Files
beaver_project/app-instance/backend/beaver/foundation/config/schema.py
steven_li 33a9845566 ```
feat(engine): 添加技能查看工具并优化异步任务管理

- 添加SkillViewTool到引擎加载器中,增强技能管理功能
- 在AgentLoop中引入_active_direct_task来跟踪活跃任务
- 实现直接任务执行时的同步处理逻辑
- 更新工具实例化方式以支持依赖注入

feat(config): 增加智能体运行时参数配置支持

- 扩展AgentDefaultsConfig添加max_tokens和temperature字段
- 实现配置解析函数_first_config_value处理多个配置源
- 支持通过Web API动态更新智能体运行时参数
- 添加前端页面配置表单和验证逻辑

refactor(provider): 统一最大令牌数参数类型为可选整型

- 将所有LLM提供者的max_tokens参数改为int | None类型
- 为AnthropicProvider实现模型特定的最大令牌数默认值
- 调整参数传递逻辑,优先级:调用参数 > 配置文件 > 模型默认值
- 移除硬编码的默认值,改用条件判断

feat(process): 增强事件投影功能

- 添加工具调用开始/结束事件的映射逻辑
- 实现技能激活事件的识别和展示
- 添加辅助函数处理工具调用名称和参数提取
- 优化运行记录关联逻辑,提升事件匹配准确性

fix(web): 更新网络请求客户端信任环境设置

- 将WebFetchTool和WebSearchTool的trust_env参数设为True
- 确保HTTP客户端能够正确使用系统代理配置
- 修复可能的网络连接问题

