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"""Responses API 适配
Cursor GPT/Claude-Opus 等模型使用 /v1/responses 格式
本模块将 Responses 格式与 Chat Completions 格式互相转换
请求: Responses CC
响应: CC Responses非流式 + 流式
流式: 支持从 CC chunks Anthropic SSE 事件直接转换
"""
import json
import logging
from utils.http import gen_id
logger = logging.getLogger(__name__)
# ═══════════════════════════════════════════════════════════
# 请求转换: Responses → CC
# ═══════════════════════════════════════════════════════════
def responses_to_cc(payload):
"""将 /v1/responses 请求转换为 /v1/chat/completions 格式"""
messages = []
if payload.get('instructions'):
messages.append({'role': 'system', 'content': payload['instructions']})
input_data = payload.get('input', [])
if isinstance(input_data, str):
messages.append({'role': 'user', 'content': input_data})
elif isinstance(input_data, list):
_convert_input_items(input_data, messages)
result = {
'model': payload.get('model', ''),
'messages': messages,
'stream': payload.get('stream', False),
}
if 'tools' in payload:
result['tools'] = _convert_tools(payload['tools'])
for key in ('temperature', 'top_p'):
if key in payload:
result[key] = payload[key]
if 'max_output_tokens' in payload:
result['max_tokens'] = payload['max_output_tokens']
if 'tool_choice' in payload:
result['tool_choice'] = payload['tool_choice']
return result
# ═══════════════════════════════════════════════════════════
# 非流式响应转换: CC → Responses
# ═══════════════════════════════════════════════════════════
def cc_to_responses(cc_resp, model=''):
"""将 CC 响应转换为 Responses 格式"""
choice = (cc_resp.get('choices') or [{}])[0]
msg = choice.get('message') or {}
finish = choice.get('finish_reason', 'stop')
output = []
if msg.get('reasoning_content'):
output.append({
'type': 'reasoning',
'id': gen_id('rs_'),
'summary': [{'type': 'summary_text', 'text': msg['reasoning_content']}],
})
if msg.get('content'):
output.append({
'type': 'message',
'id': gen_id('msg_'),
'status': 'completed',
'role': 'assistant',
'content': [{'type': 'output_text', 'text': msg['content']}],
})
for tc in (msg.get('tool_calls') or []):
func = tc.get('function') or {}
output.append({
'type': 'function_call',
'id': gen_id('fc_'),
'status': 'completed',
'call_id': tc.get('id', gen_id('call_')),
'name': func.get('name', ''),
'arguments': func.get('arguments', '{}'),
})
usage = cc_resp.get('usage', {})
return {
'id': cc_resp.get('id', gen_id('resp_')),
'object': 'response',
'status': 'incomplete' if finish == 'length' else 'completed',
'model': model or cc_resp.get('model', ''),
'output': output,
'usage': {
'input_tokens': usage.get('prompt_tokens', 0),
'output_tokens': usage.get('completion_tokens', 0),
'total_tokens': usage.get('total_tokens', 0),
},
}
# ═══════════════════════════════════════════════════════════
# 流式转换器: CC chunks / Anthropic SSE → Responses SSE
# ═══════════════════════════════════════════════════════════
class ResponsesStreamConverter:
"""有状态转换器:将 CC 流式 chunk 或 Anthropic SSE 事件转为 Responses SSE 事件"""
def __init__(self, response_id=None, model=''):
self.resp_id = response_id or gen_id('resp_')
self.model = model
# 思考内容缓冲
self._rs_buf = ''
self._rs_started = False
self._rs_closed = False
self._rs_id = gen_id('rs_')
# 文本内容缓冲
self._text_buf = ''
self._text_started = False
self._text_closed = False
self._msg_id = gen_id('msg_')
# 工具调用缓冲 {index: {name, args, call_id, fc_id}}
self._tools = {}
self._output_items = []
self._finished = False
self._input_tokens = 0
# ─── 公开接口 ─────────────────────────────────
def start_events(self):
"""生成流开始事件"""
return [self._sse('response.created', {
