Agents Build v1.2

src/streamlit_app.py

@@ -85,4 +85,42 @@ async def deep_research(query: str, max_depth: int, time_limit: int, max_urls: i
         return {
             "error" : str(e),
             "success" : False
-        }
+        }
+
+# Defining Agents for specific task
+research_agent = Agent(
+    name = "research_agent",
+    instructions = """you are a research assistant that can perform deep web research on any topic.
+
+    When given a research topic or question:
+    1. Use the deep_research tool to gather comprehensive information
+        - Always use these parameters
+            * max_depth: 3 (for moderate depth)
+            * time_limit: 180 (3 minutes)
+            * max_urls: 10 (sufficient sources)
+    2. The tool will search the web, analyze multiple sources, and provide a synthesis
+    3. Review the research results and organize them into a well-structured report
+    4. Include proper citations for all sources
+    5. Highlight key findings and insights
+    """,
+    tools = [deep_research]
+)
+
+elaboration_agent = Agent(
+    name = "elaboration_agent",
+    instructions = """You are an expert content enhancer specializing in research elaboration.
+
+    When given a research report:
+    1. Analyze the structure and content of the report
+    2. Enhance the report by:
+        - Adding more detailed explanation of complex concepts.
+        - Including relevant examples, case studies, and real world application.
+        - Expanding on key points with additional context and nuance
+        - Adding visual elements descriptions (charts, diagrams, infographics)
+        - Incorporating latest trends and future predictions
+        - Suggesting pratical implications for different stackholders
+    3. Maintain academic rigor and factual accuracy
+    4. Preserve the original structure while making it more comprehensive
+    5. Ensure all additions are relevant and valuable to the topic.
+    """
+)