Complete pricing guide for AgentOps. Compare all plans, analyze costs, and find the perfect tier for your needs.
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Pricing sourced from AgentOps · Last verified March 2026
Detailed feature comparison coming soon. Visit AgentOps's website for complete plan details.
View Full Features →Just two lines: import the AgentOps SDK and call the init function with your API key. The SDK automatically instruments supported frameworks.
AgentOps supports a wide range of frameworks including CrewAI, AutoGen, LangChain, OpenAI Agents SDK, Cohere, Mistral, LiteLLM, and AG2. Custom agents can be instrumented via the Python or TypeScript SDK.
Yes. The entire AgentOps platform is open source under the MIT license and can be self-hosted for teams that need full data control or air-gapped deployments.
AgentOps is framework-agnostic and open source, while LangSmith is tightly integrated with the LangChain ecosystem. AgentOps emphasizes agent-level observability with time travel debugging, whereas LangSmith focuses on LLM chain tracing and evaluation.
Time travel debugging lets you replay an agent session step by step, examining every LLM call, tool invocation, and decision point in sequence to diagnose exactly where and why a workflow succeeded or failed.
Yes, the free tier includes up to 5,000 events per month with core observability features. The Pro plan starts at $40/month for higher volumes, and Enterprise pricing is available by contacting sales.
AI builders and operators use AgentOps to streamline their workflow.
Try AgentOps Now →LangSmith is LangChain's commercial observability, evaluation and prompt management platform for LLM apps and agents in production.
Compare Pricing →Open-source LLM observability and AI gateway — logs every prompt, response, cost, and latency across 20+ providers with a one-line proxy or async SDK, plus caching, retries, and prompt experiments.
Compare Pricing →AI observability platform for evals, production tracing, prompt management, and regression detection.
Compare Pricing →End-to-end MLOps and AI developer platform — Models (experiment tracking, sweeps, model registry) plus Weave (LLM/agent observability and evals) — used by frontier labs and enterprise ML teams.
Compare Pricing →ML and LLM observability platform with production tracing, evals, drift detection, and the open-source Phoenix project for local LLM debugging.
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