E2E Testing

End-to-end tests run a real LLM agent connected to the Falcon MCP Server to validate full tool-call workflows from natural language prompts.

Configuration

Copy the development example file:

cp .env.dev.example .env

Then configure the E2E testing variables:

# Required
FALCON_CLIENT_ID=your-client-id
FALCON_CLIENT_SECRET=your-client-secret

# Optional (defaults to US-1)
FALCON_BASE_URL=https://api.crowdstrike.com

# API key for OpenAI or compatible API
OPENAI_API_KEY=your-api-key

# Optional: Custom base URL (for VPN-only or custom endpoints)
OPENAI_BASE_URL=https://your-custom-llm-endpoint.com/v1

# Optional: Comma-separated list of models to test against
MODELS_TO_TEST=example-model-1,example-model-2

Running E2E Tests

E2E tests require the --run-e2e flag:

uv run pytest --run-e2e tests/e2e/

uv run pytest --run-e2e tests/e2e/test_mcp_server.py::TestFalconMCPServerE2E::test_get_top_3_high_severity_detections

Verbosity Levels

uv run pytest --run-e2e -s tests/e2e/

uv run pytest --run-e2e -v -s tests/e2e/

uv run pytest --run-e2e -vv -s tests/e2e/

Retry Logic

Each test runs multiple times against different models and passes if a threshold percentage succeeds. Defaults in tests/e2e/utils/base_e2e_test.py:

DEFAULT_MODELS_TO_TEST = ["gpt-4.1-mini", "gpt-4o-mini"]
DEFAULT_RUNS_PER_TEST = 2
DEFAULT_SUCCESS_THRESHOLD = 0.7  # 70% of runs must pass

Override with environment variables:

Variable	Description
`MODELS_TO_TEST`	Comma-separated model list
`RUNS_PER_TEST`	Number of runs per test
`SUCCESS_THRESHOLD`	Minimum pass rate (0.0–1.0)

Troubleshooting

Not seeing any output?

# CORRECT: shows detailed output
uv run pytest --run-e2e -v -s tests/e2e/

# INCORRECT: no output visible
uv run pytest --run-e2e -v tests/e2e/

Using a custom LLM endpoint:

OPENAI_BASE_URL=https://your-endpoint.com/v1 uv run pytest --run-e2e -s tests/e2e/

Diagnosing failures: Use -vv -s to see complete prompt/response content and step-by-step agent execution.