cut down openai API-compatible model config options; fix gemini bugs

api/core/model_runtime/model_providers/google/llm/gemini-pro-vision.yaml

@@ -5,7 +5,7 @@ model_type: llm
 features:
 - vision
 model_properties:
-  mode: completion
+  mode: chat
   context_size: 12288
 parameter_rules:
 - name: temperature

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

@@ -236,7 +236,12 @@ def _convert_one_message_to_text(self, message: PromptMessage) -> str:
         """
         human_prompt = "\n\nuser:"
         ai_prompt = "\n\nmodel:"
+
         content = message.content
+        if isinstance(content, list):
+            content = "".join(
+                c.data for c in content if c.type != PromptMessageContentType.IMAGE
+            )
 
         if isinstance(message, UserPromptMessage):
             message_text = f"{human_prompt} {content}"

api/core/model_runtime/model_providers/openai_api_compatible/_common.py

@@ -78,6 +78,8 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode
                     label=I18nObject(en_US="Top K"),
                     type=ParameterType.INT,
                     default=int(credentials.get('top_k', 1)),
+                    min=1,
+                    max=100
                 ),
                 ParameterRule(
                     name=DefaultParameterName.FREQUENCY_PENALTY.value,
@@ -99,9 +101,9 @@ def get_customizable_model_schema(self, model: str, credentials: dict) -> AIMode
                     name=DefaultParameterName.MAX_TOKENS.value,
                     label=I18nObject(en_US="Max Tokens"),
                     type=ParameterType.INT,
-                    default=int(credentials.get('max_tokens_to_sample', 1024)),
+                    default=1024,
                     min=1,
-                    max=4096
+                    max=int(credentials.get('max_tokens_to_sample', 1024)),
                 )
             ],
             pricing=PriceConfig(

api/core/model_runtime/model_providers/openai_api_compatible/openai_api_compatible.yaml

