foundry-config-setup

## Usage Some samples (notably those under `01-get-started`) hardcode the Foundry project endpoint and model directly in the `FoundryChatClient` constructor using placeholder values, for example: ```python client = FoundryChatClient( project_endpoint="https://your-project.services.ai.azure.com", model="gpt-4o", credential=AzureCliCredential(), ) ``` These placeholder values are not real and the sample cannot run as written. The validation environment provides the real values through environment variables, so the sample must read them from the environment instead. When you detect a hardcoded/placeholder `project_endpoint` (or `model`) that is causing the sample to fail with missing or invalid setup: 1. Replace the hardcoded `project_endpoint` value with a read from the `FOUNDRY_PROJECT_ENDPOINT` environment variable. 2. Replace the hardcoded `model` value with a read from the `FOUNDRY_MODEL` environment variable. 3. Ensure `import os` is present at the top of the file. The corrected constructor should look like: ```python import os client = FoundryChatClient( project_endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], model=os.environ["FOUNDRY_MODEL"], credential=AzureCliCredential(), ) ``` These samples are intentionally written with hardcoded placeholders, so this is expected setup—not a defect in the sample. After applying the change, re-run the sample and report the result as a `success` if it now runs.