Add Brave web search support
This commit is contained in:
@@ -14,7 +14,8 @@ from openai import AsyncOpenAI
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from app.ai.parser import AIInvocation
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from app.ai.prompts import PromptBook
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from app.ai.tools import FILE_TOOL_DISPATCH, FILE_TOOL_SCHEMAS, PYTHON_EXEC_SCHEMA
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from app.ai.tools import FILE_TOOL_DISPATCH, FILE_TOOL_SCHEMAS, PYTHON_EXEC_SCHEMA, WEB_SEARCH_SCHEMA
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from app.ai.web_search import BraveWebSearchClient, format_results
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from app.config import AIConfig, AIModelConfig, AIProviderConfig
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if TYPE_CHECKING:
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@@ -62,6 +63,7 @@ class AIService:
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self.prompt_book = PromptBook(config.prompt.root)
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self._clients: dict[str, AsyncOpenAI] = {}
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self._system_prompt: str | None = None
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self.web_search = BraveWebSearchClient(config.web_search)
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async def initialize(self) -> None:
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return None
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@@ -210,7 +212,10 @@ class AIService:
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return messages
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async def _build_tool_list(self) -> list[dict]:
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return FILE_TOOL_SCHEMAS + [PYTHON_EXEC_SCHEMA]
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tools = FILE_TOOL_SCHEMAS + [PYTHON_EXEC_SCHEMA]
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if self.web_search.available:
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tools.append(WEB_SEARCH_SCHEMA)
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return tools
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def _get_allowed_roots(self) -> tuple[Path, ...]:
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# [0] = base for resolution (project root); [1:] = permitted subdirs
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@@ -339,6 +344,9 @@ class AIService:
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try:
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if name == "python_exec":
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result = await self._execute_python_exec(arguments, ctx)
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elif name == "web_search":
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response = await self.web_search.search(arguments)
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result = format_results(response, include_heading=True)
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elif name == "send_file":
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result = await self._execute_send_file(arguments, ctx, allowed_roots)
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elif name in FILE_TOOL_DISPATCH:
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@@ -219,6 +219,60 @@ PYTHON_EXEC_SCHEMA: dict[str, Any] = {
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},
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}
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WEB_SEARCH_SCHEMA: dict[str, Any] = {
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"type": "function",
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"function": {
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"name": "web_search",
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"description": (
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"Search the web with Brave Search for current or source-backed information. "
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"Returns result titles, URLs, snippets, dates when available, and optional extra snippets."
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),
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"parameters": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "Search query, max 400 characters / 50 words.",
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},
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"count": {
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"type": "integer",
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"description": "Number of web results to return, 1-20.",
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"minimum": 1,
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"maximum": 20,
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},
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"country": {
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"type": "string",
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"description": "Two-letter result country code, e.g. US, PL, DE.",
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},
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"search_lang": {
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"type": "string",
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"description": "Search language code, e.g. en, pl, de.",
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},
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"ui_lang": {
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"type": "string",
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"description": "UI language for response metadata, e.g. en-US.",
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},
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"safesearch": {
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"type": "string",
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"enum": ["off", "moderate", "strict"],
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"description": "Adult content filtering level.",
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},
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"freshness": {
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"type": "string",
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"description": (
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"Optional recency filter: pd, pw, pm, py, or YYYY-MM-DDtoYYYY-MM-DD."
