From e2fc22520146fb80547606a12fe9ca38f2f3dfcd Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Tue, 18 Nov 2025 15:35:38 -0800 Subject: [PATCH 01/89] [Feat] SSO - Ensure `role` from SSO provider is used when a user is inserted onto LiteLLM (#16794) * test_apply_user_info_values_sso_role_takes_precedence * fix SSO --- ...odel_prices_and_context_window_backup.json | 2 +- litellm/proxy/management_endpoints/ui_sso.py | 46 ++++++++++-- .../proxy/management_endpoints/test_ui_sso.py | 70 +++++++++++++++++++ 3 files changed, 112 insertions(+), 6 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index fa13c2f6a0b..351e01bc45e 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -13084,7 +13084,7 @@ "supports_audio_output": false, "supports_function_calling": true, "supports_response_schema": true, - "supports_system_messages": true, + "supports_system_messages": false, "supports_tool_choice": true, "supports_vision": true }, diff --git a/litellm/proxy/management_endpoints/ui_sso.py b/litellm/proxy/management_endpoints/ui_sso.py index 0add5c02cfb..44b593efea4 100644 --- a/litellm/proxy/management_endpoints/ui_sso.py +++ b/litellm/proxy/management_endpoints/ui_sso.py @@ -62,7 +62,11 @@ from litellm.proxy.management_endpoints.sso_helper_utils import ( has_admin_ui_access, ) from litellm.proxy.management_endpoints.team_endpoints import new_team, team_member_add -from litellm.proxy.management_endpoints.types import CustomOpenID, get_litellm_user_role +from litellm.proxy.management_endpoints.types import ( + CustomOpenID, + get_litellm_user_role, + is_valid_litellm_user_role, +) from litellm.proxy.utils import ( PrismaClient, ProxyLogging, @@ -554,6 +558,20 @@ async def get_user_info_from_db( return None +def _should_use_role_from_sso_response(sso_role: Optional[str]) -> bool: + """returns true if SSO upsert should use the 'role' defined on the SSO response""" + if sso_role is None: + return False + + if not is_valid_litellm_user_role(sso_role): + verbose_proxy_logger.debug( + f"SSO role '{sso_role}' is not a valid LiteLLM user role. " + "Ignoring role from SSO response. See LitellmUserRoles enum for valid roles." + ) + return False + return True + + def apply_user_info_values_to_sso_user_defined_values( user_info: Optional[Union[LiteLLM_UserTable, NewUserResponse]], @@ -564,12 +582,22 @@ def apply_user_info_values_to_sso_user_defined_values( if user_info is not None and user_info.user_id is not None: user_defined_values["user_id"] = user_info.user_id - # Check if user_role already exists in user_defined_values (from JWT/SSO response) - if user_defined_values.get("user_role") is None: + # SSO role takes precedence - only use DB role if SSO didn't provide one + # This ensures SSO is the authoritative source for user roles + sso_role = user_defined_values.get("user_role") + db_role = user_info.user_role if user_info else None + + if _should_use_role_from_sso_response(sso_role): + # SSO provided a valid role, keep it and log that we're using it + verbose_proxy_logger.info(f"Using SSO role: {sso_role} (DB role was: {db_role})") + else: + # SSO didn't provide a valid role, fall back to DB role or default if user_info is None or user_info.user_role is None: - user_defined_values["user_role"] = LitellmUserRoles.INTERNAL_USER_VIEW_ONLY + user_defined_values["user_role"] = LitellmUserRoles.INTERNAL_USER_VIEW_ONLY.value + verbose_proxy_logger.debug("No SSO or DB role found, using default: INTERNAL_USER_VIEW_ONLY") else: user_defined_values["user_role"] = user_info.user_role + verbose_proxy_logger.debug(f"Using DB role: {user_info.user_role}") # Preserve the user's existing models from the database if user_info is not None and hasattr(user_info, "models") and user_info.models: @@ -1540,7 +1568,15 @@ class SSOAuthenticationHandler: }, ) - # generic client id + # Extract user_role from result (works for all SSO providers) + if result is not None: + _user_role = getattr(result, "user_role", None) + if _user_role is not None: + # Convert enum to string if needed + user_role = _user_role.value if isinstance(_user_role, LitellmUserRoles) else _user_role + verbose_proxy_logger.debug(f"Extracted user_role from SSO result: {user_role}") + + # generic client id - override with custom attribute name if specified if generic_client_id is not None and result is not None: generic_user_role_attribute_name = os.getenv( "GENERIC_USER_ROLE_ATTRIBUTE", "role" diff --git a/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py b/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py index ccf8bf13e0e..4f5f4e0d858 100644 --- a/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py +++ b/tests/test_litellm/proxy/management_endpoints/test_ui_sso.py @@ -533,6 +533,75 @@ def test_apply_user_info_values_to_sso_user_defined_values_with_models(): assert sso_user_defined_values["models"] == ["no-default-models"] +def test_apply_user_info_values_sso_role_takes_precedence(): + """ + Test that SSO role takes precedence over DB role. + + When Microsoft SSO returns a user_role, it should be used instead of the role stored in the database. + This ensures SSO is the authoritative source for user roles. + """ + from litellm.proxy._types import LiteLLM_UserTable, SSOUserDefinedValues + from litellm.proxy.management_endpoints.ui_sso import ( + apply_user_info_values_to_sso_user_defined_values, + ) + + user_info = LiteLLM_UserTable( + user_id="123", + user_email="test@example.com", + user_role="internal_user_viewer", + models=["model-1"], + ) + + user_defined_values: SSOUserDefinedValues = { + "models": [], + "user_id": "456", + "user_email": "test@example.com", + "user_role": "proxy_admin_viewer", + "max_budget": None, + "budget_duration": None, + } + + sso_user_defined_values = apply_user_info_values_to_sso_user_defined_values( + user_info=user_info, + user_defined_values=user_defined_values, + ) + + assert sso_user_defined_values is not None + assert sso_user_defined_values["user_id"] == "123" + assert sso_user_defined_values["user_role"] == "proxy_admin_viewer" + assert sso_user_defined_values["models"] == ["model-1"] + + +def test_get_user_email_and_id_extracts_microsoft_role(): + """ + Test that _get_user_email_and_id_from_result extracts user_role from Microsoft SSO. + + This ensures Microsoft SSO roles (from app_roles in id_token) are properly + extracted and converted from enum to string. + """ + from litellm.proxy._types import LitellmUserRoles + from litellm.proxy.management_endpoints.types import CustomOpenID + from litellm.proxy.management_endpoints.ui_sso import SSOAuthenticationHandler + + result = CustomOpenID( + id="test-user-id", + email="test@example.com", + display_name="Test User", + provider="microsoft", + team_ids=["team-1"], + user_role=LitellmUserRoles.PROXY_ADMIN_VIEW_ONLY, + ) + + parsed = SSOAuthenticationHandler._get_user_email_and_id_from_result( + result=result, + generic_client_id=None, + ) + + assert parsed.get("user_email") == "test@example.com" + assert parsed.get("user_id") == "test-user-id" + assert parsed.get("user_role") == "proxy_admin_viewer" + + @pytest.mark.asyncio async def test_get_user_info_from_db(): """ @@ -2068,6 +2137,7 @@ class TestProcessSSOJWTAccessToken: async def test_get_ui_settings_includes_api_doc_base_url(): """Ensure the UI settings endpoint surfaces the optional API doc override.""" from fastapi import Request + from litellm.proxy.management_endpoints.ui_sso import get_ui_settings mock_request = Request( From 35ab0e109ce415994804ff662abc7469778b2058 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Tue, 18 Nov 2025 16:00:36 -0800 Subject: [PATCH 02/89] [Docs] SSO - Manage User Roles via Azure App Roles (#16796) * add img 2 * add app roles * docs --- docs/my-website/docs/proxy/admin_ui_sso.md | 51 +++++++++++++++++++++ docs/my-website/img/app_role2.png | Bin 0 -> 261882 bytes docs/my-website/img/app_role3.png | Bin 0 -> 178378 bytes docs/my-website/img/app_roles.png | Bin 0 -> 283297 bytes 4 files changed, 51 insertions(+) create mode 100644 docs/my-website/img/app_role2.png create mode 100644 docs/my-website/img/app_role3.png create mode 100644 docs/my-website/img/app_roles.png diff --git a/docs/my-website/docs/proxy/admin_ui_sso.md b/docs/my-website/docs/proxy/admin_ui_sso.md index ae082848b6b..0438c264685 100644 --- a/docs/my-website/docs/proxy/admin_ui_sso.md +++ b/docs/my-website/docs/proxy/admin_ui_sso.md @@ -380,3 +380,54 @@ If you need to inspect the JWT fields received from your SSO provider by LiteLLM Once redirected, you should see a page called "SSO Debug Information". This page displays the JWT fields received from your SSO provider (as shown in the image above) + +## Advanced + +### Manage User Roles via Azure App Roles + +Centralize role management by defining user permissions in Azure Entra ID. LiteLLM will automatically assign roles based on your Azure configuration when users sign in—no need to manually manage roles in LiteLLM. + +#### Step 1: Create App Roles on Azure App Registration + +1. Navigate to your App Registration on https://portal.azure.com/ +2. Go to **App roles** > **Create app role** +3. Configure the app role using one of the [supported LiteLLM roles](./access_control.md#global-proxy-roles): + - **Display name**: Admin Viewer (or your preferred display name) + - **Value**: `proxy_admin_viewer` (must match one of the LiteLLM role values exactly) +4. Click **Apply** to save the role +5. Repeat for each LiteLLM role you want to use + + +**Supported LiteLLM role values** (see [full role documentation](./access_control.md#global-proxy-roles)): +- `proxy_admin` - Full admin access +- `proxy_admin_viewer` - Read-only admin access +- `internal_user` - Can create/view/delete own keys +- `internal_user_viewer` - Can view own keys (read-only) + + + +--- + +#### Step 2: Assign Users to App Roles + +1. Navigate to **Enterprise Applications** on https://portal.azure.com/ +2. Select your LiteLLM application +3. Go to **Users and groups** > **Add user/group** +4. Select the user +5. Under **Select a role**, choose the app role you created (e.g., `proxy_admin_viewer`) +6. Click **Assign** to save + + + +--- + +#### Step 3: Sign in and verify + +1. Sign in to the LiteLLM UI via SSO +2. LiteLLM will automatically extract the app role from the JWT token +3. The user will be assigned the corresponding role (you can verify this in the UI by checking the user profile dropdown) + + + +**Note:** The role from Entra ID will take precedence over any existing role in the LiteLLM database. 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70e1e83102cc110e3d0344d67cf35c57b6c7e0db Mon Sep 17 00:00:00 2001 From: Krish Dholakia Date: Tue, 18 Nov 2025 17:36:26 -0800 Subject: [PATCH 03/89] feat(managed_files.py): support /delete for files + feat(managed_batches): support /cancel for batches (#16387) * feat(managed_files.py): initial commit fixing managed file delete on litellm * fix(managed_files.py): fix file delete * feat(batches_endpoints/endpoints.py): fix cancelling a batch ensures managed batches works --------- Co-authored-by: Ishaan Jaffer --- .../proxy/hooks/managed_files.py | 12 +- litellm/batches/main.py | 76 ++++++++---- litellm/files/main.py | 28 +++-- .../proxy/_experimental/out/logs/index.html | 6 +- .../out/models-and-endpoints/index.html | 6 +- .../out/organizations/index.html | 6 +- .../proxy/_experimental/out/usage/index.html | 6 +- .../proxy/_experimental/out/users/index.html | 6 +- .../_experimental/out/virtual-keys/index.html | 6 +- litellm/proxy/_new_secret_config.yaml | 2 +- litellm/proxy/batches_endpoints/endpoints.py | 43 +++++-- .../openai_files_endpoints/files_endpoints.py | 8 +- litellm/router.py | 108 +++++++++++------- 13 files changed, 218 insertions(+), 95 deletions(-) diff --git a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py index 20b850191dd..608bb495885 100644 --- a/enterprise/litellm_enterprise/proxy/hooks/managed_files.py +++ b/enterprise/litellm_enterprise/proxy/hooks/managed_files.py @@ -529,7 +529,6 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): for file_id in file_ids: ## CHECK IF FILE ID IS MANAGED BY LITELM is_base64_unified_file_id = _is_base64_encoded_unified_file_id(file_id) - if is_base64_unified_file_id: litellm_managed_file_ids.append(file_id) @@ -540,6 +539,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): unified_file_object = await self.get_unified_file_id( file_id, litellm_parent_otel_span ) + if unified_file_object: file_id_mapping[file_id] = unified_file_object.model_mappings @@ -815,18 +815,21 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): llm_router: Router, **data: Dict, ) -> OpenAIFileObject: - file_id = convert_b64_uid_to_unified_uid(file_id) + + # file_id = convert_b64_uid_to_unified_uid(file_id) model_file_id_mapping = await self.get_model_file_id_mapping( [file_id], litellm_parent_otel_span ) + specific_model_file_id_mapping = model_file_id_mapping.get(file_id) if specific_model_file_id_mapping: - for model_id, file_id in specific_model_file_id_mapping.items(): - await llm_router.afile_delete(model=model_id, file_id=file_id, **data) # type: ignore + for model_id, model_file_id in specific_model_file_id_mapping.items(): + await llm_router.afile_delete(model=model_id, file_id=model_file_id, **data) # type: ignore stored_file_object = await self.delete_unified_file_id( file_id, litellm_parent_otel_span ) + if stored_file_object: return stored_file_object else: @@ -847,6 +850,7 @@ class _PROXY_LiteLLMManagedFiles(CustomLogger, BaseFileEndpoints): model_file_id_mapping or await self.get_model_file_id_mapping([file_id], litellm_parent_otel_span) ) + specific_model_file_id_mapping = model_file_id_mapping.get(file_id) if specific_model_file_id_mapping: diff --git a/litellm/batches/main.py b/litellm/batches/main.py index 48521e5fba0..5279dd70bc4 100644 --- a/litellm/batches/main.py +++ b/litellm/batches/main.py @@ -17,6 +17,8 @@ from functools import partial from typing import Any, Coroutine, Dict, Literal, Optional, Union, cast import httpx +from openai.types.batch import BatchRequestCounts +from openai.types.batch import Metadata as BatchMetadata import litellm from litellm._logging import verbose_logger @@ -223,10 +225,12 @@ def create_batch( api_key=optional_params.api_key, logging_obj=litellm_logging_obj, _is_async=_is_async, - client=client - if client is not None - and isinstance(client, (HTTPHandler, AsyncHTTPHandler)) - else None, + client=( + client + if client is not None + and isinstance(client, (HTTPHandler, AsyncHTTPHandler)) + else None + ), timeout=timeout, model=model, ) @@ -609,10 +613,12 @@ def retrieve_batch( function_id="batch_retrieve", ), _is_async=_is_async, - client=client - if client is not None - and isinstance(client, (HTTPHandler, AsyncHTTPHandler)) - else None, + client=( + client + if client is not None + and isinstance(client, (HTTPHandler, AsyncHTTPHandler)) + else None + ), timeout=timeout, model=model, ) @@ -799,6 +805,7 @@ def list_batches( async def acancel_batch( batch_id: str, + model: Optional[str] = None, custom_llm_provider: Literal["openai", "azure"] = "openai", metadata: Optional[Dict[str, str]] = None, extra_headers: Optional[Dict[str, str]] = None, @@ -813,11 +820,13 @@ async def acancel_batch( try: loop = asyncio.get_event_loop() kwargs["acancel_batch"] = True + model = kwargs.pop("model", None) # Use a partial function to pass your keyword arguments func = partial( cancel_batch, batch_id, + model, custom_llm_provider, metadata, extra_headers, @@ -840,7 +849,8 @@ async def acancel_batch( def cancel_batch( batch_id: str, - custom_llm_provider: Literal["openai", "azure"] = "openai", + model: Optional[str] = None, + custom_llm_provider: Union[Literal["openai", "azure"], str] = "openai", metadata: Optional[Dict[str, str]] = None, extra_headers: Optional[Dict[str, str]] = None, extra_body: Optional[Dict[str, str]] = None, @@ -852,6 +862,17 @@ def cancel_batch( LiteLLM Equivalent of POST https://api.openai.com/v1/batches/{batch_id}/cancel """ try: + + try: + if model is not None: + _, custom_llm_provider, _, _ = get_llm_provider( + model=model, + custom_llm_provider=custom_llm_provider, + ) + except Exception as e: + verbose_logger.exception( + f"litellm.batches.main.py::cancel_batch() - Error inferring custom_llm_provider - {str(e)}" + ) optional_params = GenericLiteLLMParams(**kwargs) litellm_params = get_litellm_params( custom_llm_provider=custom_llm_provider, @@ -1005,21 +1026,28 @@ def _handle_async_invoke_status( created_at=status_response["submitTime"], in_progress_at=status_response["lastModifiedTime"], completed_at=status_response.get("endTime"), - failed_at=status_response.get("endTime") - if status_response["status"] == "failed" - else None, - request_counts={ - "total": 1, - "completed": 1 if status_response["status"] == "completed" else 0, - "failed": 1 if status_response["status"] == "failed" else 0, - }, - metadata={ - "output_file_id": status_response["outputDataConfig"][ - "s3OutputDataConfig" - ]["s3Uri"], - "failure_message": status_response.get("failureMessage"), - "model_arn": status_response["modelArn"], - }, + failed_at=( + status_response.get("endTime") + if status_response["status"] == "failed" + else None + ), + request_counts=BatchRequestCounts( + total=1, + completed=1 if status_response["status"] == "completed" else 0, + failed=1 if status_response["status"] == "failed" else 0, + ), + metadata=dict( + **{ + "output_file_id": status_response["outputDataConfig"][ + "s3OutputDataConfig" + ]["s3Uri"], + "failure_message": status_response.get("failureMessage") or "", + "model_arn": status_response["modelArn"], + } + ), + completion_window="24h", + endpoint="/v1/embeddings", + input_file_id="", ) return result diff --git a/litellm/files/main.py b/litellm/files/main.py index 9c85fa10565..535772fa42c 100644 --- a/litellm/files/main.py +++ b/litellm/files/main.py @@ -95,7 +95,9 @@ async def acreate_file( def create_file( file: FileTypes, purpose: Literal["assistants", "batch", "fine-tune"], - custom_llm_provider: Optional[Literal["openai", "azure", "vertex_ai", "bedrock"]] = None, + custom_llm_provider: Optional[ + Literal["openai", "azure", "vertex_ai", "bedrock"] + ] = None, extra_headers: Optional[Dict[str, str]] = None, extra_body: Optional[Dict[str, str]] = None, **kwargs, @@ -155,10 +157,12 @@ def create_file( api_key=optional_params.api_key, logging_obj=logging_obj, _is_async=_is_async, - client=client - if client is not None - and isinstance(client, (HTTPHandler, AsyncHTTPHandler)) - else None, + client=( + client + if client is not None + and isinstance(client, (HTTPHandler, AsyncHTTPHandler)) + else None + ), timeout=timeout, ) elif custom_llm_provider == "openai": @@ -441,12 +445,14 @@ async def afile_delete( """ try: loop = asyncio.get_event_loop() + model = kwargs.pop("model", None) kwargs["is_async"] = True # Use a partial function to pass your keyword arguments func = partial( file_delete, file_id, + model, custom_llm_provider, extra_headers, extra_body, @@ -470,7 +476,8 @@ async def afile_delete( @client def file_delete( file_id: str, - custom_llm_provider: Literal["openai", "azure"] = "openai", + model: Optional[str] = None, + custom_llm_provider: Union[Literal["openai", "azure"], str] = "openai", extra_headers: Optional[Dict[str, str]] = None, extra_body: Optional[Dict[str, str]] = None, **kwargs, @@ -481,6 +488,13 @@ def file_delete( LiteLLM Equivalent of DELETE https://api.openai.com/v1/files """ try: + try: + if model is not None: + _, custom_llm_provider, _, _ = get_llm_provider( + model, custom_llm_provider + ) + except Exception: + pass optional_params = GenericLiteLLMParams(**kwargs) litellm_params_dict = get_litellm_params(**kwargs) ### TIMEOUT LOGIC ### @@ -566,7 +580,7 @@ def file_delete( ) else: raise litellm.exceptions.BadRequestError( - message="LiteLLM doesn't support {} for 'create_batch'. Only 'openai' is supported.".format( + message="LiteLLM doesn't support {} for 'delete_batch'. Only 'openai' is supported.".format( custom_llm_provider ), model="n/a", diff --git a/litellm/proxy/_experimental/out/logs/index.html b/litellm/proxy/_experimental/out/logs/index.html index cf72e090004..05f063f3318 100644 --- a/litellm/proxy/_experimental/out/logs/index.html +++ b/litellm/proxy/_experimental/out/logs/index.html @@ -1 +1,5 @@ -LiteLLM Dashboard \ No newline at end of file +<<<<<<< HEAD +LiteLLM Dashboard +======= +LiteLLM Dashboard +>>>>>>> main diff --git a/litellm/proxy/_experimental/out/models-and-endpoints/index.html b/litellm/proxy/_experimental/out/models-and-endpoints/index.html index 2b17150be37..3a7caf6b4cf 100644 --- a/litellm/proxy/_experimental/out/models-and-endpoints/index.html +++ b/litellm/proxy/_experimental/out/models-and-endpoints/index.html @@ -1 +1,5 @@ -LiteLLM Dashboard \ No newline at end of file +<<<<<<< HEAD +LiteLLM Dashboard +======= +LiteLLM Dashboard +>>>>>>> main diff --git a/litellm/proxy/_experimental/out/organizations/index.html b/litellm/proxy/_experimental/out/organizations/index.html index 27366353935..70d80f2afbf 100644 --- a/litellm/proxy/_experimental/out/organizations/index.html +++ b/litellm/proxy/_experimental/out/organizations/index.html @@ -1 +1,5 @@ -LiteLLM Dashboard \ No newline at end of file +<<<<<<< HEAD +LiteLLM Dashboard +======= +LiteLLM Dashboard +>>>>>>> main diff --git a/litellm/proxy/_experimental/out/usage/index.html b/litellm/proxy/_experimental/out/usage/index.html index cbad0e19abd..6f43e533358 100644 --- a/litellm/proxy/_experimental/out/usage/index.html +++ b/litellm/proxy/_experimental/out/usage/index.html @@ -1 +1,5 @@ -LiteLLM Dashboard \ No newline at end of file +<<<<<<< HEAD +LiteLLM Dashboard +======= +LiteLLM Dashboard +>>>>>>> main diff --git a/litellm/proxy/_experimental/out/users/index.html b/litellm/proxy/_experimental/out/users/index.html index ff413f5df14..3d494330df8 100644 --- a/litellm/proxy/_experimental/out/users/index.html +++ b/litellm/proxy/_experimental/out/users/index.html @@ -1 +1,5 @@ -LiteLLM Dashboard \ No newline at end of file +<<<<<<< HEAD +LiteLLM Dashboard +======= +LiteLLM Dashboard +>>>>>>> main diff --git a/litellm/proxy/_experimental/out/virtual-keys/index.html b/litellm/proxy/_experimental/out/virtual-keys/index.html index f502674f0f6..dd0c5b1da6a 100644 --- a/litellm/proxy/_experimental/out/virtual-keys/index.html +++ b/litellm/proxy/_experimental/out/virtual-keys/index.html @@ -1 +1,5 @@ -LiteLLM Dashboard \ No newline at end of file +<<<<<<< HEAD +LiteLLM Dashboard +======= +LiteLLM Dashboard +>>>>>>> main diff --git a/litellm/proxy/_new_secret_config.yaml b/litellm/proxy/_new_secret_config.yaml index 901e2bf0c57..f5a71bc486f 100644 --- a/litellm/proxy/_new_secret_config.yaml +++ b/litellm/proxy/_new_secret_config.yaml @@ -1,7 +1,7 @@ model_list: - model_name: gpt-5-mini litellm_params: - model: bedrock/global.anthropic.claude-sonnet-4-5-20250929-v1:0 + model: gpt-5-mini - model_name: embedding-model litellm_params: model: openai/text-embedding-3-large diff --git a/litellm/proxy/batches_endpoints/endpoints.py b/litellm/proxy/batches_endpoints/endpoints.py index 2fc0298d1c8..ac7082edb69 100644 --- a/litellm/proxy/batches_endpoints/endpoints.py +++ b/litellm/proxy/batches_endpoints/endpoints.py @@ -22,6 +22,9 @@ from litellm.proxy.common_utils.openai_endpoint_utils import ( ) from litellm.proxy.openai_files_endpoints.common_utils import ( _is_base64_encoded_unified_file_id, + convert_b64_uid_to_unified_uid, + get_batch_id_from_unified_batch_id, + get_model_id_from_unified_batch_id, get_models_from_unified_file_id, ) from litellm.proxy.utils import handle_exception_on_proxy, is_known_model @@ -506,6 +509,7 @@ async def cancel_batch( from litellm.proxy.proxy_server import ( add_litellm_data_to_request, general_settings, + llm_router, proxy_config, proxy_logging_obj, version, @@ -517,6 +521,7 @@ async def cancel_batch( verbose_proxy_logger.debug( "Request received by LiteLLM:\n{}".format(json.dumps(data, indent=4)), ) + unified_batch_id = _is_base64_encoded_unified_file_id(batch_id) # Include original request and headers in the data data = await add_litellm_data_to_request( @@ -528,14 +533,36 @@ async def cancel_batch( proxy_config=proxy_config, ) - custom_llm_provider = ( - provider or data.pop("custom_llm_provider", None) or "openai" - ) - _cancel_batch_data = CancelBatchRequest(batch_id=batch_id, **data) - response = await litellm.acancel_batch( - custom_llm_provider=custom_llm_provider, # type: ignore - **_cancel_batch_data, - ) + if unified_batch_id: + if llm_router is None: + raise HTTPException( + status_code=500, + detail={ + "error": "LLM Router not initialized. Ensure models added to proxy." + }, + ) + + model = ( + get_model_id_from_unified_batch_id(unified_batch_id) + if unified_batch_id + else None + ) + + model_batch_id = get_batch_id_from_unified_batch_id(unified_batch_id) + + data["batch_id"] = model_batch_id + + response = await llm_router.acancel_batch(model=model, **data) # type: ignore + else: + + custom_llm_provider = ( + provider or data.pop("custom_llm_provider", None) or "openai" + ) + _cancel_batch_data = CancelBatchRequest(batch_id=batch_id, **data) + response = await litellm.acancel_batch( + custom_llm_provider=custom_llm_provider, # type: ignore + **_cancel_batch_data, + ) ### ALERTING ### asyncio.create_task( diff --git a/litellm/proxy/openai_files_endpoints/files_endpoints.py b/litellm/proxy/openai_files_endpoints/files_endpoints.py index 043b0c886e9..b0be5476136 100644 --- a/litellm/proxy/openai_files_endpoints/files_endpoints.py +++ b/litellm/proxy/openai_files_endpoints/files_endpoints.py @@ -31,8 +31,8 @@ from litellm.proxy.auth.user_api_key_auth import user_api_key_auth from litellm.proxy.common_request_processing import ProxyBaseLLMRequestProcessing from litellm.proxy.common_utils.openai_endpoint_utils import ( get_custom_llm_provider_from_request_body, - get_custom_llm_provider_from_request_query, get_custom_llm_provider_from_request_headers, + get_custom_llm_provider_from_request_query, ) from litellm.proxy.utils import ProxyLogging, is_known_model from litellm.router import Router @@ -788,6 +788,7 @@ async def delete_file( param="None", code=500, ) + response = await managed_files_obj.afile_delete( file_id=file_id, litellm_parent_otel_span=user_api_key_dict.parent_otel_span, @@ -828,12 +829,11 @@ async def delete_file( await proxy_logging_obj.post_call_failure_hook( user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data ) - verbose_proxy_logger.error( - "litellm.proxy.proxy_server.retrieve_file(): Exception occured - {}".format( + verbose_proxy_logger.exception( + "litellm.proxy.proxy_server.delete_file(): Exception occured - {}".format( str(e) ) ) - verbose_proxy_logger.debug(traceback.format_exc()) if isinstance(e, HTTPException): raise ProxyException( message=getattr(e, "message", str(e.detail)), diff --git a/litellm/router.py b/litellm/router.py index 64c663f8ab1..998e19739b7 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -376,9 +376,9 @@ class Router: ) # names of models under litellm_params. ex. azure/chatgpt-v-2 self.deployment_latency_map = {} ### CACHING ### - cache_type: Literal[ - "local", "redis", "redis-semantic", "s3", "disk" - ] = "local" # default to an in-memory cache + cache_type: Literal["local", "redis", "redis-semantic", "s3", "disk"] = ( + "local" # default to an in-memory cache + ) redis_cache = None cache_config: Dict[str, Any] = {} @@ -420,9 +420,9 @@ class Router: self.default_max_parallel_requests = default_max_parallel_requests self.provider_default_deployment_ids: List[str] = [] self.pattern_router = PatternMatchRouter() - self.team_pattern_routers: Dict[ - str, PatternMatchRouter - ] = {} # {"TEAM_ID": PatternMatchRouter} + self.team_pattern_routers: Dict[str, PatternMatchRouter] = ( + {} + ) # {"TEAM_ID": PatternMatchRouter} self.auto_routers: Dict[str, "AutoRouter"] = {} # Initialize model_group_alias early since it's used in set_model_list @@ -603,9 +603,9 @@ class Router: ) ) - self.model_group_retry_policy: Optional[ - Dict[str, RetryPolicy] - ] = model_group_retry_policy + self.model_group_retry_policy: Optional[Dict[str, RetryPolicy]] = ( + model_group_retry_policy + ) self.allowed_fails_policy: Optional[AllowedFailsPolicy] = None if allowed_fails_policy is not None: @@ -831,6 +831,9 @@ class Router: self.allm_passthrough_route = self.factory_function( litellm.allm_passthrough_route, call_type="allm_passthrough_route" ) + self.acancel_batch = self.factory_function( + litellm.acancel_batch, call_type="acancel_batch" + ) def _initialize_specialized_endpoints(self): """Helper to initialize specialized router endpoints (vector store, OCR, search, video, container).""" @@ -851,18 +854,36 @@ class Router: from litellm.vector_store_files.main import ( acreate as avector_store_file_create_fn, - alist as avector_store_file_list_fn, - aretrieve as avector_store_file_retrieve_fn, - aretrieve_content as avector_store_file_content_fn, - aupdate as avector_store_file_update_fn, + ) + from litellm.vector_store_files.main import ( adelete as avector_store_file_delete_fn, + ) + from litellm.vector_store_files.main import alist as avector_store_file_list_fn + from litellm.vector_store_files.main import ( + aretrieve as avector_store_file_retrieve_fn, + ) + from litellm.vector_store_files.main import ( + aretrieve_content as avector_store_file_content_fn, + ) + from litellm.vector_store_files.main import ( + aupdate as avector_store_file_update_fn, + ) + from litellm.vector_store_files.main import ( create as vector_store_file_create_fn, - list as vector_store_file_list_fn, - retrieve as vector_store_file_retrieve_fn, - retrieve_content as vector_store_file_content_fn, - update as vector_store_file_update_fn, + ) + from litellm.vector_store_files.main import ( delete as vector_store_file_delete_fn, ) + from litellm.vector_store_files.main import list as vector_store_file_list_fn + from litellm.vector_store_files.main import ( + retrieve as vector_store_file_retrieve_fn, + ) + from litellm.vector_store_files.main import ( + retrieve_content as vector_store_file_content_fn, + ) + from litellm.vector_store_files.main import ( + update as vector_store_file_update_fn, + ) self.avector_store_file_create = self.factory_function( avector_store_file_create_fn, call_type="avector_store_file_create" ) @@ -1366,7 +1387,10 @@ class Router: async def _acompletion( self, model: str, messages: List[Dict[str, str]], **kwargs - ) -> Union[ModelResponse, CustomStreamWrapper,]: + ) -> Union[ + ModelResponse, + CustomStreamWrapper, + ]: """ - Get an available deployment - call it with a semaphore over the call @@ -3387,9 +3411,9 @@ class Router: healthy_deployments=healthy_deployments, responses=responses ) returned_response = cast(OpenAIFileObject, responses[0]) - returned_response._hidden_params[ - "model_file_id_mapping" - ] = model_file_id_mapping + returned_response._hidden_params["model_file_id_mapping"] = ( + model_file_id_mapping + ) return returned_response except Exception as e: verbose_router_logger.exception( @@ -3722,6 +3746,7 @@ class Router: "afile_delete", "afile_content", "_arealtime", + "acancel_batch", "acreate_fine_tuning_job", "acancel_fine_tuning_job", "alist_fine_tuning_jobs", @@ -3891,7 +3916,8 @@ class Router: "acreate_container", "alist_containers", "aretrieve_container", - "adelete_container" + "adelete_container", + "acancel_batch", ): return await self._ageneric_api_call_with_fallbacks( original_function=original_function, @@ -4048,11 +4074,11 @@ class Router: if isinstance(e, litellm.ContextWindowExceededError): if context_window_fallbacks is not None: - context_window_fallback_model_group: Optional[ - List[str] - ] = self._get_fallback_model_group_from_fallbacks( - fallbacks=context_window_fallbacks, - model_group=model_group, + context_window_fallback_model_group: Optional[List[str]] = ( + self._get_fallback_model_group_from_fallbacks( + fallbacks=context_window_fallbacks, + model_group=model_group, + ) ) if context_window_fallback_model_group is None: raise original_exception @@ -4084,11 +4110,11 @@ class Router: e.message += "\n{}".format(error_message) elif isinstance(e, litellm.ContentPolicyViolationError): if content_policy_fallbacks is not None: - content_policy_fallback_model_group: Optional[ - List[str] - ] = self._get_fallback_model_group_from_fallbacks( - fallbacks=content_policy_fallbacks, - model_group=model_group, + content_policy_fallback_model_group: Optional[List[str]] = ( + self._get_fallback_model_group_from_fallbacks( + fallbacks=content_policy_fallbacks, + model_group=model_group, + ) ) if content_policy_fallback_model_group is None: raise original_exception @@ -5343,26 +5369,26 @@ class Router: """ from litellm.router_strategy.auto_router.auto_router import AutoRouter - auto_router_config_path: Optional[ - str - ] = deployment.litellm_params.auto_router_config_path + auto_router_config_path: Optional[str] = ( + deployment.litellm_params.auto_router_config_path + ) auto_router_config: Optional[str] = deployment.litellm_params.auto_router_config if auto_router_config_path is None and auto_router_config is None: raise ValueError( "auto_router_config_path or auto_router_config is required for auto-router deployments. Please set it in the litellm_params" ) - default_model: Optional[ - str - ] = deployment.litellm_params.auto_router_default_model + default_model: Optional[str] = ( + deployment.litellm_params.auto_router_default_model + ) if default_model is None: raise ValueError( "auto_router_default_model is required for auto-router deployments. Please set it in the litellm_params" ) - embedding_model: Optional[ - str - ] = deployment.litellm_params.auto_router_embedding_model + embedding_model: Optional[str] = ( + deployment.litellm_params.auto_router_embedding_model + ) if embedding_model is None: raise ValueError( "auto_router_embedding_model is required for auto-router deployments. Please set it in the litellm_params" From 2880cb45a2110b4707be23c54cd5680d20be1739 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Tue, 18 Nov 2025 17:36:38 -0800 Subject: [PATCH 04/89] [Fix] AI Gateway Auth - Ensure Team Tags works when using JWT Auth (#16797) * fix setting team_metadata * test_team_metadata_with_tags_flows_through_jwt_auth --- litellm/proxy/auth/user_api_key_auth.py | 1 + .../proxy/auth/test_user_api_key_auth.py | 49 ++++++++++++++++++- 2 files changed, 49 insertions(+), 1 deletion(-) diff --git a/litellm/proxy/auth/user_api_key_auth.py b/litellm/proxy/auth/user_api_key_auth.py index c9589cd7746..05d0006300b 100644 --- a/litellm/proxy/auth/user_api_key_auth.py +++ b/litellm/proxy/auth/user_api_key_auth.py @@ -584,6 +584,7 @@ async def _user_api_key_auth_builder( # noqa: PLR0915 if team_membership is not None else None ), + team_metadata=team_object.metadata if team_object is not None else None, ) # run through common checks _ = await common_checks( diff --git a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py index baf8bcfea35..9905ae5d355 100644 --- a/tests/test_litellm/proxy/auth/test_user_api_key_auth.py +++ b/tests/test_litellm/proxy/auth/test_user_api_key_auth.py @@ -13,8 +13,8 @@ from unittest.mock import MagicMock import pytest -from litellm.proxy.auth.user_api_key_auth import get_api_key from litellm.proxy.auth.route_checks import RouteChecks +from litellm.proxy.auth.user_api_key_auth import get_api_key def test_get_api_key(): @@ -59,6 +59,53 @@ def test_get_api_key_with_custom_litellm_key_header( ) == (api_key, passed_in_key) +def test_team_metadata_with_tags_flows_through_jwt_auth(): + """ + Test that team_metadata (specifically tags) flows through JWT authentication. + + This is a regression test for the issue where JWT auth was not populating + team_metadata, causing team-level tags to be missing in litellm_pre_call_utils.py + """ + from litellm.proxy._types import LiteLLM_TeamTable, UserAPIKeyAuth + + # Create a team object with metadata containing tags + team_object = LiteLLM_TeamTable( + team_id="test-team-id", + team_alias="test-team-alias", + metadata={"tags": ["production", "high-priority"], "department": "engineering"}, + tpm_limit=1000, + rpm_limit=100, + models=["gpt-4", "gpt-3.5-turbo"], + ) + + # Simulate constructing UserAPIKeyAuth like we do in JWT auth + # This is the pattern from user_api_key_auth.py lines 552-587 + user_api_key_auth = UserAPIKeyAuth( + api_key=None, + team_id=team_object.team_id, + team_tpm_limit=team_object.tpm_limit if team_object is not None else None, + team_rpm_limit=team_object.rpm_limit if team_object is not None else None, + team_models=team_object.models if team_object is not None else [], + team_metadata=team_object.metadata if team_object is not None else None, + user_role="internal_user", + user_id="test-user", + ) + + # Verify team_metadata is set + assert user_api_key_auth.team_metadata is not None, "team_metadata should be populated" + assert user_api_key_auth.team_metadata == team_object.metadata, ( + f"team_metadata not correctly mapped. " + f"Expected: {team_object.metadata}, Got: {user_api_key_auth.team_metadata}" + ) + + # Specifically verify tags are present + assert "tags" in user_api_key_auth.team_metadata, "tags should be in team_metadata" + assert user_api_key_auth.team_metadata["tags"] == ["production", "high-priority"], ( + f"tags not correctly mapped. " + f"Expected: ['production', 'high-priority'], Got: {user_api_key_auth.team_metadata.get('tags')}" + ) + + def test_route_checks_is_llm_api_route(): """Test RouteChecks.is_llm_api_route() correctly identifies LLM API routes including passthrough endpoints""" From c3c6cef6d8df3f4ddcd9eb9557ef965db4d20feb Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Tue, 18 Nov 2025 17:39:28 -0800 Subject: [PATCH 05/89] [Fix] Fixes Swagger UI resolver errors for chat completion endpoints caused by Pydantic v2 `$defs` not being properly exposed in the OpenAPI schema. (#16784) * fix add_request_body_to_paths * test_move_defs_to_components --- .../proxy/common_utils/custom_openapi_spec.py | 73 +++++++++++++++++-- .../common_utils/test_custom_openapi_spec.py | 64 +++++++++++++++- 2 files changed, 131 insertions(+), 6 deletions(-) diff --git a/litellm/proxy/common_utils/custom_openapi_spec.py b/litellm/proxy/common_utils/custom_openapi_spec.py index d57dde04590..c448742f6dc 100644 --- a/litellm/proxy/common_utils/custom_openapi_spec.py +++ b/litellm/proxy/common_utils/custom_openapi_spec.py @@ -93,6 +93,11 @@ class CustomOpenAPISpec: schema_properties = actual_schema.get("properties", {}) required_fields = actual_schema.get("required", []) + # Extract $defs and add them to components/schemas + # This fixes Pydantic v2 $defs not being resolvable in Swagger/OpenAPI + if "$defs" in actual_schema: + CustomOpenAPISpec._move_defs_to_components(openapi_schema, actual_schema["$defs"]) + # Create an expanded inline schema instead of just a $ref # This makes Swagger UI show all individual fields in the request body editor expanded_schema = { @@ -105,6 +110,9 @@ class CustomOpenAPISpec: for field_name, field_def in schema_properties.items(): expanded_field = CustomOpenAPISpec._expand_field_definition(field_def) + # Rewrite $defs references to use components/schemas instead + expanded_field = CustomOpenAPISpec._rewrite_defs_refs(expanded_field) + # Add a simple example for the messages field if field_name == "messages": expanded_field["example"] = [ @@ -113,11 +121,6 @@ class CustomOpenAPISpec: expanded_schema["properties"][field_name] = expanded_field - # Include $defs from the original schema to support complex types like AllMessageValues - # This ensures that message types and other complex union types work properly - if "$defs" in actual_schema: - expanded_schema["$defs"] = actual_schema["$defs"] - # Set the request body with the expanded schema openapi_schema["paths"][path]["post"]["requestBody"] = { "required": True, @@ -138,6 +141,66 @@ class CustomOpenAPISpec: ] openapi_schema["paths"][path]["post"]["parameters"] = filtered_params + @staticmethod + def _move_defs_to_components(openapi_schema: Dict[str, Any], defs: Dict[str, Any]) -> None: + """ + Move $defs from Pydantic v2 schema to OpenAPI components/schemas. + This makes the definitions resolvable in Swagger/OpenAPI viewers. + + Args: + openapi_schema: The OpenAPI schema dict to modify + defs: The $defs dictionary from Pydantic schema + """ + if not defs: + return + + # Ensure components/schemas exists + if "components" not in openapi_schema: + openapi_schema["components"] = {} + if "schemas" not in openapi_schema["components"]: + openapi_schema["components"]["schemas"] = {} + + # Add each definition to components/schemas + for def_name, def_schema in defs.items(): + # Recursively rewrite any nested $defs references within this definition + rewritten_def = CustomOpenAPISpec._rewrite_defs_refs(def_schema) + openapi_schema["components"]["schemas"][def_name] = rewritten_def + + # If this definition also has $defs, process them recursively + if "$defs" in def_schema: + CustomOpenAPISpec._move_defs_to_components(openapi_schema, def_schema["$defs"]) + + @staticmethod + def _rewrite_defs_refs(schema: Any) -> Any: + """ + Recursively rewrite $ref values from #/$defs/... to #/components/schemas/... + This converts Pydantic v2 references to OpenAPI-compatible references. + + Args: + schema: Schema object to process (can be dict, list, or primitive) + + Returns: + Schema with rewritten references + """ + if isinstance(schema, dict): + result = {} + for key, value in schema.items(): + if key == "$ref" and isinstance(value, str) and value.startswith("#/$defs/"): + # Rewrite the reference to use components/schemas + def_name = value.replace("#/$defs/", "") + result[key] = f"#/components/schemas/{def_name}" + elif key == "$defs": + # Remove $defs from the schema since they're moved to components + continue + else: + # Recursively process nested structures + result[key] = CustomOpenAPISpec._rewrite_defs_refs(value) + return result + elif isinstance(schema, list): + return [CustomOpenAPISpec._rewrite_defs_refs(item) for item in schema] + else: + return schema + @staticmethod def _extract_field_schema(field_def: Dict[str, Any]) -> Dict[str, Any]: """ diff --git a/tests/test_litellm/proxy/common_utils/test_custom_openapi_spec.py b/tests/test_litellm/proxy/common_utils/test_custom_openapi_spec.py index 8dd99e2ae59..7549b4259af 100644 --- a/tests/test_litellm/proxy/common_utils/test_custom_openapi_spec.py +++ b/tests/test_litellm/proxy/common_utils/test_custom_openapi_spec.py @@ -88,4 +88,66 @@ class TestCustomOpenAPISpec: paths=CustomOpenAPISpec.RESPONSES_API_PATHS, operation_name="responses API" ) - assert result == base_openapi_schema \ No newline at end of file + assert result == base_openapi_schema + + +def test_move_defs_to_components(): + """ + Test that $defs from Pydantic v2 schemas are moved to components/schemas. + """ + openapi_schema = {} + + defs = { + "UserMessage": { + "type": "object", + "properties": { + "role": {"type": "string"}, + "content": {"type": "string"} + } + }, + "AssistantMessage": { + "type": "object", + "properties": { + "role": {"type": "string"}, + "content": {"type": "string"} + } + } + } + + CustomOpenAPISpec._move_defs_to_components(openapi_schema=openapi_schema, defs=defs) + + assert "components" in openapi_schema + assert "schemas" in openapi_schema["components"] + assert "UserMessage" in openapi_schema["components"]["schemas"] + assert "AssistantMessage" in openapi_schema["components"]["schemas"] + assert openapi_schema["components"]["schemas"]["UserMessage"]["type"] == "object" + + +def test_rewrite_defs_refs(): + """ + Test that $ref values are rewritten from #/$defs/ to #/components/schemas/. + """ + schema = { + "type": "object", + "properties": { + "messages": { + "type": "array", + "items": { + "anyOf": [ + {"$ref": "#/$defs/UserMessage"}, + {"$ref": "#/$defs/AssistantMessage"} + ] + } + } + }, + "$defs": { + "UserMessage": {"type": "object"}, + "AssistantMessage": {"type": "object"} + } + } + + rewritten = CustomOpenAPISpec._rewrite_defs_refs(schema=schema) + + assert "$defs" not in rewritten + assert rewritten["properties"]["messages"]["items"]["anyOf"][0]["$ref"] == "#/components/schemas/UserMessage" + assert rewritten["properties"]["messages"]["items"]["anyOf"][1]["$ref"] == "#/components/schemas/AssistantMessage" From ff90585bfe071c697bba3f2a163e95f205d0dae3 Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 17:40:32 -0800 Subject: [PATCH 06/89] Break e2e_ui_testing into build, unit, and e2e steps (#16783) --- .circleci/config.yml | 78 +++++++++++++++++++++++++++++++++----------- 1 file changed, 59 insertions(+), 19 deletions(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index 62c12c1cf92..6dd1177f79c 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -3339,7 +3339,7 @@ jobs: python -m build twine upload --verbose dist/* - e2e_ui_testing: + ui_build: machine: image: ubuntu-2204:2023.10.1 resource_class: xlarge @@ -3366,6 +3366,48 @@ jobs: # Now source the build script source ./build_ui.sh + - persist_to_workspace: + root: . + paths: + - litellm/proxy/_experimental/out + + ui_unit_tests: + machine: + image: ubuntu-2204:2023.10.1 + resource_class: xlarge + working_directory: ~/project + steps: + - checkout + - setup_google_dns + - run: + name: Run UI unit tests (Vitest) + command: | + # Use Node 20 (several deps require >=20) + export NVM_DIR="/opt/circleci/.nvm" + source "$NVM_DIR/nvm.sh" + nvm install 20 + nvm use 20 + + cd ui/litellm-dashboard + npm ci || npm install + + # CI run, with both LCOV (Codecov) and HTML (artifact you can click) + CI=true npm run test -- --run --coverage \ + --coverage.provider=v8 \ + --coverage.reporter=lcov \ + --coverage.reporter=html \ + --coverage.reportsDirectory=coverage/html + + e2e_ui_testing: + machine: + image: ubuntu-2204:2023.10.1 + resource_class: xlarge + working_directory: ~/project + steps: + - checkout + - setup_google_dns + - attach_workspace: + at: ~/project - run: name: Upgrade Docker to v24.x (API 1.44+) command: | @@ -3411,24 +3453,6 @@ jobs: name: Install Playwright Browsers command: | npx playwright install - - run: - name: Run UI unit tests (Vitest) - command: | - # Use Node 20 (several deps require >=20) - export NVM_DIR="/opt/circleci/.nvm" - source "$NVM_DIR/nvm.sh" - nvm install 20 - nvm use 20 - - cd ui/litellm-dashboard - npm ci || npm install - - # CI run, with both LCOV (Codecov) and HTML (artifact you can click) - CI=true npm run test -- --run --coverage \ - --coverage.provider=v8 \ - --coverage.reporter=lcov \ - --coverage.reporter=html \ - --coverage.reportsDirectory=coverage/html - run: name: Build Docker image @@ -3633,6 +3657,20 @@ workflows: only: - main - /litellm_.*/ + - ui_build: + filters: + branches: + only: + - main + - /litellm_.*/ + - ui_unit_tests: + requires: + - ui_build + filters: + branches: + only: + - main + - /litellm_.*/ - auth_ui_unit_tests: filters: branches: @@ -3640,6 +3678,8 @@ workflows: - main - /litellm_.*/ - e2e_ui_testing: + requires: + - ui_build filters: branches: only: From 7b9c409760816031045e41a14ab0ebe3ddde8f67 Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 17:40:50 -0800 Subject: [PATCH 07/89] Mock tremor's tooltip to fix flaky tests (#16786) --- ui/litellm-dashboard/tests/setupTests.ts | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/ui/litellm-dashboard/tests/setupTests.ts b/ui/litellm-dashboard/tests/setupTests.ts index eb48ecc102b..fdb3dea36e7 100644 --- a/ui/litellm-dashboard/tests/setupTests.ts +++ b/ui/litellm-dashboard/tests/setupTests.ts @@ -1,5 +1,6 @@ import "@testing-library/jest-dom"; import { cleanup } from "@testing-library/react"; +import React from "react"; import { afterEach, vi } from "vitest"; // Global mock for NotificationManager to prevent React rendering issues in tests @@ -16,6 +17,18 @@ vi.mock("@/components/molecules/notifications_manager", () => ({ }, })); +vi.mock("@tremor/react", async (importOriginal) => { + const actual = await importOriginal(); + return { + ...actual, + Tooltip: ({ children, ..._props }: { children?: React.ReactNode; [key: string]: unknown }) => { + // Return children directly without tooltip functionality to prevent flaky tests + // This avoids issues with hover states, positioning, and DOM queries in tests + return React.createElement(React.Fragment, null, children); + }, + }; +}); + afterEach(() => { cleanup(); }); From fe05e33723fa99a76da195f052c2f2f41ae72a2e Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 17:56:40 -0800 Subject: [PATCH 08/89] Fix e2e ui playwright test (#16799) --- .../e2e_ui_tests/login_to_ui.spec.ts | 34 ++++++++++--------- 1 file changed, 18 insertions(+), 16 deletions(-) diff --git a/tests/proxy_admin_ui_tests/e2e_ui_tests/login_to_ui.spec.ts b/tests/proxy_admin_ui_tests/e2e_ui_tests/login_to_ui.spec.ts index f5148bed16d..8971a84649e 100644 --- a/tests/proxy_admin_ui_tests/e2e_ui_tests/login_to_ui.spec.ts +++ b/tests/proxy_admin_ui_tests/e2e_ui_tests/login_to_ui.spec.ts @@ -6,17 +6,17 @@ Basic UI Test Click on all the tabs ensure nothing is broken */ -import { test, expect } from '@playwright/test'; +import { test, expect } from "@playwright/test"; -test('admin login test', async ({ page }) => { +test("admin login test", async ({ page }) => { // Go to the specified URL - await page.goto('http://localhost:4000/ui'); + await page.goto("http://localhost:4000/ui"); // Enter "admin" in the username input field - await page.fill('input[name="username"]', 'admin'); + await page.fill('input[name="username"]', "admin"); // Enter "gm" in the password input field - await page.fill('input[name="password"]', 'gm'); + await page.fill('input[name="password"]', "gm"); // Optionally, you can add an assertion to verify the login button is enabled const loginButton = page.locator('input[type="submit"]'); @@ -25,20 +25,22 @@ test('admin login test', async ({ page }) => { // Optionally, you can click the login button to submit the form await loginButton.click(); const tabs = [ - 'Virtual Keys', - 'Test Key', - 'Models', - 'Usage', - 'Teams', - 'Internal User', - 'Settings', - 'Experimental', - 'API Reference', - 'Model Hub' + "Virtual Keys", + "Test Key", + "Models", + "Usage", + "Teams", + "Internal User", + "Settings", + "Experimental", + "API Reference", + "AI Hub", ]; for (const tab of tabs) { - const tabElement = page.locator('span.ant-menu-title-content', { hasText: tab }); + const tabElement = page.locator("span.ant-menu-title-content", { + hasText: tab, + }); await tabElement.click(); } }); From d0e806d1b38bd5b553b9ca22c7b7ccda2d26a6a2 Mon Sep 17 00:00:00 2001 From: yuneng-jiang Date: Tue, 18 Nov 2025 19:49:16 -0800 Subject: [PATCH 09/89] Add additional model settings to chat models in test key (#16793) --- .../chat_ui/AdditionalModelSettings.test.tsx | 50 +++++++ .../chat_ui/AdditionalModelSettings.tsx | 137 ++++++++++++++++++ .../src/components/chat_ui/ChatUI.test.tsx | 8 +- .../src/components/chat_ui/ChatUI.tsx | 64 +++++++- .../llm_calls/chat_completion.test.tsx | 118 +++++++++++++++ .../chat_ui/llm_calls/chat_completion.tsx | 4 + 6 files changed, 375 insertions(+), 6 deletions(-) create mode 100644 ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx create mode 100644 ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx create mode 100644 ui/litellm-dashboard/src/components/chat_ui/llm_calls/chat_completion.test.tsx diff --git a/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx new file mode 100644 index 00000000000..9eebc382163 --- /dev/null +++ b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.test.tsx @@ -0,0 +1,50 @@ +import { render, screen, waitFor } from "@testing-library/react"; +import userEvent from "@testing-library/user-event"; +import { describe, expect, it, vi } from "vitest"; +import AdditionalModelSettings from "./AdditionalModelSettings"; + +describe("AdditionalModelSettings", () => { + it("should render correctly", () => { + const { container } = render(); + expect(container).toBeTruthy(); + + expect(screen.getByText("Use Advanced Parameters")).toBeInTheDocument(); + + expect(screen.getByText("Temperature")).toBeInTheDocument(); + expect(screen.getByText("Max Tokens")).toBeInTheDocument(); + }); + + it("should enable the sliders when the checkbox is checked", async () => { + const user = userEvent.setup(); + const mockOnTemperatureChange = vi.fn(); + const mockOnMaxTokensChange = vi.fn(); + + render( + , + ); + + const checkbox = screen.getByRole("checkbox", { name: /Use Advanced Parameters/i }); + expect(checkbox).toBeInTheDocument(); + expect(checkbox).not.toBeChecked(); + + await user.click(checkbox); + + await waitFor(() => { + expect(screen.getByRole("checkbox", { name: /Use Advanced Parameters/i })).toBeChecked(); + }); + + await waitFor(() => { + const sliders = screen.getAllByRole("slider"); + expect(sliders.length).toBeGreaterThan(0); + expect(sliders[0]).not.toBeDisabled(); + }); + + const temperatureSlider = screen.getAllByRole("slider")[0]; + const maxTokensSlider = screen.getAllByRole("slider")[1]; + expect(temperatureSlider).not.toBeDisabled(); + expect(maxTokensSlider).not.toBeDisabled(); + }); +}); diff --git a/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx new file mode 100644 index 00000000000..85307509525 --- /dev/null +++ b/ui/litellm-dashboard/src/components/chat_ui/AdditionalModelSettings.tsx @@ -0,0 +1,137 @@ +import { InfoCircleOutlined } from "@ant-design/icons"; +import { Text } from "@tremor/react"; +import { Checkbox, InputNumber, Slider, Tooltip } from "antd"; +import React, { useEffect, useState } from "react"; + +interface AdditionalModelSettingsProps { + temperature?: number; + maxTokens?: number; + useAdvancedParams?: boolean; + onTemperatureChange?: (value: number) => void; + onMaxTokensChange?: (value: number) => void; + onUseAdvancedParamsChange?: (value: boolean) => void; +} + +const AdditionalModelSettings: React.FC = ({ + temperature = 1.0, + maxTokens = 2048, + useAdvancedParams: externalUseAdvancedParams, + onTemperatureChange, + onMaxTokensChange, + onUseAdvancedParamsChange, +}) => { + const [internalUseAdvancedParams, setInternalUseAdvancedParams] = useState(false); + const useAdvancedParams = + externalUseAdvancedParams !== undefined ? externalUseAdvancedParams : internalUseAdvancedParams; + const [localTemperature, setLocalTemperature] = useState(temperature); + const [localMaxTokens, setLocalMaxTokens] = useState(maxTokens); + + // Sync local state with props when they change + useEffect(() => { + setLocalTemperature(temperature); + }, [temperature]); + + useEffect(() => { + setLocalMaxTokens(maxTokens); + }, [maxTokens]); + + const handleTemperatureChange = (value: number | null) => { + const newValue = value ?? 1.0; + setLocalTemperature(newValue); + onTemperatureChange?.(newValue); + }; + + const handleMaxTokensChange = (value: number | null) => { + const newValue = value ?? 1000; + setLocalMaxTokens(newValue); + onMaxTokensChange?.(newValue); + }; + + const disabledOpacity = useAdvancedParams ? 1 : 0.4; + const disabledTextColor = useAdvancedParams ? "text-gray-700" : "text-gray-400"; + + const handleUseAdvancedParamsChange = (checked: boolean) => { + if (onUseAdvancedParamsChange) { + onUseAdvancedParamsChange(checked); + } else { + setInternalUseAdvancedParams(checked); + } + }; + + return ( +

+ ); +}; + +export default AdditionalModelSettings; diff --git a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx index 53fa2b0916e..9bf2d4fc14f 100644 --- a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx +++ b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.test.tsx @@ -120,7 +120,9 @@ describe("ChatUI", () => { // Open the "Select Model" dropdown (AntD renders options in a portal) const selectModelLabel = getByText("Select Model"); - const modelSelect = selectModelLabel.parentElement?.querySelector(".ant-select-selector"); + // The Select component is a sibling of the Text component, so we need to find it in the parent container + const modelSelectContainer = selectModelLabel.closest("div"); + const modelSelect = modelSelectContainer?.querySelector(".ant-select-selector"); expect(modelSelect).toBeTruthy(); fireEvent.mouseDown(modelSelect!); @@ -164,7 +166,9 @@ describe("ChatUI", () => { // Open model selector const selectModelLabel = getByText("Select Model"); - const modelSelect = selectModelLabel.parentElement?.querySelector(".ant-select-selector"); + // The Select component is a sibling of the Text component, so we need to find it in the parent container + const modelSelectContainer = selectModelLabel.closest("div"); + const modelSelect = modelSelectContainer?.querySelector(".ant-select-selector"); expect(modelSelect).toBeTruthy(); act(() => { fireEvent.mouseDown(modelSelect!); diff --git a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx index b65e254893f..211382541cc 100644 --- a/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx +++ b/ui/litellm-dashboard/src/components/chat_ui/ChatUI.tsx @@ -12,28 +12,30 @@ import { PictureOutlined, RobotOutlined, SafetyOutlined, + SettingOutlined, SoundOutlined, TagsOutlined, ToolOutlined, UserOutlined, } from "@ant-design/icons"; import { Card, Text, TextInput, Title, Button as TremorButton } from "@tremor/react"; -import { Button, Input, Modal, Select, Spin, Tooltip, Typography, Upload } from "antd"; +import { Button, Input, Modal, Popover, Select, Spin, Tooltip, Typography, Upload } from "antd"; import React, { useEffect, useRef, useState } from "react"; import ReactMarkdown from "react-markdown"; import { Prism as SyntaxHighlighter } from "react-syntax-highlighter"; import { coy } from "react-syntax-highlighter/dist/esm/styles/prism"; import { v4 as uuidv4 } from "uuid"; +import { truncateString } from "../../utils/textUtils"; import GuardrailSelector from "../guardrails/GuardrailSelector"; import NotificationsManager from "../molecules/notifications_manager"; import TagSelector from "../tag_management/TagSelector"; import VectorStoreSelector from "../vector_store_management/VectorStoreSelector"; +import AdditionalModelSettings from "./AdditionalModelSettings"; import AudioRenderer from "./AudioRenderer"; import { OPEN_AI_VOICE_SELECT_OPTIONS, OpenAIVoice } from "./chatConstants"; import ChatImageRenderer from "./ChatImageRenderer"; import ChatImageUpload from "./ChatImageUpload"; import { createChatDisplayMessage, createChatMultimodalMessage } from "./ChatImageUtils"; -import { truncateString } from "../../utils/textUtils"; import { generateCodeSnippet } from "./CodeSnippets"; import EndpointSelector from "./EndpointSelector"; import { makeAnthropicMessagesRequest } from "./llm_calls/anthropic_messages"; @@ -184,6 +186,9 @@ const ChatUI: React.FC = ({ const [generatedCode, setGeneratedCode] = useState(""); const [selectedSdk, setSelectedSdk] = useState<"openai" | "azure">("openai"); const [mcpEvents, setMCPEvents] = useState([]); + const [temperature, setTemperature] = useState(1.0); + const [maxTokens, setMaxTokens] = useState(2048); + const [useAdvancedParams, setUseAdvancedParams] = useState(false); const chatEndRef = useRef(null); @@ -765,6 +770,8 @@ const ChatUI: React.FC = ({ selectedMCPTools, // Pass the selected tools array updateChatImageUI, // Pass the image callback updateSearchResults, // Pass the search results callback + useAdvancedParams ? temperature : undefined, // Pass temperature if enabled + useAdvancedParams ? maxTokens : undefined, // Pass max_tokens if enabled ); } else if (endpointType === EndpointType.IMAGE) { // For image generation @@ -950,6 +957,19 @@ const ChatUI: React.FC = ({ setShowCustomModelInput(value === "custom"); }; + // Check if the selected model is a chat model + const isChatModel = () => { + if (!selectedModel || selectedModel === "custom") { + return false; + } + const model = modelInfo.find((m) => m.model_group === selectedModel); + if (!model) { + return false; + } + // Check if mode is explicitly "chat" or undefined (which defaults to chat per backend) + return !model.mode || model.mode === "chat"; + }; + const antIcon = ; return ( @@ -1037,8 +1057,44 @@ const ChatUI: React.FC = ({
- - Select Model + + + Select Model + + {isChatModel() ? ( + + } + title="Model Settings" + trigger="click" + placement="right" + > +
+ ); +}; + +// Shared component for rendering callback selector +interface CallbackSelectorProps { + callbackConfigs: any[]; + selectedCallback: string | null; + onCallbackChange: (value: string) => void; + disabled?: boolean; +} + +const CallbackSelector: React.FC = ({ + callbackConfigs, + selectedCallback, + onCallbackChange, + disabled = false, +}) => { + return ( + + + + ); +}; + +// Shared helper function to get dynamic params for a callback +const getDynamicParamsForCallback = ( + callbackName: string | null, + callbackConfigs: any[], + fallbackVariables?: Record, +): string[] => { + if (!callbackName) { + return fallbackVariables ? Object.keys(fallbackVariables) : []; + } + + const callbackConfig = callbackConfigs.find((config) => config.id === callbackName); + if (callbackConfig?.dynamic_params) { + return Object.keys(callbackConfig.dynamic_params); + } + + return fallbackVariables ? Object.keys(fallbackVariables) : []; +}; + +// Shared helper function to build callback payload +const buildCallbackPayload = (formValues: Record, callbackName: string) => { + return { + environment_variables: formValues, + litellm_settings: { + success_callback: [callbackName], + }, + }; +}; + const Settings: React.FC = ({ accessToken, userRole, userID, premiumUser }) => { const [callbacks, setCallbacks] = useState([]); const [alerts, setAlerts] = useState([]); @@ -83,6 +241,8 @@ const Settings: React.FC = ({ accessToken, userRole, userID, const [selectedEditCallback, setSelectedEditCallback] = useState(null); const [showDeleteConfirmModal, setShowDeleteConfirmModal] = useState(false); const [callbackToDelete, setCallbackToDelete] = useState(null); + const [isUpdatingCallback, setIsUpdatingCallback] = useState(false); + const [isAddingCallback, setIsAddingCallback] = useState(false); useEffect(() => { if (!accessToken) { @@ -102,7 +262,10 @@ const Settings: React.FC = ({ accessToken, userRole, userID, const normalized = Object.fromEntries( Object.entries(selectedEditCallback.variables || {}).map(([k, v]) => [k, v ?? ""]), ); - editForm.setFieldsValue(normalized); + editForm.setFieldsValue({ + ...normalized, + callback: selectedEditCallback.name, + }); } }, [showEditCallback, selectedEditCallback, editForm]); @@ -154,31 +317,36 @@ const Settings: React.FC = ({ accessToken, userRole, userID, return activeAlerts && activeAlerts.includes(alertName); }; - const updateCallbackCall = async (formValues: Record) => { - if (!accessToken || !selectedEditCallback) { + // Shared handler for callback form submission + const handleCallbackSubmit = async (formValues: Record, callbackName: string, isEdit: boolean) => { + if (!accessToken) { return; } - let env_vars: Record = {}; - // add all other variables - Object.entries(formValues).forEach(([key, value]) => { - if (key !== "callback") { - env_vars[key] = value; - } - }); - let payload = { - environment_variables: formValues, - litellm_settings: { - success_callback: [selectedEditCallback.name], - }, - }; + if (isEdit) { + setIsUpdatingCallback(true); + } else { + setIsAddingCallback(true); + } + + const payload = buildCallbackPayload(formValues, callbackName); try { await setCallbacksCall(accessToken, payload); - NotificationsManager.success("Callback updated successfully"); - setShowEditCallback(false); - editForm.resetFields(); - setSelectedEditCallback(null); + NotificationsManager.success( + isEdit ? "Callback updated successfully" : `Callback ${callbackName} added successfully`, + ); + + if (isEdit) { + setShowEditCallback(false); + editForm.resetFields(); + setSelectedEditCallback(null); + } else { + setShowAddCallbacksModal(false); + addForm.resetFields(); + setSelectedCallback(null); + setSelectedCallbackParams([]); + } // Refresh the callbacks list if (userID && userRole) { @@ -187,56 +355,34 @@ const Settings: React.FC = ({ accessToken, userRole, userID, } } catch (error) { NotificationsManager.fromBackend(error); + } finally { + if (isEdit) { + setIsUpdatingCallback(false); + } else { + setIsAddingCallback(false); + } } }; - const addNewCallbackCall = async (formValues: Record) => { - if (!accessToken) { + const updateCallbackCall = async (formValues: Record) => { + if (!selectedEditCallback) { return; } - let new_callback = formValues?.callback; + await handleCallbackSubmit(formValues, selectedEditCallback.name, true); + }; - let env_vars: Record = {}; - // add all other variables - Object.entries(formValues).forEach(([key, value]) => { - if (key !== "callback") { - env_vars[key] = value; - } - }); - - let payload = { - environment_variables: formValues, - litellm_settings: { - success_callback: [new_callback], - }, - }; - - try { - await setCallbacksCall(accessToken, payload); - NotificationsManager.success(`Callback ${new_callback} added successfully`); - setShowAddCallbacksModal(false); - addForm.resetFields(); - setSelectedCallback(null); - setSelectedCallbackParams([]); - - // Refresh the callbacks list - const updatedData = await getCallbacksCall(accessToken, userID || "", userRole || ""); - setCallbacks(updatedData.callbacks); - } catch (error) { - NotificationsManager.fromBackend(error); + const addNewCallbackCall = async (formValues: Record) => { + const new_callback = formValues?.callback; + if (!new_callback) { + return; } + await handleCallbackSubmit(formValues, new_callback, false); }; const handleSelectedCallbackChange = (callbackName: string) => { setSelectedCallback(callbackName); - - const callbackConfig = callbackConfigs.find((config) => config.id === callbackName); - - if (callbackConfig?.dynamic_params) { - setSelectedCallbackParams(Object.keys(callbackConfig.dynamic_params)); - } else { - setSelectedCallbackParams([]); - } + const params = getDynamicParamsForCallback(callbackName, callbackConfigs); + setSelectedCallbackParams(params); }; const handleSaveAlerts = async () => { @@ -564,103 +710,17 @@ const Settings: React.FC = ({ accessToken, userRole, userID, wrapperCol={{ span: 16 }} labelAlign="left" > - - - - - {selectedCallbackParams && selectedCallbackParams.length > 0 && ( -
- {selectedCallbackParams.map((param) => { - const callbackConfig = callbackConfigs.find((config) => config.id === selectedCallback); - const paramConfig = callbackConfig?.dynamic_params?.[param] || {}; - const paramType = paramConfig.type || "text"; - const fieldLabel = - paramConfig.ui_name || param.replace(/_/g, " ").replace(/\b\w/g, (l) => l.toUpperCase()); - const isRequired = paramConfig.required || false; - - return ( - {fieldLabel} } - name={param} - key={param} - className="mb-4" - rules={ - isRequired - ? [ - { - required: true, - message: `Please enter the ${fieldLabel.toLowerCase()}`, - }, - ] - : undefined - } - > - {paramType === "password" ? ( - - ) : paramType === "number" ? ( - - ) : ( - - )} - - ); - })} -
- )} +
= ({ accessToken, userRole, userID, setSelectedCallbackParams([]); addForm.resetFields(); }} + disabled={isAddingCallback} > Cancel - Add Callback + + {isAddingCallback ? "Adding..." : "Add Callback"} +
{ setShowEditCallback(false); setSelectedEditCallback(null); + editForm.resetFields(); }} footer={null} > @@ -695,35 +759,54 @@ const Settings: React.FC = ({ accessToken, userRole, userID, wrapperCol={{ span: 16 }} labelAlign="left" > - <> - {selectedEditCallback && - selectedEditCallback.variables && - Object.entries(selectedEditCallback.variables).map(([param]) => ( - - - - ))} - + {selectedEditCallback && ( + <> + {}} + disabled={true} + /> -
- Save + + + )} + +
+ { + setShowEditCallback(false); + setSelectedEditCallback(null); + editForm.resetFields(); + }} + disabled={isUpdatingCallback} + > + Cancel + + { + editForm.submit(); + }} + loading={isUpdatingCallback} + disabled={isUpdatingCallback} + > + {isUpdatingCallback ? "Saving..." : "Save Changes"} +
{ setShowDeleteConfirmModal(false); From 149f3084518d4d70d7d19ab6cff2cd356d108f15 Mon Sep 17 00:00:00 2001 From: Sameer Kankute Date: Wed, 19 Nov 2025 10:01:59 +0530 Subject: [PATCH 21/89] make all gpt-5 and reasoning models to responses by default (#16766) --- ...odel_prices_and_context_window_backup.json | 38 +++++++++---------- model_prices_and_context_window.json | 38 +++++++++---------- 2 files changed, 38 insertions(+), 38 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index e77e67bf70d..4fe2a19f604 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index e77e67bf70d..4fe2a19f604 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "chat", + "mode": "responses", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, From b92cc2b2f983ec09649eeb8a777d0c56dcf3b328 Mon Sep 17 00:00:00 2001 From: Alan Ponnachan <85491837+AlanPonnachan@users.noreply.github.com> Date: Wed, 19 Nov 2025 10:07:21 +0530 Subject: [PATCH 22/89] fix(bedrock): Ensure consistent chunk IDs in Bedrock streaming responses (#16596) * ensure consistent chunk IDs in streaming responses * use native conversationId for consistent stream chunk IDs --- litellm/llms/bedrock/chat/invoke_handler.py | 25 ++++++++--- .../llms/bedrock/chat/test_invoke_handler.py | 41 +++++++++++++++++-- 2 files changed, 56 insertions(+), 10 deletions(-) diff --git a/litellm/llms/bedrock/chat/invoke_handler.py b/litellm/llms/bedrock/chat/invoke_handler.py index 53cbafcbe6a..71429e4191f 100644 --- a/litellm/llms/bedrock/chat/invoke_handler.py +++ b/litellm/llms/bedrock/chat/invoke_handler.py @@ -493,9 +493,9 @@ class BedrockLLM(BaseAWSLLM): content=None, ) model_response.choices[0].message = _message # type: ignore - model_response._hidden_params["original_response"] = ( - outputText # allow user to access raw anthropic tool calling response - ) + model_response._hidden_params[ + "original_response" + ] = outputText # allow user to access raw anthropic tool calling response if ( _is_function_call is True and stream is not None @@ -793,9 +793,9 @@ class BedrockLLM(BaseAWSLLM): ): # completion(top_k=3) > anthropic_config(top_k=3) <- allows for dynamic variables to be passed in inference_params[k] = v if stream is True: - inference_params["stream"] = ( - True # cohere requires stream = True in inference params - ) + inference_params[ + "stream" + ] = True # cohere requires stream = True in inference params data = json.dumps({"prompt": prompt, **inference_params}) elif provider == "anthropic": if model.startswith("anthropic.claude-3"): @@ -1184,6 +1184,7 @@ class AWSEventStreamDecoder: self.parser = EventStreamJSONParser() self.content_blocks: List[ContentBlockDeltaEvent] = [] self.tool_calls_index: Optional[int] = None + self.response_id: Optional[str] = None def check_empty_tool_call_args(self) -> bool: """ @@ -1247,6 +1248,17 @@ class AWSEventStreamDecoder: def converse_chunk_parser(self, chunk_data: dict) -> ModelResponseStream: try: + # Capture the conversationId from the first messageStart event + # and use it as the consistent ID for all subsequent chunks. + if self.response_id is None: + if "messageStart" in chunk_data: + conversation_id = chunk_data["messageStart"].get("conversationId") + if conversation_id: + self.response_id = f"chatcmpl-{conversation_id}" + else: + # Fallback to generating a UUID if the first chunk is not messageStart + self.response_id = f"chatcmpl-{uuid.uuid4()}" + verbose_logger.debug("\n\nRaw Chunk: {}\n\n".format(chunk_data)) text = "" tool_use: Optional[ChatCompletionToolCallChunk] = None @@ -1378,6 +1390,7 @@ class AWSEventStreamDecoder: ), ) ], + id=self.response_id, usage=usage, provider_specific_fields=model_response_provider_specific_fields, ) diff --git a/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py b/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py index 429b1a43896..a415d550215 100644 --- a/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py +++ b/tests/test_litellm/llms/bedrock/chat/test_invoke_handler.py @@ -1,14 +1,10 @@ -import json import os import sys -import pytest -from fastapi.testclient import TestClient sys.path.insert( 0, os.path.abspath("../../../../..") ) # Adds the parent directory to the system path -from unittest.mock import MagicMock, patch from litellm.llms.bedrock.chat.invoke_handler import AWSEventStreamDecoder @@ -167,3 +163,40 @@ def test_transform_tool_calls_index_with_optional_arg_func(): tool_call_hunk_dict = tool_call_hunk.model_dump() for tool_call in tool_call_hunk_dict["choices"][0]["delta"]["tool_calls"]: assert tool_call["index"] == 0 + + +def test_bedrock_converse_streaming_consistent_id(): + """ + Tests that all chunks in a Bedrock Converse stream response share the same ID, + capturing the ID from the initial 'messageStart' event. + """ + # Simulate a realistic Bedrock Converse stream + native_conversation_id = "a1b2c3d4-e5f6-7890-1234-56789abcdef0" + mock_stream_chunks = [ + { + "messageStart": { + "conversationId": native_conversation_id, + "role": "assistant", + } + }, + {"delta": {"text": "Hello"}, "contentBlockIndex": 0}, + {"delta": {"text": " world!"}, "contentBlockIndex": 0}, + {"stopReason": "stop"}, + ] + + decoder = AWSEventStreamDecoder(model="bedrock/anthropic.claude-3-sonnet-v1:0") + + # Process each chunk and collect the parsed responses + parsed_responses = [] + for chunk in mock_stream_chunks: + parsed_responses.append(decoder.converse_chunk_parser(chunk)) + + # Verify that all parsed responses have the same, non-null ID derived from the native ID + assert len(parsed_responses) > 1, "Should have processed multiple chunks" + + expected_id = f"chatcmpl-{native_conversation_id}" + + for response in parsed_responses: + assert ( + response.id == expected_id + ), "All chunk IDs must match the one captured from the messageStart event" From 08246bf9085034917d6fc76ab414f082b6b13c70 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 19 Nov 2025 08:35:23 -0800 Subject: [PATCH 23/89] fix: fix broken doc link --- docs/my-website/docs/proxy/litellm_managed_files.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/my-website/docs/proxy/litellm_managed_files.md b/docs/my-website/docs/proxy/litellm_managed_files.md index c63b1218892..7aba173f35b 100644 --- a/docs/my-website/docs/proxy/litellm_managed_files.md +++ b/docs/my-website/docs/proxy/litellm_managed_files.md @@ -424,4 +424,4 @@ No, as of `v1.71.2` users can only view/edit/delete files they have created. ## See Also - [Managed Files w/ Finetuning APIs](../../docs/proxy/managed_finetuning) -- [Managed Files w/ Batch APIs](../../docs/proxy/managed_batch) \ No newline at end of file +- [Managed Files w/ Batch APIs](../../docs/proxy/managed_batches) \ No newline at end of file From 5f94b372f87d1dd8e7f981fc98c918c6aef0783a Mon Sep 17 00:00:00 2001 From: tushar8408 <32977767+tushar8408@users.noreply.github.com> Date: Wed, 19 Nov 2025 09:53:21 -0800 Subject: [PATCH 24/89] Migration job labels (#16831) * Add dynamic pod labels and annotations to migrations job * Bump chart version to 0.4.8 --- deploy/charts/litellm-helm/Chart.yaml | 2 +- deploy/charts/litellm-helm/templates/migrations-job.yaml | 3 +++ 2 files changed, 4 insertions(+), 1 deletion(-) diff --git a/deploy/charts/litellm-helm/Chart.yaml b/deploy/charts/litellm-helm/Chart.yaml index aa81e4efecc..eedadebaa8e 100644 --- a/deploy/charts/litellm-helm/Chart.yaml +++ b/deploy/charts/litellm-helm/Chart.yaml @@ -18,7 +18,7 @@ type: application # This is the chart version. This version number should be incremented each time you make changes # to the chart and its templates, including the app version. # Versions are expected to follow Semantic Versioning (https://semver.org/) -version: 0.4.7 +version: 0.4.8 # This is the version number of the application being deployed. This version number should be # incremented each time you make changes to the application. Versions are not expected to diff --git a/deploy/charts/litellm-helm/templates/migrations-job.yaml b/deploy/charts/litellm-helm/templates/migrations-job.yaml index 243a4ba7d48..f8893a47afe 100644 --- a/deploy/charts/litellm-helm/templates/migrations-job.yaml +++ b/deploy/charts/litellm-helm/templates/migrations-job.yaml @@ -22,6 +22,9 @@ spec: metadata: labels: {{- include "litellm.labels" . | nindent 8 }} + {{- with .Values.podLabels }} + {{- toYaml . | nindent 8 }} + {{- end }} annotations: {{- with .Values.migrationJob.annotations }} {{- toYaml . | nindent 8 }} From 1f8fe007a1a08509620f382aec6af7710d48fb78 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 10:20:58 -0800 Subject: [PATCH 25/89] [Feat] Prompt Management - Allow specifying just prompt_id in a request to a model (#16834) * test_dotprompt_auto_detection_with_model_only * fix _auto_detect_prompt_management_logger * test_dotprompt_auto_detection_with_model_only --- litellm/litellm_core_utils/litellm_logging.py | 74 +++++++++++++++++- .../dotprompt/test_prompt_manager.py | 76 +++++++++++++++++++ 2 files changed, 146 insertions(+), 4 deletions(-) diff --git a/litellm/litellm_core_utils/litellm_logging.py b/litellm/litellm_core_utils/litellm_logging.py index 6bad7ee29e2..e5c52ce48ae 100644 --- a/litellm/litellm_core_utils/litellm_logging.py +++ b/litellm/litellm_core_utils/litellm_logging.py @@ -585,7 +585,10 @@ class Logging(LiteLLMLoggingBaseClass): custom_logger = ( prompt_management_logger or self.get_custom_logger_for_prompt_management( - model=model, non_default_params=non_default_params + model=model, + non_default_params=non_default_params, + prompt_id=prompt_id, + dynamic_callback_params=self.standard_callback_dynamic_params, ) ) @@ -622,7 +625,11 @@ class Logging(LiteLLMLoggingBaseClass): custom_logger = ( prompt_management_logger or self.get_custom_logger_for_prompt_management( - model=model, tools=tools, non_default_params=non_default_params + model=model, + tools=tools, + non_default_params=non_default_params, + prompt_id=prompt_id, + dynamic_callback_params=self.standard_callback_dynamic_params, ) ) @@ -646,19 +653,69 @@ class Logging(LiteLLMLoggingBaseClass): self.messages = messages return model, messages, non_default_params + def _auto_detect_prompt_management_logger( + self, + prompt_id: str, + dynamic_callback_params: StandardCallbackDynamicParams, + ) -> Optional[CustomLogger]: + """ + Auto-detect which prompt management system owns the given prompt_id. + + This allows a user to just pass prompt_id in the completion call and it will be auto-detected which system owns this prompt. + + Args: + prompt_id: The prompt ID to check + dynamic_callback_params: Dynamic callback parameters for should_run_prompt_management checks + + Returns: + A CustomLogger instance if a matching prompt management system is found, None otherwise + """ + prompt_management_loggers = ( + litellm.logging_callback_manager.get_custom_loggers_for_type( + callback_type=CustomPromptManagement + ) + ) + + for logger in prompt_management_loggers: + if isinstance(logger, CustomPromptManagement): + try: + if logger.should_run_prompt_management( + prompt_id=prompt_id, + dynamic_callback_params=dynamic_callback_params, + ): + self.model_call_details["prompt_integration"] = ( + logger.__class__.