Field noteOct 24, 20261 min read1 source

SyntropyLabs launches publicly as an AI observability, evaluation and agent simulation platform

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SyntropyLabs has launched a platform for tracing, evaluating and simulating LLM agents.

What changed: SyntropyLabs has publicly launched a platform combining backend tracing, LLM evaluation and agent simulation; the cited priors cover related observability and evaluation but not this product launch.

Its tracing covers application functions, HTTP requests, database queries, model calls and tool calls. The company provides syntropylabs-evalkit packages for Python and TypeScript; Go and Java use manual spans.

The service can ingest sessions from Claude Code, Codex, Gemini CLI, Cursor, Windsurf and OpenCode as traces, including token and cost data where a vendor reports it. It also flags errors, empty completions, truncation, tool loops and model swaps. Evaluation runs can use datasets, managed or custom prompt evaluators, pass-rate summaries and deployment gates. Simulations generate or run scenarios and record turns, tool calls, scores and verdicts.

Tracing is free for one project, with seven-day retention and a soft cap of 10,000 spans per month. Paid plans cover evaluations, datasets and simulations; enterprise pricing is listed as custom. The source does not establish paid-plan prices, independent performance results, customer adoption, or the accuracy of its evaluators and simulation outcomes.

Evidence / sources

  1. 1syntropylabs.ai
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