15 tagged llmops, measured the same way as everything else here.
Browse within: ai-observability 8clickhouse 8metrics 8observability 8openai 8language-model 5
Cursor rule Cursor
Canonical coding-agent telemetry schema, inbound mappings, and data contracts. Applies to semantic conventions, emission, processing, and readers—not hook implementation mechanics.
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Authoring and testing coding-agent hook adapters, including payload probing, session state, capture modes, and plugin manifests. Consult the telemetry convention when changing canonical attributes.
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Guide for implementing JS SDK agent and framework instrumentations, such as LangChain, LangGraph, OpenAI Agents, Claude Agent SDK, Google ADK, and Vercel AI.
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The gateway core module is the central orchestrator that handles AI provider requests, manages caching, queuing, and provides unified interfaces for chat completion, embeddings, and tool responses.
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This is a TypeScript-based AI gateway service that provides unified interfaces for multiple AI providers (OpenAI, Anthropic, Google, etc.) with features like caching, queuing, analytics, and telemetry.
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The types package contains shared type definitions, Zod schemas, and interfaces used across the entire Adaline Gateway ecosystem. This package serves as the single source of truth for all data structures.
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Cursor rule "mcp-llms-full" from langfuse/mcp-server-langfuse, covering example clients, feature support matrix, client details, claude desktop app and 5ire.
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SpecRoute spec-driven workflow and artifact routing.