locust-sse 0.3.0

A Locust user subclass for testing Server-Sent Events (SSE) endpoints.

Locust SSE User

A Locust plugin for testing Server-Sent Events (SSE) endpoints, specifically designed for LLM streaming response benchmarking.

Installation

You can install this package using uv (recommended) or pip.

Using uv

uv add locust-sse

Using pip

pip install locust-sse

Usage

Inherit from SSEUser in your locustfile.py and use the handle_sse_request method to make SSE requests.

from locust import task
from locust_sse import SSEUser

class MyLLMUser(SSEUser):
    # Set the host for the user
    host = "http://localhost:8080"

    @task
    def chat(self):
        # Example payload for a chat completion endpoint
        payload = {
            "model": "gpt-4",
            "messages": [
                {"role": "user", "content": "Tell me a joke."}
            ],
            "stream": True
        }

        # Make the SSE request
        self.handle_sse_request(
            url="/chat/completions",
            params={"json": payload},
            prompt="Tell me a joke.",
            request_name="chat_completion"
        )

Metrics

This plugin automatically tracks specific metrics relevant to LLM streaming performance and reports them to Locust.

Metric	Description
TTFT	Time To First Token. Measures the latency from the start of the request until the first "append" event is received.
Prompt Tokens	Number of tokens in the input prompt (estimated).
Completion Tokens	Number of tokens in the generated response (estimated).
Processing Time	Total time taken for the entire generation process.

How Metrics Appear in Locust

These metrics are reported as separate entries in the Locust statistics table:

• {request_name}_ttft: Latency statistics for the first token.
• {request_name}_prompt_tokens: "Response Length" column shows token count.
• {request_name}_completion_tokens: "Response Length" column shows token count.
• {request_name}: The main request entry showing total duration.

Development

This project uses uv for dependency management.

# Install dependencies
uv sync

# Run tests
uv run pytest

License

This project is licensed under the MIT License - see the LICENSE file for details.