@juspay/neurolink
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Universal AI Development Platform with working MCP integration, multi-provider support, voice (TTS/STT/realtime), and professional CLI. 58+ external MCP servers discoverable, multimodal file processing, RAG pipelines. Build, test, and deploy AI applicatio
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JavaScript
import { createOpenAI } from "@ai-sdk/openai";
import { stepCountIs, streamText } from "ai";
import { GroqModels } from "../constants/enums.js";
import { BaseProvider } from "../core/baseProvider.js";
import { DEFAULT_MAX_STEPS } from "../core/constants.js";
import { streamAnalyticsCollector } from "../core/streamAnalytics.js";
import { isNeuroLink } from "../neurolink.js";
import { createLoggingFetch } from "../utils/loggingFetch.js";
import { tracers, ATTR, withClientStreamSpan } from "../telemetry/index.js";
import { AuthenticationError, InvalidModelError, ProviderError, RateLimitError, } from "../types/index.js";
import { logger } from "../utils/logger.js";
import { createGroqConfig, getProviderModel, validateApiKey, } from "../utils/providerConfig.js";
import { composeAbortSignals, createTimeoutController, TimeoutError, } from "../utils/timeout.js";
import { emitToolEndFromStepFinish } from "../utils/toolEndEmitter.js";
import { resolveToolChoice } from "../utils/toolChoice.js";
import { toAnalyticsStreamResult } from "./providerTypeUtils.js";
const GROQ_DEFAULT_BASE_URL = "https://api.groq.com/openai/v1";
const getGroqApiKey = () => validateApiKey(createGroqConfig());
const getDefaultGroqModel = () => getProviderModel("GROQ_MODEL", GroqModels.LLAMA_3_3_70B_VERSATILE);
/**
* Groq Provider
*
* Sub-100ms inference of Llama / Mistral / Gemma at api.groq.com/openai/v1
* (OpenAI-compatible). Best for low-latency tier; trade-off vs other open
* model hosts is throughput latency, not quality.
*
* @see https://console.groq.com/docs/quickstart
*/
export class GroqProvider extends BaseProvider {
model;
apiKey;
baseURL;
constructor(modelName, sdk, _region, credentials) {
const validatedNeurolink = isNeuroLink(sdk) ? sdk : undefined;
super(modelName, "groq", validatedNeurolink);
const overrideApiKey = credentials?.apiKey?.trim();
this.apiKey =
overrideApiKey && overrideApiKey.length > 0
? overrideApiKey
: getGroqApiKey();
this.baseURL =
credentials?.baseURL ??
process.env.GROQ_BASE_URL ??
GROQ_DEFAULT_BASE_URL;
const groq = createOpenAI({
apiKey: this.apiKey,
baseURL: this.baseURL,
fetch: createLoggingFetch("groq"),
});
this.model = groq.chat(this.modelName);
logger.debug("Groq Provider initialized", {
modelName: this.modelName,
providerName: this.providerName,
baseURL: this.baseURL,
});
}
async executeStream(options, _analysisSchema) {
return withClientStreamSpan({
name: "neurolink.provider.stream",
tracer: tracers.provider,
attributes: {
[ATTR.GEN_AI_SYSTEM]: "groq",
[ATTR.GEN_AI_MODEL]: this.modelName,
[ATTR.GEN_AI_OPERATION]: "stream",
[ATTR.NL_STREAM_MODE]: true,
},
}, async () => this.executeStreamInner(options), (r) => r.stream, (r, wrapped) => ({ ...r, stream: wrapped }));
}
async executeStreamInner(options) {
this.validateStreamOptions(options);
// Resolve per-call credentials first, then fall back to instance-level.
const perCallCreds = options.credentials?.groq;
const effectiveApiKey = perCallCreds?.apiKey?.trim() || this.apiKey;
const effectiveBaseURL = perCallCreds?.baseURL || this.baseURL;
const startTime = Date.now();
const timeout = this.getTimeout(options);
const timeoutController = createTimeoutController(timeout, this.providerName, "stream");
try {
// Use the canonical BaseProvider helper: merges base tools (MCP/built-in)
// with user-provided tools (RAG, etc.) and applies per-call filtering.
