feat: add workflow for examples

.github/workflows/run_examples.yml

@@ -0,0 +1,38 @@
+name: Run Examples
+
+on:
+  push: 
+    branches:
+      - fix_examples
+    pull_request:
+      branches:
+      - fix_examples
+
+jobs:
+  run-examples:
+    runs-on: ubuntu-latest
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v2
+
+    - name: Set up Python 
+      uses: actions/setup-python@v3
+      with:
+        python-version: '3.10'
+
+    - name: Install dependencies
+      run: |
+        python -m venv venv
+        source venv/bin/activate
+        pip install -e ".[default]" 
+
+    - name: Run Examples
+      run: |
+        source venv/bin/activate
+        python -m examples
+
+      env:
+        OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+        OPEN_API_BASE: ${{ secrets.OPENAI_API_BASE }}
+

dbgpt/rag/embedding/embeddings.py

@@ -803,9 +803,10 @@ def embed_query(self, text: str) -> List[float]:
                 "Please install ollama by command `pip install ollama"
             ) from e
         try:
-            return (
-                Client(self.api_url).embeddings(model=self.model_name, prompt=text)
-            )["embedding"]
+            embedding = Client(self.api_url).embeddings(
+                model=self.model_name, prompt=text
+            )
+            return list(embedding["embedding"])
         except ollama.ResponseError as e:
             raise ValueError(f"**Ollama Response Error, Please CheckErrorInfo.**: {e}")
 
@@ -839,7 +840,7 @@ async def aembed_query(self, text: str) -> List[float]:
             embedding = await AsyncClient(host=self.api_url).embeddings(
                 model=self.model_name, prompt=text
             )
-            return embedding["embedding"]
+            return list(embedding["embedding"])
         except ollama.ResponseError as e:
             raise ValueError(f"**Ollama Response Error, Please CheckErrorInfo.**: {e}")
 

examples/__main__.py

@@ -0,0 +1,3 @@
+# TODO add example run code here
+if __name__ == "__main__":
+    print("hello world!")

examples/agents/auto_plan_agent_dialogue_example.py

@@ -15,7 +15,6 @@
 """
 
 import asyncio
-import os
 
 from dbgpt.agent import (
     AgentContext,
@@ -36,10 +35,9 @@ async def main():
     from dbgpt.model.proxy import OpenAILLMClient
 
     agent_memory = AgentMemory()
-    from dbgpt.model.proxy.llms.tongyi import TongyiLLMClient
 
-    llm_client = TongyiLLMClient(
-        model_alias="qwen2-72b-instruct",
+    llm_client = OpenAILLMClient(
+        model_alias="gpt-4o",
     )
 
     context: AgentContext = AgentContext(