How much does AgentOps cost?

AgentOps uses a freemium model. The free tier includes up to 5,000 events per month. Pro plans start at approximately $40 per month with unlimited events. Enterprise pricing is custom and includes on-prem options and compliance features.

Which frameworks and LLMs are supported?

A single Python SDK covers over 400 LLMs and frameworks. It is specifically designed for teams using CrewAI, AutoGen, and LangChain. Most integrations require only a couple of lines of code to implement.

Is AgentOps suitable for simple single-shot LLM calls?

No, it is not recommended for single-shot calls. Generic LLM loggers or existing APM tools are better suited for that use case with less overhead. AgentOps is built for multi-step or multi-agent systems.

What compliance features are available?

Enterprise plans support SOC-2, HIPAA, and NIST AI RMF compliance. They also include SSO and on-premises deployment options. Standard features include audit trails and token counting for all tiers.

AgentOps

✓ Editorially verified

Observability and debugging platform purpose-built for AI agents, with time-travel replay and cost tracking across 400+ LLMs.

Freemium· Free up to 5,000 events; Pro from $40/mo; Enterprise customAgentsMulti-model8.2 / 10

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In short

AgentOps provides observability, time-travel replay, and cost tracking for multi-agent systems on CrewAI, AutoGen, and LangChain, supporting 400+ LLMs.

Best for

Pick AgentOps if you are shipping multi-step or multi-agent systems on CrewAI/AutoGen/LangChain and need proper traces, replays, and cost visibility.

Skip if

Skip it if you only make single-shot LLM calls - a generic LLM logger or your existing APM will do the job with less overhead.

AgentOps is a developer platform for instrumenting, monitoring, and debugging AI agents in both development and production. It captures LLM calls, tool invocations, and multi-agent interactions as structured events, then surfaces them through a visual timeline with point-in-time replay so you can walk backward through a failed run and see exactly what the agent saw. Token counting, cost tracking, and audit trails come standard, and completions can be exported for fine-tuning.

The pitch is for teams shipping agents on frameworks like CrewAI, AutoGen, and LangChain who have outgrown print-debugging and generic APM. A single Python SDK covers 400+ LLMs and frameworks, so most integrations are a couple of lines. Pricing is genuinely freemium: 5,000 events per month at the free tier, Pro from about $40/month with unlimited events, and Enterprise for on-prem, SSO, and SOC-2/HIPAA/NIST AI RMF compliance. The core SDK is open source with an active GitHub community.

Compared to general LLM tracing tools, AgentOps is opinionated about the agent shape - multi-step reasoning, tool calls, sub-agent handoffs - rather than treating each prompt as an isolated span. That focus is the reason to choose it, and also the reason it may feel overkill if you're just logging single-shot chat completions.

Editor's take

AgentOps is the most agent-native observability tool we've tested, and the time-travel replay alone justifies wiring it in once your agent has more than two tool calls. The free tier is generous enough to prove value before you commit, and the open-source SDK reduces lock-in worry.

— The AI Tool Bible editorial team

Pros

✅ Purpose-built for multi-agent traces, not just single LLM calls
✅ Time-travel replay makes non-deterministic bugs reproducible
✅ Native SDK support for CrewAI, AutoGen, LangChain, and 400+ LLMs
✅ Genuine free tier plus open-source SDK
✅ Enterprise path with SOC-2, HIPAA, and on-prem deployment

Cons

⚠️ Overkill for simple single-prompt chatbot logging
⚠️ Pro tier events can add up fast for chatty agents
⚠️ Dashboard UX still evolving compared to mature APM tools

Use cases

agent-observabilityllm-tracingcost-trackingdebuggingfine-tuning-datacompliance-auditing

Frequently asked

How much does AgentOps cost?: AgentOps uses a freemium model. The free tier includes up to 5,000 events per month. Pro plans start at approximately $40 per month with unlimited events. Enterprise pricing is custom and includes on-prem options and compliance features.
Which frameworks and LLMs are supported?: A single Python SDK covers over 400 LLMs and frameworks. It is specifically designed for teams using CrewAI, AutoGen, and LangChain. Most integrations require only a couple of lines of code to implement.
Is AgentOps suitable for simple single-shot LLM calls?: No, it is not recommended for single-shot calls. Generic LLM loggers or existing APM tools are better suited for that use case with less overhead. AgentOps is built for multi-step or multi-agent systems.
What compliance features are available?: Enterprise plans support SOC-2, HIPAA, and NIST AI RMF compliance. They also include SSO and on-premises deployment options. Standard features include audit trails and token counting for all tiers.
Can I export data for fine-tuning?: Yes, completions can be exported for fine-tuning purposes. The platform captures LLM calls, tool invocations, and multi-agent interactions as structured events, which can be utilized for this data export.