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Inspector is a Code Execution Monitoring tool that heps software development companies identify bugs and bottlenecks in their applications automatically. Before their users do. Developers can save a ton of money with a product specialized in software code consistency rather than generic infrastructure monitoring.
Inspector.dev GitHubBased on our record, GitHub seems to be a lot more popular than Inspector.dev. While we know about 2472 links to GitHub, we've tracked only 18 mentions of Inspector.dev. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Just add the Inspector ingestion key to your environment file and the agent will be automatically monitored:. - Source: dev.to / 10 months ago
Or learn more on the website: https://inspector.dev/. - Source: dev.to / 11 months ago
The Deep Research Agent integrates with Inspector for comprehensive observability:. - Source: dev.to / 11 months ago
Neuron's built-in observability features automatically trace the execution of each post processor, so you'll be able to monitor interactions with external services in your Inspector account. Learn more in the observability section. - Source: dev.to / about 1 year ago
Six months ago, I never imagined I'd find myself at the forefront of this revolution. As the creator of Inspector, an established observability tool in the PHP ecosystem, I had a front-row seat to the challenges developers faced when attempting to implement AI in production PHP environments. - Source: dev.to / about 1 year ago
All of this assumes you can actually inspect what the agent did โ the real inputs after resolution, the real tool outputs, the real intermediate steps. That is the other half of the workflow. AgentLens captures the trace: every model and tool step, resolved inputs, raw outputs. agent-eval scores and gates the output; AgentLens gives you the unforgeable, agent-didn't-author trace data for Tier 1+2 to score against... - Source: dev.to / about 1 hour ago
# git: the API token, plus the credential used for the push Kubectl create secret generic foreman-github \ --from-literal=GITHUB_TOKEN="$GITHUB_TOKEN" -n foreman-system Kubectl create secret generic foreman-git-credentials \ --from-literal=token="$GITHUB_TOKEN" -n foreman-system Helm upgrade foreman llmkube/foreman -n foreman-system --reuse-values \ --set agent.githubToken.secretName=foreman-github \ ... - Source: dev.to / about 7 hours ago
This is why eval and observability ship as a unit, not as separate purchases. agent-eval scores and gates the output โ the tiers above, drift, hallucination. AgentLens captures the trace of how the agent got there: every model step and tool call, the resolved inputs, the raw outputs, the trajectory. Two things fall out of that:. - Source: dev.to / 10 days ago
The real fragility is in trying to constrain arguments. The docs are explicit that a pattern like Bash(curl http://github.com/ *) fails to do what it looks like it does. It won't match curl -X GET http://github.com/... (option before the URL), curl https://github.com/... (different protocol), curl -L http://bit.ly/xyz (redirects to GitHub), URL=http://github.com && curl $URL (variable), or curl http://github.com... - Source: dev.to / 11 days ago
Fallback chains โ og:title โ twitter:title โ- SSRF protection โ if you fetch user-supplied URLs, you MUST block
localhost, RFC-1918 ranges, and internal hostnames, or your preview endpoint is a proxy into your own infrastructure- Caching โ you do not want to re-fetch a URL on every render
- Rate limiting โ a public...
- Source: dev.to / 14 days ago
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