Plugin/merge main to plugin/beta 20250122 (#12962)

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api/core/model_runtime/model_providers/__base/tokenizers/gpt2_tokenzier.py

@@ -1,6 +1,9 @@
+import logging
 from threading import Lock
 from typing import Any
 
+logger = logging.getLogger(__name__)
+
 _tokenizer: Any = None
 _lock = Lock()
 
@@ -43,5 +46,6 @@ class GPT2Tokenizer:
                     base_path = abspath(__file__)
                     gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
                     _tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)
+                    logger.info("Fallback to Transformers' GPT-2 tokenizer from tiktoken")
 
             return _tokenizer

api/core/model_runtime/model_providers/wenxin/llm/ernie-lite-pro-128k.yaml

@@ -1,42 +0,0 @@
-model: ernie-lite-pro-128k
-label:
-  en_US: Ernie-Lite-Pro-128K
-model_type: llm
-features:
-  - agent-thought
-model_properties:
-  mode: chat
-  context_size: 128000
-parameter_rules:
-  - name: temperature
-    use_template: temperature
-    min: 0.1
-    max: 1.0
-    default: 0.8
-  - name: top_p
-    use_template: top_p
-  - name: min_output_tokens
-    label:
-      en_US: "Min Output Tokens"
-      zh_Hans: "最小输出Token数"
-    use_template: max_tokens
-    min: 2
-    max: 2048
-    help:
-      zh_Hans: 指定模型最小输出token数
-      en_US: Specifies the lower limit on the length of generated results.
-  - name: max_output_tokens
-    label:
-      en_US: "Max Output Tokens"
-      zh_Hans: "最大输出Token数"
-    use_template: max_tokens
-    min: 2
-    max: 2048
-    default: 2048
-    help:
-      zh_Hans: 指定模型最大输出token数
-      en_US: Specifies the upper limit on the length of generated results. If the generated results are truncated, you can increase this parameter.
-  - name: presence_penalty
-    use_template: presence_penalty
-  - name: frequency_penalty
-    use_template: frequency_penalty

api/core/model_runtime/schema_validators/common_validator.py

@@ -87,6 +87,6 @@ class CommonValidator:
             if value.lower() not in {"true", "false"}:
                 raise ValueError(f"Variable {credential_form_schema.variable} should be true or false")
 
-            value = True if value.lower() == "true" else False
+            value = value.lower() == "true"
 
         return value