askexperts
Version:
AskExperts SDK: build and use AI experts - ask them questions and pay with bitcoin on an open protocol
561 lines • 41.3 kB
JavaScript
import { AskExpertsClient } from "../client/AskExpertsClient.js";
import { parseBolt11 } from "../common/bolt11.js";
import { METHOD_LIGHTNING, FORMAT_OPENAI } from "../common/constants.js";
import { debugError } from "../common/debug.js";
/**
* OpenAI interface implementation that uses AskExperts
* Provides a bridge between OpenAI API and AskExperts protocol
*/
export class OpenaiAskExperts {
/**
* Creates a new OpenaiAskExperts instance
*
* @param paymentManager - The LightningPaymentManager instance
* @param options - Optional configuration
* @param options.compression - Custom compression implementation
* @param options.pool - SimplePool instance for relay operations
* @param options.discoveryRelays - Array of discovery relay URLs to use as fallback
*/
constructor(paymentManager, options) {
/**
* Map of active quotes with their resolution callbacks and stream flags
*/
this.activeQuotes = new Map();
this.paymentManager = paymentManager;
this.margin = options?.margin || 0;
// Create the AskExpertsClient instance with the provided options
this.client = new AskExpertsClient({
pool: options?.pool,
discoveryRelays: options?.discoveryRelays,
onPay: this.onPay.bind(this),
});
}
/**
* Gets pricing information for a model in sats per million tokens
* Always returns undefined as pricing is handled by AskExperts
*
* @param model - Model ID
* @returns Promise resolving to undefined
*/
async pricing(model) {
return undefined;
}
/**
* Estimates the price of processing a prompt
* Uses AskExpertsClient to get a quote from an expert
*
* @param model - Model ID (used as expert pubkey or alias)
* @param content - The chat completion parameters
* @returns Promise resolving to the estimated price object
*/
async getQuote(model, content) {
// Create a promise that will be resolved when the quote is received
return new Promise(async (resolve, reject) => {
try {
// Check if the model is an alias, and if so, use the corresponding pubkey
const expertPubkey = OpenaiAskExperts.EXPERT_ALIASES[model] || model;
// Fetch the expert using the expert pubkey
const experts = await this.client.fetchExperts({
pubkeys: [expertPubkey],
});
// Check if the expert was found
if (experts.length === 0) {
throw new Error(`Expert with ${model === expertPubkey ? "pubkey" : "alias"} ${model} not found`);
}
// Get the first expert from the results
const expert = experts[0];
// Check if the expert supports the FORMAT_OPENAI format
if (!expert.formats.includes(FORMAT_OPENAI)) {
throw new Error(`Expert with ${model === expertPubkey ? "pubkey" : "alias"} ${model} does not support the FORMAT_OPENAI format`);
}
// Call askExpert with the fetched expert and a custom onQuote callback
const repliesPromise = this.client.askExpert({
expert,
content: content,
format: FORMAT_OPENAI,
onQuote: async (quote, promptObj) => {
// Find the lightning invoice
