Python: Documentation updates (#538)

* Added README for each sample sub-folder

* More documentation updates
This commit is contained in:
Dmytro Struk
2025-08-28 11:54:06 -07:00
committed by GitHub
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parent ea7cff16ce
commit 6a00c9d026
12 changed files with 265 additions and 35 deletions
@@ -1,20 +1,17 @@
# Foundry Chat Client Examples
# Foundry Agent Examples
This folder contains examples demonstrating different ways to use the `FoundryChatClient` from the `agent_framework.foundry` package.
This folder contains examples demonstrating different ways to create and use agents with the Foundry chat client from the `agent_framework.foundry` package.
## Examples
### 1. `foundry_basic.py`
The simplest way to use FoundryChatClient. It automatically handles all configuration using environment variables.
### 2. `foundry_with_explicit_settings.py`
Shows how to explicitly configure the FoundryChatClient with custom settings, including project endpoint, model deployment, credentials, and agent name.
### 3. `foundry_with_existing_client.py`
Demonstrates how to use an existing `AIProjectClient` instance with FoundryChatClient, giving you more control over the underlying Azure AI client.
### 4. `foundry_with_existing_agent.py`
Shows how to work with a pre-existing agent by providing the agent ID to FoundryChatClient. This example also demonstrates proper cleanup of manually created agents.
| File | Description |
|------|-------------|
| [`foundry_basic.py`](foundry_basic.py) | The simplest way to create an agent using `ChatClientAgent` with `FoundryChatClient`. It automatically handles all configuration using environment variables. |
| [`foundry_with_explicit_settings.py`](foundry_with_explicit_settings.py) | Shows how to create an agent with explicitly configured `FoundryChatClient` settings, including project endpoint, model deployment, credentials, and agent name. |
| [`foundry_with_existing_agent.py`](foundry_with_existing_agent.py) | Shows how to work with a pre-existing agent by providing the agent ID to the Foundry chat client. This example also demonstrates proper cleanup of manually created agents. |
| [`foundry_with_function_tools.py`](foundry_with_function_tools.py) | Demonstrates how to use function tools with agents. Shows both agent-level tools (defined when creating the agent) and query-level tools (provided with specific queries). |
| [`foundry_with_code_interpreter.py`](foundry_with_code_interpreter.py) | Shows how to use the HostedCodeInterpreterTool with Foundry agents to write and execute Python code. Includes helper methods for accessing code interpreter data from response chunks. |
| [`foundry_with_thread.py`](foundry_with_thread.py) | Demonstrates thread management with Foundry agents, including automatic thread creation for stateless conversations and explicit thread management for maintaining conversation context across multiple interactions. |
## Environment Variables
@@ -22,23 +19,3 @@ Make sure to set the following environment variables before running the examples
- `FOUNDRY_PROJECT_ENDPOINT`: Your Azure AI Foundry project endpoint
- `FOUNDRY_MODEL_DEPLOYMENT_NAME`: The name of your model deployment
## Running the Examples
Each example can be run independently:
```bash
# Run the basic example
python samples/getting_started/agents/foundry/foundry_basic.py
# Run the explicit settings example
python samples/getting_started/agents/foundry/foundry_with_explicit_settings.py
# Run the existing client example
python samples/getting_started/agents/foundry/foundry_with_existing_client.py
# Run the existing agent example
python samples/getting_started/agents/foundry/foundry_with_existing_agent.py
```
All examples use the same weather tool function that returns mock weather data.