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api-integrator

@tekgrunt/boot-test
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Help users integrate with LimaCharlie using the REST API, Python SDK, or Go SDK for programmatic access to sensors, detection rules, events, and platform features.

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SKILL.md

name api-integrator
description Help users integrate with LimaCharlie using the REST API, Python SDK, or Go SDK for programmatic access to sensors, detection rules, events, and platform features.

LimaCharlie API Integrator

This skill provides comprehensive guidance for integrating with LimaCharlie programmatically using the REST API, Python SDK, or Go SDK. Use this skill when users need help with API authentication, SDK usage, event streaming, programmatic sensor management, or building custom integrations.

Quick Navigation

  • Python SDK Details: See PYTHON.md for complete Python SDK reference
  • Go SDK Details: See GO.md for complete Go SDK reference
  • Complete Examples: See EXAMPLES.md for working code examples
  • Troubleshooting: See TROUBLESHOOTING.md for error handling and common issues

Overview

API Access Methods

LimaCharlie provides three primary methods for programmatic access:

  1. Python SDK: Full-featured SDK with high-level abstractions for Python applications
  2. Go SDK: Native Go client library for Go applications and services
  3. REST API: Direct HTTP/HTTPS access for any programming language

Key Capabilities

  • Sensor Management: List, query, task, tag, and control endpoint sensors
  • Detection & Response: Create, update, and manage D&R rules programmatically
  • Event Streaming: Receive real-time events, detections, and audit logs
  • Artifact Collection: Upload, download, and manage forensic artifacts
  • Organization Management: Configure organizations, users, and permissions
  • Query & Search: Execute LCQL queries and search historical data

Base API URL

https://api.limacharlie.io

Documentation Links

Authentication

Authentication Concepts

LimaCharlie uses JWT (JSON Web Tokens) for API authentication. There are two types of API keys:

  1. Organization API Keys: Scoped to a specific organization (recommended)
  2. User API Keys: Scoped to a user across all their organizations

Organization API Keys (Recommended)

Components

  • OID (Organization ID): UUID format identifier for your organization
  • API Key: UUID format secret key with specific permissions

Getting a JWT Token

Using curl:

curl -X POST "https://jwt.limacharlie.io" \
  -H "Content-Type: application/x-www-form-urlencoded" \
  -d "oid=YOUR_ORG_ID&secret=YOUR_API_KEY"

Response:

{
  "jwt": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
}

The JWT token is valid for 1 hour and must be refreshed after expiration.

API Key Permissions

API keys have granular permissions. Common permissions include:

  • sensor.get: Read sensor information
  • sensor.task: Send tasks to sensors
  • sensor.tag: Add/remove sensor tags
  • dr.list: List detection rules
  • dr.set: Create/update detection rules
  • dr.del: Delete detection rules
  • output.*: Manage outputs (required for Firehose/Spout)

View all available permissions: https://app.limacharlie.io/owner_permissions

API Key Flair

API keys support "flair" tags to modify behavior:

  • [bulk]: Optimizes rate limits for high-volume API usage
    • Example: automation-key[bulk]
  • [segment]: Limits visibility to resources created by this key only
    • Example: third-party-integration[segment]

Managing API Keys

API keys are managed in the web interface: Organization > Access Management > REST API

Quick Start

Python SDK

pip install limacharlie

import limacharlie

manager = limacharlie.Manager(oid='YOUR_ORG_ID', secret_api_key='YOUR_API_KEY')
sensors = manager.sensors()
sensor = manager.sensor('SENSOR_ID')
sensor.task('os_processes')

See PYTHON.md for complete documentation.

Go SDK

go get github.com/refractionPOINT/go-limacharlie/limacharlie

import "github.com/refractionPOINT/go-limacharlie/limacharlie"

client := limacharlie.NewClient()
org := client.Organization(limacharlie.ClientOptions{})
sensors, err := org.ListSensors()

See GO.md for complete documentation.

Working with Timestamps

IMPORTANT: When users provide relative time offsets (e.g., "last hour", "past 24 hours", "last week"), you MUST dynamically compute the current epoch timestamp based on the actual current time. Never use hardcoded or placeholder timestamps.

Computing Current Epoch

import time

# Compute current time dynamically
current_epoch_seconds = int(time.time())
current_epoch_milliseconds = int(time.time() * 1000)

The granularity (seconds vs milliseconds) depends on the specific API or MCP tool. Always check the tool signature or API documentation to determine which unit to use.

Common Relative Time Calculations

Example: "List artifacts from the last hour"

end_time = int(time.time())  # Current time
start_time = end_time - 3600  # 1 hour ago

# Use with API calls
artifacts.listArtifacts(start_time=start_time, end_time=end_time)

Common offsets (in seconds):

  • 1 hour = 3600
  • 24 hours = 86400
  • 7 days = 604800
  • 30 days = 2592000

For millisecond-based APIs, multiply by 1000.

