A Better API for
Generative AI

Opper is an integrated platform to build productiongrade generative AI features, chatbots, and agents — fast.

Try the API for free

A toolkit for developers

Models

Build AI features with clean, type-safe APIs designed for developers

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Tools

Built-in vector search, observability, and feedback collection

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Control

Integrated process to test, evaluate and comply in production

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An integrated platform for production

A compound AI platform optimized for product and software teams

Build using type safe structured calls

Build robust AI features with our type-safe API and SDKs that validate input and output schemas at runtime. Focus on defining clean data structures rather than complex prompts to create more reliable AI applications.

Python
TypeScript
REST
from opperai import Opper
from pydantic import BaseModel, Field

opper = Opper()

class LetterCount(BaseModel):
    thoughts: str = Field(
        description="Think step by step"
    )
    count: int

output, _ = opper.call(
    name="countLetter",
    instructions="count how many times the letter appears in the word",
    input={
        "letter": "r",
        "word": "strawberry"
    },
    output_type=LetterCount,
)
print(output.count) # 3

Choose from over 30+ models

Use our universal `call` to switch between models and modalities. Or connect your own model and still benefit from all the platform features. Choose from frontier, open source and specialized models.

Over 30 models supported

4O
azure/openai-gpt4o
Text, Image, Audio
GF
google/gemini-flash
Text, Image
MO
opper/molmo-7b
Text, Image
CS
Custom Model
Any OpenAI compatible

Evaluate each tasks success

With structured schemas and datasets you can evaluate and benchmark models for each task, ensuring performance across metrics you care about - like speed, cost, quality.

Performance for task: ParseDocument

Accuracy
Latency
GPT-4o
96%
750ms
Sonnet-3.5
92%
650ms
Mistral-7b
88%
300ms

Observe calls with tracing and feedback

Monitor and analyze AI calls with detailed logs, feedback metrics, and usage analytics to maintain full visibility into how your AI features are operating in production.

Trace ID: 8e29b3f4-6c36-4a11-9758-f056def89e11
15:23:41.245
Analyze
Intent detection150-300ms
Choose
Tool selection300-400ms
Generate
Response400-600ms
Summary
Total: 600ms
Steps: 4
Success: 100%

In depth analytics on utilisation

Track and analyze your utilization of AI resources with granular metrics that is possible to slice by model, project, function or even custom tags like end user or environment.

Utilisation

Last 30 days
Tokens by Project
Support Bot45%
Docs Agent35%
Data extractor20%
Tokens by Model
Llama-3.2-70b50%
Gemini-Flash-230%
Mistral-7b20%

Stay compliant and secure

Built on state-of-the-art AWS infrastructure in Europe, our platform ensures complete GDPR compliance, SOC 2 readiness, and alignment with the upcoming EU AI Act regulations.

GDPR
Compliant
SOC 2
Ready
EU Hosted
AWS
AI Act
Ready

Build AI features that really works

Optimize quality, integrate end user feedback, label good responses, add custom knowledge.

A

Hello! How can I help you today?

Can you explain how your API works?

U
A

Our API provides a unified interface to access multiple AI models. You can integrate once and switch between models like GPT-4, Claude, and Gemini seamlessly. We handle all the complexity of model selection, optimization, and monitoring for you.

Trusted by some of the best product builders

Sizable outcomes from AI, with just the right amount of effort

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Ping

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