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agent-framework/python/packages/azurefunctions
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Evan Mattson 3a463b8bf6 Python: bump package versions for 1.2.1 release (#5536)
* Python: bump package versions for 1.2.1 release

PATCH bump (1.2.0 -> 1.2.1) for the released cohort. The release window
covers two PRs, no new public APIs:

- agent-framework-core: prevent inner_exception from being lost in
  AgentFrameworkException (#5167)
- samples: add requirements.txt and .env.example to the a2a/ hosting
  sample for pip-based setup (#5510)

Per lockstep convention, all 21 beta packages stamp 1.0.0b260428 and all
3 alpha packages stamp 1.0.0a260428, regardless of per-package code
churn. Every non-core package floor on agent-framework-core is raised to
>=1.2.1 to keep cohort signaling consistent. Date stamp reflects the
local (Asia) cut date 2026-04-28.

* Python: silence pyright unknown-type warnings in hosted-env detection

`azure.ai.agentserver.core` is probed at runtime via `importlib.util.find_spec`
and is not a declared dependency. The existing `# pyright: ignore[reportMissingImports]`
suppresses the missing-import warning, but at `lowest-direct` resolution pyright
still reports the imported symbol (`AgentConfig`) and its members (`from_env`,
`is_hosted`) as unknown, breaking `validate-dependency-bounds-test` for
`packages/core`.

Extend the existing ignore to cover `reportUnknownVariableType` on the import
and `reportUnknownMemberType` on the call site so the bounds check returns to
green. Behavior is unchanged.

Latent since #5455 (shipped in 1.2.0).

* Python: raise agent-framework-gemini lower bound to google-genai>=1.65.0

The Gemini chat client references several `google.genai.types` symbols
(`FileSearch`, `ThinkingLevel`, `SearchTypes`, `McpServer`,
`StreamableHttpTransport`, plus call-site keyword args `mcp_servers` and
`search_types`) that are not present at the lower bound of `google-genai>=1.0.0`.
At `lowest-direct` resolution this caused `validate-dependency-bounds-test` to
fail for `packages/gemini` with eleven `reportAttributeAccessIssue` /
`reportUnknownVariableType` errors.

Walking the upstream `google.genai.types` API:
- `GoogleMaps`, `AuthConfig`: present from 1.40.0
- `FileSearch`: introduced in 1.49.0
- `ThinkingLevel`: introduced in 1.55.0
- `SearchTypes`, `McpServer`, `StreamableHttpTransport`: introduced in 1.65.0

Bump the lower bound to 1.65.0 — the minimum version that exposes every symbol
the package actually uses. Keep the `<2.0.0` upper cap unchanged. With this
bump `validate-dependency-bounds-test` passes for both lower and upper
resolution scenarios across all 27 workspace packages.

Latent since #4847 (Gemini package introduction in 1.1.0); aggravated by
subsequent feature additions that pulled in newer `types.*` symbols.

* Python: add dependabot bumps to 1.2.1 CHANGELOG

Catalog the 15 dependabot dependency updates that merged on `upstream/main`
between python-1.2.0 and the 1.2.1 cut window under a new Changed section:

- Workspace dev/runtime deps: `rich`, `prek`, `python-multipart`, `pyasn1`,
  `pytest` (ag-ui, devui, lab), `uv` (lab)
- Frontend deps: `vite` (devui, chatkit), `postcss` (devui, chatkit, handoff),
  `picomatch` (devui, handoff)

CHANGELOG-only — no source or pyproject.toml changes. PRs themselves merged
upstream independently of this release branch and will be brought in via the
PR merge.
3a463b8bf6 · 2026-04-28 18:23:26 +09:00
History
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Get Started with Microsoft Agent Framework Durable Functions

PyPI

Please install this package via pip:

pip install agent-framework-azurefunctions --pre

Durable Agent Extension

The durable agent extension lets you host Microsoft Agent Framework agents on Azure Durable Functions so they can persist state, replay conversation history, and recover from failures automatically.

Basic Usage Example

See the durable functions integration sample in the repository to learn how to:

from agent_framework.azure import AgentFunctionApp

_app = AgentFunctionApp()
  • Register agents with AgentFunctionApp
  • Post messages using the generated /api/agents/{agent_name}/run endpoint

For more details, review the Python README and the samples directory.