'id': self.resp_id, 'object': 'response',
'status': 'in_progress', 'model': self.model, 'output': [],
})]
def process_cc_chunk(self, chunk):
"""处理 CC 格式的流式 chunk返回 Responses SSE 事件列表"""
events = []
for choice in (chunk.get('choices') or []):
delta = choice.get('delta') or {}
finish = choice.get('finish_reason')
if delta.get('reasoning_content'):
events.extend(self._on_reasoning(delta['reasoning_content']))
if delta.get('content') is not None and delta['content'] != '':
events.extend(self._on_text(delta['content']))
for tc in (delta.get('tool_calls') or []):
events.extend(self._on_tool_call(tc))
if finish and not self._finished:
self._finished = True
events.extend(self._do_finish(finish, chunk.get('usage')))
return events
def process_anthropic_event(self, event_type, event_data):
"""直接处理 Anthropic SSE 事件(跳过 CC 中间转换,更高效)"""
events = []
if event_type == 'message_start':
usage = event_data.get('message', {}).get('usage', {})
self._input_tokens = usage.get('input_tokens', 0)
elif event_type == 'content_block_start':
block = event_data.get('content_block', {})
btype = block.get('type', '')
if btype == 'thinking' and not self._rs_started:
self._rs_started = True
events.append(self._sse('response.output_item.added', {
'type': 'reasoning', 'id': self._rs_id, 'summary': [],
}))
elif btype == 'text':
events.extend(self._ensure_text_started())
elif btype == 'tool_use':
events.extend(self._start_tool_from_block(block))
elif event_type == 'content_block_delta':
delta = event_data.get('delta', {})
dtype = delta.get('type', '')
if dtype == 'thinking_delta' and delta.get('thinking'):
self._rs_buf += delta['thinking']
events.append(self._sse('response.reasoning_summary_text.delta', {
'type': 'summary_text', 'delta': delta['thinking'],
}))
elif dtype == 'text_delta' and delta.get('text'):
self._text_buf += delta['text']
events.append(self._sse('response.output_text.delta', {
'type': 'output_text', 'delta': delta['text'],
}))
elif dtype == 'input_json_delta' and delta.get('partial_json') and self._tools:
idx = max(self._tools.keys())
self._tools[idx]['args'] += delta['partial_json']
events.append(self._sse('response.function_call_arguments.delta', {
'type': 'function_call', 'delta': delta['partial_json'],
}))
elif event_type == 'message_delta':
delta = event_data.get('delta', {})
stop = delta.get('stop_reason', 'end_turn')
usage = event_data.get('usage', {})
finish = {'tool_use': 'tool_calls', 'max_tokens': 'length'}.get(stop, 'stop')
if not self._finished:
self._finished = True
u = {
'input_tokens': self._input_tokens,
'output_tokens': usage.get('output_tokens', 0),
'total_tokens': self._input_tokens + usage.get('output_tokens', 0),
}
events.extend(self._do_finish(finish, u))
return events
def finalize(self):
"""流结束时补发未关闭的事件"""
if self._finished:
return []
self._finished = True
return self._do_finish('stop', None)
# ─── 内部事件处理 ─────────────────────────────
def _on_reasoning(self, text):
"""处理思考内容 delta"""
events = []
if not self._rs_started:
self._rs_started = True
events.append(self._sse('response.output_item.added', {
'type': 'reasoning', 'id': self._rs_id, 'summary': [],
}))
self._rs_buf += text
events.append(self._sse('response.reasoning_summary_text.delta', {
'type': 'summary_text', 'delta': text,
}))
return events
def _on_text(self, text):
"""处理文本内容 delta"""
events = self._ensure_text_started()
self._text_buf += text
events.append(self._sse('response.output_text.delta', {
'type': 'output_text', 'delta': text,
}))
return events
def _on_tool_call(self, tc):
"""处理工具调用 delta"""
events = []
idx = tc.get('index', 0)
func = tc.get('function') or {}
if idx not in self._tools:
