Python SDK (v2)

from nined.memory import MemoryClientV2

client = MemoryClientV2(
    base_url="https://api.9dlabs.xyz",
    api_key="your-key",
    workspace_id="my-workspace",
)

# Batch ingest
client.ingest([
    {"artifact_type": "document", "raw_payload": {"content": "Deploy runbook..."}},
    {"artifact_type": "note", "raw_payload": {"content": "Meeting notes..."}},
])

# Retrieve with serving profile
pack = client.context_pack("What happened?", profile="high_recall")
for snippet in pack["snippets"]:
    print(snippet["content"])

MemoryClientV2(
    base_url: str = "https://api.9dlabs.xyz",
    api_key: str = "",
    workspace_id: str = "",
    timeout: int = 30,
)

# Synchronous
result = client.ingest([
    {"artifact_type": "document", "raw_payload": {"content": "..."}},
    {"artifact_type": "chat_turn", "raw_payload": {"role": "user", "content": "..."}},
])

# Async with job tracking
result = client.ingest([...], async_index=True)
for job in result["queued_jobs"]:
    status = client.job_status(job["job_id"])
    print(f"Job {job['job_id']}: {status['status']}")

pack = client.context_pack(
    "What is our pricing policy?",
    max_tokens=8192,
    profile="high_recall",
)

status = client.job_status("job-uuid")
# Returns: {"job_id": "...", "status": "done", "artifact_id": "...", ...}

health = client.ready()
# Returns: {"status": "ok", "storage": "connected", ...}