See inside any AI workflow before the bill surprises you.
Add tracing to LangGraph, CrewAI, OpenAI, A2A, or your own stack, then inspect the full pipeline on a visual canvas with cost, latency, and bottleneck breakdowns.
/ run
latency
grade
Start
Trigger
Research
GPT-4o
Search
Tool call
Finish
Report
Start
Trigger
Research
GPT-4o
Search
Tool call
Finish
Report
Preview the workflow estimate on mobile, or use the live playground on desktop.
Visible Output
The report developers actually care about
Health grade, cost blame, and per-node spend should be visible before anyone opens the full editor.
Health Grade
A-
$0.043
Per workflow run
18,240
Prompt + response
2.8s
Critical path
Cost Breakdown
Per nodeResearch Agent
GPT-4o
$0.031
72% of total
Search Tool
HTTP Tool
$0.002
5% of total
Synthesizer
Claude 4 Sonnet
$0.010
23% of total
Research Agent is driving most of the spend.
GPT-4o handles the longest branch and accounts for 72% of total cost. Switching that node to Claude 4 Sonnet or GPT-4o mini is the fastest savings lever.
What to do next
Save the workflow for your team.
Export the graph as LangGraph code.
Share the estimate with engineering or product.
Models
Providers
Node Types
Estimator (typical)
Neurovn is an indie, open-source workflow canvas focused on making AI system cost and latency visible before teams ship.
Need a stakeholder-ready budget view?
Open a pre-populated cost projection page for PM and finance reviews.
Agentic AI is booming.
But nobody knows what it costs.
Millions of multi-agent workflows ship every day across GPT-4o, Claude, Gemini, and dozens more models. Understanding the real cost, latency, and bottlenecks? Still guesswork. Teams deploy blind — and deal with surprise bills after.
Neurovn fixes all of this. Here's how ↓
How it works
Three steps. Click any stage to inspect it.
Step 01
Design
Place the core nodes on the canvas and sketch the flow in seconds.
Visual Orchestration
Design your entire workflow. Visually.
Drag Start, Agent, Tool, and Finish nodes onto an infinite canvas. Connect them to define data flow, assign models, and see the full graph — no code required.
Token & Cost Estimation
See exactly what it costs. Before you ship.
Our engine uses real-time provider pricing and optimized token logic to calculate exact counts, costs, and latency for every node in your graph — in under 10ms.
14,830
tokens
$0.024
total cost
3.4s
latency
Codebase Integration
Visual-first, code-connected workflows.
Neurovn combines a visual orchestration layer with direct codebase instrumentation. Decorator-first traces and CLI ingestion stay transferable to the same editable canvas, with high-fidelity token and latency estimation powered by Rust-backed tiktoken tokenization.
Code + Canvas, Unified
Neurovn gives you a visualization layer and direct codebase integration in one workflow.
Instrument existing services with lightweight decorators or CLI ingestion, then transfer everything into the same editable canvas.
Rust-backed tokenization via tiktoken powers high-fidelity token and latency estimation from real execution paths.
Instrument
Add CLI trace commands or Python decorators in your existing codebase.
Transfer
Neurovn converts runtime traces into a clean, editable workflow canvas.
Optimize
Refine costs, latency, and structure visually without losing code context.
from neurovn import trace
@trace.agent(name="research", model="gpt-4o")
def research_agent(prompt: str): ...
python -m neurovn trace workflow.json
# opens as editable canvas with cost + latency breakdownScenario Comparison
Compare models side by side. Pick the winner.
Clone your workflow, swap providers, and compare cost-to-performance ratios instantly. GPT-4o vs Claude 4 Sonnet — see the numbers before committing.
GPT-4o Pipeline
Cost: $0.024
Latency: 3.4s
Claude 4 Sonnet Pipeline
Cost: $0.051
Latency: 1.8s
Critical Path Analysis
Find bottlenecks before they tank performance.
DAG-aware graph analysis detects slow nodes, highlights the critical path, and identifies cycle risks — automatically. No manual tracing required.
Multi-Provider Support
38+ models. 7 providers. One tool.
OpenAI, Anthropic, Google, Meta, Mistral, DeepSeek, and Cohere — all pricing data is built in and kept up to date. Mix and match across a single workflow.
GPT-4o
OpenAI
GPT-4o Mini
OpenAI
Claude 4 Sonnet
Anthropic
Claude 3 Opus
Anthropic
Gemini Pro
Llama 3.1 70B
Meta
Mistral Large
Mistral
DeepSeek V2
DeepSeek
Command R+
Cohere
Cloud Persistence
Your workflows, saved and secure.
Sign in with Google or GitHub. Every workflow is auto-saved to the cloud with row-level security. Close the tab and pick up exactly where you left off.
Model Providers
Connects with every major AI provider
38+ models across 7 providers — all pricing data built in. Compare across OpenAI, Anthropic, Google, and more in a single workflow.
Adding a new model takes one line in our pricing config. No code changes required.