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Author:
Yashvardhan Thanvi
Summary:
Context compression and planning for RAG and AI agents: fit retrieved documents, chat history and tool output into a token budget.
Latest version:
0.10.0
Required dependencies:
jsonschema
|
numpy
|
scikit-learn
Optional dependencies:
build
|
gptme
|
haystack-ai
|
httpx
|
httpx2
|
langchain-core
|
llama-index-core
|
mcp
|
mypy
|
neo4j
|
nltk
|
openai-agents
|
pydantic-ai-slim
|
pymongo
|
pytest
|
pytest-cov
|
pyyaml
|
ruff
|
sarvamai
|
sentence-transformers
|
starlette
|
tiktoken
|
torch
|
transformers
|
uvicorn
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