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add logging of prefix of tool call and tool response

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hjc-puro 2025-11-07 14:43:44 -05:00
parent 2d8f6c46f1
commit 0c618482c4
2 changed files with 34 additions and 20 deletions
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18
batch_runner.py
View file

@ -164,7 +164,8 @@ def _process_single_prompt(
enabled_toolsets=selected_toolsets,
save_trajectories=False, # We handle saving ourselves
verbose_logging=config.get("verbose", False),
ephemeral_system_prompt=config.get("ephemeral_system_prompt")
ephemeral_system_prompt=config.get("ephemeral_system_prompt"),
log_prefix_chars=config.get("log_prefix_chars", 100)
)
# Run the agent with task_id to ensure each task gets its own isolated VM
@ -323,7 +324,8 @@ class BatchRunner:
model: str = "claude-opus-4-20250514",
num_workers: int = 4,
verbose: bool = False,
ephemeral_system_prompt: str = None
ephemeral_system_prompt: str = None,
log_prefix_chars: int = 100,
):
"""
Initialize the batch runner.
@ -340,6 +342,7 @@ class BatchRunner:
num_workers (int): Number of parallel workers
verbose (bool): Enable verbose logging
ephemeral_system_prompt (str): System prompt used during agent execution but NOT saved to trajectories (optional)
log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses (default: 20)
"""
self.dataset_file = Path(dataset_file)
self.batch_size = batch_size
@ -352,6 +355,7 @@ class BatchRunner:
self.num_workers = num_workers
self.verbose = verbose
self.ephemeral_system_prompt = ephemeral_system_prompt
self.log_prefix_chars = log_prefix_chars
# Validate distribution
if not validate_distribution(distribution):
@ -507,7 +511,8 @@ class BatchRunner:
"base_url": self.base_url,
"api_key": self.api_key,
"verbose": self.verbose,
"ephemeral_system_prompt": self.ephemeral_system_prompt
"ephemeral_system_prompt": self.ephemeral_system_prompt,
"log_prefix_chars": self.log_prefix_chars
}
# Get completed prompts set
@ -650,7 +655,8 @@ def main(
resume: bool = False,
verbose: bool = False,
list_distributions: bool = False,
ephemeral_system_prompt: str = None
ephemeral_system_prompt: str = None,
log_prefix_chars: int = 100,
):
"""
Run batch processing of agent prompts from a dataset.
@ -669,6 +675,7 @@ def main(
verbose (bool): Enable verbose logging (default: False)
list_distributions (bool): List available toolset distributions and exit
ephemeral_system_prompt (str): System prompt used during agent execution but NOT saved to trajectories (optional)
log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses (default: 20)
Examples:
# Basic usage
@ -729,7 +736,8 @@ def main(
model=model,
num_workers=num_workers,
verbose=verbose,
ephemeral_system_prompt=ephemeral_system_prompt
ephemeral_system_prompt=ephemeral_system_prompt,
log_prefix_chars=log_prefix_chars
)
runner.run(resume=resume)

20
run_agent.py
View file

@ -65,7 +65,8 @@ class AIAgent:
disabled_toolsets: List[str] = None,
save_trajectories: bool = False,
verbose_logging: bool = False,
ephemeral_system_prompt: str = None
ephemeral_system_prompt: str = None,
log_prefix_chars: int = 100,
):
"""
Initialize the AI Agent.
@ -81,6 +82,7 @@ class AIAgent:
save_trajectories (bool): Whether to save conversation trajectories to JSONL files (default: False)
verbose_logging (bool): Enable verbose logging for debugging (default: False)
ephemeral_system_prompt (str): System prompt used during agent execution but NOT saved to trajectories (optional)
log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses (default: 20)
"""
self.model = model
self.max_iterations = max_iterations
@ -88,6 +90,7 @@ class AIAgent:
self.save_trajectories = save_trajectories
self.verbose_logging = verbose_logging
self.ephemeral_system_prompt = ephemeral_system_prompt
self.log_prefix_chars = log_prefix_chars
# Store toolset filtering options
self.enabled_toolsets = enabled_toolsets
@ -474,9 +477,9 @@ class AIAgent:
print(f"❌ Invalid JSON in tool call arguments: {e}")
function_args = {}
# Preview tool call arguments (first 20 chars)
# Preview tool call arguments
args_str = json.dumps(function_args, ensure_ascii=False)
args_preview = args_str[:20] + "..." if len(args_str) > 20 else args_str
args_preview = args_str[:self.log_prefix_chars] + "..." if len(args_str) > self.log_prefix_chars else args_str
print(f" 📞 Tool {i}: {function_name}({list(function_args.keys())}) - {args_preview}")
tool_start_time = time.time()
@ -498,8 +501,8 @@ class AIAgent:
"tool_call_id": tool_call.id
})
# Preview tool response (first 20 chars)
response_preview = function_result[:20] + "..." if len(function_result) > 20 else function_result
# Preview tool response
response_preview = function_result[:self.log_prefix_chars] + "..." if len(function_result) > self.log_prefix_chars else function_result
print(f" ✅ Tool {i} completed in {tool_duration:.2f}s - {response_preview}")
# Delay between tool calls
@ -590,7 +593,8 @@ def main(
disabled_toolsets: str = None,
list_tools: bool = False,
save_trajectories: bool = False,
verbose: bool = False
verbose: bool = False,
log_prefix_chars: int = 20
):
"""
Main function for running the agent directly.
@ -608,6 +612,7 @@ def main(
list_tools (bool): Just list available tools and exit
save_trajectories (bool): Save conversation trajectories to JSONL files. Defaults to False.
verbose (bool): Enable verbose logging for debugging. Defaults to False.
log_prefix_chars (int): Number of characters to show in log previews for tool calls/responses. Defaults to 20.
Toolset Examples:
- "research": Web search, extract, crawl + vision tools
@ -725,7 +730,8 @@ def main(
enabled_toolsets=enabled_toolsets_list,
disabled_toolsets=disabled_toolsets_list,
save_trajectories=save_trajectories,
verbose_logging=verbose
verbose_logging=verbose,
log_prefix_chars=log_prefix_chars
)
except RuntimeError as e:
print(f"❌ Failed to initialize agent: {e}")