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      <title>OpenLIT</title>
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      <description>OpenLIT is an open-source agent harness engineering platform: OpenTelemetry-native agent observability, evals, guardrails, prompt management, and cost and GPU monitoring for AI agents and coding agents. Free to self-host under Apache 2.0.</description>
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  <item>
    <guid>https://openlit.io/blogs/typesafe-jev-evals-and-observability</guid>
    <title>TypeSafe Jev in OpenLIT: Day 1 Evals and Observability</title>
    <link>https://openlit.io/blogs/typesafe-jev-evals-and-observability</link>
    <description>OpenLIT adds day 1 TypeSafe Jev support. Use System One as your eval judge and trace system_one calls with OpenTelemetry from one openlit.init().</description>
    <pubDate>Mon, 21 Sep 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>typesafe</category><category>jev</category><category>evaluations</category><category>observability</category><category>opentelemetry</category><category>llm</category><category>production</category><category>genai</category>
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  <item>
    <guid>https://openlit.io/blogs/langfuse-alternatives</guid>
    <title>Best Langfuse alternatives (open source, 2026)</title>
    <link>https://openlit.io/blogs/langfuse-alternatives</link>
    <description>Honest roundup of open-source Langfuse alternatives in 2026: OpenLIT, Arize Phoenix, Comet Opik, Helicone, OpenLLMetry/Traceloop, and when to stay on Langfuse. License, self-host, and OpenTelemetry stance for each.</description>
    <pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>langfuse</category><category>llm-observability</category><category>opentelemetry</category><category>open-source</category><category>comparison</category>
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  <item>
    <guid>https://openlit.io/blogs/open-source-llm-evaluation-prompt-management</guid>
    <title>Best open-source tools for LLM evaluation and prompt management (2026)</title>
    <link>https://openlit.io/blogs/open-source-llm-evaluation-prompt-management</link>
    <description>Roundup of open-source and popular tools for LLM evaluation and prompt management: OpenLIT Prompt Hub and evaluations, Langfuse, Arize Phoenix, Comet Opik, Braintrust, and Promptfoo, and where each fits.</description>
    <pubDate>Sat, 19 Sep 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>llm-evaluation</category><category>prompt-management</category><category>prompt-hub</category><category>open-source</category><category>llm-as-a-judge</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/parseable-openlit-agents-observability</guid>
    <title>AI agent observability with OpenLIT and Parseable</title>
    <link>https://openlit.io/blogs/parseable-openlit-agents-observability</link>
    <description>Build AI agent observability with OpenLIT and Parseable to trace model and tool calls, evaluate output, retain telemetry and investigate incidents.</description>
    <pubDate>Fri, 11 Sep 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>parseable</category><category>observability</category><category>opentelemetry</category><category>tracing</category><category>monitoring</category><category>logging</category><category>ai-agents</category><category>genai</category>
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  <item>
    <guid>https://openlit.io/blogs/oodle-openlit-agents-observability</guid>
    <title>Observability for AI Applications Using Oodle and OpenLIT</title>
    <link>https://openlit.io/blogs/oodle-openlit-agents-observability</link>
    <description>Instrument LLM apps and agents with OpenLIT in one line and ship both metrics and traces to Oodle.</description>
    <pubDate>Fri, 21 Aug 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>oodle</category><category>observability</category><category>opentelemetry</category><category>tracing</category><category>monitoring</category><category>ai-agents</category><category>genai</category><category>promql</category>
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  <item>
    <guid>https://openlit.io/blogs/gpu-util-is-a-vanity-metric</guid>
    <title>GPU Utilization Is a Vanity Metric. Here is the GPU SLI for Inference</title>
    <link>https://openlit.io/blogs/gpu-util-is-a-vanity-metric</link>
    <description>GPU utilization from nvidia-smi, DCGM, and NVML is a vanity metric for LLM inference. SLO memory headroom, throttle-free time, allocated vs idle, CUDA health, and NVLink instead. OpenTelemetry hw.gpu metrics work with OpenLIT or any OTLP backend.</description>
    <pubDate>Fri, 14 Aug 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>gpu</category><category>gpu-monitoring</category><category>gpu-observability</category><category>llm</category><category>inference</category><category>opentelemetry</category><category>self-hosted</category>
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  <item>
    <guid>https://openlit.io/blogs/talk-to-your-telemetry-debugging-llms-with-openlits-otter-ai-copilot</guid>
    <title>Talk to Your Telemetry: Debugging LLMs with OpenLIT&#39;s Otter AI Copilot</title>
    <link>https://openlit.io/blogs/talk-to-your-telemetry-debugging-llms-with-openlits-otter-ai-copilot</link>
    <description>A deep dive into OpenLIT&#39;s Otter AI Copilot—the tool-calling assistant that lets you query traces, write Rule Engine rules, manage the Prompt Hub, and register custom model pricing conversationally.</description>
    <pubDate>Wed, 08 Jul 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>opentelemetry</category><category>llm</category><category>observability</category><category>otter</category><category>ai-copilot</category>
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  <item>
    <guid>https://openlit.io/blogs/victoriametrics-openlit-agents-observability</guid>
    <title>Observability for LLM Apps and Agents: OpenLIT SDK + VictoriaMetrics Observability Stack</title>
    <link>https://openlit.io/blogs/victoriametrics-openlit-agents-observability</link>
    <description>A joint OpenLIT + VictoriaMetrics guide to observability for LLM apps and agents - OTel GenAI semantic conventions, PromQL queries for cost, recursion, and cache hit rate, alerting rules that earn their keep, and a fully self-hosted, vendor-neutral pipeline for metrics, traces, and logs.</description>
