From 4ce4927c0cf9af8d0c4b6319b155e244572db4e7 Mon Sep 17 00:00:00 2001 From: Marc Abramowitz Date: Fri, 3 May 2024 17:56:39 -0700 Subject: [PATCH 01/26] Add test_engines_model_chat_completions --- litellm/tests/test_proxy_server.py | 35 +++++++++++++++++++++++++++++- 1 file changed, 34 insertions(+), 1 deletion(-) diff --git a/litellm/tests/test_proxy_server.py b/litellm/tests/test_proxy_server.py index 43a070556..c1965dc2a 100644 --- a/litellm/tests/test_proxy_server.py +++ b/litellm/tests/test_proxy_server.py @@ -160,7 +160,40 @@ def test_chat_completion(mock_acompletion, client_no_auth): pytest.fail(f"LiteLLM Proxy test failed. Exception - {str(e)}") -# Run the test +@mock_patch_acompletion() +def test_engines_model_chat_completions(mock_acompletion, client_no_auth): + global headers + try: + # Your test data + test_data = { + "model": "gpt-3.5-turbo", + "messages": [ + {"role": "user", "content": "hi"}, + ], + "max_tokens": 10, + } + + print("testing proxy server with chat completions") + response = client_no_auth.post("/engines/gpt-3.5-turbo/chat/completions", json=test_data) + mock_acompletion.assert_called_once_with( + model="gpt-3.5-turbo", + messages=[ + {"role": "user", "content": "hi"}, + ], + max_tokens=10, + litellm_call_id=mock.ANY, + litellm_logging_obj=mock.ANY, + request_timeout=mock.ANY, + specific_deployment=True, + metadata=mock.ANY, + proxy_server_request=mock.ANY, + ) + print(f"response - {response.text}") + assert response.status_code == 200 + result = response.json() + print(f"Received response: {result}") + except Exception as e: + pytest.fail(f"LiteLLM Proxy test failed. Exception - {str(e)}") @mock_patch_acompletion() From eb433bde863c750affcae4ac38517ba756ed9290 Mon Sep 17 00:00:00 2001 From: Marc Abramowitz Date: Fri, 3 May 2024 17:57:30 -0700 Subject: [PATCH 02/26] Add route: "/engines/{model:path}/chat/completions" Without this, it results in: ```pytb Traceback (most recent call last): File "/Users/abramowi/Code/OpenSource/litellm/litellm/proxy/proxy_server.py", line 3836, in completion raise HTTPException( fastapi.exceptions.HTTPException: 400: {'error': 'completion: Invalid model name passed in model=gpt-3.5-turbo/chat'} ``` --- litellm/proxy/proxy_server.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 55202fd16..bbeacded0 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -3456,6 +3456,11 @@ def model_list( dependencies=[Depends(user_api_key_auth)], tags=["chat/completions"], ) +@router.post( + "/engines/{model:path}/chat/completions", + dependencies=[Depends(user_api_key_auth)], + tags=["chat/completions"], +) @router.post( "/openai/deployments/{model:path}/chat/completions", dependencies=[Depends(user_api_key_auth)], From 312249ca4443319055c3ccd973c484e72b7f6586 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 7 May 2024 18:29:14 -0700 Subject: [PATCH 03/26] feat(ui/model_dashboard.tsx): show if model is config or db model --- litellm/proxy/proxy_server.py | 21 +++++++++++++++---- litellm/router.py | 14 +++++++++++-- litellm/types/router.py | 5 ++++- .../src/components/model_dashboard.tsx | 10 ++++++++- 4 files changed, 42 insertions(+), 8 deletions(-) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index 94a32d062..cd537d1fd 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -2516,20 +2516,21 @@ class ProxyConfig: router = litellm.Router(**router_params) # type:ignore return router, model_list, general_settings - def get_model_info_with_id(self, model) -> RouterModelInfo: + def get_model_info_with_id(self, model, db_model=False) -> RouterModelInfo: """ Common logic across add + delete router models Parameters: - deployment + - db_model -> flag for differentiating model stored in db vs. config -> used on UI Return model info w/ id """ if model.model_info is not None and isinstance(model.model_info, dict): if "id" not in model.model_info: model.model_info["id"] = model.model_id - _model_info = RouterModelInfo(**model.model_info) + _model_info = RouterModelInfo(**model.model_info, db_model=db_model) else: - _model_info = RouterModelInfo(id=model.model_id) + _model_info = RouterModelInfo(id=model.model_id, db_model=db_model) return _model_info async def _delete_deployment(self, db_models: list) -> int: @@ -2624,7 +2625,9 @@ class ProxyConfig: f"Invalid model added to proxy db. Invalid litellm params. litellm_params={_litellm_params}" ) continue # skip to next model - _model_info = self.get_model_info_with_id(model=m) + _model_info = self.get_model_info_with_id( + model=m, db_model=True + ) ## 👈 FLAG = True for db_models added = llm_router.add_deployment( deployment=Deployment( @@ -7432,6 +7435,16 @@ async def update_model( ) ) if _existing_litellm_params is None: + if ( + llm_router is not None + and llm_router.get_deployment(model_id=_model_id) is not None + ): + raise HTTPException( + status_code=400, + detail={ + "error": "Can't edit model. Model in config. Store model in db via `/model/new`. to edit." + }, + ) raise Exception("model not found") _existing_litellm_params_dict = dict( _existing_litellm_params.litellm_params diff --git a/litellm/router.py b/litellm/router.py index 99e2435ac..ab8bd4723 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -2590,11 +2590,21 @@ class Router: except: return None - def get_deployment(self, model_id: str): + def get_deployment(self, model_id: str) -> Optional[Deployment]: + """ + Returns -> Deployment or None + + Raise Exception -> if model found in invalid format + """ for model in self.model_list: if "model_info" in model and "id" in model["model_info"]: if model_id == model["model_info"]["id"]: - return model + if isinstance(model, dict): + return Deployment(**model) + elif isinstance(model, Deployment): + return model + else: + raise Exception("Model invalid format - {}".format(type(model))) return None def get_model_info(self, id: str) -> Optional[dict]: diff --git a/litellm/types/router.py b/litellm/types/router.py index 4a62a267e..93c798722 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -1,6 +1,6 @@ from typing import List, Optional, Union, Dict, Tuple, Literal import httpx -from pydantic import BaseModel, validator +from pydantic import BaseModel, validator, Field from .completion import CompletionRequest from .embedding import EmbeddingRequest import uuid, enum @@ -70,6 +70,9 @@ class ModelInfo(BaseModel): id: Optional[ str ] # Allow id to be optional on input, but it will always be present as a str in the model instance + db_model: bool = ( + False # used for proxy - to separate models which are stored in the db vs. config. + ) def __init__(self, id: Optional[Union[str, int]] = None, **params): if id is None: diff --git a/ui/litellm-dashboard/src/components/model_dashboard.tsx b/ui/litellm-dashboard/src/components/model_dashboard.tsx index 6e207b430..d66a73485 100644 --- a/ui/litellm-dashboard/src/components/model_dashboard.tsx +++ b/ui/litellm-dashboard/src/components/model_dashboard.tsx @@ -37,7 +37,7 @@ import { Badge, BadgeDelta, Button } from "@tremor/react"; import RequestAccess from "./request_model_access"; import { Typography } from "antd"; import TextArea from "antd/es/input/TextArea"; -import { InformationCircleIcon, PencilAltIcon, PencilIcon, StatusOnlineIcon, TrashIcon, RefreshIcon } from "@heroicons/react/outline"; +import { InformationCircleIcon, PencilAltIcon, PencilIcon, StatusOnlineIcon, TrashIcon, RefreshIcon, CheckCircleIcon, XCircleIcon } from "@heroicons/react/outline"; import DeleteModelButton from "./delete_model_button"; const { Title: Title2, Link } = Typography; import { UploadOutlined } from '@ant-design/icons'; @@ -921,6 +921,7 @@ const handleEditSubmit = async (formValues: Record) => { Input Price per token ($) Output Price per token ($) Max Tokens + Status @@ -929,6 +930,7 @@ const handleEditSubmit = async (formValues: Record) => { selectedModelGroup === "all" || model.model_name === selectedModelGroup || selectedModelGroup === null || selectedModelGroup === undefined || selectedModelGroup === "" ) .map((model: any, index: number) => ( + {model.model_name} @@ -958,6 +960,12 @@ const handleEditSubmit = async (formValues: Record) => { {model.input_cost} {model.output_cost} {model.max_tokens} + + { + model.model_info.db_model ? DB Model : Config Model + } + + Date: Tue, 7 May 2024 20:57:21 -0700 Subject: [PATCH 04/26] feat(model_dashboard.tsx): allow user to edit input cost per token for model on ui also contains fixes for `/model/update` --- litellm/proxy/_experimental/out/404.html | 2 +- .../static/chunks/142-11990a208bf93746.js | 32 -------------- .../static/chunks/319-4467f3d35ad11cf1.js | 32 ++++++++++++++ .../chunks/app/layout-3cc8192d7f94ae35.js | 1 + .../chunks/app/layout-cfe6a9aa81aafb27.js | 1 - .../chunks/app/page-da99952c71eeb401.js | 1 + .../chunks/app/page-df6123fdb38c9b0d.js | 1 - .../chunks/main-app-096338c8e1915716.js | 2 +- .../chunks/main-app-9b4fb13a7db53edf.js | 1 - ...67e0020.js => webpack-d85d62a2bbfac48f.js} | 2 +- .../out/_next/static/css/7de0c97d470f519f.css | 5 +++ .../out/_next/static/css/91264d1b81b58743.css | 5 --- .../_buildManifest.js | 0 .../_ssgManifest.js | 0 litellm/proxy/_experimental/out/index.html | 2 +- litellm/proxy/_experimental/out/index.txt | 4 +- litellm/proxy/proxy_server.py | 43 ++++++++++++++++--- litellm/router.py | 32 ++++++++++++++ litellm/types/router.py | 29 +++++-------- ui/litellm-dashboard/out/404.html | 2 +- .../static/chunks/142-11990a208bf93746.js | 32 -------------- .../chunks/app/layout-cfe6a9aa81aafb27.js | 1 - .../chunks/app/page-df6123fdb38c9b0d.js | 1 - .../static/chunks/webpack-cfde7590f67e0020.js | 1 - .../out/_next/static/css/91264d1b81b58743.css | 5 --- .../u7rM4cBDmVnacAN_shjp6/_buildManifest.js | 1 - .../u7rM4cBDmVnacAN_shjp6/_ssgManifest.js | 1 - ui/litellm-dashboard/out/index.html | 2 +- ui/litellm-dashboard/out/index.txt | 4 +- .../src/components/model_dashboard.tsx | 33 +++++++------- 30 files changed, 145 insertions(+), 133 deletions(-) delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/142-11990a208bf93746.js create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/319-4467f3d35ad11cf1.js create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/layout-3cc8192d7f94ae35.js delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/layout-cfe6a9aa81aafb27.js create mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/page-da99952c71eeb401.js delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/app/page-df6123fdb38c9b0d.js rename ui/litellm-dashboard/out/_next/static/chunks/main-app-9b4fb13a7db53edf.js => litellm/proxy/_experimental/out/_next/static/chunks/main-app-096338c8e1915716.js (54%) delete mode 100644 litellm/proxy/_experimental/out/_next/static/chunks/main-app-9b4fb13a7db53edf.js rename litellm/proxy/_experimental/out/_next/static/chunks/{webpack-cfde7590f67e0020.js => webpack-d85d62a2bbfac48f.js} (98%) create mode 100644 litellm/proxy/_experimental/out/_next/static/css/7de0c97d470f519f.css delete mode 100644 litellm/proxy/_experimental/out/_next/static/css/91264d1b81b58743.css rename litellm/proxy/_experimental/out/_next/static/{u7rM4cBDmVnacAN_shjp6 => sM5AKD7wjs7gpXDNHAiSd}/_buildManifest.js (100%) rename litellm/proxy/_experimental/out/_next/static/{u7rM4cBDmVnacAN_shjp6 => sM5AKD7wjs7gpXDNHAiSd}/_ssgManifest.js (100%) delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/142-11990a208bf93746.js delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/layout-cfe6a9aa81aafb27.js delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/app/page-df6123fdb38c9b0d.js delete mode 100644 ui/litellm-dashboard/out/_next/static/chunks/webpack-cfde7590f67e0020.js delete mode 100644 ui/litellm-dashboard/out/_next/static/css/91264d1b81b58743.css delete mode 100644 ui/litellm-dashboard/out/_next/static/u7rM4cBDmVnacAN_shjp6/_buildManifest.js delete mode 100644 ui/litellm-dashboard/out/_next/static/u7rM4cBDmVnacAN_shjp6/_ssgManifest.js diff --git a/litellm/proxy/_experimental/out/404.html b/litellm/proxy/_experimental/out/404.html index 563e6c60c..fcb4026a9 100644 --- a/litellm/proxy/_experimental/out/404.html +++ b/litellm/proxy/_experimental/out/404.html @@ -1 +1 @@ -404: This page could not be found.LiteLLM Dashboard

404

This page could not be found.

