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Public documentation

Guides and APIs of the CodeflowX platform to build AI‑First solutions in a governed and measurable way.

This documentation evolves with the product.

Check the roadmap to see upcoming changes.

Introduction

  • Platform overview
  • Main components and workflow
  • Deployment models (self‑hosted / cloud)

Tip: start with an 80/20 pilot to validate value.

Getting started

  1. Create your space and set up credentials
  2. Connect your data sources (RAG)
  3. Deploy a basic agent/copilot
  4. Enable metrics and evaluation
QuickstartExamples

API Core

REST API for agents, RAG and evaluation orchestration

  • POST /agents: create/update agents
  • POST /rag/index: index documents
  • POST /eval/run: run tests

All APIs require token authentication.

Authentication

  • Header Authorization: Bearer <TOKEN>
  • Environment tokens (dev, prod)
  • Role-based permissions (admin/ops/reader)

SDKs

  • JavaScript/TypeScript
  • Python
  • Integration examples with Next.js

Examples

  • Support copilot with RAG
  • Prompt and regression evaluation
  • BPMN agent with human tasks

Compatibility

  • OpenAI, Anthropic, Cohere, Mistral
  • Ollama, vLLM, SGLang (self‑hosted)
  • Vector DB: Qdrant, Milvus, PGVector
Supported stack →

Modules

  • Platform → Overview — See platform
  • RAG → Indexing and query — RAG Guide
  • Agents → Orchestration and flows — Agents
  • Governance → Metrics and evaluation — Governance

Changelog

  • 2025‑09: standalone mode and optimized build
  • 2025‑08: new evaluation APIs
View changelog →

Support

  • Enterprise support and SLAs
  • Community and FAQs
ContactPartners