feat(vision): add the configurable HTTP vision provider
Registers an OpenAI-compatible chat-completions provider into ctx.imageRecognition with a user-editable baseURL + API key via a settings section and the credential plane. Logs the secret-free vision request body as the image-recognition/llm-request session event. Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
@@ -61,4 +61,5 @@ export const KNOWN_SESSION_EVENT_TYPES: ReadonlySet<string> = new Set([
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'turn/start',
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'user/message',
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'web/deepseek-search-llm-request',
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'image-recognition/llm-request',
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])
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@@ -0,0 +1,47 @@
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{
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"name": "@deepseek-ai/dsh-image-recognition-http",
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"description": "Configurable HTTP vision provider for the DeepSeek Harness image-recognition seam — calls a user-supplied OpenAI-compatible chat-completions endpoint with baseURL + API key",
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"version": "0.1.0-rc.5",
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"publishConfig": {
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"access": "public"
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},
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"repository": {
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"type": "git",
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"url": "git+https://github.com/deepseek-ai/deepseek-harness.git",
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"directory": "packages/vision/image-recognition-http"
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},
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"type": "module",
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"main": "lib/index.js",
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"types": "lib/types/index.d.ts",
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"exports": {
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".": {
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"types": "./lib/types/index.d.ts",
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"default": "./lib/index.js"
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},
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"./invariant": {
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"types": "./lib/types/invariant.d.ts",
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"default": "./lib/invariant.js"
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},
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"./src/*": "./src/*",
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"./package.json": "./package.json"
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},
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"files": [
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"lib/index.js",
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"lib/invariant.js",
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"lib/types/**/*.d.ts"
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],
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"license": "MIT",
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"dependencies": {
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"@deepseek-ai/schemastery": "workspace:^"
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},
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"devDependencies": {
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"@deepseek-ai/dsh-agent": "workspace:^",
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"@deepseek-ai/dsh-credentials": "workspace:^",
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"@deepseek-ai/dsh-image-recognition": "workspace:^",
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"@deepseek-ai/dsh-invariants": "workspace:^",
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"@deepseek-ai/dsh-launch-environment": "workspace:^",
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"@deepseek-ai/dsh-session": "workspace:^",
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"@deepseek-ai/dsh-settings": "workspace:^",
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"@deepseek-ai/cordis": "workspace:^"
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}
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}
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@@ -0,0 +1,118 @@
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/**
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* Register a configurable HTTP vision provider in `ctx.imageRecognition`. The
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* user points `baseURL` and a model at an OpenAI-compatible chat-completions
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* endpoint; the provider encodes the image as a data URL and returns recognized
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* text. Key and endpoint are user-editable through the settings section.
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* @module @deepseek-ai/dsh-image-recognition-http
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*/
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import type { Context } from '@deepseek-ai/cordis'
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import z from '@deepseek-ai/schemastery'
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import type {} from '@deepseek-ai/dsh-agent'
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import { credentialRef } from '@deepseek-ai/dsh-credentials'
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import { installSettingsSection, settingsNamespace } from '@deepseek-ai/dsh-settings'
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import { launchEnvironmentOf } from '@deepseek-ai/dsh-launch-environment'
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import type {} from '@deepseek-ai/dsh-session'
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import type {} from '@deepseek-ai/dsh-image-recognition'
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import {
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ImageRecognitionHttpProvider,
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IMAGE_RECOGNITION_DEFAULT_MAX_TOKENS,
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IMAGE_RECOGNITION_DEFAULT_MODEL,
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} from './provider.ts'
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import type { ImageRecognitionHttpProviderOptions } from './provider.ts'
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export {
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ImageRecognitionHttpProvider,
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IMAGE_RECOGNITION_DEFAULT_MAX_TOKENS,
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IMAGE_RECOGNITION_DEFAULT_MODEL,
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IMAGE_RECOGNITION_HTTP_PROVIDER_ID,
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} from './provider.ts'
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export type { ImageRecognitionHttpProviderOptions } from './provider.ts'
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/** Cordis plugin name used by loader diagnostics. */
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export const name = 'image-recognition-http'
