Merge branch 'main' into feat-volcengine-tuning
This commit is contained in:
@@ -1,6 +1,30 @@
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"""Configuration module for nanobot."""
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from nanobot.config.loader import get_config_path, load_config
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from nanobot.config.paths import (
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get_bridge_install_dir,
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get_cli_history_path,
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get_cron_dir,
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get_data_dir,
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get_legacy_sessions_dir,
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get_logs_dir,
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get_media_dir,
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get_runtime_subdir,
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get_workspace_path,
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)
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from nanobot.config.schema import Config
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__all__ = ["Config", "load_config", "get_config_path"]
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__all__ = [
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"Config",
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"load_config",
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"get_config_path",
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"get_data_dir",
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"get_runtime_subdir",
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"get_media_dir",
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"get_cron_dir",
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"get_logs_dir",
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"get_workspace_path",
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"get_cli_history_path",
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"get_bridge_install_dir",
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"get_legacy_sessions_dir",
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]
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@@ -6,17 +6,23 @@ from pathlib import Path
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from nanobot.config.schema import Config
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# Global variable to store current config path (for multi-instance support)
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_current_config_path: Path | None = None
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def set_config_path(path: Path) -> None:
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"""Set the current config path (used to derive data directory)."""
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global _current_config_path
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_current_config_path = path
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def get_config_path() -> Path:
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"""Get the default configuration file path."""
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"""Get the configuration file path."""
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if _current_config_path:
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return _current_config_path
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return Path.home() / ".nanobot" / "config.json"
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def get_data_dir() -> Path:
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"""Get the nanobot data directory."""
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from nanobot.utils.helpers import get_data_path
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return get_data_path()
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def load_config(config_path: Path | None = None) -> Config:
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"""
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Load configuration from file or create default.
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55
nanobot/config/paths.py
Normal file
55
nanobot/config/paths.py
Normal file
@@ -0,0 +1,55 @@
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"""Runtime path helpers derived from the active config context."""
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from __future__ import annotations
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from pathlib import Path
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from nanobot.config.loader import get_config_path
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from nanobot.utils.helpers import ensure_dir
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def get_data_dir() -> Path:
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"""Return the instance-level runtime data directory."""
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return ensure_dir(get_config_path().parent)
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def get_runtime_subdir(name: str) -> Path:
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"""Return a named runtime subdirectory under the instance data dir."""
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return ensure_dir(get_data_dir() / name)
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def get_media_dir(channel: str | None = None) -> Path:
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"""Return the media directory, optionally namespaced per channel."""
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base = get_runtime_subdir("media")
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return ensure_dir(base / channel) if channel else base
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def get_cron_dir() -> Path:
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"""Return the cron storage directory."""
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return get_runtime_subdir("cron")
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def get_logs_dir() -> Path:
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"""Return the logs directory."""
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return get_runtime_subdir("logs")
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def get_workspace_path(workspace: str | None = None) -> Path:
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"""Resolve and ensure the agent workspace path."""
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path = Path(workspace).expanduser() if workspace else Path.home() / ".nanobot" / "workspace"
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return ensure_dir(path)
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def get_cli_history_path() -> Path:
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"""Return the shared CLI history file path."""
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return Path.home() / ".nanobot" / "history" / "cli_history"
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def get_bridge_install_dir() -> Path:
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"""Return the shared WhatsApp bridge installation directory."""
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return Path.home() / ".nanobot" / "bridge"
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def get_legacy_sessions_dir() -> Path:
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"""Return the legacy global session directory used for migration fallback."""
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return Path.home() / ".nanobot" / "sessions"
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@@ -33,6 +33,7 @@ class TelegramConfig(Base):
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None # HTTP/SOCKS5 proxy URL, e.g. "http://127.0.0.1:7890" or "socks5://127.0.0.1:1080"
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)
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reply_to_message: bool = False # If true, bot replies quote the original message
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group_policy: Literal["open", "mention"] = "mention" # "mention" responds when @mentioned or replied to, "open" responds to all
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class FeishuConfig(Base):
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@@ -47,6 +48,7 @@ class FeishuConfig(Base):
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react_emoji: str = (
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"THUMBSUP" # Emoji type for message reactions (e.g. THUMBSUP, OK, DONE, SMILE)
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)
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group_policy: Literal["open", "mention"] = "mention" # "mention" responds when @mentioned, "open" responds to all
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class DingTalkConfig(Base):
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@@ -199,21 +201,14 @@ class QQConfig(Base):
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) # Allowed user openids (empty = public access)
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class MatrixConfig(Base):
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"""Matrix (Element) channel configuration."""
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class WecomConfig(Base):
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"""WeCom (Enterprise WeChat) AI Bot channel configuration."""
