feat(build): Support docker install

examples/awel/simple_nl_schema_sql_chart_example.py

@@ -232,7 +232,7 @@ with DAG("simple_nl_schema_sql_chart_example") as dag:
     )
     request_handle_task = RequestHandleOperator()
     query_operator = MapOperator(lambda request: request["query"])
-    llm = OpenAILLMClient()
+    llm = (OpenAILLMClient(api_key=os.getenv("OPENAI_API_KEY", "your api key")),)
     model_name = "gpt-3.5-turbo"
     retriever_task = SchemaLinkingOperator(
         connector=_create_temporary_connection(), llm=llm, model_name=model_name

examples/awel/simple_rag_rewrite_example.py

@@ -29,6 +29,7 @@
         }'
 """
 
+import os
 from typing import Dict
 
 from dbgpt._private.pydantic import BaseModel, Field
@@ -61,7 +62,10 @@ with DAG("dbgpt_awel_simple_rag_rewrite_example") as dag:
     )
     request_handle_task = RequestHandleOperator()
     # build query rewrite operator
-    rewrite_task = QueryRewriteOperator(llm_client=OpenAILLMClient(), nums=2)
+    rewrite_task = QueryRewriteOperator(
+        llm_client=OpenAILLMClient(api_key=os.getenv("OPENAI_API_KEY", "your api key")),
+        nums=2,
+    )
     trigger >> request_handle_task >> rewrite_task
 
 

examples/awel/simple_rag_summary_example.py

@@ -27,6 +27,7 @@ This example shows how to use AWEL to build a simple rag summary example.
         }'
 """
 
+import os
 from typing import Dict
 
 from dbgpt._private.pydantic import BaseModel, Field
@@ -62,7 +63,8 @@ with DAG("dbgpt_awel_simple_rag_summary_example") as dag:
     knowledge_operator = KnowledgeOperator(knowledge_type=KnowledgeType.URL.name)
     # build summary assembler operator
     summary_operator = SummaryAssemblerOperator(
-        llm_client=OpenAILLMClient(), language="en"
+        llm_client=OpenAILLMClient(api_key=os.getenv("OPENAI_API_KEY", "your api key")),
+        language="en",
     )
     (
         trigger