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Coval Agent Evaluation

by coval

19 tools for evaluating voice and chat agents — runs, test sets, test cases and metrics, org-scoped.

LLM Evaluation & ObservabilityOfficial source
Summary
Creating test cases from a conversation is the workflow this unlocks.

Evaluation suites rot because writing cases is tedious and happens outside the tool where the failure was noticed. With create_test_case reachable from the same conversation where you just watched an agent get something wrong, the case gets written while the example is in front of you. The rest of the surface is the ordinary CRUD that makes that possible; consult_sofia is the odd one — a vendor assistant exposed as a tool, which is either convenient or a layer of indirection depending on your taste.

What it is

Coval's endpoint over their agent evaluation platform. The tools mirror the domain: agents under test, test sets and cases, runs against them, and the metrics that come out.

What you get
  • list_agents, get_agent, create_agent, update_agent — the agents being evaluated
  • list_test_sets, get_test_set, create_test_set and the matching test-case tools — build the suite from the conversation
  • list_runs, get_run, create_run — start an evaluation and read what came back
  • list_metrics, get_metric — the measurements over those runs
  • consult_sofia — Coval's own assistant, reachable as a tool
Requirements

OAuth 2.0 with PKCE, refresh tokens and dynamic client registration through Clerk. Tokens are org-scoped.

Setup effort

Paste a URL, then authorize — add the endpoint to your client, then approve the OAuth consent screen