Chat Prompt 中的消息占位符

from langfuse import get_client
 
langfuse = get_client()
 
langfuse.create_prompt(
    name="movie-critic-chat",
    type="chat",
    prompt=[
      { "role": "system", "content": "You are an {{criticlevel}} movie critic" },
      { "type": "placeholder", "name": "chat_history" },
      { "role": "user", "content": "What should I watch next?" },
    ],
    labels=["production"],  # directly promote to production
)

import { LangfuseClient } from "@langfuse/client";
 
const langfuse = new LangfuseClient();
 
await langfuse.prompt.create({
  name: "movie-critic-chat",
  type: "chat",
  prompt: [
    { role: "system", content: "You are an {{criticlevel}} movie critic" },
    { type: "placeholder", name: "chat_history" },
    { role: "user", content: "What should I watch next?" },
  ],
  labels: ["production"], // directly promote to production
});

from langfuse import get_client
 
langfuse = get_client()
 
# Use prompt with placeholders in your application
prompt = langfuse.get_prompt("movie-critic-chat")
 
# Compile the variable and resolve the placeholder with a list of messages.
compiled_prompt = prompt.compile(criticlevel="expert", chat_history=[
  {"role": "user", "content": "I love Ron Fricke movies like Baraka"},
  {"role": "user", "content": "Also, the Korean movie Memories of a Murderer"}
])
 
# -> compiled_prompt = [
#   { "role": "system", "content": "You are an expert movie critic" },
#   { "role": "user", "content": "I love Ron Fricke movies like Baraka" },
#   { "role": "user", "content": "Also, the Korean movie Memories of a Murderer" },
#   { "role": "user", "content": "What should I watch next?" },
# ]

import { LangfuseClient } from "@langfuse/client";
 
const langfuse = new LangfuseClient();
 
const prompt = await langfuse.prompt.get("movie-critic-chat", {
  type: "chat",
});
 
// Compile the variable and resolve the placeholder with a list of messages.
const compiledPrompt = prompt.compile(
  // variables
  { criticlevel: "expert" },
  // placeholders
  {
    chat_history: [
      { role: "user", content: "I love Ron Fricke movies like Baraka" },
      {
        role: "user",
        content: "Also, the Korean movie Memories of a Murderer",
      },
    ],
  }
);
 
// -> compiledPrompt = [
//   { role: "system", content: "You are an expert movie critic" },
//   { role: "user", content: "I love Ron Fricke movies like Baraka" },
//   { role: "user", content: "Also, the Korean movie Memories of a Murderer" },
//   { role: "user", content: "What should I watch next?" },
// ]

from langfuse import get_client
from langchain_core.prompts import ChatPromptTemplate
 
langfuse = get_client()
 
langfuse_prompt = langfuse.get_prompt("movie-critic-chat")
 
# Using langchain, you can obtain a MessagesPlaceholder object for unresolved placeholders
langchain_prompt = ChatPromptTemplate.from_template(langfuse_prompt.get_langchain_prompt())
 
# -> langchain_prompt = [
#   SystemMessage(content="You are an expert movie critic"),
#   MessagesPlaceholder(name="chat_history"),
#   HumanMessage(content="What should I watch next?"),
# ]

import { LangfuseClient } from "@langfuse/client";
import { ChatPromptTemplate } from "@langchain/core/prompts";
 
const langfuse = new LangfuseClient();
 
// Get current `production` version
const langfusePrompt = await langfuse.prompt.get("movie-critic-chat", {
  type: "chat",
});
 
// Using langchain, you can obtain a ChatPromptTemplate with MessagesPlaceholder objects for unresolved placeholders
const langchainPrompt = ChatPromptTemplate.fromTemplate(
  langfusePrompt.getLangchainPrompt()
);
 
// -> langchainPrompt = [
//   SystemMessage(content="You are an expert movie critic"),
//   MessagesPlaceholder(name="chat_history"),
//   HumanMessage(content="What should I watch next?"),
// ]