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),
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},
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"extra_snippets": {
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"type": "boolean",
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"description": "Include additional excerpts per result when available.",
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},
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},
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"required": ["query"],
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},
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},
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}
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ToolExecutor = Callable[[dict, tuple[Path, ...]], Awaitable[str]]
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FILE_TOOL_DISPATCH: dict[str, ToolExecutor] = {
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244
app/ai/web_search.py
Normal file
244
app/ai/web_search.py
Normal file
@@ -0,0 +1,244 @@
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from __future__ import annotations
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from dataclasses import dataclass, field
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import re
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from typing import Any
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import httpx
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from app.config import AIWebSearchConfig
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SAFESEARCH_VALUES = {"off", "moderate", "strict"}
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FRESHNESS_RE = re.compile(r"^(pd|pw|pm|py|\d{4}-\d{2}-\d{2}to\d{4}-\d{2}-\d{2})$")
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@dataclass(slots=True)
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class WebSearchQuery:
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query: str
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count: int
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offset: int
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country: str
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search_lang: str
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ui_lang: str
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safesearch: str
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freshness: str | None = None
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extra_snippets: bool = False
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@dataclass(slots=True)
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class WebSearchResult:
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title: str
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url: str
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description: str = ""
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age: str = ""
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page_age: str = ""
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extra_snippets: list[str] = field(default_factory=list)
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@dataclass(slots=True)
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class WebSearchResponse:
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query: str
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results: list[WebSearchResult]
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altered_query: str | None = None
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more_results_available: bool = False
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def clamp_int(value: Any, *, default: int, minimum: int, maximum: int) -> int:
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try:
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parsed = int(value)
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except (TypeError, ValueError):
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parsed = default
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return min(max(parsed, minimum), maximum)
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def sanitize_query(query: str) -> str:
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normalized = " ".join(str(query).split())
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if not normalized:
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raise ValueError("web_search: 'query' is required")
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words = normalized.split()
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if len(words) > 50:
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normalized = " ".join(words[:50])
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if len(normalized) > 400:
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normalized = normalized[:400].rstrip()
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if not normalized:
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raise ValueError("web_search: 'query' is required")
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return normalized
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def normalize_safesearch(value: Any, *, default: str) -> str:
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safesearch = str(value or default).strip().lower()
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if safesearch not in SAFESEARCH_VALUES:
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raise ValueError("web_search: 'safesearch' must be one of: off, moderate, strict")
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return safesearch
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def normalize_freshness(value: Any) -> str | None:
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if value is None:
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return None
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freshness = str(value).strip()
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if not freshness:
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return None
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if not FRESHNESS_RE.match(freshness):
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raise ValueError(
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"web_search: 'freshness' must be pd, pw, pm, py, or YYYY-MM-DDtoYYYY-MM-DD"
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)
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return freshness
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def build_query(config: AIWebSearchConfig, arguments: dict[str, Any]) -> WebSearchQuery:
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return WebSearchQuery(
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query=sanitize_query(str(arguments.get("query") or arguments.get("q") or "")),
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count=clamp_int(arguments.get("count"), default=config.count, minimum=1, maximum=20),
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offset=clamp_int(arguments.get("offset"), default=0, minimum=0, maximum=9),
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country=str(arguments.get("country") or config.country).strip().upper() or config.country,
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search_lang=str(arguments.get("search_lang") or config.search_lang).strip().lower()
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or config.search_lang,
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ui_lang=str(arguments.get("ui_lang") or config.ui_lang).strip() or config.ui_lang,
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safesearch=normalize_safesearch(arguments.get("safesearch"), default=config.safesearch),
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freshness=normalize_freshness(arguments.get("freshness")),
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extra_snippets=bool(arguments.get("extra_snippets", config.extra_snippets)),
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)
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def parse_response(query: str, payload: dict[str, Any]) -> WebSearchResponse:
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raw_query = payload.get("query") if isinstance(payload.get("query"), dict) else {}
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raw_web = payload.get("web") if isinstance(payload.get("web"), dict) else {}
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raw_results = raw_web.get("results") if isinstance(raw_web.get("results"), list) else []
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results: list[WebSearchResult] = []
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for item in raw_results:
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if not isinstance(item, dict):
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continue
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title = str(item.get("title") or "").strip()
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url = str(item.get("url") or "").strip()
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if not title and not url:
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continue
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snippets = item.get("extra_snippets")
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extra_snippets = [
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str(snippet).strip()
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for snippet in snippets
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if isinstance(snippet, str) and snippet.strip()
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] if isinstance(snippets, list) else []
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results.append(
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WebSearchResult(
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title=title or url,
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url=url,
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description=str(item.get("description") or "").strip(),
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age=str(item.get("age") or "").strip(),
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page_age=str(item.get("page_age") or "").strip(),
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extra_snippets=extra_snippets,
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)
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)
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altered = raw_query.get("altered") if isinstance(raw_query, dict) else None
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return WebSearchResponse(
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query=query,
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results=results,
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altered_query=str(altered).strip() if altered else None,
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more_results_available=bool(raw_query.get("more_results_available", False))
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if isinstance(raw_query, dict)
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else False,
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)
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def format_results(response: WebSearchResponse, *, include_heading: bool = True) -> str:
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lines: list[str] = []
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if include_heading:
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heading = f"Search results for: {response.query}"
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if response.altered_query:
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heading += f" (spellchecked: {response.altered_query})"
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lines.append(heading)
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if not response.results:
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lines.append("No results found.")
