feat(providers): update latest Bailian and Zhipu models

scripts/provider-update-guide.zh-CN.md

@@ -392,3 +392,15 @@ git diff HEAD -- iac-code-rs
 | Kimi 官方 | 无新模型；K3 仍为旗舰。公告：`kimi-k2.5` 与 `moonshot-v1` 系列不再对新注册用户开放，全平台 2026-08-31 下线；存量用户在此之前仍可调用，目录暂不删除。DashScope/火山托管的同名模型不受该公告影响 | 无代码变更（目录保留 `kimi-k2.5`） | [Model List](https://platform.kimi.ai/docs/models) |
 | MiniMax / OpenAI / Anthropic | MiniMax 无新文本模型（M3 仍为旗舰；H3 为视频模型，不在范围内）。OpenAI 无新增通用模型：GPT-5.6 Sol「Ultrafast」是服务层级而非新 model ID（2026-08-13，受限预览），`gpt-5.6-cyber` 仅限 Daybreak Red 审批客户，均不进入目录。Anthropic 无新 GA 模型：`claude-mythos-5` 属 Project Glasswing 邀请制，不进入目录 | 无代码变更 | [OpenAI Changelog](https://developers.openai.com/api/docs/changelog)、[Anthropic Models](https://platform.claude.com/docs/en/about-claude/models/overview)、[MiniMax Models](https://platform.minimax.io/docs/guides/models-intro) |
 | 降级链实现 | `_get_fallback_model` 放宽为「仅要求降级目标仍在 provider 目录内」：源模型可能是已移出可选目录但仍可调用的遗留 ID（如 `qwen3.8-max-preview`），其保存的配置仍应享受降级保护；空目录 provider（compatible/azure/ollama 等）不受影响 | `manager.py` 及 `tests/providers/test_manager.py` | 本次官方模型证据与仓库内降级规则 |
+
+### 2026-08-27 增量证据附录
+
+本节记录 2026-08-27 在上述基线之后重新核验的模型变化；若与更早的证据附录冲突，以本节为准。
+
+| 范围 | 2026-08-27 核验结论 | 代码/测试落点 | 官方证据 |
+| --- | --- | --- | --- |
+| DashScope / Qwen | 按完整百炼 Chat Completions 模型目录重新核验，而不是只看 2026-08-18 之后的增量：新增 `qwen3.8-flash`、优速模式 `qwen3.8-max-prime`、开源服务 `qwen3.8-2.4t-a95b` / `qwen3.8-27b`，并补齐 `qwen3.6-35b-a3b` / `qwen3.6-27b`。官方没有 `qwen3.8-35b`：Qwen3.8 当前开放权重只有 2.4T-A95B 与 27B，35B 的精确 ID 属于 Qwen3.6。Qwen3.8 两款开源服务均为 1M context / 131,072 最大输出并支持显式缓存；Qwen3.6 两款为 262,144 / 65,536 且不支持显式缓存。上述开源模型为可启停的混合思考模型，使用 `enable_thinking` 与可选 `thinking_budget`，不套用仅 Max 支持的 `reasoning_effort`。`qwen3.8-flash` 同时进入标准百炼与 Token Plan 个人版，并支持视觉输入和 1M context；其最大输出未在当前公开页给出，运行时继续使用保守默认值 | `registry.py`、`thinking.py`、`dashscope_provider.py`、`manager.py`、`context_manager.py`、遥测及对应测试 | [模型上下架与更新](https://help.aliyun.com/zh/model-studio/newly-released-models)、[模型价格](https://help.aliyun.com/zh/model-studio/model-pricing)、[Qwen3.8-2.4T-A95B](https://help.aliyun.com/zh/model-studio/qwen3-8-2-4t-a95b)、[Qwen3.8-27B](https://help.aliyun.com/zh/model-studio/qwen3-8-27b)、[Qwen3.6-35B-A3B](https://help.aliyun.com/zh/model-studio/qwen3-6-35b-a3b)、[Qwen3.6-27B](https://help.aliyun.com/zh/model-studio/qwen3-6-27b)、[深度思考](https://help.aliyun.com/zh/model-studio/deep-thinking)、[优速模式](https://help.aliyun.com/zh/model-studio/fast-mode)、[Token Plan 个人版](https://help.aliyun.com/zh/model-studio/token-plan-personal-overview) |
