> ## Documentation Index > Fetch the complete documentation index at: https://docs.honeyhive.ai/llms.txt > Use this file to discover all available pages before exploring further. # HoneyHive Overview > Modern AI Observability and Evaluation > [!NOTE] > > Looking for the latest HoneyHive docs? See [HoneyHive v2](https://docs.honeyhive.ai/v2/introduction/what-is-hhai.md). ![](https://cdn.prod.website-files.com/65483e3a00a324531a626c4e/668ff93d34533dc388e193ff_c47e1cbea5c5283a85b92adf81936a30_image%20%28340%29.png) HoneyHive is the **AI Observability and Evaluation Platform** that empowers developers and domain experts to collaborate and build reliable AI agents faster. We provide a unified platform for tracing, evaluating, and monitoring AI agents throughout the entire Agent Development Lifecycle (ADLC). ## Evaluation-Driven Development Workflow Traditional AI development is reactive—you build, deploy, and hope for the best. HoneyHive enables a systematic **Evaluation-Driven Development (EDD)** approach, similar to Test-Driven Development in software engineering, where evaluation guides every stage of the Agent Development Lifecycle. **1. Production: Observe and Evaluate Agents** Deploy your AI application with distributed tracing to capture every interaction. Collect real-world traces, user feedback, and quality metrics from production. Run **online evals** to identify edge cases and evaluate quality at scale. Set up alerts to monitor critical failures or metric drift over time. > [tab] Traces > > ![](https://mintcdn.com/honeyhiveai/sFOpWw98R-jnkhpC/images/product-traces.png?fit=max\&auto=format\&n=sFOpWw98R-jnkhpC\&q=85\&s=99d66a25e27f2188b49cc0185ec8b607) > [tab] Agent Graphs > > ![](https://mintcdn.com/honeyhiveai/81DpusKRfAED9ab1/images/NewGraphView.png?fit=max\&auto=format\&n=81DpusKRfAED9ab1\&q=85\&s=2ca201663a04093a65acf7b5fe0ff0f6) > [tab] Threads > > ![](https://mintcdn.com/honeyhiveai/81DpusKRfAED9ab1/images/ThreadView.png?fit=max\&auto=format\&n=81DpusKRfAED9ab1\&q=85\&s=4b17866633b3fcad1098e57b3a813341) > [tab] Timeline View > > ![](https://mintcdn.com/honeyhiveai/sFOpWw98R-jnkhpC/images/timeline-view.png?fit=max\&auto=format\&n=sFOpWw98R-jnkhpC\&q=85\&s=4afe8f25efea30423253c21c6946baf7) > [tab] Dashboard > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-dashboard.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=a96b23c318597e7650d96ca6151e1892) > [tab] Alerts > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-alerts.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=75d3ba2822f5d3f747ab9d03243943ac) **2. Testing: Curate Datasets & Run Experiments** Transform failing traces from production into curated datasets. Run comprehensive experiments to quantify performance and **track regressions** as you change prompts, models, tools, and more. > [tab] Experiments > > ![](https://mintcdn.com/honeyhiveai/81DpusKRfAED9ab1/images/NewExperiments.png?fit=max\&auto=format\&n=81DpusKRfAED9ab1\&q=85\&s=7cf07761ca0454aeeb67d45cb58dda45) > [tab] Datasets > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-datapoint.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=76b7381517d0c5be5c634f0e03a3e194) > [tab] Regression Tests > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-regressions.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=23932c9a312f4408b289b87b36c0d8ae) > [tab] LLM Evaluators > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-llm.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=01cc471bc2e45ffa063e5ab7a8fe26b9) > [tab] Code Evaluators > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-code.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=ba616b85f884ec63d70847e3d62fc0b5) > [tab] Annotation Queues > > ![](https://mintcdn.com/honeyhiveai/81DpusKRfAED9ab1/images/AnnotationQueues.png?fit=max\&auto=format\&n=81DpusKRfAED9ab1\&q=85\&s=69951687bdb69d9874f5fe4c6256aed4) **3. Development: Iterate & Refine Prompts** Use evaluation results to guide improvements. **Iterate on prompts**, test new models, and optimize your AI application based on data-driven insights. Test changes against your curated datasets before deploying to production. > [tab] Playground > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-playground.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=7b8d091a5c4e34b26be775f11270a9da) > [tab] Prompt Management > > ![](https://mintcdn.com/honeyhiveai/EWG3R5yYrwNnHjQ7/images/product-prompts.png?fit=max\&auto=format\&n=EWG3R5yYrwNnHjQ7\&q=85\&s=f69662f3ea6bc1c742e416c698695d24) **4. Repeat: Continuous Improvement** Deploy improvements to production and continue the cycle. Each iteration builds on data-driven insights, creating a **flywheel of continuous improvement** that ensures your AI systems become more reliable over time. ![](https://cdn.prod.website-files.com/65483e3a00a324531a626c4e/673b754f7eb65e18df13f812_image%20\(363\).png) The Modern Agent Development Lifecycle (ADLC) ## Platform Capabilities Explore the core features that power your AI development lifecycle: > [card] [Tracing](https://docs.honeyhive.ai/tracing/introduction.md) > > Capture and visualize every step of your AI application with distributed tracing. > [card] [Experiments & Datasets](https://docs.honeyhive.ai/evaluation/introduction.md) > > Test changes with offline experiments and curated datasets before production. > [card] [Monitoring & Alerting](https://docs.honeyhive.ai/monitoring/overview.md) > > Track metrics with dashboards and get instant alerts when quality degrades. > [card] [Online Evaluations](https://docs.honeyhive.ai/evaluators/introduction.md) > > Run automated evals on traces to monitor quality and catch issues early. > [card] [Annotation Queues](https://docs.honeyhive.ai/evaluators/human.md) > > Collect expert feedback and turn qualitative insights into labeled datasets. > [card] [Prompt Management](https://docs.honeyhive.ai/prompts/overview.md) > > Centrally manage and version prompts across UI and code. ## Open Standards, Open Ecosystem HoneyHive is natively built on **OpenTelemetry**, making it fully agnostic across models, frameworks, and clouds. Integrate seamlessly with your existing AI stack with no vendor lock-in. ![HoneyHive Ecosystem](https://mintcdn.com/honeyhiveai/W7aN2oGPMTbOQxZv/images/integrations.png?fit=max\&auto=format\&n=W7aN2oGPMTbOQxZv\&q=85\&s=cf54dd0823a45251353273cdef8a2c99) > [card] Model Agnostic > > Works with any LLM—OpenAI, Anthropic, Bedrock, open-source, and more. > [card] Framework Agnostic > > Native support for LangChain, CrewAI, Google ADK, AWS Strands, and more. > [card] Cloud Agnostic > > Deploy on AWS, GCP, Azure, or on-premises—works anywhere. > [card] Built on Open Standards > > OpenTelemetry-native for interoperability and future-proof infrastructure. ## Deployment Options > [card] [SaaS Cloud](https://docs.honeyhive.ai/setup) > > Fully-managed, multi-tenant platform. Get started in minutes. > [card] [Dedicated Cloud](https://docs.honeyhive.ai/setup/dedicated.md) > > Private, single-tenant environment managed by our team. > [card] [Self-Hosted](https://docs.honeyhive.ai/setup/self-hosted.md) > > Deploy in your VPC for complete control and compliance. ## Quickstart Guides > [card] [Start Tracing](https://docs.honeyhive.ai/introduction/quickstart.md) > > Instrument your first application and capture traces in 5 minutes. > [card] [Run Your First Evaluation](https://docs.honeyhive.ai/evaluation/quickstart.md) > > Set up experiments and evaluate your AI agents programmatically. ## Additional Resources > [card] [API Reference](https://docs.honeyhive.ai/api-reference/session/start-a-new-session.md) > > Complete REST API documentation for custom integrations. > [card] [SDK Documentation](https://docs.honeyhive.ai/sdk-reference/authentication.md) > > Python and TypeScript SDK guides for advanced use cases. > [card] [Invite Your Team](https://docs.honeyhive.ai/workspace/inviting-teammates.md) > > Add teammates and configure role-based access control. > [card] [Integrations](https://docs.honeyhive.ai/integrations/langchain.md) > > Connect with OpenAI, Anthropic, LangChain, and more. ## Related topics - [SDK Overview](https://docs.honeyhive.ai/v2/sdk-reference/overview.md) - [HoneyHive Tracing Concepts](https://docs.honeyhive.ai/v2/tracing/concepts.md) - [How to migrate from Langfuse to HoneyHive](https://docs.honeyhive.ai/v2/tracing/migrate-from-langfuse.md) This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.