project/paperbench/paperbench/agents/aisi-basic-agent/_basic_agent_iterative.py [253:287]:
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                    if "PRUNE_INDIVIDUAL_MESSAGES" in str(e):
                        prune_individual = True
                except JSONDecodeError:
                    state.messages.append(ChatMessageUser(content="The JSON returned was invalid."))
                    continue

                if length_finish_error or state.output.stop_reason == "model_length":
                    logger.warning("context length overflow")
                    state.messages = prune_messages(
                        state.messages, prune_individual=prune_individual
                    )
                    continue

                # resolve tools calls (if any)
                if state.output.message.tool_calls:
                    # For each tool call, use timeout equal to the time remaining on this task
                    timeout = None
                    if real_time_limit is not None:
                        timeout = int(
                            real_time_limit - (time.time() - start_time - model.total_retry_time)
                        )

                    # call tool functions
                    try:
                        async with asyncio.timeout(timeout):
                            tool_results = await call_tools(
                                state.output.message, state.tools, max_output=max_tool_output
                            )
                    except asyncio.TimeoutError:
                        state.messages.append(
                            ChatMessageUser(content="Timeout: The tool call timed out.")
                        )
                        state.completed = True
                        break
                    state.messages.extend(tool_results)
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project/paperbench/paperbench/agents/aisi-basic-agent/_basic_agent_plus.py [254:290]:
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                    if "PRUNE_INDIVIDUAL_MESSAGES" in str(e):
                        prune_individual = True
                except JSONDecodeError:
                    state.messages.append(ChatMessageUser(content="The JSON returned was invalid."))
                    continue

                # Handle context length overflow by pruning messages
                if length_finish_error or state.output.stop_reason == "model_length":
                    logger.warning("context length overflow")
                    state.messages = prune_messages(
                        state.messages, prune_individual=prune_individual
                    )
                    continue

                # resolve tools calls (if any)
                if state.output.message.tool_calls:
                    # For each tool call, use timeout equal to the time remaining on this task
                    timeout = None
                    if real_time_limit is not None:
                        timeout = int(
                            real_time_limit - (time.time() - start_time - model.total_retry_time)
                        )

                    # call tool functions
                    try:
                        async with asyncio.timeout(timeout):
                            tool_results = await call_tools(
                                state.output.message, state.tools, max_output=max_tool_output
                            )
                    except asyncio.TimeoutError:
                        state.messages.append(
                            ChatMessageUser(content="Timeout: The tool call timed out.")
                        )
                        state.completed = True
                        break

                    state.messages.extend(tool_results)
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