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docs: update node name from generate_title to title_generator_node
Updated references to the title generation node in both documentation and code: - Changed node name from `generate_title` to `title_generator_node` in API design documentation - Updated filtering logic in agent service to exclude `title_generator_node` from LLM call statistics, token counting, and frontend streaming events - Maintains same functionality while using more descriptive node name for clarity
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@ -221,7 +221,7 @@ await conn.execute("CREATE INDEX IF NOT EXISTS idx_pinned_updated ON chat_sessio
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### Title 自动同步
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会话标题由 `generate_title` 节点自动生成,保存在 LangGraph checkpoint 的 `conversation_title` 字段中。
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会话标题由 `title_generator_node` 节点自动生成,保存在 LangGraph checkpoint 的 `conversation_title` 字段中。
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**同步机制**:
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1. 流式 Chat 完成后,从 checkpoint 读取最终 state
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@ -308,19 +308,19 @@ class AgentService:
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# Track LLM calls and tokens
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if event_type == "on_chat_model_start":
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# Filter out generate_title node from statistics
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# Filter out title_generator_node from statistics
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langgraph_node = event.get("metadata", {}).get("langgraph_node", "")
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if langgraph_node != "generate_title":
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if langgraph_node != "title_generator_node":
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llm_calls_count += 1
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log.debug("LLM call started, count=%d", llm_calls_count)
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else:
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log.debug("Skipping LLM call count for internal node: generate_title")
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log.debug("Skipping LLM call count for internal node: title_generator_node")
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elif event_type == "on_chat_model_end":
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# Filter out generate_title node from token counting
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# Filter out title_generator_node from token counting
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langgraph_node = event.get("metadata", {}).get("langgraph_node", "")
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if langgraph_node == "generate_title":
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log.debug("Skipping token counting for internal node: generate_title")
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if langgraph_node == "title_generator_node":
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log.debug("Skipping token counting for internal node: title_generator_node")
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else:
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# Extract token usage from response metadata
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# Try multiple possible locations where token usage might be stored
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@ -368,11 +368,11 @@ class AgentService:
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# Convert event to chunk for SSE streaming
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# Use accumulator for on_chat_model_stream events to handle progressive tool calls
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# Filter out internal nodes (generate_title) from streaming to frontend
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# Filter out internal nodes (title_generator_node) from streaming to frontend
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langgraph_node = event.get("metadata", {}).get("langgraph_node", "")
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if langgraph_node == "generate_title":
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# Skip all events from the generate_title node (internal use only)
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log.debug("Skipping event from internal node: generate_title")
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if langgraph_node == "title_generator_node":
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# Skip all events from the title_generator_node (internal use only)
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log.debug("Skipping event from internal node: title_generator_node")
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continue
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if event_type == "on_chat_model_stream":
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