Discourseの最新バージョンでサポートコミュニティフォーラム用にAIボットを設定するサポート

サポート
1

LLM、埋め込み、ペルソナ機能は設定しましたが、質問と回答やコミュニティ内の利用可能なWikiリソースから期待される応答がプロンプトから得られていません。

セルフホストLLM: mistral:latest
セルフホスト埋め込み: all-minilm:latest

ペルソナ:

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image
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image618×793 24.6 KB

次に何をすべきか、どなたかさらに助けていただけますでしょうか。AI初心者であることを考慮してください。

2

これは正確にはどのMistralモデルですか？

プロンプトを共有していただけますか？

最初のやり取りでモデルを支援するために、「Search」を「Forced Tool」として追加できます。

3

@Falco、以下は返信の追跡に関する詳細です。

具体的にどのMistralモデルですか？

LLMモデル：mistral:latest

リンク:
https://ollama.com/library/mistral:latest のモデルは次のとおりです。

Mistral 7B v0.3 — Mistral AIがリリースした70億パラメータのオープンソースモデルです。

プロンプトを共有してもらえますか？

システムプロンプト：
あなたは、エンジニアをユーザーとする、このフォーラム{site_title}とサイトURL{site_url}のために設計されたコミュニティナレッジアシスタントです。

回答を生成する前に、必ず関連するフォーラム投稿、Wiki記事、およびタグ付けされたディスカッションを検索して参照してください。

最初の優先事項は、取得したフォーラムコンテンツ（埋め込み検索経由）を使用して応答を作成することです。

  既存の投稿からの要約と引用を優先します。
  関連するトピックが複数見つかった場合は、それらを明確に組み合わせます。
  関連コンテンツが存在しない場合にのみ、LLMを通じて一般的な知識を使用して応答します。
  投稿を参照する際には、トピックのタイトルまたはURLを含めます。
  フォーラムデータでサポートされていない回答を幻覚したり発明したりしないでください。
  事実に基づき、簡潔かつ専門的に対応します。
  ユーザーが広範な質問をした場合は、推測するのではなく、複数のソースを要約することを優先します。
  常に、埋め込みにインデックス化されたカテゴリ、タグ、およびWikiからのコンテキストを優先します。

提案通り、強制ツールを更新しました

4

再利用された2023年のモデルでは、ここでは対応できないと思います。また、Ollamaのこのモデルに関するドキュメントによると、生のAPIでのみツール呼び出しをサポートしており、これは私たちが使用しているものではありません。

全体として、今日のAIボットとしては不適切な選択です。

代わりに、以下のいずれかを使用してください。

「いいね！」 1
5

@Falco様、ご入力ありがとうございます。確認し、改めてご連絡いたします。

「いいね！」 1
6

@Falco LLM を有効にしようとすると 502 エラーが発生します。ログを以下に示します。

image
image586×822 23.5 KB

image
image817×806 32.4 KB

メッセージ

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...

バックトレース

/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

Ollama の OpenAI 互換 API を使用している場合は、プロバイダーを OpenAI に設定してください。

「いいね！」 1
8

@Falco

openAI プロバイダーを試しましたが、問題は引き続き発生しています。

メッセージ

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...

バックトレース

/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

Discourse コンテナーはポート 11434 のサービスにアクセスできますか？ホストで実行している場合は、コンテナー境界を越えてネットワークを通過する方法を提供する必要があります。

10

はい、以前はDiscourseコンテナと同じポートでLLMモデルにアクセスできました。

11

これについて手伝っていただけますか？また、このLLMが実行されている最小RAM要件はいくつですか？

12

なので、おそらく次のようになります。

13

こんにちは、@Falco さん

以下に概説したとおり、言語モデル（LLM）の統合に成功しました。しかし、クエリ処理中に問題が発生しました。プロンプトがフォーラムの特定のコンテンツを考慮していません。フォーラム内の関連する議論や洞察から引き出す代わりに、LLMの既存の情報に基づいて応答を生成しています。この状況を是正し、モデルがフォーラムのユニークな貢献を効果的に組み込むようにするために、どのような手順を踏むべきでしょうか？

以前提案されたLLM:

例:

image

14

ペルソナのツールセクションで、検索と読み取りの両方にアクセスできるようにし、検索を強制ツールに設定してください。

image

また、ペルソナが検索するはずのフォーラムコンテンツはすべて公開されていますか？

15

@Falco、私のボットにナレッジベースに保存されているコンテンツから派生した応答を提供させたいと考えています。AIプラグインおよびその他の包括的な設定を共有していただけますか？また、Retrieval-Augmented Generation (RAG)を有効にするために、アプリケーション内で特定のコマンドを実行する必要はありますか？

16

@Falco 上記についてご確認とフィードバックをお願いできますでしょうか。

17

AI bot debugging allowed groups を介してボットのデバッグを有効にし、ボットが行っているツール呼び出しとその応答を確認します。

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}]}

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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":":"},"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":"\n\n"},"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":"1"},"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}]}

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}]}

data: {"id":"chatcmpl-678","object":"chat.completion.chunk","created":1764664603,"model":"gemma3:1b","system_fingerprint":"fp_ollama","choices":[{"index":0,"delta":{"role":"assistant","content":"Update"},"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":" Your"},"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":" 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}]}
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  1. LLM 設定で ネイティブ ツールのサポートを無効にする (XML ベースのツールを使用) (オプション) にチェックを入れたのはなぜですか？Gemma 3 はネイティブ ツールをサポートしています。

  2. Gemma3 1B は信頼性の高いツール呼び出しには小さすぎます。これは、組み込みハードウェアやブラウザで実行されるモデルよりも小さいモデルです。少なくとも 4B または 12B バリアントを試してください。

20

@Falco 提供された入力でさらに試行し、折り返しご連絡します