jacoblee93
13 public vals
Joined May 25, 2023
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import process from "node:process";
export const streamingTest = (async () => {
const { OpenAI } = await import("https://esm.sh/langchain/llms/openai");
// To enable streaming, we pass in `streaming: true` to the LLM constructor.
// Additionally, we pass in a handler for the `handleLLMNewToken` event.
const chat = new OpenAI({
maxTokens: 25,
streaming: true,
openAIApiKey: process.env.OPENAI_API_KEY,
});
const response = await chat.call("Tell me a joke.", undefined, [
{
handleLLMNewToken(token: string) {
console.log({ token });
},
},
]);
console.log(response);
})();
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import process from "node:process";
// Shows how to use the Brave Search tool in a LangChain agent
export const braveAgent = (async () => {
const { ChatOpenAI } = await import(
"https://esm.sh/langchain/chat_models/openai"
);
const { BraveSearch } = await import("https://esm.sh/langchain/tools");
const { Calculator } = await import(
"https://esm.sh/langchain/tools/calculator"
);
const { initializeAgentExecutorWithOptions } = await import(
"https://esm.sh/langchain/agents"
);
const model = new ChatOpenAI({
temperature: 0,
openAIApiKey: process.env.OPENAI_API_KEY,
});
const tools = [
new BraveSearch({
apiKey: process.env.BRAVE_SEARCH_API_KEY,
}),
new Calculator(),
];
const executor = await initializeAgentExecutorWithOptions(tools, model, {
agentType: "chat-zero-shot-react-description",
verbose: true,
});
const input =
`Who is Dua Lipa's boyfriend? What is his current age raised to the 0.23 power?`;
console.log(`Executing with input "${input}"...`);
const result = await executor.call({ input });
return result;
})();
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import process from "node:process";
export const langchainEx = (async () => {
const { ChatOpenAI } = await import(
"https://esm.sh/langchain/chat_models/openai"
);
const { PromptTemplate } = await import("https://esm.sh/langchain/prompts");
const { LLMChain } = await import("https://esm.sh/langchain/chains");
const model = new ChatOpenAI({
temperature: 0.9,
openAIApiKey: process.env.OPENAI_API_KEY,
verbose: true,
});
const template = "What is a good name for a company that makes {product}?";
const prompt = new PromptTemplate({
template: template,
inputVariables: ["product"],
});
const chain = new LLMChain({ llm: model, prompt: prompt, verbose: true });
const res = await chain.call({ product: "colorful socks" });
return res;
})();
// Forked from @stevekrouse.langchainEx