@molecule/api-ai-local
Provider bond · ai · API (Node) · v1.0.6 · Apache-2.0
Local ai-local provider for molecule.dev.
npm install @molecule/api-ai-localnpm · Source on GitHub · Implements @molecule/api-ai
How it works
@molecule/api-ai-local is a provider bond on the API (Node) side: it implements the ai core interface (@molecule/api-ai) with a concrete vendor or library behind it.
Your code calls the core; you wire this provider once at startup. Swapping vendors later is one line in that wiring, not a rewrite.
// npm install @molecule/api-ai-local --workspace=api
import { setProvider, requireProvider } from '@molecule/api-ai'
import { provider } from '@molecule/api-ai-local'
// Named registration — several AI providers can be bonded side by side
// (getProviderByName('local') targets this one); the FIRST one
// registered also answers requireProvider() (see @molecule/api-ai).
setProvider('local', provider) // keyless: LOCAL_AI_BASE_URL (Ollama http://localhost:11434/v1 by default), LOCAL_AI_MODEL (llama3.1)
let reply = ''
for await (const event of requireProvider().chat({
messages: [{ role: 'user', content: 'Hello!' }],
})) {
if (event.type === 'text') reply += event.content // or forward the chunk to the client (SSE)
}Works with: @molecule/api-bond, @molecule/api-i18n, @molecule/api-secrets
Reference
Local (OpenAI-compatible) ai-local provider for molecule.dev.
Streams chat completions from any local inference server that speaks the
OpenAI chat/completions protocol (Ollama, LM Studio, llama.cpp, vLLM),
keyless by default.
Auto-generated, AI-first package reference for the molecule.dev ecosystem. It is written to be read by coding agents as much as by people, and is generated from this package's source — edit
src/index.tsJSDoc, not this file.
Quick Start
// npm install @molecule/api-ai-local --workspace=api
import { setProvider, requireProvider } from '@molecule/api-ai'
import { provider } from '@molecule/api-ai-local'
// Named registration — several AI providers can be bonded side by side
// (getProviderByName('local') targets this one); the FIRST one
// registered also answers requireProvider() (see @molecule/api-ai).
setProvider('local', provider) // keyless: LOCAL_AI_BASE_URL (Ollama http://localhost:11434/v1 by default), LOCAL_AI_MODEL (llama3.1)
let reply = ''
for await (const event of requireProvider().chat({
messages: [{ role: 'user', content: 'Hello!' }],
})) {
if (event.type === 'text') reply += event.content // or forward the chunk to the client (SSE)
}
Type
provider
Installation
npm install @molecule/api-ai-local @molecule/api-ai @molecule/api-bond @molecule/api-i18n @molecule/api-secrets
API
Interfaces
LocalConfig
Local (OpenAI-compatible) provider configuration.
interface LocalConfig {
/** Called on each rate-limited/busy upstream response, before any retry sleep. */
onRateLimit?: AiRateLimitCallback
/**
* Base URL of the OpenAI-compatible endpoint, INCLUDING the version segment
* (e.g. `http://localhost:11434/v1`). Overrides `LOCAL_AI_BASE_URL` /
* `OLLAMA_BASE_URL`. Defaults to Ollama's `http://localhost:11434/v1`.
*/
baseUrl?: string
/**
* Optional API key. Most local servers ignore auth; when omitted (and no
* `LOCAL_AI_API_KEY` env var is set) no `Authorization` header is sent.
*/
apiKey?: string
/**
* Default model when a call doesn't specify one. Overrides `LOCAL_AI_MODEL`.
* Defaults to `llama3.1`.
*/
model?: string
}
Classes
LocalAIProvider
Local (OpenAI-compatible) chat provider implementing the AIProvider
interface. Mirrors @molecule/api-ai-openai so the same handler code can
dispatch to a local endpoint.
class LocalAIProvider implements AIProvider {
readonly name = 'local'
private apiKey: string
private defaultModel: string
private maxTokens: number
private baseUrl: string
private onRateLimit?: AiRateLimitCallback
constructor(config: LocalConfig = {}) {
// Keyless by default — many local servers ignore auth. Empty string means
// "no key", so no Authorization header is sent. NEVER throws for a missing
// key at construction.
this.apiKey = config.apiKey ?? process.env.LOCAL_AI_API_KEY ?? ''
this.defaultModel = config.model ?? process.env.LOCAL_AI_MODEL ?? DEFAULT_MODEL
this.maxTokens = DEFAULT_MAX_TOKENS
this.onRateLimit = config.onRateLimit
this.baseUrl =
config.baseUrl ??
process.env.LOCAL_AI_BASE_URL ??
process.env.OLLAMA_BASE_URL ??