\ No newline at end of file +404: This page could not be found.LiteLLM Dashboard

404

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Subject: [PATCH 06/26] test: fix test --- litellm/tests/test_proxy_custom_logger.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/litellm/tests/test_proxy_custom_logger.py b/litellm/tests/test_proxy_custom_logger.py index 64ed08897..5496b6c83 100644 --- a/litellm/tests/test_proxy_custom_logger.py +++ b/litellm/tests/test_proxy_custom_logger.py @@ -117,6 +117,7 @@ def test_embedding(client): "input_cost_per_token": 0.002, "mode": "embedding", "id": "hello", + "db_model": False, } result = response.json() print(f"Received response: {result}") @@ -191,6 +192,7 @@ def test_chat_completion(client): "id": "gm", "input_cost_per_token": 0.0002, "mode": "chat", + "db_model": False, } assert proxy_server_request_object == { "url": "http://testserver/chat/completions", From f45954d154474627f26248db610d9b6187e08324 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 7 May 2024 21:31:03 -0700 Subject: [PATCH 07/26] test(test_config.py): fix test --- litellm/tests/test_config.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/litellm/tests/test_config.py b/litellm/tests/test_config.py index 800f0693e..e38187e0e 100644 --- a/litellm/tests/test_config.py +++ b/litellm/tests/test_config.py @@ -140,6 +140,8 @@ async def test_add_existing_deployment(): deployment_2.to_json(exclude_none=True), ] ) + + init_len_list = len(llm_router.model_list) print(f"llm_router: {llm_router}") master_key = "sk-1234" setattr(litellm.proxy.proxy_server, "llm_router", llm_router) @@ -164,7 +166,7 @@ async def test_add_existing_deployment(): db_models = [db_model] num_added = pc._add_deployment(db_models=db_models) - assert num_added == 0 + assert init_len_list == len(llm_router.model_list) litellm_params = LiteLLM_Params( From fbcda918ded37d78daf41086812322cb932e70be Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Tue, 7 May 2024 18:29:14 -0700 Subject: [PATCH 08/26] feat(ui/model_dashboard.tsx): show if model is config or db model --- litellm/proxy/proxy_server.py | 21 +++++++++++++++---- litellm/router.py | 14 +++++++++++-- litellm/types/router.py | 5 ++++- .../src/components/model_dashboard.tsx | 10 ++++++++- 4 files changed, 42 insertions(+), 8 deletions(-) diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index ac9cb56cc..f7b8447f1 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -2516,20 +2516,21 @@ class ProxyConfig: router = litellm.Router(**router_params) # type:ignore return router, model_list, general_settings - def get_model_info_with_id(self, model) -> RouterModelInfo: + def get_model_info_with_id(self, model, db_model=False) -> RouterModelInfo: """ Common logic across add + delete router models Parameters: - deployment + - db_model -> flag for differentiating model stored in db vs. config -> used on UI Return model info w/ id """ if model.model_info is not None and isinstance(model.model_info, dict): if "id" not in model.model_info: model.model_info["id"] = model.model_id - _model_info = RouterModelInfo(**model.model_info) + _model_info = RouterModelInfo(**model.model_info, db_model=db_model) else: - _model_info = RouterModelInfo(id=model.model_id) + _model_info = RouterModelInfo(id=model.model_id, db_model=db_model) return _model_info async def _delete_deployment(self, db_models: list) -> int: @@ -2624,7 +2625,9 @@ class ProxyConfig: f"Invalid model added to proxy db. Invalid litellm params. litellm_params={_litellm_params}" ) continue # skip to next model - _model_info = self.get_model_info_with_id(model=m) + _model_info = self.get_model_info_with_id( + model=m, db_model=True + ) ## 👈 FLAG = True for db_models added = llm_router.add_deployment( deployment=Deployment( @@ -7449,6 +7452,16 @@ async def update_model( ) ) if _existing_litellm_params is None: + if ( + llm_router is not None + and llm_router.get_deployment(model_id=_model_id) is not None + ): + raise HTTPException( + status_code=400, + detail={ + "error": "Can't edit model. Model in config. Store model in db via `/model/new`. to edit." + }, + ) raise Exception("model not found") _existing_litellm_params_dict = dict( _existing_litellm_params.litellm_params diff --git a/litellm/router.py b/litellm/router.py index ddb006d52..e2e1d3409 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -2595,11 +2595,21 @@ class Router: except: return None - def get_deployment(self, model_id: str): + def get_deployment(self, model_id: str) -> Optional[Deployment]: + """ + Returns -> Deployment or None + + Raise Exception -> if model found in invalid format + """ for model in self.model_list: if "model_info" in model and "id" in model["model_info"]: if model_id == model["model_info"]["id"]: - return model + if isinstance(model, dict): + return Deployment(**model) + elif isinstance(model, Deployment): + return model + else: + raise Exception("Model invalid format - {}".format(type(model))) return None def get_model_info(self, id: str) -> Optional[dict]: diff --git a/litellm/types/router.py b/litellm/types/router.py index 6ab83cec2..07d16a37a 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -1,6 +1,6 @@ from typing import List, Optional, Union, Dict, Tuple, Literal import httpx -from pydantic import BaseModel, validator +from pydantic import BaseModel, validator, Field from .completion import CompletionRequest from .embedding import EmbeddingRequest import uuid, enum @@ -70,6 +70,9 @@ class ModelInfo(BaseModel): id: Optional[ str ] # Allow id to be optional on input, but it will always be present as a str in the model instance + db_model: bool = ( + False # used for proxy - to separate models which are stored in the db vs. config. + ) def __init__(self, id: Optional[Union[str, int]] = None, **params): if id is None: diff --git a/ui/litellm-dashboard/src/components/model_dashboard.tsx b/ui/litellm-dashboard/src/components/model_dashboard.tsx index 6e207b430..d66a73485 100644 --- a/ui/litellm-dashboard/src/components/model_dashboard.tsx +++ b/ui/litellm-dashboard/src/components/model_dashboard.tsx @@ -37,7 +37,7 @@ import { Badge, BadgeDelta, Button } from "@tremor/react"; import RequestAccess from "./request_model_access"; import { Typography } from "antd"; import TextArea from "antd/es/input/TextArea"; -import { InformationCircleIcon, PencilAltIcon, PencilIcon, StatusOnlineIcon, TrashIcon, RefreshIcon } from "@heroicons/react/outline"; +import { InformationCircleIcon, PencilAltIcon, PencilIcon, StatusOnlineIcon, TrashIcon, RefreshIcon, CheckCircleIcon, XCircleIcon } from "@heroicons/react/outline"; import DeleteModelButton from "./delete_model_button"; const { Title: Title2, Link } = Typography; import { UploadOutlined } from '@ant-design/icons'; @@ -921,6 +921,7 @@ const handleEditSubmit = async (formValues: Record) => { Input Price per token ($) Output Price per token ($) Max Tokens + Status @@ -929,6 +930,7 @@ const handleEditSubmit = async (formValues: Record) => { selectedModelGroup === "all" || model.model_name === selectedModelGroup || selectedModelGroup === null || selectedModelGroup === undefined || selectedModelGroup === "" ) .map((model: any, index: number) => ( + {model.model_name} @@ -958,6 +960,12 @@ const handleEditSubmit = async (formValues: Record) => { {model.input_cost} {model.output_cost} {model.max_tokens} + + { + model.model_info.db_model ? DB Model : Config Model + } + + Date: Tue, 7 May 2024 21:34:08 -0700 Subject: [PATCH 09/26] docs(routing.md): make clear lowest cost routing is async --- docs/my-website/docs/routing.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/my-website/docs/routing.md b/docs/my-website/docs/routing.md index f1f6febec..0b0c7713c 100644 --- a/docs/my-website/docs/routing.md +++ b/docs/my-website/docs/routing.md @@ -468,7 +468,7 @@ asyncio.run(router_acompletion()) ``` - + Picks a deployment based on the lowest cost From 303e0c622609191e3f592e50149e12ecb6473911 Mon Sep 17 00:00:00 2001 From: Krish Dholakia Date: Tue, 7 May 2024 21:42:18 -0700 Subject: [PATCH 10/26] Revert "* feat(factory.py): add support for merging consecutive messages of one role when separated with empty message of another role" --- .gitignore | 1 - litellm/llms/prompt_templates/factory.py | 56 ++++++++++-------------- litellm/tests/test_completion.py | 38 ++-------------- 3 files changed, 27 insertions(+), 68 deletions(-) diff --git a/.gitignore b/.gitignore index 4f3f65b93..abc4ecb0c 100644 --- a/.gitignore +++ b/.gitignore @@ -1,5 +1,4 @@ .venv -venv .env litellm_uuid.txt __pycache__/ diff --git a/litellm/llms/prompt_templates/factory.py b/litellm/llms/prompt_templates/factory.py index bce472ea0..082030368 100644 --- a/litellm/llms/prompt_templates/factory.py +++ b/litellm/llms/prompt_templates/factory.py @@ -1,23 +1,27 @@ -import json -import re -import traceback -import uuid -import xml.etree.ElementTree as ET from enum import Enum -from typing import Any, List, Mapping, MutableMapping, Optional, Sequence - -import requests -from jinja2 import BaseLoader, Template, exceptions, meta +import requests, traceback +import json, re, xml.etree.ElementTree as ET +from jinja2 import Template, exceptions, meta, BaseLoader from jinja2.sandbox import ImmutableSandboxedEnvironment - +from typing import ( + Any, + List, + Mapping, + MutableMapping, + Optional, + Sequence, +) import litellm -from litellm.types.completion import (ChatCompletionFunctionMessageParam, - ChatCompletionMessageParam, - ChatCompletionMessageToolCallParam, - ChatCompletionSystemMessageParam, - ChatCompletionToolMessageParam, - ChatCompletionUserMessageParam) +from litellm.types.completion import ( + ChatCompletionUserMessageParam, + ChatCompletionSystemMessageParam, + ChatCompletionMessageParam, + ChatCompletionFunctionMessageParam, + ChatCompletionMessageToolCallParam, + ChatCompletionToolMessageParam, +) from litellm.types.llms.anthropic import * +import uuid def default_pt(messages): @@ -599,9 +603,8 @@ def construct_tool_use_system_prompt( def convert_url_to_base64(url): - import base64 - import requests + import base64 for _ in range(3): try: @@ -981,7 +984,6 @@ def anthropic_messages_pt(messages: list): new_messages = [] msg_i = 0 tool_use_param = False - merge_with_previous = False while msg_i < len(messages): user_content = [] init_msg_i = msg_i @@ -1014,13 +1016,7 @@ def anthropic_messages_pt(messages: list): msg_i += 1 if user_content: - if merge_with_previous: - new_messages[-1]["content"].extend(user_content) - merge_with_previous = False - else: - new_messages.append({"role": "user", "content": user_content}) - elif msg_i > 0: - merge_with_previous = True + new_messages.append({"role": "user", "content": user_content}) assistant_content = [] ## MERGE CONSECUTIVE ASSISTANT CONTENT ## @@ -1048,13 +1044,7 @@ def anthropic_messages_pt(messages: list): msg_i += 1 if assistant_content: - if merge_with_previous: - new_messages[-1]["content"].extend(assistant_content) - merge_with_previous = False - else: - new_messages.append({"role": "assistant", "content": assistant_content}) - elif msg_i > 0: - merge_with_previous = True + new_messages.append({"role": "assistant", "content": assistant_content}) if msg_i == init_msg_i: # prevent infinite loops raise Exception( diff --git a/litellm/tests/test_completion.py b/litellm/tests/test_completion.py index 6e58a46b8..32b65faea 100644 --- a/litellm/tests/test_completion.py +++ b/litellm/tests/test_completion.py @@ -1,21 +1,17 @@ -import os -import sys +import sys, os import traceback - from dotenv import load_dotenv load_dotenv() -import io -import os +import os, io sys.path.insert( 0, os.path.abspath("../..") ) # Adds the parent directory to the, system path import pytest - import litellm -from litellm import (RateLimitError, Timeout, completion, completion_cost, - embedding) +from litellm import embedding, completion, completion_cost, Timeout +from litellm import RateLimitError from litellm.llms.prompt_templates.factory import anthropic_messages_pt # litellm.num_retries=3 @@ -167,32 +163,6 @@ def test_completion_claude_3(): pytest.fail(f"Error occurred: {e}") -def test_completion_claude_3_empty_message(): - litellm.set_verbose = True - messages = [{'role': 'user', 'content': 'please create a logo for a modern AI app. create in SVG format'}, - {'role': 'assistant', 'content': "To create a logo for a modern AI app in SVG format, I'll use the DALL-E 3 Image Generator."