🚀 Zaprep: Your Socials on Steroids. Start free with 1,000 automated DMs/month.

Is this your AI tool? Claim it today.

Verify ownership, manage your profile, and unlock growth features.

Tool Features

  • Ingests standard OpenTelemetry genai spans and OpenInference conventions
  • Supports instrumentation for LangChain, CrewAI, LlamaIndex, OpenAI, Anthropic, LiteLLM, and 80+ more frameworks
  • Online evaluation jobs score live spans, traces, or full sessions using LLM-as-judge
  • Quality dashboard with score configuration and sampling rate controls
  • Human reviewer annotation queues for trace scoring
  • Deployment options include managed cloud in multiple regions and self-hosted single binary
  • Cost attribution per token and priced per GB
  • 140x lower storage costs than Elasticsearch

Description

✦

OpenObserve AI & LLM Observability is a fast, scalable open source platform that uniquely traces every AI agent, tool call, and model request while scoring quality on live traffic and attributing costs per token. Ideal for enterprises and AI teams, it supports over 80 frameworks and offers up to 140x lower storage costs than Elasticsearch, making AI monitoring both comprehensive and cost-effective.

Your agent cost $40 and took 34 seconds. But why? OpenObserve traces every agent session across models, tools, services, datastores, and user sessions so you can see exactly where time, money, and quality went. Detect loops, run online evals, and follow failures from the LLM call through your backend and database, alongside the logs, traces, and metrics from the rest of your production stack.

Detailed Description

OpenObserve AI & LLM Observability is a cutting-edge open source observability platform designed specifically to monitor and trace every interaction within AI and large language model (LLM) ecosystems. Its core purpose is to provide developers, data scientists, and AI operators with deep visibility into the behavior of agents, tool calls, and model requests in real time. By capturing detailed telemetry data, OpenObserve enables users to assess the quality of AI outputs on live traffic, attribute costs accurately per token usage, and optimize performance and expenses effectively. This platform is built to scale efficiently and reduce storage costs dramatically compared to traditional solutions like Elasticsearch. The platform’s key features include ingestion of standard OpenTelemetry GenAI spans and adherence to OpenInference conventions, which ensures compatibility with a broad range of AI frameworks and tools. It supports instrumentation for over 80 frameworks and providers, including popular libraries such as LangChain, CrewAI, LlamaIndex, OpenAI, Anthropic, and LiteLLM. This extensive support allows users to unify observability across diverse AI stacks seamlessly. OpenObserve also offers online evaluation jobs that leverage LLMs as judges to score live spans, traces, or entire sessions, providing automated quality assessments that help maintain high standards in AI outputs. Users benefit from a comprehensive quality dashboard that allows configuration of scoring metrics and sampling rates, enabling tailored monitoring strategies. Additionally, human reviewer annotation queues facilitate manual trace scoring, which is critical for nuanced quality control and training data validation. Deployment flexibility is another strength, with options for managed cloud hosting across multiple regions or self-hosted single binary installations, catering to organizations with varying infrastructure preferences and compliance requirements. Pricing is transparent and usage-based, calculated per gigabyte of data ingested, with cost attribution per token to help teams understand and manage their AI operational expenses precisely. Remarkably, OpenObserve achieves up to 140 times lower storage costs compared to Elasticsearch, making it a cost-effective choice for large-scale AI observability. OpenObserve AI & LLM Observability is best suited for enterprises, AI research teams, and SaaS providers who rely heavily on AI agents and LLMs in production environments. It is particularly valuable for teams needing to monitor complex AI workflows, troubleshoot issues, optimize model usage, and control operational costs. Use cases include real-time monitoring of AI-driven applications, quality assurance of AI-generated content, cost tracking for token consumption, and compliance auditing. Its open source nature also appeals to organizations seeking customizable and extensible observability solutions without vendor lock-in. In comparison to alternatives, OpenObserve stands out with its native support for OpenTelemetry and OpenInference standards, extensive framework compatibility, and specialized features for AI quality scoring and cost attribution. While traditional observability tools focus on infrastructure metrics and logs, OpenObserve uniquely addresses the nuances of AI model interactions and token-based cost models. Its significantly lower storage costs and flexible deployment options provide a competitive advantage over commercial observability platforms and Elasticsearch-based setups. However, potential users should consider that as an open source platform, some advanced enterprise features or dedicated support might require additional investment or community engagement. The platform’s complexity and breadth of integrations may also necessitate a learning curve for teams new to AI observability or OpenTelemetry instrumentation. Nonetheless, its comprehensive capabilities and cost efficiency make it a compelling choice for organizations committed to robust AI monitoring and optimization.

