Langchain

pip install "langchain~=1.2" "langchain-openai~=1.1" "langchain-community~=0.4" "langgraph~=1.0"

from langchain_openai import ChatOpenAI
from langchain_core.messages import HumanMessage, SystemMessage

llm = ChatOpenAI(
    model="openai/gpt-4",
    api_key="YOUR_EDEN_AI_API_KEY",
    base_url="https://api.edenai.run/v3/llm"
)

messages = [
    SystemMessage(content="You are a helpful assistant."),
    HumanMessage(content="What is LangChain?")
]

response = llm.invoke(messages)
print(response.content)

import { ChatOpenAI } from "@langchain/openai";
import { HumanMessage, SystemMessage } from "@langchain/core/messages";

const llm = new ChatOpenAI({
  modelName: "openai/gpt-4",
  openAIApiKey: "YOUR_EDEN_AI_API_KEY",
  configuration: {
    baseURL: "https://api.edenai.run/v3/llm",
  },
});

const messages = [
  new SystemMessage("You are a helpful assistant."),
  new HumanMessage("What is LangChain?"),
];

const response = await llm.invoke(messages);
console.log(response.content);

from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate

llm = ChatOpenAI(
    model="openai/gpt-4",
    api_key="YOUR_EDEN_AI_API_KEY",
    base_url="https://api.edenai.run/v3/llm"
)

prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a helpful assistant that translates {input_language} to {output_language}."),
    ("human", "{text}")
])

chain = prompt | llm

response = chain.invoke({
    "input_language": "English",
    "output_language": "French",
    "text": "Hello, how are you?"
})

print(response.content)

from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.output_parsers import StrOutputParser

llm = ChatOpenAI(
    model="openai/gpt-4",
    api_key="YOUR_EDEN_AI_API_KEY",
    base_url="https://api.edenai.run/v3/llm"
)

joke_prompt = ChatPromptTemplate.from_template("Tell me a joke about {topic}")
explanation_prompt = ChatPromptTemplate.from_template("Explain this joke: {joke}")

joke_chain = joke_prompt | llm | StrOutputParser()
explanation_chain = explanation_prompt | llm | StrOutputParser()

full_chain = {"joke": joke_chain} | explanation_chain

result = full_chain.invoke({"topic": "programming"})
print(result)

EDEN_AI_API_KEY=your_api_key_here