Merge de98914724 into a438acdbbd

.env.sample

@@ -0,0 +1,6 @@
+# Finnhub API Key
+FINNHUB_API_KEY="YOUR_FINNHUB_API_KEY"
+
+# OpenAI API Key
+OPENAI_API_KEY="YOUR_OPENAI_API_KEY"
+BACKEND_URL="https://api.openai.com/v1"

.gitignore

@@ -7,3 +7,5 @@ eval_results/
 eval_data/
 *.egg-info/
 .env
+.vscode/
+results/

README.md

@@ -114,15 +114,15 @@ pip install -r requirements.txt
 
 ### Required APIs
 
-You will also need the FinnHub API for financial data. All of our code is implemented with the free tier.
+You will need API keys from FinnHub and OpenAI. You can provide them by creating a `.env` file in the root of the project. Rename the `.env.sample` file to `.env` and add your API keys:
+
 ```bash
-export FINNHUB_API_KEY=$YOUR_FINNHUB_API_KEY
+# .env
+FINNHUB_API_KEY="YOUR_FINNHUB_API_KEY"
+OPENAI_API_KEY="YOUR_OPENAI_API_KEY"
 ```
 
-You will need the OpenAI API for all the agents.
+The application will automatically load these keys. Alternatively, you can still use environment variables if you prefer.
-```bash
-export OPENAI_API_KEY=$YOUR_OPENAI_API_KEY
-```
 
 ### CLI Usage
 

cli/main.py

@@ -20,6 +20,8 @@ from rich import box
 from rich.align import Align
 from rich.rule import Rule
 
+from dotenv import load_dotenv
+load_dotenv()
 from tradingagents.graph.trading_graph import TradingAgentsGraph
 from tradingagents.default_config import DEFAULT_CONFIG
 from cli.models import AnalystType
@@ -394,7 +396,7 @@ def update_display(layout, spinner_text=None):
 def get_user_selections():
     """Get all user selections before starting the analysis display."""
     # Display ASCII art welcome message
-    with open("./cli/static/welcome.txt", "r") as f:
+    with open("./cli/static/welcome.txt", "r", encoding="utf-8") as f:
         welcome_ascii = f.read()
 
     # Create welcome box content
@@ -764,7 +766,7 @@ def run_analysis():
             func(*args, **kwargs)
             timestamp, message_type, content = obj.messages[-1]
             content = content.replace("\n", " ")  # Replace newlines with spaces
-            with open(log_file, "a") as f:
+            with open(log_file, "a", encoding="utf-8") as f:
                 f.write(f"{timestamp} [{message_type}] {content}\n")
         return wrapper
     
@@ -775,7 +777,7 @@ def run_analysis():
             func(*args, **kwargs)
             timestamp, tool_name, args = obj.tool_calls[-1]
             args_str = ", ".join(f"{k}={v}" for k, v in args.items())
-            with open(log_file, "a") as f:
+            with open(log_file, "a", encoding="utf-8") as f:
                 f.write(f"{timestamp} [Tool Call] {tool_name}({args_str})\n")
         return wrapper
 
@@ -788,7 +790,7 @@ def run_analysis():
                 content = obj.report_sections[section_name]
                 if content:
                     file_name = f"{section_name}.md"
-                    with open(report_dir / file_name, "w") as f:
+                    with open(report_dir / file_name, "w", encoding="utf-8") as f:
                         f.write(content)
         return wrapper
 

requirements.txt

@@ -24,3 +24,5 @@ rich
 questionary
 langchain_anthropic
 langchain-google-genai
+
+python-dotenv

tradingagents/agents/utils/memory.py

@@ -1,3 +1,4 @@
+import os
 import chromadb
 from chromadb.config import Settings
 from openai import OpenAI
@@ -5,11 +6,14 @@ from openai import OpenAI
 
 class FinancialSituationMemory:
     def __init__(self, name, config):
-        if config["backend_url"] == "http://localhost:11434/v1":
+        backend_url = os.environ.get("BACKEND_URL", config.get("backend_url"))
+        api_key = os.environ.get("OPENAI_API_KEY", config.get("openai_api_key"))
+
+        if backend_url == "http://localhost:11434/v1":
             self.embedding = "nomic-embed-text"
         else:
             self.embedding = "text-embedding-3-small"
-        self.client = OpenAI(base_url=config["backend_url"])
+        self.client = OpenAI(base_url=backend_url, api_key=api_key)
         self.chroma_client = chromadb.Client(Settings(allow_reset=True))
         self.situation_collection = self.chroma_client.create_collection(name=name)
 

tradingagents/default_config.py

@@ -1,4 +1,8 @@
 import os
+from dotenv import load_dotenv
+
+# Load environment variables from .env file
+load_dotenv()
 
 DEFAULT_CONFIG = {
     "project_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
@@ -12,7 +16,7 @@ DEFAULT_CONFIG = {
     "llm_provider": "openai",
     "deep_think_llm": "o4-mini",
     "quick_think_llm": "gpt-4o-mini",
-    "backend_url": "https://api.openai.com/v1",
+    "backend_url": os.getenv("BACKEND_URL", "https://api.openai.com/v1"),
     # Debate and discussion settings
     "max_debate_rounds": 1,
     "max_risk_discuss_rounds": 1,

tradingagents/graph/trading_graph.py

@@ -48,6 +48,12 @@ class TradingAgentsGraph:
         self.debug = debug
         self.config = config or DEFAULT_CONFIG
 
+        # Override config with environment variables if set
+        self.config["backend_url"] = os.environ.get("BACKEND_URL", self.config.get("backend_url"))
+        self.config["OPENAI_API_KEY"] = os.environ.get("OPENAI_API_KEY", self.config.get("OPENAI_API_KEY"))
+        self.config["deep_think_llm"] = os.environ.get("DEEP_THINK_LLM", self.config.get("deep_think_llm"))
+        self.config["quick_think_llm"] = os.environ.get("QUICK_THINK_LLM", self.config.get("quick_think_llm"))
+
         # Update the interface's config
         set_config(self.config)