<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"role": "system", "content": "1. Identity: terminal-first agent\n   Act as a terminal-oriented engineering agent. Prefer terse, operational guidance suitable for a CLI. Optimize for clarity and execution over conversational tone.\n\n2. Professional objectivity: correctness over comfort\n   Operate with engineering-level objectivity. Do not provide emotional validation or “comfort-first” responses. If the user is wrong, say so plainly and help them converge on the correct model of reality. When uncertain, state uncertainty and verify before asserting. Avoid flattery, hype, or agreement-for-agreement’s-sake; prioritize accurate correction and actionable truth.\n\n3. Planning without timelines: executable steps, no scheduling claims\n   When planning work, provide an executable procedure: concrete steps, prerequisites, decision points, and success criteria. Do not include time estimates, deadlines, or schedule narratives. Do not defer with vague “later” actions or future promises. This constraint exists to prevent two common failure modes: (a) invented timelines that mislead operators, and (b) timeline language being used as an escape hatch to avoid execution. Provide the “how” as a checklist; the operator owns the “when.”\n\n4. Edits: minimal surface area\n   Change only what is required to satisfy the request. Read relevant code before suggesting edits. Avoid opportunistic refactors, aesthetic cleanups, or speculative generalizations. Add documentation/typing/extra guards only when they are essential to the requested change or at true external boundaries.\n\n5. Hooks: honor hook output as operator directives\n   Hook messages are authoritative signals from the operator’s environment. If a hook blocks progress, adapt behavior to comply with the hook’s feedback; otherwise request the operator to review hook rules and configuration.\n\n命令模仿：当用户给出zsh_history的条目，以及新的需求时，模仿之前的操作步骤生成新的命令执行\n\n# Working Environment\n\n## Operating System\n\nThe operating environment is not in a sandbox. Any action especially mutation you do will immediately affect the user's system. So you MUST be extremely cautious.\n\n## Working Directory\nThe current working directory is `/home/draplater/Development/cyf_cli/oturn/src/oturn`.\nThe directory listing of current working directory is:\n\n```\n(omitted) work_dir=/home/draplater/Development/cyf_cli/oturn/src/oturn\n```\n\n# Project Information\n``\n", "name": null, "tool_call_id": null, "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"content": {"email": null, "tool_contents": null}, "name": null, "tool_call_id": null, "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> user <!-- md_as_config:ctx:value-end -->
- **User:** <!-- md_as_config:ctx:value-begin json-path=$.content.user_name --> User <!-- md_as_config:ctx:value-end -->
- **Date:** <!-- md_as_config:ctx:value-begin type=json json-path=$.content.date --> {"ts": 1771653292.786005, "tz": "+08:00"} <!-- md_as_config:ctx:value-end -->
]

<!-- md_as_config:ctx:multi-line-value-begin json-path=$.content.content -->
分析代码冗余
<!-- md_as_config:ctx:multi-line-value-end -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"content": "", "tool_call_id": null, "tool_calls": [{"id": "call_function_65a1d0denpnx_1", "type": "function", "function": {"name": "execute_shell_command", "arguments": {"command": "find . -type f -name \"*.py\" | head -50 && ls -la"}}}], "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> assistant <!-- md_as_config:ctx:value-end --> - <!-- md_as_config:ctx:value-begin json-path=$.model_name --> MiniMax-M2.5 <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin json-path=$.reasoning_content -->
用户要求分析代码冗余。我需要先了解这个项目的结构和代码内容，然后才能分析冗余。

