AgentOps

Captures complete execution traces of agent runs and enables developers to rewind, replay, and inspect agent behavior at any point in time with 'point-in-time precision'. Works by instrumenting agent code via SDK to log all LLM calls, tool invocations, and state transitions into a queryable event stream, then reconstructs the execution timeline in a web UI for interactive debugging without re-running the agent.

Tracks and aggregates LLM API spending across 400+ language models in real-time by instrumenting LLM calls through the SDK and mapping token counts to current pricing models. Maintains up-to-date pricing data for models across OpenAI, Anthropic, Cohere, and other providers, enabling cost attribution per agent, per session, and per LLM call with breakdown by input/output tokens.

Provides a real-time web dashboard displaying live agent execution metrics (active sessions, LLM calls in progress, tool invocations, error rates) with automatic refresh and alert notifications. Integrates with Slack (Enterprise tier) for real-time notifications of agent failures, cost spikes, or security events, enabling rapid incident response.

Monitors all prompts sent to LLMs for indicators of injection attacks (e.g., prompt overrides, jailbreak attempts, adversarial inputs) by analyzing prompt content against known attack patterns and logging flagged prompts to an audit trail. Integrates with the session replay system to surface suspicious prompts in context of agent execution.

Instruments and visualizes interactions between multiple agents in a single execution session by tracking agent-to-agent calls, message passing, and state synchronization. Captures the dependency graph of agent invocations and renders it as a visual flow diagram in the session replay UI, enabling developers to understand multi-agent coordination and identify bottlenecks or communication failures.

Implements role-based access control (RBAC) for session data and monitoring dashboards, allowing teams to grant granular permissions (view, edit, delete) to team members based on roles. Integrates with SSO (Enterprise tier) and Slack Connect (Enterprise tier) for identity management and notifications, enabling secure multi-team access to agent observability data.

Provides compliance certifications (SOC-2, HIPAA, NIST AI RMF on Enterprise tier) and enables export of complete audit trails in compliance-friendly formats. Maintains immutable logs of all agent actions, LLM calls, and access events, with configurable data retention policies and encryption at rest/in transit to meet regulatory requirements.

Provides a language-agnostic SDK (Python 3.7+) that instruments agent code to capture telemetry without requiring framework-specific adapters. Works by wrapping LLM API calls, tool invocations, and agent state transitions at the SDK level, enabling integration with any agent framework (LangChain, AutoGen, custom implementations, etc.) through minimal code changes (typically 2-3 lines of instrumentation code).

Implements a tiered pricing model based on event volume (LLM calls, tool invocations, agent state transitions) with Free tier (5,000 events/month), Pro tier (unlimited events), and Enterprise tier (custom). Enforces quota limits on Free tier and provides usage dashboards showing event consumption, enabling developers to understand monitoring costs and optimize instrumentation.

Provides benchmarking tools to compare agent performance across multiple dimensions (latency, cost, success rate, token efficiency) by aggregating metrics from multiple sessions and runs. Enables A/B testing of agent configurations by comparing metrics across cohorts and identifying performance regressions or improvements with statistical significance testing.

Exports agent execution logs and metrics in structured formats (JSON, CSV) compatible with external analytics platforms (data warehouses, BI tools, custom analysis). Provides APIs for programmatic access to session data, enabling teams to build custom dashboards, perform advanced analytics, or integrate with existing data pipelines.