@@ -18,27 +18,11 @@ model_credential_schema:
       en_US: Enter full model name   
       zh_Hans: 输入模型全称
   credential_form_schemas:
-  - variable: require_key
-    label:
-      en_US: Does this model need an API key?
-      zh_Hans: 模型是否需要 API Key
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不需要
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "需要"
   - variable: api_key
     label:
       en_US: API Key
     type: secret-input
-    required: true
+    required: false
     placeholder:
       zh_Hans: 在此输入您的 API Key
       en_US: Enter your API Key
@@ -61,262 +45,12 @@ model_credential_schema:
     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_chunks
-    label:
-      zh_Hans: Embedding 模型段落上限
-      en_US: Max chunks for embedding models
-    show_on:
-    - variable: __model_type
-      value: text-embedding
-    type: text-input
-    default: '1'
-    placeholder:
-      zh_Hans: 在此输入您的 Embedding 模型段落上限
-      en_US: Enter maximum chunks allowed by model
-  - variable: require_temperature
-    label:
-      en_US: Doe the model support adjusting temperature?
-      zh_Hans: 模型是否支持温度参数
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不支持
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "支持"
-    show_on:
-    - variable: __model_type
-      value: llm
-  - variable: temperature
-    label:
-      zh_Hans: 模型温度 (在 0-2 之间)
-      en_US: Temperature (between 0-2)
-    show_on:
-    - variable: __model_type
-      value: llm
-    - variable: require_temperature
-      value: true
-    default: '0.7'
-    type: text-input
-  - variable: require_top_p
-    label:
-      en_US: Doe the model support adjusting Top P?
-      zh_Hans: 模型是否支持 Top P 参数
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不支持
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "支持"
-    show_on:
-    - variable: __model_type
-      value: llm
-  - variable: top_p 
-    label:
-      zh_Hans: Top P (在 0-1 之间)
-      en_US: Top P (between 0-1)
-    show_on:
-    - variable: __model_type
-      value: llm
-    - variable: require_top_p
-      value: true
-    default: '1'
-    type: text-input
-  - variable: require_top_k
-    label:
-      en_US: Doe the model support adjusting Top K?
-      zh_Hans: 模型是否支持 Top K 参数
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不支持
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "支持"
-    show_on:
-    - variable: __model_type
-      value: llm
-  - variable: top_k
-    label:
-      zh_Hans: 取样数量
-      en_US: Top k
-    type: text-input
-    help:
-      zh_Hans: 仅从每个后续标记的前 K 个选项中采样。
-      en_US: Only sample from the top K options for each subsequent token.
-    show_on:
-    - variable: __model_type
-      value: llm
-    default: '1'
-  - variable: require_frequency_penalty
-    label:
-      en_US: Doe the model support adjusting Frequency Penalty?
-      zh_Hans: 模型是否支持 Frequency Penalty 参数
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不支持
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "支持"
-    show_on:
-    - variable: __model_type
-      value: llm
-  - variable: frequency_penalty
-    label:
-      zh_Hans: 频率惩罚 （在 0 ± 2 之间）
-      en_US: Frequency Penalty (between 0 ± 2)
-    show_on:
-    - variable: __model_type
-      value: llm
-    - variable: require_frequency_penalty
-      value: true
-    default: '0'
-    type: text-input
-  - variable: require_presence_penalty
-    label:
-      en_US: Doe the model support adjusting Presence Penalty?
-      zh_Hans: 模型是否支持 Presence Penalty 参数
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不支持
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "支持"
-    show_on:
-    - variable: __model_type
-      value: llm
-  - variable: presence_penalty
-    label:
-      zh_Hans: 存在惩罚 （在 0 ± 2 之间）
-      en_US: Presence Penalty (between 0 ± 2)
-    show_on:
-    - variable: __model_type
-      value: llm
-    - variable: require_presence_penalty
-      value: true
-    default: '0'
-    type: text-input
-  - variable: require_max_token
-    label:
-      en_US: Doe the model support adjusting max token?
-      zh_Hans: 模型是否支持设置最大 Token 数
-    type: radio
-    required: true
-    default: false
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: 不支持
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "支持"
-    show_on:
-    - variable: __model_type
-      value: llm
   - variable: max_tokens_to_sample
     label:
-      zh_Hans: 最大 token 数
-      en_US: Maximum tokens to sample
+      zh_Hans: 最大 token 上限
+      en_US: Upper bound for max tokens
     show_on:
     - variable: __model_type
       value: llm
-    - variable: require_max_token
-      value: true
     default: '4096'
-    type: text-input
-  - variable: require_pricing_config
-    label: 
-      zh_Hans: 是否需要设置价格估计
-      en_US: Do you need price estimation based on token use?
-    required: true
-    default: false
-    type: radio
-    options:
-    - value: false
-      label:
-        en_US: "No"
-        zh_Hans: "不需要"
-    - value: true
-      label:
-        en_US: "Yes"
-        zh_Hans: "需要"
-  - variable: input_price
-    label:
-      zh_Hans: 输入单价
-      en_US: input price
-    default: '0.001'
-    help:
-      zh_Hans: 模型输入 token 单价。
-      en_US: Price per token input.
-    type: text-input
-    show_on:
-      - variable: require_pricing_config
-        value: true
-  - variable: output_price
-    label:
-      zh_Hans: 输出单价
-      en_US: output price
-    label:
-      zh_Hans: 最大 token 数
-      en_US: Maximum tokens to sample
-    default: '0.002'
-    show_on:
-    - variable: __model_type
-      value: llm
-    - variable: require_pricing_config
-      value: true
-    help:
-      zh_Hans: 模型输出 token 单价。
-      en_US: Price per token output.
-    type: text-input
-  - variable: unit
-    label:
-      zh_Hans: 价格单位
-      en_US: pricing unit
-    type: text-input
-    default: '0.001'
-    help:
-      zh_Hans: 价格计算单位。
-      en_US: Price unit for calculation.
-    show_on:
-      - variable: require_pricing_config
-        value: true
-  - variable: currency
-    label:
-      zh_Hans: 币种
-      en_US: Currency
-    default: USD
-    type: text-input
-    show_on:
-      - variable: require_pricing_config
-        value: true
+    type: text-input