Fehler im KI-Reasoning-Modus

Version:

Discourse v2026.7.2 — Commits · discourse/discourse · GitHub — Ember v6.10.1

Fehlerdetails:

DiscourseAi::Completions::Endpoints::OpenAi: status: 400 - body: {"error":{"code":400,"upstream_code":"invalid_request_error","message":"The `reasoning_content` in the thinking mode must be passed bac
activesupport-8.0.5/lib/active_support/broadcast_logger.rb:218:in 'block in ActiveSupport::BroadcastLogger#dispatch' 
activesupport-8.0.5/lib/active_support/broadcast_logger.rb:217:in 'Array#map' 
activesupport-8.0.5/lib/active_support/broadcast_logger.rb:217:in 'ActiveSupport::BroadcastLogger#dispatch' 
activesupport-8.0.5/lib/active_support/broadcast_logger.rb:129:in 'ActiveSupport::BroadcastLogger#error' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:685:in 'Kernel#public_send' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:685:in 'DiscourseAi::Completions::Endpoints::Base#failed_response_retry_status_and_delay' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:330:in 'block (3 levels) in DiscourseAi::Completions::Endpoints::Base#perform_completion_request_with_retries' 
net-http-0.9.1/lib/net/http.rb:2461:in 'block in Net::HTTP#transport_request' 
net-http-0.9.1/lib/net/http/response.rb:321:in 'Net::HTTPResponse#reading_body' 
net-http-0.9.1/lib/net/http.rb:2458:in 'Net::HTTP#transport_request' 
net-http-0.9.1/lib/net/http.rb:2410:in 'Net::HTTP#request' 
rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:19:in 'block in Net::HTTP#request_with_mini_profiler' 
rack-mini-profiler-4.0.1/lib/mini_profiler/profiling_methods.rb:51:in 'Rack::MiniProfiler::ProfilingMethods#step' 
rack-mini-profiler-4.0.1/lib/patches/net_patches.rb:18:in 'Net::HTTP#request_with_mini_profiler' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:325:in 'block (2 levels) in DiscourseAi::Completions::Endpoints::Base#perform_completion_request_with_retries' 
net-http-0.9.1/lib/net/http.rb:1630:in 'Net::HTTP#start' 
net-http-0.9.1/lib/net/http.rb:1064:in 'Net::HTTP.start' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:306:in 'block in DiscourseAi::Completions::Endpoints::Base#perform_completion_request_with_retries' 
<internal:kernel>:168:in 'Kernel#loop'
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:282:in 'DiscourseAi::Completions::Endpoints::Base#perform_completion_request_with_retries' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:191:in 'DiscourseAi::Completions::Endpoints::Base#perform_completion!' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/open_ai_shared.rb:50:in 'DiscourseAi::Completions::Endpoints::OpenAiShared#perform_completion!' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:218:in 'DiscourseAi::Completions::Endpoints::Base#replay_non_streaming_as_streaming!' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/base.rb:172:in 'DiscourseAi::Completions::Endpoints::Base#perform_completion!' 
/var/www/discourse/plugins/discourse-ai/lib/completions/endpoints/open_ai_shared.rb:50:in 'DiscourseAi::Completions::Endpoints::OpenAiShared#perform_completion!' 
/var/www/discourse/plugins/discourse-ai/lib/completions/llm.rb:245:in 'DiscourseAi::Completions::Llm#generate' 
/var/www/discourse/plugins/discourse-ai/lib/agents/bot.rb:176:in 'DiscourseAi::Agents::Bot#reply' 
/var/www/discourse/plugins/discourse-ai/lib/ai_bot/playground.rb:378:in 'DiscourseAi::AiBot::Playground#reply_to_chat_message' 
/var/www/discourse/plugins/discourse-ai/app/jobs/regular/create_ai_chat_reply.rb:20:in 'Jobs::CreateAiChatReply#execute' 
/var/www/discourse/app/jobs/base.rb:313:in 'block (2 levels) in Jobs::Base#perform' 
rails_multisite-7.0.0/lib/rails_multisite/connection_management/null_instance.rb:49:in 'RailsMultisite::ConnectionManagement::NullInstance#with_connection'
rails_multisite-7.0.0/lib/rails_multisite/connection_management.rb:17:in 'RailsMultisite::ConnectionManagement.with_connection'
/var/www/discourse/app/jobs/base.rb:300:in 'block in Jobs::Base#perform' 
/var/www/discourse/app/jobs/base.rb:297:in 'Array#each' 
/var/www/discourse/app/jobs/base.rb:297:in 'Jobs::Base#perform' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:220:in 'Sidekiq::Processor#execute_job' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:185:in 'block (4 levels) in Sidekiq::Processor#process' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:180:in 'Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:183:in 'block in Sidekiq::Middleware::Chain#traverse' 
/var/www/discourse/lib/sidekiq/suppress_user_email_errors.rb:6:in 'Sidekiq::SuppressUserEmailErrors#call' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:182:in 'Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:183:in 'block in Sidekiq::Middleware::Chain#traverse' 
/var/www/discourse/lib/sidekiq/discourse_event.rb:6:in 'Sidekiq::DiscourseEvent#call' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:182:in 'Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:183:in 'block in Sidekiq::Middleware::Chain#traverse' 
/var/www/discourse/lib/sidekiq/pausable.rb:131:in 'Sidekiq::Pausable#call' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:182:in 'Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:183:in 'block in Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/job/interrupt_handler.rb:9:in 'Sidekiq::Job::InterruptHandler#call' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:182:in 'Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:183:in 'block in Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/metrics/tracking.rb:26:in 'Sidekiq::Metrics::ExecutionTracker#track' 
sidekiq-7.3.10/lib/sidekiq/metrics/tracking.rb:134:in 'Sidekiq::Metrics::Middleware#call' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:182:in 'Sidekiq::Middleware::Chain#traverse' 
sidekiq-7.3.10/lib/sidekiq/middleware/chain.rb:173:in 'Sidekiq::Middleware::Chain#invoke' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:184:in 'block (3 levels) in Sidekiq::Processor#process' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:145:in 'block (6 levels) in Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/job_retry.rb:118:in 'Sidekiq::JobRetry#local' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:144:in 'block (5 levels) in Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/config.rb:39:in 'block in <class:Config>' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:139:in 'block (4 levels) in Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:281:in 'Sidekiq::Processor#stats' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:134:in 'block (3 levels) in Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/job_logger.rb:15:in 'Sidekiq::JobLogger#call' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:133:in 'block (2 levels) in Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/job_retry.rb:85:in 'Sidekiq::JobRetry#global' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:132:in 'block in Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/job_logger.rb:40:in 'Sidekiq::JobLogger#prepare' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:131:in 'Sidekiq::Processor#dispatch' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:183:in 'block (2 levels) in Sidekiq::Processor#process' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:182:in 'Thread.handle_interrupt' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:182:in 'block in Sidekiq::Processor#process' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:181:in 'Thread.handle_interrupt' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:181:in 'Sidekiq::Processor#process' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:86:in 'Sidekiq::Processor#process_one' 
sidekiq-7.3.10/lib/sidekiq/processor.rb:76:in 'Sidekiq::Processor#run' 
sidekiq-7.3.10/lib/sidekiq/component.rb:10:in 'Sidekiq::Component#watchdog' 
sidekiq-7.3.10/lib/sidekiq/component.rb:19:in 'block in Sidekiq::Component#safe_thread' 

