From 1c69a73e1b536ff38225d796116c7eb86cd37b9e Mon Sep 17 00:00:00 2001 From: yumoqing Date: Sun, 24 May 2026 15:14:44 +0800 Subject: [PATCH] =?UTF-8?q?fix(llmage):=20failed=5Faccounting.ui=20?= =?UTF-8?q?=E6=97=A5=E6=9C=9F=E6=8E=A7=E4=BB=B6=E6=94=B9=E4=B8=BAUiDate?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- dat/qwen3.7-max.txt | 53 ++++++++++++++++++ llmage/__pycache__/accounting.cpython-310.pyc | Bin 0 -> 9641 bytes llmage/__pycache__/init.cpython-310.pyc | Bin 0 -> 1652 bytes wwwroot/failed_accounting.ui | 4 +- 4 files changed, 55 insertions(+), 2 deletions(-) create mode 100644 dat/qwen3.7-max.txt create mode 100644 llmage/__pycache__/accounting.cpython-310.pyc create mode 100644 llmage/__pycache__/init.cpython-310.pyc diff --git a/dat/qwen3.7-max.txt b/dat/qwen3.7-max.txt new file mode 100644 index 0000000..f07f135 --- /dev/null +++ b/dat/qwen3.7-max.txt @@ -0,0 +1,53 @@ + 已生成完整的 qwen3.7-max 配置SQL。以下是配置方案： + + 模型摘要 + - 模型名称: 千问3.7-Max + - API model: qwen3.7-max (严格按API文档填写) + - 分类: text2text (文生文) + - 供应商: 阿里百炼 (ali-qwen) + - 接口: OpenAI兼容 /chat/completions，同步流式 + + 复用vs新建 + - upapp: 复用 ali-qwen (阿里百炼) + - upappkey: 复用 gCMl-BnrTrfoqWAEPPoH8 (API Key已配置) + - uapi: 复用 t2t (BY2cA4RD_axNxTG4m9Coa) + - uapiio: 复用 Is8l4TGkcZcqFSjbbeIK2 (文本会话) + - llm: 新建 + - llm_api_map: 新建 + - pricing_program: 新建 + - pricing_program_timing: 新建 + + 生成的SQL (4条) + + sql + -- 1. llm表 + INSERT INTO llm VALUES ('Jt26VKlUFsJxABuVLauBc','千问3.7-Max','qwen3.7-max','通义千问3.7系列旗舰模型，相较3.6版本在推理能力、代码能力、多模态理解等方面全面升级。适用于复杂任务处理、智能体开发、代码生成等高级应用场景。','text2text','qwen','ali-qwen','t2t','6fadgewjraOyvxC_EkHou','0','2026-05-23','9999-12-31','',NULL,10.00); + + -- 2. llm_api_map表 + INSERT INTO llm_api_map VALUES ('rFS0Ag-epBUxE5LCF6glW','Jt26VKlUFsJxABuVLauBc','text2text','t2t',NULL,NULL,'0B-JNSUEelsY5TQ_Sawa7','1'); + + -- 3. pricing_program表 + INSERT INTO pricing_program VALUES ('0B-JNSUEelsY5TQ_Sawa7','qwen3.7-max定价','fields:\r\n formula:\r\n label: 计算公式\r\n type: str\r\n model:\r\n label: 模型\r\n type: str\r\n prompt_tokens:\r\n label: 输入词元数\r\n type: int\r\n value_mode: between\r\nformula: null\r\npricings:\r\n- formula: 2.5 prompt_tokens / 1000000 + completion_tokens 10 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: -0.1 ~= 32000\r\n- formula: 4 prompt_tokens / 1000000 + completion_tokens 16 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: 32000 ~= 128000\r\n- formula: 7 prompt_tokens / 1000000 + completion_tokens 28 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: 128000 ~= 256000\r\n- formula: 10 prompt_tokens / 1000000 + completion_tokens 40 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: 256000 ~= 1000000','2026-05-23','9999-12-31'); + + -- 4. pricing_program_timing表 + INSERT INTO pricing_program_timing VALUES ('C-IIEG_9_O9beN8S2vdUI','0B-JNSUEelsY5TQ_Sawa7','qwen3.7-max计费','fields:\r\n formula:\r\n label: 计算公式\r\n type: str\r\n model:\r\n label: 模型\r\n type: str\r\n prompt_tokens:\r\n label: 输入词元数\r\n type: int\r\n value_mode: between\r\nformula: null\r\npricings:\r\n- formula: 2.5 prompt_tokens / 1000000 + completion_tokens 10 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: -0.1 ~= 32000\r\n- formula: 4 prompt_tokens / 1000000 + completion_tokens 16 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: 32000 ~= 128000\r\n- formula: 7 prompt_tokens / 1000000 + completion_tokens 28 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: 128000 ~= 256000\r\n- formula: 10 prompt_tokens / 1000000 + completion_tokens 40 /1000000\r\n model: qwen3.7-max\r\n prompt_tokens: 256000 ~= 1000000','2026-05-23','9999-12-31'); + + + 验证查询 + sql + SELECT id, name, model, upappid, apiname FROM llm WHERE model = 'qwen3.7-max'; + SELECT id, llmid, llmcatelogid, apiname, ppid FROM llm_api_map WHERE llmid = 'Jt26VKlUFsJxABuVLauBc'; + SELECT id, name FROM pricing_program WHERE id = '0B-JNSUEelsY5TQ_Sawa7'; + + + ppid三处一致 + - pricing_program.id = 0B-JNSUEelsY5TQ_Sawa7 + - pricing_program_timing.ppid = 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