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 rules/adaline/gateway/providersgit clone --depth 1 https://github.com/adaline/gatewayWhat 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 | $0.01667 |
| Opus 5 | $0.00000 | $0.00834 |
| Sonnet 5 | $0.00000 | $0.00333 |
| Haiku 4.5 | $0.00000 | $0.00167 |
Grade A, and why
providers 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 yesterday.
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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Core Providers Module Rules
Module Overview
The core providers module contains concrete implementations of AI provider integrations (Anthropic, OpenAI, Google, etc.) that implement the provider interfaces defined in the provider package.
Provider Implementation Rules
1. Provider Structure
- ALWAYS create a dedicated directory for each provider:
core/providers/{provider-name}/ - ALWAYS implement the
ProviderV1interface from@adaline/provider - ALWAYS use the naming pattern:
Provider{ProviderName}(e.g.,Anthropic,OpenAI) - ALWAYS export the provider class as the default export
- ALWAYS include proper TypeScript generics for configuration types
2. Provider Class Implementation
- ALWAYS implement
readonly version = "v1" as const - ALWAYS implement
readonly name = "{ProviderName}" - ALWAYS use static constants for base URLs and endpoints
- ALWAYS implement private model factories for both chat and embedding models
- ALWAYS use proper type constraints for model factories
3. Model Factory Pattern
- ALWAYS create a private
chatModelFactoriesrecord mapping model names to factories - ALWAYS create a private
embeddingModelFactoriesrecord mapping model names to factories - ALWAYS each factory should include: model class, options schema, and model schema
- ALWAYS use the pattern:
private readonly chatModelFactories: Record<string, {
model: { new (options: any): ChatModelV1 };
modelOptions: z.ZodType<any>;
modelSchema: ChatModelSchemaType;
}> = {
[ModelLiteral]: {
model: ModelClass,
modelOptions: ModelOptionsSchema,
modelSchema: ModelSchema,
},
};
Model Implementation Rules
1. Chat Model Implementation
- ALWAYS extend or implement the appropriate base chat model class
- ALWAYS implement all required methods from
ChatModelV1 - ALWAYS provide proper model schemas with capabilities and limits
- ALWAYS implement provider-specific API integration methods
- ALWAYS handle provider-specific response formats and errors
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.
- yesterday First seen · 215 lines · 0 tokens per session scan A f4a67ed4a6b2
providers is a cursor rule published in the GitHub repository adaline/gateway (605 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,667 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.
Other cursor rules, from other repositories
js-sdk-genai-framework-instrumentation
Guide for implementing JS SDK agent and framework instrumentations, such as LangChain, LangGraph, OpenAI Agents, Claude Agent SDK, Google ADK, and Vercel AI.
coding-agents-hook
Authoring and testing coding-agent hook adapters, including payload probing, session state, capture modes, and plugin manifests. Consult the telemetry convention when changing canonical attributes.
coding-agents-convention
Canonical coding-agent telemetry schema, inbound mappings, and data contracts. Applies to semantic conventions, emission, processing, and readers—not hook implementation mechanics.
security-testing
Authorization, input validation, CE boundary, secrets, and test guidance for OpenLIT server code.
documentation
Standards for OpenLIT documentation, MDX structure, navigation, examples, and terminology.
js-sdk-genai-instrumentation
Guide for aligning JS SDK GenAI provider instrumentations with OTel semantic conventions and the Python SDK reference implementation.