope(raw_tool_name, call_type=call_type) # optional_claims passthrough (FR-15) claims = self._passthrough_optional_claims(claims, jwt_claims) @@ -779,16 +794,20 @@ class MCPJWTSigner(CustomGuardrail): Verifies the incoming token (when configured), validates required claims, then signs an outbound JWT and injects it as the Authorization header. - All non-MCP call types pass through unchanged. + Signs outbound MCP tool calls and tools/list requests. """ - if call_type != "call_mcp_tool": + if call_type not in _MCP_JWT_CALL_TYPES: return data + hook_data = dict(data) + if call_type == "list_mcp_tools": + hook_data["mcp_tool_name"] = "" + # ------------------------------------------------------------------ # FR-5: Verify incoming token before re-signing # ------------------------------------------------------------------ jwt_claims: Optional[Dict[str, Any]] = None - raw_token: Optional[str] = data.get("incoming_bearer_token") + raw_token: Optional[str] = hook_data.get("incoming_bearer_token") if self.access_token_discovery_uri and raw_token: # Three-dot pattern → JWT; otherwise opaque. @@ -837,7 +856,9 @@ class MCPJWTSigner(CustomGuardrail): # ------------------------------------------------------------------ # Build outbound access token # ------------------------------------------------------------------ - claims = self._build_claims(user_api_key_dict, data, jwt_claims) + claims = self._build_claims( + user_api_key_dict, hook_data, jwt_claims, call_type=call_type + ) signed_token = jwt.encode( claims, @@ -848,7 +869,7 @@ class MCPJWTSigner(CustomGuardrail): # Merge into existing extra_headers — a prior guardrail in the chain may # have already injected tracing headers or correlation IDs. - existing_headers: Dict[str, str] = data.get("extra_headers") or {} + existing_headers: Dict[str, str] = hook_data.get("extra_headers") or {} new_headers: Dict[str, str] = { **existing_headers, "Authorization": f"Bearer {signed_token}", @@ -875,17 +896,74 @@ class MCPJWTSigner(CustomGuardrail): claims, self._kid ) - data["extra_headers"] = new_headers + hook_data["extra_headers"] = new_headers verbose_proxy_logger.debug( "MCPJWTSigner: signed JWT sub=%s act=%s tool=%s exp=%d " - "verified=%s channel=%s", + "verified=%s channel=%s call_type=%s", claims.get("sub"), claims.get("act", {}).get("sub"), - data.get("mcp_tool_name"), + hook_data.get("mcp_tool_name"), claims["exp"], jwt_claims is not None, bool(self.channel_token_audience), + call_type, ) - return data + return hook_data + + +async def inject_mcp_jwt_headers_for_upstream( + user_api_key_dict: Optional[UserAPIKeyAuth], + extra_headers: Optional[Dict[str, str]] = None, + raw_headers: Optional[Dict[str, str]] = None, + *, + for_list_tools: bool = False, + mcp_tool_name: str = "", +) -> Dict[str, str]: + """ + Sign outbound MCP headers when MCPJWTSigner is configured. + + Used by tools/list paths that do not go through proxy pre_call_hook. + """ + merged = dict(extra_headers or {}) + signer = get_mcp_jwt_signer() + if signer is None or user_api_key_dict is None: + return merged + + normalized_raw = {k.lower(): v for k, v in (raw_headers or {}).items()} + incoming_bearer_token: Optional[str] = None + auth_hdr = normalized_raw.get("authorization", "") + if auth_hdr.lower().startswith("bearer "): + incoming_bearer_token = auth_hdr[len("bearer ") :] + + hook_data: Dict[str, Any] = { + "mcp_tool_name": "" if for_list_tools else mcp_tool_name, + "incoming_bearer_token": incoming_bearer_token, + "extra_headers": merged, + } + call_type: CallTypesLiteral = ( + "list_mcp_tools" if for_list_tools else "call_mcp_tool" + ) + try: + from litellm.proxy.proxy_server import ( # noqa: PLC0415 + proxy_logging_obj as _proxy_logging, + ) + + shared_cache = ( + _proxy_logging.internal_usage_cache.dual_cache + if _proxy_logging is not None + else DualCache() + ) + except Exception: + shared_cache = DualCache() + + result = await signer.async_pre_call_hook( + user_api_key_dict=user_api_key_dict, + cache=shared_cache, + data=hook_data, + call_type=call_type, + ) + if isinstance(result, dict) and result.get("extra_headers"): + merged.update(result["extra_headers"]) + return merged diff --git a/tests/mcp_tests/test_mcp_server.py b/tests/mcp_tests/test_mcp_server.py index 409f4fad99a..809b13aeea6 100644 --- a/tests/mcp_tests/test_mcp_server.py +++ b/tests/mcp_tests/test_mcp_server.py @@ -382,6 +382,11 @@ async def test_mcp_http_transport_tool_not_found(): } ) + # Mapping populated for this server but not for the requested tool + test_manager.tool_name_to_mcp_server_name_mapping["gmail_send_email"] = ( + "test_http_server" + ) + # Try to call a tool that doesn't exist in mapping with pytest.raises(ValueError, match="Tool nonexistent_tool not found"): await test_manager.call_tool( @@ -881,6 +886,7 @@ async def test_get_tools_from_mcp_servers(): extra_headers=None, add_prefix=False, raw_headers=None, + user_api_key_auth=None, ): if server.server_id == "server1_id": return [mock_tool_1] @@ -1856,6 +1862,7 @@ async def test_get_tools_for_single_server(): extra_headers=None, add_prefix=False, raw_headers=None, + user_api_key_auth=None, ) # Verify the result diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py index e1eddfc9c7a..f2fd73f3f22 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server.py @@ -774,6 +774,7 @@ async def test_get_tools_from_mcp_servers_continues_when_one_server_fails(): extra_headers=None, add_prefix=True, raw_headers=None, + user_api_key_auth=None, ): if server.name == "working_server": # Working server returns tools @@ -879,6 +880,7 @@ async def test_get_tools_from_mcp_servers_handles_all_servers_failing(): extra_headers=None, add_prefix=True, raw_headers=None, + user_api_key_auth=None, ): # All servers fail raise Exception(f"Server {server.name} connection failed") @@ -1339,6 +1341,7 @@ async def test_list_tools_single_server_unprefixed_names(): extra_headers=None, add_prefix=False, raw_headers=None, + user_api_key_auth=None, ): tool = MagicMock() tool.name = f"{server.alias}-toolA" if add_prefix else "toolA" @@ -1420,6 +1423,7 @@ async def test_list_tools_multiple_servers_prefixed_names(): extra_headers=None, add_prefix=True, raw_headers=None, + user_api_key_auth=None, ): tool = MagicMock() # When multiple servers, add_prefix should be True -> prefixed names @@ -1686,6 +1690,7 @@ async def test_list_tools_filters_by_key_team_permissions(): extra_headers=None, add_prefix=False, raw_headers=None, + user_api_key_auth=None, ): # Return 4 tools, but only 2 should be allowed tool1 = MagicMock() @@ -1795,6 +1800,7 @@ async def test_list_tools_with_team_tool_permissions_inheritance(): extra_headers=None, add_prefix=False, raw_headers=None, + user_api_key_auth=None, ): # Return 4 tools tool1 = MagicMock() @@ -1890,6 +1896,7 @@ async def test_list_tools_with_no_tool_permissions_shows_all(): extra_headers=None, add_prefix=False, raw_headers=None, + user_api_key_auth=None, ): # Return 3 tools tool1 = MagicMock() @@ -1988,6 +1995,7 @@ async def test_list_tools_strips_prefix_when_matching_permissions(): extra_headers=None, add_prefix=True, raw_headers=None, + user_api_key_auth=None, ): # Return tools WITH prefix (as they come from MCP server) tool1 = MagicMock() diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py index ef1c09aa815..d7078412a44 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_mcp_server_manager.py @@ -322,6 +322,7 @@ class TestMCPServerManager: mcp_auth_header=None, mcp_protocol_version=None, raw_headers=None, + user_api_key_auth=None, ): if server.name == "github": tool1 = MagicMock() @@ -376,6 +377,7 @@ class TestMCPServerManager: mcp_auth_header=None, mcp_protocol_version=None, raw_headers=None, + user_api_key_auth=None, ): assert mcp_auth_header == "legacy-token" # Should use legacy header tool = MagicMock() @@ -414,6 +416,7 @@ class TestMCPServerManager: mcp_auth_header=None, mcp_protocol_version=None, raw_headers=None, + user_api_key_auth=None, ): assert ( mcp_auth_header == "server-specific-token" @@ -1004,6 +1007,7 @@ class TestMCPServerManager: mcp_auth_header=None, mcp_protocol_version=None, raw_headers=None, + user_api_key_auth=None, ): assert ( mcp_auth_header == "server-specific-token" @@ -1801,6 +1805,258 @@ class TestMCPServerManager: assert len(tools_unprefixed) == 1 assert tools_unprefixed[0].name == "send_email" + @pytest.mark.asyncio + async def test_get_tools_from_server_jwt_skipped_when_mcp_auth_header_set(self): + """When a per-user mcp_auth_header is resolved, JWT injection must be skipped. + + MCPClient._get_auth_headers() applies extra_headers AFTER writing + Authorization from auth_value, so an injected JWT would clobber the + user's per-server OAuth token. Regression test for that interaction. + """ + from litellm.proxy._types import UserAPIKeyAuth + + manager = MCPServerManager() + server = MCPServer( + server_id="zapier", + name="zapier", + transport=MCPTransport.http, + ) + + manager._create_mcp_client = AsyncMock(return_value=object()) + manager._fetch_tools_with_timeout = AsyncMock(return_value=[]) + + user_auth = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + + with ( + patch( + "litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer.get_mcp_jwt_signer", + return_value=MagicMock(), + ), + patch( + "litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer.inject_mcp_jwt_headers_for_upstream", + new=AsyncMock(return_value={"Authorization": "Bearer signed-jwt"}), + ) as mock_inject, + ): + # Case A: mcp_auth_header present -> JWT must NOT be injected + await manager._get_tools_from_server( + server, + mcp_auth_header="oauth-user-token", + user_api_key_auth=user_auth, + ) + mock_inject.assert_not_called() + + # Case B: no mcp_auth_header -> JWT injection runs as before + await manager._get_tools_from_server( + server, + user_api_key_auth=user_auth, + ) + mock_inject.assert_awaited_once() + + def test_resolve_mcp_server_for_tool_call_via_prefixed_name(self): + """Resolution succeeds when the prefixed tool name is in the mapping.""" + manager = MCPServerManager() + server = MCPServer( + server_id="jira", + name="jira", + transport=MCPTransport.http, + ) + manager.registry = {"jira": server} + manager.tool_name_to_mcp_server_name_mapping["jira-search_issues"] = "jira" + manager.tool_name_to_mcp_server_name_mapping["search_issues"] = "jira" + + resolved = manager._resolve_mcp_server_for_tool_call("jira", "search_issues") + assert resolved is server + + def test_resolve_mcp_server_for_tool_call_via_alias(self): + """Resolution falls back to alias/server_name match in the registry.""" + manager = MCPServerManager() + server = MCPServer( + server_id="srv-uuid-123", + name="zapier", + alias="zapier-alias", + transport=MCPTransport.http, + ) + manager.registry = {"srv-uuid-123": server} + manager.tool_name_to_mcp_server_name_mapping["create_zap"] = "zapier" + + resolved = manager._resolve_mcp_server_for_tool_call( + "zapier-alias", "create_zap" + ) + assert resolved is server + + def test_resolve_mcp_server_for_tool_call_unknown_tool_with_empty_mapping(self): + """Server-name match alone must not let unknown tools through when the + mapping has no entries for that server (e.g. listing has not completed + or the server is OAuth2 and the user has not yet listed tools). + """ + manager = MCPServerManager() + server = MCPServer( + server_id="srv-uuid-123", + name="zapier", + alias="zapier-alias", + transport=MCPTransport.http, + ) + manager.registry = {"srv-uuid-123": server} + + with pytest.raises(ValueError, match="Tool create_zap not found"): + manager._resolve_mcp_server_for_tool_call("zapier-alias", "create_zap") + + def test_resolve_mcp_server_for_tool_call_fallback_to_unprefixed_lookup(self): + """Fallback to unprefixed _get_mcp_server_from_tool_name when other paths fail.""" + manager = MCPServerManager() + server = MCPServer( + server_id="linear", + name="linear", + transport=MCPTransport.http, + ) + manager.registry = {"linear": server} + manager.tool_name_to_mcp_server_name_mapping["create_issue"] = "linear" + + # server_name is empty so the fallback unprefixed lookup runs and matches. + resolved = manager._resolve_mcp_server_for_tool_call("", "create_issue") + assert resolved is server + + def test_resolve_mcp_server_for_tool_call_raises_when_not_found(self): + """ValueError is raised when no resolution path finds the tool.""" + manager = MCPServerManager() + with pytest.raises(ValueError, match="Tool .* not found"): + manager._resolve_mcp_server_for_tool_call("nonexistent", "ghost_tool") + + def test_resolve_mcp_server_for_tool_call_unknown_tool_with_known_server(self): + """Server-name match alone must not let unknown tools slip through. + + If the registry has tools for this server but neither the prefixed nor + unprefixed tool name is in the mapping, raise rather than returning the + server (would otherwise allow tool enumeration via name spoofing). + """ + manager = MCPServerManager() + server = MCPServer( + server_id="github", + name="github", + transport=MCPTransport.http, + ) + manager.registry = {"github": server} + # Mapping has *some* tools for github but not "missing_tool". + manager.tool_name_to_mcp_server_name_mapping["github-list_repos"] = "github" + manager.tool_name_to_mcp_server_name_mapping["list_repos"] = "github" + + with pytest.raises(ValueError, match="Tool missing_tool not found"): + manager._resolve_mcp_server_for_tool_call("github", "missing_tool") + + @pytest.mark.asyncio + async def test_resolve_oauth2_headers_skipped_when_not_user_oauth(self): + """Returns input headers unchanged when server does not need user OAuth.""" + from litellm.proxy._types import UserAPIKeyAuth + + manager = MCPServerManager() + server = MCPServer( + server_id="plain", + name="plain", + transport=MCPTransport.http, + ) + # needs_user_oauth_token defaults to False. + user_auth = UserAPIKeyAuth(api_key="sk-test", user_id="bob") + + result = await manager._resolve_oauth2_headers_for_tool_call( + server, oauth2_headers=None, user_api_key_auth=user_auth + ) + assert result is None + + @pytest.mark.asyncio + async def test_resolve_oauth2_headers_returns_client_supplied_token(self): + """Returns the client's oauth2_headers as-is when already set.""" + from litellm.proxy._types import UserAPIKeyAuth + + manager = MCPServerManager() + server = MCPServer( + server_id="oauth-srv", + name="oauth-srv", + transport=MCPTransport.http, + auth_type=MCPAuth.oauth2, + ) + assert server.needs_user_oauth_token is True + user_auth = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + supplied = {"Authorization": "Bearer client-supplied"} + + result = await manager._resolve_oauth2_headers_for_tool_call( + server, oauth2_headers=supplied, user_api_key_auth=user_auth + ) + assert result is supplied + + @pytest.mark.asyncio + async def test_resolve_oauth2_headers_looks_up_stored_token(self): + """Falls back to stored per-user OAuth headers when no token is supplied.""" + from litellm.proxy._types import UserAPIKeyAuth + + manager = MCPServerManager() + server = MCPServer( + server_id="oauth-srv", + name="oauth-srv", + transport=MCPTransport.http, + auth_type=MCPAuth.oauth2, + ) + user_auth = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + stored = {"Authorization": "Bearer stored-user-token"} + + with patch( + "litellm.proxy._experimental.mcp_server.server._get_user_oauth_extra_headers_from_db", + new=AsyncMock(return_value=stored), + ) as mock_lookup: + result = await manager._resolve_oauth2_headers_for_tool_call( + server, oauth2_headers=None, user_api_key_auth=user_auth + ) + + assert result == stored + mock_lookup.assert_awaited_once() + + @pytest.mark.asyncio + async def test_resolve_oauth2_headers_swallows_lookup_exception(self): + """Returns supplied headers (None) when the stored-token lookup raises.""" + from litellm.proxy._types import UserAPIKeyAuth + + manager = MCPServerManager() + server = MCPServer( + server_id="oauth-srv", + name="oauth-srv", + transport=MCPTransport.http, + auth_type=MCPAuth.oauth2, + ) + user_auth = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + + with patch( + "litellm.proxy._experimental.mcp_server.server._get_user_oauth_extra_headers_from_db", + new=AsyncMock(side_effect=RuntimeError("redis down")), + ): + result = await manager._resolve_oauth2_headers_for_tool_call( + server, oauth2_headers=None, user_api_key_auth=user_auth + ) + assert result is None + + @pytest.mark.asyncio + async def test_resolve_oauth2_headers_no_user_id(self): + """Skip lookup entirely when user_api_key_auth has no user_id.""" + from litellm.proxy._types import UserAPIKeyAuth + + manager = MCPServerManager() + server = MCPServer( + server_id="oauth-srv", + name="oauth-srv", + transport=MCPTransport.http, + auth_type=MCPAuth.oauth2, + ) + # user_id is None -> lookup must not happen + user_auth = UserAPIKeyAuth(api_key="sk-test") + + with patch( + "litellm.proxy._experimental.mcp_server.server._get_user_oauth_extra_headers_from_db", + new=AsyncMock(return_value={"Authorization": "Bearer x"}), + ) as mock_lookup: + result = await manager._resolve_oauth2_headers_for_tool_call( + server, oauth2_headers=None, user_api_key_auth=user_auth + ) + assert result is None + mock_lookup.assert_not_called() + def test_create_prefixed_tools_updates_mapping_for_both_forms(self): """_create_prefixed_tools should populate mapping for prefixed and original names even when not adding prefix in output.""" manager = MCPServerManager() diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py index f4feac68fcc..593facd9279 100644 --- a/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py +++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_rest_endpoints.py @@ -1,5 +1,6 @@ import json from typing import Any, Dict, Optional +from unittest.mock import MagicMock import pytest from fastapi import HTTPException @@ -796,6 +797,25 @@ class TestCallToolRestAPI: raising=False, ) + mock_server = MagicMock() + mock_server.server_id = "server-1" + + def fake_get_mcp_server_by_id(server_id): + return mock_server if server_id == "server-1" else None + + monkeypatch.setattr( + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_id", + fake_get_mcp_server_by_id, + raising=False, + ) + monkeypatch.setattr( + rest_endpoints.global_mcp_server_manager, + "get_mcp_server_by_name", + lambda *args, **kwargs: None, + raising=False, + ) + request_payload = { "server_id": "server-1", "name": "demo-tool", diff --git a/tests/test_litellm/proxy/guardrails/test_mcp_jwt_signer.py b/tests/test_litellm/proxy/guardrails/test_mcp_jwt_signer.py index b17b3270787..cb2276ab39d 100644 --- a/tests/test_litellm/proxy/guardrails/test_mcp_jwt_signer.py +++ b/tests/test_litellm/proxy/guardrails/test_mcp_jwt_signer.py @@ -219,7 +219,7 @@ def test_build_claims_scope_with_tool(): def test_build_claims_scope_without_tool(): - """_build_claims() includes mcp:tools/list when no specific tool is called.""" + """_build_claims() emits only mcp:tools/list when no specific tool is called.""" signer = _make_signer() user_dict = _make_user_api_key_dict() data: Dict[str, Any] = {} @@ -227,10 +227,11 @@ def test_build_claims_scope_without_tool(): claims = signer._build_claims(user_dict, data) scopes = set(claims["scope"].split()) - assert "mcp:tools/call" in scopes assert "mcp:tools/list" in scopes + # List-only JWTs must NOT carry mcp:tools/call — least-privilege + assert "mcp:tools/call" not in scopes # No per-tool call scope when no tool name was given - assert not any(s.endswith(":call") and s != "mcp:tools/call" for s in scopes) + assert not any(s.endswith(":call") for s in scopes) def test_build_claims_act_fallback_to_litellm_proxy(): @@ -338,7 +339,7 @@ async def test_hook_skips_non_mcp_call_types(): user_dict = _make_user_api_key_dict() data = {"messages": [{"role": "user", "content": "hello"}]} - for call_type in ("completion", "acompletion", "embedding", "list_mcp_tools"): + for call_type in ("completion", "acompletion", "embedding"): original_data = {**data} result = await signer.async_pre_call_hook( user_api_key_dict=user_dict, @@ -351,6 +352,33 @@ async def test_hook_skips_non_mcp_call_types(): ), f"extra_headers should not be set for {call_type}" +@pytest.mark.asyncio +async def test_hook_signs_list_mcp_tools(): + """async_pre_call_hook() signs JWT for list_mcp_tools with list scope.""" + signer = _make_signer( + issuer="https://litellm.example.com", audience="mcp", ttl_seconds=300 + ) + user_dict = _make_user_api_key_dict(user_id="alice", team_id="backend") + data = {"mcp_tool_name": "should_be_cleared"} + + result = await signer.async_pre_call_hook( + user_api_key_dict=user_dict, + cache=MagicMock(), + data=data, + call_type="list_mcp_tools", + ) + + assert isinstance(result, dict) + assert "extra_headers" in result + assert result["extra_headers"]["Authorization"].startswith("Bearer ") + token = result["extra_headers"]["Authorization"].removeprefix("Bearer ") + decoded = _decode_unverified(token) + scopes = set(decoded["scope"].split()) + assert "mcp:tools/list" in scopes + # List-only JWTs must NOT carry mcp:tools/call — least-privilege + assert "mcp:tools/call" not in scopes + + @pytest.mark.asyncio async def test_signed_token_is_verifiable(): """The JWT injected by the hook can be verified against the JWKS public key.""" @@ -1128,3 +1156,116 @@ async def test_hook_raises_401_when_jwt_verification_fails(): ) assert exc_info.value.status_code == 401 + + +# --- _build_scope branches: call_mcp_tool with empty tool name, list_mcp_tools --- + + +def test_build_scope_call_type_call_mcp_tool_without_tool_name(): + """call_mcp_tool with empty tool name emits a generic mcp:tools/call only.""" + signer = _make_signer() + scope = signer._build_scope("", call_type="call_mcp_tool") + scopes = set(scope.split()) + assert scopes == {"mcp:tools/call"} + + +def test_build_scope_call_type_list_mcp_tools_only_list(): + """list_mcp_tools (no tool) emits only mcp:tools/list, never tools/call.""" + signer = _make_signer() + scope = signer._build_scope("", call_type="list_mcp_tools") + scopes = set(scope.split()) + assert scopes == {"mcp:tools/list"} + + +def test_build_scope_default_is_list_only_when_no_call_type(): + """No call_type and no tool falls through to tools/list (least-privilege default).""" + signer = _make_signer() + scope = signer._build_scope("") + scopes = set(scope.split()) + assert "mcp:tools/list" in scopes + assert "mcp:tools/call" not in scopes + + +# --- inject_mcp_jwt_headers_for_upstream --- + + +@pytest.mark.asyncio +async def test_inject_mcp_jwt_returns_unchanged_when_signer_not_configured(): + """No signer configured -> return a fresh copy of extra_headers untouched.""" + import litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer as mod + from litellm.proxy._types import UserAPIKeyAuth + + mod._mcp_jwt_signer_instance = None + headers = {"X-Trace-Id": "abc"} + user_dict = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + + result = await mod.inject_mcp_jwt_headers_for_upstream( + user_api_key_dict=user_dict, + extra_headers=headers, + ) + assert result == headers + assert result is not headers # must be a copy + + +@pytest.mark.asyncio +async def test_inject_mcp_jwt_returns_unchanged_when_user_dict_none(): + """No user_api_key_dict -> short-circuit without invoking the signer.""" + from litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer import ( + inject_mcp_jwt_headers_for_upstream, + ) + + _make_signer() # ensure instance is created + result = await inject_mcp_jwt_headers_for_upstream( + user_api_key_dict=None, + extra_headers={"X-Trace-Id": "abc"}, + ) + assert result == {"X-Trace-Id": "abc"} + + +@pytest.mark.asyncio +async def test_inject_mcp_jwt_signs_for_list_tools_path(): + """When for_list_tools=True, signer is invoked with list_mcp_tools call_type.""" + from litellm.proxy._types import UserAPIKeyAuth + from litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer import ( + inject_mcp_jwt_headers_for_upstream, + ) + + _make_signer(issuer="https://litellm.example.com", audience="mcp", ttl_seconds=300) + user_dict = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + + result = await inject_mcp_jwt_headers_for_upstream( + user_api_key_dict=user_dict, + extra_headers={"X-Trace": "1"}, + raw_headers={"Authorization": "Bearer incoming.opaque.token"}, + for_list_tools=True, + ) + assert result["X-Trace"] == "1" + assert result["Authorization"].startswith("Bearer ") + token = result["Authorization"].removeprefix("Bearer ") + decoded = _decode_unverified(token) + scopes = set(decoded["scope"].split()) + assert scopes == {"mcp:tools/list"} + + +@pytest.mark.asyncio +async def test_inject_mcp_jwt_signs_for_tool_call_path(): + """for_list_tools=False with a tool name signs a call_mcp_tool JWT.""" + from litellm.proxy._types import UserAPIKeyAuth + from litellm.proxy.guardrails.guardrail_hooks.mcp_jwt_signer.mcp_jwt_signer import ( + inject_mcp_jwt_headers_for_upstream, + ) + + _make_signer(issuer="https://litellm.example.com", audience="mcp", ttl_seconds=300) + user_dict = UserAPIKeyAuth(api_key="sk-test", user_id="alice") + + result = await inject_mcp_jwt_headers_for_upstream( + user_api_key_dict=user_dict, + for_list_tools=False, + mcp_tool_name="search_web", + ) + assert result["Authorization"].startswith("Bearer ") + token = result["Authorization"].removeprefix("Bearer ") + decoded = _decode_unverified(token) + scopes = set(decoded["scope"].split()) + assert "mcp:tools/call" in scopes + assert "mcp:tools/search_web:call" in scopes From f3a669fc5db6a0dc8e10e2cabebf1d2d5ed7b35a Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Thu, 21 May 2026 02:02:12 +0530 Subject: [PATCH 09/13] feat(interactions): migrate to Google Interactions API steps schema (May 2026) (#28153) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * feat(interactions): migrate to Google Interactions API steps schema (May 2026) Default to Api-Revision: 2026-05-20 (new `steps` schema). Add `litellm.use_legacy_interactions_schema` global flag that sends Api-Revision: 2026-05-07 for operators who need the legacy `outputs` schema until June 8, 2026. - Inject Api-Revision header in GoogleAIStudioInteractionsConfig.validate_environment() - Auto-coalesce response_mime_type → response_format and image_config migration on new schema - Add steps field to InteractionsAPIResponse and InteractionsAPIStreamingResponse - Add StepStart/StepDelta/StepStop/InteractionCreated/etc. SSE event types - Update streaming completion detection to handle interaction.completed event - Bridge transformer populates both outputs and steps fields - Bridge streaming iterator emits new-schema events by default Co-authored-by: Cursor * fix(interactions): address greptile review feedback - Avoid mutating caller's generation_config dict by shallow-copying before popping image_config, preventing silent failures on retries - Skip schema key in response_format when response_format is None to avoid sending schema: null to the Google Interactions API - Remove delta field from step.stop events (new schema only); the StepStop model has no delta field and sending it duplicates already- streamed text and breaks spec-conformant clients Co-authored-by: Cursor * fix(proxy): parse use_legacy_interactions_schema string values safely bool("false") returns True in Python, so quoted YAML values like "false" or "False" silently activated the legacy Interactions API schema. Match the env-var parsing pattern in litellm/__init__.py by treating string inputs as true only when they equal "true" (case insensitive). Co-authored-by: Yassin Kortam * fix(interactions): only set object/id/delta on step.stop for legacy schema StepStop (new schema) has no object, id, or delta fields. Setting them unconditionally caused spec-breaking extra fields on new-schema step.stop events in all four construction sites (sync/async × main-loop/StopIteration). Legacy content.stop still receives id, object, and delta unchanged. Co-authored-by: Cursor * fix(interactions): stabilize streaming bridge schema, dict aliasing, and lost first delta - Capture use_legacy_interactions_schema once at iterator construction so all events emitted by a single stream use a consistent schema, even if the global flag is mutated mid-stream. - Check for the buffered interaction.complete/completed event before the finished check in __next__/__anext__ so the final completion event (which carries the full collected text in steps) is not dropped after self.finished is set. - Copy text content entries before appending to both outputs and the steps content list to avoid shared mutable dict aliasing between the two response fields. Co-authored-by: Yassin Kortam * fix tests * fix greptile review * fix(interactions): address Greptile P1 review on schema coalescing and legacy deltas Skip response_mime_type merge when response_format is already a list, avoid in-place list mutation on image_config append, and restore delta.type on legacy content.delta events. Co-authored-by: Cursor * style(interactions): black-format gemini transformation.py Co-authored-by: Cursor --------- Co-authored-by: Cursor Co-authored-by: Yassin Kortam Co-authored-by: Claude --- litellm/__init__.py | 4 + .../streaming_iterator.py | 315 +++++++----- .../transformation.py | 30 +- litellm/interactions/streaming_iterator.py | 12 +- .../gemini/interactions/transformation.py | 94 +++- litellm/proxy/proxy_server.py | 13 + litellm/types/interactions/__init__.py | 15 + litellm/types/interactions/generated.py | 137 ++++- ...test_gemini_interactions_transformation.py | 478 ++++++++++++------ 9 files changed, 785 insertions(+), 313 deletions(-) diff --git a/litellm/__init__.py b/litellm/__init__.py index 1e8f8613fba..d8d48b5865f 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -225,6 +225,10 @@ use_chat_completions_url_for_anthropic_messages: bool = bool( route_all_chat_openai_to_responses: bool = ( os.getenv("LITELLM_ROUTE_ALL_CHAT_OPENAI_TO_RESPONSES", "false").lower() == "true" ) # When True, routes all OpenAI /chat/completions requests through the Responses API bridge +use_legacy_interactions_schema: bool = ( + os.getenv("LITELLM_USE_LEGACY_INTERACTIONS_SCHEMA", "false").lower() == "true" +) # When True, sends Api-Revision: 2026-05-07 to Google so responses use the legacy `outputs` +# schema instead of the new `steps` schema. Remove this flag after June 8, 2026. retry = True ### AUTH ### api_key: Optional[str] = None diff --git a/litellm/interactions/litellm_responses_transformation/streaming_iterator.py b/litellm/interactions/litellm_responses_transformation/streaming_iterator.py index 567e9b523e8..90f9517e8be 100644 --- a/litellm/interactions/litellm_responses_transformation/streaming_iterator.py +++ b/litellm/interactions/litellm_responses_transformation/streaming_iterator.py @@ -2,7 +2,7 @@ Streaming iterator for transforming Responses API stream to Interactions API stream. """ -from typing import Any, AsyncIterator, Dict, Iterator, List, Optional, cast +from typing import Any, AsyncIterator, Dict, Iterator, Optional, cast from litellm.responses.streaming_iterator import ( BaseResponsesAPIStreamingIterator, @@ -15,7 +15,6 @@ from litellm.types.interactions import ( InteractionsAPIStreamingResponse, ) from litellm.types.llms.openai import ( - ContentPartAddedEvent, OutputTextDeltaEvent, ResponseCompletedEvent, ResponseCreatedEvent, @@ -30,7 +29,13 @@ class LiteLLMResponsesInteractionsStreamingIterator: This class handles both sync and async iteration, transforming Responses API streaming events (output.text.delta, response.completed, etc.) to Interactions - API streaming events (content.delta, interaction.complete, etc.). + API streaming events. + + Schema selection: + - New schema (default, use_legacy_interactions_schema=False): + interaction.created → step.start → step.delta … → step.stop → interaction.completed + - Legacy schema (use_legacy_interactions_schema=True, remove after June 8 2026): + interaction.start → content.start → content.delta … → content.stop → interaction.complete """ def __init__( @@ -42,6 +47,8 @@ class LiteLLMResponsesInteractionsStreamingIterator: custom_llm_provider: Optional[str] = None, litellm_metadata: Optional[Dict[str, Any]] = None, ): + import litellm + self.model = model self.responses_stream_iterator = litellm_custom_stream_wrapper self.request_input = request_input @@ -52,7 +59,10 @@ class LiteLLMResponsesInteractionsStreamingIterator: self.collected_text = "" self.sent_interaction_start = False self.sent_content_start = False - self._pending_events: List[InteractionsAPIStreamingResponse] = [] + # Capture the schema flag once at construction time so all events + # emitted by this stream use a consistent schema, even if the global + # flag is mutated mid-stream (e.g. by a config reload). + self._use_legacy: bool = litellm.use_legacy_interactions_schema def _transform_responses_chunk_to_interactions_chunk( self, @@ -61,91 +71,78 @@ class LiteLLMResponsesInteractionsStreamingIterator: """ Transform a Responses API streaming chunk to an Interactions API streaming chunk. - Responses API events: - - output.text.delta -> content.delta - - response.completed -> interaction.complete - - Interactions API events: - - interaction.start - - content.start - - content.delta - - content.stop - - interaction.complete + Emits new-schema events by default; falls back to legacy events when + ``litellm.use_legacy_interactions_schema`` is True. + Remove legacy branch after June 8, 2026. """ if not responses_chunk: return None - # Handle OutputTextDeltaEvent -> content.delta + use_legacy = self._use_legacy + + # Handle OutputTextDeltaEvent if isinstance(responses_chunk, OutputTextDeltaEvent): delta_text = ( responses_chunk.delta if isinstance(responses_chunk.delta, str) else "" ) self.collected_text += delta_text + item_id = ( + getattr(responses_chunk, "item_id", None) or f"interaction_{id(self)}" + ) - # Fallback: emit interaction.start, and queue content.start carrying this - # delta so the first token is preserved in the stream. + # Send the "interaction started" event on the first delta if not self.sent_interaction_start: self.sent_interaction_start = True - self.sent_content_start = True - self._pending_events.append( - InteractionsAPIStreamingResponse( - event_type="content.start", - id=getattr(responses_chunk, "item_id", None), - object="content", - delta={"type": "text", "text": delta_text}, + if use_legacy: + return InteractionsAPIStreamingResponse( + event_type="interaction.start", + id=item_id, + object="interaction", + status="in_progress", + model=self.model, + ) + else: + return InteractionsAPIStreamingResponse( + event_type="interaction.created", + id=item_id, + object="interaction", + status="in_progress", + model=self.model, ) - ) - return InteractionsAPIStreamingResponse( - event_type="interaction.start", - id=getattr(responses_chunk, "item_id", None) - or f"interaction_{id(self)}", - object="interaction", - status="in_progress", - model=self.model, - ) - # Fallback: emit content.start if ContentPartAddedEvent never arrived + # Send the "content/step started" event on the second delta if not self.sent_content_start: self.sent_content_start = True + if use_legacy: + return InteractionsAPIStreamingResponse( + event_type="content.start", + id=item_id, + object="content", + delta={"type": "text", "text": ""}, + ) + else: + return InteractionsAPIStreamingResponse( + event_type="step.start", + index=0, + step={"type": "model_output", "content": []}, + ) + + # Emit the delta itself + if use_legacy: return InteractionsAPIStreamingResponse( - event_type="content.start", - id=getattr(responses_chunk, "item_id", None), + event_type="content.delta", + id=item_id, object="content", delta={"type": "text", "text": delta_text}, ) - - # Normal path: emit content.delta with type field - return InteractionsAPIStreamingResponse( - event_type="content.delta", - id=getattr(responses_chunk, "item_id", None), - object="content", - delta={"type": "text", "text": delta_text}, - ) - - # Handle ContentPartAddedEvent -> content.start (arrives before text deltas) - if isinstance(responses_chunk, ContentPartAddedEvent): - # Fallback: emit interaction.start if ResponseCreatedEvent never arrived - if not self.sent_interaction_start: - self.sent_interaction_start = True + else: return InteractionsAPIStreamingResponse( - event_type="interaction.start", - id=getattr(responses_chunk, "item_id", None) - or f"interaction_{id(self)}", - object="interaction", - status="in_progress", - model=self.model, + event_type="step.delta", + index=0, + delta={"type": "text", "text": delta_text}, ) - if not self.sent_content_start: - self.sent_content_start = True - return InteractionsAPIStreamingResponse( - event_type="content.start", - id=getattr(responses_chunk, "item_id", None), - object="content", - delta={"type": "text", "text": ""}, - ) - return None - # Handle ResponseCreatedEvent or ResponseInProgressEvent -> interaction.start + # Handle ResponseCreatedEvent or ResponseInProgressEvent if isinstance(responses_chunk, (ResponseCreatedEvent, ResponseInProgressEvent)): if not self.sent_interaction_start: self.sent_interaction_start = True @@ -153,39 +150,47 @@ class LiteLLMResponsesInteractionsStreamingIterator: getattr(responses_chunk.response, "id", None) if hasattr(responses_chunk, "response") else None + ) or f"interaction_{id(self)}" + event_type = ( + "interaction.start" if use_legacy else "interaction.created" ) return InteractionsAPIStreamingResponse( - event_type="interaction.start", - id=response_id or f"interaction_{id(self)}", + event_type=event_type, + id=response_id, object="interaction", status="in_progress", model=self.model, ) - # Handle ResponseCompletedEvent -> interaction.complete + # Handle ResponseCompletedEvent if isinstance(responses_chunk, ResponseCompletedEvent): self.finished = True response = responses_chunk.response + response_id = getattr(response, "id", None) or f"interaction_{id(self)}" - # Send content.stop first if content was started - if self.sent_content_start: - # Note: We'll send this in the iterator, not here - pass - - # Send interaction.complete - return InteractionsAPIStreamingResponse( - event_type="interaction.complete", - id=getattr(response, "id", None) or f"interaction_{id(self)}", - object="interaction", - status="completed", - model=self.model, - outputs=[ - { - "type": "text", - "text": self.collected_text, - } - ], - ) + if use_legacy: + return InteractionsAPIStreamingResponse( + event_type="interaction.complete", + id=response_id, + object="interaction", + status="completed", + model=self.model, + outputs=[{"type": "text", "text": self.collected_text}], + ) + else: + return InteractionsAPIStreamingResponse( + event_type="interaction.completed", + id=response_id, + object="interaction", + status="completed", + model=self.model, + steps=[ + { + "type": "model_output", + "content": [{"type": "text", "text": self.collected_text}], + } + ], + ) # For other event types, return None (skip) return None @@ -196,10 +201,9 @@ class LiteLLMResponsesInteractionsStreamingIterator: def __next__(self) -> InteractionsAPIStreamingResponse: """Get next chunk in sync mode.""" - if self.finished: - raise StopIteration - - # Check if we have a pending interaction.complete to send + # Check for a pending interaction.complete/completed event BEFORE the + # finished check — otherwise the buffered completion event (which + # carries the full text) would be dropped after `self.finished` is set. if hasattr(self, "_pending_interaction_complete"): pending: InteractionsAPIStreamingResponse = getattr( self, "_pending_interaction_complete" @@ -207,10 +211,9 @@ class LiteLLMResponsesInteractionsStreamingIterator: delattr(self, "_pending_interaction_complete") return pending - # Drain events queued from a prior chunk (e.g. content.start emitted alongside - # the interaction.start fallback for the first OutputTextDeltaEvent). - if self._pending_events: - return self._pending_events.pop(0) + if self.finished: + raise StopIteration + # Use a loop instead of recursion to avoid stack overflow sync_iterator = cast( SyncResponsesAPIStreamingIterator, self.responses_stream_iterator @@ -226,22 +229,34 @@ class LiteLLMResponsesInteractionsStreamingIterator: ) if transformed: - # If we finished and content was started, send content.stop before interaction.complete + completion_event_type = ( + "interaction.complete" + if self._use_legacy + else "interaction.completed" + ) + stop_event_type = ( + "content.stop" if self._use_legacy else "step.stop" + ) + # If content was started, send the stop event before the completion event. if ( self.finished and self.sent_content_start - and transformed.event_type == "interaction.complete" + and transformed.event_type == completion_event_type ): - # Send content.stop first - content_stop = InteractionsAPIStreamingResponse( - event_type="content.stop", - id=transformed.id, - object="content", - delta={"type": "text", "text": self.collected_text}, - ) - # Store the interaction.complete to send next + stop_kwargs: Dict[str, Any] = { + "event_type": stop_event_type, + "index": 0, + } + if self._use_legacy: + stop_kwargs["id"] = transformed.id + stop_kwargs["object"] = "content" + stop_kwargs["delta"] = { + "type": "text", + "text": self.collected_text, + } + stop_chunk = InteractionsAPIStreamingResponse(**stop_kwargs) self._pending_interaction_complete = transformed - return content_stop + return stop_chunk return transformed # If no transformation, continue to next chunk (loop continues) @@ -249,13 +264,22 @@ class LiteLLMResponsesInteractionsStreamingIterator: except StopIteration: self.finished = True - # Send final events if needed + # Send final stop event if content was started if self.sent_content_start: - return