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agent

This platform provides extensive monitoring and attribution of digital agent activities, enabling organizations to track session data, model calls, tool interactions, and associated costs within their infrastructure. It offers features such as telemetry collection, session-to-work attribution, detailed activity inspection, and workflow optimization insights, helping teams identify performance bottlenecks, tool failures, and cost drivers. Designed for developers, technical teams, and operational managers, it addresses challenges related to managing AI-assistant workflows, improving efficiency, controlling costs, and ensuring data privacy within enterprise AI implementations.

agentは次の場所にあります Application Monitoring & Observability カテゴリー。

agent に最も類似した製品は次のとおりです。

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agent 主な特徴

Improve workflows
Use the information to make your agent work better by fixing issues and reducing errors.
See work in context
You can check how inference costs relate to the work your team does.
Track agent activity
It shows how much your agent spends and what they do during work.
View session details
See the work done during a session, including model calls, token usage, and timing.
Data stays on your system
Sensitive data like prompts and responses stay on your infrastructure for security.
Analyze session and activity data
Review detailed information about each session, including costs and events.
Connect sessions to pull requests
Link sessions to code changes to understand the work behind each pull request.
Inspect model calls and tool errors
You can see when models or tools fail or are slow to help improve your work.
Identify tool failures and slow requests
Find out which tools failed or were slow so you can fix them.

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