Frequently Asked Questions

What is OpenObserve AI & LLM Observability?

OpenObserve AI & LLM Observability is an open source platform designed to provide detailed monitoring and tracing of AI agents, tool calls, and large language model requests. It enables users to score AI output quality on live traffic, attribute costs per token, and monitor logs, metrics, and traces with high scalability and cost efficiency.

How much does OpenObserve AI & LLM Observability cost?

OpenObserve pricing is usage-based and calculated per gigabyte of data ingested. It also offers cost attribution per token to help users understand expenses related to AI model usage. This pricing model ensures cost-effectiveness, especially with storage costs up to 140 times lower than Elasticsearch.

Who is OpenObserve AI & LLM Observability best for?

The platform is best suited for enterprises, AI research teams, and SaaS providers that deploy AI agents and large language models in production. It is ideal for those needing comprehensive observability, quality scoring, cost tracking, and troubleshooting across complex AI workflows.

What are the main features of OpenObserve AI & LLM Observability?

Key features include ingestion of OpenTelemetry GenAI spans, support for over 80 AI frameworks such as LangChain and OpenAI, online evaluation jobs using LLMs as judges, a configurable quality dashboard, human annotation queues for trace scoring, flexible deployment options (managed cloud or self-hosted), and cost attribution per token.

Does OpenObserve AI & LLM Observability offer a free trial?

While specific details about a free trial are not explicitly stated, OpenObserve is open source, allowing users to self-host and evaluate the platform without upfront costs. Managed cloud options may offer trial periods or demos upon inquiry through their sales channels.

What integrations does OpenObserve AI & LLM Observability support?

OpenObserve supports instrumentation for more than 80 frameworks and providers, including popular AI and LLM tools like LangChain, CrewAI, LlamaIndex, OpenAI, Anthropic, and LiteLLM. It also supports standard OpenTelemetry and OpenInference conventions for broad compatibility.

How does OpenObserve AI & LLM Observability work?

OpenObserve collects telemetry data from AI agents, tool calls, and model requests using OpenTelemetry GenAI spans and OpenInference standards. It processes this data to provide real-time quality scoring, cost attribution, and detailed observability through dashboards and annotation queues. The platform can be deployed on managed cloud infrastructure or self-hosted, enabling flexible integration into existing AI workflows.

Socials

Use Tool

Reviews

0 reviews

No reviews yet. Be the first to share your experience.