const lightningInvoice = quote.invoices.find((inv) => inv.method === METHOD_LIGHTNING && inv.invoice);
if (!lightningInvoice || !lightningInvoice.invoice) {
throw new Error("No lightning invoice found in quote");
}
// Parse the invoice to get the amount
const parsedInvoice = parseBolt11(lightningInvoice.invoice);
// Get the base amount from the invoice
const baseAmountSats = parsedInvoice.amount_sats;
// Apply margin percentage and add fixed fees
const amountSats = baseAmountSats +
Math.ceil(baseAmountSats * this.margin) +
OpenaiAskExperts.FEES;
// Generate a unique quote ID
const quoteId = quote.event.id;
// Create a promise that will be resolved when the payment is approved
const paymentPromise = new Promise((resolvePayment) => {
// Store the resolution callback, stream flag, and replies promise in the activeQuotes map
this.activeQuotes.set(quoteId, {
resolveCallback: resolvePayment,
stream: !!content.stream,
repliesPromise,
model: expertPubkey, // Store the actual expert pubkey with the quote
content: content, // Store the content with the quote
});
});
// Attach a rejection handler to the repliesPromise to clean up activeQuotes
// if the promise is rejected and createChatCompletion is never called
repliesPromise.catch((error) => {
debugError("repliesPromise deleted active quote", quoteId);
this.activeQuotes.delete(quoteId);
});
// Resolve the getQuote promise with the amount and quote ID
resolve({
amountSats,
quoteId,
});
// Return the payment promise
return paymentPromise;
},
});
repliesPromise.catch((error) => {
debugError("repliesPromise rejected:", error);
reject(error);
});
}
catch (error) {
debugError("Error estimating price:", error);
reject(error);
}
});
}
/**
* Execute a chat completion request
*
* @param quoteId - Quote ID for the request
* @param options - Additional options for the request
* @returns Promise resolving to chat completion or chunks
*/
execute(quoteId, options) {
// Get the quote data from the activeQuotes map
const quoteData = this.activeQuotes.get(quoteId);
if (!quoteData) {
throw new Error(`No active quote found for ID: ${quoteId}, might be expired.`);
}
// Create a promise that will be wrapped in an APIPromise-like object
const promise = this.createChatCompletion(quoteData.content, { quoteId });
// Add properties to make it look like an APIPromise
// This is a simplified version that mimics the structure
const apiPromise = promise;
// Return the enhanced promise
return apiPromise;
}
/**
* Creates a chat completion
* Approves the payment for the quote and returns the result
*
* @param body - Chat completion parameters
* @param options - Optional parameters including quoteId
* @returns Promise resolving to chat completion or chunks
*/
async createChatCompletion(body, options) {
try {
// Get the quote ID from the options
const quoteId = options?.quoteId;
if (!quoteId) {
throw new Error("quoteId is required in options");
}
// Find the quote data in the activeQuotes map
