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Bump openai-agents from 0.0.7 to 0.15.1 in /openai-agents#30

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Bump openai-agents from 0.0.7 to 0.15.1 in /openai-agents#30
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@dependabot dependabot Bot commented on behalf of github May 2, 2026

Bumps openai-agents from 0.0.7 to 0.15.1.

Release notes

Sourced from openai-agents's releases.

v0.15.1

What's Changed

Documentation & Other Changes

New Contributors

Full Changelog: openai/openai-agents-python@v0.15.0...v0.15.1

v0.15.0

Key Changes

Better model refusal handling

In this version, model refusals are now surfaced explicitly as ModelRefusalError instead of being treated as empty text output or, for structured outputs, causing the run loop to retry until MaxTurnsExceeded.

This affects code that previously expected a refusal-only model response to complete with final_output == "". To handle refusals without raising, provide a model_refusal run error handler:

result = Runner.run_sync(
    agent,
    input,
    error_handlers={"model_refusal": lambda data: data.error.refusal},
)

For structured-output agents, the handler can return a value matching the agent's output schema, and the SDK will validate it like other run error handler final outputs.

What's Changed

Documentation & Other Changes

... (truncated)

Changelog

Sourced from openai-agents's changelog.

Release process/changelog

The project follows a slightly modified version of semantic versioning using the form 0.Y.Z. The leading 0 indicates the SDK is still evolving rapidly. Increment the components as follows:

Minor (Y) versions

We will increase minor versions Y for breaking changes to any public interfaces that are not marked as beta. For example, going from 0.0.x to 0.1.x might include breaking changes.

If you don't want breaking changes, we recommend pinning to 0.0.x versions in your project.

Patch (Z) versions

We will increment Z for non-breaking changes:

  • Bug fixes
  • New features
  • Changes to private interfaces
  • Updates to beta features

Breaking change changelog

0.15.0

In this version, model refusals are now surfaced explicitly as ModelRefusalError instead of being treated as empty text output or, for structured outputs, causing the run loop to retry until MaxTurnsExceeded.

This affects code that previously expected a refusal-only model response to complete with final_output == "". To handle refusals without raising, provide a model_refusal run error handler:

result = Runner.run_sync(
    agent,
    input,
    error_handlers={"model_refusal": lambda data: data.error.refusal},
)

For structured-output agents, the handler can return a value matching the agent's output schema, and the SDK will validate it like other run error handler final outputs.

0.14.0

This minor release does not introduce a breaking change, but it adds a major new beta feature area: Sandbox Agents, plus the runtime, backend, and documentation support needed to use them across local, containerized, and hosted environments.

Highlights:

  • Added a new beta sandbox runtime surface centered on SandboxAgent, Manifest, and SandboxRunConfig, letting agents work inside persistent isolated workspaces with files, directories, Git repos, mounts, snapshots, and resume support.
  • Added sandbox execution backends for local and containerized development via UnixLocalSandboxClient and DockerSandboxClient, plus hosted provider integrations for Blaxel, Cloudflare, Daytona, E2B, Modal, Runloop, and Vercel through optional extras.
  • Added sandbox memory support so future runs can reuse lessons from prior runs, with progressive disclosure, multi-turn grouping, configurable isolation boundaries, and persisted-memory examples including S3-backed workflows.
  • Added a broader workspace and resume model, including local and synthetic workspace entries, remote storage mounts for S3/R2/GCS/Azure Blob Storage/S3 Files, portable snapshots, and resume flows via RunState, SandboxSessionState, or saved snapshots.
  • Added substantial sandbox examples and tutorials under examples/sandbox/, covering coding tasks with skills, handoffs, memory, provider-specific setups, and end-to-end workflows such as code review, dataroom QA, and website cloning.
  • Extended the core runtime and tracing stack with sandbox-aware session preparation, capability binding, state serialization, unified tracing, prompt cache key defaults, and safer sensitive MCP output redaction.

... (truncated)

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Bumps [openai-agents](https://github.com/openai/openai-agents-python) from 0.0.7 to 0.15.1.
- [Release notes](https://github.com/openai/openai-agents-python/releases)
- [Changelog](https://github.com/openai/openai-agents-python/blob/main/docs/release.md)
- [Commits](openai/openai-agents-python@v0.0.7...v0.15.1)

---
updated-dependencies:
- dependency-name: openai-agents
  dependency-version: 0.15.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels May 2, 2026
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dependabot Bot commented on behalf of github May 9, 2026

Superseded by #31.

@dependabot dependabot Bot closed this May 9, 2026
@dependabot dependabot Bot deleted the dependabot/pip/openai-agents/openai-agents-0.15.1 branch May 9, 2026 23:12
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