Tianyi Cui
0ebb86e70f
dsh-llm owns the vocabulary (attribution.ts): AppIdentity with the version
read from the package manifest, userAgent(), and attributionHeaders(target,
identity) over a closed AttributionTarget union ('generic' | 'openrouter').
Both adapters send the headers on every provider request — llm-deepseek in
its fetch headers, llm-pi-ai through pi-ai's StreamOptions.headers — behind
an explicit attributionTarget config (never inferred from baseURL), with
mock-server tests asserting exact wire arrival and the absence of the
OpenRouter set by default.
The RFC moves to implemented/ amended with the settled identity (the
deepseek-harness token, the DeepSeek Harness title, the planned
deepseek-ai/deepseek-harness-sdk URL behind a FIXME until that repo exists)
and the explicit-config OpenRouter decision.
79 lines
2.8 KiB
TypeScript
79 lines
2.8 KiB
TypeScript
/**
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* DeepSeek LLM adapter plugin: registers a {@link DeepSeekAdapter} for the
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* configured model names on `ctx.llm`.
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*
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* Config is cordis-native (schemastery). Secrets flow per the repo policy:
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* `apiKey` from cordis.yml via the `!!js` tag (`!!js process.env.DEEPSEEK_API_KEY`)
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* or from the environment directly; never from ad-hoc files.
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*
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* ```yaml
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* - id: llm-deepseek
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* name: '@deepseek-ai/dsh-llm-deepseek'
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* config:
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* apiKey: !!js process.env.DEEPSEEK_API_KEY
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* baseURL: !!js process.env.DEEPSEEK_BASE_URL
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* models: [deepseek-v4-flash, deepseek-v4-pro]
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* ```
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*
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* @module @deepseek-ai/dsh-llm-deepseek
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*/
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import type { Context } from 'cordis'
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import z from 'schemastery'
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import type {} from '@deepseek-ai/dsh-llm'
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import { DeepSeekAdapter } from './adapter.ts'
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export { DeepSeekAdapter, httpErrorCode } from './adapter.ts'
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export type { DeepSeekAdapterOptions } from './adapter.ts'
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export { serializeMessages, serializeRequest } from './serialize.ts'
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export type { RequestDefaults } from './serialize.ts'
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export { DONE, parseSse } from './sse.ts'
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export { mapFinishReason, mapUsage, translate } from './translate.ts'
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export type * from './types.ts'
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export const name = 'llm-deepseek'
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export const inject = ['llm']
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export interface Config {
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/** API key; falls back to $DEEPSEEK_API_KEY. Required one way or the other. */
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apiKey?: string
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/** Endpoint base; falls back to $DEEPSEEK_BASE_URL, then the public API. */
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baseURL?: string
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/** Model names to register (sent verbatim on the wire). */
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models?: string[]
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/** Thinking-mode default for every request (provider default: enabled). */
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thinking?: 'enabled' | 'disabled'
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/** Thinking effort (only meaningful with thinking enabled). */
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reasoningEffort?: 'high' | 'max'
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}
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export const Config: z<Config> = z.object({
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apiKey: z.string(),
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baseURL: z.string(),
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models: z.array(z.string()).default(['deepseek-v4-flash', 'deepseek-v4-pro']),
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thinking: z.union(['enabled', 'disabled']),
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reasoningEffort: z.union(['high', 'max']),
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})
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/** Public API default; the internal endpoint comes from $DEEPSEEK_BASE_URL. */
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export const PUBLIC_BASE_URL = 'https://api.deepseek.com'
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export function apply(ctx: Context, config: Config): void {
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const apiKey = config.apiKey ?? process.env.DEEPSEEK_API_KEY
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if (apiKey === undefined || apiKey.length === 0) {
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throw new Error('llm-deepseek: an API key is required (Config.apiKey or $DEEPSEEK_API_KEY)')
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}
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const baseURL = config.baseURL ?? process.env.DEEPSEEK_BASE_URL ?? PUBLIC_BASE_URL
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// schemastery's .default() guarantees models is set after validation.
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const models = config.models as string[]
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ctx.llm.registerAdapter(models, new DeepSeekAdapter({
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apiKey,
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baseURL,
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defaults: {
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thinking: config.thinking,
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reasoningEffort: config.reasoningEffort,
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},
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}))
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}
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