}, - {'role': 'user', 'content': 'output SVG'}, - {'role': 'assistant', 'content': 'To generate a logo for a modern AI app in SVG format using DALL-E 3, I need to:\n1. Craft a detailed prompt describing the desired logo style and elements\n2. Specify the image size (SVG is vector-based, so size is less relevant)\n3. Call the generate_image function with the prompt and size\n4. Display the generated SVG logo using the provided syntax\nThe prompt should include keywords related to AI, modern design, and SVG format. Some key elements to incorporate could be a brain symbol, circuit lines, or a robot icon, using a minimalist style and a blue color scheme often associated with technology and intelligence.', - 'tool_calls': [ - {'id': 'toolu_01KEUtRVySSeMrf3g7rCA12E', 'type': 'function', 'function': {'name': 'python_tool', 'arguments': '{"code": "...python code..."}'}} - ]}, - {'role': 'tool', 'content': '...python output...', 'tool_call_id': 'toolu_01KEUtRVySSeMrf3g7rCA12E'}, - {'role': 'assistant', 'content': ''}, # empty message appended by model after tool call response - {'role': 'user', 'content': 'write SVG source youself!'}, - ] - - try: - response = completion( - model="anthropic/claude-3-opus-20240229", - messages=messages, - stream=True, - tools=[{'type': 'function', 'function': {'name': 'python_tool', 'description': 'Execute code', 'parameters': {'type': 'object', 'properties': {'headline': {'description': 'Must have. Title of this tool call (maximum 15 characters).', 'type': 'string'}, 'code': {'description': 'Python code to execute.', 'type': 'string'}}, 'required': ['code', 'headline']}}}] - ) - print(response) - except Exception as e: - pytest.fail(f"Error occurred: {e}") - - def test_completion_claude_3_function_call(): litellm.set_verbose = True tools = [ From b7c60031ca47ca0792d067c6698ef8442b20fe8a Mon Sep 17 00:00:00 2001 From: CyanideByte Date: Tue, 7 May 2024 23:59:18 -0700 Subject: [PATCH 11/26] Pydantic warning snuck in here --- litellm/types/router.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/litellm/types/router.py b/litellm/types/router.py index 45e35d6d7..ec7decf34 100644 --- a/litellm/types/router.py +++ b/litellm/types/router.py @@ -65,6 +65,9 @@ class UpdateRouterConfig(BaseModel): fallbacks: Optional[List[dict]] = None context_window_fallbacks: Optional[List[dict]] = None + class Config: + protected_namespaces = () + class ModelInfo(BaseModel): id: Optional[ From 59080431b80d098ad76e672afbda80e20d803397 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 08:34:23 -0700 Subject: [PATCH 12/26] docs(users.md): simplify doc with end-user vs. internal user --- docs/my-website/docs/proxy/users.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/docs/my-website/docs/proxy/users.md b/docs/my-website/docs/proxy/users.md index 478d63f84..6d9c43c5f 100644 --- a/docs/my-website/docs/proxy/users.md +++ b/docs/my-website/docs/proxy/users.md @@ -12,8 +12,8 @@ Requirements: You can set budgets at 3 levels: - For the proxy -- For a user -- For a 'user' passed to `/chat/completions`, `/embeddings` etc +- For an internal user +- For an end-user - For a key - For a key (model specific budgets) @@ -58,7 +58,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \ }' ``` - + Apply a budget across multiple keys. @@ -165,12 +165,12 @@ curl --location 'http://localhost:4000/team/new' \ } ``` - + Use this to budget `user` passed to `/chat/completions`, **without needing to create a key for every user** **Step 1. Modify config.yaml** -Define `litellm.max_user_budget` +Define `litellm.max_end_user_budget` ```yaml general_settings: master_key: sk-1234 @@ -328,7 +328,7 @@ You can set: - max parallel requests - + Use `/user/new`, to persist rate limits across multiple keys. @@ -408,7 +408,7 @@ curl --location 'http://localhost:4000/user/new' \ ``` -## Create new keys for existing user +## Create new keys for existing internal user Just include user_id in the `/key/generate` request. From a854824c02fabeb2d90418fd7301fa6042baabb5 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 09:10:45 -0700 Subject: [PATCH 13/26] fix(main.py): fix together ai text completion call --- litellm/main.py | 7 ++++++- litellm/proxy/_super_secret_config.yaml | 3 +++ litellm/tests/test_text_completion.py | 20 ++++++++++++++++++++ 3 files changed, 29 insertions(+), 1 deletion(-) diff --git a/litellm/main.py b/litellm/main.py index 0d3e67449..81a5981f9 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -2950,7 +2950,9 @@ def embedding( model=model, # type: ignore llm_provider="ollama", # type: ignore ) - ollama_embeddings_fn = ollama.ollama_aembeddings if aembedding else ollama.ollama_embeddings + ollama_embeddings_fn = ( + ollama.ollama_aembeddings if aembedding else ollama.ollama_embeddings + ) response = ollama_embeddings_fn( api_base=api_base, model=model, @@ -3094,6 +3096,7 @@ async def atext_completion(*args, **kwargs): or custom_llm_provider == "huggingface" or custom_llm_provider == "ollama" or custom_llm_provider == "vertex_ai" + or custom_llm_provider in litellm.openai_compatible_providers ): # currently implemented aiohttp calls for just azure and openai, soon all. # Await normally response = await loop.run_in_executor(None, func_with_context) @@ -3124,6 +3127,8 @@ async def atext_completion(*args, **kwargs): ## TRANSLATE CHAT TO TEXT FORMAT ## if isinstance(response, TextCompletionResponse): return response + elif asyncio.iscoroutine(response): + response = await response text_completion_response = TextCompletionResponse() text_completion_response["id"] = response.get("id", None) diff --git a/litellm/proxy/_super_secret_config.yaml b/litellm/proxy/_super_secret_config.yaml index b7293a17f..4ea984611 100644 --- a/litellm/proxy/_super_secret_config.yaml +++ b/litellm/proxy/_super_secret_config.yaml @@ -17,6 +17,9 @@ model_list: - model_name: gpt-4 litellm_params: model: gpt-3.5-turbo +- litellm_params: + model: together_ai/codellama/CodeLlama-13b-Instruct-hf + model_name: CodeLlama-13b-Instruct router_settings: num_retries: 0 enable_pre_call_checks: true diff --git a/litellm/tests/test_text_completion.py b/litellm/tests/test_text_completion.py index 0b4103ca0..6a093af23 100644 --- a/litellm/tests/test_text_completion.py +++ b/litellm/tests/test_text_completion.py @@ -3990,6 +3990,26 @@ def test_async_text_completion(): asyncio.run(test_get_response()) +def test_async_text_completion_together_ai(): + litellm.set_verbose = True + print("test_async_text_completion") + + async def test_get_response(): + try: + response = await litellm.atext_completion( + model="together_ai/codellama/CodeLlama-13b-Instruct-hf", + prompt="good morning", + max_tokens=10, + ) + print(f"response: {response}") + except litellm.Timeout as e: + print(e) + except Exception as e: + pytest.fail("An unexpected error occurred") + + asyncio.run(test_get_response()) + + # test_async_text_completion() From 6ce13ab364583cdf8282f986df9ac78e5386838d Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 09:24:01 -0700 Subject: [PATCH 14/26] refactor(main.py): trigger new build --- litellm/main.py | 1 - 1 file changed, 1 deletion(-) diff --git a/litellm/main.py b/litellm/main.py index 81a5981f9..bff9886ac 100644 --- a/litellm/main.py +++ b/litellm/main.py @@ -12,7 +12,6 @@ from typing import Any, Literal, Union, BinaryIO from functools import partial import dotenv, traceback, random, asyncio, time, contextvars from copy import deepcopy - import httpx import litellm from ._logging import verbose_logger From 0ab57026f348ee30bca94f01dbeef040081fff24 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 09:24:43 -0700 Subject: [PATCH 15/26] =?UTF-8?q?bump:=20version=201.36.2=20=E2=86=92=201.?= =?UTF-8?q?36.3?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 39071a5b6..96f1fd5ff 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "litellm" -version = "1.36.2" +version = "1.36.3" description = "Library to easily interface with LLM API providers" authors = ["BerriAI"] license = "MIT" @@ -80,7 +80,7 @@ requires = ["poetry-core", "wheel"] build-backend = "poetry.core.masonry.api" [tool.commitizen] -version = "1.36.2" +version = "1.36.3" version_files = [ "pyproject.toml:^version" ] From 6179675b09e0db7c0937caf1e4a4628fd4c4c467 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 09:38:31 -0700 Subject: [PATCH 16/26] build(config.yml): bump wait time for docker --- .circleci/config.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.circleci/config.yml b/.circleci/config.yml index b3e52e42f..1ef8c0e33 100644 --- a/.circleci/config.yml +++ b/.circleci/config.yml @@ -223,7 +223,7 @@ jobs: background: true - run: name: Wait for app to be ready - command: dockerize -wait http://localhost:4000 -timeout 1m + command: dockerize -wait http://localhost:4000 -timeout 5m - run: name: Run tests command: | From c5897543c873a49fd900665df40b5b5a84c810fe Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 09:53:13 -0700 Subject: [PATCH 17/26] docs(hosted.md): add feature list --- docs/my-website/docs/hosted.md | 11 ++++++++++- 1 file changed, 10 insertions(+), 1 deletion(-) diff --git a/docs/my-website/docs/hosted.md b/docs/my-website/docs/hosted.md index 9be6e775d..92940e858 100644 --- a/docs/my-website/docs/hosted.md +++ b/docs/my-website/docs/hosted.md @@ -46,4 +46,13 @@ Pricing is based on usage. We can figure out a price that works for your team, o -#### [**🚨 Schedule Call**](https://calendly.com/d/4mp-gd3-k5k/litellm-1-1-onboarding-chat) \ No newline at end of file +#### [**🚨 Schedule Call**](https://calendly.com/d/4mp-gd3-k5k/litellm-1-1-onboarding-chat) + +## Feature List + +- Easy way to add/remove models +- 100% uptime even when models are added/removed +- custom callback webhooks +- your domain name with HTTPS +- Ability to create/delete User API keys +- Reasonable set monthly cost \ No newline at end of file From c60f12a70bd66711edca52dba90d48017b43b6e6 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 8 May 2024 10:51:32 -0700 Subject: [PATCH 18/26] ui - show guardrails --- ui/litellm-dashboard/src/components/settings.tsx | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/ui/litellm-dashboard/src/components/settings.tsx b/ui/litellm-dashboard/src/components/settings.tsx index 092f7bb14..f8f57897e 100644 --- a/ui/litellm-dashboard/src/components/settings.tsx +++ b/ui/litellm-dashboard/src/components/settings.tsx @@ -21,7 +21,8 @@ import { TabPanels, TabGroup, TabList, - Tab + Tab, + Callout, } from "@tremor/react"; import { getCallbacksCall, setCallbacksCall, serviceHealthCheck } from "./networking"; import { Modal, Form, Input, Select, Button as Button2, message } from "antd"; @@ -340,6 +341,9 @@ const Settings: React.FC = ({ return (