if self._rs_started and not self._rs_closed:
events.extend(self._close_reasoning())
if self._text_started and not self._text_closed:
events.extend(self._close_text())
call_id = tc.get('id', gen_id('call_'))
name = func.get('name', '')
fc_id = gen_id('fc_')
self._tools[idx] = {'name': name, 'args': '', 'call_id': call_id, 'fc_id': fc_id}
events.append(self._sse('response.output_item.added', {
'type': 'function_call', 'id': fc_id,
'status': 'in_progress', 'call_id': call_id,
'name': name, 'arguments': '',
}))
if func.get('name'):
self._tools[idx]['name'] = func['name']
if func.get('arguments', ''):
self._tools[idx]['args'] += func['arguments']
events.append(self._sse('response.function_call_arguments.delta', {
'type': 'function_call', 'delta': func['arguments'],
}))
return events
def _ensure_text_started(self):
"""确保文本输出项已开始"""
events = []
if self._rs_started and not self._rs_closed:
events.extend(self._close_reasoning())
if not self._text_started:
self._text_started = True
events.append(self._sse('response.output_item.added', {
'type': 'message', 'id': self._msg_id,
'status': 'in_progress', 'role': 'assistant', 'content': [],
}))
events.append(self._sse('response.content_part.added', {
'type': 'output_text', 'text': '',
}))
return events
def _start_tool_from_block(self, block):
"""从 Anthropic tool_use block 开始新的工具调用"""
events = []
if self._rs_started and not self._rs_closed:
events.extend(self._close_reasoning())
if self._text_started and not self._text_closed:
events.extend(self._close_text())
idx = len(self._tools)
tool_id = block.get('id', gen_id('toolu_'))
name = block.get('name', '')
fc_id = gen_id('fc_')
self._tools[idx] = {'name': name, 'args': '', 'call_id': tool_id, 'fc_id': fc_id}
events.append(self._sse('response.output_item.added', {
'type': 'function_call', 'id': fc_id,
'status': 'in_progress', 'call_id': tool_id,
'name': name, 'arguments': '',
}))
return events
# ─── 关闭/结束事件 ────────────────────────────
def _close_reasoning(self):
if self._rs_closed:
return []
self._rs_closed = True
rs = {
'type': 'reasoning', 'id': self._rs_id,
'summary': [{'type': 'summary_text', 'text': self._rs_buf}],
}
self._output_items.append(rs)
return [
self._sse('response.reasoning_summary_text.done', {
'type': 'summary_text', 'text': self._rs_buf,
}),
self._sse('response.output_item.done', rs),
]
def _close_text(self):
if self._text_closed:
return []
self._text_closed = True
msg = {
'type': 'message', 'id': self._msg_id,
'status': 'completed', 'role': 'assistant',
'content': [{'type': 'output_text', 'text': self._text_buf}],
}
self._output_items.append(msg)
return [
self._sse('response.output_text.done', {'type': 'output_text', 'text': self._text_buf}),
self._sse('response.output_item.done', msg),
]
def _do_finish(self, finish_reason, usage):
"""生成流结束的所有关闭事件"""
events = []
if self._rs_started and not self._rs_closed:
events.extend(self._close_reasoning())
if self._text_started and not self._text_closed:
events.extend(self._close_text())
for idx in sorted(self._tools.keys()):
buf = self._tools[idx]
events.append(self._sse('response.function_call_arguments.done', {
'type': 'function_call', 'arguments': buf['args'],
}))
fc = {
'type': 'function_call', 'id': buf['fc_id'],
'status': 'completed', 'call_id': buf['call_id'],
'name': buf['name'], 'arguments': buf['args'],
}
events.append(self._sse('response.output_item.done', fc))
self._output_items.append(fc)
usage_data = usage if isinstance(usage, dict) else {}
events.append(self._sse('response.completed', {
'id': self.resp_id, 'object': 'response',
'status': 'incomplete' if finish_reason == 'length' else 'completed',
