| Port details |
- py-azure-ai-projects Microsoft Azure AI Projects Client Library for Python
- 2.3.0 devel
 =0      2.1.0Version of this port present on the latest quarterly branch. - Maintainer: sunpoet@FreeBSD.org
- Port Added: 2026-01-15 12:00:25
- Last Update: 2026-07-11 12:21:01
- Commit Hash: 4fd7603
- 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.
  ¦  ¦  ¦  ¦ 
- 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 py312-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 py312-azure-ai-projects listed in the above command, you can pick from the names under the Packages section.- PKGNAME: py312-azure-ai-projects
- Package flavors (<flavor>: <package>)
- py312: py312-azure-ai-projects
- distinfo:
- TIMESTAMP = 1783564026
SHA256 (azure_ai_projects-2.3.0.tar.gz) = 6e3006b7b8aa51c6ff9db61ef4aac3717f8a712cd1a183d5a1d34e2eb33450bd
SIZE (azure_ai_projects-2.3.0.tar.gz) = 27563233
Packages (timestamps in pop-ups are UTC):
- Dependencies
- NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
- Build dependencies:
-
- py312-setuptools>=61 : devel/py-setuptools@py312
- py312-wheel>=0 : devel/py-wheel@py312
- python3.12 : lang/python312
- py312-build>=0 : devel/py-build@py312
- py312-installer>=0 : devel/py-installer@py312
- Test dependencies:
-
- python3.12 : lang/python312
- Runtime dependencies:
-
- py312-azure-core>=1.37.0 : devel/py-azure-core@py312
- py312-azure-identity>=1.15.0 : devel/py-azure-identity@py312
- py312-azure-storage-blob>=12.15.0 : devel/py-azure-storage-blob@py312
- py312-isodate>=0.6.1 : devel/py-isodate@py312
- py312-openai>=2.8.0 : misc/py-openai@py312
- py312-typing-extensions>=4.11 : devel/py-typing-extensions@py312
- python3.12 : lang/python312
- This port is required by:
- for Run
-
- sysutils/py-azure-cli
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:
|
| Commit History - (may be incomplete: for full details, see links to repositories near top of page) |
| Commit | Credits | Log message |
|---|
2.3.0
11 Jul 2026 12:21:01
 |
Po-Chuan Hsieh (sunpoet) |
devel/py-azure-ai-projects: Update to 2.3.0
Changes: https://github.com/Azure/azure-sdk-for-python/releases
https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/CHANGELOG.md |
2.2.0
08 Jul 2026 13:31:11
|
Po-Chuan Hsieh (sunpoet) |
devel/py-azure-ai-projects: Update to 2.2.0
Changes: https://github.com/Azure/azure-sdk-for-python/releases
https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/CHANGELOG.md |
2.1.0
22 Apr 2026 12:59:26
|
Po-Chuan Hsieh (sunpoet) |
devel/py-azure-ai-projects: Update to 2.1.0
Changes: https://github.com/Azure/azure-sdk-for-python/releases
https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/CHANGELOG.md |
1.0.0
15 Jan 2026 11:52:59
|
Po-Chuan Hsieh (sunpoet) |
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. |
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