Critical Rules

NEVER:

  • Use hardcoded timestamps
  • Use placeholder values like 1234567890
  • Assume a specific current time

ALWAYS:

  • Compute dynamically using time.time()
  • Check the API/tool signature for correct granularity
  • Verify the time range is valid (start < end)

Common Operations

1. List Sensors

sensors = manager.sensors()
sensor = manager.sensor('SENSOR_ID')

2. Tag Sensors

sensor.addTag('production', ttl=3600)
sensor.removeTag('old-tag')

3. Task Sensors

sensor.task('os_processes')
result = sensor.simpleRequest('os_info', timeout=30)

4. Isolate Sensors

sensor.isolate()
sensor.rejoin()

5. Create Detection Rules

from limacharlie import Hive, HiveRecord
hive = Hive(manager)
hive.set(HiveRecord(hive_name='dr-general', key='rule-name', data=rule_data))

Event Streaming

Spout vs Firehose

Feature Spout Firehose
Connection Pull (HTTPS) Push (requires open port)
NAT/Proxy Works through NAT Requires port forwarding
Reliability Good for moderate volume Best for high volume
Setup Easier More complex
Use case Ad-hoc, development Production, long-term

Spout (Pull-based)

spout = limacharlie.Spout(manager, data_type='detect', is_parse=True)
for detection in spout:
    print(detection['detect_name'])
spout.shutdown()

Firehose (Push-based)

firehose = limacharlie.Firehose(manager, listen_on='0.0.0.0:4443', data_type='event')
firehose.start()

See EXAMPLES.md and PYTHON.md for complete examples.

Common Sensor Tasks

# System Information
'os_info'           # Operating system details
'os_processes'      # Running processes
'os_services'       # Installed services
'os_packages'       # Installed software
'os_autoruns'       # Autostart programs
'os_drivers'        # Loaded drivers (Windows)

# File Operations
'file_info PATH'    # File metadata
'file_get PATH'     # Download file
'file_hash PATH'    # Calculate file hash
'file_del PATH'     # Delete file

# Network Operations
'netstat'           # Network connections
'dns_resolve DOMAIN' # DNS lookup

# Process Operations
'mem_map PID'       # Process memory map
'kill PID'          # Terminate process

# Forensics
'history_dump'      # Event history
'hidden_module_scan' # Find hidden modules

Best Practices

  1. Authentication: Use environment variables, never hardcode credentials
  2. Rate Limiting: Use [bulk] flair for high-volume operations
  3. Error Handling: Always check sensor status before tasking
  4. Performance: Batch operations, use streaming for large datasets
  5. Tracking: Use investigation IDs to track related operations
# Use environment variables
manager = limacharlie.Manager()  # Uses LC_OID and LC_API_KEY

# Check sensor status
if sensor.isOnline():
    sensor.task('os_processes')

# Investigation tracking
manager = limacharlie.Manager(inv_id='incident-2024-001')

See TROUBLESHOOTING.md for detailed error handling.

Quick Reference

REST API Endpoints

Endpoint Method Description
/sensors/{oid} GET List all sensors
/sensor/{oid}/{sid} GET Get specific sensor
/sensor/{oid}/{sid}/task POST Task a sensor
/sensor/{oid}/{sid}/tag POST/DELETE Manage sensor tags
/rules/{oid} GET/POST Manage detection rules
/artifacts/{oid} POST Upload artifact
/artifacts/{oid}/{aid} GET Download artifact
/orgs/{oid} GET Get organization info

Python SDK Classes

  • Manager: Main SDK entry point, organization management
  • Sensor: Individual sensor operations and tasking
  • Hive: Key-value storage for D&R rules and data
  • Spout: Pull-based event streaming
  • Firehose: Push-based event streaming
  • Artifacts: Artifact upload/download management

Go SDK Packages

  • limacharlie.Client: Main client initialization
  • limacharlie.Organization: Organization operations
  • limacharlie.Sensor: Sensor management and tasking
  • limacharlie.CoreDRRule: Detection rule structure
  • firehose: Firehose streaming package

Additional Resources

Documentation

Support

Important Notes

  • JWT tokens expire after 1 hour
  • Use [bulk] flair for high-volume API usage
  • Default rate limits apply unless configured otherwise
  • Keep SDKs updated to latest versions
  • Use least-privilege API keys for security

See Also

  • PYTHON.md - Complete Python SDK reference with all classes and methods
  • GO.md - Complete Go SDK reference with all packages and methods
  • EXAMPLES.md - Complete working code examples for common use cases
  • TROUBLESHOOTING.md - Error handling, debugging, and common issues