# LLM observability

LLM observability is the practice of collecting and analyzing telemetry from large-language-model applications to monitor behavior, performance, output quality, cost, safety, and reliability.

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## Mintlify acquires Helicone to redefine AI knowledge infrastructure

DevFeed: [Mintlify acquires Helicone to redefine AI knowledge infrastructure](<https://devfeed.tech/articles/mintlify-acquires-helicone-to-redefine-ai-knowledge-infrastructure-31067.md>)

Original publisher: [Read original article](<https://www.mintlify.com/blog/mintlify-acquires-helicone>)

Author: Han Wang

Published: 2026-03-03T00:00:00Z

Content type: release

Language: en

Sources: [Mintlify Blog](<https://devfeed.tech/sources/mintlify-blog.md>)

Topics: [gateway](<https://devfeed.tech/topics/gateway.md>), [LLM observability](<https://devfeed.tech/topics/llm-observability.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [agent observability](<https://devfeed.tech/topics/agent-observability.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [llm-observability](<https://devfeed.tech/tags/llm-observability.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open-source](<https://devfeed.tech/tags/open-source.md>)

### AI overview

Mintlify announces its acquisition of Helicone, an open source LLM observability platform and AI gateway. Helicone's team is joining Mintlify to help develop AI knowledge infrastructure, while Helicone will continue in maintenance mode with security updates, bug fixes, and new models.

### Source excerpt

Mintlify is acquiring Helicone, the open source LLM observability platform and AI gateway. Helicone's team has been building at the frontier of agentic AI, and they're joining to help us build the next generation of AI knowledge infrastructure.

## LLM Observability with LangFuse, OpenRouter, and Encore.ts

DevFeed: [LLM Observability with LangFuse, OpenRouter, and Encore.ts](<https://devfeed.tech/articles/llm-observability-with-langfuse-openrouter-and-encore-ts-17816.md>)

Original publisher: [Read original article](<https://encore.dev/blog/langfuse-tutorial>)

Author: Ivan Cernja

Published: 2025-11-27T00:00:00Z

Content type: tutorial

Language: en

Sources: [Encore Updates](<https://devfeed.tech/sources/encore-updates.md>)

Topics: [LLM observability](<https://devfeed.tech/topics/llm-observability.md>), [Large Language Model](<https://devfeed.tech/topics/llm.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [API](<https://devfeed.tech/topics/api.md>), [Open Source](<https://devfeed.tech/topics/open-source.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [llm](<https://devfeed.tech/tags/llm.md>), [observability](<https://devfeed.tech/tags/observability.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [traces](<https://devfeed.tech/tags/traces.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

This tutorial shows how to build and deploy a chat backend with LLM observability using LangFuse, OpenRouter, and Encore.ts. It covers tracing prompts and completions, tracking token usage, costs, latency, and user feedback, and using that data to compare models and optimize an application.

### Source excerpt

Building AI apps with built-in observability. Track every call, optimize performance.

## Agent-Facing Analytics, Data Lake Support, and More: A Year of ClickHouse Cloud on Azure

DevFeed: [Agent-Facing Analytics, Data Lake Support, and More: A Year of ClickHouse Cloud on Azure](<https://devfeed.tech/articles/agent-facing-analytics-data-lake-support-and-more-a-year-of-clickhouse-cloud-on-azure-4907.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/a-year-of-clickhouse-cloud-on-azure>)

Author: ClickHouse

Published: 2025-05-15T00:00:00Z

Content type: release

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [clickhouse](<https://devfeed.tech/topics/clickhouse.md>), [Azure](<https://devfeed.tech/topics/azure.md>), [Azure OpenAI](<https://devfeed.tech/topics/azure-openai.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [Model Context Protocol (MCP)](<https://devfeed.tech/topics/model-context-protocol-mcp.md>), [LLM observability](<https://devfeed.tech/topics/llm-observability.md>), [real-time](<https://devfeed.tech/topics/real-time.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>)

Tags: [azure](<https://devfeed.tech/tags/azure.md>), [azure-openai](<https://devfeed.tech/tags/azure-openai.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [llm-observability](<https://devfeed.tech/tags/llm-observability.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [real-time](<https://devfeed.tech/tags/real-time.md>)

### AI overview

The article reviews a year of ClickHouse Cloud on Microsoft Azure and announces expanded support for AI ecosystems, data lakes, onboarding, programming languages, cloud architecture, enterprise security, and compliance. It highlights Azure OpenAI and Model Context Protocol integrations for agent-facing real-time analytics, as well as LLM observability and Airflow pipeline insights.

### Source excerpt

Read on to learn more about our latest product announcements for ClickHouse Cloud on Azure, from AI ecosystems and data lake support, to data onboarding, and more.