Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/homenshum/nodebenchai/model_consolidation_plangit clone --depth 1 https://github.com/HomenShum/NodeBenchAIWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.13587 |
| Opus 5 | $0.00000 | $0.06793 |
| Sonnet 5 | $0.00000 | $0.02717 |
| Haiku 4.5 | $0.00000 | $0.01359 |
Grade A, and why
MODEL_CONSOLIDATION_PLAN scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
const response = await fetch(config.baseUrl, { How it starts
The opening of the file, as written. The whole thing — 1,419 lines — stays where its author put it; the contents beside it link to each section on GitHub.
2025 Agent Architecture Restructure Plan
Overview
This document outlines the complete restructure of the NodeBench AI agent system:
- Model Consolidation - Use ONLY approved 2025 models
- Directory Restructure - Clean separation of concerns
- Native SDK Removal - Replace with AI SDK providers
- Python MCP Integration - Convex-aware Python servers
- 5 Agent Patterns - Implement 2025 orchestration patterns
Approved Models (EXCLUSIVE - No Others Allowed)
- OpenAI: GPT-5.2 series only
- Anthropic: Claude 4.5 series only
- Google: Gemini 3 and 2.5 series only
Part 1: Model Consolidation
Models to KEEP (7 Total)
| Provider | Model ID (Your Format) | AI SDK Model ID | Notes |
|---|---|---|---|
| OpenAI | gpt-5.2 |
gpt-4o (until real API) |
GPT-5.2 flagship |
| Anthropic | claude-opus-4.5 |
claude-opus-4-5 |
Most capable |
| Anthropic | claude-sonnet-4.5 |
claude-sonnet-4-5 |
Balanced |
| Anthropic | claude-haiku-4.5 |
claude-haiku-4-5 |
Fast/cheap |
gemini-3-pro-preview |
gemini-3-pro-preview |
Multimodal flagship | |
gemini-2.5-pro |
gemini-2.5-pro |
Best quality (2M ctx) | |
gemini-3.1-flash-lite-preview |
gemini-3.1-flash-lite-preview |
Fast (1M ctx) |
Models to DELETE (16 Total)
OpenAI (8 to delete)
gpt-5.1- Not GPT-5.2 seriesgpt-5.1-codex- Not GPT-5.2 seriesgpt-5-mini- Not GPT-5.2 seriesgpt-5-nano- Not GPT-5.2 seriesgpt-4.1- Old 4.x seriesgpt-4.1-mini- Old 4.x seriesgpt-4.1-nano- Old 4.x seriesgpt-4o- Old 4.x series (keep as SDK mapping target only)
Anthropic (5 to delete)
claude-sonnet-4-5-20250929- Useclaude-sonnet-4.5(no date suffix)claude-opus-4-5-20251101- Useclaude-opus-4.5(no date suffix)claude-haiku-4-5-20251001- Useclaude-haiku-4.5(no date suffix)claude-sonnet-4- Old Claude 4.0 seriesclaude-opus-4- Old Claude 4.0 series
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 1,419 lines · 0 tokens per session scan A 88e9759c32bd
MODEL_CONSOLIDATION_PLAN is an agent published in the GitHub repository HomenShum/NodeBenchAI (14 stars, last pushed 19d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 13,587 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
AGENTS
The core Agents SDK, published to npm as agents. This is the most complex package in the monorepo.
dynamic-agents
Dynamic agents use functions instead of static values for instructions, model, and tools. These functions receive runtime context and return the appropriate configuration for each operation.
openai-sdk
OpenAI's Agents SDK supports structured tool use and multi-modal workflows. ContextForge can serve as a unified tool registry for OpenAI agents.
api-designer
REST and GraphQL API design - endpoint design, request/response schemas, versioning, and documentation. Use for designing new APIs or evolving existing ones.
accessibility-specialist
Accessibility expert: WCAG 2.2 audits, screen reader compat, keyboard navigation, ARIA patterns, automated a11y testing.
config-safety-reviewer
Configuration safety specialist focusing on production reliability, magic numbers, pool sizes, timeouts, and connection limits. Use proactively for configuration changes and production safety reviews.