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Update chat interface (#70)

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* Update chat interface to fill height and width in Gradio blocks
* Implement asynchronous streaming for Gradio responses and enhance pipeline event handling
* Refactor tool event handling to provide user-friendly messages and add utility function for descriptive tool actions
This commit was merged in pull request #70.
This commit is contained in:
trojanhorse47
2025-10-31 14:24:39 +01:00
committed by GitHub
parent fe6974e938
commit 5bda06823e
10 changed files with 165 additions and 67 deletions
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6
src/app/api/tools/news_tool.py
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@@ -1,4 +1,6 @@
from agno.tools import Toolkit
from app.agents.action_registry import friendly_action
from app.api.tools.instructions import NEWS_TOOL_INSTRUCTIONS
from app.api.wrapper_handler import WrapperHandler
from app.api.core.news import NewsWrapper, Article
@@ -42,6 +44,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
],
)
@friendly_action("📰 Cerco le notizie principali...")
def get_top_headlines(self, limit: int = 100) -> list[Article]:
"""
Retrieves top headlines from the *first available* news provider.
@@ -58,6 +61,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
"""
return self.handler.try_call(lambda w: w.get_top_headlines(limit))
@friendly_action("🔎 Cerco notizie recenti sull'argomento...")
def get_latest_news(self, query: str, limit: int = 100) -> list[Article]:
"""
Searches for the latest news on a specific topic from the *first available* provider.
@@ -75,6 +79,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
"""
return self.handler.try_call(lambda w: w.get_latest_news(query, limit))
@friendly_action("🗞️ Raccolgo le notizie principali da tutte le fonti...")
def get_top_headlines_aggregated(self, limit: int = 100) -> dict[str, list[Article]]:
"""
Retrieves top headlines from *all available providers* and aggregates the results.
@@ -94,6 +99,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
"""
return self.handler.try_call_all(lambda w: w.get_top_headlines(limit))
@friendly_action("📚 Raccolgo notizie specifiche da tutte le fonti...")
def get_latest_news_aggregated(self, query: str, limit: int = 100) -> dict[str, list[Article]]:
"""
Searches for news on a specific topic from *all available providers* and aggregates the results.