refactor: move structured output support outside LLM Node (#21565)

Co-authored-by: Novice <novice12185727@gmail.com>

api/core/workflow/utils/structured_output/entities.py

@@ -1,16 +0,0 @@
-from enum import StrEnum
-
-
-class ResponseFormat(StrEnum):
-    """Constants for model response formats"""
-
-    JSON_SCHEMA = "json_schema"  # model's structured output mode. some model like gemini, gpt-4o,  support this mode.
-    JSON = "JSON"  # model's json mode. some model like claude support this mode.
-    JSON_OBJECT = "json_object"  # json mode's another alias. some model like deepseek-chat, qwen use this alias.
-
-
-class SpecialModelType(StrEnum):
-    """Constants for identifying model types"""
-
-    GEMINI = "gemini"
-    OLLAMA = "ollama"

api/core/workflow/utils/structured_output/prompt.py

@@ -1,17 +0,0 @@
-STRUCTURED_OUTPUT_PROMPT = """You’re a helpful AI assistant. You could answer questions and output in JSON format.
-constraints:
-    - You must output in JSON format.
-    - Do not output boolean value, use string type instead.
-    - Do not output integer or float value, use number type instead.
-eg:
-    Here is the JSON schema:
-    {"additionalProperties": false, "properties": {"age": {"type": "number"}, "name": {"type": "string"}}, "required": ["name", "age"], "type": "object"}
-
-    Here is the user's question:
-    My name is John Doe and I am 30 years old.
-
-    output:
-    {"name": "John Doe", "age": 30}
-Here is the JSON schema:
-{{schema}}
-"""  # noqa: E501