const quoteData = this.activeQuotes.get(quoteId);
if (!quoteData) {
throw new Error(`No active quote found for ID: ${quoteId}, might be expired.`);
}
// Approve the payment
quoteData.resolveCallback(true);
// Store stream flag and model before potential deletion
const isStream = quoteData.stream;
try {
// Wait for the replies from the expert
const replies = await quoteData.repliesPromise;
// Remove the quote from the activeQuotes map
this.activeQuotes.delete(quoteId);
// Check if streaming is requested
if (isStream) {
// Return an AsyncIterable that yields ChatCompletionChunk objects
return this.createStreamingResponse(replies);
}
else {
// Read all replies and return a single ChatCompletion
return this.createNonStreamingResponse(replies, quoteData.model);
}
}
catch (error) {
// Make sure to delete the quote from activeQuotes even if the promise is rejected
this.activeQuotes.delete(quoteId);
throw error;
}
}
catch (error) {
debugError("Error in createChatCompletion:", error);
throw error;
}
}
/**
* Creates a streaming response from replies
*
* @param replies - The replies from the expert
* @returns AsyncIterable of ChatCompletionChunk objects
*/
async *createStreamingResponse(replies) {
for await (const reply of replies) {
yield reply.content;
}
}
/**
* Creates a non-streaming response from replies
*
* @param replies - The replies from the expert
* @param model - The model name
* @returns ChatCompletion object
*/
async createNonStreamingResponse(replies, model) {
// Read all replies
const allReplies = [];
for await (const reply of replies) {
allReplies.push(reply);
}
if (allReplies.length === 1 && typeof allReplies[0].content !== "string") {
// The content should be a ChatCompletion object
return allReplies[0].content;
}
else {
const content = allReplies.map((r) => r.content).join("");
return JSON.parse(content);
}
}
/**
* Callback for handling payments
* Called when a quote is accepted to process the payment
*
* @param quote - The quote to pay
* @param prompt - The prompt being processed
* @returns Promise resolving to payment proof
*/
async onPay(quote, prompt) {
// Find the lightning invoice
const lightningInvoice = quote.invoices.find((inv) => inv.method === METHOD_LIGHTNING && inv.invoice);
if (!lightningInvoice || !lightningInvoice.invoice) {
throw new Error("No lightning invoice found in quote");
}
// Pay the invoice using the payment manager
const preimage = await this.paymentManager.payInvoice(lightningInvoice.invoice);
// Return the proof
return {
method: METHOD_LIGHTNING,
preimage,
};
}
/**
* Disposes of resources when the instance is no longer needed
*/
[Symbol.dispose]() {
// Dispose of the client
this.client[Symbol.dispose]();
}
}
/**
* Fixed fee in satoshis added to each transaction
*/
OpenaiAskExperts.FEES = 6;
/**
* Static mapping of aliases to expert pubkeys
* When an alias is provided as the model, the corresponding pubkey will be used
*/
OpenaiAskExperts.EXPERT_ALIASES = {
"qwen/qwen3-235b-a22b-thinking-2507": "10f3c1d0434c7bef9985fc70a2999d24ea0515e9f8b99675375d4273cb201b5f",
