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require('dotenv').config();
const { z } = require('zod');
const fs = require('fs');
const yaml = require('js-yaml');
const path = require('path');
const { DynamicStructuredTool } = require('langchain/tools');
const { createOpenAPIChain } = require('langchain/chains');
const { ChatPromptTemplate, HumanMessagePromptTemplate } = require('langchain/prompts');
function addLinePrefix(text, prefix = '// ') {
return text
.split('\n')
.map((line) => prefix + line)
.join('\n');
}
function createPrompt(name, functions) {
const prefix = `// The ${name} tool has the following functions. Determine the desired or most optimal function for the user's query:`;
const functionDescriptions = functions
.map((func) => `// - ${func.name}: ${func.description}`)
.join('\n');
return `${prefix}\n${functionDescriptions}
// You are an expert manager and scrum master. You must provide a detailed intent to better execute the function.
// Always format as such: {{"func": "function_name", "intent": "intent and expected result"}}`;
}
const AuthBearer = z
.object({
type: z.string().includes('service_http'),
authorization_type: z.string().includes('bearer'),
verification_tokens: z.object({
openai: z.string(),
}),
})
.catch(() => false);
const AuthDefinition = z
.object({
type: z.string(),
authorization_type: z.string(),
verification_tokens: z.object({
openai: z.string(),
}),
})
.catch(() => false);
async function readSpecFile(filePath) {
try {
const fileContents = await fs.promises.readFile(filePath, 'utf8');
if (path.extname(filePath) === '.json') {
return JSON.parse(fileContents);
}
return yaml.load(fileContents);
} catch (e) {
console.error(e);
return false;
}
}
async function getSpec(url) {
const RegularUrl = z
.string()
.url()
.catch(() => false);
if (RegularUrl.parse(url) && path.extname(url) === '.json') {
const response = await fetch(url);
return await response.json();
}
const ValidSpecPath = z
.string()
.url()
.catch(async () => {
const spec = path.join(__dirname, '..', '.well-known', 'openapi', url);
if (!fs.existsSync(spec)) {
return false;
}
return await readSpecFile(spec);
});
return ValidSpecPath.parse(url);
}
async function createOpenAPIPlugin({ data, llm, user, message, memory, signal, verbose = false }) {
let spec;
try {
spec = await getSpec(data.api.url, verbose);
} catch (error) {
verbose && console.debug('getSpec error', error);
return null;
}
if (!spec) {
verbose && console.debug('No spec found');
return null;
}
const headers = {};
const { auth, name_for_model, description_for_model, description_for_human } = data;
if (auth && AuthDefinition.parse(auth)) {
verbose && console.debug('auth detected', auth);
const { openai } = auth.verification_tokens;
if (AuthBearer.parse(auth)) {
headers.authorization = `Bearer ${openai}`;
verbose && console.debug('added auth bearer', headers);
}
}
const chainOptions = {
llm,
verbose,
};
if (data.headers && data.headers['librechat_user_id']) {
verbose && console.debug('id detected', headers);
headers[data.headers['librechat_user_id']] = user;
}
if (Object.keys(headers).length > 0) {
verbose && console.debug('headers detected', headers);
chainOptions.headers = headers;
}
if (data.params) {
verbose && console.debug('params detected', data.params);
chainOptions.params = data.params;
}
let history = '';
if (memory) {
verbose && console.debug('openAPI chain: memory detected', memory);
const { history: chat_history } = await memory.loadMemoryVariables({});
history = chat_history?.length > 0 ? `\n\n## Chat History:\n${chat_history}\n` : '';
}
chainOptions.prompt = ChatPromptTemplate.fromMessages([
HumanMessagePromptTemplate.fromTemplate(
`# Use the provided API's to respond to this query:\n\n{query}\n\n## Instructions:\n${addLinePrefix(
description_for_model,
)}${history}`,
),
]);
const chain = await createOpenAPIChain(spec, chainOptions);
const { functions } = chain.chains[0].lc_kwargs.llmKwargs;
return new DynamicStructuredTool({
name: name_for_model,
description_for_model: `${addLinePrefix(description_for_human)}${createPrompt(
name_for_model,
functions,
)}`,
description: `${description_for_human}`,
schema: z.object({
func: z
.string()
.describe(
`The function to invoke. The functions available are: ${functions
.map((func) => func.name)
.join(', ')}`,
),
intent: z
.string()
.describe('Describe your intent with the function and your expected result'),
}),
func: async ({ func = '', intent = '' }) => {
const filteredFunctions = functions.filter((f) => f.name === func);
chain.chains[0].lc_kwargs.llmKwargs.functions = filteredFunctions;
const query = `${message}${func?.length > 0 ? `\n// Intent: ${intent}` : ''}`;
const result = await chain.call({
query,
signal,
});
return result.response;
},
});
}
module.exports = {
getSpec,
readSpecFile,
createOpenAPIPlugin,
};
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