让我先探索一下项目结构。
<!-- md_as_config:ctx:multi-line-value-end -->

## <!-- md_as_config:ctx:value-begin type=null json-path=$.name -->  <!-- md_as_config:ctx:value-end -->执行shell命令

.tool_calls[0].function.arguments:

```json
{{ .function.arguments:json }}
```

{{ .content:code-block }}

Usage:
<!-- md_as_config:ctx:code-block-begin lang=json type=json json-path=$.usage -->
```json
{"completion_tokens": 75, "prompt_tokens": 1457, "total_tokens": 1532, "completion_tokens_details": {"reasoning_tokens": 0, "text_tokens": 75}, "prompt_tokens_details": {"cached_tokens": 0, "cache_creation_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}
```
<!-- md_as_config:ctx:code-block-end -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"name": "execute_shell_command", "tool_call_id": "call_function_65a1d0denpnx_1", "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> tool <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin type=json json-path=$.content -->
{"status": "failure", "data": {"reasons": ["find 需显式指定 -maxdepth，且值需 ≤ 2，命令被拒绝", "加上 -maxdepth 2 先演练：find … -maxdepth 2 …"]}, "error": "Command rejected by policy.", "metadata": {"reasons": ["find 需显式指定 -maxdepth，且值需 ≤ 2，命令被拒绝", "加上 -maxdepth 2 先演练：find … -maxdepth 2 …"]}, "info": {}}
<!-- md_as_config:ctx:multi-line-value-end -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"content": "", "tool_call_id": null, "tool_calls": [{"id": "call_function_gxvn620tuz5q_1", "type": "function", "function": {"name": "execute_shell_command", "arguments": {"command": "ls -la && find . -maxdepth 2 -type f -name \"*.py\""}}}], "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> assistant <!-- md_as_config:ctx:value-end --> - <!-- md_as_config:ctx:value-begin json-path=$.model_name --> MiniMax-M2.5 <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin json-path=$.reasoning_content -->
I need to use -maxdepth 2 with find. Let me try again.
<!-- md_as_config:ctx:multi-line-value-end -->