"z-ai/glm-4-32b": "b0d4dde4a2d56d4287ffa09037ed04747c3803dac90f113241e2b60fd3e229eb",
"qwen/qwen3-coder:free": "82966176025724dead6eb01debd37457350507368cda723b23e9102ba4ec36aa",
"qwen/qwen3-coder": "3c2e9278119e5e0dfbd0a9f3724e1a6d27019898ee5c38ff475c2cf944382d04",
"bytedance/ui-tars-1.5-7b": "606e941f601adb1a5750d587ad6ce9865239e8b8f39f738ca4d1709d23c6cb81",
"google/gemini-2.5-flash-lite": "e8b0033b5ed729574e423b3a5a48fcb90aa565dab150b4f94fe4b7124b0bb84b",
"qwen/qwen3-235b-a22b-2507:free": "4d3c5f46c6c4af3eb237ec517660ef6e60f8e2408e974d13a52153eee330f243",
"qwen/qwen3-235b-a22b-2507": "05f750e5b421c132c693f293ac6222402f11f4617411d25e201a359828821c0d",
"switchpoint/router": "739dc05adf1e3e139dd3d94c1e50e5295c7a12bec288b3ff2eee43d43d7c4eda",
"moonshotai/kimi-k2:free": "560b00bbd0ec9944a6bd69c0bfc4aa29c7e28b9da6dc8f56c36b9c1bb3bada95",
"moonshotai/kimi-k2": "b2c348289cf47526acb74d6bd03522be80850d8280b1447eb0e8a55ac2644306",
"thudm/glm-4.1v-9b-thinking": "ebe2210396d2a0cf3145892eac69cbc8478669250e35d1d52f618c49f649e42b",
"mistralai/devstral-medium": "688569880ec1fd0e2acf29a6ef5405adab04ecfbb1955cb56f35033af7e2841b",
"mistralai/devstral-small": "56b3e064396acc3f2838758c6fd52d7d88f859b81041fea477b016b33dd8506b",
"x-ai/grok-4": "41541ec2684f23ccfbffb7c4fdd76cc63e19fa3db2c037245a92be6b57b0be24",
"google/gemma-3n-e2b-it:free": "9ff264ff9da410730360599f631fcba02127d9b269f3be91bdc2a6f90f38294c",
"tencent/hunyuan-a13b-instruct:free": "59cd88d6a4c6c2e4dd902d4d00858288499b9db5fa8cabd01ade3601e515034f",
"tngtech/deepseek-r1t2-chimera:free": "f7d355c0657a12f42bb77b5a122423cc87995e6c374b585c1ef5ceb26a5c90ca",
"morph/morph-v3-large": "89f07afab2886bdc553b1d1bc4d0e23e5218a98b6f01d9317191999c7b363c4a",
"morph/morph-v3-fast": "3583eed7212eee479a3491aae3a32289f96c91163dfb3fa4dd6fe011876d6b20",
"baidu/ernie-4.5-300b-a47b": "fdfd7f80d23b9b7dda4e3d584239583dd97f6fca9903a8773017e7c6572a99d2",
"thedrummer/anubis-70b-v1.1": "1d83750097afac0fe8a2d4b1e521651f162d3bb292961aca68b362ffee2a83c4",
"inception/mercury": "e756b0ee6b8a9384e2213ef086f83f99d439fb2e925fb3189fce024ab4d3a486",
"morph/morph-v2": "b624dbd8304f6c11621fef9d27a006628bac11357a9ec44691e0ff01501b5a54",
"mistralai/mistral-small-3.2-24b-instruct:free": "4f81476eb796708b99b44883d03c219b4bec84287ff2953392c8947f2266afc0",
"mistralai/mistral-small-3.2-24b-instruct": "2d09e1182d942db135500b59e1dd0f5172ef86fafe676f4d113bad8e1124f488",
"minimax/minimax-m1": "81178804bc04ae5c7afc4e0cbc258b13e74783498a7f817fd632aaf130e7caa8",
"google/gemini-2.5-flash-lite-preview-06-17": "3c8f41f63c891644ff7162cfd20139d224208e032fb0719db664c65a77343147",
"google/gemini-2.5-flash": "a2ef11fd36478e754ec26dc2323e605e75383bb5fc79d9dfce6d59243f80ea19",
"google/gemini-2.5-pro": "0c68de7fd9cd3641d08de070ee7cc538a74b5a00e0628a5db8ad6b1b3d7460c7",
"moonshotai/kimi-dev-72b:free": "38cba06092022f64fd1051383b23219ec9f1c7376e20acefc6e3764ce5772838",
