lmao (glm+qwen newest addition)

This commit is contained in:
reanon
2025-09-23 03:13:37 +02:00
commit b1ba80135a
244 changed files with 41314 additions and 0 deletions
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import Database from "better-sqlite3";
import { DATABASE_VERSION, migrateDatabase } from "../src/shared/database";
import { logger } from "../src/logger";
import { config } from "../src/config";
const log = logger.child({ module: "scripts/migrate" });
async function runMigration() {
let targetVersion = Number(process.argv[2]) || undefined;
if (!targetVersion) {
log.info("Enter target version or leave empty to use the latest version.");
process.stdin.resume();
process.stdin.setEncoding("utf8");
const input = await new Promise<string>((resolve) => {
process.stdin.on("data", (text) => {
resolve((String(text) || "").trim());
});
});
process.stdin.pause();
targetVersion = Number(input);
if (!targetVersion) {
targetVersion = DATABASE_VERSION;
}
}
const db = new Database(config.sqliteDataPath, {
verbose: (msg, ...args) => log.debug({ args }, String(msg)),
});
const currentVersion = db.pragma("user_version", { simple: true });
log.info({ currentVersion, targetVersion }, "Running migrations.");
migrateDatabase(targetVersion, db);
}
runMigration().catch((error) => {
log.error(error, "Migration failed.");
process.exit(1);
});
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# OAI Reverse Proxy
###
# @name OpenAI -- Chat Completions
POST https://api.openai.com/v1/chat/completions
Authorization: Bearer {{oai-key-1}}
Content-Type: application/json
{
"model": "gpt-3.5-turbo",
"max_tokens": 30,
"stream": false,
"messages": [
{
"role": "user",
"content": "This is a test prompt."
}
]
}
###
# @name OpenAI -- Text Completions
POST https://api.openai.com/v1/completions
Authorization: Bearer {{oai-key-1}}
Content-Type: application/json
{
"model": "gpt-3.5-turbo-instruct",
"max_tokens": 30,
"stream": false,
"prompt": "This is a test prompt where"
}
###
# @name OpenAI -- Create Embedding
POST https://api.openai.com/v1/embeddings
Authorization: Bearer {{oai-key-1}}
Content-Type: application/json
{
"model": "text-embedding-ada-002",
"input": "This is a test embedding input."
}
###
# @name OpenAI -- Get Organizations
GET https://api.openai.com/v1/organizations
Authorization: Bearer {{oai-key-1}}
###
# @name OpenAI -- Get Models
GET https://api.openai.com/v1/models
Authorization: Bearer {{oai-key-1}}
###
# @name Azure OpenAI -- Chat Completions
POST https://{{azu-resource-name}}.openai.azure.com/openai/deployments/{{azu-deployment-id}}/chat/completions?api-version=2023-09-01-preview
api-key: {{azu-key-1}}
Content-Type: application/json
{
"max_tokens": 1,
"stream": false,
"messages": [
{
"role": "user",
"content": "This is a test prompt."
}
]
}
###
# @name Proxy / OpenAI -- Get Models
GET {{proxy-host}}/proxy/openai/v1/models
Authorization: Bearer {{proxy-key}}
###
# @name Proxy / OpenAI -- Native Chat Completions
POST {{proxy-host}}/proxy/openai/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-4-1106-preview",
"max_tokens": 20,
"stream": true,
"temperature": 1,
"seed": 123,
"messages": [
{
"role": "user",
"content": "phrase one"
}
]
}
###
# @name Proxy / OpenAI -- Native Text Completions
POST {{proxy-host}}/proxy/openai/v1/turbo-instruct/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-3.5-turbo-instruct",
"max_tokens": 20,
"temperature": 0,
"prompt": "Genshin Impact is a game about",
"stream": false
}
###
# @name Proxy / OpenAI -- Chat-to-Text API Translation
# Accepts a chat completion request and reformats it to work with the text completion API. `model` is ignored.
POST {{proxy-host}}/proxy/openai/turbo-instruct/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-4",
"max_tokens": 20,
"stream": true,
"messages": [
{
"role": "user",
"content": "What is the name of the fourth president of the united states?"
},
{
"role": "assistant",
"content": "That would be George Washington."
},
{
"role": "user",
"content": "I don't think that's right..."
}
]
}
###
# @name Proxy / OpenAI -- Create Embedding
POST {{proxy-host}}/proxy/openai/embeddings
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "text-embedding-ada-002",
"input": "This is a test embedding input."
}
###
# @name Proxy / Anthropic -- Native Completion (old API)
POST {{proxy-host}}/proxy/anthropic/v1/complete
Authorization: Bearer {{proxy-key}}
anthropic-version: 2023-01-01
Content-Type: application/json
{
"model": "claude-v1.3",
"max_tokens_to_sample": 20,
"temperature": 0.2,
"stream": true,
"prompt": "What is genshin impact\n\n:Assistant:"
}
###
# @name Proxy / Anthropic -- Native Completion (2023-06-01 API)
POST {{proxy-host}}/proxy/anthropic/v1/complete
Authorization: Bearer {{proxy-key}}
anthropic-version: 2023-06-01
Content-Type: application/json
{
"model": "claude-v1.3",
"max_tokens_to_sample": 20,
"temperature": 0.2,
"stream": true,
"prompt": "What is genshin impact\n\n:Assistant:"
}
###
# @name Proxy / Anthropic -- OpenAI-to-Anthropic API Translation
POST {{proxy-host}}/proxy/anthropic/v1/chat/completions
Authorization: Bearer {{proxy-key}}
#anthropic-version: 2023-06-01
Content-Type: application/json
{
"model": "gpt-3.5-turbo",
"max_tokens": 20,
"stream": false,
"temperature": 0,
"messages": [
{
"role": "user",
"content": "What is genshin impact"
}
]
}
###
# @name Proxy / AWS Claude -- Native Completion
POST {{proxy-host}}/proxy/aws/claude/v1/complete
Authorization: Bearer {{proxy-key}}
anthropic-version: 2023-01-01
Content-Type: application/json
{
"model": "claude-v2",
"max_tokens_to_sample": 10,
"temperature": 0,
"stream": true,
"prompt": "What is genshin impact\n\n:Assistant:"
}
###
# @name Proxy / AWS Claude -- OpenAI-to-Anthropic API Translation
POST {{proxy-host}}/proxy/aws/claude/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-3.5-turbo",
"max_tokens": 50,
"stream": true,
"messages": [
{
"role": "user",
"content": "What is genshin impact?"
}
]
}
###
# @name Proxy / GCP Claude -- Native Completion
POST {{proxy-host}}/proxy/gcp/claude/v1/complete
Authorization: Bearer {{proxy-key}}
anthropic-version: 2023-01-01
Content-Type: application/json
{
"model": "claude-v2",
"max_tokens_to_sample": 10,
"temperature": 0,
"stream": true,
"prompt": "What is genshin impact\n\n:Assistant:"
}
###
# @name Proxy / GCP Claude -- OpenAI-to-Anthropic API Translation
POST {{proxy-host}}/proxy/gcp/claude/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-3.5-turbo",
"max_tokens": 50,
"stream": true,
"messages": [
{
"role": "user",
"content": "What is genshin impact?"
}
]
}
###
# @name Proxy / Azure OpenAI -- Native Chat Completions
POST {{proxy-host}}/proxy/azure/openai/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-4",
"max_tokens": 20,
"stream": true,
"temperature": 1,
"seed": 2,
"messages": [
{
"role": "user",
"content": "Hi what is the name of the fourth president of the united states?"
},
{
"role": "assistant",
"content": "That would be George Washington."
},
{
"role": "user",
"content": "That's not right."
}
]
}
###
# @name Proxy / Google AI -- OpenAI-to-Google AI API Translation
POST {{proxy-host}}/proxy/google-ai/v1/chat/completions
Authorization: Bearer {{proxy-key}}
Content-Type: application/json
{
"model": "gpt-4",
"max_tokens": 42,
"messages": [
{
"role": "user",
"content": "Hi what is the name of the fourth president of the united states?"
}
]
}
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import Database from "better-sqlite3";
import { v4 as uuidv4 } from "uuid";
import { config } from "../src/config";
function generateRandomIP() {
return (
Math.floor(Math.random() * 255) +
"." +
Math.floor(Math.random() * 255) +
"." +
Math.floor(Math.random() * 255) +
"." +
Math.floor(Math.random() * 255)
);
}
function generateRandomDate() {
const end = new Date();
const start = new Date(end);
start.setDate(end.getDate() - 90);
const randomDate = new Date(
start.getTime() + Math.random() * (end.getTime() - start.getTime())
);
return randomDate.toISOString();
}
function generateMockSHA256() {
const characters = 'abcdef0123456789';
let hash = '';
for (let i = 0; i < 64; i++) {
const randomIndex = Math.floor(Math.random() * characters.length);
hash += characters[randomIndex];
}
return hash;
}
function getRandomModelFamily() {
const modelFamilies = [
"turbo",
"gpt4",
"gpt4-32k",
"gpt4-turbo",
"claude",
"claude-opus",
"gemini-pro",
"mistral-tiny",
"mistral-small",
"mistral-medium",
"mistral-large",
"aws-claude",
"aws-claude-opus",
"gcp-claude",
"gcp-claude-opus",
"azure-turbo",
"azure-gpt4",
"azure-gpt4-32k",
"azure-gpt4-turbo",
"dall-e",
"azure-dall-e",
];
return modelFamilies[Math.floor(Math.random() * modelFamilies.length)];
}
(async () => {
const db = new Database(config.sqliteDataPath);
const numRows = 100;
const insertStatement = db.prepare(`
INSERT INTO events (type, ip, date, model, family, hashes, userToken, inputTokens, outputTokens)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)
`);
const users = Array.from({ length: 10 }, () => uuidv4());
function getRandomUser() {
return users[Math.floor(Math.random() * users.length)];
}
const transaction = db.transaction(() => {
for (let i = 0; i < numRows; i++) {
insertStatement.run(
"chat_completion",
generateRandomIP(),
generateRandomDate(),
getRandomModelFamily() + "-" + Math.floor(Math.random() * 100),
getRandomModelFamily(),
Array.from(
{ length: Math.floor(Math.random() * 10) },
generateMockSHA256
).join(","),
getRandomUser(),
Math.floor(Math.random() * 500),
Math.floor(Math.random() * 6000)
);
}
});
transaction();
console.log(`Inserted ${numRows} rows into the events table.`);
db.close();
})();
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// uses the aws sdk to sign a request, then uses axios to send it to the bedrock REST API manually
import axios from "axios";
import { Sha256 } from "@aws-crypto/sha256-js";
import { SignatureV4 } from "@smithy/signature-v4";
import { HttpRequest } from "@smithy/protocol-http";
const AWS_ACCESS_KEY_ID = process.env.AWS_ACCESS_KEY_ID!;
const AWS_SECRET_ACCESS_KEY = process.env.AWS_SECRET_ACCESS_KEY!;
// Copied from amazon bedrock docs
// List models
// ListFoundationModels
// Service: Amazon Bedrock
// List of Bedrock foundation models that you can use. For more information, see Foundation models in the
// Bedrock User Guide.
// Request Syntax
// GET /foundation-models?
// byCustomizationType=byCustomizationType&byInferenceType=byInferenceType&byOutputModality=byOutputModality&byProvider=byProvider
// HTTP/1.1
// URI Request Parameters
// The request uses the following URI parameters.
// byCustomizationType (p. 38)
// List by customization type.
// Valid Values: FINE_TUNING
// byInferenceType (p. 38)
// List by inference type.
// Valid Values: ON_DEMAND | PROVISIONED
// byOutputModality (p. 38)
// List by output modality type.
// Valid Values: TEXT | IMAGE | EMBEDDING
// byProvider (p. 38)
// A Bedrock model provider.
// Pattern: ^[a-z0-9-]{1,63}$
// Request Body
// The request does not have a request body
// Run inference on a text model
// Send an invoke request to run inference on a Titan Text G1 - Express model. We set the accept
// parameter to accept any content type in the response.
// POST https://bedrock.us-east-1.amazonaws.com/model/amazon.titan-text-express-v1/invoke
// -H accept: */*
// -H content-type: application/json
// Payload
// {"inputText": "Hello world"}
// Example response
// Response for the above request.
