74 lines
2.3 KiB
Python
74 lines
2.3 KiB
Python
from langchain_core.messages import HumanMessage, RemoveMessage
|
|
|
|
# Import tools from separate utility files
|
|
from tradingagents.agents.utils.core_stock_tools import (
|
|
get_stock_data
|
|
)
|
|
from tradingagents.agents.utils.technical_indicators_tools import (
|
|
get_indicators
|
|
)
|
|
from tradingagents.agents.utils.fundamental_data_tools import (
|
|
get_fundamentals,
|
|
get_balance_sheet,
|
|
get_cashflow,
|
|
get_income_statement
|
|
)
|
|
from tradingagents.agents.utils.news_data_tools import (
|
|
get_news,
|
|
get_insider_transactions,
|
|
get_global_news
|
|
)
|
|
from tradingagents.custom_prompt import (
|
|
CUSTOM_PROMPT_CONTEXT_FOOTER,
|
|
CUSTOM_PROMPT_CONTEXT_HEADER,
|
|
)
|
|
|
|
|
|
def get_language_instruction() -> str:
|
|
"""Return a prompt instruction for the configured output language.
|
|
|
|
Returns empty string when English (default), so no extra tokens are used.
|
|
Only applied to user-facing agents (analysts, portfolio manager).
|
|
Internal debate agents stay in English for reasoning quality.
|
|
"""
|
|
from tradingagents.dataflows.config import get_config
|
|
lang = get_config().get("output_language", "English")
|
|
if lang.strip().lower() == "english":
|
|
return ""
|
|
return f" Write your entire response in {lang}."
|
|
|
|
|
|
def build_custom_prompt_context(custom_prompt: str | None) -> str:
|
|
"""Format optional run-specific instructions supplied by the user."""
|
|
prompt = (custom_prompt or "").strip()
|
|
if not prompt:
|
|
return ""
|
|
return f"{CUSTOM_PROMPT_CONTEXT_HEADER}\n{prompt}\n{CUSTOM_PROMPT_CONTEXT_FOOTER}"
|
|
|
|
|
|
def build_instrument_context(ticker: str) -> str:
|
|
"""Describe the exact instrument so agents preserve exchange-qualified tickers."""
|
|
return (
|
|
f"The instrument to analyze is `{ticker}`. "
|
|
"Use this exact ticker in every tool call, report, and recommendation, "
|
|
"preserving any exchange suffix (e.g. `.TO`, `.L`, `.HK`, `.T`)."
|
|
)
|
|
|
|
def create_msg_delete():
|
|
def delete_messages(state):
|
|
"""Clear messages and add placeholder for Anthropic compatibility"""
|
|
messages = state["messages"]
|
|
|
|
# Remove all messages
|
|
removal_operations = [RemoveMessage(id=m.id) for m in messages]
|
|
|
|
# Add a minimal placeholder message
|
|
placeholder = HumanMessage(content="Continue")
|
|
|
|
return {"messages": removal_operations + [placeholder]}
|
|
|
|
return delete_messages
|
|
|
|
|
|
|