
Plzebo
io.github.wkoverfieldPublished by GitHub account wkoverfieldv0.2.0Updated Oct 24, 2026
Cost-parity bench for agent loops: $/success and time across model mixes, with verifiable receipts.
Overview
A local MCP server that lets an assistant start, extend and read cost-parity benchmarks comparing agent loops by dollars and minutes per successful outcome.
- What you can do
- Start a measurement from a named arm template, with a cost estimate and a one-time confirm token before any spend (measure_start). Extend an existing run to a larger K, reusing trials already paid for (measure_extend). Check job progress and read the resulting verdict and receipt (measure_status, measure_result). Runs are metered through a local gateway that records provider-reported token usage per call, and receipts can be recomputed from raw rows.
- When to use it
- Use it when you want to compare two or more ways of getting the same task done, such as a cheaper model mix, a different setup, or a tool on versus off, and need a defensible answer on cost per success rather than a guess.
- Requirements
- Local process run with npx; Node 22.6 or later and Git, plus whatever the arms and oracle need. For placebo-mode arms, an ANTHROPIC_API_KEY or OPENAI_API_KEY is exported; passthrough arms use their own login instead. A budget is mandatory, and MCP arms come only from the claude-cli, claude-subscription and codex-cli templates.
Installation
In SourceWeft
- Open Plzebo in the dashboard and add it to a workspace.
- Enable the server for the chats that should use its tools.
Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.
Other MCP clients
Follow the launch instructions in the repository.
README
plzebo
Cost-parity bench for agent loops. Point it at two or more ways of getting the same task done (a cheaper model mix, a different setup, a tool on vs off) and it measures which one delivers the outcome for less, in dollars and in minutes, and whether the gap is real or noise. Runs locally, on your own keys or your own subscription. An agent can call it on itself over MCP.
The headline metric is cost per successful outcome: total metered spend divided by successes, compared across arms with a 95% confidence interval. Time per successful outcome is reported beside it. When the data cannot support a claim, plzebo says so instead of making it.
How it measures
- Arms are whole loops. An arm is a shell command that runs an agent to completion on a task, plus model rewrite rules applied at a local metering gateway. Loop code can be byte-identical across arms while the gateway maps every
claude-*call to each arm's model. - Every model call transits the gateway. Arms receive a placebo key (
sk-placebo-...) and a redirected base URL; the gateway swaps in the real key upstream and records provider-reported token usage per call. A call that bypasses the gateway fails at the provider instead of billing invisibly, and a trial with zero metered calls is flagged, never compared. - Trials are paired and interleaved. K pairs run back to back with a seeded coin flip deciding arm order per pair, so provider drift lands inside pairs. Prompt caching is disabled and every trial carries a unique nonce, so no arm warms a cache for another.
- Grading never trusts the agent's tree. The diff is filtered against a protected-path list (tests, runner config), applied to a pristine checkout, and the test command runs there. Editing the tests fails the trial.
- Statistics refuse to overclaim. Success differences use an exact McNemar test with Holm correction across arms. Parity requires an equivalence test, not just a failed significance test. Cost and time deltas come from a paired bootstrap. Fewer than five successes on either side blocks cost rulings. Timeouts are graded failures with spend included; crashes and provider throttling (429/529) are excluded with spend disclosed. Every refusal is printed as an explicit do-not-claim line.
- Receipts are the artifact. Every run writes a JSON receipt: the spec and its pre-registration hash, every trial's raw rows (tokens, per-call status, changed paths, output tails), the stats inputs, the pricing table version, and a generated estimand statement.
plzebo verify receipt.jsonrecomputes every derived number from the raw rows and reports any divergence.
Requirements
Node 22.6 or later (the CLI runs its TypeScript sources through Node type stripping; the launcher supplies the flag on versions that need it). Git, plus whatever your arms and oracle need (for the examples here: python3).
Quick start
A spec:
Every run prints its cost estimate before the first trial. A run without a budget is refused. Start with a small K: the report on an inconclusive run prints the exact K that would resolve it and the estimated cost, and plzebo extend <receipt.json> --to-k K reuses the trials you already paid for. A receipt can be extended once, and the extension is disclosed inside it.
Auth modes
auth: placebo(default): you exportANTHROPIC_API_KEYorOPENAI_API_KEY; arms only ever see placebo keys. Strongest metering guarantee: a bypassing call fails loudly.auth: passthrough: the arm uses its own login. No API credits are spent; USD is imputed from metered tokens at list rates and the receipt discloses this. Tokens are the ground truth either way. Verified for Claude Code, which honorsANTHROPIC_BASE_URLunder subscription auth. Codex under ChatGPT auth routes to its own backend and ignoresOPENAI_BASE_URL, so subscription-authed Codex is unmeterable; run Codex arms in API-key mode via thecodex-clitemplate instead.
Two caveats for passthrough arms. A trial that bypasses the meter is excluded rather than falsely counted, but the tokens it consumed upstream are real; the receipt cannot see them. And a personal login carries personal agent configuration: instructions, hooks, and memory files travel with it, which can inflate costs and, for agents that act on standing instructions, cause writes outside the trial workspace. Prefer isolated-config templates when comparing loops rather than your own setup.
Model-mix arms (orchestrator and workers on different models)
Every cost node in a receipt records two models: role, the model the loop REQUESTED, and model, what the arm's rewrite rules resolved it to. A loop that requests different models for different jobs (a main session on one model, subagents on another) therefore encodes its role structure into the receipt, and arms that share the same command can bind those roles differently through rewrites alone:
The packaged scripts/arms/subagent-mix.sh shows the Claude Code shape: a headless session with an inline --agents definition whose worker requests a different model than the main session. Adapt the agent prompt and models to your task.
A model-mix comparison is only valid when the loop actually delegated: a trial whose cost tree has no worker-role calls measured a solo run, not a mix.
fidelity exits 1 if any completed trial never made a worker-role call, and prints each trial's call counts, tokens, and imputed spend grouped by requested and resolved model, so the mix an arm claims is checkable from its receipt.
Providers
The gateway speaks two wire formats: Anthropic and OpenAI-compatible, which covers most open-weight serving (Ollama, vLLM, OpenRouter, Together, and similar). Arms can override providers individually:
Constraint: plzebo can only meter loops that authenticate with a key or token and honor a redirectable base URL (ANTHROPIC_BASE_URL / OPENAI_BASE_URL).
MCP
npx plzebo-mcp serves four tools on stdio: measure_start, measure_extend, measure_status, and measure_result. Starting a measurement is two-phase: the first call validates the request and returns a cost estimate plus a one-time confirm token while spending nothing; only a second call presenting that token runs trials. A budget is mandatory, and MCP arms come only from named templates (claude-cli, claude-subscription, codex-cli), never raw shell. Job state and receipts persist under .plzebo/, so verdicts survive the session that produced them.
What a receipt supports, and what it does not
A receipt is a single-task result under a stated model mapping. It is not a model capability ranking and does not generalize beyond its fixture; the estimand text inside the receipt says exactly this. USD figures on passthrough arms are imputed at pricing-table rates from metered tokens, not billed spend, and the pricing table version travels in the receipt so the numbers stay recomputable after prices change.
License
MIT
Source: README.md at commit 073d415
Tools
0Version history
1- v0.2.0LatestSep 16, 2026
Score
50% of the applicable checks met
How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.
- Reached in the last 30 days25 pts
Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.
- Auth declared10 pts
Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.
- Tools listed15 pts
Answer tools/list without a credential, or ship a package that starts in a sandbox without one.
- DescriptionRequired15 pts
- Logo10 pts
- Documentation15 pts
- License10 pts