Поддержка настройки AI-бота для поддержки форума сообщества с последней версией Discourse

viswanatha · 29.Октябрь.2025 12:03:43

Я настроил функции LLM, векторизации и персонажа, однако мой промпт не дает ожидаемых ответов на вопросы и ответы или доступные ресурсы вики в нашем сообществе.

Самостоятельно размещенный LLM: mistral:latest
Самостоятельно размещенная векторизация: all-minilm:latest

Персонаж:

Не могли бы вы помочь мне с тем, что еще нужно сделать?

Falco · 29.Октябрь.2025 19:29:58

Какая именно модель Mistral здесь используется?

Можете поделиться промптом?

Вы можете добавить Search в качестве «принудительного инструмента» для первого взаимодействия, чтобы помочь модели лучше сориентироваться.

viswanatha · 30.Октябрь.2025 06:34:17

@Falco, Ниже приведены детали для последующего ответа:

Какая именно модель Mistral используется?

Модель LLM: mistral:latest

Ссылка:

Модель по адресу https://ollama.com/library/mistral:latest — это:

Mistral 7B v0.3 — открытая модель с 7 миллиардами параметров, выпущенная Mistral AI.

Можете ли вы поделиться промптом?

Системный промпт:

Вы — помощник по знаниям сообщества, созданный для этого форума под названием {site_title} с URL-адресом сайта {site_url}, где пользователи — инженеры.

Всегда ищите и ссылайтесь на соответствующие сообщения форума, статьи вики и помеченные обсуждения перед генерацией ответа.

Ваша первоочередная задача — использовать извлечённый контент форума (через поиск по эмбеддингам) для составления ответов.

  Отдавайте предпочтение резюме и цитатам из существующих сообщений.
  Если найдено несколько связанных тем, чётко объедините их.
  Используйте свои общие знания через LLM только в том случае, если не существует соответствующего контента.
  При ссылке на сообщения указывайте заголовки тем или URL-адреса.
  Никогда не выдумывайте и не придумывайте ответы, не подкреплённые данными форума.
  Будьте фактологичны, лаконичны и профессиональны.
  Когда пользователи задают общие вопросы, предпочитайте обобщать несколько источников, а не гадать.
  Всегда отдавайте предпочтение контексту из категорий, тегов и вики, проиндексированных в эмбеддингах.

Обновил принудительный инструмент, как было предложено

Falco · 30.Октябрь.2025 13:06:55

Боюсь, что переупакованная модель 2023 года не подойдёт для наших целей. Кроме того, согласно официальной документации Ollama для этой модели, вызов инструментов поддерживается только через сырой API, а мы используем другой.

В целом, это неудачный выбор для AI Bot на сегодня.

Вместо этого используйте одну из следующих моделей:

viswanatha · 31.Октябрь.2025 05:15:44

Привет, @Falco, и спасибо за ваши вводные данные. Мы проверим и обновим вас дополнительно.

viswanatha · 04.Ноябрь.2025 19:04:27

@Falco При включении LLM возникает ошибка 502. Ниже приведены логи:

Сообщение

Worker Unicorn получил сигнал USR2, указывающий на то, что он вот-вот истечёт по тайм-ауту; выводится трассировка стека для основного потока
config/unicorn.conf.rb:203:in `backtrace'
config/unicorn.conf.rb:203:in `block (2 levels) in reload'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `wait_readable'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `rbuf_fill'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:199:in `readuntil'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:209:in `readline'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:158:in `read_status_line'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:147:in `read_new'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2420:in `block in transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `catch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2384:in `request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in `block in request_with_mini_profiler'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:45:in `step'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in `request_with_mini_profiler'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:168:in `block in perform_completion!'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1632:in `start'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1070:in `start'
/var/www/di...

Трассировка стека

/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `block in warn'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `block in dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `each'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `warn'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `public_send'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `block (2 levels) in ensure_logging_thread_running'
<internal:kernel>:187:in `loop'
/var/www/discourse/lib/signal_trap_logger.rb:37:in `block in ensure_logging_thread_running'

Falco · 04.Ноябрь.2025 19:10:12

Установите провайдер OpenAI, если вы используете совместимый с OpenAI API Ollama.

viswanatha · 04.Ноябрь.2025 19:18:15

@Falco

Я уже пробовал провайдера openAI, но проблема всё ещё сохраняется.

