iachat/enterprise/app/services/captain/llm/translate_query_service.rb
Rodribm10 b457e84c2f fix(captain): route embeddings to legacy OpenAI + retry transient errors
Resolve duas camadas de problema identificadas em teste end-to-end:

1. Embeddings falhavam com HTTP 404 (/codex/v1/embeddings não existe).
   Solução: Captain::Llm::EmbeddingService sempre usa OpenAI tradicional
   via Llm::Config.with_api_key(legacy_settings). ProviderConfig expõe
   legacy_openai_settings pra isso.

2. Servidor Codex ocasionalmente responde com response.failed +
   code=server_error (instabilidade transitória). Client agora retenta
   até 2x com backoff exponencial (0.5s, 1.5s) em erros retryable:
   HTTP 5xx, server_error no response.failed, ou stream inacabado.

Outras correções nesta etapa:
- Scenario#agent_model: em modo Codex, ignora CAPTAIN_OPEN_AI_MODEL_SCENARIO
  (que pode ter gpt-4o legado) e usa ProviderConfig.model.
- ExtractionService/ContradictionCheckerService/TranslateQueryService:
  trocam constantes hardcoded gpt-4o-mini/gpt-4.1-nano por
  ProviderConfig.light_model (respeitando o provider ativo).
- ProviderConfig.DEFAULT_CODEX_MODEL agora é gpt-5.2 (reconhecido pelo
  RubyLLM; gpt-5.4 não está no catalog do gem).

Validado ponta-a-ponta: WhatsApp → Chatwoot → Jasmine → handoff Daniela
→ faq_lookup com embedding OK → resposta com preços corretos.

Docs em docs/captain-codex-oauth.md.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-22 17:42:31 -03:00

52 lines
1.3 KiB
Ruby

class Captain::Llm::TranslateQueryService < Captain::BaseTaskService
def self.model
Captain::Llm::ProviderConfig.light_model
end
pattr_initialize [:account!]
def translate(query, target_language:)
return query if query_in_target_language?(query)
messages = [
{ role: 'system', content: system_prompt(target_language) },
{ role: 'user', content: query }
]
response = make_api_call(model: self.class.model, messages: messages)
return query if response[:error]
response[:message].strip
rescue StandardError => e
Rails.logger.warn "TranslateQueryService failed: #{e.message}, falling back to original query"
query
end
private
def event_name
'translate_query'
end
def query_in_target_language?(query)
detector = CLD3::NNetLanguageIdentifier.new(0, 1000)
result = detector.find_language(query)
result.reliable? && result.language == account_language_code
rescue StandardError
false
end
def account_language_code
account.locale&.split('_')&.first
end
def system_prompt(target_language)
<<~SYSTEM_PROMPT_MESSAGE
You are a helpful assistant that translates queries from one language to another.
Translate the query to #{target_language}.
Return just the translated query, no other text.
SYSTEM_PROMPT_MESSAGE
end
end