Industry
Agent evaluation for government and public sector
Public-sector agents need traceable decisions, artifact bundles, and repeatable tests before deployment. AgentClash captures replay evidence and scorecards reviewers can attach to change records.
Candidate
Baseline
Control
replay timeline
ci verdict
Correctness improved, latency within budget, and required artifacts were preserved for review.
agentclash run create --follow
Government eval signals
Built for reviewable agent decisions
Track task completion, evidence quality, tool discipline, artifact exports, and whether candidate runs regress against an approved baseline.
Sandboxed real-tool execution
Head-to-head runs with fair constraints
Scorecards for correctness, cost, latency, and tool strategy
Replay trails for every important action
Challenge packs that turn failures into reusable tests
CI gates for baseline versus candidate decisions
Workflow
Government eval workflow
Package the task
Describe the workload as a challenge pack with inputs, tools, scoring rules, and artifacts.
Race the agents
Run every candidate against the same task with the same constraints.
Replay the evidence
Inspect tool calls, outputs, artifacts, latency, cost, and judge evidence after the run.
Gate the release
Compare candidate and baseline runs, then fail CI before a regression reaches users.
Build audit-ready packs
Bring your first workload into the loop
Encode citizen service workflows as challenge packs with validators and replay links your program office can review.
Agent evals
Real-task agent evals with replay evidence and CI gates.
LLM agent evaluation
Evaluate LLM agents on full trajectories, not one-shot answers.
Compare tools
See how AgentClash differs from prompt-eval platforms.
Enterprise pilot
Discuss residency, deployment, and governed eval for public sector.
Agent replay feature
Inspect trajectories and artifact bundles after each run.
Agent evaluation glossary
Core terms for standing up an eval program.
Quickstart
Validate the CLI and get to your first runnable command.
Write a challenge pack
Turn a real task into a repeatable agent evaluation.
CI/CD agent gates
Fail a pull request when an agent regresses.
FAQ
Government agent evaluation FAQ
Can reviewers export evidence from a run?
Yes. Replay captures tool calls, artifacts, and scorecard dimensions so reviewers can attach evidence to internal change and approval workflows.
Does AgentClash guarantee FedRAMP or IL compliance?
No. AgentClash provides evaluation infrastructure and evidence. Deployment, accreditation, and authority to operate decisions are yours. Enterprise can discuss dedicated deployment during architecture review.
How do teams compare vendors or model routes fairly?
Run every candidate on the same frozen challenge pack with identical tools and budgets, then compare scorecards and replay side by side.