Visdom AI TracingEvery AI interaction, fully traceable
Visdom AI Tracing captures every AI interaction across the entire software lifecycle.

AI can generate thousands of code changes, tool calls, and decisions across repositories and models. Without a complete record, no one can say how that code was produced, who approved it, or which rules it followed.
Questions no one can answer after the fact
How it was produced
Which sessions, prompts, and models generated a given line of code.
Who approved it
Which human reviewed and signed off before the change was pushed.
Which rules applied
Whether the required tools, reviews, and tests were actually run.
The AI Development Record
Visdom AI Tracing turns AI-assisted development into a durable record. Five pillars of governance sit on top of it: understand how software was created, enforce policies, investigate incidents, control costs, and keep audit-ready evidence.
Observability
See what agents actually did
Every prompt, response, tool call, and file change is captured in real time and tagged to a repository, developer, and model.
Governance
Enforce the rules on every commit
Repository-level policies block or flag pushes that skip a required tool, review, or test.
Compliance
Keep an audit-ready, tamper-proof record
Every commit is hashed with SHA-256, signed with Ed25519, and chained to the seal before it.
Cost control
Know what AI development actually costs
Spend, tokens, and cache savings broken down by developer, repository, and model.
Provenance
Trace any line back to its origin
Line-level attribution links each commit to the AI session that produced it, or to its human author.
Nine modules, one record
Nine modules share a single record of AI-assisted development. Some let you observe what agents did, some govern how they work, and the rest help you understand and administer the result. Each one has its own page.
Observe
Dashboard
Spend, developer activity, sessions, and compliance health at a glance.
Observe
Traces
Every session, commit, and tool call, linked into one searchable history.
Observe
Analytics
Nine views over tokens, models, authors, attribution, and cost.
Govern
Repositories
Per-project governance: registration, policies, and code attribution.
Govern
Policies
Rules that block or flag a push when a required tool or test is skipped.
Govern
Compliance
Hash-chained, signed records with a filterable, verifiable audit log.
Understand
Chat
Ask in plain English, get answers grounded in real sessions and commits.
Understand
Stories
AI-written narratives explaining how a function came to be.
Administer
Settings
Roles, API keys, model providers, and pricing for the whole organization.
Evidence, not recollection
Regulatory audits, incident investigations, and code reviews all require tracing code back to its origin. Visdom AI Tracing keeps that evidence as a by-product of the work itself.
Prove authorship. Every commit carries its session record.
A compliance officer can verify that every commit has a linked session; a security reviewer can check whether AI-generated code followed the required patterns.
Enforce standards. Quality gates run on every push.
Policies turn team conventions into automatic checks, so nothing ships without the review and test steps the team agreed on.
Control spend. See what AI development actually costs.
Tokens, cost per developer, and cache savings are visible per repository and model, so a spike is caught the week it happens.
Discover other Visdom Components
Rule the development of the agentic era
Technical Reference
Explore detailed technical documentation, implementation guidelines, and reference materials.