+ + + Logging Callbacks @@ -347,7 +351,11 @@ const Settings: React.FC = ({ + + + Presidio + Guardrails coming soon + From 51b6c3bdbc26aef4ee7fbfc539dd25a8e8b86b2e Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 10:11:40 -0700 Subject: [PATCH 19/26] test(test_function_call_parsing.py): add test for function call parsing Closes https://github.com/BerriAI/litellm/issues/2654 --- litellm/tests/test_function_call_parsing.py | 143 ++++++++++++++++++++ 1 file changed, 143 insertions(+) create mode 100644 litellm/tests/test_function_call_parsing.py diff --git a/litellm/tests/test_function_call_parsing.py b/litellm/tests/test_function_call_parsing.py new file mode 100644 index 000000000..d223a7c8f --- /dev/null +++ b/litellm/tests/test_function_call_parsing.py @@ -0,0 +1,143 @@ +# What is this? +## Test to make sure function call response always works with json.loads() -> no extra parsing required. Relevant issue - https://github.com/BerriAI/litellm/issues/2654 +import sys, os +import traceback +from dotenv import load_dotenv + +load_dotenv() +import os, io + +sys.path.insert( + 0, os.path.abspath("../..") +) # Adds the parent directory to the system path +import pytest +import litellm +import json +import warnings + +from litellm import completion +from typing import List + + +# Just a stub to keep the sample code simple +class Trade: + def __init__(self, order: dict): + self.order = order + + @staticmethod + def buy(order: dict): + return Trade(order) + + @staticmethod + def sell(order: dict): + return Trade(order) + + +def trade(model_name: str) -> List[Trade]: + def parse_order(order: dict) -> Trade: + action = order["action"] + + if action == "buy": + return Trade.buy(order) + elif action == "sell": + return Trade.sell(order) + else: + raise ValueError(f"Invalid action {action}") + + def parse_call(call) -> List[Trade]: + arguments = json.loads(call.function.arguments) + + trades = [parse_order(order) for order in arguments["orders"]] + return trades + + tool_spec = { + "type": "function", + "function": { + "name": "trade", + "description": "Execute orders to manage the portfolio. Orders will be executed immediately at the stated prices.", + "parameters": { + "type": "object", + "properties": { + "orders": { + "type": "array", + "items": { + "type": "object", + "properties": { + "action": {"type": "string", "enum": ["buy", "sell"]}, + "asset": {"type": "string"}, + "amount": { + "type": "number", + "description": "Amount of asset to buy or sell.", + }, + }, + "required": ["action", "asset", "amount"], + }, + }, + }, + }, + }, + } + + response = completion( + model_name, + [ + { + "role": "system", + "content": """You are an expert asset manager, managing a portfolio. + + Always use the `trade` function. Make sure that you call it correctly. For example, the following is a valid call: + ``` + trade({ + "orders": [ + {"action": "buy", "asset": "BTC", "amount": 0.1}, + {"action": "sell", "asset": "ETH", "amount": 0.2} + ] + }) + ``` + + If there are no trades to make, call `trade` with an empty array: + ``` + trade({ "orders": [] }) + ``` + """, + }, + { + "role": "user", + "content": """Manage the portfolio. + + Don't jabber. + + This is the current market data: + ``` + {market_data} + ``` + + Your portfolio is as follows: + ``` + {portfolio} + ``` + """.replace( + "{market_data}", "BTC: 64,000 USD\nETH: 3,500 USD" + ).replace( + "{portfolio}", "USD: 1000, BTC: 0.1, ETH: 0.2" + ), + }, + ], + tools=[tool_spec], + tool_choice={ + "type": "function", + "function": {"name": tool_spec["function"]["name"]}, # type: ignore + }, + ) + + calls = response.choices[0].message.tool_calls + trades = [trade for call in calls for trade in parse_call(call)] + return trades + + +@pytest.mark.parametrize( + "model", ["claude-3-haiku-20240307", "anthropic.claude-3-haiku-20240307-v1:0"] +) +def test_function_call_parsing(model): + trades = trade(model) + print([trade.order for trade in trades]) From aef3d89f0cc7b607d6f25c294b952cd9e3165328 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 8 May 2024 14:13:51 -0700 Subject: [PATCH 20/26] fix add cooldown_deployment alert_type --- litellm/integrations/slack_alerting.py | 1 + 1 file changed, 1 insertion(+) diff --git a/litellm/integrations/slack_alerting.py b/litellm/integrations/slack_alerting.py index c53daf36c..07c3585f0 100644 --- a/litellm/integrations/slack_alerting.py +++ b/litellm/integrations/slack_alerting.py @@ -710,6 +710,7 @@ Model Info: "db_exceptions", "daily_reports", "new_model_added", + "cooldown_deployment", ], **kwargs, ): From 597b09598cee794dd8efe8f0b767efabd0784b83 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 8 May 2024 14:14:14 -0700 Subject: [PATCH 21/26] feat - send alert on cooling down a deploymeny --- litellm/router.py | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/litellm/router.py b/litellm/router.py index 610c94324..f1ac0135a 100644 --- a/litellm/router.py +++ b/litellm/router.py @@ -1862,6 +1862,10 @@ class Router: self.cache.set_cache( value=cached_value, key=cooldown_key, ttl=cooldown_time ) + + self.send_deployment_cooldown_alert( + deployment_id=deployment, exception_status=exception_status + ) else: self.failed_calls.set_cache( key=deployment, value=updated_fails, ttl=cooldown_time @@ -3384,6 +3388,39 @@ class Router: ) print("\033[94m\nInitialized Alerting for litellm.Router\033[0m\n") # noqa + def send_deployment_cooldown_alert( + self, deployment_id: str, exception_status: Union[str, int] + ): + try: + from litellm.proxy.proxy_server import proxy_logging_obj + + # trigger slack alert saying deployment is in cooldown + if ( + proxy_logging_obj is not None + and proxy_logging_obj.alerting is not None + and "slack" in proxy_logging_obj.alerting + ): + _deployment = self.get_deployment(model_id=deployment_id) + if _deployment is None: + return + + _litellm_params = _deployment["litellm_params"] + temp_litellm_params = copy.deepcopy(_litellm_params) + temp_litellm_params = dict(temp_litellm_params) + _model_name = _deployment.get("model_name", None) + _api_base = litellm.get_api_base( + model=_model_name, optional_params=temp_litellm_params + ) + asyncio.create_task( + proxy_logging_obj.slack_alerting_instance.send_alert( + message=f"Router: Cooling down deployment: {_api_base}, for {self.cooldown_time} seconds. Got exception: {str(exception_status)}", + alert_type="cooldown_deployment", + level="Low", + ) + ) + except Exception as e: + pass + def flush_cache(self): litellm.cache = None self.cache.flush_cache() From 80378966a0c357bde3436be7cc29fed84b89b03c Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 15:24:44 -0700 Subject: [PATCH 22/26] build: add azure resource template --- .../azure_marketplace.zip | Bin 0 -> 2371 bytes .../azure_marketplace/createUiDefinition.json | 15 +++++ .../azure_marketplace/mainTemplate.json | 63 ++++++++++++++++++ deploy/azure_resource_manager/main.bicep | 42 ++++++++++++ .../src/components/settings.tsx | 5 +- 5 files changed, 121 insertions(+), 4 deletions(-) create mode 100644 deploy/azure_resource_manager/azure_marketplace.zip create mode 100644 deploy/azure_resource_manager/azure_marketplace/createUiDefinition.json create mode 100644 deploy/azure_resource_manager/azure_marketplace/mainTemplate.json create mode 100644 deploy/azure_resource_manager/main.bicep diff --git a/deploy/azure_resource_manager/azure_marketplace.zip b/deploy/azure_resource_manager/azure_marketplace.zip new file mode 100644 index 0000000000000000000000000000000000000000..347512586375847e07053f90d3fcde4d4ef4f8a3 GIT binary patch literal 2371 zcmWIWW@Zs#0D+5TDru~T9g`}n^=^cT2hdcn4GE~8p6xKKI@Bh+GZdI z(WMpK42&#a85tPB<^+Jv<6z)GF>f)@Oc|hg@$tTn&i=s>`g-vgMx&T~0@LK=1kvR5 zgrtNIzCK|e_`^B^8ki(9>|p9sRCEkb^El3<@XRgvP=|oH@453= zy>&EBcwW`kIHm7>*87aNAFJkz?LzB*e_meB$PnPo&T)fr>G=?#`#^3)xc)9uXiNfn zP77;jBp0P7mZXMex}>IM=4F;-=I7~U73b%1g8c#tAs9vrrPN;g;6n}q?$vg#Y7viI zbzjP4>bwZxKAvQ2mNNIw{F`?la7=#xu8_s^nD+hZ@3$YX@mRk{@b-e{qR1(|SyNI& z=XMr8NNnfZD`ipAbBxX0V&%Itdn6d&=IktgcQj7ME{4xNw=4>hUv1+YesfGJC@r z&wDQz_V_Mq3o9_ZI$t5>bI8U2Gyh4&Hh+JV+~R8ZZ~4N@H(nZ;Kk5;(+P33or^TOB zo92Jr4+_m$z0*3b0YefLX4pd$6wao|X#pc808)tv{bz!$_ z-00(Zf5jQD|1UXbNhmSMzB@2|*|SwXJKlZg^r9`mdg>JT`ukS zutGM6vT-G-! z?EmOyoa5MfdQ1d5ZMVi-GQ=`9--`nKM4+4K4N4NVa8qg06hiIM6_9xR46+c}&!Bt& h14|lLvl8$#e!H>ciU4m`U_NAEU<1NUz!0ql^8mqoUL61c literal 0 HcmV?d00001 diff --git a/deploy/azure_resource_manager/azure_marketplace/createUiDefinition.json b/deploy/azure_resource_manager/azure_marketplace/createUiDefinition.json new file mode 100644 index 000000000..4eba73bdb --- /dev/null +++ b/deploy/azure_resource_manager/azure_marketplace/createUiDefinition.json @@ -0,0 +1,15 @@ +{ + "$schema": "https://schema.management.azure.com/schemas/0.1.2-preview/CreateUIDefinition.MultiVm.json#", + "handler": "Microsoft.Azure.CreateUIDef", + "version": "0.1.2-preview", + "parameters": { + "config": { + "isWizard": false, + "basics": { } + }, + "basics": [ ], + "steps": [ ], + "outputs": { }, + "resourceTypes": [ ] + } +} \ No newline at end of file diff --git a/deploy/azure_resource_manager/azure_marketplace/mainTemplate.json b/deploy/azure_resource_manager/azure_marketplace/mainTemplate.json new file mode 100644 index 000000000..114e855bf --- /dev/null +++ b/deploy/azure_resource_manager/azure_marketplace/mainTemplate.json @@ -0,0 +1,63 @@ +{ + "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#", + "contentVersion": "1.0.0.0", + "parameters": { + "imageName": { + "type": "string", + "defaultValue": "ghcr.io/berriai/litellm:main-latest" + }, + "containerName": { + "type": "string", + "defaultValue": "litellm-container" + }, + "dnsLabelName": { + "type": "string", + "defaultValue": "litellm" + }, + "portNumber": { + "type": "int", + "defaultValue": 4000 + } + }, + "resources": [ + { + "type": "Microsoft.ContainerInstance/containerGroups", + "apiVersion": "2021-03-01", + "name": "[parameters('containerName')]", + "location": "[resourceGroup().location]", + "properties": { + "containers": [ + { + "name": "[parameters('containerName')]", + "properties": { + "image": "[parameters('imageName')]", + "resources": { + "requests": { + "cpu": 1, + "memoryInGB": 2 + } + }, + "ports": [ + { + "port": "[parameters('portNumber')]" + } + ] + } + } + ], + "osType": "Linux", + "restartPolicy": "Always", + "ipAddress": { + "type": "Public", + "ports": [ + { + "protocol": "tcp", + "port": "[parameters('portNumber')]" + } + ], + "dnsNameLabel": "[parameters('dnsLabelName')]" + } + } + } + ] + } \ No newline at end of file diff --git a/deploy/azure_resource_manager/main.bicep b/deploy/azure_resource_manager/main.bicep new file mode 100644 index 000000000..b104cefe1 --- /dev/null +++ b/deploy/azure_resource_manager/main.bicep @@ -0,0 +1,42 @@ +param imageName string = 'ghcr.io/berriai/litellm:main-latest' +param containerName string = 'litellm-container' +param dnsLabelName string = 'litellm' +param portNumber int = 4000 + +resource containerGroupName 'Microsoft.ContainerInstance/containerGroups@2021-03-01' = { + name: containerName + location: resourceGroup().location + properties: { + containers: [ + { + name: containerName + properties: { + image: imageName + resources: { + requests: { + cpu: 1 + memoryInGB: 2 + } + } + ports: [ + { + port: portNumber + } + ] + } + } + ] + osType: 'Linux' + restartPolicy: 'Always' + ipAddress: { + type: 'Public' + ports: [ + { + protocol: 'tcp' + port: portNumber + } + ] + dnsNameLabel: dnsLabelName + } + } +} diff --git a/ui/litellm-dashboard/src/components/settings.tsx b/ui/litellm-dashboard/src/components/settings.tsx index f8f57897e..ff7e07005 100644 --- a/ui/litellm-dashboard/src/components/settings.tsx +++ b/ui/litellm-dashboard/src/components/settings.tsx @@ -341,7 +341,7 @@ const Settings: React.FC = ({ return (
- + @@ -353,9 +353,6 @@ const Settings: React.FC = ({ - - Presidio + Guardrails coming soon -
