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feat: 添加swarms团队编排功能并优化agent委派系统

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- 引入AgentTeamOrchestrator支持多agent协同任务执行
- 增加第三方swarms库依赖并配置git协议替换以改善包管理
- 扩展DelegationManager支持团队任务调度和进度跟踪
- 实现中文bigram分词算法提升中文任务检索准确性
- 调整A2AClient和DelegationManager超时时间从30秒增至600秒
- 优化AgentRunResult状态判断逻辑增加有意义摘要检测
- 修改Dockerfile配置npm仓库镜像地址和git协议映射
- 更新CLI命令行接口支持网关端口配置传递
- 调整提供者超时配置机制增强请求稳定性
- 移除过时的support_group字段简化agent描述符结构
- 增强错误处理和进度事件报告机制改进用户体验
This commit is contained in:
steven_li
2026-04-14 14:34:23 +08:00
parent fee9007da6
commit cdfc222c9f
85 changed files with 5443 additions and 1392 deletions
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12
app-instance/backend/nanobot/providers/base.py
View File

@ -36,9 +36,19 @@ class LLMProvider(ABC):
while maintaining a consistent interface.
"""
def __init__(self, api_key: str | None = None, api_base: str | None = None):
def __init__(
self,
api_key: str | None = None,
api_base: str | None = None,
request_timeout_seconds: float | None = None,
):
self.api_key = api_key
self.api_base = api_base
self.request_timeout_seconds = (
max(1.0, float(request_timeout_seconds))
if request_timeout_seconds is not None
else None
)
@staticmethod
def _sanitize_empty_content(messages: list[dict[str, Any]]) -> list[dict[str, Any]]:

17
app-instance/backend/nanobot/providers/custom_provider.py
View File

@ -12,10 +12,20 @@ from nanobot.providers.base import LLMProvider, LLMResponse, ToolCallRequest
class CustomProvider(LLMProvider):
def __init__(self, api_key: str = "no-key", api_base: str = "http://localhost:8000/v1", default_model: str = "default"):
super().__init__(api_key, api_base)
def __init__(
self,
api_key: str = "no-key",
api_base: str = "http://localhost:8000/v1",
default_model: str = "default",
request_timeout_seconds: float | None = None,
):
super().__init__(api_key, api_base, request_timeout_seconds=request_timeout_seconds)
self.default_model = default_model
self._client = AsyncOpenAI(api_key=api_key, base_url=api_base)
self._client = AsyncOpenAI(
api_key=api_key,
base_url=api_base,
timeout=self.request_timeout_seconds,
)
async def chat(self, messages: list[dict[str, Any]], tools: list[dict[str, Any]] | None = None,
model: str | None = None, max_tokens: int = 4096, temperature: float = 0.7) -> LLMResponse:
@ -49,4 +59,3 @@ class CustomProvider(LLMProvider):
def get_default_model(self) -> str:
return self.default_model

7
app-instance/backend/nanobot/providers/litellm_provider.py
View File

@ -44,8 +44,9 @@ class LiteLLMProvider(LLMProvider):
default_model: str = "anthropic/claude-opus-4-5",
extra_headers: dict[str, str] | None = None,
provider_name: str | None = None,
request_timeout_seconds: float | None = None,
):
super().__init__(api_key, api_base)
super().__init__(api_key, api_base, request_timeout_seconds=request_timeout_seconds)
self.default_model = default_model
self.extra_headers = extra_headers or {}
@ -230,6 +231,9 @@ class LiteLLMProvider(LLMProvider):
# Pass extra headers (e.g. APP-Code for AiHubMix)
if self.extra_headers:
kwargs["extra_headers"] = self.extra_headers
if self.request_timeout_seconds is not None:
kwargs["timeout"] = self.request_timeout_seconds
if tools:
kwargs["tools"] = tools
@ -246,6 +250,7 @@ class LiteLLMProvider(LLMProvider):
"has_api_key": bool(self.api_key),
"temperature": kwargs.get("temperature"),
"max_tokens": kwargs.get("max_tokens"),
"timeout": kwargs.get("timeout"),
"tool_choice": kwargs.get("tool_choice"),
"message_count": len(sanitized_messages),
"messages": summarize_messages(sanitized_messages),

27
app-instance/backend/nanobot/providers/openai_codex_provider.py
View File

@ -20,8 +20,12 @@ DEFAULT_ORIGINATOR = "nanobot"
class OpenAICodexProvider(LLMProvider):
"""Use Codex OAuth to call the Responses API."""
def __init__(self, default_model: str = "openai-codex/gpt-5.1-codex"):
super().__init__(api_key=None, api_base=None)
def __init__(
self,
default_model: str = "openai-codex/gpt-5.1-codex",
request_timeout_seconds: float | None = None,
):
super().__init__(api_key=None, api_base=None, request_timeout_seconds=request_timeout_seconds)
self.default_model = default_model
async def chat(
@ -58,12 +62,24 @@ class OpenAICodexProvider(LLMProvider):
try:
try:
content, tool_calls, finish_reason = await _request_codex(url, headers, body, verify=True)
content, tool_calls, finish_reason = await _request_codex(
url,
headers,
body,
verify=True,
timeout_seconds=self.request_timeout_seconds or 600.0,
)
except Exception as e:
if "CERTIFICATE_VERIFY_FAILED" not in str(e):
raise
logger.warning("SSL certificate verification failed for Codex API; retrying with verify=False")
content, tool_calls, finish_reason = await _request_codex(url, headers, body, verify=False)
content, tool_calls, finish_reason = await _request_codex(
url,
headers,
body,
verify=False,
timeout_seconds=self.request_timeout_seconds or 600.0,
)
return LLMResponse(
content=content,
tool_calls=tool_calls,
@ -102,8 +118,9 @@ async def _request_codex(
headers: dict[str, str],
body: dict[str, Any],
verify: bool,
timeout_seconds: float,
) -> tuple[str, list[ToolCallRequest], str]:
async with httpx.AsyncClient(timeout=60.0, verify=verify) as client:
async with httpx.AsyncClient(timeout=timeout_seconds, verify=verify) as client:
async with client.stream("POST", url, headers=headers, json=body) as response:
if response.status_code != 200:
text = await response.aread()