Agent Lighthouse SDK (Python)
The official Python client for instrumenting AI agents with Agent Lighthouse.
Features
- Automatic Tracing: Decorators for agents, tools, and LLM calls.
- Async Support: Fully compatible with async/await workflows.
- State Management: Expose internal agent state (memory, context) for real-time inspection.
- Token Tracking: Automatically capture token usage and costs from LLM responses.
Installation
Install from PyPI:
pip install agent-lighthouse
Or install from source in development mode:
cd sdk
pip install -e .
Quick Start
1. Initialize Tracer
from agent_lighthouse import LighthouseTracer
# Use your API Key (starts with lh_)
tracer = LighthouseTracer(api_key="lh_...")
2. Add Decorators
Wrap your functions with @trace_agent, @trace_tool, or @trace_llm.
from agent_lighthouse import trace_agent, trace_tool, trace_llm
@trace_tool("Web Search")
def search_web(query):
# ... logic ...
return results
@trace_llm("GPT-4", model="gpt-4-turbo", cost_per_1k_prompt=0.01)
def call_llm(prompt):
# ... call OpenAI ...
return response
@trace_agent("Researcher")
def run_research_agent(topic):
data = search_web(topic)
summary = call_llm(f"Summarize {data}")
return summary
3. Run It
Just run your script as normal. The SDK will automatically send traces to the backend.
State Inspection
Allow humans to inspect and modify agent state during execution:
from agent_lighthouse import get_tracer
@trace_agent("Writer")
def writer_agent():
tracer = get_tracer()
# Expose state
tracer.update_state(
memory={"draft": "Initial draft..."},
context={"tone": "Professional"}
)
# ... execution continues ...
Zero-Touch Auto-Instrumentation (Magic Import)
No code changes to your LLM calls. Just import once at the top of your script:
import agent_lighthouse.auto # auto-instruments OpenAI, Anthropic, requests, and frameworks
This automatically captures:
- LLM latency
- Token usage
- Cost (best-effort pricing)
Content capture is off by default. Enable if you explicitly want payloads:
export LIGHTHOUSE_CAPTURE_CONTENT=true
Configuration
You can configure the SDK via environment variables:
| Variable | Description | Default |
|---|---|---|
LIGHTHOUSE_API_KEY |
Your machine API key | None |
LIGHTHOUSE_BASE_URL |
URL of the backend API | http://localhost:8000 |
LIGHTHOUSE_AUTO_INSTRUMENT |
Enable auto-instrumentation | 1 |
LIGHTHOUSE_CAPTURE_CONTENT |
Capture request/response payloads | false |
LIGHTHOUSE_LLM_HOSTS |
Allowlist extra LLM hosts for requests instrumentation | "" |
LIGHTHOUSE_PRICING_JSON |
Pricing override JSON string | "" |
LIGHTHOUSE_PRICING_PATH |
Pricing override JSON file path | "" |
LIGHTHOUSE_DISABLE_FRAMEWORKS |
Disable framework adapters (csv) | "" |
Metadata
Release files for agent-lighthouse 0.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| agent_lighthouse-0.4.0.tar.gz | 21.6 kB | Without provenance | Details for agent_lighthouse-0.4.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| agent_lighthouse-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for agent_lighthouse-0.4.0-py3-none-any.whl |
Total release size: 42.1 kB
Release files / agent_lighthouse-0.4.0.tar.gz
| Download URL | agent_lighthouse-0.4.0.tar.gz |
|---|---|
| Size | 21.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
e3169252ac45a30acae264f8ca6696b52f87a79f9ae7159ea4a97c3696768ff1
|
|
BLAKE2b-256 checksum How to use checksums |
b1e3b2937cb1a813080d465f498388397a745af60ec5f1f6b8d33e4d8df37ab0
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Release files / agent_lighthouse-0.4.0-py3-none-any.whl
| Download URL | agent_lighthouse-0.4.0-py3-none-any.whl |
|---|---|
| Size | 20.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e4d16fb596b487c16ba6823b532030d51ce5f85b37061b6c7459e4a87d22d5f4
|
|
BLAKE2b-256 checksum How to use checksums |
61b04c7b93b2de351d197bd1d20b1f60473abd850d802fe7313f45db3c6e1c7a
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.11.14
|
Security for agent-lighthouse 0.4.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.