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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file with only comment path updates (100 files) - One import-fix diff (workflow_as_agent_human_in_the_loop.py) - One superseded minimal_sample.py Resource files (sample.pdf, countries.json, employees.pdf, weather.json) copied to 02-agents/sample_assets/ and 02-agents/resources/ since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
101 lines
3.5 KiB
Markdown
101 lines
3.5 KiB
Markdown
# Microsoft Agent Framework Python Weather Agent sample (M365 Agents SDK)
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This sample demonstrates a simple Weather Forecast Agent built with the Python Microsoft Agent Framework, exposed through the Microsoft 365 Agents SDK compatible endpoints. The agent accepts natural language requests for a weather forecast and responds with a textual answer. It supports multi-turn conversations to gather required information.
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## Prerequisites
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- Python 3.11+
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- [uv](https://github.com/astral-sh/uv) for fast dependency management
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- [devtunnel](https://learn.microsoft.com/azure/developer/dev-tunnels/get-started?tabs=windows)
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- [Microsoft 365 Agents Toolkit](https://github.com/OfficeDev/microsoft-365-agents-toolkit) for playground/testing
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- Access to OpenAI or Azure OpenAI with a model like `gpt-4o-mini`
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## Configuration
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Set the following environment variables:
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```bash
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# Common
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export PORT=3978
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export USE_ANONYMOUS_MODE=True # set to false if using auth
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# OpenAI
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export OPENAI_API_KEY="..."
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export OPENAI_CHAT_MODEL_ID="..."
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```
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## Installing Dependencies
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From the repository root or the sample folder:
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```bash
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uv sync
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```
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## Running the Agent Locally
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```bash
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# Activate environment first if not already
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source .venv/bin/activate # (Windows PowerShell: .venv\Scripts\Activate.ps1)
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# Run the weather agent demo
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python m365_agent_demo/app.py
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```
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The agent starts on `http://localhost:3978`. Health check: `GET /api/health`.
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## QuickStart using Agents Playground
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1. Install (if not already):
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```bash
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winget install agentsplayground
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```
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2. Start the Python agent locally: `python m365_agent_demo/app.py`
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3. Start the playground: `agentsplayground`
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4. Chat with the Weather Agent.
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## QuickStart using WebChat (Azure Bot)
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To test via WebChat you can provision an Azure Bot and point its messaging endpoint to your agent.
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1. Create an Azure Bot (choose Client Secret auth for local tunneling).
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2. Create a `.env` file in this sample folder with the following (replace placeholders):
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```bash
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# Authentication / Agentic configuration
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USE_ANONYMOUS_MODE=False
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CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTID="<client-id>"
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CONNECTIONS__SERVICE_CONNECTION__SETTINGS__CLIENTSECRET="<client-secret>"
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CONNECTIONS__SERVICE_CONNECTION__SETTINGS__TENANTID="<tenant-id>"
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CONNECTIONS__SERVICE_CONNECTION__SETTINGS__SCOPES=https://graph.microsoft.com/.default
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AGENTAPPLICATION__USERAUTHORIZATION__HANDLERS__AGENTIC__SETTINGS__TYPE=AgenticUserAuthorization
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AGENTAPPLICATION__USERAUTHORIZATION__HANDLERS__AGENTIC__SETTINGS__SCOPES=https://graph.microsoft.com/.default
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AGENTAPPLICATION__USERAUTHORIZATION__HANDLERS__AGENTIC__SETTINGS__ALTERNATEBLUEPRINTCONNECTIONNAME=https://graph.microsoft.com/.default
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```
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3. Host dev tunnel:
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```bash
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devtunnel host -p 3978 --allow-anonymous
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```
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4. Set the bot Messaging endpoint to: `https://<tunnel-host>/api/messages`
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5. Run your local agent: `python m365_agent_demo/app.py`
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6. Use "Test in WebChat" in Azure Portal.
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> Federated Credentials or Managed Identity auth types typically require deployment to Azure App Service instead of tunneling.
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## Troubleshooting
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- 404 on `/api/messages`: Ensure you are POSTing and using the correct tunnel URL.
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- Empty responses: Check model key / quota and ensure environment variables are set.
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- Auth errors when anonymous disabled: Validate MSAL config matches your Azure Bot registration.
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## Further Reading
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- [Microsoft 365 Agents SDK](https://learn.microsoft.com/microsoft-365/agents-sdk/)
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- [Devtunnel docs](https://learn.microsoft.com/azure/developer/dev-tunnels/)
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