Static worst-case token-budget analysis for LLM-agent workflows + signed budget certificates.
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π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Static worst-case token-budget analysis for LLM-agent workflows. Point it at a Python repo using LangGraph / CrewAI / OpenAI-Agents-SDK and it reports β by pure AST analysis, without running the code β the worst-case budget ceiling of every workflow graph: which units are certifiable / default-dependent / non-certifiable / runaway, and which LLM calls have no token cap. Optionally issues an Ed25519-signed budget certificate logged to a public transparency log. Wraps the hosted costwright API; backed by a Lean 4 cost-soundness theorem.
Use it before deploying an agent workflow to catch missing token caps and
while True:runaway drivers β the budget version of a type check.
| Tool | What it does | Key? |
|---|---|---|
costwright_check(repo_path, policy?) | Static budget analysis of a local repo. Returns pass/fail + counts of certifiable/default-dependent/non-certifiable/runaway units. | yes |
costwright_certify(repo_path, policy?, label?) | Issues a signed, logged budget certificate. Returns cert_id + signature + verify_url. | yes |
costwright_verify(cert_id) | Verify a certificate by id (valid/expired/revoked, signature check). | public |
costwright_pubkey() | Active Ed25519 public keys for offline verification. | public |
The key is sent as X-RapidAPI-Key (RapidAPI channel) by default; set COSTWRIGHT_DIRECT=1 to send
it as Authorization: Bearer for the direct channel. verify and pubkey work with no key.
check/certify build a .py-only gzip archive of repo_path client-side (excluding venv,
node_modules, tests, etc.) and send it for analysis β your source is uploaded to the hosted API.
See https://eleata.io/privacy/. MIT licensed.
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