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Multi-Model AI Development Pipeline

Opus 5.5 Planner → Sonnet 5.5 Builder → v6 Daybreak Reviewer

Concept Document
A specialized multi-agent system that routes work across complementary models: Anthropic Claude for planning and building, and an OpenAI v6 Daybreak-class model for rigorous review.


1. Overview

SOP: Integrating Grafana + Prometheus with LangChain / Langfuse for Observability and Metrics

Overview

Langfuse provides excellent LLM-specific tracing, evaluations, and prompt management. It does not natively export Prometheus metrics. This SOP covers practical ways to add operational metrics (latency, request rate, errors, tokens, cost) and visualize them in Grafana, while keeping Langfuse as the source of truth for detailed traces.

Three complementary approaches are supported:

  1. Custom prometheus_client instrumentation via LangChain callbacks (recommended primary path).
  2. OpenTelemetry traces → span_metrics connector in an OpenTelemetry Collector → Prometheus.
  3. Direct SQL queries against Langfuse’s backing databases (Postgres / ClickHouse) from Grafana.
@NYKevin
NYKevin / accounting.sql
Last active May 18, 2026 17:16
Basic double-entry bookkeeping system, for PostgreSQL.
CREATE TABLE accounts(
id serial PRIMARY KEY,
name VARCHAR(256) NOT NULL
);
CREATE TABLE entries(
id serial PRIMARY KEY,
description VARCHAR(1024) NOT NULL,
amount NUMERIC(20, 2) NOT NULL CHECK (amount > 0.0),
-- Every entry is a credit to one account...