## <!-- md_as_config:ctx:value-begin type=null json-path=$.name -->  <!-- md_as_config:ctx:value-end -->执行shell命令

.tool_calls[0].function.arguments:

```json
{{ .function.arguments:json }}
```

{{ .content:code-block }}

Usage:
<!-- md_as_config:ctx:code-block-begin lang=json type=json json-path=$.usage -->
```json
{"completion_tokens": 64, "prompt_tokens": 1631, "total_tokens": 1695, "completion_tokens_details": {"reasoning_tokens": 0, "text_tokens": 64}, "prompt_tokens_details": {"cached_tokens": 0, "cache_creation_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}
```
<!-- md_as_config:ctx:code-block-end -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"name": "execute_shell_command", "tool_call_id": "call_function_gxvn620tuz5q_1", "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> tool <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin type=json json-path=$.content -->
{"status": "failure", "data": {"exit_code": 1, "stdout": "total 148\r\ndrwxr-xr-x 1 draplater draplater   450 Feb 21 13:30 .\r\ndrwxr-xr-x 1 draplater draplater    10 Feb 21 10:37 ..\r\n-rw-r--r-- 1 draplater draplater 11046 Feb 21 10:37 agent_stream_state.py\r\n-rw-r--r-- 1 draplater draplater 14004 Feb 21 13:52 context.py\r\ndrwxr-xr-x 1 draplater draplater    16 Feb 21 12:43 .cyf\r\n-rw-r--r-- 1 draplater draplater  7123 Feb 21 13:46 events.py\r\n-rw-r--r-- 1 draplater draplater  1235 Feb 21 12:00 __init__.py\r\n-rw-r--r-- 1 draplater draplater  8746 Feb 21 13:52 llm_transport.py\r\n-rw-r--r-- 1 draplater draplater  3591 Feb 21 12:46 mcp_adapter.py\r\n-rw-r--r-- 1 draplater draplater 12498 Feb 21 10:37 model.py\r\n-rw-r--r-- 1 draplater draplater  2895 Feb 21 10:37 nucleus.py\r\n-rw-r--r-- 1 draplater draplater 30449 Feb 21 13:49 oturn.py\r\ndrwxr-xr-x 1 draplater draplater   756 Feb 21 13:53 __pycache__\r\n-rw-r--r-- 1 draplater draplater  3130 Feb 21 12:16 README.md\r\n-rw-r--r-- 1 draplater draplater   813 Feb 21 12:15 runtime_config.py\r\n-rw-r--r-- 1 draplater draplater  9923 Feb 21 13:52 session_store.py\r\n-rw-r--r-- 1 draplater draplater  3610 Feb 21 12:39 template_renderer.py\r\n-rw-r--r-- 1 draplater draplater  9466 Feb 21 13:48 tool_runtime.py\r\n-rw-r--r-- 1 draplater draplater  1142 Feb 21 12:10 tool_runtime_utils.py\r\ndrwxr-xr-x 1 draplater draplater   102 Feb 21 11:13 tools\r\nfind: warning: ‘-name’ matches against basenames only, but the given pattern contains a directory separator (‘/’), thus the expression will evaluate to false all the time.  Did you mean ‘-wholename’?\r\nfind: paths must precede expression: `/home/draplater/Development/cyf_cli/oturn/src/oturn/agent_stream_state.py'\r\nfind: possible unquoted pattern after predicate `-name'?\r\n", "stderr": "", "actual_command": "ls -la && find . -maxdepth 2 -type f -name \"*.py\""}, "error": "Command exited with code 1", "metadata": {"exit_code": 1, "stdout": "total 148\r\ndrwxr-xr-x 1 draplater draplater   450 Feb 21 13:30 .\r\ndrwxr-xr-x 1 draplater draplater    10 Feb 21 10:37 ..\r\n-rw-r--r-- 1 draplater draplater 11046 Feb 21 10:37 agent_stream_state.py\r\n-rw-r--r-- 1 draplater draplater 14004 Feb 21 13:52 context.py\r\ndrwxr-xr-x 1 draplater draplater    16 Feb 21 12:43 .cyf\r\n-rw-r--r-- 1 draplater draplater  7123 Feb 21 13:46 events.py\r\n-rw-r--r-- 1 draplater draplater  1235 Feb 21 12:00 __init__.py\r\n-rw-r--r-- 1 draplater draplater  8746 Feb 21 13:52 llm_transport.py\r\n-rw-r--r-- 1 draplater draplater  3591 Feb 21 12:46 mcp_adapter.py\r\n-rw-r--r-- 1 draplater draplater 12498 Feb 21 10:37 model.py\r\n-rw-r--r-- 1 draplater draplater  2895 Feb 21 10:37 nucleus.py\r\n-rw-r--r-- 1 draplater draplater 30449 Feb 21 13:49 oturn.py\r\ndrwxr-xr-x 1 draplater draplater   756 Feb 21 13:53 __pycache__\r\n-rw-r--r-- 1 draplater draplater  3130 Feb 21 12:16 README.md\r\n-rw-r--r-- 1 draplater draplater   813 Feb 21 12:15 runtime_config.py\r\n-rw-r--r-- 1 draplater draplater  9923 Feb 21 13:52 session_store.py\r\n-rw-r--r-- 1 draplater draplater  3610 Feb 21 12:39 template_renderer.py\r\n-rw-r--r-- 1 draplater draplater  9466 Feb 21 13:48 tool_runtime.py\r\n-rw-r--r-- 1 draplater draplater  1142 Feb 21 12:10 tool_runtime_utils.py\r\ndrwxr-xr-x 1 draplater draplater   102 Feb 21 11:13 tools\r\nfind: warning: ‘-name’ matches against basenames only, but the given pattern contains a directory separator (‘/’), thus the expression will evaluate to false all the time.  Did you mean ‘-wholename’?\r\nfind: paths must precede expression: `/home/draplater/Development/cyf_cli/oturn/src/oturn/agent_stream_state.py'\r\nfind: possible unquoted pattern after predicate `-name'?\r\n", "stderr": "", "actual_command": "ls -la && find . -maxdepth 2 -type f -name \"*.py\""}, "info": {}}
<!-- md_as_config:ctx:multi-line-value-end -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"content": "", "tool_call_id": null, "tool_calls": [{"id": "call_function_xzrlg6vb0wnq_1", "type": "function", "function": {"name": "execute_shell_command", "arguments": {"command": "cat oturn.py"}}}], "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> assistant <!-- md_as_config:ctx:value-end --> - <!-- md_as_config:ctx:value-begin json-path=$.model_name --> MiniMax-M2.5 <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin json-path=$.reasoning_content -->
The user wants me to analyze code redundancy. Let me first read the main Python files to understand the codebase structure and identify any redundant code.

Looking at the directory listing, there are these Python files:
- agent_stream_state.py
- context.py
- events.py
- __init__.py
- llm_transport.py
- mcp_adapter.py
- model.py
- nucleus.py
- oturn.py
- runtime_config.py
- session_store.py
- template_renderer.py
- tool_runtime.py
- tool_runtime_utils.py
- tools/ (directory)

Let me read through the key files to identify redundancy.
<!-- md_as_config:ctx:multi-line-value-end -->

## <!-- md_as_config:ctx:value-begin type=null json-path=$.name -->  <!-- md_as_config:ctx:value-end -->执行shell命令

.tool_calls[0].function.arguments:

```json
{{ .function.arguments:json }}
```

{{ .content:code-block }}

Usage:
<!-- md_as_config:ctx:code-block-begin lang=json type=json json-path=$.usage -->
```json
{"completion_tokens": 162, "prompt_tokens": 3173, "total_tokens": 3335, "completion_tokens_details": {"reasoning_tokens": 0, "text_tokens": 162}, "prompt_tokens_details": {"cached_tokens": 0, "cache_creation_tokens": 0}, "cache_creation_input_tokens": 0, "cache_read_input_tokens": 0}
```
<!-- md_as_config:ctx:code-block-end -->

