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agent-framework/python/packages/durabletask/tests/integration_tests/README.md
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Eduard van Valkenburg 6acab3d1d6 Python: [BREAKING] Standardize model selection on model (#4999)
* Refactor Anthropic model option and provider clients

Rename the Anthropic client model option from model_id to model, add provider-specific Anthropic wrappers for Foundry, Bedrock, and Vertex, and expose them through the Anthropic, Foundry, Amazon, and Google namespaces. Update core option handling, docs, samples, and tests accordingly.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Fix Anthropic skills sample typing

Cast the Anthropic beta client to Any in the skills sample so the pre-commit sample pyright check no longer fails on beta skills and files endpoints that are not exposed by the current SDK stubs.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* undo sample mypy

* Retry CI after transient external failures

Retrigger PR validation after an unrelated Copilot review workflow SAML failure and a transient external tau2 git fetch failure in the Windows Python test setup.

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address review feedback on model option merging

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Address Anthropic compatibility review feedback

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* moved all to `model`

* fixes for azure ai search

* Python: standardize remaining sample env var names

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: fix foundry-local pyright compatibility

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* updated env vars in cicd

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
2026-04-01 19:00:18 +00:00

3.0 KiB

Sample Integration Tests

Integration tests that validate the Durable Agent Framework samples by running them against a Durable Task Scheduler (DTS) instance.

Setup

1. Create .env file

Copy .env.example to .env and fill in your Azure credentials:

cp .env.example .env

Required variables:

  • AZURE_OPENAI_ENDPOINT
  • AZURE_OPENAI_MODEL
  • AZURE_OPENAI_API_KEY (optional if using Azure CLI authentication)
  • ENDPOINT (default: http://localhost:8080)
  • TASKHUB (default: default)

Optional variables (for streaming tests):

  • REDIS_CONNECTION_STRING (default: redis://localhost:6379)
  • REDIS_STREAM_TTL_MINUTES (default: 10)

2. Start required services

Durable Task Scheduler:

docker run -d --name dts-emulator -p 8080:8080 -p 8082:8082 mcr.microsoft.com/dts/dts-emulator:latest
  • Port 8080: gRPC endpoint (used by tests)
  • Port 8082: Web dashboard (optional, for monitoring)

Redis (for streaming tests):

docker run -d --name redis -p 6379:6379 redis:latest
  • Port 6379: Redis server endpoint

Running Tests

The tests automatically start and stop worker processes for each sample.

Run all sample tests

uv run pytest packages/durabletask/tests/integration_tests -v

Run specific sample

uv run pytest packages/durabletask/tests/integration_tests/test_01_single_agent.py -v

Run with verbose output

uv run pytest packages/durabletask/tests/integration_tests -sv

How It Works

Each test file uses pytest markers to automatically configure and start the worker process:

pytestmark = [
    pytest.mark.sample("03_single_agent_streaming"),
    pytest.mark.integration_test,
    pytest.mark.requires_azure_openai,
    pytest.mark.requires_dts,
    pytest.mark.requires_redis,
]

Troubleshooting

Tests are skipped: Ensure the required environment variables (e.g., AZURE_OPENAI_ENDPOINT) are set in your .env file.

DTS connection failed: Check that the DTS emulator container is running: docker ps | grep dts-emulator

Redis connection failed: Check that Redis is running: docker ps | grep redis

Missing environment variables: Ensure your .env file contains all required variables from .env.example.

Tests timeout: Check that Azure OpenAI credentials are valid and the service is accessible.

If you see "DTS emulator is not available":

  • Ensure Docker container is running: docker ps | grep dts-emulator
  • Check port 8080 is not in use by another process
  • Restart the container if needed

Azure OpenAI Errors

If you see authentication or deployment errors:

  • Verify your AZURE_OPENAI_ENDPOINT is correct
  • Confirm AZURE_OPENAI_MODEL matches your deployment
  • If using API key, check AZURE_OPENAI_API_KEY is valid
  • If using Azure CLI, ensure you're logged in: az login

CI/CD

For automated testing in CI/CD pipelines:

  1. Use Docker Compose to start DTS emulator
  2. Set environment variables via CI/CD secrets
  3. Run tests with appropriate markers: pytest -m integration_test