code stringlengths 24 2.07M | docstring stringlengths 25 85.3k | func_name stringlengths 1 92 | language stringclasses 1
value | repo stringlengths 5 64 | path stringlengths 4 172 | url stringlengths 44 218 | license stringclasses 7
values |
|---|---|---|---|---|---|---|---|
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [], // This is the specific attachment for only this prompt
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
retu... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`Mistral chat: ${this.model} is not valid for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.openai.... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`Mistral chat: ${this.model} is not valid for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
handleStream(response, stream, responseProps) {
return handleDefaultStreamResponseV2(response, stream, responseProps);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/mistral/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/mistral/index.js | MIT |
constructor() {
if (ContextWindowFinder.instance) return ContextWindowFinder.instance;
ContextWindowFinder.instance = this;
if (!fs.existsSync(this.cacheLocation))
fs.mkdirSync(this.cacheLocation, { recursive: true });
// If the cache is stale or not found at all, pull the model map from remote
... | Mapping for AnythingLLM provider <> LiteLLM provider
@type {Record<string, string>} | constructor | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/modelMap/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/modelMap/index.js | MIT |
log(text, ...args) {
console.log(`\x1b[33m[ContextWindowFinder]\x1b[0m ${text}`, ...args);
} | Mapping for AnythingLLM provider <> LiteLLM provider
@type {Record<string, string>} | log | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/modelMap/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/modelMap/index.js | MIT |
get isCacheStale() {
if (!fs.existsSync(this.cacheFileExpiryPath)) return true;
const cachedAt = fs.readFileSync(this.cacheFileExpiryPath, "utf8");
return Date.now() - cachedAt > ContextWindowFinder.expiryMs;
} | Checks if the cache is stale by checking if the cache file exists and if the cache file is older than the expiry time.
@returns {boolean} | isCacheStale | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/modelMap/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/modelMap/index.js | MIT |
get cachedModelMap() {
if (!fs.existsSync(this.cacheFilePath)) {
this.log(`\x1b[33m
--------------------------------
[WARNING] Model map cache is not found!
Invalid context windows will be returned leading to inaccurate model responses
or smaller context windows than expected.
You can fix this by restarting A... | Gets the cached model map.
Always returns the available model map - even if it is expired since re-pulling
the model map only occurs on container start/system start.
@returns {Record<string, Record<string, number>> | null} - The cached model map | cachedModelMap | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/modelMap/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/modelMap/index.js | MIT |
get(provider = null, model = null) {
if (!provider || !this.cachedModelMap || !this.cachedModelMap[provider])
return null;
if (!model) return this.cachedModelMap[provider];
const modelContextWindow = this.cachedModelMap[provider][model];
if (!modelContextWindow) {
this.log("Invalid access t... | Gets the context window for a given provider and model.
If the provider is not found, null is returned.
If the model is not found, the provider's entire model map is returned.
if both provider and model are provided, the context window for the given model is returned.
@param {string|null} provider - The provider to g... | get | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/modelMap/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/modelMap/index.js | MIT |
models() {
if (!fs.existsSync(this.cacheModelPath)) return {};
return safeJsonParse(
fs.readFileSync(this.cacheModelPath, { encoding: "utf-8" }),
{}
);
} | Novita has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the NOVITA_LLM_TIMEOUT_MS value
@returns {number} The timeout value in milliseco... | models | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
streamingEnabled() {
return "streamGetChatCompletion" in this;
} | Novita has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the NOVITA_LLM_TIMEOUT_MS value
@returns {number} The timeout value in milliseco... | streamingEnabled | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
static promptWindowLimit(modelName) {
const cacheModelPath = path.resolve(cacheFolder, "models.json");
const availableModels = fs.existsSync(cacheModelPath)
? safeJsonParse(
fs.readFileSync(cacheModelPath, { encoding: "utf-8" }),
{}
)
: {};
return availableModels[mode... | Novita has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the NOVITA_LLM_TIMEOUT_MS value
@returns {number} The timeout value in milliseco... | promptWindowLimit | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
promptWindowLimit() {
const availableModels = this.models();
return availableModels[this.model]?.maxLength || 4096;
} | Novita has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the NOVITA_LLM_TIMEOUT_MS value
@returns {number} The timeout value in milliseco... | promptWindowLimit | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async isValidChatCompletionModel(model = "") {
await this.#syncModels();
const availableModels = this.models();
return availableModels.hasOwnProperty(model);
} | Novita has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the NOVITA_LLM_TIMEOUT_MS value
@returns {number} The timeout value in milliseco... | isValidChatCompletionModel | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [],
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
return [
prompt,
...formatChatHistory(chatHistor... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`Novita chat: ${this.model} is not valid for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.openai.c... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`Novita chat: ${this.model} is not valid for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
handleStream(response, stream, responseProps) {
const timeoutThresholdMs = this.timeout;
const { uuid = uuidv4(), sources = [] } = responseProps;
return new Promise(async (resolve) => {
let fullText = "";
let lastChunkTime = null; // null when first token is still not received.
// Establ... | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement({
completion_tokens: LLMPerformanceMonitor.countTokens(fullText),
});
clientAbortedHandler(resolve, fullText);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement({
completion_tokens: LLMPerformanceMonitor.countTokens(fullText),
});
clientAbortedHandler(resolve, fullText);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
async function fetchNovitaModels() {
return await fetch(`https://api.novita.ai/v3/openai/models`, {
method: "GET",
headers: {
"Content-Type": "application/json",
},
})
.then((res) => res.json())
.then(({ data = [] }) => {
const models = {};
data.forEach((model) => {
mod... | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | fetchNovitaModels | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/novita/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/novita/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [],
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
return [
prompt,
...formatChatHistory(chatHistor... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!this.model)
throw new Error(
`NVIDIA NIM chat: ${this.model} is not valid or defined model for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.nvidiaNim.chat.completions
... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!this.model)
throw new Error(
`NVIDIA NIM chat: ${this.model} is not valid or defined model for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
this.nvidiaNim.chat... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
handleStream(response, stream, responseProps) {
return handleDefaultStreamResponseV2(response, stream, responseProps);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
function parseNvidiaNimBasePath(providedBasePath = "") {
try {
const baseURL = new URL(providedBasePath);
const basePath = `${baseURL.origin}/v1`;
return basePath;
} catch (e) {
return providedBasePath;
}
} | Parse the base path for the Nvidia NIM container API. Since the base path must end in /v1 and cannot have a trailing slash,
and the user can possibly set it to anything and likely incorrectly due to pasting behaviors, we need to ensure it is in the correct format.
@param {string} basePath
@returns {string} | parseNvidiaNimBasePath | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/nvidiaNim/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/nvidiaNim/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [],
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
return [
prompt,
...formatChatHistory(chatHistor... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.client
.chat({
model: this.model,
stream: false,
messages,
keep_alive: this.keepAlive,
options: {
temper... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
this.client.chat({
model: this.model,
stream: true,
messages,
keep_alive: this.keepAlive,
options: {
temperature,
... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
handleStream(response, stream, responseProps) {
const { uuid = uuidv4(), sources = [] } = responseProps;
return new Promise(async (resolve) => {
let fullText = "";
let usage = {
prompt_tokens: 0,
completion_tokens: 0,
};
// Establish listener to early-abort a streaming ... | Handles streaming responses from Ollama.
@param {import("express").Response} response
@param {import("../../helpers/chat/LLMPerformanceMonitor").MonitoredStream} stream
@param {import("express").Request} request
@returns {Promise<string>} | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement(usage);
clientAbortedHandler(resolve, fullText);
} | Handles streaming responses from Ollama.
@param {import("express").Response} response
@param {import("../../helpers/chat/LLMPerformanceMonitor").MonitoredStream} stream
@param {import("express").Request} request
@returns {Promise<string>} | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement(usage);
clientAbortedHandler(resolve, fullText);
} | Handles streaming responses from Ollama.
@param {import("express").Response} response
@param {import("../../helpers/chat/LLMPerformanceMonitor").MonitoredStream} stream
@param {import("express").Request} request
@returns {Promise<string>} | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Handles streaming responses from Ollama.
@param {import("express").Response} response
@param {import("../../helpers/chat/LLMPerformanceMonitor").MonitoredStream} stream
@param {import("express").Request} request
@returns {Promise<string>} | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Handles streaming responses from Ollama.
@param {import("express").Response} response
@param {import("../../helpers/chat/LLMPerformanceMonitor").MonitoredStream} stream
@param {import("express").Request} request
@returns {Promise<string>} | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Handles streaming responses from Ollama.
@param {import("express").Response} response
@param {import("../../helpers/chat/LLMPerformanceMonitor").MonitoredStream} stream
@param {import("express").Request} request
@returns {Promise<string>} | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ollama/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ollama/index.js | MIT |
get isOTypeModel() {
return this.model.startsWith("o");
} | Check if the model is an o1 model.
@returns {boolean} | isOTypeModel | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
streamingEnabled() {
// o3-mini is the only o-type model that supports streaming
if (this.isOTypeModel && this.model !== "o3-mini") return false;
return "streamGetChatCompletion" in this;
} | Check if the model is an o1 model.
@returns {boolean} | streamingEnabled | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
static promptWindowLimit(modelName) {
return MODEL_MAP.get("openai", modelName) ?? 4_096;
} | Check if the model is an o1 model.
@returns {boolean} | promptWindowLimit | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
promptWindowLimit() {
return MODEL_MAP.get("openai", this.model) ?? 4_096;
} | Check if the model is an o1 model.
@returns {boolean} | promptWindowLimit | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
async isValidChatCompletionModel(modelName = "") {
const isPreset =
modelName.toLowerCase().includes("gpt") ||
modelName.toLowerCase().startsWith("o");
if (isPreset) return true;
const model = await this.openai.models
.retrieve(modelName)
.then((modelObj) => modelObj)
.catch((... | Check if the model is an o1 model.
@returns {boolean} | isValidChatCompletionModel | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [], // This is the specific attachment for only this prompt
}) {
// o1 Models do not support the "system" role
// in order to combat this, we can use the "user" role as a replacement fo... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`OpenAI chat: ${this.model} is not valid for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.openai.c... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`OpenAI chat: ${this.model} is not valid for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
handleStream(response, stream, responseProps) {
return handleDefaultStreamResponseV2(response, stream, responseProps);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openAi/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openAi/index.js | MIT |
get isPerplexityModel() {
return this.model.startsWith("perplexity/");
} | Returns true if the model is a Perplexity model.
OpenRouter has support for a lot of models and we have some special handling for Perplexity models
that support in-line citations.
@returns {boolean} | isPerplexityModel | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
enrichToken({ token, citations = [] }) {
if (!Array.isArray(citations) || citations.length === 0) return token;
return token.replace(/\[(\d+)\]/g, (match, index) => {
const citationIndex = parseInt(index) - 1;
return citations[citationIndex]
? `[[${index}](${citations[citationIndex]})]`
... | Generic formatting of a token for the following use cases:
- Perplexity models that return inline citations in the token text
@param {{token: string, citations: string[]}} options - The token text and citations.
@returns {string} - The formatted token text. | enrichToken | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
log(text, ...args) {
console.log(`\x1b[36m[${this.constructor.name}]\x1b[0m ${text}`, ...args);
} | Generic formatting of a token for the following use cases:
- Perplexity models that return inline citations in the token text
@param {{token: string, citations: string[]}} options - The token text and citations.
@returns {string} - The formatted token text. | log | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
models() {
if (!fs.existsSync(this.cacheModelPath)) return {};
return safeJsonParse(
fs.readFileSync(this.cacheModelPath, { encoding: "utf-8" }),
{}
);
} | OpenRouter has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the OPENROUTER_TIMEOUT_MS value
@returns {number} The timeout value in milli... | models | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
streamingEnabled() {
return "streamGetChatCompletion" in this;
} | OpenRouter has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the OPENROUTER_TIMEOUT_MS value
@returns {number} The timeout value in milli... | streamingEnabled | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
static promptWindowLimit(modelName) {
const cacheModelPath = path.resolve(cacheFolder, "models.json");
const availableModels = fs.existsSync(cacheModelPath)
? safeJsonParse(
fs.readFileSync(cacheModelPath, { encoding: "utf-8" }),
{}
)
: {};
return availableModels[mode... | OpenRouter has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the OPENROUTER_TIMEOUT_MS value
@returns {number} The timeout value in milli... | promptWindowLimit | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
promptWindowLimit() {
const availableModels = this.models();
return availableModels[this.model]?.maxLength || 4096;
} | OpenRouter has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the OPENROUTER_TIMEOUT_MS value
@returns {number} The timeout value in milli... | promptWindowLimit | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async isValidChatCompletionModel(model = "") {
await this.#syncModels();
const availableModels = this.models();
return availableModels.hasOwnProperty(model);
} | OpenRouter has various models that never return `finish_reasons` and thus leave the stream open
which causes issues in subsequent messages. This timeout value forces us to close the stream after
x milliseconds. This is a configurable value via the OPENROUTER_TIMEOUT_MS value
@returns {number} The timeout value in milli... | isValidChatCompletionModel | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [],
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
return [
prompt,
...formatChatHistory(chatHistor... | Parses and prepends reasoning from the response and returns the full text response.
@param {Object} response
@returns {string} | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`OpenRouter chat: ${this.model} is not valid for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.open... | Parses and prepends reasoning from the response and returns the full text response.
@param {Object} response
@returns {string} | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`OpenRouter chat: ${this.model} is not valid for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
... | Parses and prepends reasoning from the response and returns the full text response.
@param {Object} response
@returns {string} | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
handleStream(response, stream, responseProps) {
const timeoutThresholdMs = this.timeout;
const { uuid = uuidv4(), sources = [] } = responseProps;
return new Promise(async (resolve) => {
let fullText = "";
let reasoningText = "";
let lastChunkTime = null; // null when first token is still ... | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement({
completion_tokens: LLMPerformanceMonitor.countTokens(fullText),
});
clientAbortedHandler(resolve, fullText);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement({
completion_tokens: LLMPerformanceMonitor.countTokens(fullText),
});
clientAbortedHandler(resolve, fullText);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
async function fetchOpenRouterModels() {
return await fetch(`https://openrouter.ai/api/v1/models`, {
method: "GET",
headers: {
"Content-Type": "application/json",
},
})
.then((res) => res.json())
.then(({ data = [] }) => {
const models = {};
data.forEach((model) => {
mo... | Handles the default stream response for a chat.
@param {import("express").Response} response
@param {import('../../helpers/chat/LLMPerformanceMonitor').MonitoredStream} stream
@param {Object} responseProps
@returns {Promise<string>} | fetchOpenRouterModels | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/openRouter/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/openRouter/index.js | MIT |
enrichToken(token, citations) {
if (!Array.isArray(citations) || citations.length === 0) return token;
return token.replace(/\[(\d+)\]/g, (match, index) => {
const citationIndex = parseInt(index) - 1;
return citations[citationIndex]
? `[[${index}](${citations[citationIndex]})]`
: mat... | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | enrichToken | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
handleStream(response, stream, responseProps) {
const timeoutThresholdMs = 800;
const { uuid = uuidv4(), sources = [] } = responseProps;
let hasUsageMetrics = false;
let pplxCitations = []; // Array of links
let usage = {
completion_tokens: 0,
};
return new Promise(async (resolve) => ... | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement(usage);
clientAbortedHandler(resolve, fullText);
} | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
handleAbort = () => {
stream?.endMeasurement(usage);
clientAbortedHandler(resolve, fullText);
} | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | handleAbort | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Enrich a token with citations if available for in-line citations.