const shouldUseTools = !options.disableTools && this.supportsTools();
const tools = await this.getToolsForStream(options);
const messages = await this.buildMessagesForStream(options);
// When per-call credentials differ from instance, build a fresh client.
const hasDifferentCreds = effectiveApiKey !== this.apiKey || effectiveBaseURL !== this.baseURL;
const model = hasDifferentCreds
? createOpenAI({
apiKey: effectiveApiKey,
baseURL: effectiveBaseURL,
fetch: createLoggingFetch("groq"),
}).chat(this.modelName)
: await this.getAISDKModelWithMiddleware(options);
const result = await streamText({
model,
messages,
temperature: options.temperature,
maxOutputTokens: options.maxTokens,
tools,
stopWhen: stepCountIs(options.maxSteps || DEFAULT_MAX_STEPS),
toolChoice: resolveToolChoice(options, tools, shouldUseTools),
abortSignal: composeAbortSignals(options.abortSignal, timeoutController?.controller.signal),
experimental_telemetry: this.telemetryHandler.getTelemetryConfig(options),
experimental_repairToolCall: this.getToolCallRepairFn(options),
onStepFinish: ({ toolCalls, toolResults }) => {
emitToolEndFromStepFinish(this.neurolink?.getEventEmitter(), toolResults);
this.handleToolExecutionStorage(toolCalls, toolResults, options, new Date()).catch((error) => {
logger.warn("[GroqProvider] Failed to store tool executions", {
provider: this.providerName,
error: error instanceof Error ? error.message : String(error),
});
});
},
});
timeoutController?.cleanup();
const transformedStream = this.createTextStream(result);
const analyticsPromise = streamAnalyticsCollector.createAnalytics(this.providerName, this.modelName, toAnalyticsStreamResult(result), Date.now() - startTime, {
requestId: `groq-stream-${Date.now()}`,
streamingMode: true,
});
return {
stream: transformedStream,
provider: this.providerName,
model: this.modelName,
analytics: analyticsPromise,
metadata: { startTime, streamId: `groq-${Date.now()}` },
};
}
catch (error) {
timeoutController?.cleanup();
throw this.handleProviderError(error);
}
}
getProviderName() {
return this.providerName;
}
getDefaultModel() {
return getDefaultGroqModel();
}
getAISDKModel() {
return this.model;
}
formatProviderError(error) {
if (error instanceof TimeoutError) {
return new ProviderError(`Groq request timed out: ${error.message}`, "groq");
}
const errorRecord = error;
const message = typeof errorRecord?.message === "string"
? errorRecord.message
: "Unknown error";
if (message.includes("Invalid API key") ||
message.includes("Authentication") ||
message.includes("401") ||
message.includes("invalid_api_key")) {
return new AuthenticationError("Invalid Groq API key. Check GROQ_API_KEY. Get one at https://console.groq.com/keys", "groq");
}
if (message.includes("rate limit") || message.includes("429")) {
return new RateLimitError("Groq rate limit exceeded. Free tier limits are tight; consider upgrading or backing off.", "groq");
}
if (message.includes("model_not_found") ||
message.includes("404") ||
message.includes("model_decommissioned")) {
return new InvalidModelError(message.includes("model_decommissioned")
? `Groq model '${this.modelName}' was decommissioned. Pick a current model from https://console.groq.com/docs/models.`
: `Groq model '${this.modelName}' not found. See https://console.groq.com/docs/models for the current catalog.`, "groq");
}
return new ProviderError(`Groq error: ${message}`, "groq");
}
async validateConfiguration() {
return typeof this.apiKey === "string" && this.apiKey.trim().length > 0;
}
getConfiguration() {
return {
provider: this.providerName,
model: this.modelName,
defaultModel: getDefaultGroqModel(),
baseURL: this.baseURL,
};
}
}
export default GroqProvider;