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/** The image-recognition seam this provider registers into. */
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export const inject = ['imageRecognition']
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const DEFAULT_API_KEY_ENV = 'DEEPSEEK_API_KEY'
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/** Plugin config (all optional — `apply` fills env-var and constant defaults). */
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export interface Config {
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/** Literal API key; prefer {@link apiKeyEnv} so no secret enters configuration files. */
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apiKey?: string
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/** Credential reference resolved for each recognition; defaults to `DEEPSEEK_API_KEY`. */
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apiKeyEnv?: string
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/** OpenAI-compatible endpoint base; `/chat/completions` is appended. */
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baseURL?: string
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/** Vision model name. Defaults to `deepseek-v4-flash`. */
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model?: string
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/** Upper bound on generated tokens. Defaults to 2048. */
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maxTokens?: number
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}
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export const Config: z<Config> = z.object({
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apiKey: z.string().role('secret'),
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apiKeyEnv: z.string().role('credential-ref').default(DEFAULT_API_KEY_ENV),
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baseURL: z.string(),
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model: z.string().default(IMAGE_RECOGNITION_DEFAULT_MODEL),
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maxTokens: z.number().step(1).min(1).default(IMAGE_RECOGNITION_DEFAULT_MAX_TOKENS),
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})
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/** Environment variable naming this provider's endpoint. */
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const BASE_URL_ENV = 'DSH_IMAGE_RECOGNITION_BASE_URL'
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/** Settings namespace carrying this provider's endpoint, model, and key reference. */
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export const IMAGE_RECOGNITION_HTTP_SETTINGS_NAMESPACE = settingsNamespace('image-recognition-http')
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/**
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* Project one resolved section into the options the provider serves its next
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* recognition with. Environment fallbacks stay here rather than in the provider:
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* every value it reads is already fully defaulted.
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* @param ctx - plugin context supplying the credential and environment planes.
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* @param config - the currently authoritative section.
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* @returns options for one recognition.
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*/
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function resolveOptions(ctx: Context, config: Config): ImageRecognitionHttpProviderOptions {
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const apiKeyEnv = credentialRef(config.apiKeyEnv ?? DEFAULT_API_KEY_ENV)
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const literalApiKey = config.apiKey !== undefined && config.apiKey.length > 0
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? config.apiKey
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: undefined
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return {
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...literalApiKey === undefined ? {} : { apiKey: literalApiKey },
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resolveApiKey: async () => {
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const credentials = ctx.get('credentials')
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if (credentials !== undefined) return (await credentials.resolve(apiKeyEnv))?.value
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// Without the seam the environment is the whole credential plane.
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const ambient = launchEnvironmentOf(ctx).get(apiKeyEnv)
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return ambient !== undefined && ambient.value.length > 0 ? ambient.value : undefined
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},
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baseURL: config.baseURL
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?? launchEnvironmentOf(ctx).get(BASE_URL_ENV)?.value
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?? '',
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model: config.model ?? IMAGE_RECOGNITION_DEFAULT_MODEL,
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maxTokens: config.maxTokens ?? IMAGE_RECOGNITION_DEFAULT_MAX_TOKENS,
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recordRequest: (request) => {
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ctx.get('agents')?.currentInitiator()?.session.append(
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'image-recognition/llm-request',
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request,
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)
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},
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}
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}
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/** Register the HTTP image-recognition provider with `ctx.imageRecognition`. */
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export function apply(ctx: Context, config: Config): void {
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let current: () => Config = () => config
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installSettingsSection(ctx, IMAGE_RECOGNITION_HTTP_SETTINGS_NAMESPACE, Config, config, {
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setSource: (source) => {
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current = source
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},
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// The registration carries no resolved value: the provider projects the
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// section per recognition, so a committed change needs no re-registration.
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onChange: () => {},
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})
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ctx.imageRecognition.registerProvider(
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new ImageRecognitionHttpProvider(() => resolveOptions(ctx, current())),
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)
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}
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@@ -0,0 +1,30 @@
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/**
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* Package-owned invariant companion for `@deepseek-ai/dsh-image-recognition-http`.