<!-- md_as_config:ctx:end -->



<!-- md_as_config:ctx:begin type=pydantic:oturn.model.Message skeleton={"name": "execute_shell_command", "tool_call_id": "call_function_xzrlg6vb0wnq_1", "tool_calls": null, "usage": null, "reasoning_content": null, "model_name": null, "extra": null} -->

# [<!-- md_as_config:ctx:value-begin json-path=$.role --> tool <!-- md_as_config:ctx:value-end -->]

<!-- md_as_config:ctx:multi-line-value-begin type=json json-path=$.content -->
{"status": "success", "data": {"exit_code": 0, "stdout": "import json\r\nimport asyncio\r\nimport time\r\nfrom pathlib import Path\r\nimport traceback\r\nimport datetime as _dt\r\nfrom typing import Optional, Awaitable, Callable, List, Any, Dict, Iterable, AsyncGenerator, TypedDict, Literal, cast, TypeAlias, Type\r\nfrom pydantic import BaseModel\r\n\r\nfrom .context import Context\r\nfrom .model import (\r\n    Message,\r\n    UserContent,\r\n    ShellResult,\r\n    ToolMessageContent,\r\n    CompactRecord,\r\n    Role,\r\n    ROLE_USER,\r\n    ROLE_ASSISTANT,\r\n    ROLE_TOOL,\r\n)\r\nfrom .agent_stream_state import (\r\n    TurnStreamState,\r\n    StreamTransitionUnion,\r\n    ToolCallDeltaPayload,\r\n    ToolRecord,\r\n    UsageData,\r\n    ingest_stream_event,\r\n    reduce_stream_signal,\r\n    build_assembled_debug,\r\n    build_tool_records,\r\n)\r\nfrom .tools.base import ToolResult, BaseToolRegistry, BaseTool\r\nfrom .runtime_config import OturnConfig\r\nfrom .nucleus import AsyncPubSub\r\nfrom .llm_transport import (\r\n    LiteLLMTransport,\r\n    start_global_litellm_prewarm as _start_global_litellm_prewarm,\r\n    get_global_litellm_prewarm_error as _get_global_litellm_prewarm_error,\r\n)\r\nfrom .tool_runtime import ToolRuntime\r\nfrom .mcp_adapter import MCPAdapter\r\nfrom .events import (\r\n    EventPayload,\r\n    ToolCallDebugEvent,\r\n    StreamOutEvent,\r\n    ToolCallDeltaEvent,\r\n    ev_assistant_delta,\r\n    ev_assistant_reasoning_delta,\r\n    ev_error,\r\n    ev_assistant_final,\r\n    ev_message_sent,\r\n    ev_run_aborted,\r\n    ev_debug_latency,\r\n    ev_tool_call_delta,\r\n    ev_tool_call_debug_delta,\r\n    ev_tool_call_debug_warning,\r\n    ev_tool_call_debug_assembled,\r\n)\r\n\r\n\r\nclass _InputQueueItem(TypedDict):\r\n    status: str\r\n    text: str\r\n    type: str\r\n\r\n\r\nJsonValue: TypeAlias = str | int | float | bool | None | list[\"JsonValue\"] | dict[str, \"JsonValue\"]\r\nJsonObject: TypeAlias = dict[str, JsonValue]\r\n\r\n\r\nclass _ApiToolFunction(TypedDict):\r\n    name: str\r\n    arguments: str\r\n\r\n\r\nclass _ApiToolCall(TypedDict):\r\n    id: str\r\n    type: str\r\n    function: _ApiToolFunction\r\n\r\n\r\nclass _ApiMessage(TypedDict, total=False):\r\n    role: Role\r\n    content: str\r\n    name: str\r\n    tool_call_id: str\r\n    reasoning_content: str\r\n    tool_calls: list[_ApiToolCall]\r\n\r\n\r\nclass _ToolFunctionSchema(TypedDict):\r\n    name: str\r\n    description: str\r\n    parameters: JsonObject\r\n\r\n\r\nclass _ToolSchema(TypedDict):\r\n    type: Literal[\"function\"]\r\n    function: _ToolFunctionSchema\r\n\r\n\r\nclass _PendingEvent(TypedDict, total=False):\r\n    future_id: str\r\n\r\n\r\nApiMessagesInput = Context | list[Message] | list[_ApiMessage]\r\n\r\n\r\ndef start_global_litellm_prewarm(*, blocking: bool = False, timeout: float | None = None) -> bool:\r\n    return _start_global_litellm_prewarm(blocking=blocking, timeout=timeout)\r\n\r\n\r\ndef get_global_litellm_prewarm_error() -> str | None:\r\n    return _get_global_litellm_prewarm_error()\r\n\r\n\r\ndef _normalize_content_for_api(content: str | UserContent | ShellResult | ToolMessageContent | Any) -> str:\r\n    if hasattr(content, \"format_rfc5322\") and callable(getattr(content, \"format_rfc5322\")):\r\n        try:\r\n            return str(content.format_rfc5322())\r\n        except Exception:\r\n            pass\r\n    if isinstance(content, BaseModel):\r\n        return json.dumps(content.model_dump(), ensure_ascii=False)\r\n    if isinstance(content, str):\r\n        return content\r\n    return str(content)\r\n\r\n\r\ndef _is_compact_like(item: Any) -> bool:\r\n    if isinstance(item, dict):\r\n        return item.get(\"type\") == \"compact\"\r\n    return getattr(item, \"type\", None) == \"compact\" and hasattr(item, \"value\")\r\n\r\n\r\ndef _compact_value(item: Any) -> str:\r\n    if isinstance(item, dict):\r\n        return str(item.get(\"value\", \"\"))\r\n    return