chore(agents): remove the deprecated social media analyst names

- the social_media_analyst module and the create_social_media_analyst alias; use create_sentiment_analyst

tradingagents/agents/__init__.py

@@ -1,10 +1,7 @@
 from .analysts.fundamentals_analyst import create_fundamentals_analyst
 from .analysts.market_analyst import create_market_analyst
 from .analysts.news_analyst import create_news_analyst
-from .analysts.sentiment_analyst import (
-    create_sentiment_analyst,
-    create_social_media_analyst,  # deprecated alias kept for back-compat
-)
+from .analysts.sentiment_analyst import create_sentiment_analyst
 from .managers.portfolio_manager import create_portfolio_manager
 from .managers.research_manager import create_research_manager
 from .researchers.bear_researcher import create_bear_researcher
@@ -32,6 +29,5 @@ __all__ = [
     "create_portfolio_manager",
     "create_conservative_debator",
     "create_sentiment_analyst",
-    "create_social_media_analyst",  # deprecated; will be removed in a future version
     "create_trader",
 ]

tradingagents/agents/analysts/sentiment_analyst.py

@@ -1,31 +1,19 @@
-"""Sentiment analyst — multi-source sentiment analysis for a target ticker.
+"""Sentiment analyst: one sentiment report from three sources.
 
-Previously named ``social_media_analyst``. Renamed and redesigned because
-the old version had a prompt that demanded social-media analysis but the
-only tool available was Yahoo Finance news — which led LLMs to fabricate
-Reddit/X/StockTwits content under prompt pressure (verified live).
+The node fetches its sources before calling the model and puts them in the
+prompt, so the model reports on data it was given rather than inventing posts:
 
-The redesigned agent pre-fetches three complementary data sources before
-the LLM is invoked and injects them into the prompt as structured blocks:
+  1. News headlines: Yahoo Finance
+  2. StockTwits messages: the cashtag stream, with Bullish/Bearish tags
+  3. Reddit posts: r/wallstreetbets, r/stocks, r/investing
 
-  1. News headlines     — Yahoo Finance (institutional framing)
-  2. StockTwits messages — retail-trader posts indexed by cashtag, with
-                           user-labeled Bullish/Bearish sentiment tags
-  3. Reddit posts        — r/wallstreetbets, r/stocks, r/investing
+Each source is trimmed to the analysis window. These feeds serve recent items
+and are not archived, so a historical run's sentiment inputs are not
+point-in-time.
 
-Each source is trimmed to the analysis window. These text feeds serve recent
-items and are not archived as of a past date, so sentiment inputs for a
-historical run are not guaranteed to be point-in-time.
-
-The agent does not use tool-calling; the data is in the prompt from
-turn 0. Output uses the structured-output pattern (json_schema for
-OpenAI/xAI, response_schema for Gemini, tool-use for Anthropic), falling
-back to free-text generation for providers that lack native support, so
-the sentiment header (band + score + confidence) is deterministic across
-runs and providers instead of free-form per-model prose.
-
-See: https://github.com/TauricResearch/TradingAgents/issues/557
-See: https://github.com/TauricResearch/TradingAgents/issues/796
+The report is a SentimentReport through structured output where the provider
+supports it and free text otherwise, so the band, score and confidence header
+reads the same across providers.
 """
 
 from datetime import datetime, timedelta
@@ -193,25 +181,3 @@ Fill the following fields:
 - **narrative**: Full source-by-source breakdown, divergences, dominant narrative themes, catalysts and risks, and a markdown summary table of key sentiment signals (direction, source, supporting evidence).
 
 {get_language_instruction()}"""
-
-
-# ---------------------------------------------------------------------------
-# Backwards-compatibility shim
-# ---------------------------------------------------------------------------
-def create_social_media_analyst(llm):
-    """Deprecated alias for :func:`create_sentiment_analyst`.
-
-    Kept so existing code that imports ``create_social_media_analyst``
-    continues to work.
-
-    .. deprecated::
-        Import :func:`create_sentiment_analyst` directly instead.
-    """
-    import warnings
-    warnings.warn(
-        "create_social_media_analyst is deprecated and will be removed in a "
-        "future version. Use create_sentiment_analyst instead.",
-        DeprecationWarning,
-        stacklevel=2,
-    )
-    return create_sentiment_analyst(llm)

tradingagents/agents/analysts/social_media_analyst.py

@@ -1,23 +0,0 @@
-"""Backwards-compatibility shim for the renamed module.
-
-The agent is now ``sentiment_analyst`` and aggregates Yahoo Finance news,
-StockTwits cashtag streams, and Reddit posts into a single sentiment
-report. Import from ``tradingagents.agents.analysts.sentiment_analyst``
-going forward; this module will be removed in a future release.
-
-See: https://github.com/TauricResearch/TradingAgents/issues/557
-"""
-
-import warnings as _warnings
-
-from tradingagents.agents.analysts.sentiment_analyst import (  # noqa: F401
-    create_sentiment_analyst,
-    create_social_media_analyst,
-)
-
-_warnings.warn(
-    "tradingagents.agents.analysts.social_media_analyst is deprecated. "
-    "Import from tradingagents.agents.analysts.sentiment_analyst instead.",
-    DeprecationWarning,
-    stacklevel=2,
-)

tradingagents/graph/setup.py

@@ -66,7 +66,7 @@ class GraphSetup:
         Args:
             selected_analysts (list): List of analyst types to include. Options are:
                 - "market": Market analyst
-                - "social": Social media analyst
+                - "social": Sentiment analyst
                 - "news": News analyst
                 - "fundamentals": Fundamentals analyst
         """