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return "\n".join(lines)
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for index, result in enumerate(response.results, start=1):
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lines.append(f"{index}. {result.title}")
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if result.url:
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lines.append(result.url)
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meta = result.age or result.page_age
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if meta:
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lines.append(f"Date: {meta}")
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if result.description:
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lines.append(result.description)
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for snippet in result.extra_snippets[:5]:
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lines.append(f"- {snippet}")
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lines.append("")
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if not lines[-1]:
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lines.pop()
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return "\n".join(lines)
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class BraveWebSearchClient:
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def __init__(self, config: AIWebSearchConfig) -> None:
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self.config = config
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@property
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def available(self) -> bool:
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return self.config.available
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async def search(self, arguments: dict[str, Any]) -> WebSearchResponse:
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if not self.config.enabled:
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raise ValueError("Brave web search is disabled")
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if not self.config.api_key:
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raise ValueError("Brave web search is not configured. Set BRAVE_API_KEY.")
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query = build_query(self.config, arguments)
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params: dict[str, Any] = {
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"q": query.query,
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"count": query.count,
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"offset": query.offset,
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"country": query.country,
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"search_lang": query.search_lang,
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"ui_lang": query.ui_lang,
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"safesearch": query.safesearch,
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"text_decorations": False,
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"spellcheck": True,
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}
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if query.freshness:
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params["freshness"] = query.freshness
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if query.extra_snippets:
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params["extra_snippets"] = True
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headers = {
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"Accept": "application/json",
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"Accept-Encoding": "gzip",
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"X-Subscription-Token": self.config.api_key,
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}
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try:
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async with httpx.AsyncClient(timeout=self.config.timeout) as client:
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response = await client.get(self.config.endpoint, params=params, headers=headers)
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except httpx.HTTPError as exc:
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raise ValueError(f"Brave web search request failed: {exc}") from exc
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if response.status_code >= 400:
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raise ValueError(_format_error_response(response))
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try:
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payload = response.json()
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except ValueError as exc:
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raise ValueError("Brave web search returned invalid JSON") from exc
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if not isinstance(payload, dict):
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raise ValueError("Brave web search returned an unexpected response")
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return parse_response(query.query, payload)
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def _format_error_response(response: httpx.Response) -> str:
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try:
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payload = response.json()
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except ValueError:
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return f"Brave web search failed with HTTP {response.status_code}: {response.text[:200]}"
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if isinstance(payload, dict):
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error = payload.get("error")
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if isinstance(error, dict):
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detail = error.get("detail") or error.get("message") or error.get("code")
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if detail:
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return f"Brave web search failed with HTTP {response.status_code}: {detail}"
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message = payload.get("message")
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if message:
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return f"Brave web search failed with HTTP {response.status_code}: {message}"
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return f"Brave web search failed with HTTP {response.status_code}"
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@@ -2,12 +2,14 @@ from __future__ import annotations
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import html
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import re
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import shlex
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from textwrap import wrap
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from typing import TYPE_CHECKING, Any
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from pyrogram import enums
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from app.ai import AIInvocation, parse_ai_invocation
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from app.ai.web_search import format_results
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from app.commands.core import CommandRegistry, normalize_command_name
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if TYPE_CHECKING:
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@@ -322,6 +324,67 @@ async def echo(ctx: "CommandContext") -> None:
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await ctx.reply(text)
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def _parse_search_args(text: str) -> dict[str, Any]:
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try:
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tokens = shlex.split(text)
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except ValueError:
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tokens = text.split()
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arguments: dict[str, Any] = {}
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query_parts: list[str] = []
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index = 0
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while index < len(tokens):
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token = tokens[index]
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if token == "--count":
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index += 1
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if index >= len(tokens):
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raise ValueError("Usage: .search / ..search [--count N] [--freshness pd|pw|pm|py|YYYY-MM-DDtoYYYY-MM-DD] <query>")
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arguments["count"] = tokens[index]
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elif token.startswith("--count="):
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arguments["count"] = token.split("=", 1)[1]
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elif token == "--freshness":
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index += 1
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if index >= len(tokens):
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raise ValueError("Usage: .search / ..search [--count N] [--freshness pd|pw|pm|py|YYYY-MM-DDtoYYYY-MM-DD] <query>")
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arguments["freshness"] = tokens[index]
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elif token.startswith("--freshness="):
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arguments["freshness"] = token.split("=", 1)[1]
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else:
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query_parts.append(token)
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index += 1
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query = " ".join(query_parts).strip()
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if not query:
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raise ValueError("Usage: .search / ..search [--count N] [--freshness pd|pw|pm|py|YYYY-MM-DDtoYYYY-MM-DD] <query>")
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arguments["query"] = query
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return arguments
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@command_registry.command(
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"search",
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"Search the web with Brave Search",
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usage=".search / ..search [--count N] [--freshness pd|pw|pm|py|YYYY-MM-DDtoYYYY-MM-DD] <query>",
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category="ai",
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).alias("web").shared()
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async def search(ctx: "CommandContext") -> None:
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ai_service = ctx.manager.ai_service
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if ai_service is None:
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await ctx.reply("Brave web search is not configured. Configure ai.web_search and BRAVE_API_KEY.")
