Files
wehub-resource-sync e768098d0e
tools_continuous_delivery / Private PyPI non-main branch release (push) Has been skipped
tools_continuous_delivery / Private PyPI main branch release (push) Failing after 2m42s
Publish Promptflow Doc / Build (push) Has been cancelled
Publish Promptflow Doc / Deploy (push) Has been cancelled
Flake8 Lint / flake8 (push) Has been cancelled
Spell check CI / Spell_Check (push) Has been cancelled
chore: import upstream snapshot with attribution
2026-07-13 13:39:52 +08:00

69 lines
2.6 KiB
Markdown

# Migrating from Prompt Flow to Microsoft Agent Framework (MAF)
Prompt Flow is being retired. Feature development ended **20 April 2026**, with full retirement on **20 April 2027**. This repo is a hands-on migration guide with runnable code samples for every step of the move to
[Microsoft Agent Framework 1.0](https://devblogs.microsoft.com/agent-framework/microsoft-agent-framework-version-1-0/)
(GA as of 2 April 2026, Python & .NET).
---
## Who this is for
Teams running Prompt Flow workloads on Microsoft Foundry or Azure Machine Learning who want a structured, low-risk path to MAF.
---
## The 5-Phase Migration Plan
| Phase | What you do | Folder |
|---|---|---|
| **1 — Audit & Map** | Export your PF flow YAML; map every node to its MAF equivalent | [`phase-1-audit/`](./phase-1-audit/) |
| **2 — Rebuild in MAF** | Re-implement the workflow using `WorkflowBuilder` and `Executor` | [`phase-2-rebuild/`](./phase-2-rebuild/) |
| **3 — Validate Parity** | Run PF and MAF side-by-side; score similarity with Azure AI Evaluation SDK | [`phase-3-validate/`](./phase-3-validate/) |
| **4 — Migrate Ops** | Wire up tracing (OTel), deploy as managed online endpoint (Azure ML / AI Foundry), add CI/CD quality gate | [`phase-4-migrate-ops/`](./phase-4-migrate-ops/) |
| **5 — Cut Over** | Switch traffic to MAF; decommission PF endpoints and connections | [`phase-5-cutover/`](./phase-5-cutover/) |
Work through the phases in order. Each folder has its own README with context, prerequisites, and expected outputs.
---
## Prerequisites
- Python 3.10+
- An Azure subscription with:
- Azure OpenAI resource (or Microsoft Foundry project)
- Azure AI Search index (for RAG samples only)
- Application Insights instance (for tracing samples)
- Azure CLI (`az login` completed)
---
## Setup
```bash
git clone https://github.com/shshubhe/promptflow-migration-guide
cd promptflow-migration-guide/migration-guide/PromptFlow-to-MAF
# GA packages
pip install agent-framework>=1.0.1 agent-framework-foundry>=1.0.1
# Preview packages (orchestrations for multi-agent, Azure AI Search for RAG)
pip install agent-framework-orchestrations agent-framework-azure-ai-search --pre
# Remaining dependencies (evaluation, deployment, tracing)
pip install -r requirements.txt
cp .env.example .env # then fill in your values
```
---
## Migrated Examples
See [EXAMPLES.md](./EXAMPLES.md) for a full catalog of migrated flows with links to both the original Prompt Flow and MAF versions.
---
## Next Steps
Start with [Phase 1 — Audit & Map](./phase-1-audit/) to export and map your existing Prompt Flow.