Docker support and Ollama support (#47)

- Added support for running CLI and Ollama server via Docker
- Introduced tests for local embeddings model and standalone Docker setup
- Enabled conditional Ollama server launch via LLM_PROVIDER

tradingagents/agents/utils/memory.py

@@ -7,6 +7,7 @@ class FinancialSituationMemory:
     def __init__(self, name, config):
         if config["backend_url"] == "http://localhost:11434/v1":
             self.embedding = "nomic-embed-text"
+            self.client = OpenAI(base_url=config["backend_url"])
         else:
             self.embedding = "text-embedding-3-small"
             self.client = OpenAI()

tradingagents/default_config.py

@@ -2,7 +2,10 @@ import os
 
 DEFAULT_CONFIG = {
     "project_dir": os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
-    "data_dir": "/Users/yluo/Documents/Code/ScAI/FR1-data",
+    "data_dir": os.path.join(
+        os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
+        "data",
+    ),
     "data_cache_dir": os.path.join(
         os.path.abspath(os.path.join(os.path.dirname(__file__), ".")),
         "dataflows/data_cache",