Merge branch 'main' into litellm_bedrock_anthropic_fix

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Krish Dholakia 2024-05-17 17:47:32 -07:00 committed by GitHub
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12 changed files with 155 additions and 14 deletions

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@ -71,6 +71,23 @@ response = litellm.completion(
)
print(response)
```
### Make LiteLLM Proxy use Custom `LANGSMITH_BASE_URL`
If you're using a custom LangSmith instance, you can set the
`LANGSMITH_BASE_URL` environment variable to point to your instance.
For example, you can make LiteLLM Proxy log to a local LangSmith instance with
this config:
```yaml
litellm_settings:
success_callback: ["langsmith"]
environment_variables:
LANGSMITH_BASE_URL: "http://localhost:1984"
LANGSMITH_PROJECT: "litellm-proxy"
```
## Support & Talk to Founders
- [Schedule Demo 👋](https://calendly.com/d/4mp-gd3-k5k/berriai-1-1-onboarding-litellm-hosted-version)

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@ -232,7 +232,6 @@ response = completion(
model="anthropic/claude-3-opus-20240229",
messages=messages,
tools=tools,
extra_headers={"anthropic-beta": "tools-2024-05-16"},
)
```
@ -247,7 +246,6 @@ response = completion(
messages=messages,
tools=tools,
tool_choice={"type": "tool", "name": "get_weather"},
extra_headers={"anthropic-beta": "tools-2024-05-16"},
)
```

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@ -1,7 +1,8 @@
import Image from '@theme/IdealImage';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
# ✨ Enterprise Features - Content Mod, SSO
# ✨ Enterprise Features - Content Mod, SSO, Custom Swagger
Features here are behind a commercial license in our `/enterprise` folder. [**See Code**](https://github.com/BerriAI/litellm/tree/main/enterprise)
@ -20,6 +21,7 @@ Features:
- ✅ Reject calls (incoming / outgoing) with Banned Keywords (e.g. competitors)
- ✅ Don't log/store specific requests to Langfuse, Sentry, etc. (eg confidential LLM requests)
- ✅ Tracking Spend for Custom Tags
- ✅ Custom Branding + Routes on Swagger Docs
@ -527,3 +529,38 @@ curl -X GET "http://0.0.0.0:4000/spend/tags" \
<!-- ## Tracking Spend per Key
## Tracking Spend per User -->
## Swagger Docs - Custom Routes + Branding
:::info
Requires a LiteLLM Enterprise key to use. Request one [here](https://calendly.com/d/4mp-gd3-k5k/litellm-1-1-onboarding-chat)
:::
Set LiteLLM Key in your environment
```bash
LITELLM_LICENSE=""
```
### Customize Title + Description
In your environment, set:
```bash
DOCS_TITLE="TotalGPT"
DOCS_DESCRIPTION="Sample Company Description"
```
### Customize Routes
Hide admin routes from users.
In your environment, set:
```bash
DOCS_FILTERED="True" # only shows openai routes to user
```
<Image img={require('../../img/custom_swagger.png')} style={{ width: '900px', height: 'auto' }} />

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@ -44,6 +44,8 @@ class LangsmithLogger:
print_verbose(
f"Langsmith Logging - project_name: {project_name}, run_name {run_name}"
)
langsmith_base_url = os.getenv("LANGSMITH_BASE_URL", "https://api.smith.langchain.com")
try:
print_verbose(
f"Langsmith Logging - Enters logging function for model {kwargs}"
@ -86,8 +88,12 @@ class LangsmithLogger:
"end_time": end_time,
}
url = f"{langsmith_base_url}/runs"
print_verbose(
f"Langsmith Logging - About to send data to {url} ..."
)
response = requests.post(
"https://api.smith.langchain.com/runs",
url=url,
json=data,
headers={"x-api-key": self.langsmith_api_key},
)

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@ -507,7 +507,7 @@ class AnthropicChatCompletion(BaseLLM):
_is_function_call = True
if "anthropic-beta" not in headers:
# default to v1 of "anthropic-beta"
headers["anthropic-beta"] = "tools-2024-04-04"
headers["anthropic-beta"] = "tools-2024-05-16"
anthropic_tools = []
for tool in optional_params["tools"]:

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@ -87,10 +87,10 @@ class LiteLLMRoutes(enum.Enum):
# models
"/models",
"/v1/models",
# token counter
"/utils/token_counter",
]
llm_utils_routes: List = ["utils/token_counter"]
info_routes: List = [
"/key/info",
"/team/info",