+| DashScope / 第三方直供 | 补入百炼自部署 `kimi-k3`（与月之暗面直供的 `kimi/kimi-k3` 是不同服务边界）、小米直供 `xiaomi/mimo-v2.5-pro` 和阶跃星辰直供 `stepfun/step-3.7-flash`。百炼 `kimi-k3` 为仅思考模型，`enable_thinking` 不可关闭且 `preserve_thinking` 默认开启，支持 Base64 图片；MiMo 为默认开启但可关闭的混合思考纯文本模型，不支持 effort/budget/preserve；Stepfun 为多模态混合思考模型，支持 `low/medium/high` effort，不支持 budget/preserve。三个命名空间/重名模型均按百炼兼容端点协议单独登记，避免复用厂商直连协议 | `config.py`、`registry.py`、`thinking.py`、`dashscope_provider.py`、`manager.py`、`context_manager.py`、遥测及对应测试 | [百炼 Kimi](https://help.aliyun.com/zh/model-studio/kimi-api)、[kimi-k3 模型信息](https://help.aliyun.com/zh/model-studio/aliyun-kimi-k3)、[MiMo](https://help.aliyun.com/zh/model-studio/mimo)、[MiMo-V2.5-Pro 模型信息](https://help.aliyun.com/zh/model-studio/mimo-v2-5-pro)、[Stepfun](https://help.aliyun.com/zh/model-studio/stepfun)、[Step 3.7 Flash 模型信息](https://help.aliyun.com/zh/model-studio/step-3-7-flash) |
+| Z.AI / GLM 官方 | `glm-5.3` 已同时开放标准 Model API 与 Coding Plan，不再只限 Coding Plan，因此进入中国站、国际站的标准 provider 并成为默认；2026-08-26 新发布 `glm-5.3-flash`，同时开放 Model API 与 Coding Plan，支持 1M context、原生图片/视频/文件输入、Function Calling 与结构化输出。其文本参数与 GLM-5.3 一致：思考始终开启，`thinking.type` 仅接受 `enabled`，`reasoning_effort` 支持 `low/high/max`（推荐 `max`）；当前附件适配器使用官方明确支持的 Base64 Data URL，因此开放图片输入标记。关闭思考时继续按 GLM-5.3 迁移规则降级为 `enabled + low` | `config.py`、`registry.py`、`thinking.py`、`zhipu_provider.py`、`manager.py`、`context_manager.py`、遥测及对应测试 | [GLM-5.3（CN）](https://docs.bigmodel.cn/cn/guide/models/text/glm-5.3)、[GLM-5.3（Intl）](https://docs.z.ai/guides/llm/glm-5.3)、[GLM-5.3-Flash](https://docs.z.ai/guides/vlm/glm-5.3-flash)、[发布公告](https://z.ai/blog/glm-5.3-flash) |
+| DashScope 智谱直供 | 百炼华北2（北京）新增智谱原厂直供 `ZHIPU/GLM-5.3`，精确 model ID 包含大写命名空间；仅文本输入，context 为 1,048,576、最大输出为 131,072，支持 Function Calling 与隐式缓存。模型信息页把结构化输出标为支持，但端点级调用页标为不支持，本次不依赖该能力并以端点级限制为准。模型始终思考，`enable_thinking` 必须保持 `true`，`reasoning_effort` 接受 `low/high/max`；关闭请求降级为 `enable_thinking=true + low`。该模型未进入 Token Plan 目录，且按百炼兼容端点协议发送参数，不能复用 Z.AI 直连的 `thinking.type` wire format | `config.py`、`registry.py`、`thinking.py`、`dashscope_provider.py`、`manager.py`、`context_manager.py`、遥测及对应测试 | [GLM-智谱直供调用](https://help.aliyun.com/zh/model-studio/glm-zhipu)、[ZHIPU/GLM-5.3 模型信息](https://help.aliyun.com/zh/model-studio/glm-5-3-by-zhipu)、[Token Plan 个人版目录](https://help.aliyun.com/zh/model-studio/token-plan-personal-overview) |
+| 其他厂商直连 provider | 重新检查 OpenAI、Anthropic、Gemini、DeepSeek、Kimi 与 MiniMax 的官方模型目录和更新日志后，没有发现 2026-08-18 基线之后适合当前 Chat Completions/Message 直连接入路径的新 GA 文本模型；上表的 `kimi-k3`、MiMo 和 Stepfun 变化只属于百炼服务。Kimi K2.5 的 2026-08-31 下线日期尚未到达，继续保留以兼容存量用户 | 无代码变更 | [OpenAI Models](https://developers.openai.com/api/docs/models)、[Anthropic Models](https://platform.claude.com/docs/en/about-claude/models/overview)、[Gemini Release Notes](https://ai.google.dev/gemini-api/docs/changelog)、[DeepSeek Models](https://api-docs.deepseek.com/quick_start/pricing)、[Kimi Models](https://platform.kimi.ai/docs/models)、[MiniMax Models](https://platform.minimax.io/docs/guides/models-intro) |