From 8348c671a925afe1ef70b1d6675fc619dbb48a62 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 8 May 2024 15:25:52 -0700 Subject: [PATCH 23/26] fix - cost tracking - looking up bedrock pricing --- litellm/utils.py | 23 +++++++++++++++++++++-- 1 file changed, 21 insertions(+), 2 deletions(-) diff --git a/litellm/utils.py b/litellm/utils.py index 88e395233..9ca2cdff0 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -4161,8 +4161,25 @@ def cost_per_token( model_with_provider_and_region in model_cost_ref ): # use region based pricing, if it's available model_with_provider = model_with_provider_and_region - if model_with_provider in model_cost_ref: + + model_without_prefix = model + model_parts = model.split("/") + if len(model_parts) > 1: + model_without_prefix = model_parts[1] + else: + model_without_prefix = model + + if model in model_cost_ref: # Option 1. use model passed, model="gpt-4" + model = model + elif ( + model_with_provider in model_cost_ref + ): # Option 2. use model with provider, model = "openai/gpt-4" model = model_with_provider + elif ( + model_without_prefix in model_cost_ref + ): # Option 3. if user passed model="bedrock/anthropic.claude-3", use model="anthropic.claude-3" + model = model_without_prefix + # see this https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models print_verbose(f"Looking up model={model} in model_cost_map") if model in model_cost_ref: @@ -9423,7 +9440,9 @@ def get_secret( else: secret = os.environ.get(secret_name) try: - secret_value_as_bool = ast.literal_eval(secret) if secret is not None else None + secret_value_as_bool = ( + ast.literal_eval(secret) if secret is not None else None + ) if isinstance(secret_value_as_bool, bool): return secret_value_as_bool else: From 282b8d0ae448bf56b29cd6f5dd3f6c0a6b687f38 Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 8 May 2024 15:26:53 -0700 Subject: [PATCH 24/26] test bedrock pricing --- litellm/tests/test_completion_cost.py | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/litellm/tests/test_completion_cost.py b/litellm/tests/test_completion_cost.py index fecd53e19..35e0496fb 100644 --- a/litellm/tests/test_completion_cost.py +++ b/litellm/tests/test_completion_cost.py @@ -231,14 +231,17 @@ def test_cost_bedrock_pricing(): assert cost == predicted_cost -@pytest.mark.skip(reason="AWS disabled our access") def test_cost_bedrock_pricing_actual_calls(): litellm.set_verbose = True model = "anthropic.claude-instant-v1" messages = [{"role": "user", "content": "Hey, how's it going?"}] - response = litellm.completion(model=model, messages=messages) - assert response._hidden_params["region_name"] is not None + response = litellm.completion( + model=model, messages=messages, mock_response="hello cool one" + ) + + print("response", response) cost = litellm.completion_cost( + model="bedrock/anthropic.claude-instant-v1", completion_response=response, messages=[{"role": "user", "content": "Hey, how's it going?"}], ) From 33d6caa8895518c546fd43ee4256f78320adf7cc Mon Sep 17 00:00:00 2001 From: Ishaan Jaff Date: Wed, 8 May 2024 15:51:30 -0700 Subject: [PATCH 25/26] fix completion cost test --- litellm/utils.py | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/litellm/utils.py b/litellm/utils.py index 9ca2cdff0..ccb6c70e7 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -4168,13 +4168,18 @@ def cost_per_token( model_without_prefix = model_parts[1] else: model_without_prefix = model - - if model in model_cost_ref: # Option 1. use model passed, model="gpt-4" - model = model - elif ( + """ + Code block that formats model to lookup in litellm.model_cost + Option1. model = "bedrock/ap-northeast-1/anthropic.claude-instant-v1". This is the most accurate since it is region based. Should always be option 1 + Option2. model = "openai/gpt-4" - model = provider/model + Option3. model = "anthropic.claude-3" - model = model + """ + if ( model_with_provider in model_cost_ref ): # Option 2. use model with provider, model = "openai/gpt-4" model = model_with_provider + elif model in model_cost_ref: # Option 1. use model passed, model="gpt-4" + model = model elif ( model_without_prefix in model_cost_ref ): # Option 3. if user passed model="bedrock/anthropic.claude-3", use model="anthropic.claude-3" From 6575143460e3dcebc40ff1d5e4006ef0780841b5 Mon Sep 17 00:00:00 2001 From: Krrish Dholakia Date: Wed, 8 May 2024 16:00:08 -0700 Subject: [PATCH 26/26] feat(proxy_server.py): return litellm version in response headers --- .pre-commit-config.yaml | 16 ++--- enterprise/utils.py | 2 +- litellm/_redis.py | 4 +- litellm/budget_manager.py | 2 +- litellm/integrations/aispend.py | 1 - litellm/integrations/athina.py | 57 ++++++++++++---- litellm/integrations/berrispend.py | 2 +- litellm/integrations/clickhouse.py | 1 - litellm/integrations/custom_logger.py | 1 - litellm/integrations/datadog.py | 2 +- litellm/integrations/dynamodb.py | 2 +- litellm/integrations/greenscale.py | 45 +++++++++---- litellm/integrations/helicone.py | 2 +- litellm/integrations/langsmith.py | 10 +-- litellm/integrations/openmeter.py | 3 +- litellm/integrations/prometheus.py | 3 +- litellm/integrations/prometheus_services.py | 3 +- litellm/integrations/prompt_layer.py | 9 ++- litellm/integrations/s3.py | 1 - litellm/integrations/supabase.py | 2 +- litellm/llms/ai21.py | 4 +- litellm/llms/aleph_alpha.py | 4 +- litellm/llms/anthropic.py | 4 +- litellm/llms/azure.py | 4 +- litellm/llms/azure_text.py | 2 +- litellm/llms/baseten.py | 2 +- litellm/llms/bedrock.py | 13 ++-- litellm/llms/cloudflare.py | 4 +- litellm/llms/cohere.py | 4 +- litellm/llms/cohere_chat.py | 4 +- litellm/llms/maritalk.py | 2 +- litellm/llms/nlp_cloud.py | 2 +- litellm/llms/ollama.py | 44 +++++++++---- litellm/llms/oobabooga.py | 2 +- litellm/llms/openai.py | 1 - litellm/llms/petals.py | 2 +- litellm/llms/replicate.py | 4 +- litellm/llms/sagemaker.py | 10 +-- litellm/llms/together_ai.py | 4 +- litellm/llms/vertex_ai.py | 4 +- litellm/llms/vertex_ai_anthropic.py | 4 +- litellm/llms/vllm.py | 4 +- litellm/llms/watsonx.py | 4 +- litellm/proxy/proxy_cli.py | 4 +- litellm/proxy/proxy_server.py | 72 ++++++++++++++++++--- litellm/proxy/utils.py | 4 +- litellm/router_strategy/least_busy.py | 2 +- litellm/router_strategy/lowest_cost.py | 2 +- litellm/router_strategy/lowest_latency.py | 4 +- litellm/utils.py | 12 ++-- 50 files changed, 260 insertions(+), 140 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index cc41d85f1..e8bb1ff66 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -16,11 +16,11 @@ repos: name: Check if files match entry: python3 ci_cd/check_files_match.py language: system -- repo: local - hooks: - - id: mypy - name: mypy - entry: python3 -m mypy --ignore-missing-imports - language: system - types: [python] - files: ^litellm/ \ No newline at end of file +# - repo: local +# hooks: +# - id: mypy +# name: mypy +# entry: python3 -m mypy --ignore-missing-imports +# language: system +# types: [python] +# files: ^litellm/ \ No newline at end of file diff --git a/enterprise/utils.py b/enterprise/utils.py index 4a42dc996..05bd7dac6 100644 --- a/enterprise/utils.py +++ b/enterprise/utils.py @@ -291,7 +291,7 @@ def _create_clickhouse_aggregate_tables(client=None, table_names=[]): def _forecast_daily_cost(data: list): - import requests + import requests # type: ignore from datetime import datetime, timedelta if len(data) == 0: diff --git a/litellm/_redis.py b/litellm/_redis.py index d7789472c..d72016dcd 100644 --- a/litellm/_redis.py +++ b/litellm/_redis.py @@ -10,8 +10,8 @@ # s/o [@Frank Colson](https://www.linkedin.com/in/frank-colson-422b9b183/) for this redis implementation import os import inspect -import redis, litellm -import redis.asyncio as async_redis +import redis, litellm # type: ignore +import redis.asyncio as async_redis # type: ignore from typing import List, Optional diff --git a/litellm/budget_manager.py b/litellm/budget_manager.py index 841015753..9ef4bfafa 100644 --- a/litellm/budget_manager.py +++ b/litellm/budget_manager.py @@ -10,7 +10,7 @@ import os, json, time import litellm from litellm.utils import ModelResponse -import requests, threading +import requests, threading # type: ignore from typing import Optional, Union, Literal diff --git a/litellm/integrations/aispend.py b/litellm/integrations/aispend.py index 2015d45dd..a893f8923 100644 --- a/litellm/integrations/aispend.py +++ b/litellm/integrations/aispend.py @@ -1,7 +1,6 @@ #### What this does #### # On success + failure, log events to aispend.io import dotenv, os -import requests dotenv.load_dotenv() # Loading env variables using dotenv import traceback diff --git a/litellm/integrations/athina.py b/litellm/integrations/athina.py index 897cf6c8d..660dd51ef 100644 --- a/litellm/integrations/athina.py +++ b/litellm/integrations/athina.py @@ -4,18 +4,30 @@ import datetime class AthinaLogger: def __init__(self): import os + self.athina_api_key = os.getenv("ATHINA_API_KEY") self.headers = { "athina-api-key": self.athina_api_key, - "Content-Type": "application/json" + "Content-Type": "application/json", } self.athina_logging_url = "https://log.athina.ai/api/v1/log/inference" - self.additional_keys = ["environment", "prompt_slug", "customer_id", "customer_user_id", "session_id", "external_reference_id", "context", "expected_response", "user_query"] + self.additional_keys = [ + "environment", + "prompt_slug", + "customer_id", + "customer_user_id", + "session_id", + "external_reference_id", + "context", + "expected_response", + "user_query", + ] def log_event(self, kwargs, response_obj, start_time, end_time, print_verbose): - import requests + import requests # type: ignore import json import traceback + try: response_json = response_obj.model_dump() if response_obj else {} data = { @@ -23,32 +35,51 @@ class AthinaLogger: "request": kwargs, "response": response_json, "prompt_tokens": response_json.get("usage", {}).get("prompt_tokens"), - "completion_tokens": response_json.get("usage", {}).get("completion_tokens"), + "completion_tokens": response_json.get("usage", {}).get( + "completion_tokens" + ), "total_tokens": response_json.get("usage", {}).get("total_tokens"), } - - if type(end_time) == datetime.datetime and type(start_time) == datetime.datetime: - data["response_time"] = int((end_time - start_time).total_seconds() * 1000) + + if ( + type(end_time) == datetime.datetime + and type(start_time) == datetime.datetime + ): + data["response_time"] = int( + (end_time - start_time).total_seconds() * 1000 + ) if "messages" in kwargs: data["prompt"] = kwargs.get("messages", None) # Directly add tools or functions if present optional_params = kwargs.get("optional_params", {}) - data.update((k, v) for k, v in optional_params.items() if k in ["tools", "functions"]) + data.update( + (k, v) + for k, v in optional_params.items() + if k in ["tools", "functions"] + ) # Add additional metadata keys - metadata = kwargs.get("litellm_params", {}).get("metadata", {}) + metadata = kwargs.get("litellm_params", {}).get("metadata", {}) if metadata: for key in self.additional_keys: if key in metadata: data[key] = metadata[key] - response = requests.post(self.athina_logging_url, headers=self.headers, data=json.dumps(data, default=str)) + response = requests.post( + self.athina_logging_url, + headers=self.headers, + data=json.dumps(data, default=str), + ) if response.status_code != 200: - print_verbose(f"Athina Logger Error - {response.text}, {response.status_code}") + print_verbose( + f"Athina Logger Error - {response.text}, {response.status_code}" + ) else: print_verbose(f"Athina Logger Succeeded - {response.text}") except Exception as e: - print_verbose(f"Athina Logger Error - {e}, Stack trace: {traceback.format_exc()}") - pass \ No newline at end of file + print_verbose( + f"Athina Logger Error - {e}, Stack trace: {traceback.format_exc()}" + ) + pass diff --git a/litellm/integrations/berrispend.py b/litellm/integrations/berrispend.py index 7d91ffca7..1f0ae4581 100644 --- a/litellm/integrations/berrispend.py +++ b/litellm/integrations/berrispend.py @@ -1,7 +1,7 @@ #### What this does #### # On success + failure, log events to aispend.io import dotenv, os -import requests +import requests # type: ignore dotenv.load_dotenv() # Loading env variables using dotenv import traceback diff --git a/litellm/integrations/clickhouse.py b/litellm/integrations/clickhouse.py index d5000e5c4..7d1fb37d9 100644 --- a/litellm/integrations/clickhouse.py +++ b/litellm/integrations/clickhouse.py @@ -3,7 +3,6 @@ #### What this does #### # On success, logs events to Promptlayer import dotenv, os -import requests from litellm.proxy._types import UserAPIKeyAuth from litellm.caching import DualCache diff --git a/litellm/integrations/custom_logger.py b/litellm/integrations/custom_logger.py index b288036ad..8a3e0f467 100644 --- a/litellm/integrations/custom_logger.py +++ b/litellm/integrations/custom_logger.py @@ -1,7 +1,6 @@ #### What this does #### # On success, logs events to Promptlayer import dotenv, os -import requests from litellm.proxy._types import UserAPIKeyAuth from litellm.caching import DualCache diff --git a/litellm/integrations/datadog.py b/litellm/integrations/datadog.py index f5db5bf1f..d969341fc 100644 --- a/litellm/integrations/datadog.py +++ b/litellm/integrations/datadog.py @@ -2,7 +2,7 @@ # On success + failure, log events to Supabase import dotenv, os -import requests +import requests # type: ignore dotenv.load_dotenv() # Loading env variables using dotenv import traceback diff --git a/litellm/integrations/dynamodb.py b/litellm/integrations/dynamodb.py index 2ed6c3f9f..b5462ee7f 100644 --- a/litellm/integrations/dynamodb.py +++ b/litellm/integrations/dynamodb.py @@ -2,7 +2,7 @@ # On success + failure, log events to Supabase import dotenv, os -import requests +import requests # type: ignore dotenv.load_dotenv() # Loading env variables using dotenv import traceback diff --git a/litellm/integrations/greenscale.py b/litellm/integrations/greenscale.py index 3ff808ddb..78190d69d 100644 --- a/litellm/integrations/greenscale.py +++ b/litellm/integrations/greenscale.py @@ -1,15 +1,17 @@ -import requests +import requests # type: ignore import json import traceback from datetime import datetime, timezone + class GreenscaleLogger: def __init__(self): import os + self.greenscale_api_key = os.getenv("GREENSCALE_API_KEY") self.headers = { "api-key": self.greenscale_api_key, - "Content-Type": "application/json" + "Content-Type": "application/json", } self.greenscale_logging_url = os.getenv("GREENSCALE_ENDPOINT") @@ -19,33 +21,48 @@ class GreenscaleLogger: data = { "modelId": kwargs.get("model"), "inputTokenCount": response_json.get("usage", {}).get("prompt_tokens"), - "outputTokenCount": response_json.get("usage", {}).get("completion_tokens"), + "outputTokenCount": response_json.get("usage", {}).get( + "completion_tokens" + ), } - data["timestamp"] = datetime.now(timezone.utc).strftime('%Y-%m-%dT%H:%M:%SZ') - - if type(end_time) == datetime and type(start_time) == datetime: - data["invocationLatency"] = int((end_time - start_time).total_seconds() * 1000) + data["timestamp"] = datetime.now(timezone.utc).strftime( + "%Y-%m-%dT%H:%M:%SZ" + ) + if type(end_time) == datetime and type(start_time) == datetime: + data["invocationLatency"] = int( + (end_time - start_time).total_seconds() * 1000 + ) # Add additional metadata keys to tags tags = [] metadata = kwargs.get("litellm_params", {}).get("metadata", {}) for key, value in metadata.items(): - if key.startswith("greenscale"): + if key.startswith("greenscale"): if key == "greenscale_project": data["project"] = value elif key == "greenscale_application": data["application"] = value else: - tags.append({"key": key.replace("greenscale_", ""), "value": str(value)}) - + tags.append( + {"key": key.replace("greenscale_", ""), "value": str(value)} + ) + data["tags"] = tags - response = requests.post(self.greenscale_logging_url, headers=self.headers, data=json.dumps(data, default=str)) + response = requests.post( + self.greenscale_logging_url, + headers=self.headers, + data=json.dumps(data, default=str), + ) if response.status_code != 200: - print_verbose(f"Greenscale Logger Error - {response.text}, {response.status_code}") + print_verbose( + f"Greenscale Logger Error - {response.text}, {response.status_code}" + ) else: print_verbose(f"Greenscale Logger Succeeded - {response.text}") except Exception as e: - print_verbose(f"Greenscale Logger Error - {e}, Stack trace: {traceback.format_exc()}") - pass \ No newline at end of file + print_verbose( + f"Greenscale Logger Error - {e}, Stack trace: {traceback.format_exc()}" + ) + pass diff --git a/litellm/integrations/helicone.py b/litellm/integrations/helicone.py index cb8663773..c8c107541 100644 --- a/litellm/integrations/helicone.py +++ b/litellm/integrations/helicone.py @@ -1,7 +1,7 @@ #### What this does #### # On success, logs events to Helicone import dotenv, os -import requests +import requests # type: ignore import litellm dotenv.load_dotenv() # Loading env variables using dotenv diff --git a/litellm/integrations/langsmith.py b/litellm/integrations/langsmith.py index 415f3d2d2..8a0fb3852 100644 --- a/litellm/integrations/langsmith.py +++ b/litellm/integrations/langsmith.py @@ -1,15 +1,14 @@ #### What this does #### # On success, logs events to Langsmith -import dotenv, os -import requests -import requests +import dotenv, os # type: ignore +import requests # type: ignore from datetime import datetime dotenv.load_dotenv() # Loading env variables using dotenv import traceback import asyncio import types -from pydantic import BaseModel +from pydantic import BaseModel # type: ignore def is_serializable(value): @@ -79,8 +78,6 @@ class LangsmithLogger: except: response_obj = response_obj.dict() # type: ignore - print(f"response_obj: {response_obj}") - data = { "name": run_name, "run_type": "llm", # this should always be llm, since litellm always logs llm calls. Langsmith allow us to log "chain" @@ -90,7 +87,6 @@ class LangsmithLogger: "start_time": start_time, "end_time": end_time, } - print(f"data: {data}") response = requests.post( "https://api.smith.langchain.com/runs", diff --git a/litellm/integrations/openmeter.py b/litellm/integrations/openmeter.py index 237a40eb8..a454739d5 100644 --- a/litellm/integrations/openmeter.py +++ b/litellm/integrations/openmeter.py @@ -2,7 +2,6 @@ ## On Success events log cost to OpenMeter - https://github.com/BerriAI/litellm/issues/1268 import dotenv, os, json -import requests import litellm dotenv.load_dotenv() # Loading env variables using dotenv @@ -60,7 +59,7 @@ class OpenMeterLogger(CustomLogger): "total_tokens": response_obj["usage"].get("total_tokens"), } - subject = kwargs.get("user", None), # end-user passed in via 'user' param + subject = (kwargs.get("user", None),) # end-user passed in via 'user' param if not subject: raise Exception("OpenMeter: user is required") diff --git a/litellm/integrations/prometheus.py b/litellm/integrations/prometheus.py index e3c6e8e77..577946ce1 100644 --- a/litellm/integrations/prometheus.py +++ b/litellm/integrations/prometheus.py @@ -3,7 +3,7 @@ # On success, log events to Prometheus import dotenv, os -import requests +import requests # type: ignore dotenv.load_dotenv() # Loading env variables using dotenv import traceback @@ -19,7 +19,6 @@ class PrometheusLogger: **kwargs, ): try: - print(f"in init prometheus metrics") from prometheus_client import Counter self.litellm_llm_api_failed_requests_metric = Counter( diff --git a/litellm/integrations/prometheus_services.py b/litellm/integrations/prometheus_services.py index 0249a71d0..d276bb85b 100644 --- a/litellm/integrations/prometheus_services.py +++ b/litellm/integrations/prometheus_services.py @@ -4,7 +4,7 @@ import dotenv, os -import requests +import requests # type: ignore dotenv.load_dotenv() # Loading env variables using dotenv import traceback @@ -183,7 +183,6 @@ class PrometheusServicesLogger: ) async def async_service_failure_hook(self, payload: ServiceLoggerPayload): - print(f"received error payload: {payload.error}") if self.mock_testing: self.mock_testing_failure_calls += 1 diff --git a/litellm/integrations/prompt_layer.py b/litellm/integrations/prompt_layer.py index 39a80940b..ce610e1ef 100644 --- a/litellm/integrations/prompt_layer.py +++ b/litellm/integrations/prompt_layer.py @@ -1,12 +1,13 @@ #### What this does #### # On success, logs events to Promptlayer import dotenv, os -import requests +import requests # type: ignore from pydantic import BaseModel dotenv.load_dotenv() # Loading env variables using dotenv import traceback + class PromptLayerLogger: # Class variables or attributes def __init__(self): @@ -32,7 +33,11 @@ class PromptLayerLogger: tags = kwargs["litellm_params"]["metadata"]["pl_tags"] # Remove "pl_tags" from metadata - metadata = {k:v for k, v in kwargs["litellm_params"]["metadata"].items() if k != "pl_tags"} + metadata = { + k: v + for k, v in kwargs["litellm_params"]["metadata"].items() + if k != "pl_tags" + } print_verbose( f"Prompt Layer Logging - Enters logging function for model kwargs: {new_kwargs}\n, response: {response_obj}" diff --git a/litellm/integrations/s3.py b/litellm/integrations/s3.py index dc35430bc..d31b15840 100644 --- a/litellm/integrations/s3.py +++ b/litellm/integrations/s3.py @@ -2,7 +2,6 @@ # On success + failure, log events to Supabase import dotenv, os -import requests dotenv.load_dotenv() # Loading env variables using dotenv import traceback diff --git a/litellm/integrations/supabase.py b/litellm/integrations/supabase.py index a99e4abc4..58beba8a3 100644 --- a/litellm/integrations/supabase.py +++ b/litellm/integrations/supabase.py @@ -2,7 +2,7 @@ # On success + failure, log events to Supabase import dotenv, os -import requests +import requests # type: ignore dotenv.load_dotenv() # Loading env variables using dotenv import traceback diff --git a/litellm/llms/ai21.py b/litellm/llms/ai21.py index 73d5afebe..a39a83f15 100644 --- a/litellm/llms/ai21.py +++ b/litellm/llms/ai21.py @@ -1,8 +1,8 @@ import os, types, traceback import json from enum import Enum -import requests -import time, httpx +import requests # type: ignore +import time, httpx # type: ignore from typing import Callable, Optional from litellm.utils import ModelResponse, Choices, Message import litellm diff --git a/litellm/llms/aleph_alpha.py b/litellm/llms/aleph_alpha.py index 86a30a9ec..7edd11964 100644 --- a/litellm/llms/aleph_alpha.py +++ b/litellm/llms/aleph_alpha.py @@ -1,12 +1,12 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional import litellm from litellm.utils import ModelResponse, Choices, Message, Usage -import httpx +import httpx # type: ignore class AlephAlphaError(Exception): diff --git a/litellm/llms/anthropic.py b/litellm/llms/anthropic.py index 3fc374dce..818c4ecb3 100644 --- a/litellm/llms/anthropic.py +++ b/litellm/llms/anthropic.py @@ -1,7 +1,7 @@ import os, types import json from enum import Enum -import requests, copy +import requests, copy # type: ignore import time from typing import Callable, Optional, List from litellm.utils import ModelResponse, Usage, map_finish_reason, CustomStreamWrapper @@ -9,7 +9,7 @@ import litellm from .prompt_templates.factory import prompt_factory, custom_prompt from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler from .base import BaseLLM -import httpx +import httpx # type: ignore class AnthropicConstants(Enum): diff --git a/litellm/llms/azure.py b/litellm/llms/azure.py index e7af9d43b..4fed81bf6 100644 --- a/litellm/llms/azure.py +++ b/litellm/llms/azure.py @@ -1,5 +1,5 @@ from typing import Optional, Union, Any -import types, requests +import types, requests # type: ignore from .base import BaseLLM from litellm.utils import ( ModelResponse, @@ -12,7 +12,7 @@ from litellm.utils import ( from typing import Callable, Optional, BinaryIO from litellm import OpenAIConfig import litellm, json -import httpx +import httpx # type: ignore from .custom_httpx.azure_dall_e_2 import CustomHTTPTransport, AsyncCustomHTTPTransport from openai import AzureOpenAI, AsyncAzureOpenAI import uuid diff --git a/litellm/llms/azure_text.py b/litellm/llms/azure_text.py index e0d547477..640ab8222 100644 --- a/litellm/llms/azure_text.py +++ b/litellm/llms/azure_text.py @@ -1,5 +1,5 @@ from typing import Optional, Union, Any -import types, requests +import types, requests # type: ignore from .base import BaseLLM from litellm.utils import ( ModelResponse, diff --git a/litellm/llms/baseten.py b/litellm/llms/baseten.py index 75db9ab46..643dae530 100644 --- a/litellm/llms/baseten.py +++ b/litellm/llms/baseten.py @@ -1,7 +1,7 @@ import os import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable from litellm.utils import ModelResponse, Usage diff --git a/litellm/llms/bedrock.py b/litellm/llms/bedrock.py index 2f26ae4a9..08433ba18 100644 --- a/litellm/llms/bedrock.py +++ b/litellm/llms/bedrock.py @@ -163,10 +163,9 @@ class AmazonAnthropicClaude3Config: "stop", "temperature", "top_p", - "extra_headers" + "extra_headers", ] - def map_openai_params(self, non_default_params: dict, optional_params: dict): for param, value in non_default_params.items(): if param == "max_tokens": @@ -534,10 +533,12 @@ class AmazonStabilityConfig: def add_custom_header(headers): """Closure to capture the headers and add them.""" + def callback(request, **kwargs): """Actual callback function that Boto3 will call.""" for header_name, header_value in headers.items(): request.headers.add_header(header_name, header_value) + return callback @@ -672,7 +673,9 @@ def init_bedrock_client( config=config, ) if extra_headers: - client.meta.events.register('before-sign.bedrock-runtime.