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@ -0,0 +1,42 @@
# What is this?
## If litellm license in env, checks if it's valid
import os
from litellm.llms.custom_httpx.http_handler import HTTPHandler
class LicenseCheck:
"""
- Check if license in env
- Returns if license is valid
"""
base_url = "https://license.litellm.ai"
def __init__(self) -> None:
self.license_str = os.getenv("LITELLM_LICENSE", None)
self.http_handler = HTTPHandler()
def _verify(self, license_str: str) -> bool:
url = "{}/verify_license/{}".format(self.base_url, license_str)
try: # don't impact user, if call fails
response = self.http_handler.get(url=url)
response.raise_for_status()
response_json = response.json()
premium = response_json["verify"]
assert isinstance(premium, bool)
return premium
except Exception as e:
return False
def is_premium(self) -> bool:
if self.license_str is None:
return False
elif self._verify(license_str=self.license_str):
return True
return False

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@ -110,6 +110,7 @@ from litellm.router import LiteLLM_Params, Deployment, updateDeployment
from litellm.router import ModelInfo as RouterModelInfo
from litellm._logging import verbose_router_logger, verbose_proxy_logger
from litellm.proxy.auth.handle_jwt import JWTHandler
from litellm.proxy.auth.litellm_license import LicenseCheck
from litellm.proxy.hooks.prompt_injection_detection import (
_OPTIONAL_PromptInjectionDetection,
)
@ -150,6 +151,7 @@ from fastapi.responses import (
ORJSONResponse,
JSONResponse,
)
from fastapi.openapi.utils import get_openapi
from fastapi.responses import RedirectResponse
from fastapi.middleware.cors import CORSMiddleware
from fastapi.staticfiles import StaticFiles
@ -169,17 +171,30 @@ except Exception as e:
except Exception as e:
pass
_license_check = LicenseCheck()
premium_user: bool = _license_check.is_premium()
ui_link = f"/ui/"
ui_message = (
f"👉 [```LiteLLM Admin Panel on /ui```]({ui_link}). Create, Edit Keys with SSO"
)
### CUSTOM BRANDING [ENTERPRISE FEATURE] ###
_docs_url = None if os.getenv("NO_DOCS", "False") == "True" else "/"
_title = os.getenv("DOCS_TITLE", "LiteLLM API") if premium_user else "LiteLLM API"
_description = (
os.getenv(
"DOCS_DESCRIPTION",
f"Proxy Server to call 100+ LLMs in the OpenAI format\n\n{ui_message}",
)
if premium_user
else f"Proxy Server to call 100+ LLMs in the OpenAI format\n\n{ui_message}"
)
app = FastAPI(
docs_url=_docs_url,
title="LiteLLM API",
description=f"Proxy Server to call 100+ LLMs in the OpenAI format\n\n{ui_message}",
title=_title,
description=_description,
version=version,
root_path=os.environ.get(
"SERVER_ROOT_PATH", ""
@ -187,6 +202,31 @@ app = FastAPI(
)
### CUSTOM API DOCS [ENTERPRISE FEATURE] ###
# Custom OpenAPI schema generator to include only selected routes
def custom_openapi():
if app.openapi_schema:
return app.openapi_schema
openapi_schema = get_openapi(
title=app.title,
version=app.version,
description=app.description,
routes=app.routes,
)
# Filter routes to include only specific ones
openai_routes = LiteLLMRoutes.openai_routes.value
paths_to_include: dict = {}
for route in openai_routes:
paths_to_include[route] = openapi_schema["paths"][route]
openapi_schema["paths"] = paths_to_include
app.openapi_schema = openapi_schema
return app.openapi_schema
if os.getenv("DOCS_FILTERED", "False") == "True" and premium_user:
app.openapi = custom_openapi # type: ignore
class ProxyException(Exception):
# NOTE: DO NOT MODIFY THIS
# This is used to map exactly to OPENAI Exceptions

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@ -3032,7 +3032,6 @@ def test_mistral_anyscale_stream():
print(chunk["choices"][0]["delta"].get("content", ""), end="")
# test_mistral_anyscale_stream()
# test_completion_anyscale_2()
# def test_completion_with_fallbacks_multiple_keys():
# print(f"backup key 1: {os.getenv('BACKUP_OPENAI_API_KEY_1')}")

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@ -5122,7 +5122,7 @@ def get_optional_params(
or "tools" in non_default_params
):
if (
custom_llm_provider != "openai"
custom_llm_provider == "ollama"
and custom_llm_provider != "text-completion-openai"
and custom_llm_provider != "azure"
and custom_llm_provider != "vertex_ai"
@ -5136,6 +5136,8 @@ def get_optional_params(
and custom_llm_provider != "cohere"
and custom_llm_provider != "bedrock"
and custom_llm_provider != "ollama_chat"
and custom_llm_provider != "openrouter"
and custom_llm_provider not in litellm.openai_compatible_providers
):
if custom_llm_provider == "ollama":
# ollama actually supports json output

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@ -1,6 +1,6 @@
[tool.poetry]
name = "litellm"
version = "1.37.13"
version = "1.37.15"
description = "Library to easily interface with LLM API providers"
authors = ["BerriAI"]
license = "MIT"
@ -79,7 +79,7 @@ requires = ["poetry-core", "wheel"]
build-backend = "poetry.core.masonry.api"
[tool.commitizen]
version = "1.37.13"
version = "1.37.15"
version_files = [
"pyproject.toml:^version"
]