Modify embedding model and requirements.txt

cli/utils.py

@@ -252,7 +252,8 @@ def select_llm_provider() -> tuple[str, str]:
         ("Anthropic", "https://api.anthropic.com/"),
         ("Google", "https://generativelanguage.googleapis.com/v1"),
         ("Openrouter", "https://openrouter.ai/api/v1"),
-        ("Ollama", "http://localhost:11434/v1"),        
+        ("Ollama", "http://localhost:11434/v1"),
+        ("DeepSeek", "https://api.deepseek.com/v1") 
     ]
     
     choice = questionary.select(

requirements.txt

@@ -23,3 +23,7 @@ chainlit
 rich
 questionary
 langchain_anthropic
+langchain_deepseek
+langchain_google_genai
+openai
+sentence-transformers

tradingagents/agents/utils/memory.py

@@ -1,7 +1,9 @@
+import os
+
 import chromadb
 from chromadb.config import Settings
 from openai import OpenAI
-
+from sentence_transformers import SentenceTransformer
 
 class FinancialSituationMemory:
     def __init__(self, name, config):
@@ -9,17 +11,23 @@ class FinancialSituationMemory:
             self.embedding = "nomic-embed-text"
         else:
             self.embedding = "text-embedding-3-small"
-            self.client = OpenAI()
         self.chroma_client = chromadb.Client(Settings(allow_reset=True))
         self.situation_collection = self.chroma_client.create_collection(name=name)
 
     def get_embedding(self, text):
         """Get OpenAI embedding for a text"""
-        
-        response = self.client.embeddings.create(
-            model=self.embedding, input=text
-        )
-        return response.data[0].embedding
+        if os.environ.get("OPENAI_API_KEY"):
+            client = OpenAI()
+            response = client.embeddings.create(
+                model=self.embedding, input=text
+            )
+            return response.data[0].embedding
+        else:
+            model = SentenceTransformer("all-MiniLM-L6-v2")
+            embeddings = model.encode(text, convert_to_numpy=True, precision='int8')
+            # 单文本返回一维数组，多文本返回二维数组
+            return embeddings
+
 
     def add_situations(self, situations_and_advice):
         """Add financial situations and their corresponding advice. Parameter is a list of tuples (situation, rec)"""

tradingagents/graph/trading_graph.py

@@ -6,6 +6,7 @@ import json
 from datetime import date
 from typing import Dict, Any, Tuple, List, Optional
 
+from langchain_deepseek import ChatDeepSeek
 from langchain_openai import ChatOpenAI
 from langchain_anthropic import ChatAnthropic
 from langchain_google_genai import ChatGoogleGenerativeAI