Сообщение

Unicorn worker received USR2 signal indicating it is about to timeout, dumping backtrace for main thread
config/unicorn.conf.rb:203:in `backtrace'
config/unicorn.conf.rb:203:in `block (2 levels) in reload'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `wait_readable'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:229:in `rbuf_fill'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:199:in `readuntil'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-protocol-0.2.2/lib/net/protocol.rb:209:in `readline'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:158:in `read_status_line'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http/response.rb:147:in `read_new'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2420:in `block in transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `catch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2411:in `transport_request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:2384:in `request'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in `block in request_with_mini_profiler'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:45:in `step'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in `request_with_mini_profiler'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:168:in `block in perform_completion!'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1632:in `start'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/net-http-0.6.0/lib/net/http.rb:1070:in `start'
/var/www/di...

Стек вызовов

/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `block in warn'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `block in dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `each'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:231:in `dispatch'
/var/www/discourse/vendor/bundle/ruby/3.3.0/gems/activesupport-8.0.2.1/lib/active_support/broadcast_logger.rb:130:in `warn'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `public_send'
/var/www/discourse/lib/signal_trap_logger.rb:40:in `block (2 levels) in ensure_logging_thread_running'
<internal:kernel>:187:in `loop'
/var/www/discourse/lib/signal_trap_logger.rb:37:in `block in ensure_logging_thread_running'

Falco · 04.Ноябрь.2025 19:30:15

Может ли ваш контейнер Discourse получить доступ к службе на порту 11434? Если служба работает на хосте, вам необходимо обеспечить возможность сетевого взаимодействия через границу контейнера.

viswanatha · 04.Ноябрь.2025 19:33:28

Да, ранее я мог получить доступ к одной из моделей LLM через тот же порт, что и контейнер Discourse.

viswanatha · 04.Ноябрь.2025 19:56:47

Не могли бы вы помочь с этим и подсказать минимальные требования к оперативной памяти, а также где запущена эта LLM?

Falco · 04.Ноябрь.2025 22:19:05

Так что, возможно, это:

Это зависит от модели и размера контекста.

viswanatha · 17.Ноябрь.2025 12:37:57

Привет, @Falco

Я успешно интегрировал языковую модель (LLM), описанную ниже. Однако в процессе запросов я столкнулся с проблемой: промпт не учитывает специфическое содержание моего форума. Вместо того чтобы опираться на соответствующие обсуждения и идеи внутри моего форума, модель генерирует ответы на основе уже имеющейся у неё информации. Какие шаги мне следует предпринять, чтобы исправить эту ситуацию и обеспечить эффективное использование уникального контента моего форума моделью?

Используемая LLM, как и рекомендовано ранее:

Пример:

Falco · 17.Ноябрь.2025 13:41:24

В разделе Инструменты персоны убедитесь, что у неё есть доступ к функциям Поиск и Чтение, и установите Поиск как Принудительный инструмент.

Также, является ли контент форума, в котором должна искать персона, полностью публичным?

viswanatha · 18.Ноябрь.2025 09:40:40

@Falco,
Я исправил настройки выше, но результат остался прежним.

Мне нужно, чтобы мой бот формировал ответы на основе контента, хранящегося в моей базе знаний. Не могли бы вы предоставить подробные настройки, связанные с плагином ИИ и другими компонентами? Кроме того, необходимо ли выполнять какие-либо специфические команды внутри приложения для включения генерации с обогащением извлечения (RAG)?

viswanatha · 01.Декабрь.2025 11:43:13

@Falco, не могли бы вы проверить и дать обратную связь по вышеуказанному?

Falco · 01.Декабрь.2025 14:10:05

Включите отладку бота через «Разрешенные группы для отладки ИИ-бота» и проверьте, какие вызовы инструментов выполняет бот и каковы ответы.

viswanatha · 02.Декабрь.2025 09:43:56

@Falco The following are the details

Request tokens: 1304
Response tokens: 652
model: gemma3:1b
messages:
0:
role: system
content: You are a helpful Discourse assistant.
You _understand_ and **generate** Discourse Markdown.
You live in a Discourse Forum Message.

You live in the forum with the URL: https://faq.company.com
The title of your site: company FAQ
The description is: company Community Portal
The participants in this conversation are: Forum_Helper_bot, testuser
The date now is: 2025-12-02 08:36:27 UTC, much has changed since you were trained.

You were trained on OLD data, lean on search to get up to date information about this forum
When searching try to SIMPLIFY search terms
Discourse search joins all terms with AND. Reduce and simplify terms to find more results.