KI-Konfiguration:

Ich habe die folgenden Versuche unternommen:
Versuch 1:
Streaming-Vervollständigung deaktiviert (Streaming-Anfragen in Nicht-Streaming-Anfragen umgewandelt), aber beim Testlauf trat ein Fehler auf:

Streaming-Anfrage fehlgeschlagen: Das Modell gab eine leere Antwort zurück.

Versuch 2:
Streaming-Vervollständigung nicht deaktiviert (Streaming-Anfragen in Nicht-Streaming-Anfragen umgewandelt)

Gleichzeitig bei Reasoning-Arbeit (nur für Reasoning-Modelle) (optional) „none“ ausgewählt

Der Testlauf funktioniert normal, aber dadurch habe ich die Reasoning-Funktion verloren, was ich nicht möchte.

Frage: Liegt das Problem daran, dass die KI-Erweiterung die Logik des Testlaufs nicht korrekt verarbeitet, oder daran, dass das Antwortformat der von mir angebundenen LLM-Plattform nicht übereinstimmt? Falls weitere Informationen benötigt werden, stehe ich gerne zur Verfügung, um das konkrete Problem zu klären.

Ist die Fehlermeldung DiscourseAi::Completions::Endpoints::OpenAi: ... abgeschnitten?

Ich habe gerade diese Fehlermeldung auf Bing gesucht, und es scheint sich um ein DeepSeek-spezifisches Problem des Anbieters zu handeln.

https://blog.csdn.net/weixin_38106322/article/details/161165043

Hast du einen anderen Anbieter (z. B. OpenRouter) getestet?

Danke für die Rückmeldung. Ich nutze einen internen, selbst aggregierten LLM-Router-Dienst.

OpenRouter habe ich noch nicht ausprobiert, da ich den Dienst nicht aktiviert habe.

Wenn das Problem darin besteht, dass DeepSeek bei der Vervollständigung Reasoning-Tokens zurücksenden muss (auch als „interleaved thinking“ bekannt[1]), halte ich das für eine berechtigte Funktionsanfrage.


  1. Das könnte ungenau sein; bei meiner Recherche geht es bei „interleaved thinking“ eher darum, die Reasoning-Informationen zwischen Tool-Aufrufen zu erhalten, anstatt sie mit beliebigem Inhalt zu vermischen ↩︎