OpenAI Agents SDK connects to Provely through the MCP server, the CLI, the SDK, the REST API. The agent does the action. Provely verifies the outcome and signs a receipt. OpenAI Agents SDK never holds the verifier credentials.

A person verified the OpenAI Agents SDK capabilities on 2026-09-05. Agent products change monthly. Re-verify before you build.

Source: integration profile openai-agents · retrieved 2026-09-05

Which surfaces does OpenAI Agents SDK use?

SurfaceSupportDetail
MCP serverSupportedtransport stdio, http
CLISupportedRuns through the shell tool of the agent.
SDKSupportedlanguages python, typescript; adapter openai
REST APISupportedAny HTTP call reaches the control plane.

Which guidance files does OpenAI Agents SDK read?

The renderer writes prompt fragment, tool schemas from one source. A new agent needs a profile, not core code.

FormatPathMode
prompt fragmentprovely/prompt-fragment.mdfragment
tool schemasprovely/tool-schemas.jsonfragment
CI gate workflow.provely/ci/github-actions.ymlfragment

How is a false completion claim blocked?

EnforcementSupportDetail
Advisory guidanceSupportedThe instruction files state the rules for every agent.
Lifecycle hooksSupportedoutput_guardrail
CI gateSupportedprovely verify --wait fails the pipeline unless the verdict is VERIFIED.

How do I connect OpenAI Agents SDK?

Connect OpenAI Agents SDK to Provely

  1. Install the CLI.Run npx provely --version, or download the static binary.
  2. Register the MCP server.Add the Provely server. Use provely mcp for stdio, or the hosted HTTP server with a bearer token. The tools are begin, verify, status, and receipt.
  3. Write the guidance files.Run provely init --agent openai-agents. It writes provely/prompt-fragment.md (fragment), provely/tool-schemas.json (fragment), .provely/ci/github-actions.yml (fragment). The guidance carries one rule: a successful tool call is not completion.
  4. Install the hooks.Enable the output_guardrail hooks. A hook calls the CLI and blocks a completion claim while an operation is PENDING.
  5. Add the CI gate.Run provely verify --wait <duration> in the pipeline. The step fails unless the verdict is VERIFIED. Exit codes: 0 VERIFIED, 2 PENDING, 3 FAILED, 4 CONTRADICTED, 5 UNVERIFIABLE.
  6. Report the verdict exactly as returned.VERIFIED: "The action is verified complete. Receipt: <id>." PENDING: "The action is accepted but not yet verified. Operation: <id>."

What else does the profile state?

  • Verified 2026-09-05: output guardrails run on the final agent output. @output_guardrail returns GuardrailFunctionOutput(output_info, tripwire_triggered). A tripwire raises OutputGuardrailTripwireTriggered. Source: https://github.com/openai/openai-agents-python (docs/guardrails.md).
  • The hook event output_guardrail is code, not a script. The openai adapter (packages/mcp or the SDK) ships the guardrail that blocks a final answer that claims completion without a verdict object.
  • Two version lines exist: openai-agents (Python) 0.22.0 and @openai/agents (JavaScript) 0.17.0 on 2026-09-05. The profile states one range that covers both. The adapter records the SDK version in effect per operation.
  • Use the openai adapter. Wrap each side-effecting function tool so the action runs inside an operation. Attach the verdict to the tool result.

OpenAI Agents SDK keeps its action credentials, and no surface returns the verifier credentials to it. Read the credential boundary. An operation outlives the session that opened it. Read the API reference.

Which host versions does the profile cover?

>=0.17.0. The integrations team last verified the profile with openai-agents 0.22.0 (PyPI) and @openai/agents 0.17.0 (npm) on 2026-09-05.