// -H content-type: application/json
// Payload
// <the model response>
const AMZ_REGION = "us-east-1";
const AMZ_HOST = "invoke-bedrock.us-east-1.amazonaws.com";
async function listModels() {
const httpRequest = new HttpRequest({
method: "GET",
protocol: "https:",
hostname: AMZ_HOST,
path: "/foundation-models",
headers: { ["Host"]: AMZ_HOST },
});
const signedRequest = await signRequest(httpRequest);
const response = await axios.get(
`https://${signedRequest.hostname}${signedRequest.path}`,
{ headers: signedRequest.headers }
);
console.log(response.data);
}
async function invokeModel() {
const model = "anthropic.claude-v1";
const httpRequest = new HttpRequest({
method: "POST",
protocol: "https:",
hostname: AMZ_HOST,
path: `/model/${model}/invoke`,
headers: {
["Host"]: AMZ_HOST,
["accept"]: "*/*",
["content-type"]: "application/json",
},
body: JSON.stringify({
temperature: 0.5,
prompt: "\n\nHuman:Hello world\n\nAssistant:",
max_tokens_to_sample: 10,
}),
});
console.log("httpRequest", httpRequest);
const signedRequest = await signRequest(httpRequest);
const response = await axios.post(
`https://${signedRequest.hostname}${signedRequest.path}`,
signedRequest.body,
{ headers: signedRequest.headers }
);
console.log(response.status);
console.log(response.headers);
console.log(response.data);
console.log("full url", response.request.res.responseUrl);
}
async function signRequest(request: HttpRequest) {
const signer = new SignatureV4({
sha256: Sha256,
credentials: {
accessKeyId: AWS_ACCESS_KEY_ID,
secretAccessKey: AWS_SECRET_ACCESS_KEY,
},
region: AMZ_REGION,
service: "bedrock",
});
return await signer.sign(request, { signingDate: new Date() });
}
// listModels();
// invokeModel();
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const axios = require("axios");
const concurrentRequests = 75;
const headers = {
Authorization: "Bearer test",
"Content-Type": "application/json",
};
const payload = {
model: "gpt-4",
max_tokens: 1,
stream: false,
messages: [{ role: "user", content: "Hi" }],
};
const makeRequest = async (i) => {
try {
const response = await axios.post(
"http://localhost:7860/proxy/google-ai/v1/chat/completions",
payload,
{ headers }
);
console.log(
`Req ${i} finished with status code ${response.status} and response:`,
response.data
);
} catch (error) {
const msg = error.response
console.error(`Error in req ${i}:`, error.message, msg || "");
}
};
const executeRequestsConcurrently = () => {
const promises = [];
for (let i = 1; i <= concurrentRequests; i++) {
console.log(`Starting request ${i}`);
promises.push(makeRequest(i));
}
Promise.all(promises).then(() => {
console.log("All requests finished");
});
};
executeRequestsConcurrently();
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const axios = require("axios");
function randomInteger(max) {
return Math.floor(Math.random() * max + 1);
}
async function testQueue() {
const requests = Array(10).fill(undefined).map(async function() {
const maxTokens = randomInteger(2000);
const headers = {
"Authorization": "Bearer test",
"Content-Type": "application/json",
"X-Forwarded-For": `${randomInteger(255)}.${randomInteger(255)}.${randomInteger(255)}.${randomInteger(255)}`,
};
const payload = {
model: "gpt-4o-mini-2024-07-18",
max_tokens: 20 + maxTokens,
stream: false,
messages: [{role: "user", content: "You are being benchmarked regarding your reliability at outputting exact, machine-comprehensible data. Output the sentence \"The quick brown fox jumps over the lazy dog.\" Do not precede it with quotemarks or any form of preamble, and do not output anything after the sentence."}],
temperature: 0,
};
try {
const response = await axios.post(
"http://localhost:7860/proxy/openai/v1/chat/completions",
payload,
{ headers }
);
if (response.status !== 200) {
console.error(`Request {$maxTokens} finished with status code ${response.status} and response`, response.data);
return;
}
const content = response.data.choices[0].message.content;
console.log(
`Request ${maxTokens} `,
content === "The quick brown fox jumps over the lazy dog." ? "OK" : `mangled: ${content}`
);
} catch (error) {
const msg = error.response;
console.error(`Error in req ${maxTokens}:`, error.message, msg || "");
}
});
await Promise.all(requests);
console.log("All requests finished");
}
testQueue();