Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
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Open source observability platform for logs, metrics, traces, RUM (web, android, ios), Session replay, pipelines, SLO and LLM observability. A sophisticated, simple and highly performant alternative to Datadog, Splunk, and Elasticsearch with 140x lower storage costs and single binary deployment.
Complete logs of the experiments in the blog post 'LLMs can understand and write neural network weights'
DLIA is an AI-powered Docker log monitoring agent that uses Large Language Models (LLMs) to intelligently analyze container logs, detect anomalies, and provide contextual insights over time.