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* @module @deepseek-ai/dsh-image-recognition-http/invariant
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*/
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/* jscpd:ignore-start */
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import type { Context } from '@deepseek-ai/cordis'
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import type { InvariantInstaller } from '@deepseek-ai/dsh-invariants'
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const PACKAGE_NAME = '@deepseek-ai/dsh-image-recognition-http'
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/** Cordis companion plugin name. */
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export const name = 'image-recognition-http-invariant'
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/** Service required before the companion can reserve package ownership. */
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export const inject = ['invariants']
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/**
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* No runtime invariant: the provider registers into the seam registry and keeps
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* no observable independent state; HTTP behavior is asserted by its own tests.
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*/
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const install: InvariantInstaller = () => {}
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/**
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* Register this package's invariant companion.
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* @param ctx - Cordis context carrying the invariant service.
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* @returns the installed registration's disposer after setup succeeds.
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*/
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export const apply = (ctx: Context): Promise<() => void> =>
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Promise.resolve(ctx.invariants.register(PACKAGE_NAME, install))
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/* jscpd:ignore-end */
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@@ -0,0 +1,176 @@
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/**
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* An OpenAI-compatible chat-completions vision provider for
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* `ctx.imageRecognition`. Encodes the image as a data URL and sends it to a
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* user-configured `baseURL`/`model` endpoint, returning the recognized text.
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* @module @deepseek-ai/dsh-image-recognition-http/provider
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*/
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import { readFile } from 'node:fs/promises'
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import { extname } from 'node:path'
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import {
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ImageRecognitionError,
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type ImageInput,
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type ImageRecognitionProvider,
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type ImageRecognitionRequest,
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type ImageRecognitionResult,
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} from '@deepseek-ai/dsh-image-recognition'
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import type {} from '@deepseek-ai/dsh-session/types'
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export const IMAGE_RECOGNITION_HTTP_PROVIDER_ID = 'http'
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/** Secret-free vision request body recorded before dispatch. */
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export interface ImageRecognitionLlmRequest {
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readonly model: string
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readonly max_tokens: number
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readonly messages: readonly unknown[]
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}
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declare module '@deepseek-ai/dsh-session/types' {
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interface SessionEventMap {
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/** Secret-free vision request body recorded before dispatch. */
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'image-recognition/llm-request': ImageRecognitionLlmRequest
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}
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}
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export const IMAGE_RECOGNITION_DEFAULT_MODEL = 'deepseek-v4-flash'
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export const IMAGE_RECOGNITION_DEFAULT_MAX_TOKENS = 2048
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const USER_AGENT = 'deepseek-harness/0.0.1'
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/** Options the provider serves one recognition with, resolved by the plugin. */
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export interface ImageRecognitionHttpProviderOptions {
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/** Literal API key, when configured. */
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readonly apiKey?: string
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/** Resolve the key from the credential/ambient plane per recognition. */
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readonly resolveApiKey: () => Promise<string | undefined>
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/** Endpoint base; `/chat/completions` is appended. */
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readonly baseURL: string
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/** Vision model name. */
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readonly model: string
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/** Upper bound on generated tokens. */
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readonly maxTokens: number
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/** Record the outgoing LLM request for the session log. */
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readonly recordRequest?: (request: ImageRecognitionLlmRequest) => void
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}
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const MEDIA_TYPE_BY_EXTENSION: Readonly<Record<string, string>> = {
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'.png': 'image/png',
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'.jpg': 'image/jpeg',
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'.jpeg': 'image/jpeg',
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'.webp': 'image/webp',
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'.gif': 'image/gif',
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}
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/** Best-effort media type for a file path; undefined when the extension is unknown. */
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function mediaTypeForPath(filePath: string): string | undefined {
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return MEDIA_TYPE_BY_EXTENSION[extname(filePath).toLowerCase()]
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}
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/** Whether the value is a network (fetch) AbortError. */
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function isAbortError(error: unknown): boolean {
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return error instanceof Error && error.name === 'AbortError'
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}
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/** Resolve the request's image to a data URL or plain URL the endpoint accepts. */
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async function imageSource(input: ImageInput): Promise<string> {
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switch (input.kind) {
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case 'base64':
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return `data:${input.mediaType};base64,${input.base64}`
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case 'url':
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return input.url
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case 'file-path': {
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const mediaType = mediaTypeForPath(input.filePath)
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if (mediaType === undefined) {
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throw new ImageRecognitionError(
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`cannot infer media type for "${input.filePath}"; pass the image as base64 with an explicit media type`,
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'IMAGE_RECOGNITION_PROVIDER_ERROR',
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)
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}
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const bytes = await readFile(input.filePath)
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return `data:${mediaType};base64,${bytes.toString('base64')}`
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}
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}
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}
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/**
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* A vision endpoint that recognizes image content through the OpenAI-compatible
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* chat-completions protocol.
