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fix: remove <think> wrappers from think messages
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Messages in reasoning_content should be plain text, not wrapped
in <think> tags. Removed wrappers from:
- delegation.py household think messages
- orchestration.py status messages

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
jpmschweitzer
2025-12-16 09:12:17 +01:00
co-authored by Claude Opus 4.5
parent 4907798e74
commit 9980e4764c
6 changed files with 64 additions and 50 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/agents/orchestration.py
+13 -13
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@@ -176,19 +176,19 @@ async def orchestrate_with_think_updates(
if delegation_task.expert_name == "librarian":
expert_display_name = "The Librarian"
yield f"<think>🤝 Consulting {expert_display_name}...</think>\n"
yield f"🤝 Consulting {expert_display_name}...\n"
# Execute delegation (uses run() internally)
result = await execute_delegation(delegation_task)
if result.success:
yield f"<think>✅ {expert_display_name} completed research.</think>\n"
yield f"✅ {expert_display_name} completed research.\n"
# Yield the expert's findings
if result.output:
yield f"\n{result.output}"
else:
yield f"<think>⚠️ {expert_display_name} encountered an issue: {result.error}</think>\n"
yield f"⚠️ {expert_display_name} encountered an issue: {result.error}\n"
logger.info(
"orchestration_complete",
@@ -449,12 +449,12 @@ async def orchestrate_multi_expert(
return
# Stream: Starting multi-expert coordination
yield f"<think>🎯 Starting multi-expert coordination ({len(tasks)} tasks, {mode.value})...</think>\n"
yield f"🎯 Starting multi-expert coordination ({len(tasks)} tasks, {mode.value})...\n"
if mode == ExecutionMode.PARALLEL:
# Parallel execution - emit one update then run all at once
expert_names = ", ".join(_get_display_name(t.expert_name) for t in tasks)
yield f"<think>🔄 Consulting in parallel: {expert_names}...</think>\n"
yield f"🔄 Consulting in parallel: {expert_names}...\n"
result = await execute_parallel(tasks)
@@ -462,9 +462,9 @@ async def orchestrate_multi_expert(
for expert_name, expert_result in result.results.items():
display_name = _get_display_name(expert_name)
if expert_result.success:
yield f"<think>✅ {display_name} completed.</think>\n"
yield f"✅ {display_name} completed.\n"
else:
yield f"<think>⚠️ {display_name} failed: {expert_result.error}</think>\n"
yield f"⚠️ {display_name} failed: {expert_result.error}\n"
else:
# Sequential execution - emit updates for each task
@@ -472,27 +472,27 @@ async def orchestrate_multi_expert(
for task in tasks:
display_name = _get_display_name(task.expert_name)
yield f"<think>🤝 Consulting {display_name}...</think>\n"
yield f"🤝 Consulting {display_name}...\n"
task_result = await execute_delegation(task)
result.add_result(task_result)
if task_result.success:
yield f"<think>✅ {display_name} completed.</think>\n"
yield f"✅ {display_name} completed.\n"
else:
yield f"<think>⚠️ {display_name} failed: {task_result.error}</think>\n"
yield f"⚠️ {display_name} failed: {task_result.error}\n"
if stop_on_failure:
yield "<think>🛑 Stopping due to failure.</think>\n"
yield "🛑 Stopping due to failure.\n"
break
result.aggregate_outputs()
# Stream: Summary
if result.all_succeeded:
yield "<think>🎉 All experts completed successfully.</think>\n"
yield "🎉 All experts completed successfully.\n"
else:
failed_names = ", ".join(_get_display_name(e) for e in result.failed_experts)
yield f"<think>⚠️ Some experts failed: {failed_names}</think>\n"
yield f"⚠️ Some experts failed: {failed_names}\n"
# Yield combined output
if result.combined_output: