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- Replace langchain4j-ollama with langchain4j-open-ai; AgentFactory/ QueryTool depend on ChatModel/StreamingChatModel interfaces - OllamaJsonClient -> LlmJsonClient: raw /v1/chat/completions with response_format json_schema; single OkHttpClient instance - Thinking off at all 3 call sites via reasoning_effort=none (the only switch that works on /v1; think:false and /no_think are ignored) - Drop client-side length params (num_ctx/num_predict/max_tokens) — server-side OLLAMA_CONTEXT_LENGTH=16384 on xlyllm covers them - Unified tracing: TracingChatModelListener.record() shared by listener callbacks and LlmJsonClient; per-request model name from ctx; sql model now has the listener too (was untraced and mislabeled) - Config keys langchain4j.ollama.* -> llm.{base-url,api-key,chat-model, sql-model}; both models = qwen3.6-27b-iq3:latest (tools+thinking+ vision, verified: streaming tool-calls / json_schema / reasoning off) Verified end-to-end on :8199: intent gate traced (340/28 tokens), agent tool loop, correct answers; warm 1-4s, cold load ~96s (KEEP_ALIVE=30s). -
P4 retirement + code slim-down (~18.5k lines deleted), on top of the intent-gate WIP (docs §17/§18 + agent/tool refinements): - Delete old 8-scene multi-agent stack: XlyErpService, SceneSelector/ Chati/ErpAi/DynamicTableNl2Sql agents, DynamicToolProvider (62 meta tools), Scene/ToolMeta/ParamRule entities+mappers+startup caches - Delete whole milvus/tts/ocr packages, /api/tts + /api/ocr endpoints, tts.html, python stream_server.py; strip dead TTS JS from chat.html (playByIndex/handleNormalResponse had no callers) - Three-pass orphan sweep: 17 dead utils, 16 dead entities, dead constants/exceptions, RedisService+RedisConfig, duplicate JacksonConfig, OperableChatMemoryProvider, old prompt generators; fold PageController into MvcConfig; trim OkHttpUtil 495→39 lines - pom: ~35→13 deps (drop mybatis/JPA/webflux/tika/pdfbox/poi/jieba/ jsoup/gson/fastjson2/springdoc/mapstruct/pagehelper/pinyin4j/ spring-retry/jnr-ffi/hutool/ocr/milvus/embeddings; add starter-jdbc); war 200M+→48M - application.yml: drop milvus/tts/ocr/tesseract/mybatis blocks; GlobalExceptionHandler returns plain {code,message} JSON - docs: mark P4 retirement done in agent-architecture §13/§18 Verified: mvn clean package OK; boot smoke on :8199 (Started 0.9s, /chat 200, health db UP). Old /api/tts & /api/ocr now 404 by design.
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- ErpClient.execStaging(token, opId): POST /ai/execStaging/{opId} (user-token身份) - OpController: erp.exec-staging.enabled -> delegate confirm to ERP executor; default false keeps tested direct path - application-saaslocal.yml: erp.exec-staging.enabled=false (documented) -
…at UI (question/form_collect/token) - QueryTool: enforce table allowlist (viw_* + form data-sources + field-dict tables) via jsqlparser TablesNamesFinder -> blocks NL2SQL reading gdslogininfo/sysjurisdiction/ai_op_queue etc; single-table tenant predicate injection (sBrandsId); brand hint in prompt - TracingChatModelListener: config-gated Langfuse ingestion export (generation span) via JDK HttpClient, no new deps; docker-compose.langfuse.yml self-host - chat.html: send identity+token in chat req; render question(options) + form_collect(rich fields); forward Authorization on confirm/cancel - application-saaslocal.yml: langfuse config (off by default)
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- ErpReadTool: optional keyword -> LIKE filter on the form's resolved name field (viw_kg_field_dict, *Name); keyword doc clarified (only for locating a named record, empty for counts) - ErpClient.readForm: accepts filterField/filterValue -> bFilter - KgQueryTool.findForms: rank by bAiTool(curated) + table + flow-connectivity + name length so the top hit is usually the canonical form - SystemPromptService: hard 'always Simplified Chinese, no other language' rule (kills qwen language drift); prefer top form; read directly instead of over-asking - AgentConfig: qwen3 think(false)/returnThinking(false) -> fast + disciplined tool-calling, no leaked chain-of-thought - application-saaslocal.yml: chat model -> qwen3:14b Verified: no more foreign-language leaks; '多少客户'->92; keyword lookup finds 必胜客; proc-backed stock forms readable; greeting 2s, form lookup ~6s. Known limit: which form/columns get picked for a specific-field-of-specific-record query still varies (deferred KgSearch).
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- ErpClient: thin HTTP client to ERP xlyEntry; dev-login (/checklogin admin) mints+caches a real session token, auto re-login on session expiry (code=-2); reads getBusinessDataByFormcustomId (read-only params only, never bUpdate) - ErpReadTool.readFormData(formId,moduleId): reads a form's real rows, renders Chinese column labels from viw_kg_field_dict, first 10 rows + total count - wired into the agent (tools = findForms + readFormData); system prompt now describes the findForms->readFormData flow (still read-only, writes still 'under development') - application-saaslocal.yml: erp.baseurl -> local xlyEntry :8697 + dev-login creds Verified: '我们有多少客户' -> agent finds the form, reads 92 real customers, renders a clean Chinese table (name/category/salesperson/tax).
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- ReActAgent: AiServices streaming tool-loop (replaces 8-scene SceneSelector path) - AgentConfig: single agent = streaming Ollama(qwen2.5:14b) + KgQueryTool + per-conversation memory + L1-domain system prompt - SystemPromptService: injects L1 domain map (viw_kg_domain) into system prompt; degrades gracefully if KG views missing - KgQueryTool.findForms: read-only form-catalog lookup over local viw_ai_useful_forms (global metadata, no tenant) — interim formId resolver - AgentChatController: POST /api/agent/chat SSE stream ({type:token|reset|done|error}); reset drops pre-tool-call narration - chat.html: consume the new SSE endpoint (streamed), per-page conversationId, drop TTS-borrow path - application-saaslocal.yml: add to worktree (was master-only untracked -> profile silently hit remote DB) Verified running (saaslocal, :8099): streaming chat, tool loop returns real forms, write requests correctly report 'under development'.