Local Ollama (#53)
- Fix typo 'Start' 'End' - Add llama3.1 selection - Use 'quick_think_llm' model instead of hard-coding GPT
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@@ -150,6 +150,7 @@ def select_shallow_thinking_agent(provider) -> str:
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("google/gemini-2.0-flash-exp:free - Gemini Flash 2.0 offers a significantly faster time to first token", "google/gemini-2.0-flash-exp:free"),
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],
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"ollama": [
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("llama3.1 local", "llama3.1"),
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("llama3.2 local", "llama3.2"),
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]
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}
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@@ -211,6 +212,7 @@ def select_deep_thinking_agent(provider) -> str:
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("Deepseek - latest iteration of the flagship chat model family from the DeepSeek team.", "deepseek/deepseek-chat-v3-0324:free"),
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],
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"ollama": [
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("llama3.1 local", "llama3.1"),
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("qwen3", "qwen3"),
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]
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}
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@@ -124,7 +124,7 @@ class Toolkit:
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def get_YFin_data(
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symbol: Annotated[str, "ticker symbol of the company"],
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start_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "End date in yyyy-mm-dd format"],
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) -> str:
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"""
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Retrieve the stock price data for a given ticker symbol from Yahoo Finance.
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@@ -145,7 +145,7 @@ class Toolkit:
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def get_YFin_data_online(
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symbol: Annotated[str, "ticker symbol of the company"],
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start_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "End date in yyyy-mm-dd format"],
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) -> str:
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"""
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Retrieve the stock price data for a given ticker symbol from Yahoo Finance.
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@@ -9,7 +9,7 @@ class FinancialSituationMemory:
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self.embedding = "nomic-embed-text"
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else:
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self.embedding = "text-embedding-3-small"
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self.client = OpenAI()
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self.client = OpenAI(base_url=config["backend_url"])
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self.chroma_client = chromadb.Client(Settings(allow_reset=True))
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self.situation_collection = self.chroma_client.create_collection(name=name)
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@@ -628,7 +628,7 @@ def get_YFin_data_window(
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def get_YFin_data_online(
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symbol: Annotated[str, "ticker symbol of the company"],
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start_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "End date in yyyy-mm-dd format"],
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):
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datetime.strptime(start_date, "%Y-%m-%d")
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@@ -670,7 +670,7 @@ def get_YFin_data_online(
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def get_YFin_data(
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symbol: Annotated[str, "ticker symbol of the company"],
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start_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "Start date in yyyy-mm-dd format"],
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end_date: Annotated[str, "End date in yyyy-mm-dd format"],
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) -> str:
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# read in data
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data = pd.read_csv(
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@@ -704,10 +704,10 @@ def get_YFin_data(
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def get_stock_news_openai(ticker, curr_date):
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config = get_config()
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client = OpenAI()
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client = OpenAI(base_url=config["backend_url"])
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response = client.responses.create(
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model="gpt-4.1-mini",
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model=config["quick_think_llm"],
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input=[
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{
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"role": "system",
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@@ -739,10 +739,10 @@ def get_stock_news_openai(ticker, curr_date):
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def get_global_news_openai(curr_date):
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config = get_config()
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client = OpenAI()
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client = OpenAI(base_url=config["backend_url"])
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response = client.responses.create(
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model="gpt-4.1-mini",
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model=config["quick_think_llm"],
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input=[
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{
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"role": "system",
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@@ -774,10 +774,10 @@ def get_global_news_openai(curr_date):
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def get_fundamentals_openai(ticker, curr_date):
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config = get_config()
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client = OpenAI()
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client = OpenAI(base_url=config["backend_url"])
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response = client.responses.create(
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model="gpt-4.1-mini",
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model=config["quick_think_llm"],
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input=[
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{
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"role": "system",
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