Files
agent-framework/python/packages/azurefunctions
T
chetantoshniwal 632f67b92e Python: [Generated by SRE Agent] docs: clarify checkpoint storage security model and deserialization trust boundaries (#6295)
* docs: clarify checkpoint storage security model and deserialization trust boundaries

Add Security Model documentation sections to the checkpoint encoding and
Azure Functions serialization modules explaining:
- Checkpoint storage is a trusted data source requiring access controls
- The RestrictedUnpickler allowlist is defense-in-depth, not a security boundary
- Developer responsibilities for securing storage backends
- Guidance on using allowed_types and strip_pickle_markers

Co-authored-by: Azure SRE Agent <noreply@microsoft.com>

* Apply suggestions from code review

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

---------

Co-authored-by: Azure SRE Agent <noreply@microsoft.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
632f67b92e ยท 2026-06-09 16:53:48 +00:00
History
..

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.