update Step_3.py and openai compatible script

reproduce/Step_1_openai_compatible.py

@@ -0,0 +1,66 @@
+import os
+import json
+import time
+import numpy as np
+
+from lightrag import LightRAG
+from lightrag.utils import EmbeddingFunc
+from lightrag.llm import openai_complete_if_cache, openai_embedding
+
+## For Upstage API
+# please check if embedding_dim=4096 in lightrag.py and llm.py in lightrag direcotry
+async def llm_model_func(
+    prompt, system_prompt=None, history_messages=[], **kwargs
+) -> str:
+    return await openai_complete_if_cache(
+        "solar-mini",
+        prompt,
+        system_prompt=system_prompt,
+        history_messages=history_messages,
+        api_key=os.getenv("UPSTAGE_API_KEY"),
+        base_url="https://api.upstage.ai/v1/solar",
+        **kwargs
+    )
+
+async def embedding_func(texts: list[str]) -> np.ndarray:
+    return await openai_embedding(
+        texts,
+        model="solar-embedding-1-large-query",
+        api_key=os.getenv("UPSTAGE_API_KEY"),
+        base_url="https://api.upstage.ai/v1/solar"
+    )
+## /For Upstage API
+
+def insert_text(rag, file_path):
+    with open(file_path, mode='r') as f:
+        unique_contexts = json.load(f)
+    
+    retries = 0
+    max_retries = 3
+    while retries < max_retries:
+        try:
+            rag.insert(unique_contexts)
+            break
+        except Exception as e:
+            retries += 1
+            print(f"Insertion failed, retrying ({retries}/{max_retries}), error: {e}")
+            time.sleep(10)
+    if retries == max_retries:
+        print("Insertion failed after exceeding the maximum number of retries")
+
+cls = "mix"
+WORKING_DIR = f"../{cls}"
+
+if not os.path.exists(WORKING_DIR):
+    os.mkdir(WORKING_DIR)
+
+rag = LightRAG(working_dir=WORKING_DIR,
+            llm_model_func=llm_model_func,
+            embedding_func=EmbeddingFunc(
+                embedding_dim=4096,
+                max_token_size=8192,
+                func=embedding_func
+            )
+        )
+
+insert_text(rag, f"../datasets/unique_contexts/{cls}_unique_contexts.json")