refactor: The first refactored version for sdk release (#907)

Co-authored-by: chengfangyin2 <chengfangyin3@jd.com>

dbgpt/_private/llm_metadata.py

@@ -0,0 +1,43 @@
+from dbgpt._private.pydantic import Field, BaseModel
+
+DEFAULT_CONTEXT_WINDOW = 3900
+DEFAULT_NUM_OUTPUTS = 256
+
+
+class LLMMetadata(BaseModel):
+    context_window: int = Field(
+        default=DEFAULT_CONTEXT_WINDOW,
+        description=(
+            "Total number of tokens the model can be input and output for one response."
+        ),
+    )
+    num_output: int = Field(
+        default=DEFAULT_NUM_OUTPUTS,
+        description="Number of tokens the model can output when generating a response.",
+    )
+    is_chat_model: bool = Field(
+        default=False,
+        description=(
+            "Set True if the model exposes a chat interface (i.e. can be passed a"
+            " sequence of messages, rather than text), like OpenAI's"
+            " /v1/chat/completions endpoint."
+        ),
+    )
+    is_function_calling_model: bool = Field(
+        default=False,
+        # SEE: https://openai.com/blog/function-calling-and-other-api-updates
+        description=(
+            "Set True if the model supports function calling messages, similar to"
+            " OpenAI's function calling API. For example, converting 'Email Anya to"
+            " see if she wants to get coffee next Friday' to a function call like"
+            " `send_email(to: string, body: string)`."
+        ),
+    )
+    model_name: str = Field(
+        default="unknown",
+        description=(
+            "The model's name used for logging, testing, and sanity checking. For some"
+            " models this can be automatically discerned. For other models, like"
+            " locally loaded models, this must be manually specified."
+        ),
+    )