scryer

Find your
next layer.

A connected foundation.
A clearer way to build.

INTELLIGENCE, IN FULL FLOW.Start a conversation ↗

SCRYER DOCUMENTATION

From first search to informed action.

Everything you need to start investigating with Scryer. Learn how to find exposed data, understand the evidence, and turn relevant findings into a clear response

Start with one workload.

Choose a model-powered feature, define its constraints and follow one request from input to result. Keep credentials on your server and separate development from production.

Understand the request boundary.

A familiar request surface keeps application code independent of routing decisions. This provider-neutral example shows the structure to adapt to your own endpoint and credentials.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.your-domain.com/v1",
    api_key=os.environ["API_KEY"]
)

response = client.chat.completions.create(
    model="balanced",
    messages=[{
        "role": "user",
        "content": "What should we build next?"
    }]
)
OPENAI-COMPATIBLE REQUEST FORMAT / SERVER-SIDE EXAMPLE

Make the system observable.

Use the guides to choose a routing policy, inspect a request trace and define your deployment boundary. Collect only the operational metadata your team needs.