"x-ai/grok-3-mini": "e12003d8c7768c63d935530a00e00f3ca6fa22afb09a094c44d976f461841ac5",
"x-ai/grok-3": "3dcb0e8a2b388a1baf29df79e67ff8aad5c95f3e400f12ab93e89dc4cafb9df3",
"mistralai/magistral-small-2506": "0891a78080e1f135cd31eff3f8013abf925c0cfaa171587f643479011250b7a4",
"mistralai/magistral-medium-2506": "6306f4479e72c19425a309df121e1cdc7f92be526034333039342d352eca7968",
"mistralai/magistral-medium-2506:thinking": "917662303c137be37c5cad240e7968afb333ce5c9638662a3e5099dcf310cc8c",
"google/gemini-2.5-pro-preview": "8a1e12831eebea55d7983ba3bb53410a4a10cc7d27162fef6be714379294ecee",
"deepseek/deepseek-r1-distill-qwen-7b": "70e7c90b9b2c74524a3683eec82d753dee51cd94cc478278870808d0389b031a",
"deepseek/deepseek-r1-0528-qwen3-8b:free": "0425e050aaace3dececbd2aae997d0d95e35ff128a5d5af6032f8f2605963622",
"deepseek/deepseek-r1-0528-qwen3-8b": "e4168c3559b4b7b084b0470d7e283882322c8836fc293ca3b125e5fbb0446cd3",
"deepseek/deepseek-r1-0528:free": "9522421966aeca13617bc52f6a6da489180c37794c12d3819d9dcd3d11859214",
"deepseek/deepseek-r1-0528": "16b03236a5cb7aa23ddec24ac0b1b37d5f105ebf162eeb3fae1b284696440005",
"sarvamai/sarvam-m:free": "d58b8a539a406f4bfcdae71d82e4b8a5192ff76f0b9992c2325be4f66bfde948",
"thedrummer/valkyrie-49b-v1": "62045e818cc373b717e5644a3ca985970e471852d7ea488f512fc1307cb79f90",
"anthropic/claude-opus-4": "aee10aedb62ee6361b4127fb26314ed7f81cbbf0e806f03e967ca608822feed2",
"anthropic/claude-sonnet-4": "74c68f6036d0a6ab369425b8b9d348932d3d51dd7ee39edb2cb09c570ae93182",
"mistralai/devstral-small-2505:free": "9250fdc0906615bfcbe624459e869a26bb7ff683d3ca6c8dc3f5462a72f3d840",
"mistralai/devstral-small-2505": "0edd14d518610f145017622aab06ce8292c3d382c251c8f3812996d5b556ba43",
"google/gemma-3n-e4b-it:free": "0b7837ec91194d1c65fb086868ba93d523c98c15724c6402a5e5052eb8b270f0",
"google/gemma-3n-e4b-it": "3eafedf3f6b379cce2e6b147499cb3dec1f7ef6d8d915320cbec5b86d86666fc",
"mistralai/mistral-medium-3": "dd78f6f71098c1028e725e01d8f7d5315db922dc72cd8530693a81918c949d82",
"google/gemini-2.5-pro-preview-05-06": "d4c165f409e68d33501a4462fa69bbcf156476cdf41f8b240a5d22d12b1550a9",
"arcee-ai/spotlight": "f9c9dff997b39b9f3ab91a7294ac3e7e10fc7b087c2a41e7ed25ef6493ea0662",
"arcee-ai/maestro-reasoning": "f5c1f26cb788c8838e6c45329ed347208a25e1dd2beb34c882e37f0c9fdff688",
"arcee-ai/virtuoso-large": "a0abd38b0f9428add39d412812774cc14480b8e84a42908faa5ea77e7c6fba60",
"arcee-ai/coder-large": "4da4e0d606d1ef63330d2361279c6671e5e9deec5e038df38a0674dff0a68fa3",
"microsoft/phi-4-reasoning-plus": "79cab07c64a5d3850d07e9aedb785400f46aa2c566d2016833cfe8682ca492e8",
"inception/mercury-coder": "6e61452c73bb7fdc0a1e509e7b9fa0489549e00651516b044c7752af8fd3b91d",
"qwen/qwen3-4b:free": "b598f39f5ebc578e23ec24c8c24fa70281bde10b5d4aba5a5d9acab078c548df",
"deepseek/deepseek-prover-v2": "15f052ad059c58ca738a8f1d4f73b82640328a81e28f9bee0e70d443da2ee229",
"meta-llama/llama-guard-4-12b": "206c5ee61d9c4c6c9f15ad3f13a861d4bb8fb75a01a75dc5da8fd37986aef24a",
"qwen/qwen3-30b-a3b:free": "b52178b3df0a310bc56716a7dd1ed5d153bf9a493ed7e679ae7f6bd77d9c160f",
