feat: use "run" instead of "go" to invoke the agent response

Author: BinglanLi

BaseAgent/README.md

@@ -271,7 +271,7 @@ manager.select_libraries_by_names(["pandas", "numpy"])
 selected_tools = manager.get_selected_tools()  # Returns only 2 tools
 
 # In BaseAgent, tool retriever automatically manages selection:
-# agent.go("Analyze protein binding data")
+# agent.run("Analyze protein binding data")
 # -> Retriever selects relevant resources
 # -> ResourceManager marks them as selected=True
 # -> Prompt generation uses only selected resources

BaseAgent/base_agent.py

@@ -719,7 +719,7 @@ def _select_resources_for_prompt(self, prompt: str) -> None:
         print(f"Selected {len(selected_tool_names)} tools, {len(selected_data_names)} data items, {len(selected_lib_names)} libraries")
 
 
-    def go(self, prompt: str):
+    def run(self, prompt: str):
         """
         Execute the agent with the given prompt.
 

examples/01_basic_usage.py

@@ -14,7 +14,7 @@
 )
 
 # Run a task
-result = agent.go("Analyze the dataset and create a visualization")
+result = agent.run("Analyze the dataset and create a visualization")
 print(result)
 
 # Access usage metrics

examples/02_custom_tools.py

@@ -58,6 +58,6 @@ def calculate_metrics(data: list, metric_type: str = "mean") -> float:
 )
 
 # Use the agent with your custom tools
-result = agent.go("Search for proteins related to cancer and calculate the mean relevance")
+result = agent.run("Search for proteins related to cancer and calculate the mean relevance")
 print(result)
 

examples/03_mcp_servers.py

@@ -30,6 +30,6 @@
     print(tool.name)
 
 # Now you can use MCP server tools
-# result = agent.go("List all files in the directory and show their sizes")
+# result = agent.run("List all files in the directory and show their sizes")
 # print(result)
 

examples/04_resource_management.py

@@ -70,7 +70,7 @@
 print(f"Libraries: {summary['libraries']['total']}")
 
 # Use the agent with custom resources
-result = agent.go("Analyze my_dataset.csv using custom_analysis_lib")
+result = agent.run("Analyze my_dataset.csv using custom_analysis_lib")
 print(f"\n=== Agent Result ===")
 print(result)
 

examples/05_custom_configuration.py

@@ -26,6 +26,6 @@
 )
 
 # Run a task with custom configuration
-result = agent.go("Perform a complex multi-step analysis")
+result = agent.run("Perform a complex multi-step analysis")
 print(result)
 

examples/06_tool_retrieval.py

@@ -14,7 +14,7 @@
 )
 
 # The agent will automatically determine which tools are needed
-result = agent.go(
+result = agent.run(
     "Analyze protein sequences, calculate binding affinities, "
     "and create a visualization of the results"
 )
@@ -28,6 +28,6 @@
 ])
 
 # Only selected tools will be available for this task
-result = agent.go("Run a Python analysis on the data")
+result = agent.run("Run a Python analysis on the data")
 print(result)