aitbc/docs/beginner/03_clients/3_job-lifecycle.md

Job Status Guide

Understand job states and how to track progress.

Job States

State	Description	Actions
pending	Job queued, waiting for miner	Wait
assigned	Miner assigned, starting soon	Wait
running	Job executing	Monitor
completed	Job finished successfully	Download
failed	Job error occurred	Retry/Contact
canceled	Job cancelled by user	None

Check Status

Using CLI

aitbc client status --job-id <JOB_ID>

Using API

import requests

response = requests.get(
    "http://localhost:8000/v1/jobs/{job_id}",
    headers={"X-Api-Key": "your-key"}
)
print(response.json())

Status Response Example

{
  "job_id": "job_abc123",
  "status": "running",
  "progress": 45,
  "miner_id": "miner_xyz789",
  "created_at": "2026-02-13T10:00:00Z",
  "started_at": "2026-02-13T10:01:00Z",
  "estimated_completion": "2026-02-13T10:30:00Z"
}

Progress Tracking

Real-time Updates

aitbc client watch --job-id <JOB_ID>

WebSocket Updates

import websocket

def on_message(ws, message):
    print(message)

ws = websocket.WebSocketApp(
    "ws://localhost:8000/v1/jobs/ws",
    on_message=on_message
)
ws.run_forever()

State Transitions

pending → assigned → running → completed
    ↓           ↓          ↓
  failed    failed     failed
    ↓           ↓          ↓
  canceled  canceled   canceled

Next Steps

• Job Submission - Submitting jobs
• Results - Managing results
• Job History - Viewing past jobs

---

Learn how to download and manage job results.

Overview

Results are stored after job completion. This guide covers downloading and managing outputs.

Download Results

Using CLI

aitbc client download --job-id <JOB_ID> --output ./results

Using API

import requests

response = requests.get(
    "http://localhost:8000/v1/jobs/{job_id}/download",
    headers={"X-Api-Key": "your-key"}
)

with open("output.zip", "wb") as f:
    f.write(response.content)

Result Formats

Format	Extension	Description
JSON	.json	Structured data output
Text	.txt	Plain text output
Binary	.bin	Model weights, tensors
Archive	.zip	Multiple files

Result Contents

A typical result package includes:

job_<ID>/
├── output.json          # Job metadata and status
├── result.txt           # Main output
├── logs/                # Execution logs
│   ├── stdout.log
│   └── stderr.log
└── artifacts/           # Model files, etc.
    └── model.bin

Result Retention

Plan	Retention
Free	7 days
Pro	30 days
Enterprise	90 days

Sharing Results

Generate Share Link

aitbc client share --job-id <JOB_ID>

Set Expiration

aitbc client share --job-id <JOB_ID> --expires 7d

Verify Results

Check Integrity

aitbc client verify --job-id <JOB_ID>

Compare Checksums

# Download checksum file
aitbc client download --job-id <JOB_ID> --checksum

# Verify
sha256sum -c output.sha256

Delete Results

aitbc client delete --job-id <JOB_ID>

Next Steps

• Job Status - Understanding job states
• Job Submission - Submitting jobs
• Billing - Understanding charges

---

View and manage your past jobs.

List All Jobs

aitbc client list

Filter by Status

# Running jobs
aitbc client list --status running

# Completed jobs
aitbc client list --status completed

# Failed jobs
aitbc client list --status failed

Filter by Date

# Last 7 days
aitbc client list --days 7

# Specific date range
aitbc client list --from 2026-01-01 --to 2026-01-31

Job Details

aitbc client get --job-id <JOB_ID>

Export History

# Export to JSON
aitbc client export --format json --output jobs.json

# Export to CSV
aitbc client export --format csv --output jobs.csv

Statistics

aitbc client stats

Shows:

• Total jobs submitted
• Success rate
• Average completion time
• Total spent

Next Steps

• Job Status - Understanding job states
• Job Cancellation - Canceling jobs
• Billing - Understanding charges

---

How to cancel jobs and manage running operations.

Cancel a Job

aitbc client cancel --job-id <JOB_ID>

Confirmation

aitbc client cancel --job-id <JOB_ID> --force

Cancellation States

State	Description
canceling	Cancellation requested
canceled	Job successfully canceled
failed	Cancellation failed

Effects

• Job stops immediately
• Partial results may be available
• Charges apply for resources used

Next Steps

• Job Submission - Submitting jobs
• Job History - Viewing past jobs
• Pricing - Cost structure