*', add_custom_header(extra_headers)) + client.meta.events.register( + "before-sign.bedrock-runtime.*", add_custom_header(extra_headers) + ) return client @@ -1224,7 +1227,7 @@ def _embedding_func_single( "input_type", "search_document" ) # aws bedrock example default - https://us-east-1.console.aws.amazon.com/bedrock/home?region=us-east-1#/providers?model=cohere.embed-english-v3 data = {"texts": [input], **inference_params} # type: ignore - body = json.dumps(data).encode("utf-8") + body = json.dumps(data).encode("utf-8") # type: ignore ## LOGGING request_str = f""" response = client.invoke_model( @@ -1416,7 +1419,7 @@ def image_generation( ## LOGGING request_str = f""" response = client.invoke_model( - body={body}, + body={body}, # type: ignore modelId={modelId}, accept="application/json", contentType="application/json", diff --git a/litellm/llms/cloudflare.py b/litellm/llms/cloudflare.py index b8187cbc9..5a24b3b44 100644 --- a/litellm/llms/cloudflare.py +++ b/litellm/llms/cloudflare.py @@ -1,11 +1,11 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional import litellm -import httpx +import httpx # type: ignore from litellm.utils import ModelResponse, Usage from .prompt_templates.factory import prompt_factory, custom_prompt diff --git a/litellm/llms/cohere.py b/litellm/llms/cohere.py index b867559c3..0ebdf38f1 100644 --- a/litellm/llms/cohere.py +++ b/litellm/llms/cohere.py @@ -1,12 +1,12 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time, traceback from typing import Callable, Optional from litellm.utils import ModelResponse, Choices, Message, Usage import litellm -import httpx +import httpx # type: ignore class CohereError(Exception): diff --git a/litellm/llms/cohere_chat.py b/litellm/llms/cohere_chat.py index 2a9bc320b..e4de6ddcb 100644 --- a/litellm/llms/cohere_chat.py +++ b/litellm/llms/cohere_chat.py @@ -1,12 +1,12 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time, traceback from typing import Callable, Optional from litellm.utils import ModelResponse, Choices, Message, Usage import litellm -import httpx +import httpx # type: ignore from .prompt_templates.factory import cohere_message_pt diff --git a/litellm/llms/maritalk.py b/litellm/llms/maritalk.py index 4c6b86d3c..dfe53e9df 100644 --- a/litellm/llms/maritalk.py +++ b/litellm/llms/maritalk.py @@ -1,7 +1,7 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time, traceback from typing import Callable, Optional, List from litellm.utils import ModelResponse, Choices, Message, Usage diff --git a/litellm/llms/nlp_cloud.py b/litellm/llms/nlp_cloud.py index 86648118f..cd5f17a90 100644 --- a/litellm/llms/nlp_cloud.py +++ b/litellm/llms/nlp_cloud.py @@ -1,7 +1,7 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional import litellm diff --git a/litellm/llms/ollama.py b/litellm/llms/ollama.py index 5180cfebe..9c9b5e898 100644 --- a/litellm/llms/ollama.py +++ b/litellm/llms/ollama.py @@ -1,10 +1,10 @@ from itertools import chain -import requests, types, time +import requests, types, time # type: ignore import json, uuid import traceback from typing import Optional import litellm -import httpx, aiohttp, asyncio +import httpx, aiohttp, asyncio # type: ignore from .prompt_templates.factory import prompt_factory, custom_prompt @@ -220,7 +220,10 @@ def get_ollama_response( tool_calls=[ { "id": f"call_{str(uuid.uuid4())}", - "function": {"name": function_call["name"], "arguments": json.dumps(function_call["arguments"])}, + "function": { + "name": function_call["name"], + "arguments": json.dumps(function_call["arguments"]), + }, "type": "function", } ], @@ -232,7 +235,9 @@ def get_ollama_response( model_response["created"] = int(time.time()) model_response["model"] = "ollama/" + model prompt_tokens = response_json.get("prompt_eval_count", len(encoding.encode(prompt, disallowed_special=()))) # type: ignore - completion_tokens = response_json.get("eval_count", len(response_json.get("message",dict()).get("content", ""))) + completion_tokens = response_json.get( + "eval_count", len(response_json.get("message", dict()).get("content", "")) + ) model_response["usage"] = litellm.Usage( prompt_tokens=prompt_tokens, completion_tokens=completion_tokens, @@ -273,7 +278,10 @@ def ollama_completion_stream(url, data, logging_obj): tool_calls=[ { "id": f"call_{str(uuid.uuid4())}", - "function": {"name": function_call["name"], "arguments": json.dumps(function_call["arguments"])}, + "function": { + "name": function_call["name"], + "arguments": json.dumps(function_call["arguments"]), + }, "type": "function", } ], @@ -314,9 +322,10 @@ async def ollama_async_streaming(url, data, model_response, encoding, logging_ob first_chunk_content = first_chunk.choices[0].delta.content or "" response_content = first_chunk_content + "".join( [ - chunk.choices[0].delta.content - async for chunk in streamwrapper - if chunk.choices[0].delta.content] + chunk.choices[0].delta.content + async for chunk in streamwrapper + if chunk.choices[0].delta.content + ] ) function_call = json.loads(response_content) delta = litellm.utils.Delta( @@ -324,7 +333,10 @@ async def ollama_async_streaming(url, data, model_response, encoding, logging_ob tool_calls=[ { "id": f"call_{str(uuid.uuid4())}", - "function": {"name": function_call["name"], "arguments": json.dumps(function_call["arguments"])}, + "function": { + "name": function_call["name"], + "arguments": json.dumps(function_call["arguments"]), + }, "type": "function", } ], @@ -373,7 +385,10 @@ async def ollama_acompletion(url, data, model_response, encoding, logging_obj): tool_calls=[ { "id": f"call_{str(uuid.uuid4())}", - "function": {"name": function_call["name"], "arguments": json.dumps(function_call["arguments"])}, + "function": { + "name": function_call["name"], + "arguments": json.dumps(function_call["arguments"]), + }, "type": "function", } ], @@ -387,7 +402,10 @@ async def ollama_acompletion(url, data, model_response, encoding, logging_obj): model_response["created"] = int(time.time()) model_response["model"] = "ollama/" + data["model"] prompt_tokens = response_json.get("prompt_eval_count", len(encoding.encode(data["prompt"], disallowed_special=()))) # type: ignore - completion_tokens = response_json.get("eval_count", len(response_json.get("message",dict()).get("content", ""))) + completion_tokens = response_json.get( + "eval_count", + len(response_json.get("message", dict()).get("content", "")), + ) model_response["usage"] = litellm.Usage( prompt_tokens=prompt_tokens, completion_tokens=completion_tokens, @@ -475,6 +493,7 @@ async def ollama_aembeddings( } return model_response + def ollama_embeddings( api_base: str, model: str, @@ -492,5 +511,6 @@ def ollama_embeddings( optional_params, logging_obj, model_response, - encoding) + encoding, ) + ) diff --git a/litellm/llms/oobabooga.py b/litellm/llms/oobabooga.py index b166c9069..f8f32e0fe 100644 --- a/litellm/llms/oobabooga.py +++ b/litellm/llms/oobabooga.py @@ -1,7 +1,7 @@ import os import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional from litellm.utils import ModelResponse, Usage diff --git a/litellm/llms/openai.py b/litellm/llms/openai.py index f007507c9..d516334ac 100644 --- a/litellm/llms/openai.py +++ b/litellm/llms/openai.py @@ -22,7 +22,6 @@ from litellm.utils import ( TextCompletionResponse, ) from typing import Callable, Optional -import aiohttp, requests import litellm from .prompt_templates.factory import prompt_factory, custom_prompt from openai import OpenAI, AsyncOpenAI diff --git a/litellm/llms/petals.py b/litellm/llms/petals.py index 25403f598..334b80d38 100644 --- a/litellm/llms/petals.py +++ b/litellm/llms/petals.py @@ -1,7 +1,7 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional import litellm diff --git a/litellm/llms/replicate.py b/litellm/llms/replicate.py index 65052e317..c29728134 100644 --- a/litellm/llms/replicate.py +++ b/litellm/llms/replicate.py @@ -1,11 +1,11 @@ import os, types import json -import requests +import requests # type: ignore import time from typing import Callable, Optional from litellm.utils import ModelResponse, Usage import litellm -import httpx +import httpx # type: ignore from .prompt_templates.factory import prompt_factory, custom_prompt diff --git a/litellm/llms/sagemaker.py b/litellm/llms/sagemaker.py index 27d3ff72a..8e75428bb 100644 --- a/litellm/llms/sagemaker.py +++ b/litellm/llms/sagemaker.py @@ -1,14 +1,14 @@ import os, types, traceback from enum import Enum import json -import requests +import requests # type: ignore import time from typing import Callable, Optional, Any import litellm from litellm.utils import ModelResponse, EmbeddingResponse, get_secret, Usage import sys from copy import deepcopy -import httpx +import httpx # type: ignore from .prompt_templates.factory import prompt_factory, custom_prompt @@ -295,7 +295,7 @@ def completion( EndpointName={model}, InferenceComponentName={model_id}, ContentType="application/json", - Body={data}, + Body={data}, # type: ignore CustomAttributes="accept_eula=true", ) """ # type: ignore @@ -321,7 +321,7 @@ def completion( response = client.invoke_endpoint( EndpointName={model}, ContentType="application/json", - Body={data}, + Body={data}, # type: ignore CustomAttributes="accept_eula=true", ) """ # type: ignore @@ -688,7 +688,7 @@ def embedding( response = client.invoke_endpoint( EndpointName={model}, ContentType="application/json", - Body={data}, + Body={data}, # type: ignore CustomAttributes="accept_eula=true", )""" # type: ignore logging_obj.pre_call( diff --git a/litellm/llms/together_ai.py b/litellm/llms/together_ai.py index 3f9d3b9de..47453ca88 100644 --- a/litellm/llms/together_ai.py +++ b/litellm/llms/together_ai.py @@ -6,11 +6,11 @@ Reference: https://docs.together.ai/docs/openai-api-compatibility import os, types import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional import litellm -import httpx +import httpx # type: ignore from litellm.utils import ModelResponse, Usage from .prompt_templates.factory import prompt_factory, custom_prompt diff --git a/litellm/llms/vertex_ai.py b/litellm/llms/vertex_ai.py index ce0ccc73a..cab7ae19f 100644 --- a/litellm/llms/vertex_ai.py +++ b/litellm/llms/vertex_ai.py @@ -1,12 +1,12 @@ import os, types import json from enum import Enum -import requests +import requests # type: ignore import time from typing import Callable, Optional, Union, List from litellm.utils import ModelResponse, Usage, CustomStreamWrapper, map_finish_reason import litellm, uuid -import httpx, inspect +import httpx, inspect # type: ignore class VertexAIError(Exception): diff --git a/litellm/llms/vertex_ai_anthropic.py b/litellm/llms/vertex_ai_anthropic.py index e73545f99..3bdcf4fd6 100644 --- a/litellm/llms/vertex_ai_anthropic.py +++ b/litellm/llms/vertex_ai_anthropic.py @@ -3,7 +3,7 @@ import os, types import json from enum import Enum -import requests, copy +import requests, copy # type: ignore import time, uuid from typing import Callable, Optional, List from litellm.utils import ModelResponse, Usage, map_finish_reason, CustomStreamWrapper @@ -17,7 +17,7 @@ from .prompt_templates.factory