AgentOps
Trace, debug, and deploy reliable AI agents with full observability
AgentOps is a must-have for teams debugging multi-agent systems. Its replay analytics and prompt injection detection set it apart from generic observability tools. At $40/month for Pro, it's a fair deal for serious agent builders, though the free tier caps at 5,000 events. For teams using CrewAI or Autogen, it's the targeted solution. Alternatives like Langfuse or Helicone offer similar tracing but lack AgentOps' agent-specific replay and compliance features.
Verified 1h ago · liveness 76/100 · cite: rightaichoice.com/tools/agentops
- Teams building multi-agent systems with CrewAI or Autogen
- Developers needing real-time debugging and replay of agent runs
- Organizations tracking LLM costs across multiple agents and providers
- Enterprises requiring compliance (SOC-2, HIPAA) and on-prem deployment
- Simple single-agent chatbots with basic logging needs
- Teams already invested in generic APM tools without agent-specific needs
- Users looking for a free tier beyond 5,000 events (Pro starts at $40/month)
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Skip AgentOps if you're building simple single-agent chatbots that only need basic logging, or if you're already heavily invested in a generic APM tool and don't need agent-specific replay and debugging.
Exceeding 5,000 events on the free tier forces you to upgrade to Pro at $40/month, even if you only need a few more events
AgentOps fits teams actively building and debugging multi-agent systems who need specialized observability. At $40/month Pro, it's mid-priced compared to generic APM tools (Datadog starts higher) but offers agent-specific features. For hobbyists, the free tier is generous enough (5k events) to start, though heavier users may find Langfuse's free tier more generous.
In short
AgentOps — Trace, debug, and deploy reliable AI agents with full observability. Best for Teams building multi-agent systems with CrewAI or Autogen, Developers needing real-time debugging and replay of agent runs, Organizations tracking LLM costs across multiple agents and providers. Free to start; paid plans from $40/mo.
Viability Score
How well maintained and how widely used is AgentOps? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: July 2026
How we score →Key Features
- Visual trace of LLM calls, tools, and multi-agent interactions
- Time travel debugging with point-in-time replay
- Replay analytics to rewind and replay agent runs
- Prompt injection detection
- Full audit trail of logs, errors, and prompt injection attacks
- Cost tracking across multiple agents and 400+ LLMs
- Token count monitoring
- Fine-tuning on saved completions up to 25x cheaper
- Session and event export
- Role-based permissioning
- Dedicated Slack and email support (Pro+)
- Custom data retention policy (Enterprise)
- On-premise deployment (Enterprise)
- Self-hosting on AWS, GCP, Azure (Enterprise)
- SOC-2, HIPAA, NIST AI RMF compliance (Enterprise)
About AgentOps
AgentOps is a developer platform for building, debugging, and deploying reliable AI agents and LLM applications. It provides end-to-end observability with visual traces of LLM calls, tools, and multi-agent interactions. Key features include time travel debugging to rewind and replay agent runs with point-in-time precision, replay analytics for deep analysis, and prompt injection detection to surface security issues. The single SDK integrates with OpenAI, CrewAI, Autogen, and 400+ LLMs and frameworks, making it agent-agnostic. AgentOps offers token-level cost tracking across multiple agents, fine-tuning on saved completions up to 25x cheaper, and a full audit trail of logs, errors, and prompt injection attacks from prototype to production. Pricing starts free for up to 5,000 events, with a Pro tier at $40/month (unlimited events, log retention, export) and Enterprise custom plans (SLA, SSO, on-prem, SOC-2/HIPAA/NIST AI RMF). Compared to generic APM tools like Datadog or New Relic, AgentOps is specialized for agent workflows, offering replay analytics and agent-agnostic monitoring that general tools lack. If you're building multi-agent systems with CrewAI or Autogen, AgentOps is the targeted solution for debugging, cost tracking, and compliance.
Behind the Verdict
AgentOps stands out in the crowded LLM observability space by focusing specifically on agent workflows rather than simple LLM calls. The time travel debugging feature is genuinely unique—it lets you rewind and replay agent runs, which is invaluable when you're dealing with non-deterministic agents that fail intermittently. The ability to fine-tune on saved completions at 25x lower cost is a compelling differentiator that ties observability directly into cost optimization. For teams using CrewAI or Autogen, the native integrations reduce setup friction significantly. Weaknesses: The free tier is quite limited at 5,000 events/month, which might not last long for active development. Pro is priced at $40/month but pay-as-you-go can scale with event volume, so heavy users may see higher bills. Enterprise features like SSO and on-prem deployment require a custom contract, which might be overkill for small teams but necessary for large enterprises. Where it fits best: Teams building multi-agent systems with frameworks like CrewAI or Autogen, where debugging interactions is critical. Also for organizations that need compliance (SOC-2, HIPAA) and want to self-host. Where it doesn't fit: Simple single-agent chatbots that only need basic logging—you can get away with something simpler and cheaper. Also, if you're already heavily invested in a general APM tool and don't need agent-specific replay, the switch may not be worth it. Overall, AgentOps is a purpose-built tool that fills a real gap. If your work involves complex agent orchestration, the time travel debugging alone justifies the cost.
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Real-world workflow fit
Concrete scenarios for the personas AgentOps actually fits — and what changes day-one when you adopt it.
Integrates AgentOps SDK, runs agent loop, and sees visual trace of each LLM call and tool usage; when an agent fails, uses time travel debugging to rewind and inspect the exact state at failure point.
Outcome: Identifies the root cause of the failure in minutes instead of hours, and replays the run after a fix to confirm the issue is resolved.
Deploys a multi-agent customer support system and needs to track costs and ensure agents don't leak sensitive data.
Outcome: Uses AgentOps cost tracking to see spend per agent and provider, and prompt injection detection to catch security issues before they become problems.
Needs to ensure agent interactions are auditable and meet SOC-2 requirements.
Outcome: Uses AgentOps Enterprise with custom data retention, SSO, and audit trail of logs to satisfy compliance audits without maintaining separate logging infrastructure.
Use Cases
- Monitor and debug multi-agent interactions in real-time
- Track token usage and costs across multiple agents and LLM calls
- Replay past agent runs to diagnose failures or unexpected behavior
- Audit agent actions for security and compliance requirements
- Fine-tune LLMs on saved agent completions to reduce costs
- Visualize agent workflows for team collaboration and debugging
- Set up alerts for critical agent failures and anomalies
- Export session data for deeper analysis in external tools
Models Under the Hood
as of 2026-08-01
Limitations
- The free Basic plan caps at 5,000 events per month, which may be limiting for heavy usage.
- Pro plan pricing is pay-as-you-go starting at $40/month, but costs can scale with event volume.
- Enterprise features like SSO and on-premise deployment require a custom contract.
- Additionally, certain advanced features such as fine-tuning and compliance are only available on higher tiers, and the free tier lacks export and role-based permissioning.
as of 2026-08-01
Verification history
We have re-verified AgentOps 14 times since . Each pass re-reads the vendor's own pages and updates only what actually changed.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 14 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published AgentOps tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Basic
$0/mo
Ideal for
Individual developers or small projects experimenting with agent observability and needing up to 5,000 events per month.
What this tier adds
Free entry point with basic features: agent-agnostic SDK, LLM cost tracking, and replay analytics.
Pro
$40/mo
Ideal for
Growing teams that need unlimited events, long-term log retention, and export capabilities for deeper analysis.
What this tier adds
Unlimited event limit and log retention, plus session export, dedicated support, and role-based permissioning.
Enterprise
Custom
Ideal for
Large organizations with compliance requirements, needing self-hosting, SSO, and custom data retention policies.
What this tier adds
Adds SLA, Slack Connect, custom SSO, on-premise deployment, self-hosting on major clouds, and SOC-2/HIPAA/NIST compliance.
Where the pricing makes sense
The company stage and team size where AgentOps's pricing actually pencils out — and where peers do it cheaper.
AgentOps fits teams actively building and debugging multi-agent systems who need specialized observability. At $40/month Pro, it's mid-priced compared to generic APM tools (Datadog starts higher) but offers agent-specific features. For hobbyists, the free tier is generous enough (5k events) to start, though heavier users may find Langfuse's free tier more generous.
Setup time & first value
How long it actually takes to get something useful out of AgentOps — broken out by persona, not the marketing-page minute.
Developers can install the SDK and start tracing within minutes—just `pip install agentops` and add a few lines of code to initialize. For full integration with frameworks like CrewAI or Autogen, expect under an hour to get real-time traces. Pro and Enterprise setups may take a few extra days for compliance and SSO configuration.
Switching to or from AgentOps
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Langfuse: Export your existing traces as JSON and import them into AgentOps via API; you'll need to re-instrument your code, but AgentOps SDK covers most frameworks.
- →From Helicone: Switch the base URL in your existing LLM calls to AgentOps endpoint; minimal code changes needed.
- →From spreadsheets: Manually replay key runs and import the logs; AgentOps provides session export to help you bring historical data.
- ↗To Langfuse: Export your AgentOps sessions and events to JSON format and import into Langfuse; re-instrument your code to use Langfuse's SDK.
- ↗To Datadog: Use AgentOps export to send event logs to Datadog via their API, then integrate with Datadog's APM for unified monitoring.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with AgentOps
Common stack mates teams adopt alongside AgentOps, with the specific reason each pairing earns its keep.
Alternatives to AgentOps
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