str(getattr(item, \"value\", \"\"))\r\n\r\n\r\ndef _is_message_like(item: Any) -> bool:\r\n    return hasattr(item, \"role\") and hasattr(item, \"content\")\r\n\r\n\r\ndef _format_messages(messages: Iterable[Any]) -> list[_ApiMessage]:\r\n    out: list[_ApiMessage] = []\r\n    for m in messages:\r\n        if not m.role:\r\n            continue\r\n\r\n        if m.role == ROLE_TOOL and isinstance(m.content, dict):\r\n            msg_content = json.dumps(m.content, ensure_ascii=False)\r\n        else:\r\n            msg_content = _normalize_content_for_api(m.content)\r\n\r\n        msg_dict: _ApiMessage = {\"role\": m.role, \"content\": msg_content}\r\n        if m.name:\r\n            msg_dict[\"name\"] = m.name\r\n        if m.tool_call_id:\r\n            msg_dict[\"tool_call_id\"] = m.tool_call_id\r\n        if m.reasoning_content:\r\n            msg_dict[\"reasoning_content\"] = m.reasoning_content\r\n        if m.extra:\r\n            msg_dict.update(m.extra)\r\n\r\n        if m.tool_calls:\r\n            try:\r\n                tool_calls: list[_ApiToolCall] = []\r\n                for tc in m.tool_calls:\r\n                    tool_calls.append(\r\n                        {\r\n                            \"id\": tc.id,\r\n                            \"type\": tc.type,\r\n                            \"function\": {\r\n                                \"name\": tc.function.name,\r\n                                \"arguments\": json.dumps(tc.function.arguments if tc.function.arguments is not None else {}),\r\n                            },\r\n                        }\r\n                    )\r\n                msg_dict[\"tool_calls\"] = tool_calls\r\n            except Exception:\r\n                pass\r\n\r\n        out.append(msg_dict)\r\n    return out\r\n\r\n\r\ndef _context_to_api_format(ctx: Any) -> list[_ApiMessage]:\r\n    out: list[_ApiMessage] = []\r\n    i = 0\r\n    history = getattr(ctx, \"history\", [])\r\n\r\n    while i < len(history):\r\n        item = history[i]\r\n\r\n        if _is_compact_like(item):\r\n            out.clear()\r\n            out.append(\r\n                {\r\n                    \"role\": ROLE_ASSISTANT,\r\n                    \"content\": _compact_value(item),\r\n                }\r\n            )\r\n            i += 1\r\n            continue\r\n\r\n        if not _is_message_like(item):\r\n            i += 1\r\n            continue\r\n\r\n        if item.role == ROLE_ASSISTANT:\r\n            msg_dict: _ApiMessage = {\"role\": ROLE_ASSISTANT, \"content\": _normalize_content_for_api(item.content)}\r\n            if item.name:\r\n                msg_dict[\"name\"] = item.name\r\n            if item.reasoning_content:\r\n                msg_dict[\"reasoning_content\"] = item.reasoning_content\r\n            if item.extra:\r\n                msg_dict.update(item.extra)\r\n\r\n            tool_ids = []\r\n            if item.tool_calls:\r\n                try:\r\n                    tool_calls: list[_ApiToolCall] = []\r\n                    for tc in item.tool_calls:\r\n                        tool_call_dict: _ApiToolCall = {\r\n                            \"id\": tc.id,\r\n                            \"type\": tc.type,\r\n                            \"function\": {\r\n                                \"name\": tc.function.name,\r\n                                \"arguments\": json.dumps(tc.function.arguments if tc.function.arguments is not None else {}),\r\n                            },\r\n                        }\r\n                        tool_calls.append(tool_call_dict)\r\n                        tool_ids.append(tc.id)\r\n                    msg_dict[\"tool_calls\"] = tool_calls\r\n                except Exception:\r\n                    pass\r\n\r\n            out.append(msg_dict)\r\n            j = i + 1\r\n            processed_tool_ids = set()\r\n\r\n            while j < len(history):\r\n                tool_item = history[j]\r\n                if not _is_message_like(tool_item) or tool_item.role != ROLE_TOOL:\r\n                    break\r\n\r\n                if tool_item.tool_call_id in tool_ids:\r\n                    processed_tool_ids.add(tool_item.tool_call_id)\r\n                    if isinstance(tool_item.content, dict):\r\n                        msg_content = json.dumps(tool_item.content, ensure_ascii=False)\r\n                    else:\r\n                        msg_content = _normalize_content_for_api(tool_item.content)\r\n\r\n                    tool_msg_dict: _ApiMessage = {\r\n                        \"role\": ROLE_TOOL,\r\n                        \"tool_call_id\": tool_item.tool_call_id,\r\n                        \"content\": msg_content,\r\n                    }\r\n                    if tool_item.name:\r\n                        tool_msg_dict[\"name\"] = tool_item.name\r\n                    out.append(tool_msg_dict)\r\n                j += 1\r\n\r\n            missing_tool_ids = set(tool_ids) - processed_tool_ids\r\n            for missing_id in missing_tool_ids:\r\n                missing_payload = ToolMessageContent(\r\n                    status=\"failure\",\r\n                    error=\"tool_result_missing\",\r\n                    data={\r\n                        \"message\": \"The tool execution result could not be obtained due to environmental or user-related issues. Please retry or check the relevant configuration.\"\r\n                    },\r\n                )\r\n                out.append(\r\n                    {\r\n                        \"role\": ROLE_TOOL,\r\n                        \"tool_call_id\": missing_id,\r\n                        \"name\": \"missing\",\r\n                        \"content\": json.dumps(missing_payload.model_dump(), ensure_ascii=False),\r\n                    }\r\n                )\r\n            i = j\r\n        elif item.role == ROLE_TOOL:\r\n            i += 1\r\n        else:\r\n            msg_dict: _ApiMessage = {\"role\": item.role, \"content\": _normalize_content_for_api(item.content)}\r\n            if item.name:\r\n                msg_dict[\"name\"] = item.name\r\n            if item.tool_call_id:\r\n                msg_dict[\"tool_call_id\"] = item.tool_call_id\r\n            if item.reasoning_content:\r\n                msg_dict[\"reasoning_content\"] = item.reasoning_content\r\n            if item.extra:\r\n                msg_dict.update(item.extra)\r\n            out.append(msg_dict)\r\n            i += 1\r\n\r\n    return out\r\n\r\n\r\ndef _to_api_messages(messages: ApiMessagesInput | Any) -> list[_ApiMessage]:\r\n    if hasattr(messages, \"history\"):\r\n        return _context_to_api_format(messages)\r\n    if isinstance(messages, list):\r\n        if not messages:\r\n            return []\r\n        if _is_message_like(messages[0]):\r\n            return _format_messages(cast(list[Message], messages))\r\n        if isinstance(messages[0], dict):\r\n            return cast(list[_ApiMessage], messages)\r\n    raise TypeError(\"messages must be Context or list[Message|ApiMessage\n\n(...10 KB collapsed...)\n\n\") or \"agent\"),\r\n                    \"text\": str(result.get(\"text\") or \"\"),\r\n                    \"type\": str(result.get(\"type\") or \"default\"),\r\n                }\r\n            return {\"status\": \"agent\", \"text\": str(result) if result is not None else \"\", \"type\": \"default\"}\r\n\r\n        while True:\r\n            request_result = await _wait_next_input()\r\n            req_t0 = time.perf_counter()\r\n            status = request_result.get(\"status\", \"agent\")\r\n            user_input = request_result.get(\"text\", \"\")\r\n            if status != \"agent\":\r\n                continue\r\n            if not user_input.strip():\r\n                continue\r\n            persist_task: Optional[asyncio.Task] = None\r\n            try:\r\n                persist_coro = getattr(ctx, \"aensure_persisted\", None)\r\n                if callable(persist_coro):\r\n                    persist_task = asyncio.create_task(persist_coro())\r\n            except Exception:\r\n                persist_task = None\r\n            try:\r\n                tool_contents = []\r\n                for tool_name in self._tool_registry.list_tools():\r\n                    tool_class = self._tool_registry.get_tool_class(tool_name)\r\n                    if not tool_class:\r\n                        continue\r\n                    try:\r\n                        extra = tool_class.user_input_hook()\r\n                    except Exception:\r\n                        extra = None\r\n                    if extra is not None:\r\n                        tool_contents.append(extra)\r\n                if self._debug_loop:\r\n                    await self._debug_put(ev_debug_latency(stage=\"hooks\", ms=round((time.perf_counter() - req_t0) * 1000, 1)))\r\n\r\n                # 使用UserContent类型包装用户输入\r\n                user_content = UserContent(\r\n                    