Timberlogs Python SDK

The official Timberlogs SDK for Python applications. Send structured logs to Timberlogs with automatic batching, retry logic, and flow tracking.

Installation

pip install timberlogs-client

Quick Start

from timberlogs import create_timberlogs

timber = create_timberlogs(
    source="my-app",
    environment="production",
    api_key="tb_live_xxxxxxxxxxxxx",
)

timber.info("Hello, Timberlogs!")

Features

• Structured logging - Log with arbitrary JSON data
• Automatic batching - Efficiently batch logs before sending
• Retry with backoff - Automatic retry on failures
• Flow tracking - Group related logs together
• Level filtering - Filter logs by severity
• Async support - Full async/await support
• Context manager - Automatic cleanup with with statement

Basic Usage

Log Levels

timber.debug("Detailed diagnostic info", {"key": "value"})
timber.info("General information", {"user_id": "123"})
timber.warn("Warning condition", {"threshold": 90})
timber.error("Error occurred", {"code": "E001"})

Logging with Data

timber.info("User signed in", {
    "user_id": "user_123",
    "method": "oauth",
    "provider": "google",
})

Error Logging

# With Exception object (extracts name, message, stack)
try:
    risky_operation()
except Exception as e:
    timber.error("Operation failed", e)

# With data object
timber.error("Validation failed", {
    "field": "email",
    "reason": "invalid format",
})

Tags

from timberlogs import LogOptions

timber.info("Payment processed", {"amount": 99.99}, LogOptions(tags=["payments", "success"]))

Setting User/Session IDs

# Set defaults for all subsequent logs
timber.set_user_id("user_123")
timber.set_session_id("sess_abc")

# Clear on logout
timber.set_user_id(None)
timber.set_session_id(None)

Method Chaining

timber.set_user_id("user_123").set_session_id("sess_abc").info("User action")

Flow Tracking

Flows group related logs together with automatic step indexing:

# Synchronous flow (local ID generation)
flow = timber.flow("checkout")
flow.info("Started checkout", {"items": 3})
flow.info("Payment processed", {"amount": 99.99})
flow.info("Order confirmed", {"order_id": "ord_123"})

Async Flow (Server-Generated ID)

import asyncio

async def process_checkout():
    flow = await timber.flow_async("checkout")
    flow.info("Started checkout")
    flow.info("Payment processed")
    flow.info("Order confirmed")

asyncio.run(process_checkout())

Flow Properties

flow = timber.flow("user-onboarding")
print(flow.id)    # "user-onboarding-a1b2c3d4"
print(flow.name)  # "user-onboarding"

Configuration

All Options

from timberlogs import create_timberlogs

timber = create_timberlogs(
    # Required
    source="my-app",                    # Your app/service name
    environment="production",           # development, staging, production

    # Authentication
    api_key="tb_live_xxx",              # Your Timberlogs API key

    # Optional
    version="1.2.3",                    # Your app version
    user_id="user_123",                 # Default user ID
    session_id="sess_abc",              # Default session ID
    batch_size=10,                      # Logs to batch before sending
    flush_interval=5.0,                 # Auto-flush interval (seconds)
    min_level="info",                   # Minimum level to send
    on_error=lambda e: print(e),        # Error callback

    # Retry configuration
    max_retries=3,                      # Retry attempts
    initial_delay_ms=1000,              # Initial retry delay
    max_delay_ms=30000,                 # Maximum retry delay
)

Environment Variables

import os
from timberlogs import create_timberlogs

timber = create_timberlogs(
    source="my-app",
    environment=os.getenv("ENVIRONMENT", "development"),
    api_key=os.getenv("TIMBER_API_KEY"),
)

Level Filtering

timber = create_timberlogs(
    source="my-app",
    environment="production",
    api_key="tb_live_xxx",
    min_level="warn",  # Only send warn and error
)

timber.debug("Not sent")  # Filtered
timber.info("Not sent")   # Filtered
timber.warn("Sent")       # Sent
timber.error("Sent")      # Sent

Async Usage

import asyncio
from timberlogs import create_timberlogs

async def main():
    timber = create_timberlogs(
        source="my-app",
        environment="production",
        api_key="tb_live_xxx",
    )

    timber.info("Starting async operation")

    # Create async flow with server-generated ID
    flow = await timber.flow_async("async-job")
    flow.info("Step 1")
    flow.info("Step 2")

    # Async flush
    await timber.flush_async()

    # Async disconnect
    await timber.disconnect_async()

asyncio.run(main())

Async Context Manager

async def main():
    async with create_timberlogs(
        source="my-app",
        environment="production",
        api_key="tb_live_xxx",
    ) as timber:
        timber.info("Auto-flushed on exit")

Context Manager

with create_timberlogs(
    source="my-app",
    environment="production",
    api_key="tb_live_xxx",
) as timber:
    timber.info("Logs are auto-flushed on exit")

Low-Level Logging

For full control over log entries:

from timberlogs import LogEntry

timber.log(LogEntry(
    level="info",
    message="Custom log entry",
    data={"custom": "data"},
    user_id="user_123",
    session_id="sess_abc",
    request_id="req_xyz",
    tags=["important", "billing"],
))

API Reference

TimberlogsClient Methods

Flow Methods

Releasing

1. Bump the version in pyproject.toml and timberlogs/__init__.py
2. Commit and push to master
3. Create a GitHub release with tag vX.Y.Z (e.g., v1.1.1)
4. The publish.yml workflow automatically builds and publishes to PyPI via OIDC trusted publishing

Requirements

• Python 3.8+
• httpx >= 0.24.0

License

MIT License - see LICENSE for details.

Links

• Documentation
• Dashboard
• GitHub