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Wrap client side tool call in a message

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Yiorgis Gozadinos 2025-12-17 17:05:03 +02:00
parent ff13be1210
commit 34092e4cdc
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1 changed files with 11 additions and 2 deletions
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13
haiku_rag_slim/haiku/rag/graph/research/graph.py
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@ -10,6 +10,8 @@ from pydantic_graph.beta.join import reduce_list_append
from haiku.rag.config import Config
from haiku.rag.config.models import AppConfig
from haiku.rag.graph.agui.events import (
emit_text_message_end,
emit_text_message_start,
emit_tool_call_args,
emit_tool_call_end,
emit_tool_call_start,
@ -358,12 +360,17 @@ def build_research_graph(
deps.agui_emitter.update_state(state)
try:
# Emit tool call for human input
# Emit tool call for human input wrapped in a message context
# This makes the tool call appear as if emitted by the LLM
message_id = str(uuid4())
tool_call_id = str(uuid4())
if deps.agui_emitter:
# Start an assistant message to contain the tool call
deps.agui_emitter.emit(emit_text_message_start(message_id))
# Emit tool call with parent message reference
deps.agui_emitter.emit(
emit_tool_call_start(tool_call_id, "human_decision")
emit_tool_call_start(tool_call_id, "human_decision", message_id)
)
# Include full state for display
qa_responses = [
@ -387,6 +394,8 @@ def build_research_graph(
)
)
deps.agui_emitter.emit(emit_tool_call_end(tool_call_id))
# End the message after tool call
deps.agui_emitter.emit(emit_text_message_end(message_id))
# Wait for human input
if deps.human_input_queue is None: