File size: 4,694 Bytes
f0743f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 | const { z } = require('zod');
const axios = require('axios');
const { Ollama } = require('ollama');
const { sleep } = require('@librechat/agents');
const { resolveHeaders } = require('@librechat/api');
const { logger } = require('@librechat/data-schemas');
const { Constants } = require('librechat-data-provider');
const { deriveBaseURL } = require('~/utils');
const ollamaPayloadSchema = z.object({
mirostat: z.number().optional(),
mirostat_eta: z.number().optional(),
mirostat_tau: z.number().optional(),
num_ctx: z.number().optional(),
repeat_last_n: z.number().optional(),
repeat_penalty: z.number().optional(),
temperature: z.number().optional(),
seed: z.number().nullable().optional(),
stop: z.array(z.string()).optional(),
tfs_z: z.number().optional(),
num_predict: z.number().optional(),
top_k: z.number().optional(),
top_p: z.number().optional(),
stream: z.optional(z.boolean()),
model: z.string(),
});
/**
* @param {string} imageUrl
* @returns {string}
* @throws {Error}
*/
const getValidBase64 = (imageUrl) => {
const parts = imageUrl.split(';base64,');
if (parts.length === 2) {
return parts[1];
} else {
logger.error('Invalid or no Base64 string found in URL.');
}
};
class OllamaClient {
constructor(options = {}) {
const host = deriveBaseURL(options.baseURL ?? 'http://localhost:11434');
this.streamRate = options.streamRate ?? Constants.DEFAULT_STREAM_RATE;
this.headers = options.headers ?? {};
/** @type {Ollama} */
this.client = new Ollama({ host });
}
/**
* Fetches Ollama models from the specified base API path.
* @param {string} baseURL
* @param {Object} [options] - Optional configuration
* @param {Partial<IUser>} [options.user] - User object for header resolution
* @param {Record<string, string>} [options.headers] - Headers to include in the request
* @returns {Promise<string[]>} The Ollama models.
* @throws {Error} Throws if the Ollama API request fails
*/
static async fetchModels(baseURL, options = {}) {
if (!baseURL) {
return [];
}
const ollamaEndpoint = deriveBaseURL(baseURL);
const resolvedHeaders = resolveHeaders({
headers: options.headers,
user: options.user,
});
/** @type {Promise<AxiosResponse<OllamaListResponse>>} */
const response = await axios.get(`${ollamaEndpoint}/api/tags`, {
headers: resolvedHeaders,
timeout: 5000,
});
const models = response.data.models.map((tag) => tag.name);
return models;
}
/**
* @param {ChatCompletionMessage[]} messages
* @returns {OllamaMessage[]}
*/
static formatOpenAIMessages(messages) {
const ollamaMessages = [];
for (const message of messages) {
if (typeof message.content === 'string') {
ollamaMessages.push({
role: message.role,
content: message.content,
});
continue;
}
let aggregatedText = '';
let imageUrls = [];
for (const content of message.content) {
if (content.type === 'text') {
aggregatedText += content.text + ' ';
} else if (content.type === 'image_url') {
imageUrls.push(getValidBase64(content.image_url.url));
}
}
const ollamaMessage = {
role: message.role,
content: aggregatedText.trim(),
};
if (imageUrls.length > 0) {
ollamaMessage.images = imageUrls;
}
ollamaMessages.push(ollamaMessage);
}
return ollamaMessages;
}
/***
* @param {Object} params
* @param {ChatCompletionPayload} params.payload
* @param {onTokenProgress} params.onProgress
* @param {AbortController} params.abortController
*/
async chatCompletion({ payload, onProgress, abortController = null }) {
let intermediateReply = '';
const parameters = ollamaPayloadSchema.parse(payload);
const messages = OllamaClient.formatOpenAIMessages(payload.messages);
if (parameters.stream) {
const stream = await this.client.chat({
messages,
...parameters,
});
for await (const chunk of stream) {
const token = chunk.message.content;
intermediateReply += token;
onProgress(token);
if (abortController.signal.aborted) {
stream.controller.abort();
break;
}
await sleep(this.streamRate);
}
}
// TODO: regular completion
else {
// const generation = await this.client.generate(payload);
}
return intermediateReply;
}
catch(err) {
logger.error('[OllamaClient.chatCompletion]', err);
throw err;
}
}
module.exports = { OllamaClient, ollamaPayloadSchema };
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