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enabled: bool = False
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homeserver: str = "https://matrix.org"
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access_token: str = ""
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user_id: str = "" # e.g. @bot:matrix.org
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device_id: str = ""
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e2ee_enabled: bool = True # end-to-end encryption support
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sync_stop_grace_seconds: int = 2 # graceful sync_forever shutdown timeout
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max_media_bytes: int = 20 * 1024 * 1024 # inbound + outbound attachment limit
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allow_from: list[str] = Field(default_factory=list)
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group_policy: Literal["open", "mention", "allowlist"] = "open"
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group_allow_from: list[str] = Field(default_factory=list)
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allow_room_mentions: bool = False
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bot_id: str = "" # Bot ID from WeCom AI Bot platform
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secret: str = "" # Bot Secret from WeCom AI Bot platform
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allow_from: list[str] = Field(default_factory=list) # Allowed user IDs
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welcome_message: str = "" # Welcome message for enter_chat event
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class ChannelsConfig(Base):
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@@ -231,6 +226,7 @@ class ChannelsConfig(Base):
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slack: SlackConfig = Field(default_factory=SlackConfig)
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qq: QQConfig = Field(default_factory=QQConfig)
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matrix: MatrixConfig = Field(default_factory=MatrixConfig)
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wecom: WecomConfig = Field(default_factory=WecomConfig)
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class AgentDefaults(Base):
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@@ -242,11 +238,18 @@ class AgentDefaults(Base):
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"auto" # Provider name (e.g. "anthropic", "openrouter") or "auto" for auto-detection
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)
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max_tokens: int = 8192
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context_window_tokens: int = 65_536
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temperature: float = 0.1
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max_tool_iterations: int = 40
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memory_window: int = 100
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# Deprecated compatibility field: accepted from old configs but ignored at runtime.
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memory_window: int | None = Field(default=None, exclude=True)
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reasoning_effort: str | None = None # low / medium / high — enables LLM thinking mode
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@property
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def should_warn_deprecated_memory_window(self) -> bool:
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"""Return True when old memoryWindow is present without contextWindowTokens."""
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return self.memory_window is not None and "context_window_tokens" not in self.model_fields_set
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class AgentsConfig(Base):
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"""Agent configuration."""
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@@ -266,6 +269,7 @@ class ProvidersConfig(Base):
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"""Configuration for LLM providers."""
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custom: ProviderConfig = Field(default_factory=ProviderConfig) # Any OpenAI-compatible endpoint
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azure_openai: ProviderConfig = Field(default_factory=ProviderConfig) # Azure OpenAI (model = deployment name)
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anthropic: ProviderConfig = Field(default_factory=ProviderConfig)
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openai: ProviderConfig = Field(default_factory=ProviderConfig)
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openrouter: ProviderConfig = Field(default_factory=ProviderConfig)
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@@ -283,10 +287,16 @@ class ProvidersConfig(Base):
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) # SiliconFlow (硅基流动) API gateway
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volcengine: ProviderConfig = Field(
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default_factory=ProviderConfig
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) # VolcEngine (火山引擎) pay-per-use
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volcengine_coding_plan: ProviderConfig = Field(default_factory=ProviderConfig) # VolcEngine Coding Plan
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byteplus: ProviderConfig = Field(default_factory=ProviderConfig) # BytePlus (火山引擎海外版) pay-per-use
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byteplus_coding_plan: ProviderConfig = Field(default_factory=ProviderConfig) # BytePlus Coding Plan
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) # VolcEngine (火山引擎) API gateway
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volcengine_coding_plan: ProviderConfig = Field(
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default_factory=ProviderConfig
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) # VolcEngine Coding Plan (火山引擎 Coding Plan)
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byteplus: ProviderConfig = Field(
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default_factory=ProviderConfig
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) # BytePlus (VolcEngine international)
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byteplus_coding_plan: ProviderConfig = Field(
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default_factory=ProviderConfig
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) # BytePlus Coding Plan
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openai_codex: ProviderConfig = Field(default_factory=ProviderConfig) # OpenAI Codex (OAuth)
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github_copilot: ProviderConfig = Field(default_factory=ProviderConfig) # Github Copilot (OAuth)
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@@ -388,16 +398,25 @@ class Config(BaseSettings):
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for spec in PROVIDERS:
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p = getattr(self.providers, spec.name, None)
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if p and model_prefix and normalized_prefix == spec.name:
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if spec.is_oauth or p.api_key:
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if spec.is_oauth or spec.is_local or p.api_key:
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return p, spec.name
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# Match by keyword (order follows PROVIDERS registry)
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for spec in PROVIDERS:
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p = getattr(self.providers, spec.name, None)
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if p and any(_kw_matches(kw) for kw in spec.keywords):
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if spec.is_oauth or p.api_key:
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if spec.is_oauth or spec.is_local or p.api_key:
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return p, spec.name
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# Fallback: configured local providers can route models without
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# provider-specific keywords (for example plain "llama3.2" on Ollama).
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for spec in PROVIDERS:
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if not spec.is_local:
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continue
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p = getattr(self.providers, spec.name, None)
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if p and p.api_base:
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return p, spec.name
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# Fallback: gateways first, then others (follows registry order)
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# OAuth providers are NOT valid fallbacks — they require explicit model selection
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for spec in PROVIDERS:
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@@ -424,7 +443,7 @@ class Config(BaseSettings):
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return p.api_key if p else None
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def get_api_base(self, model: str | None = None) -> str | None:
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"""Get API base URL for the given model. Applies default URLs for known gateways."""
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"""Get API base URL for the given model. Applies default URLs for gateway/local providers."""
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from nanobot.providers.registry import find_by_name
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p, name = self._match_provider(model)
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@@ -435,7 +454,7 @@ class Config(BaseSettings):
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# to avoid polluting the global litellm.api_base.
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if name:
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spec = find_by_name(name)
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if spec and spec.is_gateway and spec.default_api_base:
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if spec and (spec.is_gateway or spec.is_local) and spec.default_api_base:
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return spec.default_api_base
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return None
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