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pipelines IA

  • Pipe Pilot is a Python framework that orchestrates LLM-driven agent pipelines, enabling complex multi-step AI workflows with ease.
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    What is Pipe Pilot?
    Pipe Pilot is an open-source tool that lets developers build, visualize, and manage AI-driven pipelines in Python. It offers a declarative API or YAML configuration to chain tasks such as text generation, classification, data enrichment, and REST API calls. Users can implement conditional branches, loops, retries, and error handlers to create resilient workflows. Pipe Pilot maintains execution context, logs each step, and supports parallel or sequential execution modes. It integrates with major LLM providers, custom functions, and external services, making it ideal for automating reports, chatbots, intelligent data processing, and complex multi-stage AI applications.
    Pipe Pilot Core Features
    • Declarative pipeline definition (Python/YAML)
    • LLM task orchestration with OpenAI and Hugging Face
    • Conditional branching, loops, and retries
    • Built-in error handling and logging
    • Context management across steps
    • Parallel and sequential execution modes
    • Plugin architecture for custom functions
    • Integration with REST APIs and databases
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