chore: use free models

Signed-off-by: bjorn <bjornjee95@gmail.com>

.gitignore

@@ -6,3 +6,5 @@ src/
 eval_results/
 eval_data/
 *.egg-info/
+.env
+.venv

Makefile

@@ -0,0 +1,23 @@
+.PHONY: setup
+
+setup:
+	@if [ ! -d .venv ]; then \
+		echo "Creating virtual environment..."; \
+		python3 -m venv .venv; \
+		echo "Downloading uv binary..."; \
+		curl -sL https://github.com/astral-sh/uv/releases/download/0.7.12/uv-aarch64-apple-darwin.tar.gz -o .venv/bin/uv.tar.gz; \
+		tar -xzf .venv/bin/uv.tar.gz -C .venv/bin; \
+		mv .venv/bin/uv-aarch64-apple-darwin/uv .venv/bin/uv; \
+		chmod +x .venv/bin/uv; \
+		rm .venv/bin/uv.tar.gz; \
+		rm -rf /.venv/bin/uv-aarch64-apple-darwin; \
+	fi
+
+	@echo "Installing dependencies with uv..."
+	@.venv/bin/uv pip install -r requirements.txt
+	@echo "Please enter your API keys:"
+	@bash -c 'read -s -p "FINNHUB_API_KEY: " FINNHUB_KEY; echo; \
+	          read -s -p "OPENAI_API_KEY: " OPENAI_KEY; echo; \
+	          echo "export FINNHUB_API_KEY=$$FINNHUB_KEY" > .env; \
+	          echo "export OPENAI_API_KEY=$$OPENAI_KEY" >> .env; \
+	          echo "API keys saved to .env file. Run '\''source .env'\'' to load them."'

cli/utils.py

@@ -131,6 +131,7 @@ def select_shallow_thinking_agent() -> str:
         ("GPT-4.1-nano - Ultra-lightweight model for basic operations", "gpt-4.1-nano"),
         ("GPT-4.1-mini - Compact model with good performance", "gpt-4.1-mini"),
         ("GPT-4o - Standard model with solid capabilities", "gpt-4o"),
+        ("Deepseek R1","deepseek/deepseek-chat-v3-0324:free"),
     ]
 
     choice = questionary.select(
@@ -170,6 +171,7 @@ def select_deep_thinking_agent() -> str:
         ("o3-mini - Advanced reasoning model (lightweight)", "o3-mini"),
         ("o3 - Full advanced reasoning model", "o3"),
         ("o1 - Premier reasoning and problem-solving model", "o1"),
+        ("Deepseek R1","deepseek/deepseek-chat-v3-0324:free"),
     ]
 
     choice = questionary.select(

tradingagents/agents/utils/memory.py

@@ -1,21 +1,22 @@
 import chromadb
 from chromadb.config import Settings
-from openai import OpenAI
 import numpy as np
+from sentence_transformers import SentenceTransformer
 
 
 class FinancialSituationMemory:
     def __init__(self, name):
-        self.client = OpenAI()
+        self.embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
         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(
+        # response = self.client.embeddings.create(
-            model="text-embedding-ada-002", input=text
+        #     model="text-embedding-ada-002", input=text
-        )
+        # )
-        return response.data[0].embedding
+        # return response.data[0].embedding
+        return self.embedding_model.encode(text, convert_to_tensor=False)
 
     def add_situations(self, situations_and_advice):
         """Add financial situations and their corresponding advice. Parameter is a list of tuples (situation, rec)"""

tradingagents/default_config.py

@@ -8,8 +8,9 @@ DEFAULT_CONFIG = {
         "dataflows/data_cache",
     ),
     # LLM settings
-    "deep_think_llm": "o4-mini",
+    "base_url": "https://openrouter.ai/api/v1",
-    "quick_think_llm": "gpt-4o-mini",
+    "deep_think_llm": "deepseek/deepseek-r1:free",
+    "quick_think_llm": "deepseek/deepseek-r1:free",
     # Debate and discussion settings
     "max_debate_rounds": 1,
     "max_risk_discuss_rounds": 1,

tradingagents/graph/trading_graph.py

@@ -55,8 +55,9 @@ class TradingAgentsGraph:
         )
 
         # Initialize LLMs
-        self.deep_thinking_llm = ChatOpenAI(model=self.config["deep_think_llm"])
+        self.deep_thinking_llm = ChatOpenAI(base_url=self.config['base_url'],model=self.config["deep_think_llm"])
         self.quick_thinking_llm = ChatOpenAI(
+            base_url=self.config['base_url'],
             model=self.config["quick_think_llm"], temperature=0.1
         )
         self.toolkit = Toolkit(config=self.config)