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/netmindai-open/narranexus/llm_config.pygit clone --depth 1 https://github.com/NetMindAI-Open/NarraNexusWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/netmindai-open/narranexus/llm_config.py)<a href="https://agentmods.dev/agents/netmindai-open/narranexus/llm_config.py"><img src="https://agentmods.dev/badge/agents/netmindai-open/narranexus/llm_config.py.svg" alt="Measured on agentmods" height="20"></a>What 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 | $0.01609 |
| Opus 5 | $0.00000 | $0.00805 |
| Sonnet 5 | $0.00000 | $0.00322 |
| Haiku 4.5 | $0.00000 | $0.00161 |
Grade A, and why
llm_config.py scanned grade A with 0 findings 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 4d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
2026-07-28 — 不再返回 free_tier 锁块
GET 响应里的 free_tier: {active, model} 块删除。免费额度是普通 provider
卡,per-agent override 不会被任何东西抢占,composer 的模型 chip 永远是可用
控件 —— 继续下发一个恒为 inactive 的锁块,只会诱导前端渲染一种不可能发生的
状态。
2026-07-23 — GET 响应新增 free_tier 锁定块(诚实化模型选择器)
GET /{agent_id}/llm-config 的 data 增加 free_tier: {active, model}。动机:
云端免费额度优先策略([[resolver]] 的 SYSTEM_OK 分支)在免费额度有余额时
忽略 per-agent override、锁死系统固定模型——底部 [[ComposerModelBadge]] 却照常
显示可切下拉、写库、乐观更新,用户以为切成功了实则运行时永远没变。这是测试同学报的
"model 选择器切换不生效" 的真根因(不是前端/写库 bug)。
free_tier 由单点 free_tier_lock_for(user_id, sys_svc, quota_svc, db)
([[resolver]])算出——路由只负责从 request.app.state 取 system_provider /
quota_service(可能为 None)并连同 db 传进去;resolver 组装 + 是否锁定 + model 提取全在
provider_resolver 单点完成(review 抓出第一版把 helper 复制进了 llm-config 和 quota 两个
路由,本次收敛)。active 语义 = SYSTEM_OK 门;model 是锁定时真正运行的系统 agent
模型。本地模式两服务为 None → active=False,前端行为与改前完全一致(切换保持可用)。
前端据此:徽章渲染只读 free tier · <model> chip(优先于其它状态),
[[AgentLlmConfigPanel]] 顶部加诚实 banner(控件仍可编辑,允许预配置,额度耗尽即生效)。
决策背景:Owner 选了"UI 诚实化、免费期锁单模型",不改 free-tier-first 运行时策略本身。
测试见 test_agents_llm_config_routes.py 新增三例(未 wire 服务→inactive / 有余额→
锁定系统模型 / 余额耗尽→inactive)。
2026-07-18 — 路由级门禁删除,策略随 set_agent_slot 下沉 cloud_policy
昨天加的内联 netmind-only 检查块(含它的 prov 查询)整体删除:PUT 现在把
actor_is_staff=_is_staff(request) 传给 set_agent_slot,策略(provider
来源 + per-agent 框架钉选门禁,后者是新增的——云端非 staff 不得钉与 owner
默认不同的框架,堵住框架切换 staff-gate 的侧门)在服务层由 [[cloud_policy]]
统一强制;路由 catch CloudPolicyViolation → 403。is_cloud_mode import
随之移除。
2026-07-17 — 云端门禁从 OAuth-only 扩宽为 netmind-only
PUT 的云端非 staff 门禁从 source in _OAUTH_SOURCES(拒 OAuth 卡)改为
source != "netmind"(只许 NetMind 卡)——产品决策:云端只能用 NetMind 账户
运行,自有 API key 是本地版功能。旧 OAuth 拦截被包含(OAuth 源都非
netmind),_OAUTH_SOURCES 常量随之删除。与 providers.py 的
_netmind_slots_only 同一规则(那边守用户级槽 + onboard/add);staff 豁免、
本地不受影响。前端 [[AgentLlmConfigPanel]] 同步过滤下拉。测试见
test_agents_llm_config_routes.py 新增三例(403 / netmind 通过 / staff 绕过)。
2026-07-09 (review fixes) — raw owner rows + deployment_mode + owner-scoped gate
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.
- 4d ago First seen · 96 lines · 0 tokens per session scan A 3aaa9b6b0141
llm_config.py is an agent published in the GitHub repository NetMindAI-Open/NarraNexus (85 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,609 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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