__name__ + ) + return logger + except Exception: + # If check fails, continue to next logger + continue + + return None + def get_custom_logger_for_prompt_management( - self, model: str, non_default_params: Dict, tools: Optional[List[Dict]] = None + self, + model: str, + non_default_params: Dict, + tools: Optional[List[Dict]] = None, + prompt_id: Optional[str] = None, + dynamic_callback_params: Optional[StandardCallbackDynamicParams] = None, ) -> Optional[CustomLogger]: """ Get a custom logger for prompt management based on model name or available callbacks. Args: model: The model name to check for prompt management integration + non_default_params: Non-default parameters passed to the completion call + tools: Optional tools passed to the completion call + prompt_id: Optional prompt ID to auto-detect which system owns this prompt + dynamic_callback_params: Dynamic callback parameters for should_run_prompt_management checks Returns: A CustomLogger instance if one is found, None otherwise """ # First check if model starts with a known custom logger compatible callback + # This takes precedence for backward compatibility for callback_name in litellm._known_custom_logger_compatible_callbacks: if model.startswith(callback_name): custom_logger = _init_custom_logger_compatible_class( @@ -670,7 +727,16 @@ class Logging(LiteLLMLoggingBaseClass): self.model_call_details["prompt_integration"] = model.split("/")[0] return custom_logger - # Then check for any registered CustomPromptManagement loggers + # If prompt_id is provided, try to auto-detect which system has this prompt + if prompt_id and dynamic_callback_params is not None: + auto_detected_logger = self._auto_detect_prompt_management_logger( + prompt_id=prompt_id, + dynamic_callback_params=dynamic_callback_params, + ) + if auto_detected_logger is not None: + return auto_detected_logger + + # Then check for any registered CustomPromptManagement loggers (fallback) prompt_management_loggers = ( litellm.logging_callback_manager.get_custom_loggers_for_type( callback_type=CustomPromptManagement diff --git a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py index c19503641e1..77e3e0d4a45 100644 --- a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py +++ b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py @@ -521,3 +521,79 @@ def test_prompt_main(): """ # TODO: Implement once PromptManager is integrated with litellm completion pass + + +@pytest.mark.asyncio +async def test_dotprompt_auto_detection_with_model_only(): + """ + Test that dotprompt prompts can be auto-detected when passing model="gpt-4" and prompt_id, + without needing to specify model="dotprompt/gpt-4". + """ + from litellm.integrations.dotprompt import DotpromptManager + + prompt_dir = Path(__file__).parent + dotprompt_manager = DotpromptManager(prompt_directory=str(prompt_dir)) + + # Register the dotprompt manager in callbacks + original_callbacks = litellm.callbacks.copy() + litellm.callbacks = [dotprompt_manager] + + try: + # Mock the HTTP handler to avoid actual API calls + with patch("litellm.llms.custom_httpx.llm_http_handler.AsyncHTTPHandler.post") as mock_post: + mock_response_data = litellm.ModelResponse( + choices=[ + litellm.Choices( + message=litellm.Message(content="Hello!"), + index=0, + finish_reason="stop", + ) + ] + ).model_dump() + + # Create a proper mock response + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = json.dumps(mock_response_data) + mock_response.headers = {"Content-Type": "application/json"} + mock_response.json.return_value = mock_response_data + + mock_post.return_value = mock_response + + # Call with model="gpt-4" (no "dotprompt/" prefix) and prompt_id + await litellm.acompletion( + model="gpt-4", + prompt_id="chat_prompt", + prompt_variables={"user_message": "Hello world"}, + messages=[{"role": "user", "content": "This will be ignored"}], + ) + + mock_post.assert_called_once() + + # Get request body from the call (it's passed as 'data' parameter as JSON string) + data_str = mock_post.call_args.kwargs.get("data", "{}") + request_body = json.loads(data_str) + + print(f"Request body: {json.dumps(request_body, indent=2)}") + + # Verify the prompt was auto-detected and used + # The chat_prompt.prompt has metadata: model: gpt-4, temperature: 0.7, max_tokens: 150 + assert request_body["model"] == "gpt-4" + + # Note: OpenAI API might strip out temperature/max_tokens if they're not in the request + # The key test is that the messages were transformed + + # Verify the messages were transformed using the prompt template + # chat_prompt template: "User: {{user_message}}" + messages = request_body["messages"] + assert len(messages) >= 1 + + # The first message should be from the prompt template with the variable substituted + # Template is: "User: {{user_message}}" with user_message="Hello world" + first_message_content = messages[0]["content"] + print(f"First message content: {first_message_content}") + assert "Hello world" in first_message_content + + finally: + # Restore original callbacks + litellm.callbacks = original_callbacks From 3ebe4890826f063ecfbb29a8897016d37edea6f7 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 13:16:03 -0800 Subject: [PATCH 26/89] [Feat] Prompt Management - Add support for versioning prompts (#16836) * test_dotprompt_auto_detection_with_model_only * fix _auto_detect_prompt_management_logger * test_dotprompt_with_prompt_version * add v1, v2 tests * add _compile_prompt_helper * fix _compile_prompt_helper * test_dotprompt_with_prompt_version * test_dotprompt_with_prompt_version, test_get_prompt_with_version --- .../dotprompt/dotprompt_manager.py | 21 ++- .../integrations/dotprompt/prompt_manager.py | 37 ++++- .../dotprompt/chat_prompt.v1.prompt | 10 ++ .../dotprompt/chat_prompt.v2.prompt | 10 ++ .../dotprompt/test_prompt_manager.py | 143 ++++++++++++++++++ 5 files changed, 209 insertions(+), 12 deletions(-) create mode 100644 tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt create mode 100644 tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt diff --git a/litellm/integrations/dotprompt/dotprompt_manager.py b/litellm/integrations/dotprompt/dotprompt_manager.py index 0f0d7b938f3..7aaa6cc9628 100644 --- a/litellm/integrations/dotprompt/dotprompt_manager.py +++ b/litellm/integrations/dotprompt/dotprompt_manager.py @@ -108,7 +108,7 @@ class DotpromptManager(CustomPromptManagement): Compile a .prompt file into a PromptManagementClient structure. This method: - 1. Loads the prompt template from the .prompt file + 1. Loads the prompt template from the .prompt file (with optional version) 2. Renders it with the provided variables 3. Converts the rendered text into chat messages 4. Extracts model and optional parameters from metadata @@ -116,13 +116,22 @@ class DotpromptManager(CustomPromptManagement): try: - # Get the prompt template - template = self.prompt_manager.get_prompt(prompt_id) + # Get the prompt template (versioned or base) + template = self.prompt_manager.get_prompt( + prompt_id=prompt_id, version=prompt_version + ) if template is None: - raise ValueError(f"Prompt '{prompt_id}' not found in prompt directory") + version_str = f" (version {prompt_version})" if prompt_version else "" + raise ValueError( + f"Prompt '{prompt_id}'{version_str} not found in prompt directory" + ) - # Render the template with variables - rendered_content = self.prompt_manager.render(prompt_id, prompt_variables) + # Render the template with variables (pass version for proper lookup) + rendered_content = self.prompt_manager.render( + prompt_id=prompt_id, + prompt_variables=prompt_variables, + version=prompt_version, + ) # Convert rendered content to chat messages messages = self._convert_to_messages(rendered_content) diff --git a/litellm/integrations/dotprompt/prompt_manager.py b/litellm/integrations/dotprompt/prompt_manager.py index 9623ddab5fb..fc5a325ffe1 100644 --- a/litellm/integrations/dotprompt/prompt_manager.py +++ b/litellm/integrations/dotprompt/prompt_manager.py @@ -183,7 +183,10 @@ class PromptManager: return frontmatter, template_content def render( - self, prompt_id: str, prompt_variables: Optional[Dict[str, Any]] = None + self, + prompt_id: str, + prompt_variables: Optional[Dict[str, Any]] = None, + version: Optional[int] = None, ) -> str: """ Render a prompt template with the given variables. @@ -191,6 +194,7 @@ class PromptManager: Args: prompt_id: The ID of the prompt template to render prompt_variables: Variables to substitute in the template + version: Optional version number. If provided, looks for {prompt_id}.v{version} Returns: The rendered prompt string @@ -199,13 +203,16 @@ class PromptManager: KeyError: If prompt_id is not found ValueError: If template rendering fails """ - if prompt_id not in self.prompts: + # Get the template (versioned or base) + template = self.get_prompt(prompt_id=prompt_id, version=version) + + if template is None: available_prompts = list(self.prompts.keys()) + version_str = f" (version {version})" if version else "" raise KeyError( - f"Prompt '{prompt_id}' not found. Available prompts: {available_prompts}" + f"Prompt '{prompt_id}'{version_str} not found. Available prompts: {available_prompts}" ) - template = self.prompts[prompt_id] variables = prompt_variables or {} # Validate input variables against schema if defined @@ -254,8 +261,26 @@ class PromptManager: return type_mapping.get(schema_type.lower(), str) # type: ignore - def get_prompt(self, prompt_id: str) -> Optional[PromptTemplate]: - """Get a prompt template by ID.""" + def get_prompt( + self, prompt_id: str, version: Optional[int] = None + ) -> Optional[PromptTemplate]: + """ + Get a prompt template by ID and optional version. + + Args: + prompt_id: The base prompt ID + version: Optional version number. If provided, looks for {prompt_id}.v{version} + + Returns: + The prompt template if found, None otherwise + """ + if version is not None: + # Try versioned prompt first: prompt_id.v{version} + versioned_id = f"{prompt_id}.v{version}" + if versioned_id in self.prompts: + return self.prompts[versioned_id] + + # Fall back to base prompt_id return self.prompts.get(prompt_id) def list_prompts(self) -> List[str]: diff --git a/tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt b/tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt new file mode 100644 index 00000000000..29fc6fcb124 --- /dev/null +++ b/tests/test_litellm/integrations/dotprompt/chat_prompt.v1.prompt @@ -0,0 +1,10 @@ +--- +model: gpt-3.5-turbo +temperature: 0.5 +max_tokens: 100 +input: + schema: + user_message: string +--- + +Version 1: {{user_message}} diff --git a/tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt b/tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt new file mode 100644 index 00000000000..dfd3d2955e6 --- /dev/null +++ b/tests/test_litellm/integrations/dotprompt/chat_prompt.v2.prompt @@ -0,0 +1,10 @@ +--- +model: gpt-4 +temperature: 0.9 +max_tokens: 200 +input: + schema: + user_message: string +--- + +Version 2: {{user_message}} diff --git a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py index 77e3e0d4a45..9d7e2b3d382 100644 --- a/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py +++ b/tests/test_litellm/integrations/dotprompt/test_prompt_manager.py @@ -195,6 +195,29 @@ def test_get_prompt_metadata(): assert "output" in metadata +def test_get_prompt_with_version(): + """Test that get_prompt correctly retrieves versioned prompts.""" + prompt_dir = Path(__file__).parent + manager = PromptManager(prompt_directory=str(prompt_dir)) + + # Get base prompt (no version) + base_prompt = manager.get_prompt(prompt_id="chat_prompt") + assert base_prompt is not None + assert "User: {{user_message}}" in base_prompt.content + + # Get version 1 + v1_prompt = manager.get_prompt(prompt_id="chat_prompt", version=1) + assert v1_prompt is not None + assert "Version 1:" in v1_prompt.content + assert v1_prompt.model == "gpt-3.5-turbo" + + # Get version 2 + v2_prompt = manager.get_prompt(prompt_id="chat_prompt", version=2) + assert v2_prompt is not None + assert "Version 2:" in v2_prompt.content + assert v2_prompt.model == "gpt-4" + + def test_add_prompt_programmatically(): """Test adding prompts programmatically.""" prompt_dir = Path( @@ -597,3 +620,123 @@ async def test_dotprompt_auto_detection_with_model_only(): finally: # Restore original callbacks litellm.callbacks = original_callbacks + + +@pytest.mark.asyncio +async def test_dotprompt_with_prompt_version(): + """ + Test that dotprompt can load and use specific prompt versions. + Versions are stored as separate files with .v{version}.prompt naming convention. + """ + from litellm.integrations.dotprompt import DotpromptManager + from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler + + prompt_dir = Path(__file__).parent + dotprompt_manager = DotpromptManager(prompt_directory=str(prompt_dir)) + + # Register the dotprompt manager in callbacks + original_callbacks = litellm.callbacks.copy() + litellm.callbacks = [dotprompt_manager] + + try: + # Mock the HTTP handler to avoid actual API calls + with patch("litellm.llms.custom_httpx.llm_http_handler.AsyncHTTPHandler.post") as mock_post: + mock_response_data = litellm.ModelResponse( + choices=[ + litellm.Choices( + message=litellm.Message(content="Hello!"), + index=0, + finish_reason="stop", + ) + ] + ).model_dump() + + # Create a proper mock response + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = json.dumps(mock_response_data) + mock_response.headers = {"Content-Type": "application/json"} + mock_response.json.return_value = mock_response_data + + mock_post.return_value = mock_response + + # Test version 1 + await litellm.acompletion( + model="gpt-3.5-turbo", + prompt_id="chat_prompt", + prompt_version=1, + prompt_variables={"user_message": "Test v1"}, + messages=[], + ) + + assert mock_post.call_count >= 1 + data_str = mock_post.call_args.kwargs.get("data", "{}") + request_body = json.loads(data_str) + + print(f"Version 1 request body: {json.dumps(request_body, indent=2)}") + + # Verify version 1 prompt was used + # chat_prompt.v1.prompt has: model: gpt-3.5-turbo, temperature: 0.5, max_tokens: 100 + assert request_body["model"] == "gpt-3.5-turbo" + + # Verify the message contains "Version 1:" prefix from v1 template + messages = request_body["messages"] + assert len(messages) >= 1 + first_message_content = messages[0]["content"] + print(f"Version 1 message: {first_message_content}") + assert "Version 1:" in first_message_content + assert "Test v1" in first_message_content + + # Reset mock for version 2 test + mock_post.reset_mock() + + # Test version 2 + with patch("litellm.llms.custom_httpx.llm_http_handler.AsyncHTTPHandler.post") as mock_post: + mock_response_data = litellm.ModelResponse( + choices=[ + litellm.Choices( + message=litellm.Message(content="Hello!"), + index=0, + finish_reason="stop", + ) + ] + ).model_dump() + + # Create a proper mock response + mock_response = MagicMock() + mock_response.status_code = 200 + mock_response.text = json.dumps(mock_response_data) + mock_response.headers = {"Content-Type": "application/json"} + mock_response.json.return_value = mock_response_data + + mock_post.return_value = mock_response + + await litellm.acompletion( + model="gpt-4", + prompt_id="chat_prompt", + prompt_version=2, + prompt_variables={"user_message": "Test v2"}, + messages=[], + ) + + mock_post.assert_called_once() + data_str = mock_post.call_args.kwargs.get("data", "{}") + request_body = json.loads(data_str) + + print(f"Version 2 request body: {json.dumps(request_body, indent=2)}") + + # Verify version 2 prompt was used + # chat_prompt.v2.prompt has: model: gpt-4, temperature: 0.9, max_tokens: 200 + assert request_body["model"] == "gpt-4" + + # Verify the message contains "Version 2:" prefix from v2 template + messages = request_body["messages"] + assert len(messages) >= 1 + first_message_content = messages[0]["content"] + print(f"Version 2 message: {first_message_content}") + assert "Version 2:" in first_message_content + assert "Test v2" in first_message_content + + finally: + # Restore original callbacks + litellm.callbacks = original_callbacks From 98dd866b260fbabdb08fb83daf88f011edc75394 Mon Sep 17 00:00:00 2001 From: Naki Date: Thu, 20 Nov 2025 06:17:19 +0900 Subject: [PATCH 27/89] feat(github-copilot): Add Responses API support for gpt-5.1-codex model (#16845) - Implement GithubCopilotResponsesAPIConfig for /responses endpoint - Add support for models requiring responses API (e.g., gpt-5.1-codex) - Auto-detect vision requests and set X-Initiator header - Follow OpenAI Responses API compatibility pattern - Add comprehensive unit tests (16 tests passing) Fixes #16820 --- litellm/__init__.py | 1 + .../responses/transformation.py | 304 ++++++++++++++++++ litellm/utils.py | 2 + ...github_copilot_responses_transformation.py | 303 +++++++++++++++++ 4 files changed, 610 insertions(+) create mode 100644 litellm/llms/github_copilot/responses/transformation.py create mode 100644 tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py diff --git a/litellm/__init__.py b/litellm/__init__.py index c86768490f3..2624565c2c3 100644 --- a/litellm/__init__.py +++ b/litellm/__init__.py @@ -1342,6 +1342,7 @@ from .llms.watsonx.completion.transformation import IBMWatsonXAIConfig from .llms.watsonx.chat.transformation import IBMWatsonXChatConfig from .llms.watsonx.embed.transformation import IBMWatsonXEmbeddingConfig from .llms.github_copilot.chat.transformation import GithubCopilotConfig +from .llms.github_copilot.responses.transformation import GithubCopilotResponsesAPIConfig from .llms.nebius.chat.transformation import NebiusConfig from .llms.wandb.chat.transformation import WandbConfig from .llms.dashscope.chat.transformation import DashScopeChatConfig diff --git a/litellm/llms/github_copilot/responses/transformation.py b/litellm/llms/github_copilot/responses/transformation.py new file mode 100644 index 00000000000..a85c37fd9b8 --- /dev/null +++ b/litellm/llms/github_copilot/responses/transformation.py @@ -0,0 +1,304 @@ +""" +GitHub Copilot Responses API Configuration. + +This module provides the configuration for GitHub Copilot's Responses API, +which is required for models like gpt-5.1-codex that only support the /responses endpoint. + +Implementation based on analysis of the copilot-api project by caozhiyuan: +https://github.com/caozhiyuan/copilot-api +""" +from typing import TYPE_CHECKING, Any, Dict, Optional, Union +from uuid import uuid4 + +from litellm._logging import verbose_logger +from litellm.exceptions import AuthenticationError +from litellm.llms.openai.responses.transformation import OpenAIResponsesAPIConfig +from litellm.types.llms.openai import ( + ResponseInputParam, + ResponsesAPIOptionalRequestParams, +) +from litellm.types.router import GenericLiteLLMParams +from litellm.types.utils import LlmProviders + +from ..authenticator import Authenticator +from ..common_utils import GetAPIKeyError + +if TYPE_CHECKING: + from litellm.litellm_core_utils.litellm_logging import Logging as _LiteLLMLoggingObj + + LiteLLMLoggingObj = _LiteLLMLoggingObj +else: + LiteLLMLoggingObj = Any + +# GitHub Copilot API Constants (from copilot-api) +COPILOT_VERSION = "0.26.7" +EDITOR_PLUGIN_VERSION = f"copilot-chat/{COPILOT_VERSION}" +USER_AGENT = f"GitHubCopilotChat/{COPILOT_VERSION}" +API_VERSION = "2025-04-01" + + +class GithubCopilotResponsesAPIConfig(OpenAIResponsesAPIConfig): + """ + Configuration for GitHub Copilot's Responses API. + + Inherits from OpenAIResponsesAPIConfig since GitHub Copilot's Responses API + is compatible with OpenAI's Responses API specification. + + Key differences from OpenAI: + - Uses OAuth Device Flow authentication (handled by Authenticator) + - Uses api.githubcopilot.com as the API base + - Requires specific headers for VSCode/Copilot integration + - Supports vision requests with special header + - Requires X-Initiator header based on input analysis + + Reference: https://api.githubcopilot.com/ + """ + + GITHUB_COPILOT_API_BASE = "https://api.githubcopilot.com" + + def __init__(self) -> None: + super().