yumoqing
6d14347ebc
- Create stats.py with get_llmage_stats() helper function - Add 4 stat widgets: stat_total_models, stat_today_calls, stat_today_amount, stat_catelog_count - Update index.ui to display stat cards row above navigation cards - Register get_llmage_stats in load_llmage()
54 lines
4.0 KiB
Plaintext
54 lines
4.0 KiB
Plaintext
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 = 0B-JNSUEelsY5TQ_Sawa7
|
||
- llm_api_map.ppid = 0B-JNSUEelsY5TQ_Sawa7
|
||
|
||
注意事项
|
||
1. 定价参考qwen3.6-plus的阶梯式计费模式，具体价格需根据百炼官方定价调整
|
||
2. qwen3.7-max使用已有的t2t uapi，OpenAI兼容接口
|
||
3. 如果qwen3.7-max有特殊的推理模式（如思考/非思考切换），可能需要额外的配置
|
||
4. 之前提到的 startReasoning is not defined 前端报错问题需要单独排查，可能与harnessed_reasoning的bricks前端代码有关
|
||
|