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*/
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export class ImageRecognitionHttpProvider implements ImageRecognitionProvider {
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readonly id = IMAGE_RECOGNITION_HTTP_PROVIDER_ID
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constructor(private readonly resolveOptions: () => ImageRecognitionHttpProviderOptions) {}
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available(): boolean {
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return URL.canParse(this.resolveOptions().baseURL)
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}
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async recognize(request: ImageRecognitionRequest, signal?: AbortSignal): Promise<ImageRecognitionResult> {
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// Snapshot the section once per recognition so live settings changes apply.
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const options = this.resolveOptions()
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const apiKey = options.apiKey ?? (await options.resolveApiKey())
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if (apiKey === undefined || apiKey.length === 0) {
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throw new ImageRecognitionError(
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'image-recognition provider has no API key configured; set one in the plugin settings or environment',
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'IMAGE_RECOGNITION_PROVIDER_CREDENTIAL_MISSING',
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)
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}
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const source = await imageSource(request.image)
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const payload = {
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model: options.model,
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max_tokens: options.maxTokens,
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messages: [{
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role: 'user',
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content: [
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{ type: 'text', text: request.prompt ?? 'Describe the contents of this image.' },
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{ type: 'image_url', image_url: { url: source } },
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],
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}],
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}
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options.recordRequest?.(payload)
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let response: Response
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try {
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response = await fetch(`${options.baseURL}/chat/completions`, {
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method: 'POST',
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redirect: 'error',
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headers: {
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'authorization': `Bearer ${apiKey}`,
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'content-type': 'application/json',
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'accept': 'application/json',
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'user-agent': USER_AGENT,
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},
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body: JSON.stringify(payload),
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...signal !== undefined ? { signal } : {},
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})
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} catch (error) {
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if (isAbortError(error)) {
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throw new ImageRecognitionError('image recognition aborted', 'IMAGE_RECOGNITION_ABORTED', { cause: error })
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}
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throw new ImageRecognitionError(`image recognition network failure: ${String(error)}`, 'IMAGE_RECOGNITION_PROVIDER_ERROR', { cause: error })
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}
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if (!response.ok) {
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let detail = ''
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try {
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const body = (await response.json()) as { error?: { message?: unknown } }
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detail = typeof body.error?.message === 'string' ? `: ${body.error.message}` : ''
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} catch {
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// Non-JSON error bodies carry no structured detail.
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}
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throw new ImageRecognitionError(
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`image-recognition provider returned ${response.status}${detail}`,
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'IMAGE_RECOGNITION_PROVIDER_ERROR',
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)
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}
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const data = (await response.json()) as {
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choices?: Array<{ message?: { content?: unknown } }>
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}
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const content = data.choices?.[0]?.message?.content
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if (typeof content !== 'string' || content.length === 0) {
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throw new ImageRecognitionError('image-recognition provider returned no text', 'IMAGE_RECOGNITION_PROVIDER_ERROR')
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}
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return { text: content }
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}
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}
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@@ -0,0 +1,74 @@