DEFAULT_BASE_URL
}
/**
* Send a chat request and yield streamed `ChatEvent`s.
*
* @param params - Chat parameters.
* @yields {ChatEvent}
*/
async *chat(params: ChatParams): AsyncIterable<ChatEvent> {
const model = params.model ?? this.defaultModel
const maxTokens = params.maxTokens ?? this.maxTokens
const messages = this.formatMessages(params.messages, params.system)
const body: Record<string, unknown> = {
// Abuse attribution (see ChatParams.endUserId): OpenAI-compatible APIs
// scope enforcement by `user`, so an abusive tenant can be actioned
// individually instead of the org key that serves everyone. The value is
// the caller's opaque hash — never derived or logged here.
...(params.endUserId ? { user: params.endUserId } : {}),
model,
messages,
max_tokens: maxTokens,
}
if (params.temperature !== undefined) body.temperature = params.temperature
// Reasoning depth: the caller resolves the model's native reasoning_effort
// value from the model catalog and passes it as `thinking.effort`. Local
// servers that don't support it typically ignore an unknown field.
if (params.thinking?.effort) {
body.reasoning_effort = params.thinking.effort
}
const tools = params.tools?.length ? this.formatTools(params.tools) : null
if (tools) {
body.tools = tools
if (params.toolChoice === 'required') {
body.tool_choice = 'required'
} else if (typeof params.toolChoice === 'object' && params.toolChoice?.type === 'tool') {
body.tool_choice = { type: 'function', function: { name: params.toolChoice.name } }
}
}
const useStream = params.stream !== false
if (useStream) {
body.stream = true
body.stream_options = { include_usage: true }
}
// Per-call correlation (see ChatParams.requestId): a header rather than the
// body's `user`, the stable per-account abuse-attribution value.
const requestId = params.requestId ?? randomUUID()
const call: LocalCallContext = {
meta: { requestId, endpoint: this.baseUrl },
endUserId: params.endUserId,
}
const headers: Record<string, string> = {
'Content-Type': 'application/json',
'X-Mol-Request-Id': requestId,
}
// Only authenticate when a key is configured — local servers are keyless.
if (this.apiKey) headers.Authorization = `Bearer ${this.apiKey}`
const DEFAULT_TIMEOUT_MS = 5 * 60 * 1000
const signal = params.signal ?? AbortSignal.timeout(DEFAULT_TIMEOUT_MS)
const url = `${this.baseUrl}/chat/completions`
try {
const MAX_RETRIES = 3
let response: Response | null = null
for (let attempt = 0; attempt <= MAX_RETRIES; attempt++) {
response = await fetch(url, {
method: 'POST',
headers,
body: JSON.stringify(body),
signal,
})
if (response.status === 429 || response.status === 503) {
const willRetry = attempt < MAX_RETRIES
// Retry-After is equally-valid as delta-seconds or an HTTP-date;
// parseInt on the date form yields NaN, degrading the backoff to
// a ~0ms retry against an already-busy local endpoint. Guard it.
const retryAfter = response.headers.get('retry-after')
const parsedRetryAfterSeconds = retryAfter ? parseInt(retryAfter, 10) : NaN
const hasRetryAfter =
Number.isFinite(parsedRetryAfterSeconds) && parsedRetryAfterSeconds >= 0
// Additive jitter (<500ms): concurrent callers rejected together must
// not sleep identical delays and re-arrive as the same burst.
const delayMs = willRetry
? (hasRetryAfter
? Math.min(parsedRetryAfterSeconds * 1000, 60_000)
: Math.min(1000 * 2 ** attempt, 30_000)) + Math.floor(Math.random() * 500)
: 0
try {
this.onRateLimit?.({
provider: this.name,
model,
status: response.status,
attempt: attempt + 1,
willRetry,
retryInMs: delayMs,
...(hasRetryAfter ? { retryAfterSeconds: parsedRetryAfterSeconds } : {}),
})
} catch (error) {
// Host-app telemetry; its failure must never break the request.
logger.warn('onRateLimit callback threw', { error })
}
if (willRetry) {
logger.warn('Local AI endpoint busy, retrying', {
status: response.status,
attempt: attempt + 1,
delayMs,
})
await new Promise<void>((resolve) => {
const timer = setTimeout(resolve, delayMs)
signal.addEventListener(
'abort',
() => {
clearTimeout(timer)
resolve()
},
{ once: true },
)
})
if (signal.aborted) break
continue
}
}
break
}
if (!response!.ok) {
const errorBody = await response!.text()
let detail = `HTTP ${response!.status}`
try {
const parsed = JSON.parse(errorBody) as { error?: { message?: string } }
if (parsed.error?.message) detail = parsed.error.message
} catch (_error) {
// Best-effort: detail already has an HTTP-status fallback; malformed body just stays as-is.
if (errorBody.length > 0 && errorBody.length < 200) detail = errorBody
}
logger.error('Local AI endpoint error', { status: response!.status, url, detail })
const clientMessage =
response!.status === 429
? 'AI rate limit exceeded. Please try again shortly.'
