OpenTelemetry
PulseAugur coverage of OpenTelemetry — every cluster mentioning OpenTelemetry across labs, papers, and developer communities, ranked by signal.
9 天有情绪数据
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OpenAI API users seek advice on usage monitoring tools
A Reddit user is seeking advice on monitoring their usage of the OpenAI API for AI applications. They have implemented OpenTelemetry and a dashboard to track metrics such as token usage, error rates, request duration, a…
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AI agent spending needs pre-call budget enforcement
A new approach is needed to govern spending on AI agents, as current token counters and observability tools are insufficient. The proposed solution involves implementing a pre-call budget enforcement system, similar to …
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Databricks integrates OpenTelemetry tracing for AI agents into Unity Catalog
Databricks has introduced a new feature allowing AI agents to write OpenTelemetry traces directly into Unity Catalog tables. This integration aims to overcome the limitations of traditional observability tools, which st…
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STRIDE-GPT tool models AI app threats, logs context, limits tokens
STRIDE-GPT is an open-source tool designed to generate STRIDE threat models for AI applications by analyzing architecture descriptions. It emphasizes treating LLM-specific assets like system prompts, RAG documents, and …
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Bronto integrates with Anthropic's Claude Code for AI usage monitoring
Bronto has released a new integration that allows users to send monitoring data from Anthropic's Claude Code to its platform. This integration enables developers and teams to gain insights into AI-assisted coding usage,…
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LLM serving observability: A layered approach for vLLM and TGI
This article details how to achieve end-to-end observability for large language model inference servers like vLLM and TGI. It highlights that standard observability tools fall short due to unique LLM serving characteris…
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Full-stack test observability connects siloed software testing
Software testing often occurs in isolated environments, leading to system failures when components interact in production. Full-stack test observability aims to bridge these gaps by connecting existing tests across fron…
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Spring AI integrates with LangSmith and OpenLIT for observability
This article details how to integrate Spring AI applications with observability tools like LangSmith or OpenLIT. The integration leverages OpenTelemetry and Arconia to provide key insights into AI-infused applications, …
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LLM observability platforms: Langfuse, LangSmith, and OpenTelemetry compared
This article explores the critical need for observability in production LLM services, highlighting the challenges of cost and error visibility. It compares three leading platforms: Langfuse, an open-source option focuse…
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Langfuse v4 integrates with Ollama for local LLM tracing
A new integration allows developers to trace local large language models using Langfuse v4 and Ollama. This setup, detailed in a blog post and available on GitHub, enables detailed logging of session IDs, user IDs, toke…
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Jneopallium project integrates diverse protocols for model building
The Jneopallium project has released updates demonstrating its capability to build models using various data protocols and standards. These updates showcase integration with OpenTelemetry, HL7 FHIR, MQTT with Sparkplug …
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Grafana dashboard enhances monitoring for Claude Code applications
A Grafana dashboard has been developed to enhance the monitoring of Claude Code applications by visualizing OpenTelemetry metrics. This integration allows developers to track application performance in real-time, identi…
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LLMs gain agency via tool use; Python monitoring gets observability
The first article details how to enable Large Language Models (LLMs) to interact with external systems through function calling and structured tools, transforming them into autonomous agents. It outlines defining tools …
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Heimdall MCP adds OpenTelemetry tracing to servers
Heimdall MCP is a new transparent proxy tool designed to provide visibility into MCP server interactions. It sits between MCP clients and servers, recording all communication as OpenTelemetry spans without requiring mod…
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LLM agent trace sampling: Cut costs by sampling valuable traces, not random ones
Capturing detailed traces for AI agents can become prohibitively expensive due to the high number of spans generated per user interaction. This article proposes a solution involving tail-based sampling, which analyzes t…
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.NET Aspire visualizer now supports local LLMs like Gemma 4 via Ollama
This article details how to integrate local LLMs, specifically the Gemma 4 model via Ollama, with the .NET Aspire GenAI visualizer. This setup allows developers to inspect LLM conversations, including prompts, responses…
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AWS Bedrock AgentCore Runtime enables serverless custom MCP proxies for AI agents
Amazon Bedrock AgentCore Runtime now supports serverless custom MCP proxies, allowing organizations to integrate existing compliance and control logic. This feature enables the deployment of custom logic as a standalone…
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OpenTelemetry founder eyes AI tools for project stabilization and graduation
The founder of the OpenTelemetry project, Ted Young, stated that AI tools may be necessary to help stabilize the project for its graduation from the CNCF. He emphasized the goal of making OpenTelemetry as "boring" and s…
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AWS offers LLM migration tools and integrates Claude Cowork into Bedrock
Amazon Web Services (AWS) has introduced a new solution designed to streamline the migration and upgrading of large language models (LLMs) for generative AI applications. This framework provides a systematic approach, i…