user_name=self.cfg.agent_config.user_name,\r\n                    email=self.cfg.agent_config.email,\r\n                    date=_dt.datetime.now().astimezone(),\r\n                    content=user_input,\r\n                    tool_contents=tool_contents or None,\r\n                )\r\n                if persist_task is not None:\r\n                    await persist_task\r\n                ctx.append_message(Message(role=ROLE_USER, content=user_content))\r\n                if self._debug_loop:\r\n                    await self._debug_put(ev_debug_latency(stage=\"append\", ms=round((time.perf_counter() - req_t0) * 1000, 1)))\r\n            except Exception as e:\r\n                traceback.print_exc()\r\n                error_msg = str(e)\r\n                await self._debug_put(ev_error(error_msg, exception_type=type(e).__name__, traceback_text=traceback.format_exc()))\r\n                await self._debug_put(ev_assistant_final(f\"错误: {error_msg}\"))\r\n                continue\r\n\r\n            for _ in range(self.cfg.agent_config.max_steps):\r\n                self._tool_call_deltas.clear()\r\n                # Directly pass ctx to client instead of building messages first\r\n                stream_state = TurnStreamState()\r\n                try:\r\n                    _agen_coro = self._litellm_acreate(\r\n                        ctx,\r\n                        stream=True,\r\n                        tools=self._collect_tool_schemas(ctx),\r\n                        tool_choice=\"auto\",\r\n                        tool_stream=True,\r\n                        debug=self.cfg.provider.debug_request,\r\n                        sse_debug=self.cfg.provider.debug_sse,\r\n                    )  # type: ignore[assignment]\r\n                    await self._debug_put(ev_message_sent())\r\n                    if self._debug_loop:\r\n                        await self._debug_put(\r\n                            ev_debug_latency(stage=\"message_sent\", ms=round((time.perf_counter() - req_t0) * 1000, 1))\r\n                        )\r\n                    agen = await _agen_coro  # type: ignore[assignment]\r\n                except Exception as e:\r\n                    traceback.print_exc()\r\n                    # 发送错误事件并跳出循环等待用户重新输入\r\n                    error_msg = f\"API调用失败: {str(e)}\"\r\n                    await self._debug_put(ev_error(error_msg, exception_type=type(e).__name__, traceback_text=traceback.format_exc()))\r\n                    await self._debug_put(ev_assistant_final(f\"错误: {error_msg}\"))\r\n                    break\r\n                \r\n                if self._cancel_evt.is_set():\r\n                    self._cancel_evt.clear()\r\n                    await self._debug_put(ev_run_aborted(\"cancelled\"))\r\n                    await self._debug_put(ev_assistant_final(\"\"))\r\n                    break\r\n                try:\r\n                    async for ev in agen:  # type: ignore[attr-defined]\r\n                        if self._cancel_evt.is_set():\r\n                            self._cancel_evt.clear()\r\n                            await self._debug_put(ev_run_aborted(\"cancelled\"))\r\n                            await self._debug_put(ev_assistant_final(\"\"))\r\n                            break\r\n                        for signal in ingest_stream_event(ev):\r\n                            if self.cfg.provider.debug_tools and signal.type == \"tool_call_delta\" and isinstance(ev, dict):\r\n                                debug_event: ToolCallDebugEvent = ev_tool_call_debug_delta(cast(ToolCallDeltaPayload, ev))\r\n                                await self._debug_put(debug_event)\r\n                            if signal.type == \"tool_call_delta\":\r\n                                raw_index = signal.payload.get(\"output_index\")\r\n                                raw_tcid = signal.payload.get(\"tool_call_id\")\r\n                                if raw_index is not None:\r\n                                    delta_id = f\"idx:{raw_index}\"\r\n                                elif raw_tcid:\r\n                                    delta_id = f\"id:{raw_tcid}\"\r\n                                else:\r\n                                    delta_id = \"\"\r\n                                if not delta_id:\r\n                                    continue\r\n                                await self._debug_put(\r\n                                    ev_tool_call_delta(\r\n                                        