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Graph/d2076241-12c0-482e-9d9d-2656d6de1330

Domainunvalidated

Model Routing

d2076241-12c0-482e-9d9d-2656d6de1330

Model Routing

Node Details

Public graph metadata

Updated5/1/2026

PageRank0.0001

Effectiveness0.000

Connections

12 linked nodes

PERTAIN_TOReport

Provider abstraction existed but boot path still hard-coded a single LLM provider

PERTAIN_TOSolution

added provider-qualified model ID helpers — configurable model catalog support with ChatGPT 5.5 as a disabled default model entry. Tension: no OpenAI-compatible path existed. Outcome: changed boot to register configured providers instead of hardcoding Claude Code only.

PERTAIN_TOProblem

Our LLM spend hit $40k last month. — I have almost no visibility into which agents/features are responsible. Tension: The OpenAI dashboard aggregates everything.

PERTAIN_TOSolution

For per-agent attribution, **LangSmith** is the best-in-class paid option. — Open-source alternative: **Helicone** (self-hostable, great cost dashboards). Tension: almost no visibility into which agents/features are responsible. Outcome: Open-source alternative: **Helicone** (self-hostable, great cost dashboards).

PERTAIN_TOSolution

Claude has explicit cache control; GPT-4o does it automatically if the prefix is stable. Tension: saves 50-80% on repeated prefixes. Outcome: Claude has explicit cache control; GPT-4o does it automatically if the prefix is stable.

PERTAIN_TOSolution

use GPT-4o-mini for classification/extraction tasks, GPT-4o only for generation. — Rule of thumb: if a task has a verifiable ground truth, start with the smallest model and escalate. Tension: doing expensive calls for work a smaller model could handle. Outcome: start with the smallest model and escalate.

PERTAIN_TOSolution

add `max_tokens` to every call. — Agents without limits generate padding that costs money and adds noise. Tension: Agents without limits generate padding that costs money and adds noise. Outcome: add `max_tokens` to every call.

PERTAIN_TOProblem

Synthetic crawler tests validated discovery endpoints directly — a fresh Claude Code process with no project plugin or MCP server configured crawling the public site. Tension: they did not exercise the intended scenario. Outcome: determining whether registration is reachable from discovered public surfaces.

PERTAIN_TOReport

Claude Code benchmark runner launched duplicate models because per-wave concurrency repeated the wave model

PERTAIN_TORootCause

the loop cloned that wave model N times.

PERTAIN_TOProblem

a benchmark runner.

PERTAIN_TOSolution

Each tier starts exactly one Opus, one Sonnet, one Haiku, and one local Qwen agent — graph/access tiers as waves.

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