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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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.…
Quellsprache: Englisch
Trace Claude Agent SDK agents (TypeScript and Python) and Claude Code CLI sessions with Maple: configure Claude Code's built-in OpenTelemetry so each conversation becomes one Maple Agent Session with prompts, model calls, tool calls and tokens. Triggers on…
Quellsprache: Englisch
Trace Cloudflare Agents SDK agents (AIChatAgent, Agent on Durable Objects, npm `agents` / `@cloudflare/ai-chat`) with Maple: export the Vercel AI SDK's OpenTelemetry spans from a Worker/Durable Object over fetch, flush per turn, and pass the agent instance…
Quellsprache: Englisch
Trace CrewAI crews and flows with Maple: OpenInference CrewAI instrumentor plus the model-SDK instrumentor, GenAI dual-write, one Maple Agent Session per conversation with transcript, model and tool calls, tokens, failed tools and one lane per agent. Triggers…
Quellsprache: Englisch
Trace DSPy programs and ReAct agents with Maple: OpenInference DSPy instrumentor with GenAI dual-write, a DSPy callback for tokens, cost, tool names and agent spans, using_session for one session per conversation, and thread context for dspy.Parallel.…
Quellsprache: Englisch
Trace Genkit (TypeScript/Node.js) agents with Maple: export Genkit's OpenTelemetry spans to Maple, map its genkit:* attributes to the GenAI conventions with a span processor, and stamp a conversation id so each chat is one Agent Session with transcript, tool…
Quellsprache: Englisch
Trace Google ADK (Agent Development Kit) agents with Maple, in Python (google-adk) and TypeScript (@google/adk): register an OTLP tracer provider, get the transcript and tool calls into the GenAI attributes Maple reads (env switches + a plugin in Python, a…
Quellsprache: Englisch
Trace Haystack agents with Maple: installs a small Haystack tracer that adds OpenTelemetry GenAI attributes to Haystack's own spans, so each conversation is one Maple Agent Session with transcript, model, tokens, cost and tool failures. Triggers on 'trace my…
Quellsprache: Englisch
Trace LangChain and LangGraph agents (Python, and LangChain.js / LangGraph.js in TypeScript) with Maple: export OpenInference LangChain spans with GenAI attributes so each thread is one Maple Agent Session with transcript, tool calls, sub-agent lanes and…
Quellsprache: Englisch
Trace LiteLLM agents with Maple: export LiteLLM's v2 OpenTelemetry spans (Python SDK or self-hosted LiteLLM Proxy) plus your own agent/tool spans so each conversation is one Maple Agent Session with transcript, tool calls, tokens and cost. Triggers on 'trace…
Quellsprache: Englisch
Trace LlamaIndex agents with Maple: OpenInference LlamaIndex instrumentor with GenAI output, a conversation id per chat, agent names and one span per model call, so each conversation is one Maple Agent Session with transcript, tools and tokens. Triggers on…
Quellsprache: Englisch
Trace Mastra agents and workflows with Maple: export Mastra's built-in GenAI spans through @mastra/otel-exporter so each conversation is one Maple Agent Session with transcript, tool calls, sub-agent lanes and tokens. Triggers on 'trace my mastra agent', 'add…
Quellsprache: Englisch
Trace Microsoft Agent Framework and Semantic Kernel agents (Python and .NET) with Maple: native GenAI spans exported over OTLP/HTTP, plus a span processor that adds the conversation id so each chat is one Agent Session with transcript, tools and tokens.…
Quellsprache: Englisch
Trace OpenAI Agents SDK agents with Maple: bridges the SDK's tracing to OpenTelemetry with OpenInference (GenAI attributes on), wraps each run in using_session so each chat is one Maple Agent Session with transcript, tool calls, handoffs, sub-agent lanes and…
Quellsprache: Englisch
Trace OpenRouter calls with Maple: route OpenRouter Broadcast (OTLP) to Maple and edit the app's OpenRouter requests to send session_id and trace ids, so each conversation is one Maple Agent Session with model calls, tokens and real cost. Triggers on 'trace…
Quellsprache: Englisch
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…
Quellsprache: Englisch
Trace agents built directly on the OpenAI, Anthropic or Google Gen AI SDKs (Python or TypeScript, no agent framework) with Maple: official OTel GenAI instrumentations in Python, a small span helper in TypeScript, plus invoke_agent/execute_tool spans and…
Quellsprache: Englisch
Trace Pydantic AI agents with Maple: export Pydantic AI's built-in OpenTelemetry spans (with or without Logfire) so each conversation is one Maple Agent Session with transcript, tool calls, sub-agent lanes and tokens. Triggers on 'trace my pydantic ai agent',…
Quellsprache: Englisch
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, OpenAI Agents SDK, Mastra, LangChain/LangGraph,…
Quellsprache: Englisch
Trace Hugging Face smolagents agents with Maple: OpenInference instrumentor with GenAI dual-write, one Maple Agent Session per conversation with transcript, model and tool calls, tokens, failed tools and managed-agent lanes. Triggers on 'trace my smolagents…
Quellsprache: Englisch
Trace Spring AI agents with Maple: wires Spring Boot's OpenTelemetry starter to Maple, samples every turn, and adds one configuration class so each ChatClient conversation is one Maple Agent Session with transcript, tool calls (failures marked), sub-agent…
Quellsprache: Englisch
Trace Strands Agents (AWS, Python or TypeScript) with Maple: export Strands' built-in OpenTelemetry spans with messages on span attributes, a session id per conversation and per-call token counts, so each conversation is one Maple Agent Session with…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
Go OpenTelemetry style for Maple: go.opentelemetry.io/otel SDK with otlptracehttp / otlploghttp / otlpmetrichttp exporters, inline endpoint + ingest key, semconv resource attributes including vcs.repository.url.full.
