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fix: preserve system prompt across tool calls when memories are enabled (#26857)
* fix: preserve system prompt across tool calls when memories are enabled The native tool-call loop runs generate_chat_completion with bypass_system_prompt=True, so the provider layer does not re-apply the model's default system prompt on tool-call iterations. It relies instead on metadata['system_prompt'], captured in process_chat_payload, to carry the full system prompt forward and restore it after RAG injection. That capture read the model default system prompt from form_data['params']['system'], but apply_params_to_form_data had already popped 'params' from form_data, so model_system_prompt was always empty. metadata['system_prompt'] therefore only captured whatever was already materialized in the messages. With memories enabled, that is the injected <memory_context> system message, so tool-call requests were restored with memory-only system content and the model's system prompt was dropped. Without memories there was no system message to capture at all. Capture the model default system prompt from form_data['params'] before apply_params_to_form_data pops it, and use that value when building metadata['system_prompt']. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_014Z4L51mvxDJCx1EDxP2vFN * refactor: condense system prompt capture comment to a single line Replace the four-line explanation above the model_system_prompt capture with a one-line note. The variable name and the surrounding code already convey what happens; the comment only needs to state why the capture sits before apply_params_to_form_data. --------- Co-authored-by: Claude <noreply@anthropic.com>
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1 changed files with 11 additions and 4 deletions
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@ -2268,6 +2268,9 @@ async def process_chat_payload(request, form_data, user, metadata, model):
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form_data['model'] = selected_model_id
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metadata['selected_model_id'] = selected_model_id
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# Captured before apply_params_to_form_data pops 'params'; feeds metadata['system_prompt'] below
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model_system_prompt = (form_data.get('params') or {}).get('system')
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form_data = apply_params_to_form_data(form_data, model)
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log.debug(f'form_data: {form_data}')
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@ -2920,13 +2923,17 @@ async def process_chat_payload(request, form_data, user, metadata, model):
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# than a snapshot that already has the RAG template baked in.
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system_message = get_system_message(form_data['messages'])
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system_content = get_content_from_message(system_message) if system_message else ''
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model_system_prompt = await resolve_system_prompt(
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(form_data.get('params') or {}).get('system'),
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resolved_model_system_prompt = await resolve_system_prompt(
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model_system_prompt,
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metadata,
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user,
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)
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if model_system_prompt:
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system_content = f'{model_system_prompt}\n{system_content}' if system_content else model_system_prompt
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if resolved_model_system_prompt:
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system_content = (
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f'{resolved_model_system_prompt}\n{system_content}'
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if system_content
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else resolved_model_system_prompt
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)
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metadata['system_prompt'] = system_content or None
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metadata['user_prompt'] = get_last_user_message(form_data['messages'])
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metadata['sources'] = sources[:] if sources else []
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