Skip to content

Latest commit

 

History

History

Folders and files

NameName
Last commit message
Last commit date

parent directory

..
 
 
 
 
 
 
 
 

README.md

sie-crewai

SIE integration for CrewAI.

Installation

pip install sie-crewai

Usage

Embeddings (via OpenAI-compatible API)

SIE provides an OpenAI-compatible /v1/embeddings endpoint, so you can use it directly with CrewAI's OpenAI provider:

from crewai import Crew, Agent, Task

crew = Crew(
    agents=[...],
    tasks=[...],
    memory=True,
    embedder={
        "provider": "openai",
        "config": {
            "model": "BAAI/bge-m3",
            "api_base": "http://localhost:8080/v1",
            "api_key": "not-needed",  # SIE doesn't require API key
        }
    }
)

Reranker Tool

Use SIERerankerTool to rerank documents in agent workflows:

from sie_crewai import SIERerankerTool

reranker = SIERerankerTool(
    base_url="http://localhost:8080",
    model="jinaai/jina-reranker-v2-base-multilingual",
)

agent = Agent(
    role="Research Analyst",
    tools=[reranker],
    ...
)

Extractor Tool

Use SIEExtractorTool to extract entities from text:

from sie_crewai import SIEExtractorTool

extractor = SIEExtractorTool(
    base_url="http://localhost:8080",
    model="urchade/gliner_multi-v2.1",
    labels=["person", "organization", "location"],
)

agent = Agent(
    role="Information Extractor",
    tools=[extractor],
    ...
)