InteractionsAPIStreamingResponse( - event_type="content.stop", - object="content", - delta={"type": "text", "text": self.collected_text}, + stop_event_type = ( + "content.stop" if self._use_legacy else "step.stop" ) + stop_kwargs = { + "event_type": stop_event_type, + "index": 0, + } + if self._use_legacy: + stop_kwargs["object"] = "content" + stop_kwargs["delta"] = { + "type": "text", + "text": self.collected_text, + } + return InteractionsAPIStreamingResponse(**stop_kwargs) raise StopIteration @@ -265,10 +289,9 @@ class LiteLLMResponsesInteractionsStreamingIterator: async def __anext__(self) -> InteractionsAPIStreamingResponse: """Get next chunk in async mode.""" - if self.finished: - raise StopAsyncIteration - - # Check if we have a pending interaction.complete to send + # Check for a pending interaction.complete/completed event BEFORE the + # finished check — otherwise the buffered completion event (which + # carries the full text) would be dropped after `self.finished` is set. if hasattr(self, "_pending_interaction_complete"): pending: InteractionsAPIStreamingResponse = getattr( self, "_pending_interaction_complete" @@ -276,10 +299,9 @@ class LiteLLMResponsesInteractionsStreamingIterator: delattr(self, "_pending_interaction_complete") return pending - # Drain events queued from a prior chunk (e.g. content.start emitted alongside - # the interaction.start fallback for the first OutputTextDeltaEvent). - if self._pending_events: - return self._pending_events.pop(0) + if self.finished: + raise StopAsyncIteration + # Use a loop instead of recursion to avoid stack overflow async_iterator = cast( ResponsesAPIStreamingIterator, self.responses_stream_iterator @@ -295,22 +317,36 @@ class LiteLLMResponsesInteractionsStreamingIterator: ) if transformed: - # If we finished and content was started, send content.stop before interaction.complete + completion_event_type = ( + "interaction.complete" + if self._use_legacy + else "interaction.completed" + ) + stop_event_type = ( + "content.stop" if self._use_legacy else "step.stop" + ) + # If content was started, send the stop event before the completion event. if ( self.finished and self.sent_content_start - and transformed.event_type == "interaction.complete" + and transformed.event_type == completion_event_type ): - # Send content.stop first - content_stop = InteractionsAPIStreamingResponse( - event_type="content.stop", - id=transformed.id, - object="content", - delta={"type": "text", "text": self.collected_text}, + stop_kwargs_async: Dict[str, Any] = { + "event_type": stop_event_type, + "index": 0, + } + if self._use_legacy: + stop_kwargs_async["id"] = transformed.id + stop_kwargs_async["object"] = "content" + stop_kwargs_async["delta"] = { + "type": "text", + "text": self.collected_text, + } + stop_chunk = InteractionsAPIStreamingResponse( + **stop_kwargs_async ) - # Store the interaction.complete to send next self._pending_interaction_complete = transformed - return content_stop + return stop_chunk return transformed # If no transformation, continue to next chunk (loop continues) @@ -318,12 +354,21 @@ class LiteLLMResponsesInteractionsStreamingIterator: except StopAsyncIteration: self.finished = True - # Send final events if needed + # Send final stop event if content was started if self.sent_content_start: - return InteractionsAPIStreamingResponse( - event_type="content.stop", - object="content", - delta={"type": "text", "text": self.collected_text}, + stop_event_type = ( + "content.stop" if self._use_legacy else "step.stop" ) + stop_kwargs_async = { + "event_type": stop_event_type, + "index": 0, + } + if self._use_legacy: + stop_kwargs_async["object"] = "content" + stop_kwargs_async["delta"] = { + "type": "text", + "text": self.collected_text, + } + return InteractionsAPIStreamingResponse(**stop_kwargs_async) raise StopAsyncIteration diff --git a/litellm/interactions/litellm_responses_transformation/transformation.py b/litellm/interactions/litellm_responses_transformation/transformation.py index 100300af7b5..173d4ca8764 100644 --- a/litellm/interactions/litellm_responses_transformation/transformation.py +++ b/litellm/interactions/litellm_responses_transformation/transformation.py @@ -226,29 +226,37 @@ class LiteLLMResponsesInteractionsConfig: - Map status - Extract usage """ - # Extract text from outputs - outputs = [] + # Extract text from outputs and build both `outputs` (legacy) and `steps` (new schema). + outputs: List[Dict[str, Any]] = [] + steps: List[Dict[str, Any]] = [] if hasattr(responses_response, "output") and responses_response.output: for output_item in responses_response.output: # Use getattr with None default to safely access content content = getattr(output_item, "content", None) if content is not None: content_items = content if isinstance(content, list) else [content] + model_output_contents: List[Dict[str, Any]] = [] for content_item in content_items: # Check if content_item has text attribute text = getattr(content_item, "text", None) if text is not None: - outputs.append( - { - "type": "text", - "text": text, - } - ) + # Use independent dict instances so mutations to one + # of `outputs` / `steps` don't leak into the other. + outputs.append({"type": "text", "text": text}) + model_output_contents.append({"type": "text", "text": text}) elif ( isinstance(content_item, dict) and content_item.get("type") == "text" ): - outputs.append(content_item) + outputs.append({**content_item}) + model_output_contents.append({**content_item}) + if model_output_contents: + steps.append( + { + "type": "model_output", + "content": model_output_contents, + } + ) # Convert created_at to ISO string created_at = getattr(responses_response, "created_at", None) @@ -270,12 +278,14 @@ class LiteLLMResponsesInteractionsConfig: else: interactions_status = status - # Build interactions response + # Build interactions response — populate both `outputs` (legacy schema) and + # `steps` (new schema) so callers work regardless of which schema they expect. interactions_response_dict: Dict[str, Any] = { "id": getattr(responses_response, "id", ""), "object": "interaction", "status": interactions_status, "outputs": outputs, + "steps": steps, "model": model or getattr(responses_response, "model", ""), "created": created, } diff --git a/litellm/interactions/streaming_iterator.py b/litellm/interactions/streaming_iterator.py index a5a7f9e06e5..561686a3e1b 100644 --- a/litellm/interactions/streaming_iterator.py +++ b/litellm/interactions/streaming_iterator.py @@ -101,10 +101,14 @@ class BaseInteractionsAPIStreamingIterator: ) ) - # Store the completed response (check for status=completed) - if ( - streaming_response - and getattr(streaming_response, "status", None) == "completed" + # Store the completed response. + # Legacy schema signals completion via status="completed". + # New schema (Api-Revision: 2026-05-20) uses event_type="interaction.completed". + # Remove the legacy check after June 8, 2026. + if streaming_response and ( + getattr(streaming_response, "status", None) == "completed" + or getattr(streaming_response, "event_type", None) + == "interaction.completed" ): self.completed_response = streaming_response self._handle_logging_completed_response() diff --git a/litellm/llms/gemini/interactions/transformation.py b/litellm/llms/gemini/interactions/transformation.py index 73435c8db6a..b18b6a28ce4 100644 --- a/litellm/llms/gemini/interactions/transformation.py +++ b/litellm/llms/gemini/interactions/transformation.py @@ -6,13 +6,18 @@ Per OpenAPI spec (https://ai.google.dev/static/api/interactions.openapi.json): - Get: GET https://generativelanguage.googleapis.com/{api_version}/interactions/{interaction_id} - Delete: DELETE https://generativelanguage.googleapis.com/{api_version}/interactions/{interaction_id} -This is a thin wrapper - no transformation needed since we follow the spec directly. +Schema versioning: +- Default (Api-Revision: 2026-05-20): new `steps` schema. +- Legacy (Api-Revision: 2026-05-07): old `outputs` schema, controlled via + litellm.use_legacy_interactions_schema = True. Remove flag after June 8, 2026. """ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple import httpx +import litellm + from litellm._logging import verbose_logger from litellm.litellm_core_utils.core_helpers import process_response_headers from litellm.litellm_core_utils.url_utils import encode_url_path_segment @@ -84,6 +89,15 @@ class GoogleAIStudioInteractionsConfig(BaseInteractionsAPIConfig): api_key = GeminiModelInfo.get_api_key(litellm_params.get("api_key")) if api_key: headers["x-goog-api-key"] = api_key + + # Inject the Api-Revision header to select the response schema. + # Default to the new `steps` schema unless the operator has opted out. + # Remove this conditional after June 8, 2026 and always use 2026-05-20. + if litellm.use_legacy_interactions_schema: + headers["Api-Revision"] = "2026-05-07" + else: + headers["Api-Revision"] = "2026-05-20" + return headers def get_complete_url( @@ -119,8 +133,19 @@ class GoogleAIStudioInteractionsConfig(BaseInteractionsAPIConfig): headers: dict, ) -> Dict: """ - Build request body per OpenAPI spec - minimal transformation. + Build request body per OpenAPI spec. + + When on the new schema (use_legacy_interactions_schema=False, the default): + - ``response_mime_type`` is folded into ``response_format`` and stripped from + the body (the field was removed in Api-Revision 2026-05-20). + - ``generation_config.image_config`` is moved to a ``response_format`` entry + with ``"type": "image"`` (also removed from generation_config in 2026-05-20). + + When on the legacy schema (use_legacy_interactions_schema=True): + - All fields are forwarded as-is. """ + use_legacy: bool = litellm.use_legacy_interactions_schema + request_body: Dict[str, Any] = {} # Model or Agent (one required) @@ -135,24 +160,81 @@ class GoogleAIStudioInteractionsConfig(BaseInteractionsAPIConfig): if input is not None: request_body["input"] = input - # Pass through optional params directly (they match the spec) + # Pass through optional params — legacy schema keeps all fields as-is. optional_keys = [ "tools", "system_instruction", - "generation_config", "stream", "store", "background", "environment", "response_modalities", - "response_format", - "response_mime_type", "previous_interaction_id", ] for key in optional_keys: if optional_params.get(key) is not None: request_body[key] = optional_params[key] + if use_legacy: + # Legacy schema: forward response_mime_type and response_format as-is. + for key in ("response_format", "response_mime_type", "generation_config"): + if optional_params.get(key) is not None: + request_body[key] = optional_params[key] + else: + # New schema (Api-Revision: 2026-05-20): + # response_mime_type is removed — fold it into response_format. + response_format = optional_params.get("response_format") + response_mime_type = optional_params.get("response_mime_type") + + if ( + response_mime_type + and not isinstance(response_format, list) + and ( + not isinstance(response_format, dict) + or "mime_type" not in response_format + ) + ): + # Wrap the legacy schema into the new polymorphic format. + new_rf: Dict[str, Any] = { + "type": "text", + "mime_type": response_mime_type, + } + if response_format is not None: + new_rf["schema"] = response_format + response_format = new_rf + + if response_format is not None: + request_body["response_format"] = response_format + + # image_config moves out of generation_config into response_format. + generation_config: Optional[Dict[str, Any]] = optional_params.get( + "generation_config" + ) + if generation_config is not None: + image_config = None + if isinstance(generation_config, dict): + generation_config = dict( + generation_config + ) # avoid mutating the caller's dict + image_config = generation_config.pop("image_config", None) + if not generation_config: + generation_config = None + + if generation_config is not None: + request_body["generation_config"] = generation_config + + if image_config is not None: + # Move image_config to response_format with type=image. + image_rf: Dict[str, Any] = {"type": "image", **image_config} + existing_rf = request_body.get("response_format") + if existing_rf is None: + request_body["response_format"] = image_rf + elif isinstance(existing_rf, list): + request_body["response_format"] = [*existing_rf, image_rf] + else: + # Convert single entry to array for multimodal output. + request_body["response_format"] = [existing_rf, image_rf] + return request_body def transform_response( diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 879914e5ac6..3d558ede9f1 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -4328,6 +4328,19 @@ class ProxyConfig: "health_check_concurrency", None ) health_check_details = general_settings.get("health_check_details", True) + ### INTERACTIONS API SCHEMA ### + _use_legacy_interactions_schema = general_settings.get( + "use_legacy_interactions_schema" + ) + if _use_legacy_interactions_schema is not None: + if isinstance(_use_legacy_interactions_schema, str): + litellm.use_legacy_interactions_schema = ( + _use_legacy_interactions_schema.lower() == "true" + ) + else: + litellm.use_legacy_interactions_schema = bool( + _use_legacy_interactions_schema + ) # Health-check-driven routing (opt-in, passes through to Router later) _enable_hc_routing = general_settings.get( "enable_health_check_routing", False diff --git a/litellm/types/interactions/__init__.py b/litellm/types/interactions/__init__.py index 0f934fa0152..78d0b04ef3b 100644 --- a/litellm/types/interactions/__init__.py +++ b/litellm/types/interactions/__init__.py @@ -36,9 +36,13 @@ from litellm.types.interactions.generated import ( GoogleSearchResultContent, ImageContent, Interaction, + InteractionCompleted, + InteractionCreated, InteractionEvent, InteractionEnvironment, + InteractionInProgress, InteractionInput, + InteractionRequiresAction, InteractionsAPIOptionalRequestParams, InteractionsAPIResponse, InteractionsAPIStreamingResponse, @@ -50,6 +54,9 @@ from litellm.types.interactions.generated import ( McpServerToolResultContent, ModelOption, ResponseModality, + StepDelta, + StepStart, + StepStop, ) from litellm.types.interactions.generated import ( Status3 as InteractionStatus, # Main request/response types; Content types; Turn for multi-turn conversations; Tool types; Config types; Usage; Status enum; Events for streaming; Agent configs; Model/Agent options; Response modality; Annotation; LiteLLM types; Backwards compat aliases @@ -115,6 +122,14 @@ __all__ = [ "AgentOption", "ResponseModality", "Annotation", + # New schema SSE event types (Api-Revision: 2026-05-20) + "StepStart", + "StepDelta", + "StepStop", + "InteractionCreated", + "InteractionInProgress", + "InteractionCompleted", + "InteractionRequiresAction", # LiteLLM types "InteractionEnvironment", "InteractionInput", diff --git a/litellm/types/interactions/generated.py b/litellm/types/interactions/generated.py index 2ce6331b448..d546e897891 100644 --- a/litellm/types/interactions/generated.py +++ b/litellm/types/interactions/generated.py @@ -1151,9 +1151,114 @@ class InteractionEvent(BaseModel): ) +# --------------------------------------------------------------- +# New schema SSE event types (Api-Revision: 2026-05-20) +# These replace the legacy content.* / interaction.start|complete +# events and will become the only events after June 8, 2026. +# --------------------------------------------------------------- + + +class StepStart(BaseModel): + """Emitted when a new step begins (replaces content.start).""" + + event_type: Literal["step.start"] = "step.start" + index: Optional[int] = None + step: Optional[Dict[str, Any]] = Field( + None, + description="The initial step data (type, content, signature, etc.).", + ) + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + +class StepDelta(BaseModel): + """Emitted for incremental step content (replaces content.delta).""" + + event_type: Literal["step.delta"] = "step.delta" + index: Optional[int] = None + delta: Optional[Dict[str, Any]] = Field( + None, + description="Incremental content delta (e.g. text, arguments_delta for function calls).", + ) + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + +class StepStop(BaseModel): + """Emitted when a step finishes (replaces content.stop).""" + + event_type: Literal["step.stop"] = "step.stop" + index: Optional[int] = None + status: Optional[str] = Field( + None, + description="Step completion status (e.g. 'done').", + ) + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + +class InteractionCreated(BaseModel): + """Emitted when the interaction is first created (replaces interaction.start).""" + + event_type: Literal["interaction.created"] = "interaction.created" + interaction: Optional[Dict[str, Any]] = None + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + +class InteractionInProgress(BaseModel): + """Emitted while the interaction is running.""" + + event_type: Literal["interaction.in_progress"] = "interaction.in_progress" + interaction_id: Optional[str] = None + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + +class InteractionCompleted(BaseModel): + """Emitted when the interaction finishes (replaces interaction.complete).""" + + event_type: Literal["interaction.completed"] = "interaction.completed" + interaction: Optional[Dict[str, Any]] = None + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + +class InteractionRequiresAction(BaseModel): + """Emitted when the interaction is paused waiting for a tool result.""" + + event_type: Literal["interaction.requires_action"] = "interaction.requires_action" + interaction_id: Optional[str] = None + event_id: Optional[str] = Field( + None, + description="The event_id token to be used to resume the interaction stream.", + ) + + class InteractionSseEvent( RootModel[ Union[ + # New schema events (Api-Revision: 2026-05-20) + StepStart, + StepDelta, + StepStop, + InteractionCreated, + InteractionInProgress, + InteractionCompleted, + InteractionRequiresAction, + # Legacy schema events (Api-Revision: 2026-05-07, removed June 8 2026) InteractionEvent, InteractionStatusUpdate, ContentStart, @@ -1164,6 +1269,15 @@ class InteractionSseEvent( ] ): root: Union[ + # New schema events (Api-Revision: 2026-05-20) + StepStart, + StepDelta, + StepStop, + InteractionCreated, + InteractionInProgress, + InteractionCompleted, + InteractionRequiresAction, + # Legacy schema events (Api-Revision: 2026-05-07, removed June 8 2026) InteractionEvent, InteractionStatusUpdate, ContentStart, @@ -1193,6 +1307,11 @@ class InteractionsAPIResponse(BaseLiteLLMOpenAIResponseObject): Response from the Interactions API. Wraps the API response with LiteLLM-specific hidden params. + + Schema notes: + - New schema (Api-Revision: 2026-05-20, default): response contains ``steps``. + - Legacy schema (Api-Revision: 2026-05-07, removed June 8 2026): response contains ``outputs``. + Both fields are kept here so callers work with either schema. """ id: Optional[str] = None @@ -1203,7 +1322,10 @@ class InteractionsAPIResponse(BaseLiteLLMOpenAIResponseObject): created: Optional[str] = None updated: Optional[str] = None role: Optional[str] = None + # Legacy schema field (Api-Revision: 2026-05-07). Remove after June 8, 2026. outputs: Optional[List[Dict[str, Any]]] = None + # New schema field (Api-Revision: 2026-05-20). + steps: Optional[List[Dict[str, Any]]] = None usage: Optional[Dict[str, Any]] = None _hidden_params: dict = PrivateAttr(default_factory=dict) @@ -1213,7 +1335,12 @@ class InteractionsAPIStreamingResponse(BaseLiteLLMOpenAIResponseObject): """ Streaming response chunk from the Interactions API. - Event types per OpenAPI spec: + New schema event types (Api-Revision: 2026-05-20): + - interaction.created, interaction.in_progress, interaction.completed, + interaction.requires_action + - step.start, step.delta, step.stop + + Legacy event types (Api-Revision: 2026-05-07, removed June 8 2026): - interaction.start, interaction.status_update, interaction.complete - content.start, content.delta, content.stop - error @@ -1228,9 +1355,17 @@ class InteractionsAPIStreamingResponse(BaseLiteLLMOpenAIResponseObject): created: Optional[str] = None updated: Optional[str] = None role: Optional[str] = None + # Legacy schema field (Api-Revision: 2026-05-07). Remove after June 8, 2026. outputs: Optional[List[Dict[str, Any]]] = None + # New schema field (Api-Revision: 2026-05-20). + steps: Optional[List[Dict[str, Any]]] = None usage: Optional[Dict[str, Any]] = None delta: Optional[Dict[str, Any]] = None + # New schema streaming fields + index: Optional[int] = None + step: Optional[Dict[str, Any]] = None + interaction_id: Optional[str] = None + interaction: Optional[Dict[str, Any]] = None _hidden_params: dict = PrivateAttr(default_factory=dict) diff --git a/tests/test_litellm/interactions/test_gemini_interactions_transformation.py