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AgentBench vs TruLens

Both stand on llm evaluation tools. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

AgentBench

Free plan APILinuxSelf-hosted

AgentBench provides a broad, extensible framework for testing language-model agents, with a newer function-calling version and containerized tasks. Resource demands and documented environment issues should be considered before deployment.

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TruLens

Free plan Open source APISelf-hosted

TruLens offers tracing, evaluation, and version comparison for AI applications, with customizable metrics and self-hosted storage options. Teams relying on Snowflake connector conversation features should note the stated exclusions.

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The facts

AgentBenchTruLens
Free planYesYes
Open sourceNot publishedYes
Runs onAPI, Linux, Self-hostedAPI, Self-hosted
Lowest paid planNot publishedFree or on request
Plans publishedNone2
MakerNot publishedNot published
Websitegithub.comtrulens.org
On llm evaluation tools#9 of 29#5 of 29

AgentBench: what it does well

  • Covers eight original environment types
  • Current FC version supports five tasks
  • One-command Docker Compose setup documented
  • Supports local and API-only models
  • Apache-2.0 licensed and free

What to know first

  • Webshop needs about 16 GB of RAM
  • Alfworld can leak memory and disk space
  • KnowledgeGraph relies on an unstable online service
  • Original quick start requires Docker

TruLens: what it does well

  • Records step-level latency, inputs, outputs, tokens, and cost.
  • Supports real-time and batch evaluations.
  • Users can define custom metrics and judge prompts.
  • Free, open-source Python SDK.

What to know first

  • Snowflake connector lacks conversation grouping.
  • Conversation-level metrics are unavailable with the Snowflake connector.
  • Snowflake connector lacks retrieval APIs and dashboard views.

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