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### Summary Agentic search <img width="1149" height="1575" alt="image" src="https://github.com/user-attachments/assets/bce9a3e7-0517-4fb2-80a2-5d2a81a4da78" /> --------- Co-authored-by: Yingfeng Zhang <yingfeng.zhang@gmail.com>
95 lines
3.3 KiB
Python
95 lines
3.3 KiB
Python
#
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# Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""Surface selected internal INFO logs to the client as ``<think>`` content.
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During an agentic ``rag_agent`` turn we attach a context-scoped logging sink so
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the pipeline's bracket-tagged progress logs — ``[agentic-rag]``,
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``[formalize_question]``, ``[pre_search]``, ``[Planner]``, ``[orchestrator]``,
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``[agentic]``, ``[Hybrid search]``, ``[BM25 search]``, ``[Web search]``,
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``[ToolLoop]``, ``[FunctionTool]`` … — can be streamed to the front end as
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reasoning without instrumenting every call site.
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The sink is stored in a :class:`contextvars.ContextVar`, so only the async task
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tree of the current request (which inherits the context) forwards its logs —
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concurrent requests stay isolated. Logs emitted from ``thread_pool_exec``
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workers that did not inherit the context are simply skipped.
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"""
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from __future__ import annotations
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import contextvars
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import logging
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from typing import Callable
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# Per-request sink: a callable(str) that forwards one log line, or None when no
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# agentic turn is streaming in the current context.
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_think_log_sink: contextvars.ContextVar[Callable[[str], None] | None] = contextvars.ContextVar(
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"think_log_sink", default=None
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)
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# Only bracket-tagged INFO lines from these logger namespaces are surfaced.
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_SCOPED_PREFIXES = ("rag.advanced_rag", "rag.llm.chat_model", "rag.llm.tool_decorator")
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_installed = False
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class ThinkLogHandler(logging.Handler):
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"""Forward in-scope, bracket-tagged records to the active per-request sink."""
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def emit(self, record: logging.LogRecord) -> None:
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sink = _think_log_sink.get()
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if sink is None:
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return
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name = record.name or ""
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if not name.startswith(_SCOPED_PREFIXES):
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return
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try:
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msg = record.getMessage()
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except Exception:
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return
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# Only the bracket-tagged progress lines ("[Hybrid search] ...").
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if not msg or not msg.lstrip().startswith("["):
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return
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try:
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sink("<br>"+msg.strip())
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except Exception:
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# Never let think-log forwarding break the request or the logging
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# subsystem itself.
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pass
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def install_think_log_handler() -> None:
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"""Install the forwarding handler on the root logger exactly once."""
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global _installed
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if _installed:
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return
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handler = ThinkLogHandler(level=logging.INFO)
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logging.getLogger().addHandler(handler)
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_installed = True
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def set_think_log_sink(sink: Callable[[str], None] | None):
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"""Activate ``sink`` for the current context; returns the reset token."""
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return _think_log_sink.set(sink)
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def reset_think_log_sink(token) -> None:
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try:
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_think_log_sink.reset(token)
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except Exception:
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pass
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