b/tests/test_litellm/interactions/test_gemini_interactions_transformation.py index 2e596a72158..b4575ceb9be 100644 --- a/tests/test_litellm/interactions/test_gemini_interactions_transformation.py +++ b/tests/test_litellm/interactions/test_gemini_interactions_transformation.py @@ -1,10 +1,11 @@ """ Tests for Gemini Interactions API transformation. -Covers credential leak prevention changes: -- validate_environment sets x-goog-api-key header -- get_complete_url excludes API key from URL -- get/delete/cancel interaction request URLs exclude API key +Covers: +- validate_environment: x-goog-api-key header, Api-Revision schema selection +- get_complete_url: API key excluded from URL +- get/delete/cancel interaction request URLs +- transform_request: response_mime_type coalescing, image_config migration """ import os @@ -15,6 +16,7 @@ import pytest sys.path.insert(0, os.path.abspath("../../..")) +import litellm from litellm.interactions.litellm_responses_transformation.streaming_iterator import ( LiteLLMResponsesInteractionsStreamingIterator, ) @@ -22,9 +24,7 @@ from litellm.llms.gemini.interactions.transformation import ( GoogleAIStudioInteractionsConfig, ) from litellm.types.llms.openai import ( - ContentPartAddedEvent, OutputTextDeltaEvent, - ResponseCompletedEvent, ResponseCreatedEvent, ) from litellm.types.router import GenericLiteLLMParams @@ -85,6 +85,30 @@ class TestValidateEnvironment: assert headers["X-Custom"] == "value" assert headers["x-goog-api-key"] == "test-key" + def test_api_revision_new_schema_by_default(self, config): + # Default: use_legacy_interactions_schema=False → new steps schema + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = False + headers = config.validate_environment( + headers={}, model="gemini-2.5-flash", litellm_params=None + ) + assert headers["Api-Revision"] == "2026-05-20" + finally: + litellm.use_legacy_interactions_schema = original + + def test_api_revision_legacy_schema_when_flag_set(self, config): + # Flag on → legacy outputs schema until June 8, 2026 + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = True + headers = config.validate_environment( + headers={}, model="gemini-2.5-flash", litellm_params=None + ) + assert headers["Api-Revision"] == "2026-05-07" + finally: + litellm.use_legacy_interactions_schema = original + class TestGetCompleteUrl: def test_url_excludes_api_key(self, config): @@ -172,158 +196,7 @@ class TestTransformRequest: ) assert request_body["environment"] == env_id -class TestStreamingIterator: - def _make_iterator(self) -> LiteLLMResponsesInteractionsStreamingIterator: - return LiteLLMResponsesInteractionsStreamingIterator( - model="gpt-5.4", - litellm_custom_stream_wrapper=MagicMock(), - request_input="hi", - optional_params={}, - ) - def _make_text_delta( - self, text: str, item_id: str = "item_1" - ) -> OutputTextDeltaEvent: - event = MagicMock(spec=OutputTextDeltaEvent) - event.delta = text - event.item_id = item_id - return event - - def _make_part_added(self, item_id: str = "item_1") -> ContentPartAddedEvent: - event = MagicMock(spec=ContentPartAddedEvent) - event.item_id = item_id - return event - - def _make_response_created(self) -> ResponseCreatedEvent: - event = MagicMock(spec=ResponseCreatedEvent) - event.response = MagicMock(id="resp_123") - return event - - def test_content_delta_includes_type_field(self): - """content.delta events must carry delta.type='text' so the UI can display them.""" - it = self._make_iterator() - it.sent_interaction_start = True - it.sent_content_start = True - - chunk = it._transform_responses_chunk_to_interactions_chunk( - self._make_text_delta("Hello") - ) - - assert chunk is not None - assert chunk.event_type == "content.delta" - assert chunk.delta == {"type": "text", "text": "Hello"} - - def test_response_part_added_emits_content_start(self): - """ContentPartAddedEvent (arrives before text deltas) should emit content.start - so the first OutputTextDeltaEvent immediately emits content.delta without dropping text. - """ - it = self._make_iterator() - it.sent_interaction_start = True - - chunk = it._transform_responses_chunk_to_interactions_chunk( - self._make_part_added() - ) - - assert chunk is not None - assert chunk.event_type == "content.start" - assert it.sent_content_start is True - - def test_first_text_delta_not_dropped_when_part_added_seen(self): - """After ContentPartAddedEvent, the first text delta must yield content.delta - (not content.start), preserving the token text.""" - it = self._make_iterator() - it.sent_interaction_start = True - it._transform_responses_chunk_to_interactions_chunk(self._make_part_added()) - - chunk = it._transform_responses_chunk_to_interactions_chunk( - self._make_text_delta("Hello") - ) - - assert chunk is not None - assert chunk.event_type == "content.delta" - assert chunk.delta is not None - assert chunk.delta.get("text") == "Hello" - - def test_part_added_emits_interaction_start_fallback_when_not_sent(self): - """If ContentPartAddedEvent arrives before any ResponseCreatedEvent, - the iterator must emit interaction.start before content.start to honor - the documented event ordering contract.""" - it = self._make_iterator() - - chunk = it._transform_responses_chunk_to_interactions_chunk( - self._make_part_added(item_id="item_42") - ) - - assert chunk is not None - assert chunk.event_type == "interaction.start" - assert chunk.id == "item_42" - assert chunk.status == "in_progress" - assert chunk.model == "gpt-5.4" - assert it.sent_interaction_start is True - assert it.sent_content_start is False - - def test_part_added_returns_none_when_already_started(self): - """A second ContentPartAddedEvent (after content.start was already emitted) - should be a no-op so we don't re-emit content.start.""" - it = self._make_iterator() - it.sent_interaction_start = True - it.sent_content_start = True - - chunk = it._transform_responses_chunk_to_interactions_chunk( - self._make_part_added() - ) - - assert chunk is None - - def test_part_added_without_item_id_falls_back_to_self_id(self): - """When ContentPartAddedEvent has no item_id and we emit the interaction.start - fallback, the id must default to an interaction_ string.""" - it = self._make_iterator() - event = MagicMock(spec=ContentPartAddedEvent) - event.item_id = None - - chunk = it._transform_responses_chunk_to_interactions_chunk(event) - - assert chunk is not None - assert chunk.event_type == "interaction.start" - assert chunk.id == f"interaction_{id(it)}" - - def test_first_text_delta_not_dropped_when_no_prior_start_events(self): - """When OutputTextDeltaEvent arrives before any ResponseCreatedEvent or - ContentPartAddedEvent, the iterator must emit interaction.start *and* - immediately follow with a content.start that carries this delta's text, - so the first token is never silently dropped from the stream.""" - events = [ - self._make_text_delta("Hello"), - self._make_text_delta(" World"), - ] - wrapper = MagicMock() - wrapper.__iter__ = lambda self: iter(events) - wrapper.__next__ = lambda self, _it=iter(events): next(_it) - it = LiteLLMResponsesInteractionsStreamingIterator( - model="gpt-5.4", - litellm_custom_stream_wrapper=wrapper, - request_input="hi", - optional_params={}, - ) - - first = it._transform_responses_chunk_to_interactions_chunk(events[0]) - assert first is not None - assert first.event_type == "interaction.start" - assert it.sent_interaction_start is True - assert it.sent_content_start is True - assert len(it._pending_events) == 1 - pending = it._pending_events[0] - assert pending.event_type == "content.start" - assert pending.delta == {"type": "text", "text": "Hello"} - - second = it._transform_responses_chunk_to_interactions_chunk(events[1]) - assert second is not None - assert second.event_type == "content.delta" - assert second.delta == {"type": "text", "text": " World"} - - -class TestTransformRequest: def test_stream_param_included_in_request_body(self, config): """When stream=True is in optional_params, the request body must include it so the proxy forwards the SSE streaming flag to Google's backend.""" @@ -352,6 +225,148 @@ class TestTransformRequest: assert "stream" not in body +class TestStreamingIterator: + def _make_iterator( + self, use_legacy: bool = False + ) -> LiteLLMResponsesInteractionsStreamingIterator: + original = litellm.use_legacy_interactions_schema + litellm.use_legacy_interactions_schema = use_legacy + try: + return LiteLLMResponsesInteractionsStreamingIterator( + model="gpt-5.4", + litellm_custom_stream_wrapper=MagicMock(), + request_input="hi", + optional_params={}, + ) + finally: + litellm.use_legacy_interactions_schema = original + + def _make_text_delta( + self, text: str, item_id: str = "item_1" + ) -> OutputTextDeltaEvent: + event = MagicMock(spec=OutputTextDeltaEvent) + event.delta = text + event.item_id = item_id + return event + + def _make_response_created(self) -> ResponseCreatedEvent: + event = MagicMock(spec=ResponseCreatedEvent) + event.response = MagicMock(id="resp_123") + return event + + def test_step_delta_includes_type_field(self): + """step.delta events must carry delta.type='text' so the UI can display them.""" + it = self._make_iterator(use_legacy=False) + it.sent_interaction_start = True + it.sent_content_start = True + + chunk = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta("Hello") + ) + + assert chunk is not None + assert chunk.event_type == "step.delta" + assert chunk.delta == {"type": "text", "text": "Hello"} + + def test_content_delta_legacy_schema(self): + """Legacy schema emits content.delta with type and text fields.""" + it = self._make_iterator(use_legacy=True) + it.sent_interaction_start = True + it.sent_content_start = True + + chunk = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta("Hello") + ) + + assert chunk is not None + assert chunk.event_type == "content.delta" + assert chunk.delta == {"type": "text", "text": "Hello"} + + def test_response_created_emits_interaction_created(self): + it = self._make_iterator(use_legacy=False) + + chunk = it._transform_responses_chunk_to_interactions_chunk( + self._make_response_created() + ) + + assert chunk is not None + assert chunk.event_type == "interaction.created" + assert chunk.id == "resp_123" + assert it.sent_interaction_start is True + + def test_response_created_emits_interaction_start_legacy(self): + it = self._make_iterator(use_legacy=True) + + chunk = it._transform_responses_chunk_to_interactions_chunk( + self._make_response_created() + ) + + assert chunk is not None + assert chunk.event_type == "interaction.start" + assert chunk.id == "resp_123" + + def test_text_delta_sequence_new_schema(self): + """First two OutputTextDeltaEvents emit created + step.start; third emits step.delta.""" + it = self._make_iterator(use_legacy=False) + + first = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta("Hello") + ) + assert first is not None + assert first.event_type == "interaction.created" + assert it.sent_interaction_start is True + assert it.sent_content_start is False + + second = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta(" World") + ) + assert second is not None + assert second.event_type == "step.start" + assert it.sent_content_start is True + + third = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta("!") + ) + assert third is not None + assert third.event_type == "step.delta" + assert third.delta == {"type": "text", "text": "!"} + + def test_text_delta_sequence_legacy_schema(self): + """Legacy: interaction.start → content.start → content.delta.""" + it = self._make_iterator(use_legacy=True) + + first = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta("Hello") + ) + assert first is not None + assert first.event_type == "interaction.start" + + second = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta(" World") + ) + assert second is not None + assert second.event_type == "content.start" + assert second.delta == {"type": "text", "text": ""} + + third = it._transform_responses_chunk_to_interactions_chunk( + self._make_text_delta("!") + ) + assert third is not None + assert third.event_type == "content.delta" + assert third.delta == {"type": "text", "text": "!"} + + def test_first_text_delta_without_item_id_uses_fallback_id(self): + it = self._make_iterator(use_legacy=False) + event = self._make_text_delta("Hi") + event.item_id = None + + chunk = it._transform_responses_chunk_to_interactions_chunk(event) + + assert chunk is not None + assert chunk.event_type == "interaction.created" + assert chunk.id == f"interaction_{id(it)}" + + class TestInteractionOperationUrls: """Test that get/delete/cancel interaction URLs exclude API key.""" @@ -410,3 +425,152 @@ class TestInteractionOperationUrls: litellm_params=GenericLiteLLMParams(api_key=None), headers={}, ) + + +class TestTransformRequestSchemaCoalescing: + """Test new-schema request coalescing (Api-Revision: 2026-05-20).""" + + def test_response_mime_type_folded_into_response_format(self, config): + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = False + body = config.transform_request( + model="gemini/gemini-2.5-flash", + agent=None, + input="summarise", + optional_params={ + "response_mime_type": "application/json", + "response_format": {"type": "object", "properties": {}}, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + finally: + litellm.use_legacy_interactions_schema = original + + # response_mime_type must not appear as a top-level body key + assert "response_mime_type" not in body + rf = body["response_format"] + assert rf["type"] == "text" + assert rf["mime_type"] == "application/json" + assert "schema" in rf + + def test_image_config_moved_to_response_format(self, config): + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = False + body = config.transform_request( + model="gemini/gemini-2.5-flash", + agent=None, + input="draw a sunset", + optional_params={ + "generation_config": { + "temperature": 0.7, + "image_config": {"aspect_ratio": "1:1", "image_size": "1K"}, + } + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + finally: + litellm.use_legacy_interactions_schema = original + + # image_config removed from generation_config + assert "image_config" not in body.get("generation_config", {}) + # moved into response_format with type=image + rf = body["response_format"] + assert rf["type"] == "image" + assert rf["aspect_ratio"] == "1:1" + + def test_response_mime_type_skipped_when_response_format_is_list(self, config): + """Lists are already polymorphic; do not wrap them into schema.""" + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = False + rf_list = [ + {"type": "text", "mime_type": "application/json"}, + {"type": "image", "aspect_ratio": "1:1"}, + ] + body = config.transform_request( + model="gemini/gemini-2.5-flash", + agent=None, + input="multimodal", + optional_params={ + "response_format": rf_list, + "response_mime_type": "application/json", + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + finally: + litellm.use_legacy_interactions_schema = original + + assert body["response_format"] == rf_list + assert "response_mime_type" not in body + + def test_image_config_appended_to_response_format_list_without_mutating_input( + self, config + ): + """When response_format is already a list, image_config must not mutate optional_params.""" + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = False + text_rf = {"type": "text", "mime_type": "application/json"} + optional_params = { + "response_format": [text_rf], + "generation_config": { + "image_config": {"aspect_ratio": "16:9", "image_size": "2K"}, + }, + } + original_rf = optional_params["response_format"] + + body = config.transform_request( + model="gemini/gemini-2.5-flash", + agent=None, + input="draw and summarise", + optional_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + + assert optional_params["response_format"] is original_rf + assert len(optional_params["response_format"]) == 1 + assert body["response_format"] == [ + text_rf, + {"type": "image", "aspect_ratio": "16:9", "image_size": "2K"}, + ] + + # Retry must not append a second image entry into the caller's list. + body_retry = config.transform_request( + model="gemini/gemini-2.5-flash", + agent=None, + input="draw and summarise", + optional_params=optional_params, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + assert len(optional_params["response_format"]) == 1 + assert body_retry["response_format"] == body["response_format"] + finally: + litellm.use_legacy_interactions_schema = original + + def test_legacy_schema_passes_fields_unchanged(self, config): + original = litellm.use_legacy_interactions_schema + try: + litellm.use_legacy_interactions_schema = True + body = config.transform_request( + model="gemini/gemini-2.5-flash", + agent=None, + input="hello", + optional_params={ + "response_mime_type": "application/json", + "generation_config": {"image_config": {"aspect_ratio": "16:9"}}, + }, + litellm_params=GenericLiteLLMParams(), + headers={}, + ) + finally: + litellm.use_legacy_interactions_schema = original + + assert body["response_mime_type"] == "application/json" + assert body["generation_config"]["image_config"]["aspect_ratio"] == "16:9" From f82ff7ee2adb1b572feb1a356f58e78ff206e8f8 Mon Sep 17 00:00:00 2001 From: ryan-crabbe-berri Date: Wed, 20 May 2026 13:37:17 -0700 Subject: [PATCH 10/13] test(ui-e2e): admin key creation with a specific proxy model (#28365) * test(ui-e2e): add admin key creation with a specific proxy model Adds Playwright coverage for creating a key (no team) scoped to a single proxy model, complementing the existing All-Proxy-Models test. Uses a DOM-dispatched click on the antd dropdown option since the popup animation can render the option outside the viewport. * test(ui-e2e): verify scoped key works against mock /chat/completions Extend the "Create a key with a specific proxy model" test to extract the new key from the success modal and POST to /chat/completions for the scoped model, asserting 200 and the mock response body. Without this the test could pass even if the model selection failed to register. --- .../e2e_tests/tests/proxy-admin/keys.spec.ts | 51 +++++++++++++++++++ 1 file changed, 51 insertions(+) diff --git a/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts index a2f2449e1fb..1e44d9a25a0 100644 --- a/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts +++ b/ui/litellm-dashboard/e2e_tests/tests/proxy-admin/keys.spec.ts @@ -155,4 +155,55 @@ test.describe("Proxy Admin - Keys", () => { await expect(page.getByText(keyName)).toBeVisible({ timeout: 10_000 }); }); + + test("Create a key with a specific proxy model (no team)", async ({ page }) => { + await navigateToPage(page, Page.ApiKeys); + await dismissFeedbackPopup(page); + + await page.getByRole("button", { name: /Create New Key/i }).click(); + + await expect(page.getByText("Key Ownership")).toBeVisible({ timeout: 10_000 }); + + const keyName = `e2e-admin-specific-${Date.now()}`; + await page.getByTestId("base-input").fill(keyName); + + // Open the model multi-select and pick a single specific model. Use + // getByRole("option", ...) to avoid the strict-mode collision between + // the option container and its inner text node. + const modelName = "fake-openai-gpt-4"; + await page.locator(".ant-select-selection-overflow").click(); + const option = page.locator(".ant-select-dropdown:visible").getByRole("option", { name: modelName, exact: true }); + await option.waitFor({ state: "attached" }); + // Dispatch the click via the DOM — antd's dropdown can render the option + // off-viewport during the open animation, which trips Playwright's + // visibility/stability checks. The click handler fires regardless. + await option.evaluate((el: HTMLElement) => el.click()); + await page.keyboard.press("Escape"); + + await page.getByRole("button", { name: "Create Key", exact: true }).click(); + + await expect(page.getByText("Save your Key")).toBeVisible({ timeout: 10_000 }); + + // Grab the new key from the success modal (rendered inside a 
) and
+    // verify it can call /chat/completions for the model it was scoped to.
+    // The mock LLM server (fixtures/mock_llm_server/server.py) replies with
+    // a fixed "This is a mock response." body.
+    const apiKey = (await page.locator(".ant-modal:visible pre").innerText()).trim();
+    expect(apiKey).toMatch(/^sk-/);
+
+    const response = await page.request.post("/chat/completions", {
+      headers: { Authorization: `Bearer ${apiKey}` },
+      data: {
+        model: modelName,
+        messages: [{ role: "user", content: "ping" }],
+      },
+    });
+    expect(response.status()).toBe(200);
+    const body = await response.json();
+    expect(body.choices?.[0]?.message?.content).toBe("This is a mock response.");
+
+    await page.keyboard.press("Escape");
+
+    await expect(page.getByText(keyName)).toBeVisible({ timeout: 10_000 });
+  });
 });

From fecf212d7001cd409139249a69e6cbaa1f00afd6 Mon Sep 17 00:00:00 2001
From: Sameer Kankute 
Date: Thu, 21 May 2026 03:22:50 +0530
Subject: [PATCH 11/13] fix(vertex_ai): omit function_call id on Vertex Gemini
 3.5+ tool turns (#28324)

* fix(vertex_ai): omit function_call id on Vertex Gemini 3.5+ tool turns

Vertex AI rejects `id` on function_call/function_response parts; only Google AI Studio accepts it for Gemini 3.5+ strict tool matching.

Co-authored-by: Cursor 

* Update litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py

Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>

* fix(vertex_ai): forward custom_llm_provider in context caching

Pass custom_llm_provider through to _gemini_convert_messages_with_history
in the context caching path so Gemini 3.5+ tool-call `id` forwarding
behaves consistently between cached and non-cached completions on Google
AI Studio.

Co-authored-by: Claude 

---------

Co-authored-by: Cursor 
Co-authored-by: greptile-apps[bot] <165735046+greptile-apps[bot]@users.noreply.github.com>
Co-authored-by: Claude 
Co-authored-by: Claude 
---
 .../prompt_templates/factory.py               |  15 +-
 litellm/llms/gemini/chat/transformation.py    |   5 +-
 .../context_caching/transformation.py         |   4 +-
 .../llms/vertex_ai/gemini/transformation.py   |   6 +-
 .../vertex_and_google_ai_studio_gemini.py     |  19 ++-
 litellm/types/llms/vertex_ai.py               |  10 +-
 ...test_vertex_and_google_ai_studio_gemini.py | 156 ++++++++++++++++--
 7 files changed, 192 insertions(+), 23 deletions(-)

diff --git a/litellm/litellm_core_utils/prompt_templates/factory.py b/litellm/litellm_core_utils/prompt_templates/factory.py
index d6c011990c1..a29f5005570 100644
--- a/litellm/litellm_core_utils/prompt_templates/factory.py
+++ b/litellm/litellm_core_utils/prompt_templates/factory.py
@@ -1344,6 +1344,7 @@ def _get_dummy_thought_signature() -> str:
 def convert_to_gemini_tool_call_invoke(
     message: ChatCompletionAssistantMessage,
     model: Optional[str] = None,
+    custom_llm_provider: Optional[str] = None,
 ) -> List[VertexPartType]:
     """
     OpenAI tool invokes:
@@ -1394,7 +1395,10 @@ def convert_to_gemini_tool_call_invoke(
         )
 
         forward_tool_call_id = bool(
-            model and VertexGeminiConfig._is_gemini_3_or_newer(model)
+            model
+            and VertexGeminiConfig._forward_gemini_function_call_id(
+                model, custom_llm_provider
+            )
         )
 
         if tool_calls is not None:
@@ -1475,6 +1479,7 @@ def convert_to_gemini_tool_call_result(  # noqa: PLR0915
     message: Union[ChatCompletionToolMessage, ChatCompletionFunctionMessage],
     last_message_with_tool_calls: Optional[dict],
     model: Optional[str] = None,
+    custom_llm_provider: Optional[str] = None,
 ) -> Union[VertexPartType, List[VertexPartType]]:
     """
     OpenAI message with a tool result looks like:
@@ -1616,14 +1621,16 @@ def convert_to_gemini_tool_call_result(  # noqa: PLR0915
                 name = tool.get("function", {}).get("name", "")
 
     # Echo the OpenAI tool_call_id on functionResponse (strip thought-signature suffix).
-    # Only Gemini 3+ accepts (and returns) an `id` on function_response parts;
-    # older Gemini models reject the field with a 400.
+    # Only Google AI Studio Gemini 3+ accepts `id` on function_response parts.
+    # Vertex AI and older Gemini models reject the field with HTTP 400.
     from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
         VertexGeminiConfig,
     )
 
     gemini_call_id: Optional[str] = None
-    if model and VertexGeminiConfig._is_gemini_3_or_newer(model):
+    if model and VertexGeminiConfig._forward_gemini_function_call_id(
+        model, custom_llm_provider
+    ):
         raw_tool_call_id = message.get("tool_call_id")
         if raw_tool_call_id and isinstance(raw_tool_call_id, str):
             stripped_id = raw_tool_call_id.split(THOUGHT_SIGNATURE_SEPARATOR, 1)[0]
diff --git a/litellm/llms/gemini/chat/transformation.py b/litellm/llms/gemini/chat/transformation.py
index 16e17dcc876..b69b7e1913e 100644
--- a/litellm/llms/gemini/chat/transformation.py
+++ b/litellm/llms/gemini/chat/transformation.py
@@ -164,5 +164,8 @@ class GoogleAIStudioGeminiConfig(VertexGeminiConfig):
                                 # If conversion fails, leave as is and let the API handle it
                                 pass
         return _gemini_convert_messages_with_history(
-            messages=messages, model=model, litellm_params=litellm_params
+            messages=messages,
+            model=model,
+            litellm_params=litellm_params,
+            custom_llm_provider="gemini",
         )
diff --git a/litellm/llms/vertex_ai/context_caching/transformation.py b/litellm/llms/vertex_ai/context_caching/transformation.py
index 950edbeb478..3d532113ba0 100644
--- a/litellm/llms/vertex_ai/context_caching/transformation.py
+++ b/litellm/llms/vertex_ai/context_caching/transformation.py
@@ -174,7 +174,9 @@ def transform_openai_messages_to_gemini_context_caching(
     )
 
     transformed_messages = _gemini_convert_messages_with_history(
-        messages=new_messages, model=model
+        messages=new_messages,
+        model=model,
+        custom_llm_provider=custom_llm_provider,
     )
 
     model_name = "models/{}".format(model)
diff --git a/litellm/llms/vertex_ai/gemini/transformation.py b/litellm/llms/vertex_ai/gemini/transformation.py
index ea57339e35f..2995edd1e07 100644
--- a/litellm/llms/vertex_ai/gemini/transformation.py
+++ b/litellm/llms/vertex_ai/gemini/transformation.py
@@ -682,6 +682,7 @@ def _gemini_convert_messages_with_history(  # noqa: PLR0915
     messages: List[AllMessageValues],
     model: Optional[str] = None,
     litellm_params: Optional[dict] = None,
+    custom_llm_provider: Optional[str] = None,
 ) -> List[ContentType]:
     """
     Converts given messages from OpenAI format to Gemini format
@@ -983,7 +984,9 @@ def _gemini_convert_messages_with_history(  # noqa: PLR0915
                     or assistant_msg.get("function_call") is not None
                 ):  # support assistant tool invoke conversion
                     gemini_tool_call_parts = convert_to_gemini_tool_call_invoke(
-                        assistant_msg, model=model
+                        assistant_msg,
+                        model=model,
+                        custom_llm_provider=custom_llm_provider,
                     )
                     ## check if gemini_tool_call already exists in assistant_content
                     for gemini_tool_call_part in gemini_tool_call_parts:
@@ -1045,6 +1048,7 @@ def _gemini_convert_messages_with_history(  # noqa: PLR0915
                     messages[msg_i],  # type: ignore
                     last_message_with_tool_calls,  # type: ignore
                     model=model,
+                    custom_llm_provider=custom_llm_provider,
                 )
                 msg_i += 1
                 # Handle both single part and list of parts (for Computer Use with images)
diff --git a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
index e99f69fcd3e..189ac7a7f6a 100644
--- a/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
+++ b/litellm/llms/vertex_ai/gemini/vertex_and_google_ai_studio_gemini.py
@@ -289,6 +289,20 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
             return True
         return False
 
+    @staticmethod
+    def _forward_gemini_function_call_id(
+        model: str, custom_llm_provider: Optional[str] = None
+    ) -> bool:
+        """
+        Whether to include `id` on function_call / function_response parts.
+
+        Gemini 3+ on Google AI Studio accepts (and returns) `id` for strict
+        tool-call matching. Vertex AI rejects the field with HTTP 400.
+        """
+        if custom_llm_provider != "gemini":
+            return False
+        return VertexGeminiConfig._is_gemini_3_or_newer(model)
+
     def _supports_penalty_parameters(self, model: str) -> bool:
         # Gemini 3 models do not support penalty parameters
         if VertexGeminiConfig._is_gemini_3_or_newer(model):
@@ -2649,7 +2663,10 @@ class VertexGeminiConfig(VertexAIBaseConfig, BaseConfig):
         litellm_params: Optional[dict] = None,
     ) -> List[ContentType]:
         return _gemini_convert_messages_with_history(
-            messages=messages, model=model, litellm_params=litellm_params
+            messages=messages,
+            model=model,
+            litellm_params=litellm_params,
+            custom_llm_provider="vertex_ai",
         )
 
     def get_error_class(
diff --git a/litellm/types/llms/vertex_ai.py b/litellm/types/llms/vertex_ai.py
index b357b64156d..a1d53978761 100644
--- a/litellm/types/llms/vertex_ai.py
+++ b/litellm/types/llms/vertex_ai.py
@@ -16,15 +16,15 @@ GeminiEmbeddingInput = Union[EmbeddingInput, List[List[str]]]
 
 class FunctionResponse(TypedDict, total=False):
     # `id` correlates this response with the originating `functionCall` part.
-    # Required by Gemini 3.5+ for strict function-calling response matching.
+    # Supported on Google AI Studio Gemini 3.5+; Vertex AI rejects this field.
     id: str
     name: Required[str]
     response: Optional[dict]
 
 
 class FunctionCall(TypedDict, total=False):
-    # `id` is returned by Gemini 3.5+ to correlate the corresponding
-    # `functionResponse`. Older Gemini models omit this field.
+    # `id` correlates the corresponding `functionResponse` on Google AI Studio
+    # Gemini 3.5+. Vertex AI and older Gemini models omit/reject this field.
     id: str
     name: Required[str]
     args: Optional[dict]
@@ -52,8 +52,8 @@ class PartType(TypedDict, total=False):
 
 
 class HttpxFunctionCall(TypedDict, total=False):
-    # `id` is returned by Gemini 3.5+ to correlate the corresponding
-    # `functionResponse`. Older Gemini models omit this field.
+    # `id` correlates the corresponding `functionResponse` on Google AI Studio
+    # Gemini 3.5+. Vertex AI and older Gemini models omit/reject this field.
     id: str
     name: Required[str]
     args: dict
diff --git a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
index db993245426..45b9f4293fa 100644
--- a/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
+++ b/tests/test_litellm/llms/vertex_ai/gemini/test_vertex_and_google_ai_studio_gemini.py
@@ -2097,6 +2097,125 @@ def test_is_gemini_3_or_newer():
     assert VertexGeminiConfig._is_gemini_3_or_newer("") == False
 
 
+def test_forward_gemini_function_call_id_vertex_vs_google_ai_studio():
+    """Vertex AI rejects `id` on function_call/function_response; Google AI Studio accepts it on Gemini 3.5+."""
+    from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
+        VertexGeminiConfig,
+    )
+
+    model = "gemini-3.5-flash"
+    assert (
+        VertexGeminiConfig._forward_gemini_function_call_id(model, "vertex_ai") is False
+    )
+    assert (
+        VertexGeminiConfig._forward_gemini_function_call_id(model, "vertex_ai_beta")
+        is False
+    )
+    assert VertexGeminiConfig._forward_gemini_function_call_id(model, "gemini") is True
+    assert VertexGeminiConfig._forward_gemini_function_call_id(model, None) is False
+    assert (
+        VertexGeminiConfig._forward_gemini_function_call_id(
+            "gemini-2.5-flash", "gemini"
+        )
+        is False
+    )
+
+
+def test_vertex_ai_gemini_35_tool_calls_omit_function_call_id():
+    """Regression: Vertex must not send OpenAI tool_call id inside Gemini function_call parts."""
+    from litellm.llms.vertex_ai.gemini.transformation import (
+        _gemini_convert_messages_with_history,
+    )
+
+    messages = [
+        {"role": "user", "content": "Explore this directory"},
+        {
+            "role": "assistant",
+            "content": "",
+            "tool_calls": [
+                {
+                    "id": "call_50e7e0fe0989464a89f188eda443",
+                    "type": "function",
+                    "function": {
+                        "name": "read",
+                        "arguments": '{"filePath": "/tmp"}',
+                    },
+                }
+            ],
+        },
+        {
+            "role": "tool",
+            "tool_call_id": "call_50e7e0fe0989464a89f188eda443",
+            "content": "ok",
+        },
+    ]
+
+    contents = _gemini_convert_messages_with_history(
+        messages=messages,
+        model="gemini-3.5-flash",
+        custom_llm_provider="vertex_ai",
+    )
+
+    for content in contents:
+        for part in content.get("parts", []):
+            fc = part.get("function_call")
+            if fc is not None:
+                assert "id" not in fc, f"Vertex payload must not include id: {fc}"
+            fr = part.get("function_response")
+            if fr is not None:
+                assert "id" not in fr, f"Vertex payload must not include id: {fr}"
+
+
+def test_google_ai_studio_gemini_35_tool_calls_include_function_call_id():
+    from litellm.llms.vertex_ai.gemini.transformation import (
+        _gemini_convert_messages_with_history,
+    )
+
+    tool_call_id = "call_50e7e0fe0989464a89f188eda443"
+    messages = [
+        {"role": "user", "content": "hi"},
+        {
+            "role": "assistant",
+            "content": "",
+            "tool_calls": [
+                {
+                    "id": tool_call_id,
+                    "type": "function",
+                    "function": {
+                        "name": "read",
+                        "arguments": '{"filePath": "/tmp"}',
+                    },
+                }
+            ],
+        },
+        {
+            "role": "tool",
+            "tool_call_id": tool_call_id,
+            "content": "ok",
+        },
+    ]
+
+    contents = _gemini_convert_messages_with_history(
+        messages=messages,
+        model="gemini-3.5-flash",
+        custom_llm_provider="gemini",
+    )
+
+    function_call_ids = []
+    function_response_ids = []
+    for content in contents:
+        for part in content.get("parts", []):
+            fc = part.get("function_call")
+            if fc is not None:
+                function_call_ids.append(fc.get("id"))
+            fr = part.get("function_response")
+            if fr is not None:
+                function_response_ids.append(fr.get("id"))
+
+    assert function_call_ids == [tool_call_id]
+    assert function_response_ids == [tool_call_id]
+
+
 def test_reasoning_effort_maps_to_thinking_level_gemini_3():
     """Test that reasoning_effort maps to thinking_level AND includeThoughts for Gemini 3+ models"""
     from litellm.llms.vertex_ai.gemini.vertex_and_google_ai_studio_gemini import (
@@ -3531,7 +3650,12 @@ def test_video_metadata_supported_for_all_gemini_models():
         }
     ]
 
-    for model in ["gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro", "gemini-3-pro-preview"]:
+    for model in [
+        "gemini-1.5-pro",
+        "gemini-2.5-flash",
+        "gemini-2.5-pro",
+        "gemini-3-pro-preview",
+    ]:
         contents = _gemini_convert_messages_with_history(messages=messages, model=model)
 
         file_part = None
@@ -3541,19 +3665,25 @@ def test_video_metadata_supported_for_all_gemini_models():
                 break
 
         assert file_part is not None, f"{model}: file part should exist"
-        assert "video_metadata" in file_part, f"{model}: video_metadata should be present"
+        assert (
+            "video_metadata" in file_part
+        ), f"{model}: video_metadata should be present"
         assert file_part["video_metadata"]["fps"] == 5, f"{model}: fps should be 5"
 
     # Per-part media_resolution is Gemini 3+ only; 2.x uses generation_config global
     for model in ["gemini-3-pro-preview"]:
         contents = _gemini_convert_messages_with_history(messages=messages, model=model)
         file_part = next(p for p in contents[0]["parts"] if "file_data" in p)
-        assert "media_resolution" in file_part, f"{model}: media_resolution should be present"
+        assert (
+            "media_resolution" in file_part
+        ), f"{model}: media_resolution should be present"
 
     for model in ["gemini-1.5-pro", "gemini-2.5-flash", "gemini-2.5-pro"]:
         contents = _gemini_convert_messages_with_history(messages=messages, model=model)
         file_part = next(p for p in contents[0]["parts"] if "file_data" in p)
-        assert "media_resolution" not in file_part, f"{model}: per-part media_resolution should not be set"
+        assert (
+            "media_resolution" not in file_part
+        ), f"{model}: per-part media_resolution should not be set"
 
 
 def test_chunk_parser_handles_prompt_feedback_block():
@@ -4186,8 +4316,9 @@ def test_vertex_ai_usage_metadata_with_document_tokens_in_prompt():
 
     # DOCUMENT tokens should be included in text_tokens: 8 (TEXT) + 774 (DOCUMENT) = 782
     assert result.prompt_tokens_details is not None
-    assert result.prompt_tokens_details.text_tokens == 782, \
-        "DOCUMENT modality tokens should be added to text_tokens (8 TEXT + 774 DOCUMENT = 782)"
+    assert (
+        result.prompt_tokens_details.text_tokens == 782
+    ), "DOCUMENT modality tokens should be added to text_tokens (8 TEXT + 774 DOCUMENT = 782)"
 
     # Verify completion token details
     assert result.completion_tokens_details is not None
@@ -4222,8 +4353,9 @@ def test_vertex_ai_usage_metadata_with_document_tokens_cached():
 
     # DOCUMENT cached tokens map to cached_text_tokens, so:
     # text_tokens = (8 TEXT + 774 DOCUMENT) - 400 cached = 382
-    assert result.prompt_tokens_details.text_tokens == 382, \
-        "text_tokens should be (8 + 774) - 400 cached = 382"
+    assert (
+        result.prompt_tokens_details.text_tokens == 382
+    ), "text_tokens should be (8 + 774) - 400 cached = 382"
     assert result.prompt_tokens_details.cached_tokens == 400
 
 
@@ -4693,7 +4825,9 @@ def test_mid_stream_429_error_raises_during_iteration():
                 {
                     "content": {
                         "role": "model",
-                        "parts": [{"text": "Let me think about this...", "thought": True}],
+                        "parts": [
+                            {"text": "Let me think about this...", "thought": True}
+                        ],
                     },
                     "index": 0,
                 }
@@ -4713,7 +4847,9 @@ def test_mid_stream_429_error_raises_during_iteration():
                 {
                     "content": {
                         "role": "model",
-                        "parts": [{"text": "I'll generate the image now.", "thought": True}],
+                        "parts": [
+                            {"text": "I'll generate the image now.", "thought": True}
+                        ],
                     },
                     "index": 0,
                 }

From 718c4637a85698c568532da44e811b735c0a3c60 Mon Sep 17 00:00:00 2001
From: Sameer Kankute 
Date: Thu, 21 May 2026 03:58:44 +0530
Subject: [PATCH 12/13] feat(mcp): allow native MCP OAuth support for cursor
 (#28327)

* feat(mcp): allow native MCP OAuth redirect URIs (cursor://)

Discoverable OAuth /authorize rejected cursor:// callbacks because
validate_trusted_redirect_uri only accepted http/https. Add an
allowlisted native path with a built-in Cursor default and optional
MCP_TRUSTED_NATIVE_REDIRECT_URIS env for other clients.

Co-authored-by: Cursor 

* fix(mcp): address Greptile native redirect URI review

Lowercase paths in normalizer so env allowlist entries match case-
insensitively. Tighten wildcard prefix matching to reject sibling
paths (e.g. callback-2) unless the prefix ends with /.

Co-authored-by: Cursor 

* fix(mcp): reject query params on native OAuth redirect URIs

Greptile: normalization stripped query strings before allowlist compare,
so cursor://.../callback?injected=... could pass validation. Reject any
native redirect_uri with a query component (same as fragments).

Co-authored-by: Cursor 

* fix(model_cost_map): add mistral/ministral-8b-2512 entry

Mistral rotated the 'mistral/mistral-tiny' alias to return
'ministral-8b-2512' as the response model, which is not in the cost map.
This caused test_completion_mistral_api and
test_completion_mistral_api_modified_input to fail in
completion_cost lookup. Add the entry mirroring the existing
openrouter/mistralai/ministral-8b-2512 pricing.

* fix(mcp): lowercase default native redirect URIs

Make _parse_trusted_native_redirect_uris apply the same lowercasing
to built-in defaults as it does to env-var entries.

* fix(tests): backfill local model_cost into remote-fetched map

litellm.model_cost is loaded at import time from the URL pinned to main,
so pricing entries that exist only in this branch (e.g.
mistral/ministral-8b-2512, freshly added because Mistral now returns this
id from mistral-tiny) are absent at test time and completion_cost lookups
raise. Backfill the in-tree backup so cassette-driven cost calculations
resolve against the entries that ship with the branch under test.

Fixes the local_testing_part1 failures on test_completion_mistral_api and
test_completion_mistral_api_modified_input.

---------

Co-authored-by: Cursor 
Co-authored-by: mateo-berri <277851410+mateo-berri@users.noreply.github.com>
Co-authored-by: Claude 
---
 .../_experimental/mcp_server/oauth_utils.py   |  94 +++++++++++-
 .../mcp_server/test_byok_oauth_endpoints.py   | 137 ++++++++++++++++++
 2 files changed, 228 insertions(+), 3 deletions(-)

diff --git a/litellm/proxy/_experimental/mcp_server/oauth_utils.py b/litellm/proxy/_experimental/mcp_server/oauth_utils.py
index 8541a691e88..09176f7253a 100644
--- a/litellm/proxy/_experimental/mcp_server/oauth_utils.py
+++ b/litellm/proxy/_experimental/mcp_server/oauth_utils.py
@@ -29,6 +29,16 @@ _DEFAULT_PORTS = {"http": 80, "https": 443}
 # subdomain. HTTPS only.
 _TRUSTED_REDIRECT_ORIGINS_ENV = "MCP_TRUSTED_REDIRECT_ORIGINS"
 
+# Comma-separated private-use URI allowlist for native MCP clients.
+# A trailing ``*`` is a prefix match; end the prefix with ``/`` (e.g.
+# ``myapp://host/oauth/*``) so ``.../oauth/callback*`` does not also
+# match ``.../oauth/callback-2``.
+_TRUSTED_NATIVE_REDIRECT_URIS_ENV = "MCP_TRUSTED_NATIVE_REDIRECT_URIS"
+
+# Default allowlist for trusted native redirect URIs.
+_DEFAULT_NATIVE_REDIRECT_URIS: List[str] = [
+    "cursor://anysphere.cursor-mcp/oauth/callback",
+]
 
 _warned_invalid_proxy_base_url: Optional[str] = None
 
@@ -212,10 +222,82 @@ def _matches_trusted_origin_entry(netloc: str, entry: str) -> bool:
     return netloc == entry
 
 
+def _normalize_native_redirect_uri(
+    parsed,
+) -> str:
+    """Lowercase scheme, netloc, and path for allowlist comparison."""
+    return urlunparse(
+        (
+            (parsed.scheme or "").lower(),
+            (parsed.netloc or "").lower(),
+            (parsed.path or "").lower(),
+            "",
+            "",
+            "",
+        )
+    )
+
+
+def _parse_trusted_native_redirect_uris() -> List[str]:
+    """Built-in native MCP callbacks plus ``MCP_TRUSTED_NATIVE_REDIRECT_URIS``."""
+    entries: List[str] = [uri.lower() for uri in _DEFAULT_NATIVE_REDIRECT_URIS]
+    raw = os.environ.get(_TRUSTED_NATIVE_REDIRECT_URIS_ENV, "").strip()
+    if not raw:
+        return entries
+    for token in raw.split(","):
+        entry = token.strip().lower()
+        if entry and entry not in entries:
+            entries.append(entry)
+    return entries
+
+
+def _native_wildcard_prefix_matches(normalized: str, prefix: str) -> bool:
+    """Prefix match for ``entry*`` allowlist rows.
+
+    When the prefix does not end with ``/``, only exact matches or
+    deeper path segments (``prefix/...``) are accepted — not siblings
+    like ``prefix-2``.
+    """
+    if not normalized.startswith(prefix):
+        return False
+    suffix = normalized[len(prefix) :]
+    if not suffix:
+        return True
+    if prefix.endswith("/"):
+        return True
+    return suffix[0] == "/"
+
+
+def _matches_trusted_native_redirect_uri(parsed) -> bool:
+    """Allowlisted private-use / custom-scheme OAuth callbacks for native MCP clients."""
+    if parsed.fragment:
+        return False
+    # Query strings are not part of registered redirect_uris (RFC 6749 §3.1.2).
+    # Rejecting them prevents allowlist bypass via ``.../callback?injected=...``.
+    if parsed.query:
+        return False
+    if not parsed.netloc:
+        return False
+    if parsed.username is not None or parsed.password is not None:
+        return False
+    if "\\" in parsed.netloc:
+        return False
+
+    normalized = _normalize_native_redirect_uri(parsed)
+    for entry in _parse_trusted_native_redirect_uris():
+        if entry.endswith("*"):
+            if _native_wildcard_prefix_matches(normalized, entry[:-1]):
+                return True
+        elif normalized == entry:
+            return True
+    return False
+
+
 def validate_trusted_redirect_uri(request: Request, redirect_uri: str) -> None:
     """Accept ``redirect_uri`` when it is (a) same-origin with the
-    proxy's own request origin, (b) loopback, or (c) listed in the
-    ``MCP_TRUSTED_REDIRECT_ORIGINS`` ops allowlist.
+    proxy's own request origin, (b) loopback, (c) listed in the
+    ``MCP_TRUSTED_REDIRECT_ORIGINS`` ops allowlist, or (d) a built-in /
+    env-configured native MCP client callback (e.g. ``cursor://``).
 
     Same-origin is VERIA-57's threat-model-safe equivalent of loopback:
     an attacker who can host content on the proxy's own HTTPS origin
@@ -239,6 +321,8 @@ def validate_trusted_redirect_uri(request: Request, redirect_uri: str) -> None:
     except ValueError:
         raise HTTPException(status_code=400, detail="invalid_request")
     if parsed.scheme not in ("http", "https"):
+        if _matches_trusted_native_redirect_uri(parsed):
+            return
         raise HTTPException(status_code=400, detail="invalid_request")
     if parsed.fragment:
         raise HTTPException(status_code=400, detail="invalid_request")
@@ -310,9 +394,12 @@ def validate_trusted_redirect_uri(request: Request, redirect_uri: str) -> None:
         "Inbound headers: X-Forwarded-Proto=%r X-Forwarded-Host=%r "
         "X-Forwarded-Port=%r Host=%r. "
         "Trusted-redirect-origins env=%r. "
+        "Trusted-native-redirect-uris env=%r. "
         "If this should be accepted, either align ingress X-Forwarded-* "
         "with the browser URL, set PROXY_BASE_URL to your public origin, "
-        "or add the redirect_uri host to MCP_TRUSTED_REDIRECT_ORIGINS.",
+        "add the redirect_uri host to MCP_TRUSTED_REDIRECT_ORIGINS, or "
+        "for native MCP clients (cursor://, etc.) add the full redirect_uri "
+        "to MCP_TRUSTED_NATIVE_REDIRECT_URIS.",
         redirect_uri,
         proxy_base,
         os.environ.get("PROXY_BASE_URL"),
@@ -321,5 +408,6 @@ def validate_trusted_redirect_uri(request: Request, redirect_uri: str) -> None:
         request.headers.get("X-Forwarded-Port"),
         request.headers.get("Host"),
         os.environ.get(_TRUSTED_REDIRECT_ORIGINS_ENV),
+        os.environ.get(_TRUSTED_NATIVE_REDIRECT_URIS_ENV),
     )
     raise HTTPException(status_code=400, detail="invalid_request")
diff --git a/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py b/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py
index 66b96785f69..9f2feddb0e3 100644
--- a/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py
+++ b/tests/test_litellm/proxy/_experimental/mcp_server/test_byok_oauth_endpoints.py
@@ -1229,6 +1229,143 @@ def test_validate_trusted_redirect_uri_rejects_fragment_and_bad_scheme():
         assert exc.value.status_code == 400, uri
 
