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Eduard van Valkenburg
a2856d3b92
* restructure: Python samples into progressive 01-05 layout - 01-get-started/: 6 numbered steps (hello agent → hosting) - 02-agents/: all agent concept samples (tools, middleware, providers, etc.) - 03-workflows/: ALL existing workflow samples preserved as-is - 04-hosting/: azure-functions, durabletask, a2a - 05-end-to-end/: demos, evaluation, hosted agents - Old files moved to _to_delete/ for review - Added AGENTS.md with structure documentation - autogen-migration/ and semantic-kernel-migration/ preserved at root * fix: switch to AzureOpenAI Foundry, fix CI failures - Switch all 01-get-started samples to AzureOpenAIResponsesClient with Azure AI Foundry project endpoint (AZURE_AI_PROJECT_ENDPOINT + AZURE_OPENAI_RESPONSES_DEPLOYMENT_NAME + AzureCliCredential) - Add _to_delete/ and 05-end-to-end/ to pyrightconfig.samples.json excludes - Fix test paths in packages/ that referenced old getting_started/ dirs: durabletask conftest + streaming test, azurefunctions conftest, devui conftest + capture_messages + openai_sdk_integration - Fix workflow_as_agent_human_in_the_loop.py import (sibling import) - Update hosting READMEs and tool comment paths - Replace root README.md with new structure overview - Update AGENTS.md to document Azure OpenAI Foundry as default provider * cleanup: remove _to_delete folder, copy resource files to active dirs All files in _to_delete/ were either: - Exact duplicates of files in the new structure (240 files) - Same file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since active samples reference them. * fix: address PR review comments, centralize resources, remove root duplicates - Fix type annotation in 04_memory.py (string union -> proper types) - Fix old sample paths in observability files - Fix grammar/spelling in observability samples - Move sample_assets/ and resources/ to shared/ folder - Remove 8 duplicate observability files from 02-agents root - Update resource path references in multimodal_input and provider samples * fix: update broken links from old getting_started paths to new structure - Update relative paths in READMEs: getting_started/ → 01-get-started/, 02-agents/, 03-workflows/, 04-hosting/, 05-end-to-end/ - Fix absolute GitHub URLs in package READMEs - Fix broken link in ollama package README * fix: convert absolute GitHub URLs to relative paths for link checker Absolute URLs to python/samples/ on main branch 404 until PR merges. Converted to relative paths that linkspector can verify locally. * fix: update link for handoff sample moved to orchestrations/ * fix: update chatkit-integration README path from demos/ to 05-end-to-end/ * fix: update broken links in orchestrations README to match flat directory structure
a2856d3b92
·
2026-02-12 17:36:36 +00:00
History
Marketing Copy Workflow
This sample demonstrates a sequential multi-agent pipeline for generating marketing copy from a product description.
Overview
The workflow showcases:
- Sequential Agent Pipeline: Three agents work in sequence, each building on the previous output
- Role-Based Agents: Each agent has a distinct responsibility
- Content Transformation: Raw product info transforms into polished marketing copy
Agent Pipeline
Product Description
|
v
AnalystAgent --> Key features, audience, USPs
|
v
WriterAgent --> Draft marketing copy
|
v
EditorAgent --> Polished final copy
|
v
Final Output
Agents
| Agent | Role |
|---|---|
| AnalystAgent | Identifies key features, target audience, and unique selling points |
| WriterAgent | Creates compelling marketing copy (~150 words) |
| EditorAgent | Polishes grammar, clarity, tone, and formatting |
Usage
# Run the demonstration with mock responses
python main.py
Example Input
An eco-friendly stainless steel water bottle that keeps drinks cold for 24 hours.
Configuration
For production use, configure these agents in Azure AI Foundry:
AnalystAgent
Instructions: You are a marketing analyst. Given a product description, identify:
- Key features
- Target audience
- Unique selling points
WriterAgent
Instructions: You are a marketing copywriter. Given a block of text describing
features, audience, and USPs, compose a compelling marketing copy (like a
newsletter section) that highlights these points. Output should be short
(around 150 words), output just the copy as a single text block.
EditorAgent
Instructions: You are an editor. Given the draft copy, correct grammar,
improve clarity, ensure consistent tone, give format and make it polished.
Output the final improved copy as a single text block.