Optimise your AI agents

Overmind sits between your application and any LLM provider. Install the SDK, add one import, and let the platform handle the rest.

Learn about our anatomy of control

Anomaly Detection

Our policy engine checks every action in-flight. Passes are executed, anomalies are flagged for human review, and dangerous actions are stopped cold.

Drop-in optimisation for any stack

Automated Prompt and Model Evaluation

Most teams spend weeks manually A/B testing prompts and benchmarking models against each other. Overmind automates the entire loop. Once the SDK is in place, every LLM call your application makes is traced, evaluated by an LLM judge, and fed into an experimentation engine that discovers what works better.

Complete LLM Optimisation

The system scores each trace across cost, latency, and quality - then surfaces concrete recommendations. "Switch to gpt-4o-mini for this pipeline to save 40% with no measurable quality loss." You accept or reject the suggestion. The system learns. The cycle repeats.

Start working with Overmind today

Step One:

Install the SDK

pip install overmind-sdk

Step Two:

Add overmind.init() once at startup — your existing LLM code stays unchanged:

import os 
import overmind 
from openai  import OpenAI  

os.environ["OVERMIND_API_KEY"] = 'ovr_'
os.environ["OPENAI_API_KEY"] = 'sk-proj-'  

overmind.init(service_name="my-service", environment="production")  

client = OpenAI() 
response = client.chat.completions.create(
    model="gpt-5-mini",
    messages=[{"role": "user", "content": "Hello!"}],
)

Step Three:

Anthropic and Google Gemini are also supported — pass the providers you use:

overmind.init(service_name="my-service", providers=["anthropic"])
overmind.init(service_name="my-service", providers=["google"])