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Visdom AI Tracing

Every AI interaction, fully traceable

Visdom AI Tracing captures every AI interaction across the entire software lifecycle.

The gap

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.

How it works

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.

Explore the platform

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.

Why it matters

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.

Technical Reference

Explore detailed technical documentation, implementation guidelines, and reference materials.

Read the documentation