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Tao Chen
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* Python: Wrapper + Samples 1st (#5177) * Experiment * Update dependency and add non streaming * Add more samples * Rename samples * Add invocations * Comments 1 * Comments 2 * Comments 3 * Improve README * Add local shell sample * WIP: Add eval and memory samples * Update user agent prefix * Update user agent prefix doc * Update dependency (#5215) * Add tests and more content types (#5235) * Add tests * fix tests and sample * Fix formatting * Remove function approval contents * Python: Refine samples and upgrade packages (#5261) * Refine samples and upgrade pacakges * Upgrade to a new package that fixes a bug * Update model env var * Move samples (#5281) * Python: Upgrade agentserver packages (#5284) * Upgrade agentserver packages * Fix new types * Python: Add special handling for workflows (#5298) * Add special handling for workflows * Address comments * Improve samples (#5372) * Python: Add more types (#5378) * Add more type supports * Upgrade packages * Remove TODOs in README * Fix README * Comments and mypy * User agent scoped * Fix README * Fix pre commit * Fix pre commit 2 * Fix pre commit 3 * Fix pre commit 4 * Fix pre commit 5 * Fix pre commit 6 * Add azure-monitor-opentelemetry to dev deps Fixes Samples & Markdown CI failure. The PR's new transitive dep on azure-monitor-opentelemetry-exporter (via azure-ai-agentserver-core) makes pyright resolve the azure.monitor.opentelemetry namespace, flipping the check_md_code_blocks diagnostic for `configure_azure_monitor` from reportMissingImports (filtered) to reportAttributeAccessIssue (not filtered). Installing the umbrella azure-monitor-opentelemetry package in dev makes pyright resolve the symbol correctly, matching the install guidance the observability README already gives users. --------- Co-authored-by: Evan Mattson <evan.mattson@microsoft.com>
57 lines
1.5 KiB
Markdown
57 lines
1.5 KiB
Markdown
# Foundry Hosted Agents Samples
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This directory contains samples that demonstrate how to use the Agent Framework to host agents on Foundry with different capabilities and configurations. Each sample includes a README with instructions on how to set up, run, and interact with the agent.
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Read more about Foundry Hosted Agents [here](https://learn.microsoft.com/en-us/azure/foundry/agents/concepts/hosted-agents).
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## Environment setup
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1. Navigate to the sample directory you want to run. For example:
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```bash
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python -m venv .venv
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# Windows
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.venv\Scripts\Activate
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# macOS/Linux
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source .venv/bin/activate
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```
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2. Install dependencies:
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```bash
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pip install -r requirements.txt
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```
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3. Create a `.env` file with your Foundry configuration following the `env.example` file in the sample.
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4. Make sure you are logged in with the Azure CLI:
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```bash
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az login
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```
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## Deploying to a Docker container
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Navigate to the sample directory and build the Docker image:
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```bash
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docker build -t hosted-agent-sample .
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```
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Run the container, passing in the required environment variables:
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```bash
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docker run -p 8088:8088 \
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-e FOUNDRY_PROJECT_ENDPOINT=<your-endpoint> \
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-e MODEL_DEPLOYMENT_NAME=<your-model> \
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hosted-agent-sample
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```
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The server will be available at `http://localhost:8088`. You can send requests using the same `curl` command shown above.
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## Deploying to Foundry
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Follow this [guide](https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/deploy-hosted-agent?tabs=bash#configure-your-agent) to deploy your agent to Foundry.
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