Integrations
Connect real implementation workflows into Neurovn using CLI ingestion, runtime decorators, and framework-specific integration patterns that end in the same canvas editor.
Start here if you are asking “how does my code get into Neurovn?”
Code to Canvas
Understand the real flow: local run, backend trace session, remote canvas creation, then open the editor.
How to choose an integration path
Existing workflow JSON
Use the CLI path to estimate and persist a remote canvas without touching runtime code.
Python runtime already exists
Use decorators around agent/tool functions for runtime-observed traces that are posted to Neurovn on completion.
Framework-specific apps
Pick OpenAI, LangGraph, LangChain, Google ADK, FastAPI, or CrewAI guides below after you understand the code-to-canvas capture path.
Integration Guides
Code to Canvas
Understand the actual Neurovn code-to-canvas path: your workflow runs locally, Neurovn derives nodes and edges, the backend persists a remote canvas, and you open that canvas in the editor.
CLI Integration
Install `neurovn` from PyPI and emit trace sessions directly from workflow JSON files using the Neurovn CLI, then hydrate canvases through the backend trace APIs.
Decorator Integration
Install `neurovn` from PyPI and instrument Python sync/async functions with `trace.agent` and `trace.tool` decorators to emit runtime traces without changing business logic.
OpenAI Integration
Use decorators around OpenAI-backed agent/tool functions and feed traces into Neurovn for model mix, cost, and latency analysis.
LangGraph Integration
Map planner, tool, and synthesis steps to decorated functions so LangGraph execution can be visualized and estimated in Neurovn.
LangChain Integration
Instrument LangChain tool-calling workflows with decorators around chain entrypoints and tool handlers to generate comparable estimate traces.
Google ADK Integration
Track Google ADK agent and tool execution paths with decorators and submit structured trace sessions into Neurovn.
FastAPI Integration
Use decorators inside FastAPI services to capture runtime traces from API-triggered agent workflows and push sessions to Neurovn.
CrewAI Integration
Capture role-based CrewAI task orchestration as trace sessions to compare team-of-agents cost/latency tradeoffs in Neurovn.