bitrouter
Use when installing, configuring, running, or troubleshooting BitRouter from its CLI — a self-hosted LLM proxy on 127.0.0.1:4356…
Use when evaluating BitRouter route decisions or Eval Exchange subjects with task-native verifiers, human reviewers, private enterprise evaluators, agentic judges, or genuinely uncategorized evaluator sources.
Claude Code
$ npx -y skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes --agent claude-code
Codex
$ npx skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes -a codex -y
Cursor
$ npx skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes -a cursor -y
Gemini CLI
$ npx skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes -a gemini-cli -y
GitHub Copilot
$ npx skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes -a github-copilot -y
OpenCode
$ npx skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes -a opencode -y
Windsurf
$ npx skills add bitrouter/bitrouter --skill evaluating-bitrouter-routes -a windsurf -y
name: evaluating-bitrouter-routes description: Use when evaluating BitRouter route decisions or Eval Exchange subjects with task-native verifiers, human reviewers, private enterprise evaluators, agentic judges, or genuinely uncategorized evaluator sources.
Evaluate outcomes outside BitRouter's serving path. Produce an immutable result and stop after BitRouter reports its admission status. Do not run the optimizer or use low-level policy publication from the evaluator workflow.
Read [the Eval Exchange reference](references/eval-exchange.md) before forming a subject or result. It is the exact current wire and authority contract.
Choose scope from the observable outcome boundary:
| Evidence boundary | Scope | |---|---| | One request-local outcome | `request` | | Bounded multi-request workflow or conversation | `episode` | | Externally defined task identity plus terminal task or verifier outcome | `task` |
Choose `evaluator.kind` from the actual source:
| Evaluation source | Kind | |---|---| | Task-native verifier | `task_native` | | Human reviewer | `human` | | Private enterprise evaluator | `enterprise` | | Agentic judge | `agentic` | | Genuinely uncategorized evaluator | `generic` |
1. Copy every decision's `decision_id`, `policy`, `route_projection`, `request_key`, `selected_tier`, `baseline_tier`, `policy_digest`, and optional `experiment` object from router-authored evidence. Preserve the experiment object verbatim; never invent or edit its id, arm, assignment unit, assignment-id digest, or challenger propensity. 2. Redact evidence before it leaves its private source. Retain raw messages, tool arguments, code, and evaluator output with the evaluator; place safe, content-addressed evidence items in the subject. 3. List only dimensions the evaluator was asked to judge. Leave unsupported dimensions absent. Use `inconclusive` when evidence cannot support a verdict. 4. Set `confidence_ppm` to the evaluator's confidence that its verdict is correct. Use `null` when the evaluator or rubric does not supply confidence. For a task or episode cost result, submit the complete unit cost as `cost.usd_micros` with unit `micro_usd`; never substitute one request's price for the complete task or episode. 5. Write a draft subject with an empty `evidence_digest`, then seal it:
bro eval subject seal subject-draft.json --output subject.json
6. For a multi-decision subject, derive `decision_credit` from the fixed evaluator credit policy:
The result remains a record but produces no per-route evidence. For a one-decision subject, empty credit means implicit full credit. When an inconclusive evaluator intentionally withholds attribution, emit that decision with `weight_ppm: 0` instead. Keep hypothetical or illustrative weights outside submit-ready JSON.
1. Insert the sealed subject and submit a result that repeats its exact `eval_id` and `evidence_digest`.
bro eval subject put subject.json --config bitrouter.yaml bro eval result submit result.json --config bitrouter.yaml
2. Treat an `admitted` response as eligible evidence. Preserve `held_out`, `rejected`, and `disputed` responses as non-training records. 3. Hand off the sealed subject, result, submission response, and private evidence references, then stop. A later `bro optimize run` invocation is a separate autonomous authorization; do not review, publish, or run it as part of evaluation.
causal policy (for example, a matched control plus one changed route family) or withhold credit.
Optimizer membership never comes from the evaluator-owned `cohort` string.
packet assigns positive quality credit. Attribute cost or latency separately.
confidence, and idempotency key stable for an equivalent retry.
scope, keep `subject_id` stable for the canonical task inside its explicit run/source/policy namespace so repeated attempts cannot inflate the generic compiler's independent-task count.
The minimal interpretable model router that learns & adapts to your agent workflows. Point an OpenAI-compatible agent at your local BitRouter instance and choose bitrouter/auto after configuring an auto router and policy. See the routing guide for setup.
Use when installing, configuring, running, or troubleshooting BitRouter from its CLI — a self-hosted LLM proxy on 127.0.0.1:4356…
Use when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a…
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or…
Ask which skill or flow fits your situation. A router over the skills in this repo.