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TradingAgents
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use 'quick_think_llm' instead of hard coded 'gpt-4.1-mini' for model in response

This commit is contained in:
Max Wong 2025-06-23 19:14:51 -04:00
parent 6321331d3a
commit 28eda0e11f
1 changed files with 3 additions and 3 deletions
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6
tradingagents/dataflows/interface.py
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@ -707,7 +707,7 @@ def get_stock_news_openai(ticker, curr_date):
client = OpenAI(base_url=config["backend_url"]) client = OpenAI(base_url=config["backend_url"])
response = client.responses.create( response = client.responses.create(
model=config["shallow_thinker"], model=config["quick_think_llm"],
input=[ input=[
{ {
"role": "system", "role": "system",
@ -742,7 +742,7 @@ def get_global_news_openai(curr_date):
client = OpenAI(base_url=config["backend_url"]) client = OpenAI(base_url=config["backend_url"])
response = client.responses.create( response = client.responses.create(
model=config["shallow_thinker"], model=config["quick_think_llm"],
input=[ input=[
{ {
"role": "system", "role": "system",
@ -777,7 +777,7 @@ def get_fundamentals_openai(ticker, curr_date):
client = OpenAI(base_url=config["backend_url"]) client = OpenAI(base_url=config["backend_url"])
response = client.responses.create( response = client.responses.create(
model=config["shallow_thinker"], model=config["quick_think_llm"],
input=[ input=[
{ {
"role": "system", "role": "system",