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return
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if not ai_service.web_search.available:
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await ctx.reply("Brave web search is not configured. Set BRAVE_API_KEY.")
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return
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try:
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arguments = _parse_search_args(ctx.args)
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response = await ai_service.web_search.search(arguments)
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except ValueError as exc:
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await ctx.reply(str(exc))
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return
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await _reply_long(ctx, format_results(response, include_heading=True))
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@command_registry.command(
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"ai",
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"Ask a configurable AI model",
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@@ -60,6 +60,24 @@ class AIPromptConfig:
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user_template: str | None = None
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@dataclass(slots=True)
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class AIWebSearchConfig:
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enabled: bool = True
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api_key: str | None = None
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endpoint: str = "https://api.search.brave.com/res/v1/web/search"
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count: int = 5
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country: str = "US"
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search_lang: str = "en"
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ui_lang: str = "en-US"
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safesearch: str = "moderate"
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timeout: float = 10.0
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extra_snippets: bool = False
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@property
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def available(self) -> bool:
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return self.enabled and bool(self.api_key)
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@dataclass(slots=True)
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class AIConfig:
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default_model: str
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@@ -69,6 +87,7 @@ class AIConfig:
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models: dict[str, AIModelConfig] = field(default_factory=dict)
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workspace_dir: Path = field(default_factory=lambda: Path("workspace"))
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tool_max_rounds: int = 10
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web_search: AIWebSearchConfig = field(default_factory=AIWebSearchConfig)
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@dataclass(slots=True)
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@@ -127,6 +146,20 @@ def _parse_float(value: Any, *, field_name: str) -> float:
|
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raise ValueError(f"{field_name} must be a number") from exc
|
||||
|
||||
|
||||
def _parse_bool(value: Any, *, field_name: str) -> bool:
|
||||
if isinstance(value, bool):
|
||||
return value
|
||||
if isinstance(value, str):
|
||||
normalized = value.strip().lower()
|
||||
if normalized in {"1", "true", "yes", "on"}:
|
||||
return True
|
||||
if normalized in {"0", "false", "no", "off"}:
|
||||
return False
|
||||
if isinstance(value, int):
|
||||
