Trace eve agents (Vercel's eve framework, npm `eve`) with Maple: add one OpenTelemetry destination file under agent/instrumentation/ so each eve session is one Maple Agent Session with transcript, tool calls, subagent lanes, approvals and tokens. Covers eve…
Trace a hand-rolled or unsupported AI agent with Maple by emitting the OpenTelemetry GenAI conventions yourself (invoke_agent, chat, execute_tool spans) in any language: TypeScript, Python, Go, Rust, Ruby, Elixir, Java, .NET. Triggers on 'trace my custom…
Trace an AI agent or LLM app with Maple so each conversation shows up as one Agent Session with its transcript, model calls, tool calls, tokens, cost and failures. Detects the agent framework (Vercel AI SDK, eve, OpenAI Agents SDK, Mastra,…
Trace Vercel AI SDK agents with Maple: register the AI SDK's OpenTelemetry integration, export to Maple, and pass a conversation id so each chat is one Agent Session with transcript, tool calls, sub-agents and tokens. Covers generateText, streamText,…
Maple's OpenTelemetry conventions: custom span attribute keys (`maple.*` vendor namespace, `query.context`, `db.query.*`, `result.*`, `cache.*`, `tenant.*`), Title Case status codes (`Ok`/`Error`/`Unset`), resource attribute dual-emit…
Onboard a project to Maple by installing OpenTelemetry traces, logs, and metrics across every app and service in the repo. Triggers on requests like 'install Maple', 'set up Maple', 'add Maple telemetry', 'onboard this repo to Maple', 'instrument with…
General OpenTelemetry onboarding style for Maple: native APIs, the business-span pattern, inline keys, VCS resource attributes, per-framework notes, business signals, export verification, LLM calls, and smoke checks.
Trace Agno agents with Maple: installs the OpenInference Agno instrumentor with an OTLP exporter and GenAI attributes, and sets session_id per conversation so each chat is one Maple Agent Session with transcript, tool calls, team members, tokens and cost.…