Digital Lab launching AI to more than 60 countries including US and India
Write code, not prompts
The reliability layer
for AI agents
One API that standardizes interactions across 100+ models
with built-in evals, tracing, and prompt assembly.
Trusted by leading companies
New Release
Introducing Agent SDKs
Build intelligent, reliable, headless agents with seamless MCP integration, multi-model support, extendable with hooks, and built-in observability.
Your first agent in 3 steps
from opper_agents import Agent, tool
@tool
def get_weather(city: str) -> str:
"""Get the current weather for a city."""
return f"The weather in {city} is sunny"
# Create the agent
agent = Agent(
name="WeatherBot",
description="Helps with weather queries",
tools=[get_weather],
model="cerebras/gpt-oss-120b"
)
# Run it
result = await agent.process(
"What's the weather in Paris?"
)Join product teams that reshape software with AI
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Opper integrates with 100+ models and offers centralized billing and custom models.
Learn MoreQuality through feedback
Improve output quality through feedback of success and in context learning.
Learn MoreWe can optimize for 300 % efficiency and still have time to skate where the puck is going, not where it is.
Petter Sehlin,
Ping Payments
Ping Payments
We will continue to build the world's biggest digital lab, and will partner with Opper going forward in this mission.
Patrik Johansson,
Gettested.io
Gettested.io
Low-code used to be more efficient but that seems to be changing now. Kudos to a great product!
Lucas,
Älska.studios
Älska.studios