: response!.status === 401 || response!.status === 403
? 'AI service configuration error.'
: response!.status === 404
? 'Local AI endpoint or model not found. Is the server running and the model pulled?'
: response!.status === 400 &&
/context.*length|maximum context|too many tokens|prompt is too long/i.test(
detail,
)
? "Conversation too long for the model's context window."
: response!.status === 400
? 'AI request was invalid — check the model and request parameters.'
: response!.status === 503 || response!.status === 502
? 'AI service is temporarily overloaded. Please try again in a moment.'
: 'AI service error. Please try again.'
// Non-OK is a soft failure surfaced as an in-band error EVENT then a
// graceful return — matching the 8 sibling providers. molecule-dev's
// chat-handler consumes this via its `case 'error':` branch, which is a
// different path from its outer try/catch; throwing here would break
// that consumer contract.
yield { type: 'error', message: clientMessage, errorKey: 'ai.error.apiError' }
// … truncated — the full declaration is in node_modules/@molecule/api-ai-local/dist/provider.d.ts
Functions
createProvider(config)
Create a local (OpenAI-compatible) AI provider instance.
Constructs WITHOUT requiring any secret — local endpoints run keyless.
function createProvider(config?: LocalConfig): AIProvider
config— Local provider configuration.
Returns: An AIProvider backed by an OpenAI-compatible local endpoint.
Constants
provider
The provider implementation. Constructs keyless — no secret required.
const provider: AIProvider
aiLocalSecretDefinitions
Optional secret/config overrides recognised by the local AI bond.
const aiLocalSecretDefinitions: SecretDefinition[]
Core Interface
Implements @molecule/api-ai interface.
Bond Wiring
Setup function to register this provider with the bond system:
import { bond } from '@molecule/api-bond'
import { provider } from '@molecule/api-ai-local'
export function setupAiLocal(): void {
bond('ai', 'local', provider)
}
Injection Notes
Requirements
Peer dependencies:
@molecule/api-ai^1.0.1@molecule/api-bond^1.0.1@molecule/api-i18n^1.0.1@molecule/api-secrets^1.0.1
Runtime Dependencies
@molecule/api-ai@molecule/api-bond@molecule/api-i18n@molecule/api-secrets
Error message disambiguation: a plain 400 that ISN'T a context-length error (bad param, malformed tool schema) gets its own non-retryable message distinct from the generic "AI service error. Please try again." used for retryable failures.
E2E Tests
Integration checklist — drive the real UI (live preview, no mocks), adapt each item to this app's actual chat/AI screens, and check every box off one by one. A box you can't check is an integration bug to fix — not a skip. The sandbox HAS an AI provider bonded, so the flow runs live end-to-end; AI output is NON-DETERMINISTIC, so assert on STRUCTURE/behavior, not exact text:
- A message sent through the real chat UI comes back as a RELEVANT AI reply — not an echo of the prompt, a hardcoded stub, or an empty bubble. Ask something with a checkable answer (e.g. "What is 2 + 2?") and confirm the response actually contains it ("4"), proving a live model answered.
- If the app streams, tokens render INCREMENTALLY — text grows word by
word in the UI, not one final blob dumped after a long frozen spinner. (A
streamed
chat()yieldstextchunks then a finaldone; a single late blob means the reply was awaited whole and streaming is broken.) - Multi-turn CONTEXT is preserved: a follow-up that refers back to the
previous turn (e.g. after "2 + 2", ask "now double that" -> understood as 8) works — proving the full
messageshistory is sent, not just the last line. - A provider failure (bad/missing key, rate limit, timeout) surfaces as a graceful in-UI error message, NOT a crash, blank screen, a spinner that never resolves, or an unhandled 500. Force one and watch the UI recover.
- The provider key + the provider call are SERVER-side only: the key
never reaches the browser (check the network tab, the JS bundle, and page
globals), and no route proxies arbitrary prompts to the model without auth
- a token cap — an open AI endpoint is an unbounded bill and abuse vector.