Quellsprache: Englisch
Rust OpenTelemetry style for Maple: opentelemetry + opentelemetry_sdk + opentelemetry-otlp HTTP exporter, tracing-opentelemetry bridge for the tracing crate, inline endpoint + ingest key, semconv resource attributes.
Quellsprache: Englisch
Audit an already-instrumented project against Maple's OpenTelemetry conventions, report gaps per service, and fix them. Triggers on requests like 'audit my instrumentation', 'check my telemetry', 'review my OTel setup', 'why is my service map missing edges',…
Quellsprache: Englisch
.NET / C# OpenTelemetry style for Maple: OpenTelemetry.Extensions.Hosting + OTLP HTTP exporter, ActivitySource for spans, ILogger bridging via WithLogging, inline endpoint + ingest key.
Quellsprache: Englisch
Effect-TS OpenTelemetry style for Maple via @maple-dev/effect-sdk: Maple.layer() bootstrap, Effect.withSpan / Effect.annotateCurrentSpan call sites, Effect.log for trace-correlated logging, server / browser / Cloudflare entry points.
Quellsprache: Englisch
Java OpenTelemetry style for Maple: zero-code Java agent or manual SDK with OTLP HTTP exporters, inline endpoint + ingest key, semconv resource attributes, OTLP-bridged Logback / SLF4J logs.
Quellsprache: Englisch
Kotlin (Ktor, Spring Boot) OpenTelemetry style for Maple: zero-code Java agent or manual SDK with OTLP HTTP exporters, inline endpoint + ingest key, semconv resource attributes, OTLP-bridged logs.
Quellsprache: Englisch
Next.js / Vercel OpenTelemetry style for Maple: instrumentation.ts, @vercel/otel bootstrap, native @opentelemetry/api call sites, inline endpoint + ingest key, no raw NodeSDK replacement, @maple-dev/browser on the client.
Quellsprache: Englisch
Plain Node.js (Express, Fastify, Hono, Bun) OpenTelemetry style for Maple: NodeSDK + --import bootstrap, native @opentelemetry/api call sites, inline endpoint + ingest key, OTLP HTTP exporters.
Quellsprache: Englisch
Review a diff, PR, or specific file in this repo for OpenTelemetry *specification* compliance, grounded in the source-linked spec corpus at docs/otel-spec/ (snapshot v1.58.0). Triggers on requests like 'is this spec compliant', 'review this PR against the…
Quellsprache: Englisch
Python OpenTelemetry style for Maple: module-scope tracers/meters, decorators for bounded work, error spans, OTLP-bridged logs via LoggingHandler + LoggingInstrumentor, inline endpoint + ingest key, and no helper-API wrappers.
Quellsprache: Englisch
Build, repair, or review Maple dashboard widgets via the MCP. Triggers on phrases like 'create_dashboard', 'add_dashboard_widget', 'update_dashboard_widget', 'dashboard widget JSON', 'panel_type', 'QueryDraft', or any session that submits widget JSON to the…
Quellsprache: Englisch
Tinybird file formats, SQL rules, optimization patterns, and best practices for datasources, pipes, endpoints, and materialized views.
Quellsprache: Englisch
When the user wants to optimize post-signup onboarding, user activation, first-run experience, or time-to-value. Also use when the user mentions "onboarding flow," "activation rate," "user activation," "first-run experience," "empty states," "onboarding…
Quellsprache: Englisch
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