save

tradingagents/agents/utils/memory.py

@@ -5,11 +5,11 @@ from openai import OpenAI
 
 class FinancialSituationMemory:
     def __init__(self, name, config):
-        if config["backend_url"] == "http://localhost:11434/v1":
+        if config["backend_embedding_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=config["backend_embedding_url"])
         self.chroma_client = chromadb.Client(Settings(allow_reset=True))
         self.situation_collection = self.chroma_client.create_collection(name=name)
 

tradingagents/dataflows/interface.py

@@ -4,7 +4,7 @@ from typing import Annotated
 from .local import get_YFin_data, get_finnhub_news, get_finnhub_company_insider_sentiment, get_finnhub_company_insider_transactions, get_simfin_balance_sheet, get_simfin_cashflow, get_simfin_income_statements, get_reddit_global_news, get_reddit_company_news
 from .local_news import get_local_news
 from .y_finance import get_YFin_data_online, get_stock_stats_indicators_window, get_balance_sheet as get_yfinance_balance_sheet, get_cashflow as get_yfinance_cashflow, get_income_statement as get_yfinance_income_statement, get_insider_transactions as get_yfinance_insider_transactions
-from .google import get_google_news
+# Note: get_google_news not imported - incompatible signature with get_news tool interface
 from .openai import get_stock_news_openai, get_global_news_openai, get_fundamentals_openai
 from .alpha_vantage import (
     get_stock as get_alpha_vantage_stock,
@@ -98,11 +98,11 @@ VENDOR_METHODS = {
         "local": get_simfin_income_statements,
     },
     # news_data
+    # Note: get_google_news removed - incompatible signature (expects look_back_days int, not end_date string)
     "get_news": {
         "alpha_vantage": get_alpha_vantage_news,
         "openai": get_stock_news_openai,
-        "google": get_google_news,
+        "local": [get_finnhub_news, get_reddit_company_news],
-        "local": [get_finnhub_news, get_reddit_company_news, get_google_news],
         "local_news": get_local_news
     },
     "get_global_news": {

tradingagents/default_config.py

@@ -18,10 +18,14 @@ DEFAULT_CONFIG = {
     # "quick_think_llm": "qwen3:30b",
     # "deep_think_llm": "gpt-oss",
     # "quick_think_llm": "gpt-oss",
+    # "temperature": 0.1,
     "deep_think_llm": "glm-4.7-flash",
     "quick_think_llm": "glm-4.7-flash",
-    # "backend_url": "http://localhost:8080/v1",
+    "temperature": 0.7,
-    "backend_url": "http://localhost:11434/v1",
+    "top_p": 0.95,
+    "backend_url": "http://localhost:8080/v1",
+    "backend_embedding_url": "http://localhost:8081/v1",
+    # "backend_url": "http://localhost:11434/v1",
     # Debate and discussion settings
     "max_debate_rounds": 5,
     "max_risk_discuss_rounds": 5,
@@ -49,4 +53,6 @@ DEFAULT_CONFIG = {
         # "get_insider_sentiment": "na",
         "get_insider_transactions": "yfinance",
     },
-}
+}
+
+# docker run --rm -it --gpus all   -v ~/.cache/llama.cpp:/root/.cache/llama.cpp   -p 8080:8080   ghcr.io/ggml-org/llama.cpp:server-cuda   -hf unsloth/GLM-4.7-Flash-GGUF:Q4_K_M   --port 8080   --host 0.0.0.0   -ngl 99   --jinja   --ctx-size 32768 --min-p 0.01 --embeddings --pooling cls --ubatch-size 8192

tradingagents/graph/trading_graph.py

@@ -73,11 +73,23 @@ class TradingAgentsGraph:
 
         # Initialize LLMs
         if self.config["llm_provider"].lower() == "openai" or self.config["llm_provider"] == "ollama" or self.config["llm_provider"] == "openrouter":
-            self.deep_thinking_llm = ChatOpenAI(model=self.config["deep_think_llm"], base_url=self.config["backend_url"], temperature=0)
+            self.deep_thinking_llm = ChatOpenAI(model=self.config["deep_think_llm"],
-            self.quick_thinking_llm = ChatOpenAI(model=self.config["quick_think_llm"], base_url=self.config["backend_url"], temperature=0)
+            base_url=self.config["backend_url"],
+            temperature=self.config["temperature"],
+            top_p=self.config["top_p"])
+            self.quick_thinking_llm = ChatOpenAI(model=self.config["quick_think_llm"],
+            base_url=self.config["backend_url"],
+            temperature=self.config["temperature"],
+            top_p=self.config["top_p"])
         elif self.config["llm_provider"].lower() == "anthropic":
-            self.deep_thinking_llm = ChatAnthropic(model=self.config["deep_think_llm"], base_url=self.config["backend_url"], temperature=0)
+            self.deep_thinking_llm = ChatAnthropic(model=self.config["deep_think_llm"],
-            self.quick_thinking_llm = ChatAnthropic(model=self.config["quick_think_llm"], base_url=self.config["backend_url"], temperature=0)
+            base_url=self.config["backend_url"],
+            temperature=self.config["temperature"],
+            top_p=self.config["top_p"])
+            self.quick_thinking_llm = ChatAnthropic(model=self.config["quick_think_llm"],
+            base_url=self.config["backend_url"],
+            temperature=self.config["temperature"],
+            top_p=self.config["top_p"])
         elif self.config["llm_provider"].lower() == "google":
             self.deep_thinking_llm = ChatGoogleGenerativeAI(model=self.config["deep_think_llm"])
             self.quick_thinking_llm = ChatGoogleGenerativeAI(model=self.config["quick_think_llm"])