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@@ -85,6 +85,7 @@ Collection of awesome Python resources for testing and generating test data.
 - [mcp-server-fuzzer](https://github.com/Agent-Hellboy/mcp-server-fuzzer) - A comprehensive fuzzing tool designed specifically for testing Model Context Protocol (MCP) servers. It supports both tool argument fuzzing and protocol type fuzzing across multiple transport protocols.
 - [OrcaReplay](https://github.com/Continuum-AI-Corp/OrcaReplay) - Records a Python agent's calls to its model provider from outside the process, then serves the recording back so the same run happens again with the provider unreachable and no key. Turns a failed session into a regression test. Apache-2.0.
 - [Sabot](https://github.com/Jott2121/sabot) - Plants controlled faults inside running multi-agent pipelines (LangGraph, CrewAI, AutoGen) and scores whether each pipeline's own reviewer and guardrail stages detect them. Pre-registered spec, deterministic adjudication, published raw traces.
+- [spantruth](https://github.com/Plexito-de/spantruth) - Test suite for Python LLM telemetry libraries such as OpenLLMetry and OpenInference. A local fake provider serves OpenAI and Anthropic responses, including streams, prompt-cache hits, 429s and dropped connections, and spantruth checks the token counts, models and errors on the resulting spans, and whether each span ends, against what was sent. Apache-2.0.
 - [Tenro](https://github.com/tenro-ai/tenro-python) - An open-source, provider-agnostic testing framework for AI agents that integrates with pytest. It simulates LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
 
 ## Load Testing