return bool(value)
|
||||
raise ValueError(f"{field_name} must be a boolean")
|
||||
|
||||
|
||||
def _parse_mapping(value: Any, *, field_name: str) -> dict[str, Any]:
|
||||
if value is None:
|
||||
return {}
|
||||
@@ -135,6 +168,69 @@ def _parse_mapping(value: Any, *, field_name: str) -> dict[str, Any]:
|
||||
return value
|
||||
|
||||
|
||||
def _parse_web_search_config(raw_ai: dict[str, Any]) -> AIWebSearchConfig:
|
||||
raw = _parse_mapping(raw_ai.get("web_search"), field_name="ai.web_search")
|
||||
|
||||
enabled = _parse_bool(raw.get("enabled", True), field_name="ai.web_search.enabled")
|
||||
api_key = str(raw.get("api_key") or "").strip() or None
|
||||
endpoint = str(
|
||||
raw.get("endpoint") or "https://api.search.brave.com/res/v1/web/search"
|
||||
).strip()
|
||||
if not endpoint:
|
||||
raise ValueError("ai.web_search.endpoint is required")
|
||||
|
||||
count = _parse_int(raw.get("count", 5), field_name="ai.web_search.count")
|
||||
count = min(max(count, 1), 20)
|
||||
|
||||
country = str(raw.get("country", "US") or "US").strip().upper()
|
||||
search_lang = str(raw.get("search_lang", "en") or "en").strip().lower()
|
||||
ui_lang = str(raw.get("ui_lang", "en-US") or "en-US").strip()
|
||||
safesearch = str(raw.get("safesearch", "moderate") or "moderate").strip().lower()
|
||||
if safesearch not in {"off", "moderate", "strict"}:
|
||||
raise ValueError("ai.web_search.safesearch must be one of: off, moderate, strict")
|
||||
|
||||
timeout = _parse_float(raw.get("timeout", 10.0), field_name="ai.web_search.timeout")
|
||||
if timeout <= 0:
|
||||
raise ValueError("ai.web_search.timeout must be > 0")
|
||||
|
||||
extra_snippets = _parse_bool(
|
||||
raw.get("extra_snippets", False),
|
||||
field_name="ai.web_search.extra_snippets",
|
||||
)
|
||||
|
||||
env_api_key = os.environ.get("BRAVE_API_KEY")
|
||||
if env_api_key is not None:
|
||||
api_key = env_api_key.strip() or None
|
||||
if os.environ.get("BRAVE_SEARCH_COUNT") is not None:
|
||||
count = min(
|
||||
max(_parse_int(os.environ["BRAVE_SEARCH_COUNT"], field_name="BRAVE_SEARCH_COUNT"), 1),
|
||||
20,
|
||||
)
|
||||
if os.environ.get("BRAVE_SEARCH_COUNTRY") is not None:
|
||||
country = os.environ["BRAVE_SEARCH_COUNTRY"].strip().upper() or country
|
||||
if os.environ.get("BRAVE_SEARCH_LANG") is not None:
|
||||
search_lang = os.environ["BRAVE_SEARCH_LANG"].strip().lower() or search_lang
|
||||
if os.environ.get("BRAVE_SEARCH_UI_LANG") is not None:
|
||||
ui_lang = os.environ["BRAVE_SEARCH_UI_LANG"].strip() or ui_lang
|
||||
if os.environ.get("BRAVE_SEARCH_SAFESEARCH") is not None:
|
||||
safesearch = os.environ["BRAVE_SEARCH_SAFESEARCH"].strip().lower()
|
||||
if safesearch not in {"off", "moderate", "strict"}:
|
||||
raise ValueError("BRAVE_SEARCH_SAFESEARCH must be one of: off, moderate, strict")
|
||||
|
||||
return AIWebSearchConfig(
|
||||
enabled=enabled,
|
||||
api_key=api_key,
|
||||
endpoint=endpoint,
|
||||
count=count,
|
||||
country=country,
|
||||
search_lang=search_lang,
|
||||
ui_lang=ui_lang,
|
||||
safesearch=safesearch,
|
||||
timeout=timeout,
|
||||
extra_snippets=extra_snippets,
|
||||
)
|
||||
|
||||
|
||||
def _parse_accounts(raw_accounts: Any, *, default_api_id: int | None, default_api_hash: str | None, default_session_dir: Path) -> list[AccountConfig]:
|
||||
if raw_accounts is None:
|
||||
return []
|
||||
@@ -287,6 +383,8 @@ def _parse_ai_config(raw_ai: Any, *, root: Path) -> AIConfig | None:
|
||||
if tool_max_rounds < 1:
|
||||
raise ValueError("ai.tool_max_rounds must be >= 1")
|
||||
|
||||
web_search = _parse_web_search_config(raw_ai)
|
||||
|
||||
return AIConfig(
|
||||
default_model=default_model,
|
||||
context_messages=context_messages,
|
||||
@@ -295,6 +393,7 @@ def _parse_ai_config(raw_ai: Any, *, root: Path) -> AIConfig | None:
|
||||
models=models,
|
||||
workspace_dir=workspace_dir,
|
||||
tool_max_rounds=tool_max_rounds,
|
||||
web_search=web_search,
|
||||
)
|
||||
|
||||
|
||||
|
||||
Reference in New Issue
Block a user