src/iac_code/config.py

@@ -124,13 +124,13 @@ def _build_canonical_names() -> tuple[str, ...]:
     "glm-5.2-fast-preview": "dashscope",
     "kimi/kimi-k3": "dashscope",
     "minimax/minimax-m3": "dashscope",
+    "zhipu/glm-5.3": "dashscope",
+    "xiaomi/mimo-v2.5-pro": "dashscope",
+    "stepfun/step-3.7-flash": "dashscope",
     # Dated DeepSeek snapshots only exist on Bailian; the official DeepSeek
     # endpoint keeps the undated model IDs.
     "deepseek-v4-pro-0813": "dashscope",
     "deepseek-v4-flash-0731": "dashscope",
-    # GLM-5.3 is currently only served through the GLM Coding Plan endpoints;
-    # the standard ZhiPu model API is not live for it yet.
-    "glm-5.3": "zhipu_cn_codingplan",
 }
 
 _MODEL_PREFIX_TO_PROVIDER: tuple[tuple[str, str], ...] = (

src/iac_code/providers/dashscope_provider.py

@@ -18,6 +18,9 @@
 # Ref: https://help.aliyun.com/zh/model-studio/context-cache
 _EXPLICIT_CACHE_MODEL_PREFIXES: tuple[str, ...] = (
     "qwen3.8-max",
+    "qwen3.8-flash",
+    "qwen3.8-2.4t-a95b",
+    "qwen3.8-27b",
     "qwen3.7-max",
     "qwen3.7-plus",
     "qwen3-coder-plus",
@@ -41,6 +44,7 @@
     "qwen3.6-flash",
     "kimi-k2.7-code",
     "kimi-k2.6",
+    "kimi-k3",
     "kimi/kimi-k3",
     "kimi/kimi-k2.7-code",
     "kimi/kimi-k2.6",
@@ -160,9 +164,18 @@ def _build_thinking_kwargs(self) -> dict[str, Any]:
             elif effort not in {None, "auto"} and spec.default_effort is not None:
                 kwargs["reasoning_effort"] = spec.default_effort.value
             return kwargs
+        if self._model == "kimi-k3":
+            # Bailian-hosted K3 is always-on and defaults to preserved
+            # reasoning. Keep both flags explicit when callers ask to disable.
+            return {"extra_body": {"enable_thinking": True, "preserve_thinking": True}}
         disabled_by_effort = effort in _DISABLE_THINKING_EFFORTS and effort not in allowed
         if self._thinking_disabled() or disabled_by_effort:
             if not spec.supports_disable:
+                if spec.uses_reasoning_effort_param and "low" in allowed:
+                    return {
+                        "extra_body": {"enable_thinking": True},
+                        "reasoning_effort": "low",
+                    }
                 return self._preserve_thinking_kwargs()
             return {"extra_body": {"enable_thinking": False}}
         extra_body: dict[str, Any] = {"enable_thinking": True}