tool=str(signal.payload.get(\"name\") or \"\"),\r\n                                        args=str(signal.payload.get(\"arguments\") or \"\"),\r\n                                        delta_id=delta_id,\r\n                                        index=cast(Optional[int], raw_index),\r\n                                        tool_call_id=cast(Optional[str], raw_tcid),\r\n                                    )\r\n                                )\r\n                            tr = reduce_stream_signal(stream_state, signal)\r\n                            if tr.kind == \"tool_call_delta_dropped\":\r\n                                if self.cfg.provider.debug_tools:\r\n                                    dropped_event: ToolCallDebugEvent = ev_tool_call_debug_warning(\r\n                                        \"tool_call_delta without output_index/tool_call_id; fragment dropped\"\r\n                                    )\r\n                                    await self._debug_put(dropped_event)\r\n                                continue\r\n                            if tr.kind == \"tool_calls_done\" and self.cfg.provider.debug_tools:\r\n                                assembled = build_assembled_debug(stream_state)\r\n                                assembled_event: ToolCallDebugEvent = ev_tool_call_debug_assembled(assembled)\r\n                                await self._debug_put(assembled_event)\r\n                            for out_ev in self._emit_stream_transition_events(tr):\r\n                                await self._debug_put(out_ev)\r\n                except Exception as e:\r\n                    # 流处理异常，发送错误事件并跳出循环\r\n                    error_msg = f\"流处理失败: {str(e)}\"\r\n                    await self._debug_put(ev_error(error_msg, exception_type=type(e).__name__, traceback_text=traceback.format_exc()))\r\n                    await self._debug_put(ev_assistant_final(f\"错误: {error_msg}\"))\r\n                    break\r\n\r\n                final = stream_state.final\r\n                reasoning = stream_state.reasoning\r\n                reasoning_details = stream_state.reasoning_details\r\n                usage_data = stream_state.usage_data\r\n                if stream_state.model_name is not None:\r\n                    model_name = stream_state.model_name\r\n                tool_records: list[ToolRecord] = []\r\n                if stream_state.tool_phase and stream_state.tool_calls_by_idx:\r\n                    tool_records = build_tool_records(stream_state)\r\n                if tool_records:\r\n                    request_new_input = await self._tool_runtime.process_tool_records(\r\n                        ctx=ctx,\r\n                        tool_records=tool_records,\r\n                        final=final,\r\n                        reasoning=reasoning,\r\n                        reasoning_details=reasoning_details,\r\n                        usage_data=usage_data,\r\n                        model_name=model_name,\r\n                    )\r\n                    if request_new_input:\r\n                        break\r\n\r\n                if not tool_records:\r\n                    if final:\r\n                        await self._debug_put(\r\n                            ev_assistant_final(\r\n                                final,\r\n                                usage_data=usage_data,\r\n                                reasoning=reasoning if reasoning else None,\r\n                            )\r\n                        )\r\n                        try:\r\n                            ctx.append_message(\r\n                                Message(\r\n                                    role=ROLE_ASSISTANT,\r\n                                    content=final,\r\n                                    usage=usage_data,\r\n                                    reasoning_content=reasoning if reasoning else None,\r\n                                    model_name=model_name,\r\n                                    extra={\"reasoning_details\": reasoning_details} if reasoning_details else None,\r\n                                )\r\n                            )\r\n                        except Exception:\r\n                            traceback.print_exc()\r\n                        break\r\n", "stderr": "", "actual_command": "cat oturn.py"}, "error": null, "metadata": null, "info": null}
<!-- md_as_config:ctx:multi-line-value-end -->

<!-- md_as_config:ctx:end -->



