Internal Agents Map

Sevbot

OpenAI's internal incident-response agent, built on Codex. When an incident is detected, it collects context, proposes mitigations, and answers questions in the incident Slack channel. The report describes an engineer instructing it to apply a chosen mitigation.

Company
OpenAI
Approach type
Agent
Human involvement
Drafts reviewed
Invocation
Event-driven
Interfaces
Slack
Deployment stage
Deployed
Evidence strength
Secondary only
Entry reviewed
Copy as MDAsk ChatGPT

How it works

Detected incident to engineer-directed mitigation in the incident Slack channel.

Wake on a detected incident

When an incident is detected, the bot wakes up[Source 1]

Collect incident context

Collects context about the incident[Source 1]

Propose-only mitigation

Proposes mitigations in the incident channel; an engineer can instruct it to apply a specific mitigation[Source 1]

Answer developers' questions

Answers developers' questions as part of the incident Slack channel[Source 1]

Where people stay involved

People review, approve, or guide the agent’s work here.

Reported: The engineer-controlled mitigation instruction is the documented checkpoint; the article states Sevbot never executes a mitigation on its own.

  • Supervision level

    Work-product review

    A person reviews the draft or implementation.

    Level 3 of 5

    • incident detected -> applied mitigation[Source 1]

How supervision levels work

Implementation details

Model
Not reported
Harness
Built on top of Codex[Source 1]
Sandbox
Not reported
Tool access
Not reported
Knowledge
Not reportedNo knowledge source is named for Sevbot; the article's factory-wide Codex context access is not attributed to Sevbot.
Context management
Not reported
Credentials
Not reported
Interfaces
  • slack
[Source 1]

Validation and failure handling

Not reported: The article documents no check of Sevbot's proposals or answers; the propose-only limit is a behavior boundary, not a validation mechanism.

Reported observations

Not reported: No outcome measurement for Sevbot appears in the reviewed captures. The certificate and commit records evidence a deployed service, not results.

Lessons

OpenAI describes autonomous mitigation of routine outages as a goal for Sevbot; on-call duty still exists in the reported deployment.[Source 1]

Observed in September 2026

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Sources and research details

Citations link to the original publisher. Each source also keeps a preserved copy in the repository, so a changed or removed page stays checkable.

  1. Inside OpenAI's agentic software factoryhttps://newsletter.pragmaticengineer.com/p/openai-software-factoryNews · Independent secondary · Last source verification: 2026-09-16
  2. Certificate Transparency records for sevbot.api.openai.comhttps://crt.sh/?q=sevbot.api.openai.comOther · Aggregator · Last source verification: 2026-09-16
  3. [SEVBot] Optionize initialized notification tolerance (openai-agents-python pull 2765 commits)https://github.com/openai/openai-agents-python/pull/2765/commitsSource code · First party · Last source verification: 2026-09-16
Question coverage and scope
purpose
Reported
workflow
Reported: The article lists the run in order: wake, collect, propose, answer, and the engineer instruction. The propose-only primitive spans the proposal and the instruction the article states separately.
human involvement
Reported: The engineer-controlled mitigation instruction is the documented checkpoint; the article states Sevbot never executes a mitigation on its own.
implementation
Reported
validation
Not reported: The article documents no check of Sevbot's proposals or answers; the propose-only limit is a behavior boundary, not a validation mechanism.
observations
Not reported: No outcome measurement for Sevbot appears in the reviewed captures. The certificate and commit records evidence a deployed service, not results.
lessons
Reported
Research details for every claim on this page
  1. Summary
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  2. Harness
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  3. Interfaces
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  4. Propose-only mitigation
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  5. Wake on a detected incident
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  6. Collect incident context
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  7. Answer developers' questions
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    Not assessed
    Confidence reason
    No explicit confidence assessment is recorded for this claim.
  8. Lesson
    Statement type
    Fact
    Provenance
    Reported
    Confidence
    High
    Confidence reason
    The source explicitly contrasts the hoped-for autonomous response with the continuing on-call requirement, so the goal must not read as current behavior.
    Observation date
    2026-09
  9. Operating model assessment
    Statement type
    Inference
    Provenance
    Catalog judgment
    Confidence
    Medium
    Confidence reason
    The article says Sevbot proposes mitigations and that an engineer can tell it to apply one. This supports an engineer-controlled mitigation path; the source's 'never executes any' wording is read as a limit on autonomous execution.
    Observation date
    2026-09