Quick Start

Get evidence recording working in under 3 minutes.

Install

Python

pip install atlast-ecp

TypeScript

npm install atlast-ecp-ts

Initialize

atlast init

This creates:

• ~/.ecp/ — local evidence storage (never transmitted)
• Ed25519 keypair for signing
• Agent DID (did:ecp:{hash})

Option A: Zero-Code (Proxy)

Wrap any existing agent — no code changes:

atlast run python my_agent.py

This starts a transparent proxy that intercepts all LLM API calls (OpenAI, Anthropic, etc.) and records evidence automatically.

Option B: SDK Wrapper (5 lines)

from openai import OpenAI
from atlast_ecp import wrap

client = wrap(OpenAI())  # That's it

# Use normally — every call is automatically recorded
response = client.chat.completions.create(
    model="gpt-4",
    messages=[{"role": "user", "content": "Hello"}]
)

Option C: Explicit Recording

from atlast_ecp import record

record(
    in_content="Summarize this document",
    out_content="The document discusses...",
    model="gpt-4",
    latency_ms=1200,
)

View Your Evidence

# See recent records
atlast log

# Verify a specific record
atlast verify rec_abc123

# View stats
atlast stats

# Inspect with original content
atlast inspect rec_abc123

Upload to Server

# Register your agent
atlast register

# Push evidence batch
atlast push

This uploads Merkle roots to api.weba0.com for on-chain anchoring.

Next Steps

• Core Concepts — understand ECP data model
• Python SDK — detailed SDK reference
• TypeScript SDK — Node.js integration
• API Reference — server endpoints