__init__() + self.authenticator = Authenticator() + + @property + def custom_llm_provider(self) -> LlmProviders: + """Return the GitHub Copilot provider identifier.""" + return LlmProviders.GITHUB_COPILOT + + def get_supported_openai_params(self, model: str) -> list: + """ + Get supported parameters for GitHub Copilot Responses API. + + GitHub Copilot supports all standard OpenAI Responses API parameters. + """ + return super().get_supported_openai_params(model) + + def map_openai_params( + self, + response_api_optional_params: ResponsesAPIOptionalRequestParams, + model: str, + drop_params: bool, + ) -> Dict: + """ + Map parameters for GitHub Copilot Responses API. + + GitHub Copilot uses the same parameter format as OpenAI, + so no transformation is needed. + """ + return dict(response_api_optional_params) + + def validate_environment( + self, + headers: dict, + model: str, + litellm_params: Optional[GenericLiteLLMParams], + ) -> dict: + """ + Validate environment and set up headers for GitHub Copilot API. + + Uses the Authenticator to obtain GitHub Copilot API key via OAuth Device Flow, + then configures all required headers for the Responses API. + + Headers include: + - Authorization with API key + - Standard GitHub Copilot headers (editor-version, user-agent, etc.) + - X-Initiator based on input analysis + - copilot-vision-request if vision content detected + - User-provided extra_headers (merged with priority) + """ + try: + # Get GitHub Copilot API key via OAuth + api_key = self.authenticator.get_api_key() + + if not api_key: + raise AuthenticationError( + model=model, + llm_provider="github_copilot", + message="GitHub Copilot API key is required. Please authenticate via OAuth Device Flow.", + ) + + # Get default headers (from copilot-api configuration) + default_headers = self._get_default_headers(api_key) + + # Merge with existing headers (user's extra_headers take priority) + merged_headers = {**default_headers, **headers} + + # Analyze input to determine additional headers + input_param = self._get_input_from_params(litellm_params) + + # Add X-Initiator header based on input analysis + if input_param is not None: + initiator = self._get_initiator(input_param) + merged_headers["X-Initiator"] = initiator + verbose_logger.debug( + f"GitHub Copilot Responses API: Set X-Initiator={initiator}" + ) + + # Add vision header if input contains images + if self._has_vision_input(input_param): + merged_headers["copilot-vision-request"] = "true" + verbose_logger.debug( + "GitHub Copilot Responses API: Enabled vision request" + ) + + verbose_logger.debug( + f"GitHub Copilot Responses API: Successfully configured headers for model {model}" + ) + + return merged_headers + + except GetAPIKeyError as e: + raise AuthenticationError( + model=model, + llm_provider="github_copilot", + message=str(e), + ) + + def get_complete_url( + self, + api_base: Optional[str], + litellm_params: dict, + ) -> str: + """ + Get the complete URL for GitHub Copilot Responses API endpoint. + + Returns: https://api.githubcopilot.com/responses + + Note: Currently only supports individual accounts. + Business/enterprise accounts (api.business.githubcopilot.com) can be + added in the future by detecting account type. + """ + # Use provided api_base or fall back to authenticator's base or default + api_base = ( + api_base + or self.authenticator.get_api_base() + or self.GITHUB_COPILOT_API_BASE + ) + + # Remove trailing slashes + api_base = api_base.rstrip("/") + + # Return the responses endpoint + return f"{api_base}/responses" + + # ==================== Helper Methods ==================== + + def _get_default_headers(self, api_key: str) -> Dict[str, str]: + """ + Get default headers for GitHub Copilot Responses API. + + Based on copilot-api's header configuration. + """ + return { + "Authorization": f"Bearer {api_key}", + "content-type": "application/json", + "copilot-integration-id": "vscode-chat", + "editor-version": "vscode/1.95.0", # Fixed version for stability + "editor-plugin-version": EDITOR_PLUGIN_VERSION, + "user-agent": USER_AGENT, + "openai-intent": "conversation-panel", + "x-github-api-version": API_VERSION, + "x-request-id": str(uuid4()), + "x-vscode-user-agent-library-version": "electron-fetch", + } + + def _get_input_from_params( + self, litellm_params: Optional[GenericLiteLLMParams] + ) -> Optional[Union[str, ResponseInputParam]]: + """ + Extract input parameter from litellm_params. + + The input parameter contains the conversation history and is needed + for vision detection and initiator determination. + """ + if litellm_params is None: + return None + + # Try to get input from litellm_params + # This might be in different locations depending on how LiteLLM structures it + if hasattr(litellm_params, "input"): + return litellm_params.input + + # If not found, return None and let the API handle it + return None + + def _get_initiator(self, input_param: Union[str, ResponseInputParam]) -> str: + """ + Determine X-Initiator header value based on input analysis. + + Based on copilot-api's hasAgentInitiator logic: + - Returns "agent" if input contains assistant role or items without role + - Returns "user" otherwise + + Args: + input_param: The input parameter (string or list of input items) + + Returns: + "agent" or "user" + """ + # If input is a string, it's user-initiated + if isinstance(input_param, str): + return "user" + + # If input is a list, analyze items + if isinstance(input_param, list): + for item in input_param: + if not isinstance(item, dict): + continue + + # Check if item has no role (agent-initiated) + if "role" not in item or not item.get("role"): + return "agent" + + # Check if role is assistant (agent-initiated) + role = item.get("role") + if isinstance(role, str) and role.lower() == "assistant": + return "agent" + + # Default to user-initiated + return "user" + + def _has_vision_input(self, input_param: Union[str, ResponseInputParam]) -> bool: + """ + Check if input contains vision content (images). + + Based on copilot-api's hasVisionInput and containsVisionContent logic. + Recursively searches for input_image type in the input structure. + + Args: + input_param: The input parameter to analyze + + Returns: + True if input contains image content, False otherwise + """ + return self._contains_vision_content(input_param) + + def _contains_vision_content(self, value: Any) -> bool: + """ + Recursively check if a value contains vision content. + + Looks for items with type="input_image" in the structure. + """ + if value is None: + return False + + # Check arrays + if isinstance(value, list): + return any(self._contains_vision_content(item) for item in value) + + # Only check dict/object types + if not isinstance(value, dict): + return False + + # Check if this item is an input_image + item_type = value.get("type") + if isinstance(item_type, str) and item_type.lower() == "input_image": + return True + + # Check content field recursively + if "content" in value and isinstance(value["content"], list): + return any( + self._contains_vision_content(item) for item in value["content"] + ) + + return False diff --git a/litellm/utils.py b/litellm/utils.py index 47fd06a9f27..2e80a0bb5bf 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -7389,6 +7389,8 @@ class ProviderConfigManager: return litellm.AzureOpenAIResponsesAPIConfig() elif litellm.LlmProviders.XAI == provider: return litellm.XAIResponsesAPIConfig() + elif litellm.LlmProviders.GITHUB_COPILOT == provider: + return litellm.GithubCopilotResponsesAPIConfig() elif litellm.LlmProviders.LITELLM_PROXY == provider: return litellm.LiteLLMProxyResponsesAPIConfig() return None diff --git a/tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py b/tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py new file mode 100644 index 00000000000..d6032c61c60 --- /dev/null +++ b/tests/test_litellm/llms/github_copilot/responses/test_github_copilot_responses_transformation.py @@ -0,0 +1,303 @@ +""" +Tests for GitHub Copilot Responses API transformation + +Tests the GithubCopilotResponsesAPIConfig class that handles GitHub Copilot-specific +transformations for the Responses API. + +Source: litellm/llms/github_copilot/responses/transformation.py +""" +import sys +import os +from unittest.mock import patch, MagicMock + +sys.path.insert(0, os.path.abspath("../../../../..")) + +import pytest +from litellm.types.utils import LlmProviders +from litellm.utils import ProviderConfigManager +from litellm.llms.github_copilot.responses.transformation import ( + GithubCopilotResponsesAPIConfig, +) +from litellm.types.llms.openai import ResponsesAPIOptionalRequestParams + + +class TestGithubCopilotResponsesAPITransformation: + """Test GitHub Copilot Responses API configuration and transformations""" + + def test_github_copilot_provider_config_registration(self): + """Test that GitHub Copilot provider returns GithubCopilotResponsesAPIConfig""" + config = ProviderConfigManager.get_provider_responses_api_config( + model="github_copilot/gpt-5.1-codex", + provider=LlmProviders.GITHUB_COPILOT, + ) + + assert ( + config is not None + ), "Config should not be None for GitHub Copilot provider" + assert isinstance( + config, GithubCopilotResponsesAPIConfig + ), f"Expected GithubCopilotResponsesAPIConfig, got {type(config)}" + assert ( + config.custom_llm_provider == LlmProviders.GITHUB_COPILOT + ), "custom_llm_provider should be GITHUB_COPILOT" + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_github_copilot_responses_endpoint_url(self, mock_authenticator_class): + """Test that get_complete_url returns correct GitHub Copilot endpoint""" + # Mock authenticator to return default base + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_base.return_value = ( + "https://api.individual.githubcopilot.com" + ) + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + # Test with default GitHub Copilot API base (from authenticator) + url = config.get_complete_url(api_base=None, litellm_params={}) + assert url == "https://api.individual.githubcopilot.com/responses", ( + f"Expected GitHub Copilot responses endpoint, got {url}" + ) + + # Test with custom api_base (overrides authenticator) + custom_url = config.get_complete_url( + api_base="https://custom.githubcopilot.com", litellm_params={} + ) + assert custom_url == "https://custom.githubcopilot.com/responses", ( + f"Expected custom endpoint, got {custom_url}" + ) + + # Test with trailing slash + url_with_slash = config.get_complete_url( + api_base="https://api.githubcopilot.com/", litellm_params={} + ) + assert url_with_slash == "https://api.githubcopilot.com/responses", ( + "Should handle trailing slash" + ) + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_default_headers(self, mock_authenticator_class): + """Test that validate_environment generates correct default headers""" + # Mock the authenticator + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key-123" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + headers = config.validate_environment( + headers={}, model="gpt-5.1-codex", litellm_params={} + ) + + # Check required headers + assert headers["Authorization"] == "Bearer test-api-key-123" + assert headers["content-type"] == "application/json" + assert headers["copilot-integration-id"] == "vscode-chat" + assert headers["editor-version"] == "vscode/1.95.0" + assert headers["editor-plugin-version"] == "copilot-chat/0.26.7" + assert headers["user-agent"] == "GitHubCopilotChat/0.26.7" + assert headers["openai-intent"] == "conversation-panel" + assert headers["x-github-api-version"] == "2025-04-01" + assert "x-request-id" in headers + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_user_headers_override(self, mock_authenticator_class): + """Test that user-provided headers override default headers""" + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key-123" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + custom_headers = { + "editor-version": "custom/2.0.0", + "custom-header": "custom-value", + } + + headers = config.validate_environment( + headers=custom_headers, model="gpt-5.1-codex", litellm_params={} + ) + + # User header should override default + assert headers["editor-version"] == "custom/2.0.0" + # Custom header should be preserved + assert headers["custom-header"] == "custom-value" + # Default headers should still be present + assert headers["Authorization"] == "Bearer test-api-key-123" + + def test_get_initiator_with_assistant_role(self): + """Test _get_initiator returns 'agent' for assistant role""" + config = GithubCopilotResponsesAPIConfig() + + input_with_assistant = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi there"}, + ] + + initiator = config._get_initiator(input_with_assistant) + assert initiator == "agent", "Should return 'agent' for assistant role" + + def test_get_initiator_with_no_role(self): + """Test _get_initiator returns 'agent' for items without role""" + config = GithubCopilotResponsesAPIConfig() + + input_without_role = [ + {"role": "user", "content": "Hello"}, + {"type": "reasoning", "content": "thinking..."}, # No role field + ] + + initiator = config._get_initiator(input_without_role) + assert initiator == "agent", "Should return 'agent' for items without role" + + def test_get_initiator_with_user_only(self): + """Test _get_initiator returns 'user' for user-only messages""" + config = GithubCopilotResponsesAPIConfig() + + input_user_only = [{"role": "user", "content": "Hello"}] + + initiator = config._get_initiator(input_user_only) + assert initiator == "user", "Should return 'user' for user-only messages" + + def test_get_initiator_with_string_input(self): + """Test _get_initiator returns 'user' for string input""" + config = GithubCopilotResponsesAPIConfig() + + initiator = config._get_initiator("Hello, how are you?") + assert initiator == "user", "Should return 'user' for string input" + + def test_has_vision_input_with_input_image(self): + """Test _has_vision_input detects input_image type""" + config = GithubCopilotResponsesAPIConfig() + + input_with_vision = [ + {"role": "user", "content": [{"type": "input_image", "data": "base64..."}]} + ] + + has_vision = config._has_vision_input(input_with_vision) + assert has_vision is True, "Should detect input_image type" + + def test_has_vision_input_nested(self): + """Test _has_vision_input detects nested input_image""" + config = GithubCopilotResponsesAPIConfig() + + input_nested_vision = [ + { + "role": "user", + "content": [ + {"type": "text", "text": "What's in this image?"}, + { + "type": "multipart", + "content": [{"type": "input_image", "data": "base64..."}], + }, + ], + } + ] + + has_vision = config._has_vision_input(input_nested_vision) + assert has_vision is True, "Should detect nested input_image" + + def test_has_vision_input_without_vision(self): + """Test _has_vision_input returns False for text-only input""" + config = GithubCopilotResponsesAPIConfig() + + input_text_only = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi"}, + ] + + has_vision = config._has_vision_input(input_text_only) + assert has_vision is False, "Should return False for text-only input" + + def test_has_vision_input_with_string(self): + """Test _has_vision_input returns False for string input""" + config = GithubCopilotResponsesAPIConfig() + + has_vision = config._has_vision_input("Just a text message") + assert has_vision is False, "Should return False for string input" + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_with_vision_header(self, mock_authenticator_class): + """Test that copilot-vision-request header is added for vision input""" + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + # Create mock litellm_params with input attribute + mock_litellm_params = MagicMock() + mock_litellm_params.input = [ + { + "role": "user", + "content": [{"type": "input_image", "data": "base64..."}], + } + ] + + headers = config.validate_environment( + headers={}, model="gpt-5.1-codex", litellm_params=mock_litellm_params + ) + + assert headers.get("copilot-vision-request") == "true", ( + "Should add copilot-vision-request header for vision input" + ) + + @patch("litellm.llms.github_copilot.responses.transformation.Authenticator") + def test_validate_environment_with_x_initiator(self, mock_authenticator_class): + """Test that X-Initiator header is set based on input""" + mock_auth_instance = MagicMock() + mock_auth_instance.get_api_key.return_value = "test-api-key" + mock_authenticator_class.return_value = mock_auth_instance + + config = GithubCopilotResponsesAPIConfig() + + # Create mock litellm_params with input attribute + mock_litellm_params = MagicMock() + mock_litellm_params.input = [ + {"role": "user", "content": "Hello"}, + {"role": "assistant", "content": "Hi"}, + ] + + headers = config.validate_environment( + headers={}, model="gpt-5.1-codex", litellm_params=mock_litellm_params + ) + + assert headers.get("X-Initiator") == "agent", ( + "Should set X-Initiator to 'agent' for assistant role" + ) + + def test_map_openai_params_no_transformation(self): + """Test that map_openai_params passes through parameters unchanged""" + config = GithubCopilotResponsesAPIConfig() + + params = ResponsesAPIOptionalRequestParams( + temperature=0.7, max_output_tokens=1000, stream=False + ) + + result = config.map_openai_params( + response_api_optional_params=params, model="gpt-5.1-codex", drop_params=False + ) + + assert result.get("temperature") == 0.7 + assert result.get("max_output_tokens") == 1000 + assert result.get("stream") is False + + def test_get_supported_openai_params(self): + """Test that get_supported_openai_params returns expected parameters""" + config = GithubCopilotResponsesAPIConfig() + + supported = config.get_supported_openai_params("gpt-5.1-codex") + + # Should include standard OpenAI Responses API parameters + expected_params = [ + "model", + "input", + "instructions", + "temperature", + "max_output_tokens", + "stream", + "tools", + "tool_choice", + ] + + for param in expected_params: + assert param in supported, f"{param} should be in supported params" From c7cf18cf67423d93ab171f7122c5b87f0bcfa5db Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 13:19:56 -0800 Subject: [PATCH 28/89] [Feat] Prompt Management - Allow storing prompt version in DB (#16848) * test_dotprompt_auto_detection_with_model_only * fix _auto_detect_prompt_management_logger * test_dotprompt_with_prompt_version * add v1, v2 tests * add _compile_prompt_helper * fix _compile_prompt_helper * test_dotprompt_with_prompt_version * test_dotprompt_with_prompt_version, test_get_prompt_with_version * add version in schema * feat add _get_prompt_spec_for_db_prompt * add _get_prompt_spec_for_db_prompt * feat add _get_prompt_spec_for_db_prompt * update prompt table * add version in prompt DB * test_get_prompt_spec_for_db_prompt_with_versions --- .../migration.sql | 12 ++ .../litellm_proxy_extras/schema.prisma | 6 +- litellm/proxy/prompts/prompt_endpoints.py | 139 +++++++++++++----- litellm/proxy/proxy_server.py | 32 +++- litellm/proxy/schema.prisma | 6 +- schema.prisma | 6 +- tests/test_litellm/proxy/test_proxy_server.py | 44 ++++++ 7 files changed, 203 insertions(+), 42 deletions(-) create mode 100644 litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql diff --git a/litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql b/litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql new file mode 100644 index 00000000000..a9d9528bd24 --- /dev/null +++ b/litellm-proxy-extras/litellm_proxy_extras/migrations/20251119131227_add_prompt_versioning/migration.sql @@ -0,0 +1,12 @@ +-- DropIndex +DROP INDEX "LiteLLM_PromptTable_prompt_id_key"; + +-- AlterTable +ALTER TABLE "LiteLLM_PromptTable" ADD COLUMN "version" INTEGER NOT NULL DEFAULT 1; + +-- CreateIndex +CREATE INDEX "LiteLLM_PromptTable_prompt_id_idx" ON "LiteLLM_PromptTable"("prompt_id"); + +-- CreateIndex +CREATE UNIQUE INDEX "LiteLLM_PromptTable_prompt_id_version_key" ON "LiteLLM_PromptTable"("prompt_id", "version"); + diff --git a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma index d6b7cebbd14..6cfbb90c362 100644 --- a/litellm-proxy-extras/litellm_proxy_extras/schema.prisma +++ b/litellm-proxy-extras/litellm_proxy_extras/schema.prisma @@ -561,11 +561,15 @@ model LiteLLM_GuardrailsTable { // Prompt table for storing prompt configurations model LiteLLM_PromptTable { id String @id @default(uuid()) - prompt_id String @unique + prompt_id String + version Int @default(1) litellm_params Json prompt_info Json? created_at DateTime @default(now()) updated_at DateTime @updatedAt + + @@unique([prompt_id, version]) + @@index([prompt_id]) } model LiteLLM_HealthCheckTable { diff --git a/litellm/proxy/prompts/prompt_endpoints.py b/litellm/proxy/prompts/prompt_endpoints.py index 9ab63895ae7..b4677ed374b 100644 --- a/litellm/proxy/prompts/prompt_endpoints.py +++ b/litellm/proxy/prompts/prompt_endpoints.py @@ -21,10 +21,76 @@ from litellm.types.prompts.init_prompts import ( PromptTemplateBase, ) - router = APIRouter() +async def get_next_version_for_prompt(prisma_client, prompt_id: str) -> int: + """ + Get the next version number for a prompt. + + Args: + prisma_client: Prisma database client + prompt_id: Base prompt ID + + Returns: + Next version number (1 if no versions exist, max_version + 1 otherwise) + """ + existing_prompts = await prisma_client.db.litellm_prompttable.find_many( + where={"prompt_id": prompt_id} + ) + + if existing_prompts: + max_version = max(p.version for p in existing_prompts) + return max_version + 1 + else: + return 1 + + +def create_versioned_prompt_spec(db_prompt) -> PromptSpec: + """ + Helper function to create a PromptSpec with versioned prompt_id from a DB prompt entry. + + Args: + db_prompt: The DB prompt object (from prisma) + + Returns: + PromptSpec with versioned prompt_id (e.g., "chat_prompt.v1") + """ + import json + + from litellm.types.prompts.init_prompts import PromptLiteLLMParams + + prompt_dict = db_prompt.model_dump() + base_prompt_id = prompt_dict["prompt_id"] + version = prompt_dict.get("version", 1) + + # Parse litellm_params + litellm_params_data = prompt_dict.get("litellm_params") + if isinstance(litellm_params_data, str): + litellm_params_data = json.loads(litellm_params_data) + litellm_params = PromptLiteLLMParams(**litellm_params_data) + + # Parse prompt_info + prompt_info_data = prompt_dict.get("prompt_info") + if prompt_info_data: + if isinstance(prompt_info_data, str): + prompt_info_data = json.loads(prompt_info_data) + prompt_info = PromptInfo(**prompt_info_data) + else: + prompt_info = PromptInfo(prompt_type="db") + + # Create versioned prompt_id + versioned_prompt_id = f"{base_prompt_id}.v{version}" + + return PromptSpec( + prompt_id=versioned_prompt_id, + litellm_params=litellm_params, + prompt_info=prompt_info, + created_at=prompt_dict.get("created_at"), + updated_at=prompt_dict.get("updated_at"), + ) + + class Prompt(BaseModel): prompt_id: str litellm_params: PromptLiteLLMParams @@ -261,19 +327,16 @@ async def create_prompt( ) try: - # Create the prompt spec - # Check if prompt exists and get current data - existing_prompt = IN_MEMORY_PROMPT_REGISTRY.get_prompt_by_id(request.prompt_id) - if existing_prompt is not None: - raise HTTPException( - status_code=404, - detail=f"Prompt with ID {request.prompt_id} already exists", - ) + # Get next version number + new_version = await get_next_version_for_prompt( + prisma_client=prisma_client, prompt_id=request.prompt_id + ) - # store prompt in db + # Store prompt in db with version prompt_db_entry = await prisma_client.db.litellm_prompttable.create( data={ "prompt_id": request.prompt_id, + "version": new_version, "litellm_params": request.litellm_params.model_dump_json(), "prompt_info": ( request.prompt_info.model_dump_json() @@ -283,7 +346,8 @@ async def create_prompt( } ) - prompt_spec = PromptSpec(**prompt_db_entry.model_dump()) + # Create versioned prompt spec + prompt_spec = create_versioned_prompt_spec(db_prompt=prompt_db_entry) # Initialize the prompt initialized_prompt = IN_MEMORY_PROMPT_REGISTRY.initialize_prompt( @@ -354,45 +418,50 @@ async def update_prompt( ) try: - # Check if prompt exists - existing_prompt = IN_MEMORY_PROMPT_REGISTRY.get_prompt_by_id(prompt_id) - if existing_prompt is None: + # Check if any version exists + existing_prompts = await prisma_client.db.litellm_prompttable.find_many( + where={"prompt_id": request.prompt_id} + ) + + if not existing_prompts: raise HTTPException( - status_code=404, detail=f"Prompt with ID {prompt_id} not found" + status_code=404, detail=f"Prompt with ID {request.prompt_id} not found" ) - if existing_prompt.prompt_info.prompt_type == "config": + # Check if it's a config prompt + base_prompt_id = request.prompt_id + existing_in_memory = IN_MEMORY_PROMPT_REGISTRY.get_prompt_by_id(base_prompt_id) + if existing_in_memory and existing_in_memory.prompt_info.prompt_type == "config": raise HTTPException( status_code=400, detail="Cannot update config prompts.", ) - # Create updated prompt spec - updated_prompt_spec = PromptSpec( - prompt_id=prompt_id, - litellm_params=request.litellm_params, - prompt_info=request.prompt_info or PromptInfo(prompt_type="db"), - created_at=existing_prompt.created_at, - updated_at=datetime.now(), + # Get next version number (UPDATE creates a new version) + new_version = await get_next_version_for_prompt( + prisma_client=prisma_client, prompt_id=request.prompt_id ) - updated_prompt_db_entry = await prisma_client.db.litellm_prompttable.update( - where={"prompt_id": prompt_id}, + # Store new version in db + prompt_db_entry = await prisma_client.db.litellm_prompttable.create( data={ - "litellm_params": updated_prompt_spec.litellm_params.model_dump_json(), - "prompt_info": updated_prompt_spec.prompt_info.model_dump_json(), - }, + "prompt_id": request.prompt_id, + "version": new_version, + "litellm_params": request.litellm_params.model_dump_json(), + "prompt_info": ( + request.prompt_info.model_dump_json() + if request.prompt_info + else PromptInfo(prompt_type="db").model_dump_json() + ), + } ) - # Remove the old prompt from memory - del IN_MEMORY_PROMPT_REGISTRY.IN_MEMORY_PROMPTS[prompt_id] - if prompt_id in IN_MEMORY_PROMPT_REGISTRY.prompt_id_to_custom_prompt: - del IN_MEMORY_PROMPT_REGISTRY.prompt_id_to_custom_prompt[prompt_id] + # Create versioned prompt spec + prompt_spec = create_versioned_prompt_spec(db_prompt=prompt_db_entry) - # Initialize the updated prompt + # Initialize the new version initialized_prompt = IN_MEMORY_PROMPT_REGISTRY.initialize_prompt( - prompt=PromptSpec(**updated_prompt_db_entry.model_dump()), - config_file_path=None, + prompt=prompt_spec, config_file_path=None ) if initialized_prompt is None: diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 1bc96556136..4040b0aa707 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -273,7 +273,9 @@ from litellm.proxy.management_endpoints.customer_endpoints import ( from litellm.proxy.management_endpoints.internal_user_endpoints import ( router as internal_user_router, ) -from litellm.proxy.management_endpoints.internal_user_endpoints import user_update +from litellm.proxy.management_endpoints.internal_user_endpoints import ( + user_update, +) from litellm.proxy.management_endpoints.key_management_endpoints import ( delete_verification_tokens, duration_in_seconds, @@ -327,7 +329,9 @@ from litellm.proxy.ocr_endpoints.endpoints import router as ocr_router from litellm.proxy.openai_files_endpoints.files_endpoints import ( router as openai_files_router, ) -from litellm.proxy.openai_files_endpoints.files_endpoints import set_files_config +from litellm.proxy.openai_files_endpoints.files_endpoints import ( + set_files_config, +) from litellm.proxy.pass_through_endpoints.llm_passthrough_endpoints import ( passthrough_endpoint_router, ) @@ -417,7 +421,9 @@ from litellm.types.proxy.management_endpoints.ui_sso import ( LiteLLM_UpperboundKeyGenerateParams, ) from litellm.types.realtime import RealtimeQueryParams -from litellm.types.router import DeploymentTypedDict +from litellm.types.router import ( + DeploymentTypedDict, +) from litellm.types.router import ModelInfo as RouterModelInfo from litellm.types.router import ( RouterGeneralSettings, @@ -3576,14 +3582,32 @@ class ProxyConfig: verbose_proxy_logger.exception( f"Error in _check_and_reload_model_cost_map: {str(e)}" ) + def _get_prompt_spec_for_db_prompt(self, db_prompt): + """ + Convert a DB prompt object to a PromptSpec object. + + Handles the versioning of the prompt, if the DB prompt has a version, it will be used to create the versioned prompt_id. + + Args: + db_prompt: The DB prompt object + + Returns: + The PromptSpec object + """ + from litellm.proxy.prompts.prompt_endpoints import create_versioned_prompt_spec + + return create_versioned_prompt_spec(db_prompt=db_prompt) async def _init_prompts_in_db(self, prisma_client: PrismaClient): from litellm.proxy.prompts.prompt_registry import IN_MEMORY_PROMPT_REGISTRY + from litellm.types.prompts.init_prompts import PromptSpec try: prompts_in_db = await prisma_client.db.litellm_prompttable.find_many() for prompt in prompts_in_db: - IN_MEMORY_PROMPT_REGISTRY.initialize_prompt(prompt=prompt) + # Convert DB object to dict and create versioned prompt_id + prompt_spec = self._get_prompt_spec_for_db_prompt(db_prompt=prompt) + IN_MEMORY_PROMPT_REGISTRY.initialize_prompt(prompt=prompt_spec) except Exception as e: verbose_proxy_logger.debug( "litellm.proxy.proxy_server.py::ProxyConfig:_init_prompts_in_db - {}".format( diff --git a/litellm/proxy/schema.prisma b/litellm/proxy/schema.prisma index d6b7cebbd14..6cfbb90c362 100644 --- a/litellm/proxy/schema.prisma +++ b/litellm/proxy/schema.prisma @@ -561,11 +561,15 @@ model LiteLLM_GuardrailsTable { // Prompt table for storing prompt configurations model LiteLLM_PromptTable { id String @id @default(uuid()) - prompt_id String @unique + prompt_id String + version Int @default(1) litellm_params Json prompt_info Json? created_at DateTime @default(now()) updated_at DateTime @updatedAt + + @@unique([prompt_id, version]) + @@index([prompt_id]) } model LiteLLM_HealthCheckTable { diff --git a/schema.prisma b/schema.prisma index d6b7cebbd14..6cfbb90c362 100644 --- a/schema.prisma +++ b/schema.prisma @@ -561,11 +561,15 @@ model LiteLLM_GuardrailsTable { // Prompt table for storing prompt configurations model LiteLLM_PromptTable { id String @id @default(uuid()) - prompt_id String @unique + prompt_id String + version Int @default(1) litellm_params Json prompt_info Json? created_at DateTime @default(now()) updated_at DateTime @updatedAt + + @@unique([prompt_id, version]) + @@index([prompt_id]) } model LiteLLM_HealthCheckTable { diff --git a/tests/test_litellm/proxy/test_proxy_server.py b/tests/test_litellm/proxy/test_proxy_server.py index 865dc1b19aa..8e87b67933f 100644 --- a/tests/test_litellm/proxy/test_proxy_server.py +++ b/tests/test_litellm/proxy/test_proxy_server.py @@ -2450,3 +2450,47 @@ async def test_init_sso_settings_in_db_empty_settings(): # Verify empty dictionary assert uppercased_settings == {} + +def test_get_prompt_spec_for_db_prompt_with_versions(): + """ + Test that _get_prompt_spec_for_db_prompt correctly converts database prompts + to PromptSpec with versioned naming convention. + """ + from unittest.mock import MagicMock + + from litellm.proxy.proxy_server import ProxyConfig + + proxy_config = ProxyConfig() + + # Mock database prompt version 1 + mock_prompt_v1 = MagicMock() + mock_prompt_v1.model_dump.return_value = { + "id": "uuid-1", + "prompt_id": "chat_prompt", + "version": 1, + "litellm_params": '{"prompt_id": "chat_prompt", "prompt_integration": "dotprompt", "model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "v1 content"}]}', + "prompt_info": '{"prompt_type": "db"}', + "created_at": "2024-01-01T00:00:00", + "updated_at": "2024-01-01T00:00:00", + } + + # Mock database prompt version 2 + mock_prompt_v2 = MagicMock() + mock_prompt_v2.model_dump.return_value = { + "id": "uuid-2", + "prompt_id": "chat_prompt", + "version": 2, + "litellm_params": '{"prompt_id": "chat_prompt", "prompt_integration": "dotprompt", "model": "gpt-4", "messages": [{"role": "user", "content": "v2 content"}]}', + "prompt_info": '{"prompt_type": "db"}', + "created_at": "2024-01-02T00:00:00", + "updated_at": "2024-01-02T00:00:00", + } + + # Test version 1 + prompt_spec_v1 = proxy_config._get_prompt_spec_for_db_prompt(db_prompt=mock_prompt_v1) + assert prompt_spec_v1.prompt_id == "chat_prompt.v1" + + # Test version 2 + prompt_spec_v2 = proxy_config._get_prompt_spec_for_db_prompt(db_prompt=mock_prompt_v2) + assert prompt_spec_v2.prompt_id == "chat_prompt.v2" + From 6477740b8c0c416130ccaa08d6b5a8913f3ff69d Mon Sep 17 00:00:00 2001 From: Ishaan Jaffer Date: Wed, 19 Nov 2025 13:23:16 -0800 Subject: [PATCH 29/89] bump proxy extras --- ...itellm_proxy_extras-0.4.6-py3-none-any.whl | Bin 0 -> 37547 bytes .../dist/litellm_proxy_extras-0.4.6.tar.gz | Bin 0 -> 17434 bytes litellm-proxy-extras/pyproject.toml | 4 +- poetry.lock | 105 +----------------- pyproject.toml | 2 +- requirements.txt | 2 +- 6 files changed, 10 insertions(+), 103 deletions(-) create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.4.6-py3-none-any.whl create mode 100644 litellm-proxy-extras/dist/litellm_proxy_extras-0.4.6.tar.gz diff --git 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Reduces the size of the main litellm package." authors = ["BerriAI"] readme = "README.md" @@ -22,7 +22,7 @@ requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" [tool.commitizen] -version = "0.4.5" +version = "0.4.6" version_files = [ "pyproject.toml:version", "../requirements.txt:litellm-proxy-extras==", diff --git a/poetry.lock b/poetry.lock index 8a9b4fbb60b..32460b91c91 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 2.2.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 2.2.0 and should not be changed by hand. 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Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- package-lock.json | 2873 +-------------------------------------------- 1 file changed, 5 insertions(+), 2868 deletions(-) diff --git a/package-lock.json b/package-lock.json index 302ec856788..6aee34db53a 100644 --- a/package-lock.json +++ b/package-lock.json @@ -10,16 +10,10 @@ "react-copy-to-clipboard": "^5.1.0" }, "devDependencies": { - "@babel/core": "^7.28.4", - "@babel/preset-env": "^7.28.3", - "@babel/preset-react": "^7.27.1", - "@babel/preset-typescript": "^7.27.1", "@testing-library/jest-dom": "^6.8.0", "@testing-library/react": "^14.3.1", "@types/react-copy-to-clipboard": "^5.0.7", - "babel-jest": "^30.1.2", - "jest": "^29.7.0", - "jest-environment-jsdom": "^30.1.2" + "jest": "^29.7.0" } }, "node_modules/@adobe/css-tools": { @@ -29,27 +23,6 @@ "dev": true, "license": "MIT" }, - "node_modules/@asamuzakjp/css-color": { - "version": "3.2.0", - "resolved": 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commit 149f3084518d4d70d7d19ab6cff2cd356d108f15. --- ...odel_prices_and_context_window_backup.json | 38 +++++++++---------- model_prices_and_context_window.json | 38 +++++++++---------- 2 files changed, 38 insertions(+), 38 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index 4fe2a19f604..e77e67bf70d 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index 4fe2a19f604..e77e67bf70d 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -14623,7 +14623,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14660,7 +14660,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14696,7 +14696,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14732,7 +14732,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_priority": 2e-05, "supported_endpoints": [ @@ -14835,7 +14835,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "output_cost_per_token_flex": 5e-06, "output_cost_per_token_priority": 2e-05, @@ -14870,7 +14870,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -14902,7 +14902,7 @@ "max_input_tokens": 128000, "max_output_tokens": 16384, "max_tokens": 16384, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1e-05, "supported_endpoints": [ "/v1/chat/completions", @@ -15034,7 +15034,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15073,7 +15073,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 2e-06, "output_cost_per_token_flex": 1e-06, "output_cost_per_token_priority": 3.6e-06, @@ -15111,7 +15111,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -15146,7 +15146,7 @@ "max_input_tokens": 272000, "max_output_tokens": 128000, "max_tokens": 128000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4e-07, "output_cost_per_token_flex": 2e-07, "supported_endpoints": [ @@ -17999,7 +17999,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -18018,7 +18018,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18032,7 +18032,7 @@ "max_input_tokens": 128000, "max_output_tokens": 65536, "max_tokens": 65536, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 1.2e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18046,7 +18046,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18060,7 +18060,7 @@ "max_input_tokens": 128000, "max_output_tokens": 32768, "max_tokens": 32768, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 6e-05, "supports_pdf_input": true, "supports_prompt_caching": true, @@ -18176,7 +18176,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 8e-06, "supported_endpoints": [ "/v1/responses", @@ -18274,7 +18274,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, @@ -18291,7 +18291,7 @@ "max_input_tokens": 200000, "max_output_tokens": 100000, "max_tokens": 100000, - "mode": "responses", + "mode": "chat", "output_cost_per_token": 4.4e-06, "supports_function_calling": true, "supports_parallel_function_calling": false, From cd6256f64ad40ebd3fdb1bf9a610725c135288f0 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 19 Nov 2025 16:26:11 -0800 Subject: [PATCH 32/89] [Feat] Prompt Management - Add UI for editing the prompts (#16853) * v0 for prompt management * v0 * clean up view of prompt editor * commit editor view * refactor prompt editor view * ui - refactor prompt editor * add move message * add prompt editor view * fix allow viewing dotprompt file * add dotprompt_content * handleSave for Prompt * ui fix build fail * ui fix build --- litellm/types/prompts/init_prompts.py | 5 + .../src/components/prompts.tsx | 26 +- .../src/components/prompts/index.ts | 3 + .../components/prompts/prompt_editor_view.tsx | 3 + .../prompt_editor_view/ConversationPanel.tsx | 21 ++ .../DeveloperMessageCard.tsx | 31 ++ .../prompt_editor_view/DotpromptViewTab.tsx | 32 ++ .../prompt_editor_view/ModelConfigCard.tsx | 98 ++++++ .../prompt_editor_view/PromptEditorHeader.tsx | 51 +++ .../prompt_editor_view/PromptMessagesCard.tsx | 121 ++++++++ .../prompt_editor_view/PublishModal.tsx | 56 ++++ .../prompts/prompt_editor_view/ToolsCard.tsx | 67 ++++ .../prompts/prompt_editor_view/index.tsx | 290 ++++++++++++++++++ .../prompts/prompt_editor_view/types.ts | 30 ++ .../prompts/prompt_editor_view/utils.ts | 76 +++++ .../src/components/prompts/tool_modal.tsx | 89 ++++++ .../components/prompts/variable_textarea.tsx | 163 ++++++++++ ui/litellm-dashboard/tsconfig.tsbuildinfo | 1 + 18 files changed, 1162 insertions(+), 1 deletion(-) create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ConversationPanel.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts create mode 100644 ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts create mode 100644 ui/litellm-dashboard/src/components/prompts/tool_modal.tsx create mode 100644 ui/litellm-dashboard/src/components/prompts/variable_textarea.tsx create mode 100644 ui/litellm-dashboard/tsconfig.tsbuildinfo diff --git a/litellm/types/prompts/init_prompts.py b/litellm/types/prompts/init_prompts.py index 184f0448b33..102ace93a52 100644 --- a/litellm/types/prompts/init_prompts.py +++ b/litellm/types/prompts/init_prompts.py @@ -23,6 +23,11 @@ class PromptLiteLLMParams(BaseModel): prompt_id: str prompt_integration: str + dotprompt_content: Optional[str] = None + """ + allows saving the dotprompt file content + """ + model_config = ConfigDict(extra="allow", protected_namespaces=()) diff --git a/ui/litellm-dashboard/src/components/prompts.tsx b/ui/litellm-dashboard/src/components/prompts.tsx index cf41f36f6c5..a8cdb923f32 100644 --- a/ui/litellm-dashboard/src/components/prompts.tsx +++ b/ui/litellm-dashboard/src/components/prompts.tsx @@ -6,6 +6,7 @@ import { getPromptsList, PromptSpec, ListPromptsResponse, deletePromptCall } fro import PromptTable from "./prompts/prompt_table"; import PromptInfoView from "./prompts/prompt_info"; import AddPromptForm from "./prompts/add_prompt_form"; +import PromptEditorView from "./prompts/prompt_editor_view"; import NotificationsManager from "./molecules/notifications_manager"; import { isAdminRole } from "@/utils/roles"; @@ -19,6 +20,7 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { const [isLoading, setIsLoading] = useState(false); const [selectedPromptId, setSelectedPromptId] = useState(null); const [isAddModalVisible, setIsAddModalVisible] = useState(false); + const [showEditorView, setShowEditorView] = useState(false); const [isDeleting, setIsDeleting] = useState(false); const [promptToDelete, setPromptToDelete] = useState<{ id: string; name: string } | null>(null); @@ -50,6 +52,13 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { }; const handleAddPrompt = () => { + if (selectedPromptId) { + setSelectedPromptId(null); + } + setShowEditorView(true); + }; + + const handleAddPromptFromFile = () => { if (selectedPromptId) { setSelectedPromptId(null); } @@ -60,6 +69,10 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { setIsAddModalVisible(false); }; + const handleCloseEditor = () => { + setShowEditorView(false); + }; + const handleSuccess = () => { fetchPrompts(); }; @@ -91,7 +104,13 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { return (
