fix(graph): resolve instrument identity to stop wrong-company hallucination
Agents had no ground-truth ticker→company mapping, so the market analyst could pattern-match a price chart to the wrong company (e.g. TOTDY read as "TotalEnergies"), and every downstream agent inherited the bad framing. Resolve identity once at run start via a cached, fail-open yfinance lookup and inject company/sector/exchange into the shared instrument context that all twelve agents consume, with an explicit do-not-substitute instruction. Resolution runs on both the propagate() and CLI entry points. Also replaces the bare "Continue" message-clear placeholder, which some OpenAI-compatible providers interpreted as the user task, with a context-anchored placeholder carrying the resolved identity and date. #814 #888
This commit is contained in:
1 parent
61522e103e
commit
d7b40a2a5c
18 files changed
+390
-44
No files matched your search
@@ -1,4 +1,7 @@
|
||||
from tradingagents.agents.utils.agent_utils import get_language_instruction
|
||||
from tradingagents.agents.utils.agent_utils import (
|
||||
get_instrument_context_from_state,
|
||||
get_language_instruction,
|
||||
)
|
||||
|
||||
|
||||
def create_conservative_debator(llm):
|
||||
@@ -14,6 +17,7 @@ def create_conservative_debator(llm):
|
||||
sentiment_report = state["sentiment_report"]
|
||||
news_report = state["news_report"]
|
||||
fundamentals_report = state["fundamentals_report"]
|
||||
instrument_context = get_instrument_context_from_state(state)
|
||||
|
||||
trader_decision = state["trader_investment_plan"]
|
||||
|
||||
@@ -23,6 +27,7 @@ def create_conservative_debator(llm):
|
||||
|
||||
Your task is to actively counter the arguments of the Aggressive and Neutral Analysts, highlighting where their views may overlook potential threats or fail to prioritize sustainability. Respond directly to their points, drawing from the following data sources to build a convincing case for a low-risk approach adjustment to the trader's decision:
|
||||
|
||||
{instrument_context}
|
||||
Market Research Report: {market_research_report}
|
||||
Social Media Sentiment Report: {sentiment_report}
|
||||
Latest World Affairs Report: {news_report}
|
||||
|
||||
Reference in new issue
Block a user