src/iac_code/providers/manager.py

@@ -346,17 +346,25 @@ def _error_event_from_exception(exc: BaseException) -> ErrorEvent:
     "gpt-5.5": "gpt-5.4",
     "gpt-5.4": "gpt-5.4-mini",
     "qwen3.8-max": "qwen3.7-plus",
+    "qwen3.8-max-prime": "qwen3.8-max",
+    "qwen3.8-2.4t-a95b": "qwen3.8-max",
+    "qwen3.8-27b": "qwen3.8-flash",
     "qwen3.8-max-preview": "qwen3.8-max",
     "qwen3.7-max": "qwen3.7-plus",
     "qwen3.7-flash": "qwen3.6-flash",
+    "qwen3.6-35b-a3b": "qwen3.6-flash",
+    "qwen3.6-27b": "qwen3.6-flash",
     "kimi/kimi-k3": "kimi-k2.7-code",
     "kimi-k3": "kimi-k2.7-code",
-    "glm-5.3": "glm-5.2",
+    "glm-5.3": "glm-5.3-flash",
+    "ZHIPU/GLM-5.3": "glm-5.2",
     "glm-5.2-fast-preview": "glm-5.2",
     "glm-5.2": "glm-5.1",
     "deepseek-v4-pro": "deepseek-v4-flash",
     "deepseek-v4-pro-0813": "deepseek-v4-pro",
     "deepseek-v4-flash-0731": "deepseek-v4-flash",
+    "xiaomi/mimo-v2.5-pro": "qwen3.8-flash",
+    "stepfun/step-3.7-flash": "qwen3.8-flash",
 }
 
 _MODEL_REFUSAL_FALLBACK_MAP = {
@@ -365,8 +373,14 @@ def _error_event_from_exception(exc: BaseException) -> ErrorEvent:
 }
 
 _PROVIDER_MODEL_FALLBACK_MAP = {
-    "dashscope": {"qwen3.6-plus": "qwen3.6-flash"},
-    "dashscope_token_plan": {"qwen3.6-plus": "qwen3.6-flash"},
+    "dashscope": {
+        "qwen3.8-flash": "qwen3.7-flash",
+        "qwen3.6-plus": "qwen3.6-flash",
+    },
+    "dashscope_token_plan": {
+        "qwen3.8-flash": "qwen3.6-flash",
+        "qwen3.6-plus": "qwen3.6-flash",
+    },
     "aliyun_codingplan": {"qwen3.6-plus": "qwen3.5-plus"},
     "aliyun_codingplan_intl": {"qwen3.6-plus": "qwen3.5-plus"},
 }

