Framework
An agent evaluation framework built for production tasks
Teams comparing agent evaluation frameworks should look past leaderboard scores. AgentClash gives you repeatable workloads, head-to-head races, replay evidence, and release gates you can audit in git.
Candidate
Baseline
Control
replay timeline
ci verdict
Correctness improved, latency within budget, and required artifacts were preserved for review.
agentclash run create --follow
What a serious framework includes
Built for reviewable agent decisions
A useful agent evaluation framework packages tasks, enforces fair constraints, scores trajectories, and makes failures reusable.
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
Framework 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.
Evaluate before you commit
Bring your first workload into the loop
Use AgentClash alongside prompt-eval tools when you need end-to-end agent behavior, not single-call scoring.
FAQ
Framework comparison FAQ
How is AgentClash different from prompt-evaluation frameworks?
Prompt-evaluation frameworks score isolated model outputs. AgentClash is an agent-evaluation framework for multi-turn tool-using runs in a sandbox.
Can we compare AgentClash with other tools?
Yes. See the compare hub for side-by-side notes with Braintrust, LangSmith, Promptfoo, Langfuse, Arize Phoenix, and OpenAI Evals.
Does the framework support custom scoring?
Yes. Challenge packs carry scoring rules, validators, and judge configuration so teams can encode domain-specific pass conditions.