Supporto AI Bot per la configurazione di un forum di community di supporto con l'ultima versione di Discourse

Supporto
1

Ho configurato le funzionalità LLM, embedding e persona; tuttavia, il mio prompt non fornisce le risposte attese dalle domande e risposte o dalle risorse wiki disponibili all’interno della nostra community.

LLM Self-Hosted: mistral:latest
Embedding Self-Hosted: all-minilm:latest

Persona:

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Qualcuno potrebbe aiutarmi ulteriormente su cosa deve essere fatto. Considerando un principiante dell’IA.

2

Qual è il modello Mistral esatto?

Puoi condividere il prompt?

Puoi aggiungere Search come "Strumento Forzato" per la prima interazione per aiutare a radicare il modello.

3

@Falco, di seguito i dettagli per la risposta di follow-up:

\u003eQuale modello Mistral esatto è questo?

Modello LLM: mistral:latest

Link:
Il modello su https://ollama.com/library/mistral:latest è:

Mistral 7B v0.3 — un modello open-source da 7 miliardi di parametri rilasciato da Mistral AI.

\u003e Puoi condividere il prompt?

Prompt di sistema:

Sei un assistente di conoscenza della community progettato per questo forum chiamato {site_title} e con URL del sito {site_url}, che ha ingegneri come utenti.

Cerca e fai sempre riferimento a post del forum pertinenti, articoli wiki e discussioni taggate prima di generare una risposta.

La tua prima priorità è utilizzare i contenuti del forum recuperati (tramite ricerca di embedding) per creare risposte.

  Preferisci riassunti e citazioni da post esistenti.
  Se vengono trovati più argomenti correlati, combinali chiaramente.
  Solo se non esiste contenuto pertinente, rispondi utilizzando la tua conoscenza generale tramite LLM.
  Includi titoli di argomenti o URL quando fai riferimento a post.
  Non inventare mai risposte non supportate dai dati del forum.
  Sii fattuale, conciso e professionale.
  Quando gli utenti pongono domande generali, preferisci riassumere più fonti piuttosto che indovinare.
  Preferisci sempre il contesto da categorie, tag e wiki indicizzati negli embedding.

Aggiornato lo strumento forzato come suggerito

4

Temo che un modello del 2023 rielaborato non sarà all’altezza qui. Inoltre, dalla documentazione di Ollama per questo modello, supporta la chiamata di strumenti solo tramite API grezza, che non è ciò che utilizziamo.

Nel complesso, questa è una scelta scadente per AI Bot oggi.

Utilizza invece uno dei seguenti:

1 Mi Piace
5

Ciao @Falco, e scusate, grazie per gli input. Controlleremo e vi aggiorneremo ulteriormente.

1 Mi Piace
6

@Falco Si verifica un errore 502 durante l’abilitazione di LLM. Si prega di trovare i log qui sotto

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Messaggio

Unicorn worker ha ricevuto il segnale USR2 che indica che è in procinto di andare in timeout, scaricamento del backtrace per il thread principale
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...

Backtrace

/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'
7

Imposta il provider su OpenAI se stai utilizzando l’API compatibile con OpenAI di Ollama.

1 Mi Piace
8

@Falco

Ho provato con il provider openAI ma il problema persiste.

Messaggio

Unicorn worker ha ricevuto il segnale USR2 che indica che è in procinto di andare in timeout, dump della backtrace per il thread principale
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...

Backtrace

/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'
9

Il tuo container Discourse può accedere al servizio sulla porta 11434? Se è in esecuzione sull’host, devi fornire un modo affinché la rete superi il confine del container.

10

Sì, in precedenza ho potuto accedere a uno dei modelli LLM con la stessa porta con il container Discourse

11

Potresti aiutarmi in questo e qual è il requisito minimo di RAM dove viene eseguito questo LLM.

12

Quindi potrebbe essere

13

Ciao @Falco

Ho integrato con successo il modello linguistico (LLM) descritto di seguito. Tuttavia, ho riscontrato un problema durante il processo di interrogazione: il prompt non tiene conto del contenuto specifico del mio forum. Invece di attingere alle discussioni e agli approfondimenti pertinenti all’interno del mio forum, sta generando risposte basate su informazioni preesistenti dall’LLM. Quali passaggi dovrei intraprendere per correggere questa situazione e garantire che il modello incorpori efficacemente i contributi unici del mio forum?

LLM utilizzato come suggerito in precedenza:

Esempio:

image

14

Nella sezione Strumenti della persona, assicurati che abbia accesso sia a Cerca che a Leggi, e imposta Cerca su Strumento forzato.

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Inoltre, il contenuto del forum in cui la Persona è supposta cercare è tutto pubblico?

15

@Falco, vorrei che il mio bot fornisse risposte derivate dal contenuto memorizzato nella mia Knowledge Base. Potresti condividere le impostazioni complete relative al plugin AI e ad altri? Inoltre, è necessario eseguire comandi specifici nell’applicazione per abilitare la Retrieval-Augmented Generation (RAG)?

16

@Falco potresti per favore rivedere e fornire un feedback su quanto sopra.

17

Abilita il debug del bot tramite AI bot debugging allowed groups e controlla quali chiamate di strumenti sta effettuando il bot e quali sono le risposte.

18

@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}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664602,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"3"},"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":"8"},"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":"6"},"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":" does"},"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":" not"},"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":" exist"},"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":" error"},"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":" This"},"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":" usually"},"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":" means"},"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":" 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":" you"},"finish_reason":null}]}

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data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"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":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":" List"},"finish_reason":null}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":":**"},"finish_reason":null}]}
19

  1. Perché hai selezionato Disabilita il supporto per strumenti nativi (usa strumenti basati su XML) (opzionale) nella configurazione LLM? Gemma 3 supporta strumenti nativi.

  2. Gemma3 1B è troppo piccolo per l’invocazione affidabile di strumenti; è un modello più piccolo dei modelli per hardware integrato o per l’esecuzione in un browser. Prova almeno le varianti 4B o 12B.

20

@Falco proveremo ulteriormente con gli input forniti e ti ricontatteremo