'model': self.model, 'output': self._output_items, 'usage': usage_data,
}))
return events
def _sse(self, event_type, data):
"""构建 SSE 事件字符串"""
return f'event: {event_type}\ndata: {json.dumps(data, ensure_ascii=False)}\n\n'
# ═══════════════════════════════════════════════════════════
# 内部辅助函数
# ═══════════════════════════════════════════════════════════
def _convert_input_items(items, messages):
"""将 Responses input 数组转换为 CC messages"""
i = 0
while i < len(items):
item = items[i]
if isinstance(item, str):
messages.append({'role': 'user', 'content': item})
i += 1
continue
if not isinstance(item, dict):
i += 1
continue
item_type = item.get('type', '')
role = item.get('role', '')
# 简单角色消息(无 type 字段)
if role and not item_type:
content = item.get('content', '')
if isinstance(content, list):
content = _extract_text(content)
messages.append({'role': role, 'content': content or ''})
i += 1
continue
# Responses message 对象
if item_type == 'message' or (role and not item_type):
role = item.get('role', 'assistant')
content = _extract_text(item.get('content', []))
msg = {'role': role, 'content': content or ''}
if role == 'assistant':
tool_calls, consumed = _collect_function_calls(items, i + 1)
if tool_calls:
msg['tool_calls'] = tool_calls
if not msg['content']:
msg['content'] = None
messages.append(msg)
i += 1 + consumed
continue
messages.append(msg)
i += 1
continue
# function_call工具调用
if item_type == 'function_call':
tc = {
'id': item.get('call_id') or gen_id('call_'),
'type': 'function',
'function': {
'name': item.get('name', ''),
'arguments': item.get('arguments', '{}'),
},
}
if messages and messages[-1]['role'] == 'assistant':
messages[-1].setdefault('tool_calls', []).append(tc)
if not messages[-1].get('content'):
messages[-1]['content'] = None
else:
messages.append({'role': 'assistant', 'content': None, 'tool_calls': [tc]})
i += 1
continue
# function_call_output工具结果
if item_type == 'function_call_output':
output = item.get('output', '')
if not isinstance(output, str):
output = json.dumps(output, ensure_ascii=False)
messages.append({
'role': 'tool',
'tool_call_id': item.get('call_id', ''),
'content': output,
})
i += 1
continue
if role:
messages.append({'role': role, 'content': str(item.get('content', ''))})
i += 1
def _collect_function_calls(items, start):
"""收集紧随 assistant message 之后的连续 function_call 项"""
tool_calls = []
j = start
while j < len(items):
nxt = items[j]
if isinstance(nxt, dict) and nxt.get('type') == 'function_call':
tool_calls.append({
'id': nxt.get('call_id') or gen_id('call_'),
'type': 'function',
'function': {
'name': nxt.get('name', ''),
'arguments': nxt.get('arguments', '{}'),
},
})
j += 1
else:
break
return tool_calls, j - start
def _extract_text(content):
"""从 content 中提取纯文本"""
if isinstance(content, str):
return content
if not isinstance(content, list):
return str(content) if content else ''
texts = []
for part in content:
if isinstance(part, str):
texts.append(part)
elif isinstance(part, dict):
t = part.get('type', '')
if t in ('output_text', 'input_text', 'text'):
texts.append(part.get('text', ''))
elif t == 'refusal':
texts.append(part.get('refusal', ''))
return '\n'.join(texts) if texts else ''
def _convert_tools(tools):
"""将 Responses tools 转为 CC tools 格式"""
result = []
for t in tools:
if t.get('type') != 'function':
continue
if 'function' in t:
result.append(t)
else:
result.append({
'type': 'function',
'function': {
'name': t.get('name', ''),
'description': t.get('description', ''),
'parameters': t.get('parameters', {'type': 'object', 'properties': {}}),
},
})
return result