LangChain

pip install langchain langchain-openai

from langchain_openai import ChatOpenAI

llm = ChatOpenAI(
    api_key="your-adaptive-api-key",
    base_url="https://www.llmadaptive.uk/api/v1",
    model="" # Empty string enables intelligent routing
)

response = llm.invoke("Explain machine learning simply")
print(response.content)

for chunk in llm.stream("Tell me a story about AI"):
    print(chunk.content, end="", flush=True)

from langchain.chains import LLMChain
from langchain.prompts import PromptTemplate

prompt = PromptTemplate(
    input_variables=["topic"],
    template="Write a brief summary about {topic}"
)

chain = LLMChain(llm=llm, prompt=prompt)
result = chain.run(topic="artificial intelligence")
print(result)

from langchain.tools import tool

@tool
def get_weather(location: str) -> str:
    """Get the current weather for a location."""
    return f"Weather in {location}: Sunny, 72°F"

# Use with agents or tool-calling chains
tools = [get_weather]
# Your agent setup here...

ADAPTIVE_API_KEY=your-adaptive-api-key

# Before
llm = ChatOpenAI(
    api_key="sk-openai-key",
    # base_url defaults to OpenAI
    model="gpt-4"
)

# After  
llm = ChatOpenAI(
    api_key="your-adaptive-api-key",     # ← New API key
    base_url="https://www.llmadaptive.uk/api/v1", # ← Add this line
    model=""  # ← Empty for intelligent routing
)