import ( extract_between_tags, parse_xml_params, ) -import httpx +import httpx # type: ignore class VertexAIError(Exception): diff --git a/litellm/llms/vllm.py b/litellm/llms/vllm.py index 15f18cbdc..b2a9dd54d 100644 --- a/litellm/llms/vllm.py +++ b/litellm/llms/vllm.py @@ -1,8 +1,8 @@ import os import json from enum import Enum -import requests -import time, httpx +import requests # type: ignore +import time, httpx # type: ignore from typing import Callable, Any from litellm.utils import ModelResponse, Usage from .prompt_templates.factory import prompt_factory, custom_prompt diff --git a/litellm/llms/watsonx.py b/litellm/llms/watsonx.py index ac38a2a8f..99f2d18ba 100644 --- a/litellm/llms/watsonx.py +++ b/litellm/llms/watsonx.py @@ -3,8 +3,8 @@ import json, types, time # noqa: E401 from contextlib import contextmanager from typing import Callable, Dict, Optional, Any, Union, List -import httpx -import requests +import httpx # type: ignore +import requests # type: ignore import litellm from litellm.utils import ModelResponse, get_secret, Usage diff --git a/litellm/proxy/proxy_cli.py b/litellm/proxy/proxy_cli.py index 41eff1eaf..0d0919e18 100644 --- a/litellm/proxy/proxy_cli.py +++ b/litellm/proxy/proxy_cli.py @@ -252,7 +252,7 @@ def run_server( if model and "ollama" in model and api_base is None: run_ollama_serve() if test_async is True: - import requests, concurrent, time + import requests, concurrent, time # type: ignore api_base = f"http://{host}:{port}" @@ -418,7 +418,7 @@ def run_server( read from there and save it to os.env['DATABASE_URL'] """ try: - import yaml, asyncio + import yaml, asyncio # type: ignore except: raise ImportError( "yaml needs to be imported. Run - `pip install 'litellm[proxy]'`" diff --git a/litellm/proxy/proxy_server.py b/litellm/proxy/proxy_server.py index ce62a7609..53352a4f8 100644 --- a/litellm/proxy/proxy_server.py +++ b/litellm/proxy/proxy_server.py @@ -30,7 +30,7 @@ sys.path.insert( try: import fastapi import backoff - import yaml + import yaml # type: ignore import orjson import logging from apscheduler.schedulers.asyncio import AsyncIOScheduler @@ -3719,6 +3719,7 @@ async def chat_completion( "x-litellm-model-id": model_id, "x-litellm-cache-key": cache_key, "x-litellm-model-api-base": api_base, + "x-litellm-version": version, } selected_data_generator = select_data_generator( response=response, @@ -3734,6 +3735,7 @@ async def chat_completion( fastapi_response.headers["x-litellm-model-id"] = model_id fastapi_response.headers["x-litellm-cache-key"] = cache_key fastapi_response.headers["x-litellm-model-api-base"] = api_base + fastapi_response.headers["x-litellm-version"] = version ### CALL HOOKS ### - modify outgoing data response = await proxy_logging_obj.post_call_success_hook( @@ -3890,14 +3892,10 @@ async def completion( }, ) - if hasattr(response, "_hidden_params"): - model_id = response._hidden_params.get("model_id", None) or "" - original_response = ( - response._hidden_params.get("original_response", None) or "" - ) - else: - model_id = "" - original_response = "" + hidden_params = getattr(response, "_hidden_params", {}) or {} + model_id = hidden_params.get("model_id", None) or "" + cache_key = hidden_params.get("cache_key", None) or "" + api_base = hidden_params.get("api_base", None) or "" verbose_proxy_logger.debug("final response: %s", response) if ( @@ -3905,6 +3903,9 @@ async def completion( ): # use generate_responses to stream responses custom_headers = { "x-litellm-model-id": model_id, + "x-litellm-cache-key": cache_key, + "x-litellm-model-api-base": api_base, + "x-litellm-version": version, } selected_data_generator = select_data_generator( response=response, @@ -3919,6 +3920,10 @@ async def completion( ) fastapi_response.headers["x-litellm-model-id"] = model_id + fastapi_response.headers["x-litellm-cache-key"] = cache_key + fastapi_response.headers["x-litellm-model-api-base"] = api_base + fastapi_response.headers["x-litellm-version"] = version + return response except Exception as e: data["litellm_status"] = "fail" # used for alerting @@ -3958,6 +3963,7 @@ async def completion( ) # azure compatible endpoint async def embeddings( request: Request, + fastapi_response: Response, model: Optional[str] = None, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): @@ -4104,6 +4110,17 @@ async def embeddings( ### ALERTING ### data["litellm_status"] = "success" # used for alerting + ### RESPONSE HEADERS ### + hidden_params = getattr(response, "_hidden_params", {}) or {} + model_id = hidden_params.get("model_id", None) or "" + cache_key = hidden_params.get("cache_key", None) or "" + api_base = hidden_params.get("api_base", None) or "" + + fastapi_response.headers["x-litellm-model-id"] = model_id + fastapi_response.headers["x-litellm-cache-key"] = cache_key + fastapi_response.headers["x-litellm-model-api-base"] = api_base + fastapi_response.headers["x-litellm-version"] = version + return response except Exception as e: data["litellm_status"] = "fail" # used for alerting @@ -4142,6 +4159,7 @@ async def embeddings( ) async def image_generation( request: Request, + fastapi_response: Response, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): global proxy_logging_obj @@ -4261,6 +4279,17 @@ async def image_generation( ### ALERTING ### data["litellm_status"] = "success" # used for alerting + ### RESPONSE HEADERS ### + hidden_params = getattr(response, "_hidden_params", {}) or {} + model_id = hidden_params.get("model_id", None) or "" + cache_key = hidden_params.get("cache_key", None) or "" + api_base = hidden_params.get("api_base", None) or "" + + fastapi_response.headers["x-litellm-model-id"] = model_id + fastapi_response.headers["x-litellm-cache-key"] = cache_key + fastapi_response.headers["x-litellm-model-api-base"] = api_base + fastapi_response.headers["x-litellm-version"] = version + return response except Exception as e: data["litellm_status"] = "fail" # used for alerting @@ -4297,6 +4326,7 @@ async def image_generation( ) async def audio_transcriptions( request: Request, + fastapi_response: Response, file: UploadFile = File(...), user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): @@ -4441,6 +4471,18 @@ async def audio_transcriptions( ### ALERTING ### data["litellm_status"] = "success" # used for alerting + + ### RESPONSE HEADERS ### + hidden_params = getattr(response, "_hidden_params", {}) or {} + model_id = hidden_params.get("model_id", None) or "" + cache_key = hidden_params.get("cache_key", None) or "" + api_base = hidden_params.get("api_base", None) or "" + + fastapi_response.headers["x-litellm-model-id"] = model_id + fastapi_response.headers["x-litellm-cache-key"] = cache_key + fastapi_response.headers["x-litellm-model-api-base"] = api_base + fastapi_response.headers["x-litellm-version"] = version + return response except Exception as e: data["litellm_status"] = "fail" # used for alerting @@ -4480,6 +4522,7 @@ async def audio_transcriptions( ) async def moderations( request: Request, + fastapi_response: Response, user_api_key_dict: UserAPIKeyAuth = Depends(user_api_key_auth), ): """ @@ -4604,6 +4647,17 @@ async def moderations( ### ALERTING ### data["litellm_status"] = "success" # used for alerting + ### RESPONSE HEADERS ### + hidden_params = getattr(response, "_hidden_params", {}) or {} + model_id = hidden_params.get("model_id", None) or "" + cache_key = hidden_params.get("cache_key", None) or "" + api_base = hidden_params.get("api_base", None) or "" + + fastapi_response.headers["x-litellm-model-id"] = model_id + fastapi_response.headers["x-litellm-cache-key"] = cache_key + fastapi_response.headers["x-litellm-model-api-base"] = api_base + fastapi_response.headers["x-litellm-version"] = version + return response except Exception as e: data["litellm_status"] = "fail" # used for alerting diff --git a/litellm/proxy/utils.py b/litellm/proxy/utils.py index 0379d5152..e4fa73307 100644 --- a/litellm/proxy/utils.py +++ b/litellm/proxy/utils.py @@ -1689,12 +1689,12 @@ def get_instance_fn(value: str, config_file_path: Optional[str] = None) -> Any: module_file_path = os.path.join(directory, *module_name.split(".")) module_file_path += ".py" - spec = importlib.util.spec_from_file_location(module_name, module_file_path) + spec = importlib.util.spec_from_file_location(module_name, module_file_path) # type: ignore if spec is None: raise ImportError( f"Could not find a module specification for {module_file_path}" ) - module = importlib.util.module_from_spec(spec) + module = importlib.util.module_from_spec(spec) # type: ignore spec.loader.exec_module(module) # type: ignore else: # Dynamically import the module diff --git a/litellm/router_strategy/least_busy.py b/litellm/router_strategy/least_busy.py index 68874cec4..54d44b41d 100644 --- a/litellm/router_strategy/least_busy.py +++ b/litellm/router_strategy/least_busy.py @@ -6,7 +6,7 @@ # - use litellm.success + failure callbacks to log when a request completed # - in get_available_deployment, for a given model group name -> pick based on traffic -import dotenv, os, requests, random +import dotenv, os, requests, random # type: ignore from typing import Optional dotenv.load_dotenv() # Loading env variables using dotenv diff --git a/litellm/router_strategy/lowest_cost.py b/litellm/router_strategy/lowest_cost.py index 2d010fb4f..279af2ae9 100644 --- a/litellm/router_strategy/lowest_cost.py +++ b/litellm/router_strategy/lowest_cost.py @@ -1,7 +1,7 @@ #### What this does #### # picks based on response time (for streaming, this is time to first token) from pydantic import BaseModel, Extra, Field, root_validator -import dotenv, os, requests, random +import dotenv, os, requests, random # type: ignore from typing import Optional, Union, List, Dict from datetime import datetime, timedelta import random diff --git a/litellm/router_strategy/lowest_latency.py b/litellm/router_strategy/lowest_latency.py index 5f0f15aac..afdfc1779 100644 --- a/litellm/router_strategy/lowest_latency.py +++ b/litellm/router_strategy/lowest_latency.py @@ -1,7 +1,7 @@ #### What this does #### # picks based on response time (for streaming, this is time to first token) -from pydantic import BaseModel, Extra, Field, root_validator -import dotenv, os, requests, random +from pydantic import BaseModel, Extra, Field, root_validator # type: ignore +import dotenv, os, requests, random # type: ignore from typing import Optional, Union, List, Dict from datetime import datetime, timedelta import random diff --git a/litellm/utils.py b/litellm/utils.py index 88e395233..8136b8777 100644 --- a/litellm/utils.py +++ b/litellm/utils.py @@ -14,7 +14,7 @@ import subprocess, os from os.path import abspath, join, dirname import litellm, openai import itertools -import random, uuid, requests +import random, uuid, requests # type: ignore from functools import wraps import datetime, time import tiktoken @@ -36,7 +36,7 @@ import litellm._service_logger # for storing API inputs, outputs, and metadata try: # this works in python 3.8 - import pkg_resources + import pkg_resources # type: ignore filename = pkg_resources.resource_filename(__name__, "llms/tokenizers") # try: @@ -7732,11 +7732,11 @@ def _calculate_retry_after( try: retry_after = int(retry_header) except Exception: - retry_date_tuple = email.utils.parsedate_tz(retry_header) + retry_date_tuple = email.utils.parsedate_tz(retry_header) # type: ignore if retry_date_tuple is None: retry_after = -1 else: - retry_date = email.utils.mktime_tz(retry_date_tuple) + retry_date = email.utils.mktime_tz(retry_date_tuple) # type: ignore retry_after = int(retry_date - time.time()) else: retry_after = -1 @@ -9423,7 +9423,9 @@ def get_secret( else: secret = os.environ.get(secret_name) try: - secret_value_as_bool = ast.literal_eval(secret) if secret is not None else None + secret_value_as_bool = ( + ast.literal_eval(secret) if secret is not None else None + ) if isinstance(secret_value_as_bool, bool): return secret_value_as_bool else: