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Pipelex v0.18.0 "Chicago"

The AI workflow framework that just works.

A Major Milestone

Three months after our first public launch in San Francisco, Pipelex reaches a new level of maturity with the "Chicago" release (currently in beta-test). This version delivers on our core promise: enabling every developer to build AI workflows that are reliable, flexible, and production-ready.

Version 0.18.0 represents our most significant release to date, addressing the three priorities that emerged from real-world usage:

  • Universal model access — one API key for all leading AI models
  • State-of-the-art document extraction — deployable anywhere
  • Visual pipeline inspection — full transparency into your workflows

What's New

Pipelex Gateway

A fully managed infrastructure providing unified access to AI models through a single API key. Built on enterprise-grade architecture, the Gateway:

  • Fetches model configurations remotely — always access the latest models without updating Pipelex
  • Supports an extensive catalog of models from OpenAI, Google, Anthropic, Mistral, and more
  • Includes the latest image generation capabilities: GPT-Image-1.5, Nano Banana, Nano Banana Pro, and Flux-2-pro

Join the waitlist to get early access to the Gateway.

Full Model Catalog

Browse all supported models in our Gateway Models documentation.

Document Extraction

Four powerful extraction options to fit any use case:

Provider Description
Azure Document Intelligence Enterprise-grade OCR with high accuracy for complex layouts, tables, and handwriting
docling IBM's open-source extraction library with local CPU processing and optional GPU acceleration
Mistral OCR Industry-leading document understanding for media, text, tables, and equations
Deepseek-OCR Open-source model optimized for markdown extraction from images

Documents in LLM Prompts — Include PDFs directly in your prompts using @variable syntax. Single documents, multiple documents, mixed with text and images.

Execution Graph Visualization

Full transparency into pipeline execution:

  • Interactive HTML visualization — Inspect any pipeline with a local ReactFlow-based interface
  • Mermaid chart export — Render pipeline diagrams anywhere: VS Code, GitHub, web applications
  • Step-by-step data inspection — View JSON, HTML preview, images, and embedded PDFs at each execution stage

Execution Graph Example

Additional Capabilities

Telemetry & Observability

Production-ready monitoring with Langfuse and OpenTelemetry integration.

Open-Source Model Support

Broad support for open-source AI:

  • Hugging Face Inference — including qwen-image for text-to-image
  • Scaleway — Deepseek R1, Llama 3.3, Qwen3, GPT-OSS
  • Groq — Llama-4, Kimi-K2-Instruct
  • Via the Pipelex Gateway — Phi-4, Kimi-K2-Thinking, Mistral-Large-3, Deepseek-OCR

Developer Experience

  • Pydantic Structure Generation — Convert Pipelex's declarative structured concepts into Python code with full IDE autocomplete, type checking, and validation
  • PipeCompose Construct Mode — Build StructuredContent objects deterministically without an LLM, composing outputs from working memory variables, fixed values, templates, and nested structures
  • Cloud Storage for Artifacts — Store generated images and extracted pages on AWS S3 or Google Cloud Storage with public or signed URLs
  • Python 3.14 Support

Getting Started

pip install pipelex

Then run pipelex init to configure your environment and obtain your Gateway API key at app.pipelex.com.

Documentation

Explore our comprehensive guides at docs.pipelex.com

Why Pipelex

Pipelex eliminates the complexity of building AI-powered applications. Instead of managing multiple SDKs, API configurations, and infrastructure concerns, developers focus on what matters: their application logic.

  • One framework for prompts, pipelines, and structured outputs
  • One API key for dozens of AI models
  • One workflow from prototype to production

Ready to build AI workflows that just work?

Join the Waitlist Documentation