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llamaIndex - 💡(How to fix) Fix [Feature Request]: Add Octen Search Tool to LlamaHub Agent Tools [1 participants]

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run-llama/llama_index#21244•Fetched 2026-04-08 02:22:34
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Feature Description

We've published llama-index-tools-octen (v0.1.0) to PyPI as a standalone LlamaIndex Agent Tool integration for Octen's real-time web search API.

PyPI: https://pypi.org/project/llama-index-tools-octen/

Octen provides real-time web search infrastructure built for AI agents:

  • 62ms P50 latency
  • 1M+ QPS capacity
  • 5-minute content freshness
  • #1 on RTEB benchmark

The package follows LlamaIndex's standard Tool interface and is ready for listing under Agent Tools on LlamaHub.

Reason

There is currently no Octen integration listed on LlamaHub. Developers building agents that require real-time, low-latency web search have no direct path to discover this integration. Listing on LlamaHub would make it discoverable to the LlamaIndex community.

Value of Feature

Developers building AI agents with LlamaIndex currently have limited options for real-time web search: Tavily, Exa, and Brave Search. Octen offers a differentiated option with the lowest documented latency (62ms P50) and highest throughput (1M+ QPS) among web search APIs — relevant for production-scale agent deployments where search speed is a bottleneck.

The package is already live on PyPI (llama-index-tools-octen v0.1.0), fully compatible with LlamaIndex's Tool interface, and ready to use. Adding it to LlamaHub gives the community visibility into a search option optimized for agent workloads at scale.

extent analysis

TL;DR

The llama-index-tools-octen package should be listed under Agent Tools on LlamaHub to make it discoverable to the LlamaIndex community.

Guidance

  • Review the LlamaHub listing process to ensure llama-index-tools-octen meets all requirements.
  • Verify that the package is correctly implemented according to LlamaIndex's standard Tool interface.
  • Check the PyPI package page for llama-index-tools-octen to confirm its version and compatibility.
  • Submit a request to list llama-index-tools-octen under Agent Tools on LlamaHub, highlighting its unique features and benefits.

Notes

The solution relies on the package being correctly implemented and compatible with LlamaIndex's Tool interface, as well as meeting LlamaHub's listing requirements.

Recommendation

Apply workaround: List the package on LlamaHub manually or through a submission process, as it is already available on PyPI and compatible with LlamaIndex.

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#api#tool integration#API routing#API middleware#SSR setup

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