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docs: add blog post about observability in multi-step llms

Open jannikmaierhoefer opened this issue 1 year ago • 2 comments

[!IMPORTANT] Adds a blog post on observability in multi-step LLM systems, covering strategies for performance optimization, feedback collection, and testing.

  • Content:
    • New blog post "Observability in Multi-Step LLM Systems" added to 2024-10-observability-in-multi-setp-llm-systems.mdx.
    • Discusses strategies for enhancing observability and traceability in LLM systems.
    • Covers feedback collection methods and rigorous application testing.
  • Key Topics:
    • Importance of observability for identifying bottlenecks and improving performance.
    • Techniques for resolving latency bottlenecks using tracing, metrics, and visualization tools.
    • Methods for collecting feedback: explicit, implicit, human annotation, and automated evaluations.
    • Testing strategies using "golden data" for reliable LLM application performance.

This description was created by Ellipsis for 1f21bf1e981dc0671160666f2bb95d3f728cb936. It will automatically update as commits are pushed.

jannikmaierhoefer avatar Oct 07 '24 22:10 jannikmaierhoefer

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📦 Next.js Bundle Analysis for langfuse-docs

This analysis was generated by the Next.js Bundle Analysis action. 🤖

New Page Added

The following page was added to the bundle from the code in this PR:

Page Size (compressed) First Load % of Budget (350 KB)
/blog/2024-10-observability-in-multi-setp-llm-systems 30.2 KB 351.43 KB 100.41%

Three Hundred Fifteen Pages Changed Size

The following pages changed size from the code in this PR compared to its base branch:

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/ 40.27 KB 361.5 KB 103.28% (🟡 +0.04%)
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Details

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github-actions[bot] avatar Oct 08 '24 08:10 github-actions[bot]

📦 Next.js Bundle Analysis for langfuse-docs

This analysis was generated by the Next.js Bundle Analysis action. 🤖

New Page Added

The following page was added to the bundle from the code in this PR:

Page Size (compressed) First Load % of Budget (350 KB)
/blog/2024-10-observability-in-multi-step-llm-systems 30.79 KB 352.66 KB 100.76%

Three Hundred Twenty-two Pages Changed Size

The following pages changed size from the code in this PR compared to its base branch:

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Details

Only the gzipped size is provided here based on an expert tip.

First Load is the size of the global bundle plus the bundle for the individual page. If a user were to show up to your website and land on a given page, the first load size represents the amount of javascript that user would need to download. If next/link is used, subsequent page loads would only need to download that page's bundle (the number in the "Size" column), since the global bundle has already been downloaded.

Any third party scripts you have added directly to your app using the <script> tag are not accounted for in this analysis

The "Budget %" column shows what percentage of your performance budget the First Load total takes up. For example, if your budget was 100kb, and a given page's first load size was 10kb, it would be 10% of your budget. You can also see how much this has increased or decreased compared to the base branch of your PR. If this percentage has increased by 20% or more, there will be a red status indicator applied, indicating that special attention should be given to this. If you see "+/-

github-actions[bot] avatar Oct 14 '24 22:10 github-actions[bot]

📦 Next.js Bundle Analysis for langfuse-docs

This analysis was generated by the Next.js Bundle Analysis action. 🤖

New Page Added

The following page was added to the bundle from the code in this PR:

Page Size (compressed) First Load % of Budget (350 KB)
/blog/2024-10-observability-in-multi-step-llm-systems 30.79 KB 352.67 KB 100.76%

Three Hundred Twenty-two Pages Changed Size

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Details

Only the gzipped size is provided here based on an expert tip.

