Dynatrace integrates with a broad range of AI and ML technologies: agent frameworks, model providers, coding agents, vector stores, orchestration libraries, compute platforms, and AI gateways.
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Monitor and trace your Amazon Bedrock AgentCore Agents.
Monitor and trace agent traffic through the Amazon Bedrock AgentCore Gateway.

Monitor and trace your AWS Strands Agents.
Send Claude API and Claude SDK traces to Dynatrace.
Monitor your Google Agent Development Kit.
Monitor and trace your LangChain Agents.
Monitoring and tracing of agents communicating via MCP.
Send agent traces and metrics to Dynatrace.

Trace OGX agents and model calls with OneAgent or OpenTelemetry.

Monitor and trace your OpenAI Agents.

Monitor and trace your Pydantic AI Agents.

Observe end-to-end generative AI models provided by Amazon Bedrock.
Monitor and trace Amazon Nova models running on Amazon Bedrock.
Build, train, and deploy machine learning (ML) models quickly.
Makes it easy to add document text detection and analysis to your applications.
Text translation service using machine learning to provide high-quality translation on demand.
Monitor end-to-end your Anthropic services such as Haiku, Sonnet, and Opus.
End-to-end observability for GenAI & LLM applications built with Azure.
Observe end-to-end generative and retrieval models provided by Cohere.
Monitor CrewAI workloads and AI Agents.

End-to-end observability for DeepSeek models on Amazon Bedrock like R1, V3.

Observe end-to-end multimodal AI models provided by Google Gemini.
Monitor your services built with Groq AI inference models.
Observe and monitor AI models, datasets, and apps built with Hugging Face.
End-to-end monitoring for applications built with the IBM watsonx AI platform.
Monitor your applications built with Mistral AI's frontier models.

Monitor Nutanix AI agentic and LLM workloads across infrastructure and models.

Monitor accelerated inference microservices to run AI models on NVIDIA GPU.
Monitor Ollama AI models end-to-end, including Llama, Mistral, Orca, and more.

Monitor your OpenAI & Azure OpenAI services such as GPT, o1, DALL-E, ChatGPT.

Monitor and observe end-to-end your app powered by Red Hat OpenShift AI platform.
Monitor and measure the API performance of your apps built with Replicate.
End-to-end observability of your GenAI stack built with Together AI.

Monitor your generative AI applications built with Google Vertex AI Studio.

Monitor Antigravity CLI activity and developer workflows.

Observe Claude Code sessions, tool use, and coding-agent activity.

Monitor Cursor usage, tokens, cost, and errors with a ready-made dashboard.

Monitor GitHub Copilot usage via the SDK.

Monitor Kiro credit usage, messages, and user adoption.

Observe OpenAI Codex usage and code-generation activity.

Monitor activity from the OpenClaw coding agent.

Observe activity from the OpenCode coding agent.

Monitor VS Code Copilot Chat agents, tokens, and cost with native OpenTelemetry.
Monitor the Chroma open-source vector database.

Monitor Elasticsearch Clusters, Nodes, Indexes, remotely or locally, via API.
Observe queries against the LanceDB embedded vector store.
Gain insights into your embedding models built with Marqo.

Observe Milvus, a high-performance vector database for production AI workloads.
Monitor performance and usage of the Pinecone managed vector database.

Observe Qdrant, a high-performance vector search engine.

Monitor Weaviate, an open-source vector database with built-in semantic search.
Open-source framework for building production-ready LLM applications.
Framework for building applications with large language models.
Data framework for building RAG and agentic LLM applications.
Build agentic workflows based on reliable, real-time production insights.

Monitor Google Cloud TPUs used to accelerate AI workloads.

Monitor NVIDIA GPU utilization across your AI infrastructure.

Observe TensorFlow Keras model training and serving.
Observe vLLM, a high-throughput inference engine for large language models.