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Better models and more traces do not make agents trustworthy. You need measurable verification before ship and runtime control after, with evidence you can audit. Akhara AI is a verification suite for teams shipping agents in production. Harnesses get agents running; this stack keeps them measurable, gated, and under policy.

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Why Akhara exists

Agents act: they call tools, move carts, write to systems of record. Reliability is not “the model got smarter.” It is whether you can:
  1. Define success before you build (datasets, rubrics, tasks, environments)
  2. Fail the pipeline when quality regresses
  3. Score multi-step behavior in realistic apps, not only prompt-response pairs
  4. Enforce policy at consequential actions, not merely log what happened
  5. Bring domain experts into the loop when automated scores are not enough
If you only have a proxy, a chat harness, or post-hoc observability, you are flying without a pre-flight checklist or a cockpit.

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Verification at the runtime boundary

Observability collects logs and traces after the run, then reconstructs what happened. That work sits outside the runtime: it can explain a failure, not prevent one. Akhara sits in the path as a gateway the agent passes through, verifying each step as the agent runs. Every step follows the same loop: the agent proposes a step, the gateway checks it, a verdict lands, and the run continues, stops, or waits for a human. Hover a verdict below to see what it does to the run.
01 Agentproposes a steptool call or output
02 Akhara gateway
  • allowed
  • grounded
  • safe
  • on track
03 VerdictALLOWevidence recorded
04 Next stepcontinuesor stops, or waits
Verdict indexALLOWChecks pass. A one-time permit is minted and the step executes.WARNThe step proceeds, flagged in the evidence trail for later review.BLOCKThe step never reaches the tool. The agent receives the reason.ESCALATEThe run pauses and the step routes to a human approver.
The gateway is the control plane’s enforcement pair: the Policy Enforcement Point (PEP) in your runtime enforces, and the Policy Decision Point (PDP) decides. Evaluation and Environments make the checks measurable; the control plane enforces the live decision. See Glossary for suite terms.

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The verification stack

Your agent proposes each step to the Akhara gateway and gets a verdict back; Evaluation, Environments, and Expert Review sit behind the gateway, and only allowed steps reach external tools and users. The stage table below maps each product to its job in the path. Enterprise verification is a stack decision, not a model swap: measure early, gate continuously, control what reaches users.

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Features

What you get across the suite. Pick by the job, then deep-link into the docs.

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When to use which

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Start here

Environments quickstart

Run your first scored evaluation against https://agi.akhara.ai.

Control plane quickstart

Get your first BLOCK verdict from the PDP in about ten minutes.

Evaluation quickstart

Install the Akhara SDK (pip install akhara) and run your first evaluation.

Expert Review for enterprises

Invite your specialists to review agent runs, grade hard cases, and tighten tasks and rubrics.