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github-actions[bot] avatar Oct 14 '24 22:10 github-actions[bot]

📦 Next.js Bundle Analysis for langfuse-docs

This analysis was generated by the Next.js Bundle Analysis action. 🤖

New Page Added

The following page was added to the bundle from the code in this PR:

Page Size (compressed) First Load % of Budget (350 KB)
/blog/2024-10-observability-in-multi-step-llm-systems 31.31 KB 353.18 KB 100.91%

Three Hundred Twenty-nine Pages Changed Size

The following pages changed size from the code in this PR compared to its base branch:

Page Size (compressed) First Load % of Budget (350 KB)
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/faq/tag/integration-openai 24.71 KB 346.58 KB 99.02% (🟡 +0.03%)
/faq/tag/product 24.7 KB 346.57 KB 99.02% (🟡 +0.03%)
/faq/tag/prompt-management 24.71 KB 346.58 KB 99.02% (🟡 +0.03%)
/faq/tag/security 24.7 KB 346.57 KB 99.02% (🟡 +0.03%)
/faq/tag/self-hosting 24.7 KB 346.57 KB 99.02% (🟡 +0.03%)
/faq/tag/setup 24.69 KB 346.57 KB 99.02% (🟡 +0.03%)
/faq/tag/tracing 24.7 KB 346.57 KB 99.02% (🟡 +0.03%)
/guides 25.11 KB 346.99 KB 99.14% (🟡 +0.03%)
/guides/cookbook/datasets 27.14 KB 349.01 KB 99.72% (🟡 +0.03%)
/guides/cookbook/evaluation_of_rag_with_ragas 29.67 KB 351.54 KB 100.44% (🟡 +0.03%)
/guides/cookbook/evaluation_with_langchain 27.08 KB 348.95 KB 99.70% (🟡 +0.03%)
/guides/cookbook/evaluation_with_uptrain 28.43 KB 350.3 KB 100.09% (🟡 +0.03%)
/guides/cookbook/example_decorator_openai_langchain 25.54 KB 347.41 KB 99.26% (🟡 +0.03%)
/guides/cookbook/example_external_evaluation_pipelines 33.38 KB 355.25 KB 101.50% (🟡 +0.03%)
/guides/cookbook/example_intent_classification_pipeline 32.49 KB 354.36 KB 101.25% (🟡 +0.02%)
/guides/cookbook/example_llm_security_monitoring 33.5 KB 355.37 KB 101.54% (🟡 +0.02%)
/guides/cookbook/integration_amazon_bedrock 28.43 KB 350.3 KB 100.09% (🟡 +0.02%)
/guides/cookbook/integration_azure_openai_langchain 27.05 KB 348.92 KB 99.69% (🟡 +0.03%)
/guides/cookbook/integration_dspy 29.85 KB 351.72 KB 100.49% (🟡 +0.03%)
/guides/cookbook/integration_haystack 29.87 KB 351.74 KB 100.50% (🟡 +0.03%)
/guides/cookbook/integration_instructor 27.77 KB 349.65 KB 99.90% (🟡 +0.03%)
/guides/cookbook/integration_langchain 30.93 KB 352.8 KB 100.80% (🟡 +0.03%)
/guides/cookbook/integration_langgraph 35.46 KB 357.33 KB 102.09% (🟡 +0.03%)
/guides/cookbook/integration_langserve 26.66 KB 348.53 KB 99.58% (🟡 +0.03%)
/guides/cookbook/integration_litellm_proxy 27.93 KB 349.8 KB 99.94% (🟡 +0.03%)
/guides/cookbook/integration_llama-index 26.19 KB 348.07 KB 99.45% (🟡 +0.03%)
/guides/cookbook/integration_llama-index_instrumentation 26.33 KB 348.2 KB 99.49% (🟡 +0.02%)
/guides/cookbook/integration_llama-index_milvus-lite 26.56 KB 348.43 KB 99.55% (🟡 +0.03%)
/guides/cookbook/integration_llama_index_posthog_mistral 29.52 KB 351.39 KB 100.40% (🟡 +0.03%)
/guides/cookbook/integration_mirascope 26.25 KB 348.13 KB 99.46% (🟡 +0.03%)
/guides/cookbook/integration_mistral_sdk 33.04 KB 354.91 KB 101.40% (🟡 +0.03%)
/guides/cookbook/integration_ollama 27.73 KB 349.6 KB 99.89% (🟡 +0.02%)
/guides/cookbook/integration_openai_assistants 27.33 KB 349.2 KB 99.77% (🟡 +0.03%)
/guides/cookbook/integration_openai_sdk 28.71 KB 350.58 KB 100.17% (🟡 +0.03%)