test: 添加配置加载和事件投影相关测试

- 新增智能体默认参数配置测试用例
- 实现API配置持久化和重载测试
- 添加技能卡片和工具事件的投影测试
```
2026-05-27 13:37:06 +08:00

223 lines
7.3 KiB
Python

"""Runtime configuration schema for Beaver sandbox instances."""
from __future__ import annotations
from dataclasses import dataclass, field
from pathlib import Path
from typing import Any
@dataclass(slots=True)
class ProviderConfig:
"""One configured LLM provider profile."""
api_key: str | None = None
api_base: str | None = None
extra_headers: dict[str, str] = field(default_factory=dict)
request_timeout_seconds: float | None = None
@dataclass(slots=True)
class AgentDefaultsConfig:
"""Default agent settings for this sandbox instance."""
workspace: str | None = None
model: str | None = None
provider: str | None = None
embedding_model: str | None = None
max_tokens: int | None = None
temperature: float | None = None
max_context_messages: int | None = None
max_tool_iterations: int | None = None
@dataclass(slots=True)
class EmbeddingConfig:
"""Optional dedicated embedding model settings."""
provider: str | None = None
model: str | None = None
api_key: str | None = None
api_base: str | None = None
extra_headers: dict[str, str] = field(default_factory=dict)
request_timeout_seconds: float | None = None
@dataclass(slots=True)
class MCPServerConfig:
"""One configured MCP server.
Transport is inferred from fields:
- command => local stdio MCP server
- url => remote streamable HTTP MCP server
"""
command: str = ""
args: list[str] = field(default_factory=list)
env: dict[str, str] = field(default_factory=dict)
url: str = ""
headers: dict[str, str] = field(default_factory=dict)
auth_mode: str = "none"
auth_audience: str = ""
auth_scopes: list[str] = field(default_factory=list)
tool_timeout: int = 30
sensitive: bool = False
kind: str = "online"
category: str = "online"
managed: bool = False
display_name: str = ""
source: str = "config"
@property
def transport(self) -> str:
return "stdio" if _clean(self.command) else "http"
@dataclass(slots=True)
class ToolsConfig:
"""Runtime tool configuration."""
restrict_to_workspace: bool = True
mcp_servers: dict[str, MCPServerConfig] = field(default_factory=dict)
@dataclass(slots=True)
class AuthzConfig:
"""External AuthZ service configuration."""
enabled: bool = False
base_url: str = ""
request_timeout_seconds: int = 10
outlook_mcp_url: str = ""
@dataclass(slots=True)
class BackendIdentityConfig:
"""This backend's AuthZ client identity."""
backend_id: str = ""
client_id: str = ""
client_secret: str = ""
name: str = ""
public_base_url: str = ""
@dataclass(slots=True)
class BeaverConfig:
"""Config loaded once per backend sandbox instance."""
agents_defaults: AgentDefaultsConfig = field(default_factory=AgentDefaultsConfig)
providers: dict[str, ProviderConfig] = field(default_factory=dict)
embedding: EmbeddingConfig = field(default_factory=EmbeddingConfig)
tools: ToolsConfig = field(default_factory=ToolsConfig)
authz: AuthzConfig = field(default_factory=AuthzConfig)
backend_identity: BackendIdentityConfig = field(default_factory=BackendIdentityConfig)
config_path: Path | None = None
@property
def default_model(self) -> str | None:
return _clean(self.agents_defaults.model)
@property
def default_embedding_model(self) -> str:
return _clean(self.embedding.model) or _clean(self.agents_defaults.embedding_model) or "text-embedding-v4"
def resolve_provider_target(
self,
*,
model: str | None = None,
provider_name: str | None = None,
) -> dict[str, Any]:
"""Resolve model/provider credentials from instance config.
Request-level model/provider overrides are allowed, but credentials are still
read from backend config, not from Web/channel payloads.
"""
resolved_model = _clean(model) or self.default_model
requested_provider = _clean(provider_name)
enabled_providers = self._enabled_provider_names()
resolved_provider = (
requested_provider
if requested_provider and requested_provider in enabled_providers
else self._infer_provider(resolved_model)
)
provider_cfg = self.providers.get(resolved_provider or "") if resolved_provider else None
payload: dict[str, Any] = {
"model": resolved_model,
"provider_name": resolved_provider,
}
if provider_cfg is not None:
payload.update(
{
"api_key": provider_cfg.api_key,
"api_base": provider_cfg.api_base,
"extra_headers": dict(provider_cfg.extra_headers),
"request_timeout_seconds": provider_cfg.request_timeout_seconds,
}
)
return {key: value for key, value in payload.items() if value not in (None, "", {})}
def resolve_embedding_target(self) -> dict[str, Any] | None:
"""Return an explicit embedding target when configured."""
has_explicit_embedding = any(
[
_clean(self.embedding.provider),
_clean(self.embedding.api_key),
_clean(self.embedding.api_base),
self.embedding.extra_headers,
self.embedding.request_timeout_seconds is not None,
]
)
if not has_explicit_embedding:
return None
provider_cfg = self.providers.get(_clean(self.embedding.provider) or "")
payload: dict[str, Any] = {
"provider": _clean(self.embedding.provider),
"model": self.default_embedding_model,
"api_key": _clean(self.embedding.api_key) or (provider_cfg.api_key if provider_cfg else None),
"api_base": _clean(self.embedding.api_base) or (provider_cfg.api_base if provider_cfg else None),
"extra_headers": self.embedding.extra_headers or (dict(provider_cfg.extra_headers) if provider_cfg else {}),
"request_timeout_seconds": self.embedding.request_timeout_seconds
or (provider_cfg.request_timeout_seconds if provider_cfg else None),
}
return {key: value for key, value in payload.items() if value not in (None, "", {})}
def _infer_provider(self, model: str | None) -> str | None:
configured_provider = _clean(self.agents_defaults.provider)
if configured_provider and configured_provider != "custom":
return configured_provider
if model and "/" in model:
prefix = model.split("/", 1)[0]
if prefix in self._enabled_provider_names():
return prefix
enabled_providers = self._enabled_provider_names()
if len(enabled_providers) == 1:
return enabled_providers[0]
return None
def _enabled_provider_names(self) -> list[str]:
return [
name
for name, provider in self.providers.items()
if name != "custom"
and any(
[
_clean(provider.api_key),
_clean(provider.api_base),
provider.extra_headers,
]
)
]
def _clean(value: str | None) -> str | None:
if value is None:
return None
value = str(value).strip()
return value or None