src/iac_code/providers/registry.py

@@ -46,11 +46,17 @@ def model_ids(self) -> list[str]:
         base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
         models=[
             ModelEntry("qwen3.8-max", is_default=True, support_multimodal=True),
+            ModelEntry("qwen3.8-max-prime", support_multimodal=True),
+            ModelEntry("qwen3.8-flash", support_multimodal=True),
+            ModelEntry("qwen3.8-2.4t-a95b"),
+            ModelEntry("qwen3.8-27b", support_multimodal=True),
             ModelEntry("qwen3.7-max"),
             ModelEntry("qwen3.7-plus", support_multimodal=True),
             ModelEntry("qwen3.7-flash", support_multimodal=True),
             ModelEntry("qwen3.6-plus", support_multimodal=True),
             ModelEntry("qwen3.6-flash", support_multimodal=True),
+            ModelEntry("qwen3.6-35b-a3b", support_multimodal=True),
+            ModelEntry("qwen3.6-27b", support_multimodal=True),
             ModelEntry("qwen3.6-max-preview"),
             ModelEntry("qwen3-max"),
             ModelEntry("qwen3.5-plus", support_multimodal=True),
@@ -60,6 +66,7 @@ def model_ids(self) -> list[str]:
             ModelEntry("qwq-plus"),
             ModelEntry("qwen3-coder-plus"),
             ModelEntry("qwen3-coder-next"),
+            ModelEntry("kimi-k3", support_multimodal=True),
             # This adapter sends local images as data URLs, while DashScope's
             # Moonshot-hosted K3 accepts public URLs only.
             ModelEntry("kimi/kimi-k3"),
@@ -73,8 +80,11 @@ def model_ids(self) -> list[str]:
             ModelEntry("glm-5.2-fast-preview"),
             ModelEntry("glm-5.2"),
             ModelEntry("glm-5.1"),
+            ModelEntry("ZHIPU/GLM-5.3"),
             ModelEntry("MiniMax/MiniMax-M3", support_multimodal=True),
             ModelEntry("MiniMax-M2.5"),
+            ModelEntry("xiaomi/mimo-v2.5-pro"),
+            ModelEntry("stepfun/step-3.7-flash", support_multimodal=True),
         ],
         qwenpaw_provider_ids=["dashscope"],
     ),
@@ -86,6 +96,7 @@ def model_ids(self) -> list[str]:
         base_url="https://token-plan.cn-beijing.maas.aliyuncs.com/compatible-mode/v1",
         models=[
             ModelEntry("qwen3.8-max", is_default=True, support_multimodal=True),
+            ModelEntry("qwen3.8-flash", support_multimodal=True),
             ModelEntry("qwen3.7-max"),
             ModelEntry("qwen3.7-plus", support_multimodal=True),
             ModelEntry("qwen3.6-plus", support_multimodal=True),
@@ -267,7 +278,9 @@ def model_ids(self) -> list[str]:
         provider_class="iac_code.providers.zhipu_provider.ZhiPuProvider",
         base_url="https://open.bigmodel.cn/api/paas/v4",
         models=[
-            ModelEntry("glm-5.2", is_default=True),
+            ModelEntry("glm-5.3", is_default=True),
+            ModelEntry("glm-5.3-flash", support_multimodal=True),
+            ModelEntry("glm-5.2"),
             ModelEntry("glm-5.1"),
             ModelEntry("glm-5-turbo"),
             ModelEntry("glm-5"),
@@ -290,7 +303,9 @@ def model_ids(self) -> list[str]:
         provider_class="iac_code.providers.zhipu_provider.ZhiPuProvider",
         base_url="https://api.z.ai/api/paas/v4",
         models=[
-            ModelEntry("glm-5.2", is_default=True),
+            ModelEntry("glm-5.3", is_default=True),
+            ModelEntry("glm-5.3-flash", support_multimodal=True),
+            ModelEntry("glm-5.2"),
             ModelEntry("glm-5.1"),
             ModelEntry("glm-5-turbo"),
             ModelEntry("glm-5"),
@@ -434,6 +449,7 @@ def model_ids(self) -> list[str]:
         base_url="https://open.bigmodel.cn/api/coding/paas/v4",
         models=[
             ModelEntry("glm-5.3", is_default=True),
+            ModelEntry("glm-5.3-flash", support_multimodal=True),
             ModelEntry("glm-5.2"),
             ModelEntry("glm-5-turbo"),
             ModelEntry("glm-4.7"),
@@ -451,6 +467,7 @@ def model_ids(self) -> list[str]:
         base_url="https://api.z.ai/api/coding/paas/v4",
         models=[
             ModelEntry("glm-5.3", is_default=True),
+            ModelEntry("glm-5.3-flash", support_multimodal=True),
             ModelEntry("glm-5.2"),
             ModelEntry("glm-5-turbo"),
             ModelEntry("glm-4.7"),