/guides/cookbook/integration_openai_structured_output 28.07 KB 349.94 KB 99.98% (🟡 +0.03%)
/guides/cookbook/js_integration_langchain 25.29 KB 347.17 KB 99.19% (🟡 +0.03%)
/guides/cookbook/js_integration_litellm_proxy 27.59 KB 349.47 KB 99.85% (🟡 +0.03%)
/guides/cookbook/js_integration_openai 28.07 KB 349.94 KB 99.98% (🟡 +0.03%)
/guides/cookbook/js_prompt_management_langchain 26.94 KB 348.81 KB 99.66% (🟡 +0.03%)
/guides/cookbook/js_tracing_example_vercel_ai_sdk 29.15 KB 351.03 KB 100.29% (🟡 +0.03%)
/guides/cookbook/langfuse_sdk_performance_test 27.63 KB 349.5 KB 99.86% (🟡 +0.03%)
/guides/cookbook/prompt_management_langchain 27.49 KB 349.36 KB 99.82% (🟡 +0.03%)
/guides/cookbook/prompt_management_openai_functions 27.6 KB 349.47 KB 99.85% (🟡 +0.03%)
/guides/cookbook/python_decorators 32.54 KB 354.41 KB 101.26% (🟡 +0.03%)
/guides/cookbook/python_sdk_low_level 34.54 KB 356.41 KB 101.83% (🟡 +0.03%)
/guides/videos/beginners-guide-to-rag-evaluation 25.69 KB 347.57 KB 99.30% (🟡 +0.03%)
/guides/videos/external-evaluation-pipelines 24.15 KB 346.02 KB 98.86% (🟡 +0.03%)
/guides/videos/haystack 23.92 KB 345.79 KB 98.80% (🟡 +0.03%)
/guides/videos/introducing-datasets-v2 24.13 KB 346 KB 98.86% (🟡 +0.03%)
/guides/videos/introducing-langfuse-2.0 23.92 KB 345.79 KB 98.80% (🟡 +0.03%)
/guides/videos/introducing-python-decorator 24.21 KB 346.09 KB 98.88% (🟡 +0.03%)
/guides/videos/llama-index 23.92 KB 345.79 KB 98.80% (🟡 +0.03%)
/guides/videos/llm-playground 23.91 KB 345.78 KB 98.80% (🟡 +0.02%)
/guides/videos/posthog-integration 23.89 KB 345.76 KB 98.79% (🟡 +0.03%)
/guides/videos/webinar-observability-llm-systems 24.55 KB 346.42 KB 98.98% (🟡 +0.03%)
/imprint 25.27 KB 347.14 KB 99.18% (🟡 +0.03%)
/library 25.06 KB 346.93 KB 99.12% (🟡 +0.03%)
/oss-friends 24.11 KB 345.98 KB 98.85% (🟡 +0.03%)
/pricing 30.27 KB 352.14 KB 100.61% (🟡 +0.03%)
/privacy 35.16 KB 357.03 KB 102.01% (🟡 +0.03%)
/schedule-demo 25.41 KB 347.28 KB 99.22% (🟡 +0.03%)
/support 25.1 KB 346.98 KB 99.14% (🟡 +0.03%)
/terms 24.07 KB 345.94 KB 98.84% (🟡 +0.03%)
/why 25.4 KB 347.28 KB 99.22% (🟡 +0.03%)
Details

Only the gzipped size is provided here based on an expert tip.

First Load is the size of the global bundle plus the bundle for the individual page. If a user were to show up to your website and land on a given page, the first load size represents the amount of javascript that user would need to download. If next/link is used, subsequent page loads would only need to download that page's bundle (the number in the "Size" column), since the global bundle has already been downloaded.

Any third party scripts you have added directly to your app using the <script> tag are not accounted for in this analysis

The "Budget %" column shows what percentage of your performance budget the First Load total takes up. For example, if your budget was 100kb, and a given page's first load size was 10kb, it would be 10% of your budget. You can also see how much this has increased or decreased compared to the base branch of your PR. If this percentage has increased by 20% or more, there will be a red status indicator applied, indicating that special attention should be given to this. If you see "+/-

github-actions[bot] avatar Oct 15 '24 22:10 github-actions[bot]