ezra-environment/protected/skills-backup/mlops/training/hermes-atropos-environments/references/agentresult-fields.md

AgentResult Fields Reference

AgentResult is defined in environments/agent_loop.py as a dataclass.

Fields

Field	Type	Description
messages	List[Dict[str, Any]]	Full conversation history in OpenAI message format
managed_state	Optional[Dict]	ManagedServer.get_state() if Phase 2, else None
turns_used	int	Number of LLM calls made during the loop
finished_naturally	bool	True if model stopped calling tools on its own
reasoning_per_turn	List[Optional[str]]	Extracted reasoning content per turn
tool_errors	List[ToolError]	Tool errors encountered during the loop

ToolError Fields

Field	Type	Description
turn	int	Which turn the error occurred
tool_name	str	Name of the tool that failed
arguments	str	Arguments passed to the tool
error	str	Error message
tool_result	str	The result returned to the model

Extracting Data from Messages

Messages follow OpenAI format. Common patterns:

# Get final assistant response
for msg in reversed(result.messages):
    if msg.get("role") == "assistant" and msg.get("content"):
        final_response = msg["content"]
        break

# Get all tool names used
tools = []
for msg in result.messages:
    if msg.get("role") == "assistant" and msg.get("tool_calls"):
        for tc in msg["tool_calls"]:
            fn = tc.get("function", {}) if isinstance(tc, dict) else {}
            tools.append(fn.get("name", ""))

# Get tool results
for msg in result.messages:
    if msg.get("role") == "tool":
        tool_output = msg.get("content", "")
        call_id = msg.get("tool_call_id", "")

Fields that DO NOT EXIST

These are common mistakes — AgentResult does NOT have:

• final_response — extract from messages
• tool_calls — extract from messages
• tools_used — extract from messages
• output — extract from messages
• response — extract from messages