Documentation

install it in python with pip install Ornymo

How does it work:It checks cached results first, and if none exist, it invokes your agent and stores the new output.

The apikey argument takes the api key you can find in our dashboard
history is any context such as previous chats for the models to use
The query argument is the users query so we can try to match it in our system
The output which you only pass in caching is if the model cant find anything cache this output

Importing the SDK

from Ornymo import Ornymo

query_check() — Looks for a cached response based on the user’s query history.
caching() — Saves the new output for future queries.We have to pass the models output here

FastAPI Example

@app.post("/submit/query")
async def submit_query(user: user_dependency):
    # Initialize Ornymo SDK
    ornymo = Ornymo(
        apiKey="api_provider",
        history=user.history,
        query=user_dependency
    )

    # Check if the query exists in cache
    cached = await ornymo.query_check()

    if cached:
        return {"result": cached}

    # No cache found — invoke your agent
    response = agent.invoke("hey whats the weather")

    # Store the new response in cache
    await ornymo.caching(output=response)

    return {"result": response}