agent-framework-declarative
Declarative specification support for Microsoft Agent Framework.
Decision gist · record as of 2026-08-14
Yes, if you are building agents within Microsoft's Agent Framework ecosystem and want YAML-based configuration. The stable workflow tier is production-ready, and the package has low install friction and active maintenance. However, avoid the experimental AgentFactory and YAML agent loading APIs in production code until they stabilize, as they carry no backward-compatibility guarantee.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later.
- Experimental agent loading APIs emit ExperimentalWarning and may break in future releases.
- Low install friction with a pure Python wheel.
License · maintenance · safety
permissive license (permissive) — MIT license permits commercial and private use with minimal restrictions; permissive treatment means you can integrate freely into most projects.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 12,804 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 478,657 downloads/mo, #6,436 on PyPI
Alternatives
Verify before relying
pip install agent-framework-declarative
from agent_framework_declarative import WorkflowFactory
workflow = WorkflowFactory.create(spec)
result = workflow.execute()- Stability guarantees for the experimental AgentFactory and YAML agent loading path beyond the ExperimentalWarning
- Performance characteristics when loading large or complex YAML agent specifications
- Compatibility matrix with specific versions of agent-framework-core and powerfx
What it is and what it does
This package adds declarative YAML-based specification support to Microsoft's Agent Framework, letting you define agents and workflows in configuration files rather than pure Python code. It wraps agent-framework-core with a higher-level abstraction layer and depends on httpx for HTTP operations, powerfx for formula evaluation, and pyyaml for parsing specifications.
The package splits its API into two stability tiers: WorkflowFactory and related workflow execution surfaces are production-ready, while AgentFactory and the YAML agent loading path are experimental and may change without notice—the package emits ExperimentalWarning when you use those symbols. This split means you can rely on declarative workflows in production but should treat agent configuration loading as subject to breaking changes.
Use it for
- Define multi-step agent workflows in YAML and execute them without writing orchestration code
- Build agents with declarative configuration for easier version control and non-programmer configuration
- Prototype agent behavior by editing YAML specifications and reloading without code changes
- Integrate HTTP-based services into agent workflows using httpx under the hood
- Evaluate dynamic formulas within agent workflows using powerfx expressions
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building agents within Microsoft's Agent Framework ecosystem and want YAML-based configuration.
The stable workflow tier is production-ready, and the package has low install friction and active maintenance. However, avoid the experimental AgentFactory and YAML agent loading APIs in production code until they stabilize, as they carry no backward-compatibility guarantee.
Install
agent-framework-declarative on PyPI
Before you install
Low install friction with a pure Python wheel. Active maintenance as of 2026-08-14 with recent release. Depends on agent-framework-core, httpx, powerfx, and pyyaml.
Requires Python 3.10 or later. Experimental agent loading APIs emit ExperimentalWarning and may break in future releases.
License in practice
MIT license permits commercial and private use with minimal restrictions; permissive treatment means you can integrate freely into most projects.
Quickstart
pip install agent-framework-declarative
from agent_framework_declarative import WorkflowFactory
workflow = WorkflowFactory.create(spec)
result = workflow.execute()Verify before relying
- Stability guarantees for the experimental AgentFactory and YAML agent loading path beyond the ExperimentalWarning
- Performance characteristics when loading large or complex YAML agent specifications
- Compatibility matrix with specific versions of agent-framework-core and powerfx
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesagent-framework-corehttpxpowerfxpyyaml |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 478,657 / month, #6,436 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Typing :: Typed |
Evidence: agent_framework_declarative-1.0.2-py3-none-any.whl
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See also agent-framework-foundry · regopy · agent-framework-foundry-local · agent-framework-ollama · agent-framework-orchestrations · agent-framework-lab · agent-framework-claude · agent-framework-devui · strands-agents-builder · datacontract-specification