ambertraceai 0.2.0

Python SDK for the Ambertrace neurosymbolic AI platform API

AmbertraceAI Python SDK

Python client for the Ambertrace neurosymbolic AI platform API.

Install

pip install ambertraceai

Quick Start

from ambertraceai import AmbertraceAPI

api = AmbertraceAPI(
    base_url="https://app.ambertrace.ai",
    api_key="at_...",
)

# Create a domain
domain = api.domains.create(
    name="Legal Contracts",
    description="Contract analysis for risk and compliance",
)

# Upload data
dataset = api.datasets.upload(
    domain_id=domain["id"],
    file_path="contracts.csv",
)

# Build a platform (async — returns a job)
result = api.platforms.create(
    domain_id=domain["id"],
    dataset_id=dataset["id"],
)

# Wait for the build to finish
job = api.wait_for_job(result["job_id"], timeout=600)

# Query the platform
answer = api.platforms.query(
    platform_id=result["platform_id"],
    query="What are the highest-risk clauses?",
)
print(answer["answer"])
print(answer["explanation"])

Resources

Resource	Methods
api.domains	list, create, get, update, delete, build_ontology
api.datasets	list, get, upload, fetch, quality, clean, preview, delete
api.platforms	list, create, get, status, query, suggest_rules, list_suggestions, graph
api.predictions	predict, list_configs, create_config, train, list_predictions
api.jobs	get
api.api_keys	list, create, revoke

Agent Keys

AI agents authenticate with user-scoped API keys that give full lifecycle access (domains, datasets, platforms, rules, predictions). A human creates the key from the dashboard; the agent can then create narrower platform-scoped keys for its integrations.

# Agent creates a platform-scoped key for a specific integration
platform_key = api.api_keys.create(
    scope="platform",
    platform_id=42,
    name="Slack Integration",
)

# List keys visible to this agent
keys = api.api_keys.list()

# Revoke a platform key the agent created
api.api_keys.revoke(platform_key["id"])

User-scoped keys cannot create other user-scoped keys (no self-replication). Chat, conversations, and billing remain human-only.

Job Polling

Long-running operations (platform builds, data cleaning, training) return a job_id. Use wait_for_job to poll:

job = api.wait_for_job(job_id, timeout=300, poll_interval=5)
if job["status"] == "error":
    print(f"Failed: {job.get('error_message')}")

Error Handling

from ambertraceai import AmbertraceAPI, AmbertraceError

try:
    api.domains.get(999)
except AmbertraceError as e:
    print(e.status_code)  # 404
    print(e.code)         # "not_found"
    print(str(e))         # "Domain not found."

API Documentation

Full API reference: app.ambertrace.ai/openapi/redoc