- {selectedPromptId ? ( + {showEditorView ? ( + + ) : selectedPromptId ? ( setSelectedPromptId(null)} @@ -102,9 +121,14 @@ const PromptsPanel: React.FC = ({ accessToken, userRole }) => { ) : ( <>
+
+ +
{ + return ( +
+
+
+
+ +
+

Your conversation will appear here

+

Save the prompt to test it

+
+
+
+ ); +}; + +export default ConversationPanel; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx new file mode 100644 index 00000000000..8f920ea5534 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DeveloperMessageCard.tsx @@ -0,0 +1,31 @@ +import React from "react"; +import { Card, Text } from "@tremor/react"; +import VariableTextArea from "../variable_textarea"; + +interface DeveloperMessageCardProps { + value: string; + onChange: (value: string) => void; +} + +const DeveloperMessageCard: React.FC = ({ + value, + onChange, +}) => { + return ( + + Developer message + + Optional system instructions for the model + + + + ); +}; + +export default DeveloperMessageCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx new file mode 100644 index 00000000000..7791789fab9 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/DotpromptViewTab.tsx @@ -0,0 +1,32 @@ +import React from "react"; +import { PromptType } from "./types"; +import { convertToDotPrompt } from "./utils"; + +interface DotpromptViewTabProps { + prompt: PromptType; +} + +const DotpromptViewTab: React.FC = ({ prompt }) => { + const dotpromptContent = convertToDotPrompt(prompt); + + return ( +
+
+

+ Generated .prompt file +

+

+ This is the dotprompt format that will be saved to the database +

+
+
+ 
+          {dotpromptContent}
+
+
+
+ ); +}; + +export default DotpromptViewTab; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx new file mode 100644 index 00000000000..1752fdc22b5 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ModelConfigCard.tsx @@ -0,0 +1,98 @@ +import React, { useState } from "react"; +import { Text } from "@tremor/react"; +import { Input } from "antd"; +import { SettingsIcon } from "lucide-react"; +import ModelSelector from "../../common_components/ModelSelector"; + +interface ModelConfigCardProps { + model: string; + temperature?: number; + maxTokens?: number; + accessToken: string | null; + onModelChange: (model: string) => void; + onTemperatureChange: (temp: number) => void; + onMaxTokensChange: (tokens: number) => void; +} + +const ModelConfigCard: React.FC = ({ + model, + temperature = 1, + maxTokens = 1000, + accessToken, + onModelChange, + onTemperatureChange, + onMaxTokensChange, +}) => { + const [showConfig, setShowConfig] = useState(false); + + return ( +
+
+ +
+ + + + {showConfig && ( +
+
+
+

Model Parameters

+ +
+
+
+
+ Temperature + onTemperatureChange(parseFloat(e.target.value) || 0)} + className="w-20" + /> +
+
+
+
+ Max Tokens + onMaxTokensChange(parseInt(e.target.value) || 1000)} + className="w-24" + /> +
+
+
+
+
+ )} +
+ ); +}; + +export default ModelConfigCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx new file mode 100644 index 00000000000..5339e437a0e --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptEditorHeader.tsx @@ -0,0 +1,51 @@ +import React from "react"; +import { Button as TremorButton } from "@tremor/react"; +import { Input } from "antd"; +import { ArrowLeftIcon, SaveIcon } from "lucide-react"; + +interface PromptEditorHeaderProps { + promptName: string; + onNameChange: (name: string) => void; + onBack: () => void; + onSave: () => void; + isSaving: boolean; +} + +const PromptEditorHeader: React.FC = ({ + promptName, + onNameChange, + onBack, + onSave, + isSaving, +}) => { + return ( +
+
+ + Back + + onNameChange(e.target.value)} + className="text-base font-medium border-none shadow-none" + style={{ width: "200px" }} + /> + Draft + Unsaved changes +
+
+ + Save + +
+
+ ); +}; + +export default PromptEditorHeader; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx new file mode 100644 index 00000000000..eb037ff5fc1 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PromptMessagesCard.tsx @@ -0,0 +1,121 @@ +import React, { useState } from "react"; +import { Card, Text } from "@tremor/react"; +import { Select } from "antd"; +import { PlusIcon, TrashIcon, GripVerticalIcon } from "lucide-react"; +import VariableTextArea from "../variable_textarea"; +import { Message } from "./types"; + +const { Option } = Select; + +interface PromptMessagesCardProps { + messages: Message[]; + onAddMessage: () => void; + onUpdateMessage: (index: number, field: "role" | "content", value: string) => void; + onRemoveMessage: (index: number) => void; + onMoveMessage: (fromIndex: number, toIndex: number) => void; +} + +const PromptMessagesCard: React.FC = ({ + messages, + onAddMessage, + onUpdateMessage, + onRemoveMessage, + onMoveMessage, +}) => { + const [draggedIndex, setDraggedIndex] = useState(null); + const [dragOverIndex, setDragOverIndex] = useState(null); + + const handleDragStart = (index: number) => { + setDraggedIndex(index); + }; + + const handleDragOver = (e: React.DragEvent, index: number) => { + e.preventDefault(); + setDragOverIndex(index); + }; + + const handleDrop = (e: React.DragEvent, dropIndex: number) => { + e.preventDefault(); + if (draggedIndex !== null && draggedIndex !== dropIndex) { + onMoveMessage(draggedIndex, dropIndex); + } + setDraggedIndex(null); + setDragOverIndex(null); + }; + + const handleDragEnd = () => { + setDraggedIndex(null); + setDragOverIndex(null); + }; + + return ( + +
+ Prompt messages + + Use {'{{variable}}'} syntax for template variables + +
+
+ {messages.map((message, index) => ( +
handleDragStart(index)} + onDragOver={(e) => handleDragOver(e, index)} + onDrop={(e) => handleDrop(e, index)} + onDragEnd={handleDragEnd} + className={`border border-gray-300 rounded overflow-hidden bg-white transition-all ${ + draggedIndex === index ? "opacity-50" : "" + } ${dragOverIndex === index && draggedIndex !== index ? "border-blue-500 border-2" : ""}`} + > +
+ +
+ {messages.length > 1 && ( + + )} +
+ +
+
+
+
+ onUpdateMessage(index, "content", value)} + rows={3} + placeholder="Enter prompt content..." + /> +
+
+ ))} +
+ + + ); +}; + +export default PromptMessagesCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx new file mode 100644 index 00000000000..411a463c45c --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/PublishModal.tsx @@ -0,0 +1,56 @@ +import React from "react"; +import { Button as TremorButton, Text } from "@tremor/react"; +import { Input, Modal } from "antd"; + +interface PublishModalProps { + visible: boolean; + promptName: string; + isSaving: boolean; + onNameChange: (name: string) => void; + onPublish: () => void; + onCancel: () => void; +} + +const PublishModal: React.FC = ({ + visible, + promptName, + isSaving, + onNameChange, + onPublish, + onCancel, +}) => { + return ( + + + Cancel + + + Publish + +
+ ]} + > +
+ Name + onNameChange(e.target.value)} + placeholder="Enter prompt name" + onPressEnter={onPublish} + autoFocus + /> + + Published prompts can be used in API calls and are versioned for easy tracking. + +
+ + ); +}; + +export default PublishModal; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx new file mode 100644 index 00000000000..53444c5d8e9 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/ToolsCard.tsx @@ -0,0 +1,67 @@ +import React from "react"; +import { Card, Text } from "@tremor/react"; +import { PlusIcon, TrashIcon } from "lucide-react"; +import { Tool } from "./types"; + +interface ToolsCardProps { + tools: Tool[]; + onAddTool: () => void; + onEditTool: (index: number) => void; + onRemoveTool: (index: number) => void; +} + +const ToolsCard: React.FC = ({ + tools, + onAddTool, + onEditTool, + onRemoveTool, +}) => { + return ( + +
+ Tools + +
+ {tools.length === 0 ? ( + No tools added + ) : ( +
+ {tools.map((tool, index) => ( +
+
+
{tool.name}
+
{tool.description}
+
+
+ + +
+
+ ))} +
+ )} + + ); +}; + +export default ToolsCard; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx new file mode 100644 index 00000000000..8ea8f7d5b7a --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/index.tsx @@ -0,0 +1,290 @@ +import React, { useState } from "react"; +import ToolModal from "../tool_modal"; +import NotificationsManager from "../../molecules/notifications_manager"; +import { createPromptCall } from "../../networking"; +import { PromptType, PromptEditorViewProps, Tool } from "./types"; +import { convertToDotPrompt } from "./utils"; +import PromptEditorHeader from "./PromptEditorHeader"; +import ModelConfigCard from "./ModelConfigCard"; +import ToolsCard from "./ToolsCard"; +import DeveloperMessageCard from "./DeveloperMessageCard"; +import PromptMessagesCard from "./PromptMessagesCard"; +import ConversationPanel from "./ConversationPanel"; +import PublishModal from "./PublishModal"; +import DotpromptViewTab from "./DotpromptViewTab"; + +const PromptEditorView: React.FC = ({ onClose, onSuccess, accessToken }) => { + const [prompt, setPrompt] = useState({ + name: "New prompt", + model: "gpt-4o", + config: { + temperature: 1, + max_tokens: 1000, + }, + tools: [], + developerMessage: "", + messages: [ + { + role: "user", + content: "Enter task specifics. Use {{template_variables}} for dynamic inputs", + }, + ], + }); + + const [showToolModal, setShowToolModal] = useState(false); + const [showNameModal, setShowNameModal] = useState(false); + const [editingToolIndex, setEditingToolIndex] = useState(null); + const [isSaving, setIsSaving] = useState(false); + const [viewMode, setViewMode] = useState<"pretty" | "dotprompt">("pretty"); + + const addMessage = () => { + setPrompt({ + ...prompt, + messages: [ + ...prompt.messages, + { + role: "user", + content: "", + }, + ], + }); + }; + + const updateMessage = (index: number, field: "role" | "content", value: string) => { + const newMessages = [...prompt.messages]; + newMessages[index][field] = value; + setPrompt({ + ...prompt, + messages: newMessages, + }); + }; + + const removeMessage = (index: number) => { + if (prompt.messages.length > 1) { + setPrompt({ + ...prompt, + messages: prompt.messages.filter((_, i) => i !== index), + }); + } + }; + + const moveMessage = (fromIndex: number, toIndex: number) => { + const newMessages = [...prompt.messages]; + const [movedMessage] = newMessages.splice(fromIndex, 1); + newMessages.splice(toIndex, 0, movedMessage); + setPrompt({ + ...prompt, + messages: newMessages, + }); + }; + + const addTool = (json: string) => { + try { + const parsed = JSON.parse(json); + const tool: Tool = { + name: parsed.function?.name || "Unnamed Tool", + description: parsed.function?.description || "", + json: json, + }; + + if (editingToolIndex !== null) { + const newTools = [...prompt.tools]; + newTools[editingToolIndex] = tool; + setPrompt({ + ...prompt, + tools: newTools, + }); + } else { + setPrompt({ + ...prompt, + tools: [...prompt.tools, tool], + }); + } + + setShowToolModal(false); + setEditingToolIndex(null); + } catch (error) { + NotificationsManager.fromBackend("Invalid JSON format"); + } + }; + + const removeTool = (index: number) => { + setPrompt({ + ...prompt, + tools: prompt.tools.filter((_, i) => i !== index), + }); + }; + + const openToolModal = (index?: number) => { + if (index !== undefined) { + setEditingToolIndex(index); + } else { + setEditingToolIndex(null); + } + setShowToolModal(true); + }; + + const handleSaveClick = () => { + if (!prompt.name || prompt.name.trim() === "" || prompt.name === "New prompt") { + setShowNameModal(true); + } else { + handleSave(); + } + }; + + const handleSave = async () => { + if (!accessToken) { + NotificationsManager.fromBackend("Access token is required"); + return; + } + + if (!prompt.name || prompt.name.trim() === "") { + NotificationsManager.fromBackend("Please enter a valid prompt name"); + return; + } + + setIsSaving(true); + try { + const promptId = prompt.name.replace(/[^a-zA-Z0-9_-]/g, "_").toLowerCase(); + const dotpromptContent = convertToDotPrompt(prompt); + + const promptData = { + prompt_id: promptId, + litellm_params: { + prompt_integration: "dotprompt", + prompt_id: promptId, + dotprompt_content: dotpromptContent, + }, + prompt_info: { + prompt_type: "db", + }, + }; + + await createPromptCall(accessToken, promptData); + NotificationsManager.success("Prompt created successfully!"); + onSuccess(); + onClose(); + } catch (error) { + console.error("Error saving prompt:", error); + NotificationsManager.fromBackend("Failed to save prompt"); + } finally { + setIsSaving(false); + setShowNameModal(false); + } + }; + + return ( +
+
+ setPrompt({ ...prompt, name })} + onBack={onClose} + onSave={handleSaveClick} + isSaving={isSaving} + /> + +
+
+
+ setPrompt({ ...prompt, model })} + onTemperatureChange={(temperature) => + setPrompt({ + ...prompt, + config: { ...prompt.config, temperature }, + }) + } + onMaxTokensChange={(max_tokens) => + setPrompt({ + ...prompt, + config: { ...prompt.config, max_tokens }, + }) + } + /> + +
+ + +
+
+ + {viewMode === "pretty" ? ( +
+ openToolModal()} + onEditTool={openToolModal} + onRemoveTool={removeTool} + /> + + setPrompt({ ...prompt, developerMessage })} + /> + + +
+ ) : ( + + )} +
+ + +
+
+ + setPrompt({ ...prompt, name })} + onPublish={handleSave} + onCancel={() => setShowNameModal(false)} + /> + + {showToolModal && ( + { + setShowToolModal(false); + setEditingToolIndex(null); + }} + /> + )} +
+ ); +}; + +export default PromptEditorView; + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts new file mode 100644 index 00000000000..36376e00554 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/types.ts @@ -0,0 +1,30 @@ +export interface Message { + role: string; + content: string; +} + +export interface Tool { + name: string; + description: string; + json: string; +} + +export interface PromptType { + name: string; + model: string; + config: { + temperature?: number; + max_tokens?: number; + top_p?: number; + }; + tools: Tool[]; + developerMessage: string; + messages: Message[]; +} + +export interface PromptEditorViewProps { + onClose: () => void; + onSuccess: () => void; + accessToken: string | null; +} + diff --git a/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts new file mode 100644 index 00000000000..6da9c44d863 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/prompt_editor_view/utils.ts @@ -0,0 +1,76 @@ +import { PromptType } from "./types"; + +export const extractVariables = (prompt: PromptType): string[] => { + const variableSet = new Set(); + const variableRegex = /\{\{(\w+)\}\}/g; + + prompt.messages.forEach((message) => { + let match; + while ((match = variableRegex.exec(message.content)) !== null) { + variableSet.add(match[1]); + } + }); + + if (prompt.developerMessage) { + let match; + while ((match = variableRegex.exec(prompt.developerMessage)) !== null) { + variableSet.add(match[1]); + } + } + + return Array.from(variableSet); +}; + +export const convertToDotPrompt = (prompt: PromptType): string => { + const variables = extractVariables(prompt); + let result = `---\nmodel: ${prompt.model}\n`; + + // Add temperature if set + if (prompt.config.temperature !== undefined) { + result += `temperature: ${prompt.config.temperature}\n`; + } + + // Add max_tokens if set + if (prompt.config.max_tokens !== undefined) { + result += `max_tokens: ${prompt.config.max_tokens}\n`; + } + + // Add top_p if set + if (prompt.config.top_p !== undefined) { + result += `top_p: ${prompt.config.top_p}\n`; + } + + // Add input schema + result += `input:\n schema:\n`; + variables.forEach((variable) => { + result += ` ${variable}: string\n`; + }); + + // Add output format + result += `output:\n format: text\n`; + + // Add tools if present + if (prompt.tools && prompt.tools.length > 0) { + result += `tools:\n`; + prompt.tools.forEach((tool) => { + const toolObj = JSON.parse(tool.json); + result += ` - ${JSON.stringify(toolObj)}\n`; + }); + } + + result += `---\n\n`; + + // Add developer message if present + if (prompt.developerMessage && prompt.developerMessage.trim() !== "") { + result += `Developer: ${prompt.developerMessage.trim()}\n\n`; + } + + // Add messages with role prefixes + prompt.messages.forEach((message) => { + const role = message.role.charAt(0).toUpperCase() + message.role.slice(1); + result += `${role}: ${message.content}\n\n`; + }); + + return result.trim(); +}; + diff --git a/ui/litellm-dashboard/src/components/prompts/tool_modal.tsx b/ui/litellm-dashboard/src/components/prompts/tool_modal.tsx new file mode 100644 index 00000000000..0496eea2bc5 --- /dev/null +++ b/ui/litellm-dashboard/src/components/prompts/tool_modal.tsx @@ -0,0 +1,89 @@ +import React, { useState } from "react"; +import { Modal, Button } from "antd"; + +interface ToolModalProps { + visible: boolean; + initialJson: string; + onSave: (json: string) => void; + onClose: () => void; +} + +const defaultToolJson = `{ + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA" + }, + "unit": { + "type": "string", + "enum": ["celsius", "fahrenheit"] + } + }, + "required": ["location"] + } + } +}`; + +const ToolModal: React.FC = ({ visible, initialJson, onSave, onClose }) => { + const [json, setJson] = useState(initialJson || defaultToolJson); + const [error, setError] = useState(null); + + const handleSave = () => { + try { + JSON.parse(json); + setError(null); + onSave(json); + } catch (e) { + setError("Invalid JSON format. Please check your syntax."); + } + }; + + const handleClose = () => { + setError(null); + onClose(); + }; + + return ( + + Add Tool +
+ } + open={visible} + onCancel={handleClose} + width={800} + footer={[ + , + , + ]} + > +
+ {error && ( +
+ {error} +
+ )} +