"qwen/qwen3-30b-a3b": "9e7b2fea31b30a70b1928259fc1c88c40a9eda6ffedc334379f0759af6380ed3",
"qwen/qwen3-8b:free": "3a9eae6e7eaed327a18eb0f51b47b231823f7577d4c7b377b5e5b27e9d913efa",
"qwen/qwen3-8b": "6da59a5137ba39660e36bda5c47248fb0e95b459b7ca00861daf8254bc78b27d",
"qwen/qwen3-14b:free": "b60164261517c7a59a073c828e96480c3f8199e52d551d0f62a408bd0f2b4cf5",
"qwen/qwen3-14b": "a642d06b21c896151a27b5df6826b0f05659aeb71372cd3ce9e4b9c0a0972cc4",
"qwen/qwen3-32b": "9d3b8620b2ac6b87bb2881d204447c8b609f72b791f6ce280358148cc54ae7ef",
"qwen/qwen3-235b-a22b:free": "4c35841f480e4e779bab5c2827cda58a9947620c5f112192c1f7b47450f7b99c",
"qwen/qwen3-235b-a22b": "a69d760e1f3ebf04322f7d9e2df225009e28f81d7287e00809f4ce305c05989f",
"tngtech/deepseek-r1t-chimera:free": "258da0a7a32fbff9c3317d05be7926c53c8607bc1da922ebccb23094e7eb1f1d",
"microsoft/mai-ds-r1:free": "99b12cff575a80b2ca09a2d84980c4b479fbfccfaab91666ecc12a03b6d16f9c",
"thudm/glm-z1-32b:free": "b25e1dbcbd2c0bf66de8c1979250f623438691ac5c3e8cc6cbe1ad9f5dc24858",
"thudm/glm-4-32b:free": "11c66925506297bb76f1418803c8e3b4555774cf2bedf4fa8dcb8b84431714c9",
"thudm/glm-4-32b": "366cedcb1125d7ee7ef138d22cbaf3072dd1fbd773e0ed84107682a02e8a97ce",
"shisa-ai/shisa-v2-llama3.3-70b:free": "be70337ce51317ff66489c6bd049a7a9074c015ef03c72c81beb01b3dcfebded",
"openai/gpt-4.1": "6321d9eec6337b3b6e415f6187814ca7231aa50c9240c02a592875e70ee84309",
"openai/gpt-4.1-mini": "a8c86b04f11324bfbca9b0b4088c47ed69f0c794b903ffd5e0cd7afffd3d8380",
"openai/gpt-4.1-nano": "edbdd24c2df0a8a4678b0736d4211719f7d21d9a7b8cafa229922500e815f1de",
"eleutherai/llemma_7b": "db1655663eedbba8d019cd48434ca5d655d18af4cb82ed94ebce84a4319e2640",
"alfredpros/codellama-7b-instruct-solidity": "5edbcca60dd314ff41649093858711e3d738b9fbed80a725ac04e8d7031a0b9d",
"arliai/qwq-32b-arliai-rpr-v1:free": "93e238fec8563185bb79d33df8be0ba1f6b30b9f9645c287746af6f441c5a449",
"agentica-org/deepcoder-14b-preview:free": "3e3062b63e80333cc96652648e207237e287c84294b1a6dbdfca2b246a7d7bed",
"moonshotai/kimi-vl-a3b-thinking:free": "32265c2ff1f0c5df12db5a1d3dee78a3cbc8e54b902fb681ef33bd8fa120cd0e",
"x-ai/grok-3-mini-beta": "97cb3afe921a5976bbf3d4986071d0424f7cde1e080097408bc49f9699bc0914",
"x-ai/grok-3-beta": "16c91e0fa6d2364758e2603be1951f156b5bd9505787fb050fceded33e5ea764",
"nvidia/llama-3.3-nemotron-super-49b-v1": "b68b9c15e668b0112f53d97c2658c11ddc3f05f5a62ad9231a86c4ac61188ffe",
"meta-llama/llama-4-maverick": "287dd1da6e2f03d5ab2bbabb18a078498361590decbd97f07ca04c292c1f18c4",
"meta-llama/llama-4-scout": "fbf40b89217deda5aaebf6a57f04c9a16e96828a38a4965a88a59d7c103ae896",
"scb10x/llama3.1-typhoon2-70b-instruct": "c3cbbd1fd53008b6739be575614ce6e0f3ab53c02da3c9e357d47d330e49f2fd",
"qwen/qwen2.5-vl-32b-instruct:free": "c0ef74999dd122a07f276e1d1c4c3707729cd85193c8a54ac2f393b5deb62f6c",
"qwen/qwen2.5-vl-32b-instruct": "19cee8d949649eb721fe875b6188f065d23e6e0f2fb394241ac73f88f2fe43ac",
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