A tool for building Structured Agentic Pipelines
Project description
Domain Specific Language - Structured Pipeline Agent
DSL-SPA is an open-source Python library for connecting LLM Agents to ETL and other common tasks. With this tool, you can connect LLM Agents to complex Data Pipelines.
Key Features of DSL-SPA
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Building SQL Queries - construct sql queries from fields extracted by Agents
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Applying Data Transformations - selectively apply data transformations based on Agent instructions
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Generating Unstructured Text Summaries - generate summaries of query results and data transformations
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Generating Visualizations - generate vega-lite visualizations of query results and data transformations
For some examples of what you can do with dsl-spa sdk check out the streamlit demo.
Getting Started
Get started with dsl-spa by installing the Python library via pip
pip install dsl-spa
A standard pipeline can be imported with
from dsl_spa.pipeline.pipeline import StandardPipeline
For more details on constructing a pipeline, reference Building a Pipeline.
For more details on the flow of Semantic Caching using DSL-SPA, refer to Semantic Cache Flow
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