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Author:
Headroom Contributors
Summary:
The Context Optimization Layer for LLM Applications - Cut costs by 50-90%
Latest version:
0.41.0
Required dependencies:
ast-grep-cli
|
click
|
litellm
|
opentelemetry-api
|
pydantic
|
pyyaml
|
rich
|
tiktoken
|
tomli
|
tomlkit
|
truststore
Optional dependencies:
accelerate
|
agno
|
anthropic
|
any-llm-sdk
|
autogen-agentchat
|
boto3
|
botocore
|
cryptography
|
datasets
|
fastapi
|
fastembed
|
gunicorn
|
headroom-ai
|
hnswlib
|
httpx
|
huggingface-hub
|
jinja2
|
langchain-core
|
langchain-ollama
|
langchain-openai
|
langgraph
|
litellm
|
magika
|
mcp
|
mem0ai
|
mypy
|
neo4j
|
numpy
|
ollama
|
onnxruntime
|
openai
|
openpyxl
|
opentelemetry-exporter-otlp-proto-http
|
opentelemetry-sdk
|
orjson
|
pillow
|
pre-commit
|
pytest
|
pytest-asyncio
|
pytest-cov
|
qdrant-client
|
rapidocr
|
rapidocr-onnxruntime
|
respx
|
ruff
|
scikit-learn
|
sentence-transformers
|
sentencepiece
|
sqlite-vec
|
starlette
|
strands-agents
|
torch
|
trafilatura
|
transformers
|
tree-sitter
|
tree-sitter-language-pack
|
uvicorn
|
watchdog
|
websockets
|
xlrd
|
xlwt
|
zstandard
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