feat: assistant IA — approbation groupee des actions, bloc d'etapes, refresh UI et bouton Stop (BUG-074, BUG-075, BUG-076, BUG-077)
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@@ -110,6 +110,12 @@ class BooksLMChatRequest(BaseModel):
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description="Conversation snapshot returned alongside a ``confirmation`` event, "
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"echoed back to resume the agent run.",
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)
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confirm_all: bool = Field(
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default=False,
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description="Global approval (BUG-075): apply every pending action of the batch "
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"and auto-approve the remaining mutating calls of the same run, "
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"so the run does not pause on each action.",
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)
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app_context: dict[str, Any] | None = Field(
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default=None,
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description="Live client UI state for the General assistant: open_documents, "
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@@ -506,9 +512,11 @@ async def api_bookslm_agent(
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Same context as ``/chat`` but the model may call tools (read/search the
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vault) through the shared tool layer. Emits one ``tool`` event per executed
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tool call, then a final ``message`` event. Mutating tools pause the run with
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a ``confirmation`` event (two-step propose/apply) carrying the pending call
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and the conversation snapshot; the client resumes by echoing them back in
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``confirm`` / ``confirm_messages``.
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a ``confirmation`` event (two-step propose/apply) carrying the pending
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``actions`` (every mutating call of the turn) and the conversation snapshot;
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the client resumes by echoing them back in ``confirm`` / ``confirm_messages``,
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optionally with ``confirm_all`` to apply the whole batch and auto-approve the
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rest of the run (BUG-075).
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"""
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_validate_vision_support(req)
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system_prompt = _resolve_system_prompt(req, current_user, agent=True)
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@@ -523,6 +531,10 @@ async def api_bookslm_agent(
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messages.append({"role": "user", "content": _build_user_content(req, vault_path)})
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ctx = ToolContext(user=current_user, mode=ToolMode.IN_APP)
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if req.confirm_all:
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# BUG-075: a single global approval authorizes the whole plan, so the
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# run no longer pauses on every subsequent mutating call.
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ctx.confirmed = True
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async def _llm(msgs, tool_schemas):
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return await chat_completion(
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