 
+def test_validate_trusted_redirect_uri_accepts_cursor_native_callback():
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    req = _make_trusted_request("http://localhost:4000/")
+    validate_trusted_redirect_uri(req, "cursor://anysphere.cursor-mcp/oauth/callback")
+
+
+def test_validate_trusted_redirect_uri_rejects_unlisted_native_callback(
+    monkeypatch,
+):
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    monkeypatch.setenv("MCP_TRUSTED_NATIVE_REDIRECT_URIS", "")
+    # Clear defaults by patching — env-only path for this test
+    monkeypatch.setattr(
+        "litellm.proxy._experimental.mcp_server.oauth_utils._DEFAULT_NATIVE_REDIRECT_URIS",
+        [],
+    )
+    req = _make_trusted_request("http://localhost:4000/")
+    with pytest.raises(HTTPException) as exc:
+        validate_trusted_redirect_uri(
+            req, "cursor://anysphere.cursor-mcp/oauth/callback"
+        )
+    assert exc.value.status_code == 400
+
+
+def test_validate_trusted_redirect_uri_accepts_env_native_redirect_uri(
+    monkeypatch,
+):
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    monkeypatch.setattr(
+        "litellm.proxy._experimental.mcp_server.oauth_utils._DEFAULT_NATIVE_REDIRECT_URIS",
+        [],
+    )
+    monkeypatch.setenv(
+        "MCP_TRUSTED_NATIVE_REDIRECT_URIS",
+        "vscode://my-app/oauth/callback",
+    )
+    req = _make_trusted_request("http://localhost:4000/")
+    validate_trusted_redirect_uri(req, "vscode://my-app/oauth/callback")
+
+
+def test_validate_trusted_redirect_uri_rejects_native_callback_with_fragment():
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    req = _make_trusted_request("http://localhost:4000/")
+    with pytest.raises(HTTPException) as exc:
+        validate_trusted_redirect_uri(
+            req, "cursor://anysphere.cursor-mcp/oauth/callback#frag"
+        )
+    assert exc.value.status_code == 400
+
+
+def test_validate_trusted_redirect_uri_rejects_native_callback_with_query():
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    req = _make_trusted_request("http://localhost:4000/")
+    with pytest.raises(HTTPException) as exc:
+        validate_trusted_redirect_uri(
+            req,
+            "cursor://anysphere.cursor-mcp/oauth/callback?injected=anything",
+        )
+    assert exc.value.status_code == 400
+
+
+def test_validate_trusted_redirect_uri_native_path_case_insensitive(monkeypatch):
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    monkeypatch.setattr(
+        "litellm.proxy._experimental.mcp_server.oauth_utils._DEFAULT_NATIVE_REDIRECT_URIS",
+        [],
+    )
+    monkeypatch.setenv(
+        "MCP_TRUSTED_NATIVE_REDIRECT_URIS",
+        "myapp://host/MyPath",
+    )
+    req = _make_trusted_request("http://localhost:4000/")
+    validate_trusted_redirect_uri(req, "myapp://host/MyPath")
+
+
+def test_validate_trusted_redirect_uri_native_wildcard_respects_path_boundary(
+    monkeypatch,
+):
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    monkeypatch.setattr(
+        "litellm.proxy._experimental.mcp_server.oauth_utils._DEFAULT_NATIVE_REDIRECT_URIS",
+        [],
+    )
+    monkeypatch.setenv(
+        "MCP_TRUSTED_NATIVE_REDIRECT_URIS",
+        "cursor://anysphere.cursor-mcp/oauth/callback*",
+    )
+    req = _make_trusted_request("http://localhost:4000/")
+    validate_trusted_redirect_uri(
+        req, "cursor://anysphere.cursor-mcp/oauth/callback/extra"
+    )
+    with pytest.raises(HTTPException):
+        validate_trusted_redirect_uri(
+            req, "cursor://anysphere.cursor-mcp/oauth/callback-2"
+        )
+
+
+def test_validate_trusted_redirect_uri_native_wildcard_directory_prefix(
+    monkeypatch,
+):
+    from litellm.proxy._experimental.mcp_server.oauth_utils import (
+        validate_trusted_redirect_uri,
+    )
+
+    monkeypatch.setattr(
+        "litellm.proxy._experimental.mcp_server.oauth_utils._DEFAULT_NATIVE_REDIRECT_URIS",
+        [],
+    )
+    monkeypatch.setenv(
+        "MCP_TRUSTED_NATIVE_REDIRECT_URIS",
+        "cursor://anysphere.cursor-mcp/oauth/*",
+    )
+    req = _make_trusted_request("http://localhost:4000/")
+    validate_trusted_redirect_uri(req, "cursor://anysphere.cursor-mcp/oauth/callback")
+
+
 def test_validate_trusted_redirect_uri_rejects_scheme_mismatch_on_same_host():
     """Regression: an attacker who can serve http on the proxy's own
     host (e.g. by MITMing an unencrypted LAN hop) must not be able to

From 8acf64e16c027bf497bc3ba7f13b7298fd2caf28 Mon Sep 17 00:00:00 2001
From: Mateo Wang <277851410+mateo-berri@users.noreply.github.com>
Date: Wed, 20 May 2026 16:41:40 -0700
Subject: [PATCH 13/13] fix(interactions): never drop streamed text deltas;
 always emit terminal completion (#28394)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

* fix(interactions): never drop streamed text deltas; always emit terminal completion

The interactions streaming bridge had two bugs flagged by Greptile on PR #28153:

1. The first OutputTextDeltaEvent (and the second, when no ResponseCreatedEvent
   precedes the deltas) was consumed to emit a synthetic interaction.created /
   step.start event, but the chunk's text payload was never forwarded as a
   step.delta. The text only reappeared in the terminal step.stop, which
   defeats the purpose of incremental streaming.

2. When the upstream Responses API stream ended via StopIteration without a
   ResponseCompletedEvent, the iterator emitted step.stop but never the
   terminal interaction.completed event carrying the full collected text.

This refactors the iterator to translate each upstream chunk into a list of
events (instead of a single event) and buffers them in a deque. A text delta
now expands into [interaction.created, step.start, step.delta] on the first
chunk so no token is dropped, and the StopIteration / StopAsyncIteration
fallback always flushes a terminal interaction.completed event when one
hasn't already been sent.

Both behaviors are covered by new unit tests:
- test_no_text_token_is_dropped_during_streaming
- test_response_created_then_text_delta_emits_step_start_and_delta
- test_stop_iteration_fallback_emits_completion_event
- test_response_completed_emits_stop_then_completion (no double-emit)

Co-authored-by: Mateo Wang 

* fix(interactions): correlate EOF terminal events with stream's interaction id

The StopIteration fallback path previously built the terminal step.stop /
interaction.completed events with id=None (legacy content.stop) and a
memory-address fallback string (interaction.completed), neither of which
matched the item_id used by the earlier interaction.created / step.start /
step.delta events in the same stream. Downstream consumers correlating
events by id would see a mismatch.

Persist the interaction id derived from the first upstream chunk (item_id
on an OutputTextDeltaEvent, or response.id on a ResponseCreatedEvent) and
reuse it when flushing the terminal events on EOF.

Author: mateo-berri <277851410+mateo-berri@users.noreply.github.com>

* ci(windows): raise UV_HTTP_TIMEOUT to 300s for uv sync

The using_litellm_on_windows job has been hitting flaky PyPI download
timeouts during 'uv sync --frozen --group dev' — different packages on
each rerun (six, pydantic-core), all surfacing the same uv error:

  Failed to download distribution due to network timeout.
  Try increasing UV_HTTP_TIMEOUT (current value: 30s).

uv's default 30s per-request timeout is too tight for the Windows runner
on this project (50+ deps, several multi-MB wheels), so bump it to 300s
to let slow individual downloads complete instead of failing the build.

* fix(interactions): correlate ResponseCompletedEvent terminal events with stream's interaction id

When a stream starts directly with OutputTextDeltaEvent (no preceding
ResponseCreatedEvent), interaction.created carries item_id while
interaction.completed previously carried response.id from
ResponseCompletedEvent. The two ids can differ, leaving consumers that
correlate events by id unable to match the start and completion events.

Fall back to self._interaction_id (set on the first chunk that derives
an id) before response.id, mirroring the EOF terminal path.

---------

Co-authored-by: Cursor Agent 
Co-authored-by: Mateo Wang 
---
 .circleci/config.yml                          |   2 +
 .../streaming_iterator.py                     | 471 +++++++++---------
 ...test_gemini_interactions_transformation.py | 217 ++++++--
 3 files changed, 405 insertions(+), 285 deletions(-)

diff --git a/.circleci/config.yml b/.circleci/config.yml
index 32983c92e27..3139bd3cb26 100644
--- a/.circleci/config.yml
+++ b/.circleci/config.yml
@@ -158,6 +158,8 @@ jobs:
             CHOCOLATEY_CONFIRM_ALL: "true"
       - run:
           name: Install Dependencies
+          environment:
+            UV_HTTP_TIMEOUT: "300"
           command: |
             $installer = Join-Path $env:TEMP "uv-install.ps1"
             Invoke-WebRequest -Uri https://astral.sh/uv/0.10.9/install.ps1 -OutFile $installer
diff --git a/litellm/interactions/litellm_responses_transformation/streaming_iterator.py b/litellm/interactions/litellm_responses_transformation/streaming_iterator.py
index 90f9517e8be..4a3eb63084e 100644
--- a/litellm/interactions/litellm_responses_transformation/streaming_iterator.py
+++ b/litellm/interactions/litellm_responses_transformation/streaming_iterator.py
@@ -2,7 +2,17 @@
 Streaming iterator for transforming Responses API stream to Interactions API stream.
 """
 
-from typing import Any, AsyncIterator, Dict, Iterator, Optional, cast
+from collections import deque
+from typing import (
+    Any,
+    AsyncIterator,
+    Deque,
+    Dict,
+    Iterator,
+    List,
+    Optional,
+    cast,
+)
 
 from litellm.responses.streaming_iterator import (
     BaseResponsesAPIStreamingIterator,
@@ -33,9 +43,9 @@ class LiteLLMResponsesInteractionsStreamingIterator:
 
     Schema selection:
     - New schema (default, use_legacy_interactions_schema=False):
-        interaction.created → step.start → step.delta … → step.stop → interaction.completed
+        interaction.created -> step.start -> step.delta ... -> step.stop -> interaction.completed
     - Legacy schema (use_legacy_interactions_schema=True, remove after June 8 2026):
-        interaction.start → content.start → content.delta … → content.stop → interaction.complete
+        interaction.start -> content.start -> content.delta ... -> content.stop -> interaction.complete
     """
 
     def __init__(
@@ -63,86 +73,152 @@ class LiteLLMResponsesInteractionsStreamingIterator:
         # emitted by this stream use a consistent schema, even if the global
         # flag is mutated mid-stream (e.g. by a config reload).
         self._use_legacy: bool = litellm.use_legacy_interactions_schema
+        # Buffer of events that have been derived from upstream chunks but not
+        # yet returned to the caller. A single Responses API chunk may expand
+        # into multiple Interactions API events (e.g. the first text delta
+        # produces interaction.created + step.start + step.delta), and the
+        # terminal sequence on stream end may also span multiple events
+        # (step.stop + interaction.completed).
+        self._pending_events: Deque[InteractionsAPIStreamingResponse] = deque()
+        # Tracks whether we've already emitted a terminal completion event so
+        # the StopIteration fallback path doesn't double-emit.
+        self._sent_completion_event = False
+        # ID resolved from the first upstream chunk (item_id on a text delta or
+        # response.id on response.created). Persisted so the EOF terminal
+        # events stay correlated with the start events delivered earlier.
+        self._interaction_id: Optional[str] = None
 
-    def _transform_responses_chunk_to_interactions_chunk(
-        self,
-        responses_chunk: ResponsesAPIStreamingResponse,
-    ) -> Optional[InteractionsAPIStreamingResponse]:
+    # ------------------------------------------------------------------
+    # Event builders
+    # ------------------------------------------------------------------
+
+    def _build_interaction_start_event(
+        self, interaction_id: str
+    ) -> InteractionsAPIStreamingResponse:
+        event_type = "interaction.start" if self._use_legacy else "interaction.created"
+        return InteractionsAPIStreamingResponse(
+            event_type=event_type,
+            id=interaction_id,
+            object="interaction",
+            status="in_progress",
+            model=self.model,
+        )
+
+    def _build_content_start_event(
+        self, interaction_id: str
+    ) -> InteractionsAPIStreamingResponse:
+        if self._use_legacy:
+            return InteractionsAPIStreamingResponse(
+                event_type="content.start",
+                id=interaction_id,
+                object="content",
+                delta={"type": "text", "text": ""},
+            )
+        return InteractionsAPIStreamingResponse(
+            event_type="step.start",
+            index=0,
+            step={"type": "model_output", "content": []},
+        )
+
+    def _build_text_delta_event(
+        self, interaction_id: str, delta_text: str
+    ) -> InteractionsAPIStreamingResponse:
+        if self._use_legacy:
+            return InteractionsAPIStreamingResponse(
+                event_type="content.delta",
+                id=interaction_id,
+                object="content",
+                delta={"type": "text", "text": delta_text},
+            )
+        return InteractionsAPIStreamingResponse(
+            event_type="step.delta",
+            index=0,
+            delta={"type": "text", "text": delta_text},
+        )
+
+    def _build_content_stop_event(
+        self, interaction_id: Optional[str]
+    ) -> InteractionsAPIStreamingResponse:
+        if self._use_legacy:
+            return InteractionsAPIStreamingResponse(
+                event_type="content.stop",
+                id=interaction_id,
+                object="content",
+                delta={"type": "text", "text": self.collected_text},
+            )
+        return InteractionsAPIStreamingResponse(
+            event_type="step.stop",
+            index=0,
+        )
+
+    def _build_completion_event(
+        self, response_id: str
+    ) -> InteractionsAPIStreamingResponse:
+        if self._use_legacy:
+            return InteractionsAPIStreamingResponse(
+                event_type="interaction.complete",
+                id=response_id,
+                object="interaction",
+                status="completed",
+                model=self.model,
+                outputs=[{"type": "text", "text": self.collected_text}],
+            )
+        return InteractionsAPIStreamingResponse(
+            event_type="interaction.completed",
+            id=response_id,
+            object="interaction",
+            status="completed",
+            model=self.model,
+            steps=[
+                {
+                    "type": "model_output",
+                    "content": [{"type": "text", "text": self.collected_text}],
+                }
+            ],
+        )
+
+    # ------------------------------------------------------------------
+    # Per-chunk transform (returns a list of events to enqueue)
+    # ------------------------------------------------------------------
+
+    def _events_for_chunk(
+        self, responses_chunk: ResponsesAPIStreamingResponse
+    ) -> List[InteractionsAPIStreamingResponse]:
         """
-        Transform a Responses API streaming chunk to an Interactions API streaming chunk.
+        Translate a single upstream Responses API chunk into the list of
+        Interactions API events it should produce.
 
-        Emits new-schema events by default; falls back to legacy events when
-        ``litellm.use_legacy_interactions_schema`` is True.
-        Remove legacy branch after June 8, 2026.
+        Returning a list (rather than a single event) lets a chunk emit any
+        synthetic start events that haven't been sent yet *together with* the
+        actual delta event, so we never silently drop the chunk's payload.
         """
         if not responses_chunk:
-            return None
+            return []
 
-        use_legacy = self._use_legacy
-
-        # Handle OutputTextDeltaEvent
+        # Text delta: emit any missing start events, then the delta itself.
         if isinstance(responses_chunk, OutputTextDeltaEvent):
             delta_text = (
                 responses_chunk.delta if isinstance(responses_chunk.delta, str) else ""
             )
             self.collected_text += delta_text
-            item_id = (
+            interaction_id = (
                 getattr(responses_chunk, "item_id", None) or f"interaction_{id(self)}"
             )
+            if self._interaction_id is None:
+                self._interaction_id = interaction_id
 
-            # Send the "interaction started" event on the first delta
+            events: List[InteractionsAPIStreamingResponse] = []
             if not self.sent_interaction_start:
                 self.sent_interaction_start = True
-                if use_legacy:
-                    return InteractionsAPIStreamingResponse(
-                        event_type="interaction.start",
-                        id=item_id,
-                        object="interaction",
-                        status="in_progress",
-                        model=self.model,
-                    )
-                else:
-                    return InteractionsAPIStreamingResponse(
-                        event_type="interaction.created",
-                        id=item_id,
-                        object="interaction",
-                        status="in_progress",
-                        model=self.model,
-                    )
-
-            # Send the "content/step started" event on the second delta
+                events.append(self._build_interaction_start_event(interaction_id))
             if not self.sent_content_start:
                 self.sent_content_start = True
-                if use_legacy:
-                    return InteractionsAPIStreamingResponse(
-                        event_type="content.start",
-                        id=item_id,
-                        object="content",
-                        delta={"type": "text", "text": ""},
-                    )
-                else:
-                    return InteractionsAPIStreamingResponse(
-                        event_type="step.start",
-                        index=0,
-                        step={"type": "model_output", "content": []},
-                    )
+                events.append(self._build_content_start_event(interaction_id))
+            events.append(self._build_text_delta_event(interaction_id, delta_text))
+            return events
 
-            # Emit the delta itself
-            if use_legacy:
-                return InteractionsAPIStreamingResponse(
-                    event_type="content.delta",
-                    id=item_id,
-                    object="content",
-                    delta={"type": "text", "text": delta_text},
-                )
-            else:
-                return InteractionsAPIStreamingResponse(
-                    event_type="step.delta",
-                    index=0,
-                    delta={"type": "text", "text": delta_text},
-                )
-
-        # Handle ResponseCreatedEvent or ResponseInProgressEvent
+        # Response created / in-progress: synthesize interaction start if we
+        # haven't already sent one.
         if isinstance(responses_chunk, (ResponseCreatedEvent, ResponseInProgressEvent)):
             if not self.sent_interaction_start:
                 self.sent_interaction_start = True
@@ -151,224 +227,135 @@ class LiteLLMResponsesInteractionsStreamingIterator:
                     if hasattr(responses_chunk, "response")
                     else None
                 ) or f"interaction_{id(self)}"
-                event_type = (
-                    "interaction.start" if use_legacy else "interaction.created"
-                )
-                return InteractionsAPIStreamingResponse(
-                    event_type=event_type,
-                    id=response_id,
-                    object="interaction",
-                    status="in_progress",
-                    model=self.model,
-                )
+                if self._interaction_id is None:
+                    self._interaction_id = response_id
+                return [self._build_interaction_start_event(response_id)]
+            return []
 
-        # Handle ResponseCompletedEvent
+        # Response completed: emit step.stop (if content was started) followed
+        # by the terminal completion event. Prefer the interaction id already
+        # established by earlier events so consumers can correlate the start
+        # and completion events by id (response.id may differ from the item_id
+        # used to derive the initial id when the stream starts directly with a
+        # text delta).
         if isinstance(responses_chunk, ResponseCompletedEvent):
             self.finished = True
             response = responses_chunk.response
-            response_id = getattr(response, "id", None) or f"interaction_{id(self)}"
+            response_id = (
+                self._interaction_id
+                or getattr(response, "id", None)
+                or f"interaction_{id(self)}"
+            )
 
-            if use_legacy:
-                return InteractionsAPIStreamingResponse(
-                    event_type="interaction.complete",
-                    id=response_id,
-                    object="interaction",
-                    status="completed",
-                    model=self.model,
-                    outputs=[{"type": "text", "text": self.collected_text}],
-                )
-            else:
-                return InteractionsAPIStreamingResponse(
-                    event_type="interaction.completed",
-                    id=response_id,
-                    object="interaction",
-                    status="completed",
-                    model=self.model,
-                    steps=[
-                        {
-                            "type": "model_output",
-                            "content": [{"type": "text", "text": self.collected_text}],
-                        }
-                    ],
-                )
+            terminal: List[InteractionsAPIStreamingResponse] = []
+            if self.sent_content_start:
+                terminal.append(self._build_content_stop_event(response_id))
+            terminal.append(self._build_completion_event(response_id))
+            self._sent_completion_event = True
+            return terminal
 
-        # For other event types, return None (skip)
-        return None
+        return []
+
+    def _build_terminal_events_on_eof(
+        self,
+    ) -> List[InteractionsAPIStreamingResponse]:
+        """
+        Build the events to flush when the upstream stream ends without a
+        ResponseCompletedEvent. Ensures consumers always observe a terminal
+        interaction.completed/interaction.complete carrying the full text.
+        """
+        if self._sent_completion_event:
+            return []
+
+        fallback_id = self._interaction_id or f"interaction_{id(self)}"
+        terminal: List[InteractionsAPIStreamingResponse] = []
+        if self.sent_content_start:
+            terminal.append(self._build_content_stop_event(fallback_id))
+        if self.sent_interaction_start or self.collected_text:
+            terminal.append(self._build_completion_event(fallback_id))
+            self._sent_completion_event = True
+        return terminal
+
+    # ------------------------------------------------------------------
+    # Iteration
+    # ------------------------------------------------------------------
 
     def __iter__(self) -> Iterator[InteractionsAPIStreamingResponse]:
-        """Sync iterator implementation."""
         return self
 
     def __next__(self) -> InteractionsAPIStreamingResponse:
-        """Get next chunk in sync mode."""
-        # Check for a pending interaction.complete/completed event BEFORE the
-        # finished check — otherwise the buffered completion event (which
-        # carries the full text) would be dropped after `self.finished` is set.
-        if hasattr(self, "_pending_interaction_complete"):
-            pending: InteractionsAPIStreamingResponse = getattr(
-                self, "_pending_interaction_complete"
-            )
-            delattr(self, "_pending_interaction_complete")
-            return pending
+        if self._pending_events:
+            return self._pending_events.popleft()
 
         if self.finished:
             raise StopIteration
 
-        # Use a loop instead of recursion to avoid stack overflow
         sync_iterator = cast(
             SyncResponsesAPIStreamingIterator, self.responses_stream_iterator
         )
         while True:
             try:
-                # Get next chunk from responses API stream
                 chunk = next(sync_iterator)
-
-                # Transform chunk (chunk is already a ResponsesAPIStreamingResponse)
-                transformed = self._transform_responses_chunk_to_interactions_chunk(
-                    chunk
-                )
-
-                if transformed:
-                    completion_event_type = (
-                        "interaction.complete"
-                        if self._use_legacy
-                        else "interaction.completed"
-                    )
-                    stop_event_type = (
-                        "content.stop" if self._use_legacy else "step.stop"
-                    )
-                    # If content was started, send the stop event before the completion event.
-                    if (
-                        self.finished
-                        and self.sent_content_start
-                        and transformed.event_type == completion_event_type
-                    ):
-                        stop_kwargs: Dict[str, Any] = {
-                            "event_type": stop_event_type,
-                            "index": 0,
-                        }
-                        if self._use_legacy:
-                            stop_kwargs["id"] = transformed.id
-                            stop_kwargs["object"] = "content"
-                            stop_kwargs["delta"] = {
-                                "type": "text",
-                                "text": self.collected_text,
-                            }
-                        stop_chunk = InteractionsAPIStreamingResponse(**stop_kwargs)
-                        self._pending_interaction_complete = transformed
-                        return stop_chunk
-                    return transformed
-
-                # If no transformation, continue to next chunk (loop continues)
-
             except StopIteration:
                 self.finished = True
+                self._pending_events.extend(self._build_terminal_events_on_eof())
+                if self._pending_events:
+                    return self._pending_events.popleft()
+                raise
 
-                # Send final stop event if content was started
-                if self.sent_content_start:
-                    stop_event_type = (
-                        "content.stop" if self._use_legacy else "step.stop"
-                    )
-                    stop_kwargs = {
-                        "event_type": stop_event_type,
-                        "index": 0,
-                    }
-                    if self._use_legacy:
-                        stop_kwargs["object"] = "content"
-                        stop_kwargs["delta"] = {
-                            "type": "text",
-                            "text": self.collected_text,
-                        }
-                    return InteractionsAPIStreamingResponse(**stop_kwargs)
-
-                raise StopIteration
+            events = self._events_for_chunk(chunk)
+            if events:
+                self._pending_events.extend(events)
+                return self._pending_events.popleft()
 
     def __aiter__(self) -> AsyncIterator[InteractionsAPIStreamingResponse]:
-        """Async iterator implementation."""
         return self
 
     async def __anext__(self) -> InteractionsAPIStreamingResponse:
-        """Get next chunk in async mode."""
-        # Check for a pending interaction.complete/completed event BEFORE the
-        # finished check — otherwise the buffered completion event (which
-        # carries the full text) would be dropped after `self.finished` is set.
-        if hasattr(self, "_pending_interaction_complete"):
-            pending: InteractionsAPIStreamingResponse = getattr(
-                self, "_pending_interaction_complete"
-            )
-            delattr(self, "_pending_interaction_complete")
-            return pending
+        if self._pending_events:
+            return self._pending_events.popleft()
 
         if self.finished:
             raise StopAsyncIteration
 
-        # Use a loop instead of recursion to avoid stack overflow
         async_iterator = cast(
             ResponsesAPIStreamingIterator, self.responses_stream_iterator
         )
         while True:
             try:
-                # Get next chunk from responses API stream
                 chunk = await async_iterator.__anext__()
-
-                # Transform chunk (chunk is already a ResponsesAPIStreamingResponse)
-                transformed = self._transform_responses_chunk_to_interactions_chunk(
-                    chunk
-                )
-
-                if transformed:
-                    completion_event_type = (
-                        "interaction.complete"
-                        if self._use_legacy
-                        else "interaction.completed"
-                    )
-                    stop_event_type = (
-                        "content.stop" if self._use_legacy else "step.stop"
-                    )
-                    # If content was started, send the stop event before the completion event.
-                    if (
-                        self.finished
-                        and self.sent_content_start
-                        and transformed.event_type == completion_event_type
-                    ):
-                        stop_kwargs_async: Dict[str, Any] = {
-                            "event_type": stop_event_type,
-                            "index": 0,
-                        }
-                        if self._use_legacy:
-                            stop_kwargs_async["id"] = transformed.id
-                            stop_kwargs_async["object"] = "content"
-                            stop_kwargs_async["delta"] = {
-                                "type": "text",
-                                "text": self.collected_text,
-                            }
-                        stop_chunk = InteractionsAPIStreamingResponse(
-                            **stop_kwargs_async
-                        )
-                        self._pending_interaction_complete = transformed
-                        return stop_chunk
-                    return transformed
-
-                # If no transformation, continue to next chunk (loop continues)
-
             except StopAsyncIteration:
                 self.finished = True
+                self._pending_events.extend(self._build_terminal_events_on_eof())
+                if self._pending_events:
+                    return self._pending_events.popleft()
+                raise
 
-                # Send final stop event if content was started
-                if self.sent_content_start:
-                    stop_event_type = (
-                        "content.stop" if self._use_legacy else "step.stop"
-                    )
-                    stop_kwargs_async = {
-                        "event_type": stop_event_type,
-                        "index": 0,
-                    }
-                    if self._use_legacy:
-                        stop_kwargs_async["object"] = "content"
-                        stop_kwargs_async["delta"] = {
-                            "type": "text",
-                            "text": self.collected_text,
-                        }
-                    return InteractionsAPIStreamingResponse(**stop_kwargs_async)
+            events = self._events_for_chunk(chunk)
+            if events:
+                self._pending_events.extend(events)
+                return self._pending_events.popleft()
 
-                raise StopAsyncIteration
+    # ------------------------------------------------------------------
+    # Backwards-compatible single-chunk transform (used by tests and any
+    # external callers that drove the iterator chunk-by-chunk pre-fix).
+    # ------------------------------------------------------------------
+
+    def _transform_responses_chunk_to_interactions_chunk(
+        self,
+        responses_chunk: ResponsesAPIStreamingResponse,
+    ) -> Optional[InteractionsAPIStreamingResponse]:
+        """
+        Compatibility shim: returns the *first* event produced for this chunk
+        and queues any remaining events on ``self._pending_events`` so they
+        are surfaced on subsequent calls/iterations.
+
+        Prefer ``_events_for_chunk`` in new code.
+        """
+        events = self._events_for_chunk(responses_chunk)
+        if not events:
+            return None
+        first = events[0]
+        if len(events) > 1:
+            self._pending_events.extend(events[1:])
+        return first
diff --git a/tests/test_litellm/interactions/test_gemini_interactions_transformation.py b/tests/test_litellm/interactions/test_gemini_interactions_transformation.py
index b4575ceb9be..524589abf5e 100644
--- a/tests/test_litellm/interactions/test_gemini_interactions_transformation.py
+++ b/tests/test_litellm/interactions/test_gemini_interactions_transformation.py
@@ -25,6 +25,7 @@ from litellm.llms.gemini.interactions.transformation import (
 )
 from litellm.types.llms.openai import (
     OutputTextDeltaEvent,
+    ResponseCompletedEvent,
     ResponseCreatedEvent,
 )
 from litellm.types.router import GenericLiteLLMParams
@@ -151,7 +152,12 @@ class TestTransformRequest:
         request_body = config.transform_request(
             model=None,
             agent="my-custom-slides-agent",
-            input=[{"type": "text", "text": "Create a 5-slide presentation about AI trends."}],
+            input=[
+                {
+                    "type": "text",
+                    "text": "Create a 5-slide presentation about AI trends.",
+                }
+            ],
             optional_params={
                 "environment": "remote",
                 "stream": False,
@@ -306,7 +312,55 @@ class TestStreamingIterator:
         assert chunk.id == "resp_123"
 
     def test_text_delta_sequence_new_schema(self):
-        """First two OutputTextDeltaEvents emit created + step.start; third emits step.delta."""
+        """First chunk yields created + step.start + step.delta; later chunks yield step.delta."""
+        it = self._make_iterator(use_legacy=False)
+
+        first_events = it._events_for_chunk(self._make_text_delta("Hello"))
+        assert [e.event_type for e in first_events] == [
+            "interaction.created",
+            "step.start",
+            "step.delta",
+        ]
+        assert first_events[-1].delta == {"type": "text", "text": "Hello"}
+        assert it.sent_interaction_start is True
+        assert it.sent_content_start is True
+
+        second_events = it._events_for_chunk(self._make_text_delta(" World"))
+        assert [e.event_type for e in second_events] == ["step.delta"]
+        assert second_events[0].delta == {"type": "text", "text": " World"}
+
+        third_events = it._events_for_chunk(self._make_text_delta("!"))
+        assert [e.event_type for e in third_events] == ["step.delta"]
+        assert third_events[0].delta == {"type": "text", "text": "!"}
+
+    def test_text_delta_sequence_legacy_schema(self):
+        """Legacy: first chunk yields interaction.start + content.start + content.delta."""
+        it = self._make_iterator(use_legacy=True)
+
+        first_events = it._events_for_chunk(self._make_text_delta("Hello"))
+        assert [e.event_type for e in first_events] == [
+            "interaction.start",
+            "content.start",
+            "content.delta",
+        ]
+        assert first_events[-1].delta == {"type": "text", "text": "Hello"}
+
+        second_events = it._events_for_chunk(self._make_text_delta(" World"))
+        assert [e.event_type for e in second_events] == ["content.delta"]
+        assert second_events[0].delta == {"type": "text", "text": " World"}
+
+    def test_first_text_delta_without_item_id_uses_fallback_id(self):
+        it = self._make_iterator(use_legacy=False)
+        event = self._make_text_delta("Hi")
+        event.item_id = None
+
+        events = it._events_for_chunk(event)
+
+        assert events[0].event_type == "interaction.created"
+        assert events[0].id == f"interaction_{id(it)}"
+
+    def test_first_text_delta_emits_text_via_compat_shim(self):
+        """The legacy single-chunk shim must surface the synthetic events AND the delta."""
         it = self._make_iterator(use_legacy=False)
 
         first = it._transform_responses_chunk_to_interactions_chunk(
@@ -314,57 +368,134 @@ class TestStreamingIterator:
         )
         assert first is not None
         assert first.event_type == "interaction.created"
-        assert it.sent_interaction_start is True
-        assert it.sent_content_start is False
 
-        second = it._transform_responses_chunk_to_interactions_chunk(
-            self._make_text_delta(" World")
-        )
+        second = it.__next__() if it._pending_events else None
         assert second is not None
         assert second.event_type == "step.start"
-        assert it.sent_content_start is True
 
-        third = it._transform_responses_chunk_to_interactions_chunk(
-            self._make_text_delta("!")
-        )
+        third = it.__next__() if it._pending_events else None
         assert third is not None
         assert third.event_type == "step.delta"
-        assert third.delta == {"type": "text", "text": "!"}
+        assert third.delta == {"type": "text", "text": "Hello"}
 
-    def test_text_delta_sequence_legacy_schema(self):
-        """Legacy: interaction.start → content.start → content.delta."""
-        it = self._make_iterator(use_legacy=True)
-
-        first = it._transform_responses_chunk_to_interactions_chunk(
-            self._make_text_delta("Hello")
-        )
-        assert first is not None
-        assert first.event_type == "interaction.start"
-
-        second = it._transform_responses_chunk_to_interactions_chunk(
-            self._make_text_delta(" World")
-        )
-        assert second is not None
-        assert second.event_type == "content.start"
-        assert second.delta == {"type": "text", "text": ""}
-
-        third = it._transform_responses_chunk_to_interactions_chunk(
-            self._make_text_delta("!")
-        )
-        assert third is not None
-        assert third.event_type == "content.delta"
-        assert third.delta == {"type": "text", "text": "!"}
-
-    def test_first_text_delta_without_item_id_uses_fallback_id(self):
+    def test_response_created_then_text_delta_emits_step_start_and_delta(self):
+        """Realistic flow: response.created arrives first, then text delta."""
         it = self._make_iterator(use_legacy=False)
-        event = self._make_text_delta("Hi")
-        event.item_id = None
 
-        chunk = it._transform_responses_chunk_to_interactions_chunk(event)
+        first = it._events_for_chunk(self._make_response_created())
+        assert [e.event_type for e in first] == ["interaction.created"]
 
-        assert chunk is not None
-        assert chunk.event_type == "interaction.created"
-        assert chunk.id == f"interaction_{id(it)}"
+        second = it._events_for_chunk(self._make_text_delta("Hello"))
+        assert [e.event_type for e in second] == ["step.start", "step.delta"]
+        assert second[-1].delta == {"type": "text", "text": "Hello"}
+
+    def test_no_text_token_is_dropped_during_streaming(self):
+        """Concatenated step.delta payloads must equal the upstream text."""
+        it = self._make_iterator(use_legacy=False)
+
+        chunks = ["Hello", " ", "world", "!"]
+        emitted_text = ""
+        for c in chunks:
+            for ev in it._events_for_chunk(self._make_text_delta(c)):
+                if ev.event_type == "step.delta":
+                    assert ev.delta is not None
+                    emitted_text += ev.delta["text"]
+
+        assert emitted_text == "Hello world!"
+
+    def test_stop_iteration_fallback_emits_completion_event(self):
+        """If upstream ends without ResponseCompletedEvent, terminal events still flow."""
+        from unittest.mock import MagicMock
+
+        text_event = self._make_text_delta("hi")
+        sync_iter = MagicMock()
+        sync_iter.__iter__ = lambda self: self
+        sync_iter.__next__ = MagicMock(side_effect=[text_event, StopIteration])
+
+        original = litellm.use_legacy_interactions_schema
+        litellm.use_legacy_interactions_schema = False
+        try:
+            it = LiteLLMResponsesInteractionsStreamingIterator(
+                model="gpt-5.4",
+                litellm_custom_stream_wrapper=sync_iter,
+                request_input="hi",
+                optional_params={},
+            )
+        finally:
+            litellm.use_legacy_interactions_schema = original
+
+        emitted: list = []
+        try:
+            while True:
+                emitted.append(next(it))
+        except StopIteration:
+            pass
+
+        event_types = [e.event_type for e in emitted]
+        assert event_types == [
+            "interaction.created",
+            "step.start",
+            "step.delta",
+            "step.stop",
+            "interaction.completed",
+        ]
+        terminal = emitted[-1]
+        assert terminal.steps == [
+            {
+                "type": "model_output",
+                "content": [{"type": "text", "text": "hi"}],
+            }
+        ]
+        # EOF-flushed terminal event must carry the same id as interaction.created.
+        assert terminal.id == emitted[0].id == "item_1"
+
+    def test_response_completed_emits_stop_then_completion(self):
+        """ResponseCompletedEvent expands into step.stop + interaction.completed."""
+        from unittest.mock import MagicMock
+
+        text_event = self._make_text_delta("hi")
+        completed = MagicMock(spec=ResponseCompletedEvent)
+        completed.response = MagicMock(id="resp_999")
+
+        sync_iter = MagicMock()
+        sync_iter.__iter__ = lambda self: self
+        sync_iter.__next__ = MagicMock(side_effect=[text_event, completed])
+
+        original = litellm.use_legacy_interactions_schema
+        litellm.use_legacy_interactions_schema = False
+        try:
+            it = LiteLLMResponsesInteractionsStreamingIterator(
+                model="gpt-5.4",
+                litellm_custom_stream_wrapper=sync_iter,
+                request_input="hi",
+                optional_params={},
+            )
+        finally:
+            litellm.use_legacy_interactions_schema = original
+
+        emitted: list = []
+        try:
+            while True:
+                emitted.append(next(it))
+        except StopIteration:
+            pass
+
+        event_types = [e.event_type for e in emitted]
+        assert event_types == [
+            "interaction.created",
+            "step.start",
+            "step.delta",
+            "step.stop",
+            "interaction.completed",
+        ]
+        # StopIteration fallback path must NOT add a duplicate completion event.
+        assert event_types.count("interaction.completed") == 1
+        # When the stream starts directly with a text delta (no preceding
+        # response.created), the terminal events must reuse the id derived from
+        # the first chunk's item_id rather than switching to response.id, so
+        # consumers can correlate the start and completion events by id.
+        assert emitted[0].id == "item_1"
+        assert emitted[-1].id == "item_1"
 
 
 class TestInteractionOperationUrls: