[feat] plugin: AI Summary

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Adds a plugin that shows an AI generated summary above the search
results, produced by an LLM server the administrator runs and reaches
over the OpenAI chat completions API.
This commit is contained in:
jasonwitty
2026-08-15 17:47:58 -07:00
parent 094c33d406
commit 8d9bd59e19
43 changed files with 1951 additions and 54 deletions
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.. _ai_summary plugin:
==========
AI Summary
==========
.. sidebar:: Further reading ..
- :ref:`Configuration <settings ai_summary>`
- :ref:`dev plugin`
- :ref:`result types`
The AI Summary plugin shows a generated answer above the ordinary search
results. The text comes from an LLM server run by the administrator, which
speaks the `OpenAI chat completions API`_ -- `Ollama`_, Hugging Face TGI,
LiteLLM, vLLM, llama.cpp and anything else implementing that specification.
See :ref:`its configuration <settings ai_summary>` for how to set one up.
The summary is generated asynchronously: the result page is delivered without
delay and carries an empty placeholder, which the browser fills from a second,
streaming request.
Request flow
============
.. _ai_summary dataflow:
.. kernel-render:: DOT
:alt: Data flow between browser, SearXNG and the LLM server
:caption: A search that produces a summary: two requests, not one
digraph ai_summary {
rankdir=LR;
graph [fontname="sans-serif", ranksep=1.1, nodesep=0.4];
node [fontname="sans-serif", fontsize=11, shape=box, style="rounded,filled",
fillcolor="#f4f4f4", color="#999999"];
edge [fontname="sans-serif", fontsize=9, color="#666666"];
browser [label="browser"];
searxng [label="SearXNG"];
engines [label="search engines", fillcolor="#ffffff"];
llm [label="LLM server\nOllama, vLLM, ...", fillcolor="#ffffff"];
browser -> searxng [label=" 1 GET /search"];
searxng -> engines [label=" 2 query"];
searxng -> browser [label=" 3 result page,\l empty summary box\l", constraint=false];
browser -> searxng [label=" 4 POST /ai_summary\l (query + results)\l"];
searxng -> llm [label=" 5 POST /v1/chat/completions"];
llm -> searxng [label=" 6 SSE token stream", constraint=false];
searxng -> browser [label=" 7 NDJSON token stream", constraint=false];
}
Steps 1 to 3 are an ordinary SearXNG search. :py:obj:`SXNGPlugin.post_search
<searx.plugins.ai_summary.SXNGPlugin.post_search>` adds an empty
:py:obj:`searx.result_types.AiSummary` placeholder to the answer area and
returns; the result page is not delayed.
Steps 4 to 7 run in the browser once the page is rendered.
``client/simple/src/js/plugin/AiSummary.ts`` posts to the ``/ai_summary``
endpoint (registered in :py:obj:`searx.webapp`), which opens a streaming
request to the LLM server and re-emits the tokens as they arrive.
The two streams use different formats. The LLM server sends `SSE`_ --
``data: {...}`` lines terminated by ``data: [DONE]``. SearXNG re-emits them to
the browser as `NDJSON`_: one JSON object per line, ``{"delta": "..."}`` for
each chunk of text and a final ``{"done": true}``.
When no summary is generated
============================
:py:obj:`SXNGPlugin.post_search
<searx.plugins.ai_summary.SXNGPlugin.post_search>` adds no placeholder for:
- page two and beyond
- categories other than *general*
- non-HTML output formats (the JSON, CSV and RSS APIs)
- queries an engine already answered with an infobox (wikipedia, wikidata) or
an instant answer (e.g. ddg definitions)
- an empty query, or no LLM server configured
API keys
========
The administrator's ``api_key`` is sent only to the configured ``base_url``.
Users who point the ``ai_summary_server`` preference at a server of their own
authenticate it with their own ``ai_summary_api_key`` preference, which is
stored in a cookie and excluded from the preferences URL; the administrator's
key is never sent to such a server. A server URL carrying credentials in its
userinfo is ignored, and the administrator's default is used instead.
:py:obj:`_server_api_key <searx.plugins.ai_summary._server_api_key>` implements
the rule.
Reference
=========
.. automodule:: searx.plugins.ai_summary
:members:
.. _Ollama: https://ollama.com/
.. _OpenAI chat completions API: https://platform.openai.com/docs/api-reference/chat
.. _SSE: https://developer.mozilla.org/en-US/docs/Web/API/Server-sent_events
.. _NDJSON: https://github.com/ndjson/ndjson-spec
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.. toctree::
:maxdepth: 1
ai_summary
calculator
hash_plugin
hostnames