feat: add qwen to add custom model parameters (#8759)

api/core/model_runtime/model_providers/tongyi/llm/llm.py

@@ -18,7 +18,7 @@ from dashscope.common.error import (
     UnsupportedModel,
 )
 
-from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
+from core.model_runtime.entities.llm_entities import LLMMode, LLMResult, LLMResultChunk, LLMResultChunkDelta
 from core.model_runtime.entities.message_entities import (
     AssistantPromptMessage,
     ImagePromptMessageContent,
@@ -35,6 +35,7 @@ from core.model_runtime.entities.model_entities import (
     FetchFrom,
     I18nObject,
     ModelFeature,
+    ModelPropertyKey,
     ModelType,
     ParameterRule,
     ParameterType,
@@ -97,6 +98,11 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         :param tools: tools for tool calling
         :return:
         """
+        # Check if the model was added via get_customizable_model_schema
+        if self.get_customizable_model_schema(model, credentials) is not None:
+            # For custom models, tokens are not calculated.
+            return 0
+
         if model in {"qwen-turbo-chat", "qwen-plus-chat"}:
             model = model.replace("-chat", "")
         if model == "farui-plus":
@@ -537,55 +543,51 @@ class TongyiLargeLanguageModel(LargeLanguageModel):
         :param credentials: model credentials
         :return: AIModelEntity or None
         """
-        rules = [
+        return AIModelEntity(
+            model=model,
+            label=I18nObject(en_US=model, zh_Hans=model),
+            model_type=ModelType.LLM,
+            features=[ModelFeature.TOOL_CALL, ModelFeature.MULTI_TOOL_CALL, ModelFeature.STREAM_TOOL_CALL]
+            if credentials.get("function_calling_type") == "tool_call"
+            else [],
+            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
+            model_properties={
+                ModelPropertyKey.CONTEXT_SIZE: int(credentials.get("context_size", 8000)),
+                ModelPropertyKey.MODE: LLMMode.CHAT.value,
+            },
+            parameter_rules=[
                 ParameterRule(
                     name="temperature",
-                type=ParameterType.FLOAT,
                     use_template="temperature",
-                label=I18nObject(zh_Hans="温度", en_US="Temperature"),
+                    label=I18nObject(en_US="Temperature", zh_Hans="温度"),
-            ),
-            ParameterRule(
-                name="top_p",
                     type=ParameterType.FLOAT,
-                use_template="top_p",
-                label=I18nObject(zh_Hans="Top P", en_US="Top P"),
-            ),
-            ParameterRule(
-                name="top_k",
-                type=ParameterType.INT,
-                min=0,
-                max=99,
-                label=I18nObject(zh_Hans="top_k", en_US="top_k"),
                 ),
                 ParameterRule(
                     name="max_tokens",
-                type=ParameterType.INT,
+                    use_template="max_tokens",
+                    default=512,
                     min=1,
-                max=128000,
+                    max=int(credentials.get("max_tokens", 1024)),
-                default=1024,
+                    label=I18nObject(en_US="Max Tokens", zh_Hans="最大标记"),
-                label=I18nObject(zh_Hans="最大生成长度", en_US="Max Tokens"),
-            ),
-            ParameterRule(
-                name="seed",
                     type=ParameterType.INT,
-                default=1234,
-                label=I18nObject(zh_Hans="随机种子", en_US="Random Seed"),
                 ),
                 ParameterRule(
-                name="repetition_penalty",
+                    name="top_p",
+                    use_template="top_p",
+                    label=I18nObject(en_US="Top P", zh_Hans="Top P"),
                     type=ParameterType.FLOAT,
-                default=1.1,
-                label=I18nObject(zh_Hans="重复惩罚", en_US="Repetition Penalty"),
                 ),
-        ]
+                ParameterRule(
-
+                    name="top_k",
-        entity = AIModelEntity(
+                    use_template="top_k",
-            model=model,
+                    label=I18nObject(en_US="Top K", zh_Hans="Top K"),
-            label=I18nObject(en_US=model),
+                    type=ParameterType.FLOAT,
-            fetch_from=FetchFrom.CUSTOMIZABLE_MODEL,
+                ),
-            model_type=ModelType.LLM,
+                ParameterRule(
-            model_properties={},
+                    name="frequency_penalty",
-            parameter_rules=rules,
+                    use_template="frequency_penalty",
+                    label=I18nObject(en_US="Frequency Penalty", zh_Hans="重复惩罚"),
+                    type=ParameterType.FLOAT,
+                ),
+            ],
         )
-
-        return entity

api/core/model_runtime/model_providers/tongyi/tongyi.yaml

@@ -37,14 +37,51 @@ model_credential_schema:
       en_US: Model Name
       zh_Hans: 模型名称
     placeholder:
-      en_US: Enter full model name
+      en_US: Enter your model name
-      zh_Hans: 输入模型全称
+      zh_Hans: 输入模型名称
   credential_form_schemas:
     - variable: dashscope_api_key
-      required: true
       label:
         en_US: API Key
       type: secret-input
+      required: true
       placeholder:
         zh_Hans: 在此输入您的 API Key
         en_US: Enter your API Key
+    - variable: context_size
+      label:
+        zh_Hans: 模型上下文长度
+        en_US: Model context size
+      required: true
+      type: text-input
+      default: '4096'
+      placeholder:
+        zh_Hans: 在此输入您的模型上下文长度
+        en_US: Enter your Model context size
+    - variable: max_tokens
+      label:
+        zh_Hans: 最大 token 上限
+        en_US: Upper bound for max tokens
+      default: '4096'
+      type: text-input
+      show_on:
+        - variable: __model_type
+          value: llm
+    - variable: function_calling_type
+      label:
+        en_US: Function calling
+      type: select
+      required: false
+      default: no_call
+      options:
+        - value: no_call
+          label:
+            en_US: Not Support
+            zh_Hans: 不支持
+        - value: function_call
+          label:
+            en_US: Support
+            zh_Hans: 支持
+      show_on:
+        - variable: __model_type
+          value: llm