    <pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>victoriametrics</category><category>observability</category><category>opentelemetry</category><category>tracing</category><category>monitoring</category><category>logging</category><category>ai-agents</category><category>genai</category>
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  <item>
    <guid>https://openlit.io/blogs/how-to-detect-hallucinations-in-your-rag-pipeline</guid>
    <title>How to Detect Hallucinations in Your RAG Pipeline (with Code Examples)</title>
    <link>https://openlit.io/blogs/how-to-detect-hallucinations-in-your-rag-pipeline</link>
    <description>Catch LLM hallucinations programmatically using OpenLIT&#39;s evaluation SDK. Includes Python code examples for hallucination, toxicity, and bias detection with OpenTelemetry export.</description>
    <pubDate>Tue, 07 Apr 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>rag</category><category>hallucination</category><category>evaluation</category><category>llm</category><category>python</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/tracking-llm-costs-in-production</guid>
    <title>Tracking LLM Costs in Production: Per-Model, Per-Request, Per-User Attribution</title>
    <link>https://openlit.io/blogs/tracking-llm-costs-in-production</link>
    <description>Break down LLM costs by model, service, user, and environment using OpenLIT. Auto-calculated token costs exported as OpenTelemetry metrics to Grafana, Datadog, or any backend.</description>
    <pubDate>Tue, 31 Mar 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>cost-tracking</category><category>finops</category><category>llm</category><category>opentelemetry</category><category>production</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/gpu-monitoring-for-llm-inference-what-to-track-and-why-it-matters</guid>
    <title>GPU Monitoring for LLM Inference: What to Track and Why It Matters</title>
    <link>https://openlit.io/blogs/gpu-monitoring-for-llm-inference-what-to-track-and-why-it-matters</link>
    <description>Learn which GPU metrics matter for LLM inference workloads and how to collect them as OpenTelemetry signals using OpenLIT&#39;s GPU collector. Supports NVIDIA and AMD.</description>
    <pubDate>Fri, 27 Mar 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>gpu</category><category>nvidia</category><category>opentelemetry</category><category>infrastructure</category><category>llm</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/how-to-add-observability-to-your-llm-app-in-2-minutes-with-opentelemetry</guid>
    <title>How to Add Observability to Your LLM App in 2 Minutes with OpenTelemetry</title>
    <link>https://openlit.io/blogs/how-to-add-observability-to-your-llm-app-in-2-minutes-with-opentelemetry</link>
    <description>Add full tracing, metrics, and cost tracking to any LLM application with one line of code using OpenLIT and OpenTelemetry. Works with OpenAI, Anthropic, and 40+ providers.</description>
    <pubDate>Thu, 26 Mar 2026 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>opentelemetry</category><category>llm</category><category>observability</category><category>getting-started</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/openlit-fleet-hub-at-scale</guid>
    <title>Fleet Hub Playbook for Multi-Region AI Observability</title>
    <link>https://openlit.io/blogs/openlit-fleet-hub-at-scale</link>
    <description>Coordinate fleets of OpenTelemetry collectors for GenAI workloads with OpenLIT Fleet Hub and the OpAMP protocol.</description>
    <pubDate>Fri, 07 Nov 2025 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>opentelemetry</category><category>llm</category><category>production</category><category>fleet-hub</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/openlit-openwebui</guid>
    <title>Monitoring LLM Usage in OpenWebUI with OpenLIT</title>
    <link>https://openlit.io/blogs/openlit-openwebui</link>
    <description>This guide walks you through integrating OpenLIT with OpenWebUI using pipelines, covering installation, configuration, and practical use cases for monitoring and observability of LLMs including token tracking, cost analysis, and GPU metrics.</description>
    <pubDate>Fri, 28 Feb 2025 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>open-webui</category><category>llms</category><category>observability</category><category>monitoring</category><category>opentelemetry</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/protect-prompt-injection</guid>
    <title>How to protect your OpenAI/LLM Apps from Prompt Injection Attacks</title>
    <link>https://openlit.io/blogs/protect-prompt-injection</link>
    <description>Learn how to safeguard your OpenAI and LLM apps from prompt injection attacks using UUIDs, input validation, and monitoring strategies with OpenLIT.</description>
    <pubDate>Wed, 23 Oct 2024 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>langchain</category><category>observability</category><category>prompt injection</category><category>openai</category>
  </item>

  <item>
    <guid>https://openlit.io/blogs/observability-with-openlit</guid>
    <title>Unlocking Seamless GenAI &amp; LLM Observability with OpenLIT</title>
    <link>https://openlit.io/blogs/observability-with-openlit</link>
    <description>OpenLIT offers seamless, OpenTelemetry-native observability for GenAI and LLMs, simplifying performance and cost tracking.</description>
    <pubDate>Thu, 15 Aug 2024 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>llm</category><category>genai</category><category>observability</category>
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  <item>
    <guid>https://openlit.io/blogs/pipeline-for-llm-apps</guid>
    <title>Designing an Observability Pipeline for LLM Applications</title>
    <link>https://openlit.io/blogs/pipeline-for-llm-apps</link>
    <description>Observability for LLMs ensures performance, user insights, and GPU monitoring. Learn how to design and implement a complete observability pipeline for your LLM applications.</description>
    <pubDate>Thu, 15 Aug 2024 00:00:00 GMT</pubDate>
    <author>contact@openlit.io (OpenLIT)</author>
    <category>openlit</category><category>llm</category><category>observability</category>
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