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Port details
py-azure-ai-projects Microsoft Azure AI Projects Client Library for Python
1.0.0 develnew! on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout Package not present on quarterly.This port was created during this quarter. It will be in the next quarterly branch but not the current one.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2026-01-15 12:00:25
Last Update: 2026-01-15 11:52:59
Commit Hash: bde8ef4
Also Listed In: python
License: MIT
WWW:
https://azure.github.io/azure-sdk-for-python/
https://github.com/Azure/azure-sdk-for-python/tree/main/sdk/ai/azure-ai-projects
https://github.com/Azure/azure-sdk-for-python
Description:
The AI Projects client library (in preview) is part of the Microsoft Foundry SDK, and provides easy access to resources in your Microsoft Foundry Project. Use it to: - Create and run Agents using methods on methods on the .agents client property. - Enhance Agents with specialized tools: - Get an OpenAI client using .get_openai_client() method to run Responses, Conversations, Evals and FineTuning operations with your Agent. - Manage memory stores for Agent conversations, using the .memory_stores operations. - Explore additional evaluation tools to assess the performance of your generative AI application, using the .evaluation_rules, .evaluation_taxonomies, .evaluators, .insights, and .schedules operations. - Run Red Team scans to identify risks associated with your generative AI application, using the ".red_teams" operations. - Fine tune AI Models on your data. - Enumerate AI Models deployed to your Foundry Project using the .deployments operations. - Enumerate connected Azure resources in your Foundry project using the .connections operations. - Upload documents and create Datasets to reference them using the .datasets operations. - Create and enumerate Search Indexes using methods the .indexes operations.
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Manual pages:
FreshPorts has no man page information for this port.
pkg-plist: as obtained via: make generate-plist
There is no configure plist information for this port.
USE_RC_SUBR (Service Scripts)
  • no SUBR information found for this port
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}azure-ai-projects>0:devel/py-azure-ai-projects@${PY_FLAVOR}
To install the port:
cd /usr/ports/devel/py-azure-ai-projects/ && make install clean
To add the package, run one of these commands:
  • pkg install devel/py-azure-ai-projects
  • pkg install py311-azure-ai-projects
NOTE: If this package has multiple flavors (see below), then use one of them instead of the name specified above.
NOTE: This is a Python port. Instead of py311-azure-ai-projects listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py311-azure-ai-projects
Package flavors (<flavor>: <package>)
  • py311: py311-azure-ai-projects
distinfo:
TIMESTAMP = 1768283062 SHA256 (azure_ai_projects-1.0.0.tar.gz) = b5f03024ccf0fd543fbe0f5abcc74e45b15eccc1c71ab87fc71c63061d9fd63c SIZE (azure_ai_projects-1.0.0.tar.gz) = 130798

No package information for this port in our database
Sometimes this happens. Not all ports have packages. Perhaps there is a build error. Check the fallout link: pkg-fallout
Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py311-setuptools>=0 : devel/py-setuptools@py311
  2. py311-wheel>=0 : devel/py-wheel@py311
  3. python3.11 : lang/python311
  4. py311-build>=0 : devel/py-build@py311
  5. py311-installer>=0 : devel/py-installer@py311
Test dependencies:
  1. python3.11 : lang/python311
Runtime dependencies:
  1. py311-azure-ai-agents>=1.0.0 : devel/py-azure-ai-agents@py311
  2. py311-azure-core>=1.30.0 : devel/py-azure-core@py311
  3. py311-azure-storage-blob>=12.15.0 : devel/py-azure-storage-blob@py311
  4. py311-isodate>=0.6.1 : devel/py-isodate@py311
  5. py311-typing-extensions>=4.12.2 : devel/py-typing-extensions@py311
  6. python3.11 : lang/python311
There are no ports dependent upon this port

Configuration Options:
No options to configure
Options name:
devel_py-azure-ai-projects
USES:
python
FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/a/azure_ai_projects/
  2. https://pypi.org/packages/source/a/azure_ai_projects/
Collapse this list.

Number of commits found: 1

Commit History - (may be incomplete: for full details, see links to repositories near top of page)
CommitCreditsLog message
1.0.0
15 Jan 2026 11:52:59
commit hash: bde8ef449551794793ea8a80dbce367b94ba9851commit hash: bde8ef449551794793ea8a80dbce367b94ba9851commit hash: bde8ef449551794793ea8a80dbce367b94ba9851commit hash: bde8ef449551794793ea8a80dbce367b94ba9851 files touched by this commit
Po-Chuan Hsieh (sunpoet) search for other commits by this committer
devel/py-azure-ai-projects: Add py-azure-ai-projects 1.0.0

The AI Projects client library (in preview) is part of the Microsoft Foundry
SDK, and provides easy access to resources in your Microsoft Foundry Project.
Use it to:
- Create and run Agents using methods on methods on the .agents client property.
- Enhance Agents with specialized tools:
- Get an OpenAI client using .get_openai_client() method to run Responses,
  Conversations, Evals and FineTuning operations with your Agent.
- Manage memory stores for Agent conversations, using the .memory_stores
  operations.
- Explore additional evaluation tools to assess the performance of your
  generative AI application, using the .evaluation_rules,
  .evaluation_taxonomies, .evaluators, .insights, and .schedules operations.
- Run Red Team scans to identify risks associated with your generative AI
  application, using the ".red_teams" operations.
- Fine tune AI Models on your data.
- Enumerate AI Models deployed to your Foundry Project using the .deployments
  operations.
- Enumerate connected Azure resources in your Foundry project using the
  .connections operations.
- Upload documents and create Datasets to reference them using the .datasets
  operations.
- Create and enumerate Search Indexes using methods the .indexes operations.

Number of commits found: 1