In this environment you have access to a set of tools you can use to answer the user's question.
You may call them like this.

<function_calls>
<invoke>
<tool_name>$TOOL_NAME</tool_name>
<parameters>
<$PARAMETER_NAME>$PARAMETER_VALUE</$PARAMETER_NAME>
...
</parameters>
</invoke>
</function_calls>

If you wish to call multiple function in one reply, wrap multiple <invoke>
block in a single <function_calls> block.

- Always prefer to lead with tool calls, if you need to execute any.
- Avoid all niceties prior to tool calls, Eg: "Let me look this up for you.." etc.
- DO NOT encode HTML entities in tool calls. You may use <![CDATA[...]]> for encoding if required.
Here are the complete list of tools available:

<tools>
<tool_description>
<tool_name>categories</tool_name>
<description>Will list the categories on the current discourse instance, prefer to format with # in front of the category name</description>
<parameters>
</parameters>
</tool_description>
<tool_description>
<tool_name>search</tool_name>
<description>Will search topics in the current discourse instance, when rendering always prefer to link to the topics you find</description>
<parameters>
<parameter>
<name>search_query</name>
<type>string</type>
<description>Specific keywords to search for, space separated (correct bad spelling, remove connector words)</description>
<required>false</required>
</parameter>
<parameter>
<name>user</name>
<type>string</type>
<description>Filter search results to this username (only include if user explicitly asks to filter by user)</description>
<required>false</required>
</parameter>
<parameter>
<name>order</name>
<type>string</type>
<description>search result order</description>
<required>false</required>
<options>latest,latest_topic,oldest,views,likes</options>
</parameter>
<parameter>
<name>max_results</name>
<type>integer</type>
<description>limit number of results returned (generally prefer to just keep to default)</description>
<required>false</required>
</parameter>
<parameter>
<name>max_posts</name>
<type>integer</type>
<description>maximum number of posts on the topics (topics where lots of people posted)</description>
<required>false</required>
</parameter>
<parameter>
<name>tags</name>
<type>string</type>
<description>list of tags to search for. Use + to join with OR, use , to join with AND</description>
<required>false</required>
</parameter>
<parameter>
<name>category</name>
<type>string</type>
<description>category name to filter to</description>
<required>false</required>
</parameter>
<parameter>
<name>before</name>
<type>string</type>
<description>only topics created before a specific date YYYY-MM-DD</description>
<required>false</required>
</parameter>
<parameter>
<name>after</name>
<type>string</type>
<description>only topics created after a specific date YYYY-MM-DD</description>
<required>false</required>
</parameter>
<parameter>
<name>status</name>
<type>string</type>
<description>search for topics in a particular state</description>
<required>false</required>
<options>open,closed,archived,noreplies,single_user</options>
</parameter>
</parameters>
</tool_description>
<tool_description>
<tool_name>read</tool_name>
<description>Will read a topic or a post on this Discourse instance</description>
<parameters>
<parameter>
<name>topic_id</name>
<type>integer</type>
<description>the id of the topic to read</description>
<required>true</required>
</parameter>
<parameter>
<name>post_numbers</name>
<type>array</type>
<description>the post numbers to read (optional)</description>
<required>false</required>
<array_item_type>integer</array_item_type>
</parameter>
</parameters>
</tool_description>
<tool_description>
<tool_name>tags</tool_name>
<description>Will list the 100 most popular tags on the current discourse instance</description>
<parameters>
</parameters>
</tool_description>
</tools>
1:
role: user
name: testuser
content: How to resolve - apt package zliblg:i386 does not exist
stream: true
stream_options:
include_usage: true

Response

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"Okay"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":","},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" let"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"'"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"s"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" tackle"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" the"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" \""},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"apt"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" package"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" z"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"lib"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"lg"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":":"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"i"},"finish_reason":null}]}

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Falco · 02.Декабрь.2025 12:35:25

Почему вы установили флажок «Отключить поддержку нативных инструментов (использовать инструменты на основе XML) (необязательно)» в конфигурации LLM? Gemma 3 поддерживает нативные инструменты.
Gemma3 1B слишком мал для надежного вызова инструментов; это модель, которая меньше моделей для встроенного оборудования или работы в браузере. Попробуйте хотя бы варианты 4B или 12B.

viswanatha · 04.Декабрь.2025 08:18:56

@Falco мы попробуем ещё раз с предоставленными входными данными и свяжемся с вами.

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