@param {string} token - The token to enrich.
@param {Array} citations - The citations to enrich the token with.
@returns {string} The enriched token. | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/perplexity/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/perplexity/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
// attachments = [], - not supported
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
return [prompt, ...chatHistory, { role: "... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`PPIO chat: ${this.model} is not valid for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.openai.cha... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!(await this.isValidChatCompletionModel(this.model)))
throw new Error(
`PPIO chat: ${this.model} is not valid for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
t... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
handleStream(response, stream, responseProps) {
return handleDefaultStreamResponseV2(response, stream, responseProps);
} | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
async function fetchPPIOModels() {
return await fetch(`https://api.ppinfra.com/v3/openai/models`, {
method: "GET",
headers: {
"Content-Type": "application/json",
Authorization: `Bearer ${process.env.PPIO_API_KEY}`,
},
})
.then((res) => res.json())
.then(({ data = [] }) => {
con... | Generates appropriate content array for a message + attachments.
@param {{userPrompt:string, attachments: import("../../helpers").Attachment[]}}
@returns {string|object[]} | fetchPPIOModels | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/ppio/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/ppio/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [],
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
return [
prompt,
...formatChatHistory(chatHistor... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.openai.chat.completions
.create({
model: this.model,
messages,
temperature,
})
.catch((e) => {
throw new Error... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
this.openai.chat.completions.create({
model: this.model,
stream: true,
messages,
temperature,
}),
messages
);
ret... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
handleStream(response, stream, responseProps) {
return handleDefaultStreamResponseV2(response, stream, responseProps);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
async embedTextInput(textInput) {
return await this.embedder.embedTextInput(textInput);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedTextInput | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
async embedChunks(textChunks = []) {
return await this.embedder.embedChunks(textChunks);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | embedChunks | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
async compressMessages(promptArgs = {}, rawHistory = []) {
const { messageArrayCompressor } = require("../../helpers/chat");
const messageArray = this.constructPrompt(promptArgs);
return await messageArrayCompressor(this, messageArray, rawHistory);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | compressMessages | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/textGenWebUI/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/textGenWebUI/index.js | MIT |
constructPrompt({
systemPrompt = "",
contextTexts = [],
chatHistory = [],
userPrompt = "",
attachments = [], // This is the specific attachment for only this prompt
}) {
const prompt = {
role: "system",
content: `${systemPrompt}${this.#appendContext(contextTexts)}`,
};
retu... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | constructPrompt | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/xai/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/xai/index.js | MIT |
async getChatCompletion(messages = null, { temperature = 0.7 }) {
if (!this.isValidChatCompletionModel(this.model))
throw new Error(
`xAI chat: ${this.model} is not valid for chat completion!`
);
const result = await LLMPerformanceMonitor.measureAsyncFunction(
this.openai.chat.complet... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | getChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/xai/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/xai/index.js | MIT |
async streamGetChatCompletion(messages = null, { temperature = 0.7 }) {
if (!this.isValidChatCompletionModel(this.model))
throw new Error(
`xAI chat: ${this.model} is not valid for chat completion!`
);
const measuredStreamRequest = await LLMPerformanceMonitor.measureStream(
this.opena... | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | streamGetChatCompletion | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/xai/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/xai/index.js | MIT |
handleStream(response, stream, responseProps) {
return handleDefaultStreamResponseV2(response, stream, responseProps);
} | Construct the user prompt for this model.
@param {{attachments: import("../../helpers").Attachment[]}} param0
@returns | handleStream | javascript | Mintplex-Labs/anything-llm | server/utils/AiProviders/xai/index.js | https://github.com/Mintplex-Labs/anything-llm/blob/master/server/utils/AiProviders/xai/index.js | MIT |
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