wehub-resource-sync
4cd2d4af2b
Test Browser Use CLI Install / uv pip install (ubuntu-latest) (push) Failing after 1s
Test Browser Use CLI Install / uvx browser-use from local wheel (push) Failing after 1s
Test Browser Use CLI Install / uvx browser-use[cli] from PyPI (push) Failing after 1s
package / pip-install-on-macos-latest-py-3.11 (push) Has been skipped
package / pip-install-on-macos-latest-py-3.13 (push) Has been skipped
package / pip-install-on-ubuntu-latest-py-3.11 (push) Has been skipped
package / pip-install-on-windows-latest-py-3.13 (push) Has been skipped
cloud_evals / trigger_cloud_eval_image_build (push) Failing after 1s
docker / build_publish_image (push) Failing after 1s
Test Browser Use CLI Install / browser-use skill sync (push) Failing after 1s
lint / code-style (push) Failing after 0s
lint / type-checker (push) Failing after 1s
package / pip-build (push) Failing after 1s
lint / syntax-errors (push) Failing after 3s
package / pip-install-on-ubuntu-latest-py-3.13 (push) Has been skipped
package / pip-install-on-windows-latest-py-3.11 (push) Has been skipped
test / ${{ matrix.test_filename }} (push) Has been skipped
test / evaluate-tasks (push) Has been skipped
test / setup-chromium (push) Failing after 2s
test / find_tests (push) Failing after 2s
Test Browser Use CLI Install / uv pip install (windows-latest) (push) Has been cancelled
Test Browser Use CLI Install / uv pip install (macos-latest) (push) Has been cancelled
1.9 KiB
1.9 KiB
Monitoring & Observability
Table of Contents
Cost Tracking
agent = Agent(task="...", llm=llm, calculate_cost=True)
history = await agent.run()
# Access usage data
usage = history.usage
# Or via service
summary = await agent.token_cost_service.get_usage_summary()
Laminar
Native integration for AI agent monitoring with browser session video replay.
Setup
pip install lmnr
from lmnr import Laminar
Laminar.initialize() # Set LMNR_PROJECT_API_KEY env var
Features
- Agent execution step capture with timeline
- Browser session recordings (full video replay)
- Cost and token tracking
- Trace visualization
Authentication
Use browser-use auth for cloud sync (OAuth Device Flow), or self-host Laminar.
OpenLIT (OpenTelemetry)
Zero-code OpenTelemetry instrumentation:
Setup
pip install openlit browser-use
import openlit
openlit.init() # That's it — auto-instruments browser-use
Features
- Execution flow visualization
- Cost and token tracking
- Debug failures with agent thought process
- Performance optimization insights
Custom OTLP Endpoint
openlit.init(otlp_endpoint="http://your-collector:4318")
Integrations
Works with: Jaeger, Prometheus, Grafana, Datadog, New Relic, Elastic APM.
Self-Hosted
docker run -d -p 3000:3000 -p 4318:4318 openlit/openlit
Telemetry
Browser Use collects anonymous usage data via PostHog.
Opt Out
ANONYMIZED_TELEMETRY=false
Or in Python:
import os
os.environ["ANONYMIZED_TELEMETRY"] = "false"
Zero performance impact. Source: telemetry service.