Sponsored Tools

Recommended Tools

Seedance 2.5

Verified

Seedance 2.5 represents a landmark advancement in AI video generation technology, developed by ByteDance's Volcano Engine as the next-generation production-grade video foundation model. Unveiled in June 2026 and scheduled for full commercial release in early July, this iteration marks a structural leap forward from its predecessor, Seedance 2.0, transcending incremental quality refinements to address the fundamental limitations that have constrained AI video from true commercial viability. Built on an optimized diffusion architecture with industry-leading computational efficiency, Seedance 2.5 transforms AI video from fragmented visual snippets into a complete narrative medium, empowering creators, marketers, studios, and industrial teams to produce polished, consistent, and story-driven video content at unprecedented speed and scale. At the core of Seedance 2.5's breakthrough is its industry-leading 30-second native single-segment generation capability, doubling the 15-second ceiling of the 2.0 version and establishing a new global benchmark for continuous AI video output. Unlike conventional approaches that require stitching multiple short clips together—a workflow plagued by character inconsistency, lighting discontinuities, motion artifacts, and narrative fragmentation—Seedance 2.5 generates full 30-second sequences end-to-end in a single pass. Within this duration, the model maintains remarkable coherence across character appearance, physical motion, lighting atmosphere, and camera logic, enabling complete narrative arcs with proper setup, development, and resolution. This eliminates the labor-intensive post-production stitching process, reduces generation cycles for standard 90-second promotional videos from nine-plus segments to just three or four, and fundamentally elevates AI video from a novelty demonstration tool to a genuine narrative production instrument. The 30-second window comfortably accommodates full product demonstrations, complete short drama scenes, voiceover-accompanied explanatory sequences, and full music video segments, covering the majority of short-form commercial video requirements. Complementing its extended duration is Seedance 2.5's industry-most comprehensive multi-modal reference system, supporting up to 50 reference assets simultaneously including images, video clips, and audio tracks—a nearly fivefold increase over the previous generation's 12-asset limit. This massive expansion delivers unprecedented creative stability and controllability. The model holistically synthesizes stylistic attributes, character likenesses, shot compositions, and tonal qualities from all reference inputs, ensuring consistent visual identity across multiple generations. For brand content production, serialized IP development, and batch video creation, this resolves the longstanding pain point of AI video's inherent randomness—where each generation produces noticeably different results. Marketing teams can lock in brand color palettes, product specifications, and spokesperson appearances across dozens of output variants, while film teams can replicate specific cinematic styles, camera languages, and set aesthetics with remarkable fidelity. The reference system intelligently reconciles multi-source inputs without style conflicts, enabling complex multi-character scenes where every performer maintains consistent facial features, costumes, and proportions throughout the sequence. Seedance 2.5 further elevates creative control through its precision camera manipulation tools and built-in library of 50 professional cinematic shot templates. Creators can directly command camera movements—including push-ins, pull-outs, pans, tilts, and orbital shots—and specify shot scales from extreme close-ups to wide establishing shots. The curated template library organizes proven cinematic compositions by mood, shot type, and pacing, allowing users to achieve professional-grade cinematography without specialized film knowledge. Beyond generation, the model introduces advanced local editing capabilities that enable post-generation modifications such as background replacement, costume changes, and motion adjustments without full re-rendering, transforming the system from a pure content generator into an interactive creative decision-support tool. In terms of visual fidelity, Seedance 2.5 delivers native 4K resolution output at 30 frames per second with 10-bit color depth, eliminating the quality degradation inherent in upscaling lower-resolution sources. Fine details—fabric textures, hair strands, embroidery, and surface materials—remain crisp and defined rather than being smoothed away by super-resolution algorithms. Internal benchmarks demonstrate approximately 15% higher color accuracy than competing models, with particularly improved skin tone rendition and reduced teal-orange color grading bias, making outputs directly usable for professional advertising, corporate video, and broadcast applications. The platform also supports multiple aspect ratios including vertical, square, and widescreen formats for seamless cross-platform distribution across social media, e-commerce, and web channels. Beyond creative industries, Seedance 2.5 is engineered for industrial-grade deployment across manufacturing, retail, education, and advanced technology sectors. Enterprises leverage it to produce localized product documentation, multilingual training materials, and customer support videos at drastically reduced costs. In high-tech applications, it generates synthetic training data for embodied intelligence systems and simulates extreme weather or edge-case driving scenarios for autonomous vehicle development, addressing real-world data scarcity challenges. With API access for workflow automation, batch generation capabilities, and team collaboration features, Seedance 2.5 positions itself not merely as a creative tool but as foundational visual infrastructure for the AI era, bridging the gap between generative technology and real-world productivity.

  • Creates 30-second native 4K video
  • Uses 50 multimodal references
  • 3D pre-visualization

390

VIEWS

29

UPVOTES

FREEMIUM

Stay updated on latest Ai tools

Get the latest insights, Join our newsletter

Read and trusted by 50,000+ readers

Join the biggest AI Community

Our community and staff are here to help!
Your feedback will help Alice AI improve in future versions.

https://x.com/poweredbyai_apphttps://discord.gg/kzca34z2AQhttps://www.linkedin.com/company/poweredbyai/https://www.instagram.com/poweredbyai.apphttps://www.youtube.com/@Poweredbyai_officialhttps://www.facebook.com/poweredbyaiappmailto:support@poweredbyai.app
Use Tool

Submit your Tool

Submit AI Tools – The ultimate platform to discover, submit, and explore the best AI tools across various categories.Listed on codetrendy.comFeatured on ListBulb

PoweredByAI.app is an AI Tools Directory helping individuals, businesses, and creators discover the best AI tools for writing, coding, design, productivity, and more.

© 2026 , Product of011BQ. All rights reserved.