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build(deps): update openai-agents requirement from <0.19,>=0.12 to >=0.12,<0.20 in /engine - #105

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build(deps): update openai-agents requirement from <0.19,>=0.12 to >=0.12,<0.20 in /engine#105
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Updates the requirements on openai-agents to permit the latest version.

Release notes

Sourced from openai-agents's releases.

v0.19.0

Key Changes

This minor release does not introduce a breaking change. The minor version bump reflects a significant new OpenAI Responses feature area: Programmatic Tool Calling.

Highlights:

  • Added agents.tool.ProgrammaticToolCallingTool, which lets supported OpenAI Responses models generate JavaScript to coordinate eligible tools. It supports per-tool allowed_callers, structured function-tool outputs, and integration with Runner streaming, guardrails, approvals, sessions, and RunState. See Programmatic Tool Calling for setup and constraints.
  • Added the public agents.decorators module and the shorter @tool alias alongside the existing function and guardrail decorators. Function tools now also support async callable objects.
  • SDK configuration now consistently accepts either typed settings objects or dictionaries across agents, runs, models, sessions, sandboxes, and voice pipelines, with validation for unknown settings.
  • Hardened error and diagnostic logging across models, tools, MCP, Realtime, sessions, sandboxes, and tracing to avoid exposing raw sensitive payloads while preserving useful debugging context.
  • Improved AnyLLM, LiteLLM, and Chat Completions compatibility, preserved session history across model retries, and added retries for WebSocket overloads that occur before a response starts.
  • Added VercelCloudBucketMountStrategy. Mounted sessions exclude bucket contents from workspace persistence and intentionally do not support dynamic mount changes or session resume.

What's Changed

... (truncated)

Changelog

Sourced from openai-agents's changelog.

0.19.0

This minor release does not introduce a breaking change. The minor version bump reflects a significant new OpenAI Responses feature area: Programmatic Tool Calling.

Highlights:

  • Added [ProgrammaticToolCallingTool][agents.tool.ProgrammaticToolCallingTool], which lets supported OpenAI Responses models generate JavaScript to coordinate eligible tools. It supports per-tool allowed_callers, structured function-tool outputs, and integration with Runner streaming, guardrails, approvals, sessions, and RunState. See Programmatic Tool Calling for setup and constraints.
  • Added the public agents.decorators module and the shorter @tool alias alongside the existing function and guardrail decorators. Function tools now also support async callable objects.
  • SDK configuration now consistently accepts either typed settings objects or dictionaries across agents, runs, models, sessions, sandboxes, and voice pipelines, with validation for unknown settings.
  • Hardened error and diagnostic logging across models, tools, MCP, Realtime, sessions, sandboxes, and tracing to avoid exposing raw sensitive payloads while preserving useful debugging context.
  • Improved AnyLLM, LiteLLM, and Chat Completions compatibility, preserved session history across model retries, and added provider retry guidance for WebSocket overloads that occur before a response starts so opt-in Runner retry policies can act when replay is permitted.
  • Added create-time-only S3 mounts for Vercel sandboxes through VercelCloudBucketMountStrategy. Mounted sessions exclude bucket contents from workspace persistence and intentionally do not support dynamic mount changes or session resume.

0.18.0

This minor release does not introduce a breaking change. The minor version bump is for the Realtime agents default model update only.

Highlights:

  • Realtime agents now use gpt-realtime-2.1 as the default model, so new Realtime setups use the latest recommended model without extra configuration.

0.17.0

In this version, sandbox local source materialization keeps LocalFile.src and LocalDir.src within the materialization base_dir unless the source path is covered by Manifest.extra_path_grants. The base_dir is the SDK process current working directory when the manifest is applied; relative local sources are resolved from that directory, while absolute local sources must already be inside it or under an explicit grant. This closes a local artifact boundary issue, but it can affect applications that intentionally copy trusted host files or directories from outside that base directory into a sandbox workspace.

To migrate, grant trusted host roots at the manifest level with SandboxPathGrant, preferably as read-only when the sandbox only needs to read those files:

from pathlib import Path
from agents.sandbox import Manifest, SandboxPathGrant
from agents.sandbox.entries import Dir, LocalDir
This is an absolute host path outside the SDK process base_dir.
TRUSTED_DOCS_ROOT = Path("/opt/my-app/docs")
manifest = Manifest(
extra_path_grants=(
# This host root is outside the SDK process base_dir, so the manifest must grant it.
SandboxPathGrant(path=str(TRUSTED_DOCS_ROOT), read_only=True),
),
entries={
# No grant is needed for local sources that stay under the SDK process base_dir.
"fixtures": LocalDir(src=Path("fixtures"), description="Local test fixtures."),
# This entry reads from the granted host root and copies it into the sandbox workspace.
"docs": LocalDir(src=TRUSTED_DOCS_ROOT, description="Trusted local documents."),
# Dir creates a sandbox workspace directory; it does not read from the host filesystem.
"output": Dir(description="Generated artifacts."),
},
)
</tr></table>

... (truncated)

Commits
  • a2d8270 Release 0.19.0 (#3874)
  • da82ee7 fix: retry pre-response WebSocket overload errors (#3978)
  • fe41cc3 fix: use last_agent property in RunResultStreaming._create_error_details (#3967)
  • a335b32 fix: compare inspect sentinels by identity in function_schema (#3961)
  • 045b9ca chore: update FastAPI test dependency (#3974)
  • 3da2465 test: add unit tests covering #3965
  • da14e70 fix: use last_agent property in pretty_print_run_result_streaming to avoid No...
  • f663a06 chore: tighten implementation strategy review guidance
  • 117bd1b fix: preserve callable function tool compatibility (#3959)
  • 5aff70f fix: reuse the verbose stdout logging handler (#3957)
  • Additional commits viewable in compare view

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@dependabot
build(deps): update openai-agents requirement in /engine
4192d89 
Updates the requirements on [openai-agents](https://github.com/openai/openai-agents-python) to permit the latest version.
- [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@v0.12.0...v0.19.0)

---
updated-dependencies:
- dependency-name: openai-agents
  dependency-version: 0.19.0
  dependency-type: direct:production
...

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 Jul 31, 2026
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