atomic-agents-stack: Parallel helper/delegate batch reserves $0 for models absent from the pricing table, bypassing the cost-cap fan-out guard
What to do
Vendor fix available. Upgrade each affected package to the fixed version on its release line (atomic-agents-stack 1.1.0), redeploy, then verify what is actually installed.
This page has no inventory attached, so it cannot say whether you are affected. A vendor fix is not proof that your deployment is fixed.
Affected packages
PyPI atomic-agents-stack
- Affected
- <= 1.0.0
- Fixed in
- 1.1.0
Sources
- GitHub Advisory Database and maintainer security advisories on GitHub
GitHub-reviewed advisory GHSA-j659-8xh6-5pq5 lists affected ranges: PyPI atomic-agents-stack >=0 <=1.0.0
VerifiedObserved Structured GitHub Advisory Database record (type=reviewed) from the GitHub REST API.
Severity and exploitation
- Exploitation
- No confirmed exploitation recorded. Patch Next marks exploitation only from CISA KEV.
- CVSS 4.0
- 8.7 · CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N · score source
- EPSS
- No dated EPSS signal available.
Source description
As published by the source; long descriptions are shortened.
estimatebatchcost (atomicagents/agent.py) looks up the per-model output price with PRICING.get(model, {}), returning 0.0 for any model not in the hardcoded pricing table. checkbatchreservation then early-returns when the reservation is <= 0, skipping the batch reservation entirely. That reservation is the only defense against the documented fan-out race where every parallel helper/delegate reads the identical pre-batch on-disk cost total and each passes its individual check even though the collective spend overruns the configured cap. Impact: an operator running any model not in the pricing table (self-hosted/Ollama/vLLM, a new provider SKU) with costguardrails + dailycapusd set believes the cap protects them, but a single parallel batch can blow past the cap. The parallel-helper model argument can also be steered to an unknown id. The sibling dream.estimatedreamcost does this correctly (PRICING.get(model, fallbackpricing())), which makes this a clear defect. Affected: agent.py…
Dates and revisions
- Published by the source
- Last modified by the source
- Source last checked
- Revision 1 · created ·
Published from ghsa record GHSA-j659-8xh6-5pq5
Agent brief
Preview the exact text before you copy it. Commands are read-only suggestions; review them before running anything.
# Patch Next advisory brief: GHSA-j659-8xh6-5pq5 Advisory: atomic-agents-stack: Parallel helper/delegate batch reserves $0 for models absent from the pricing table, bypassing the cost-cap fan-out guard IDs: GHSA-j659-8xh6-5pq5 Record: https://patchnext.com/advisories/ghsa-j659-8xh6-5pq5 (revision 1, source checked 26 Oct 2026, 13:50 UTC) Inventory: none attached. This brief comes from a public page and does not say whether any deployment is affected. Severity: High (CVSS 8.7) Exploitation: no confirmed exploitation recorded. Patch Next confirms exploitation only from CISA KEV. Vendor response: Vendor fix available; fixed versions by package: atomic-agents-stack 1.1.0. A vendor fix does not mean a deployment is fixed. ## Affected components - PyPI atomic-agents-stack: affected <= 1.0.0; fixed in 1.1.0 ## Suggested inspection (read-only) - `python -m pip show atomic-agents-stack`: prints the installed version. Run with the environment that serves production active. ## Supported action Upgrade each affected component to a fixed version on its release line. For a transitive dependency, upgrade the parent package or add an override or constraint, then regenerate the lockfile. Redeploy every environment that ran an affected version. ## Required regression checks - Run the test suite and a production build. - Exercise the features that depend on atomic-agents-stack. - Repeat the inspection and confirm that only fixed versions remain installed. ## Rollback considerations - Keep the previous lockfile and deployment artifact. Rolling back reinstates the vulnerable version, so apply any documented mitigation while you fix forward. ## Unresolved questions - Which deployments run an affected version? - Exploitation status can change. Check again before lowering the priority. - Mark the work resolved only after the fixed version is verified in production. ## Sources - Verified: https://github.com/advisories/GHSA-j659-8xh6-5pq5 (GitHub-reviewed advisory GHSA-j659-8xh6-5pq5 lists affected ranges: PyPI atomic-agents-stack >=0 <=1.0.0) Commands are suggestions: review each one before running it.
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