litellm/requirements.txt
Krish Dholakia de4f32762a
v1.73.6.rc (#12146)
* fix - using on python 3.9

* [⚡️ Python SDK Import] - 2 second faster import times (#12135)

* speedup - move wb logger to conditional

* fix import path

* docs(index.md): initial pre-release note

* 🧹 Refactor init.py to use a model registry (#12138)

* fix - refactor init to use a registry

* # noqa: PLR0915

* fix import loc

* test whitelisted models

* Revert "🧹 Refactor init.py to use a model registry (#12138)" (#12141)

This reverts commit f93326a214.

* [⚡️ Python SDK import] - reduce python sdk import time by .3s  (#12140)

* use 1 file for KeyManagementSystem

* move key management settings

* fix import locs

* test_proxy_types_not_imported

* test the import loc

* fix import item

* fix imports

* fix import loc

* fix imports

* fix imports

* fix - revert list team changes

* fix for o-series param checks

* bump poetry

* docs(index.md): update release note with cleaner table for updated models

* `/v1/messages` - Remove hardcoded model name on streaming + Tags - enable setting custom header tags (#12131)

* fix(anthropic/experimental_pass_through): use given model name when returning streaming chunks

don't harcode model name on streaming

confusing for user

* fix(anthropic/streaming_iterator.py): remove scope of import

* feat(litellm_logging.py): allow admin to specify additional headers for using as spend tags

Closes https://github.com/BerriAI/litellm/issues/12129

* test(test_litellm_logging.py): add unit tests

* feat(openweb_ui.md): add custom tag tutorial to docs

* docs(cost_tracking.md): add tag based usage UI screenshot

* test: update test

* fix: fix import

* docs - update release notes

* Benefits of using gemini-cli with LiteLLM

* UI QA Fixes - prevent team model reset on model add + return team-only models on /v2/model/info + render team member budget correctly (#12144)

* fix(team_endpoints.py): prevent overwriting current list of team models on new model add

* fix(networking.tsx): fix default proxy base url

* fix(proxy_server.py): include team only models when retrieving all deployments on `/v2/model/info` helper util

ensures team only models are shown to user

* fix(router.py): check model name by team public model name when team id given

Fixes issue where team member could not see team only models when clicking into that team on `Models + Endpoints`

* fix(team_member_view.tsx): fix rendering team member budget, when budget is set

* test: update tests

* test: update unit test

* docs gemini cli x litellm

* docs: index.md

release note cleanup

* docs(index.md): add more hyperlinks to docs

* docs(index.md): add batch api cost tracking to docs

* docs(index.md): update docs

* VertexAI Anthropic - streaming cost tracking w/ prompt caching fixes (#12188)

* fix(rebuild-usage-object---ensure-cache_tokens-is-set): Ensures cache tokens is correctly set

Fixes https://github.com/BerriAI/litellm/issues/12149

* test(test_stream_chunk_builder_utils.py): add unit test to ensure cached tokens is part of stream chunk builder

Ensures standardized values are used

* Fix rendering ui on non-root images (#12226)

* fix(proxy_server.py): only rewrite server_root_path if path set

Fixes UI rendering issue on non-root images

* docs(custom_root_ui.md): clarify custom root path doesn't work on non-root images

* build(pyproject.toml): version rc2

* fix(streaming_handler.py): store finish reason, even if is_finished is false - allows storing early gemini finish reasons (#12250)

Fixes https://github.com/BerriAI/litellm/issues/12249

---------

Co-authored-by: Ishaan Jaff <ishaanjaffer0324@gmail.com>
2025-07-02 20:39:38 -07:00

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# LITELLM PROXY DEPENDENCIES #
anyio==4.8.0 # openai + http req.
httpx==0.28.1
openai==1.81.0 # openai req.
fastapi==0.115.5 # server dep
backoff==2.2.1 # server dep
pyyaml==6.0.2 # server dep
uvicorn==0.29.0 # server dep
gunicorn==23.0.0 # server dep
uvloop==0.21.0 # uvicorn dep, gives us much better performance under load
boto3==1.34.34 # aws bedrock/sagemaker calls
redis==5.2.1 # redis caching
prisma==0.11.0 # for db
mangum==0.17.0 # for aws lambda functions
pynacl==1.5.0 # for encrypting keys
google-cloud-aiplatform==1.47.0 # for vertex ai calls
google-genai==1.22.0
anthropic[vertex]==0.54.0
mcp==1.9.3 # for MCP server
google-generativeai==0.5.0 # for vertex ai calls
async_generator==1.10.0 # for async ollama calls
langfuse==2.45.0 # for langfuse self-hosted logging
prometheus_client==0.20.0 # for /metrics endpoint on proxy
ddtrace==2.19.0 # for advanced DD tracing / profiling
orjson==3.10.12 # fast /embedding responses
apscheduler==3.10.4 # for resetting budget in background
fastapi-sso==0.16.0 # admin UI, SSO
pyjwt[crypto]==2.9.0
python-multipart==0.0.18 # admin UI
Pillow==11.0.0
azure-ai-contentsafety==1.0.0 # for azure content safety
azure-identity==1.16.1 # for azure content safety
azure-storage-file-datalake==12.20.0 # for azure buck storage logging
opentelemetry-api==1.25.0
opentelemetry-sdk==1.25.0
opentelemetry-exporter-otlp==1.25.0
sentry_sdk==2.21.0 # for sentry error handling
detect-secrets==1.5.0 # Enterprise - secret detection / masking in LLM requests
cryptography==43.0.1
tzdata==2025.1 # IANA time zone database
litellm-proxy-extras==0.2.6 # for proxy extras - e.g. prisma migrations
### LITELLM PACKAGE DEPENDENCIES
python-dotenv==1.0.0 # for env
tiktoken==0.8.0 # for calculating usage
importlib-metadata==6.8.0 # for random utils
tokenizers==0.20.2 # for calculating usage
click==8.1.7 # for proxy cli
rich==13.7.1 # for litellm proxy cli
jinja2==3.1.6 # for prompt templates
aiohttp==3.10.2 # for network calls
aioboto3==12.3.0 # for async sagemaker calls
tenacity==8.2.3 # for retrying requests, when litellm.num_retries set
pydantic==2.10.2 # proxy + openai req.
jsonschema==4.22.0 # validating json schema
websockets==13.1.0 # for realtime API
########################
# LITELLM ENTERPRISE DEPENDENCIES
########################
litellm-enterprise==0.1.10