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import { afterEach, describe, expect, it, vi } from 'vitest'
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import type { ImageRecognitionRequest } from '@deepseek-ai/dsh-image-recognition'
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import {
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ImageRecognitionHttpProvider,
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IMAGE_RECOGNITION_DEFAULT_MODEL,
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type ImageRecognitionHttpProviderOptions,
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} from '../src/provider.ts'
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/** A stub vision endpoint. */
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function stubFetch(response: Partial<Response>): void {
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vi.stubGlobal('fetch', vi.fn(async () => response))
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}
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function makeProvider(overrides: Partial<ImageRecognitionHttpProviderOptions> = {}): ImageRecognitionHttpProvider {
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return new ImageRecognitionHttpProvider(() => ({
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resolveApiKey: async () => 'key',
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baseURL: 'https://vision.example.com/v1',
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model: IMAGE_RECOGNITION_DEFAULT_MODEL,
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maxTokens: 128,
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...overrides,
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}))
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}
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const request: ImageRecognitionRequest = {
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image: { kind: 'base64', base64: 'aGVsbG8=', mediaType: 'image/png' },
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}
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afterEach(() => {
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vi.unstubAllGlobals()
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})
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describe('ImageRecognitionHttpProvider.available', () => {
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it('is unavailable when no baseURL is configured', () => {
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expect(makeProvider({ baseURL: '' }).available()).toBe(false)
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})
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it('is available when a baseURL is configured', () => {
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expect(makeProvider().available()).toBe(true)
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})
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})
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describe('ImageRecognitionHttpProvider.recognize', () => {
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it('returns the recognized text from a 200 response', async () => {
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stubFetch({ ok: true, status: 200, json: async () => ({ choices: [{ message: { content: 'a cat' } }] }) })
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await expect(makeProvider().recognize(request)).resolves.toEqual({ text: 'a cat' })
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})
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it('sends the image as a data URL to the configured endpoint', async () => {
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const fetchMock = vi.fn(async (_url: string, _init?: { body?: string }) => ({ ok: true, status: 200, json: async () => ({ choices: [{ message: { content: 'x' } }] }) }))
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vi.stubGlobal('fetch', fetchMock)
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await makeProvider({ baseURL: 'https://v.example.com/v1' }).recognize(request)
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const [url, init] = fetchMock.mock.calls[0]!
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expect(url).toBe('https://v.example.com/v1/chat/completions')
|
||||
const body = JSON.parse(init?.body ?? '{}') as { messages: Array<{ content: Array<{ type: string; image_url: { url: string } }> }> }
|
||||
expect(body.messages[0]!.content[1]!.image_url.url).toBe('data:image/png;base64,aGVsbG8=')
|
||||
})
|
||||
|
||||
it('throws IMAGE_RECOGNITION_PROVIDER_CREDENTIAL_MISSING without a key', async () => {
|
||||
await expect(makeProvider({ apiKey: '', resolveApiKey: async () => undefined }).recognize(request))
|
||||
.rejects.toThrow(expect.objectContaining({ code: 'IMAGE_RECOGNITION_PROVIDER_CREDENTIAL_MISSING' }))
|
||||
})
|
||||
|
||||
it('maps a non-2xx response to IMAGE_RECOGNITION_PROVIDER_ERROR', async () => {
|
||||
stubFetch({ ok: false, status: 429, json: async () => ({ error: { message: 'rate limited' } }) })
|
||||
await expect(makeProvider().recognize(request))
|
||||
.rejects.toThrow(expect.objectContaining({ code: 'IMAGE_RECOGNITION_PROVIDER_ERROR' }))
|
||||
})
|
||||
|
||||
it('maps a network failure to IMAGE_RECOGNITION_PROVIDER_ERROR', async () => {
|
||||
vi.stubGlobal('fetch', vi.fn(async () => { throw new TypeError('network down') }))
|
||||
await expect(makeProvider().recognize(request))
|
||||
.rejects.toThrow(expect.objectContaining({ code: 'IMAGE_RECOGNITION_PROVIDER_ERROR' }))
|
||||
})
|
||||
})
|
||||
@@ -0,0 +1,39 @@
|
||||
{
|
||||
"extends": "../../../tsconfig.base.json",
|
||||
"compilerOptions": {
|
||||
"rootDir": "src",
|
||||
"outDir": "lib/types"
|
||||
},
|
||||
"include": [
|
||||
"src"
|
||||
],
|
||||
"references": [
|
||||
{
|
||||
"path": "../../../vendor/cordis"
|
||||
},
|
||||
{
|
||||
"path": "../../../vendor/schemastery"
|
||||
},
|
||||
{
|
||||
"path": "../image-recognition"
|
||||
},
|
||||
{
|
||||
"path": "../../core/agent"
|
||||
},
|
||||
{
|
||||
"path": "../../core/session"
|
||||
},
|
||||
{
|
||||
"path": "../../credentials/credentials"
|
||||
},
|
||||
{
|
||||
"path": "../../settings/settings"
|
||||
},
|
||||
{
|
||||
"path": "../../util/launch-environment"
|
||||
},
|
||||
{
|
||||
"path": "../../runtime-diagnostics/invariants"
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user