Files
openswarm/backend/apps/agents/tools/web.py
T
ciregenz ebea25f0c2 [eric] [eric] add PostHog analytics, 9Router subscription proxy, unified usage tracking
- PostHog integration: collector, analytics subapp, opt-in UI, Analytics page
  - 9Router: auto-start, OAuth subscription flow, /v1/messages Anthropic format support
  - Settings overhaul: multi-provider API keys, subscription connect UI, onboarding modal
  - Unified usage: merge 9Router cost/token data into Settings Usage tab
  - Provider system: providers/, agent_loop, tools/ (unused, for future non-Anthropic support)
  - Agent SDK: restored as primary with 9Router ANTHROPIC_BASE_URL fallback
  - Updated system prompt, credential resolution, dashboard analytics
2026-03-24 14:02:58 -07:00

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"""Web tools: WebSearch and WebFetch."""
from __future__ import annotations
import html
import re
from typing import Any
import httpx
from backend.apps.agents.tools.base import BaseTool, ToolContext
_MAX_OUTPUT_BYTES = 100 * 1024 # ~100 KB
_HTTP_TIMEOUT = 30 # seconds
_USER_AGENT = (
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
"AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36"
)
def _truncate(text: str, limit: int = _MAX_OUTPUT_BYTES) -> str:
if len(text) > limit:
return text[:limit] + "\n... (output truncated)"
return text
def _strip_html(raw_html: str) -> str:
"""Naive but effective HTML → plain-text conversion."""
# Remove script/style blocks
text = re.sub(r"<(script|style)[^>]*>.*?</\1>", "", raw_html, flags=re.DOTALL | re.IGNORECASE)
# Remove HTML tags
text = re.sub(r"<[^>]+>", " ", text)
# Decode HTML entities
text = html.unescape(text)
# Collapse whitespace
text = re.sub(r"[ \t]+", " ", text)
text = re.sub(r"\n{3,}", "\n\n", text)
return text.strip()
# ───────────────────────────────────────────────────────────────────────────
# WebSearchTool
# ───────────────────────────────────────────────────────────────────────────
class WebSearchTool(BaseTool):
name = "WebSearch"
description = (
"Search the web using DuckDuckGo and return titles, URLs, and "
"snippets for the top results."
)
def get_schema(self) -> dict:
return {
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "The search query.",
},
"num_results": {
"type": "integer",
"description": "Maximum number of results to return (default 5).",
"default": 5,
},
},
"required": ["query"],
"additionalProperties": False,
}
async def execute(self, input_data: dict, context: ToolContext) -> list[dict]:
query: str = input_data["query"]
num_results: int = input_data.get("num_results", 5)
try:
results = await self._search_ddg(query, num_results)
if not results:
return [{"type": "text", "text": f"No search results found for: {query}"}]
return [{"type": "text", "text": results}]
except Exception as exc:
return [{"type": "text", "text": f"Web search error: {exc}"}]
@staticmethod
async def _search_ddg(query: str, num_results: int) -> str:
"""Query DuckDuckGo HTML endpoint and parse results."""
async with httpx.AsyncClient(
timeout=_HTTP_TIMEOUT,
follow_redirects=True,
headers={"User-Agent": _USER_AGENT},
) as client:
resp = await client.post(
"https://html.duckduckgo.com/html/",
data={"q": query},
)
resp.raise_for_status()
body = resp.text
# Parse result blocks DuckDuckGo wraps each result in
# <div class="result ..."> ... </div>
result_blocks = re.findall(
r'<div[^>]*class="[^"]*result[^"]*"[^>]*>(.*?)</div>\s*(?=<div[^>]*class="[^"]*result|$)',
body,
flags=re.DOTALL,
)
entries: list[str] = []
for block in result_blocks:
if len(entries) >= num_results:
break
# Title + URL — handle both class-before-href and href-before-class
link_match = re.search(
r'<a[^>]*class="[^"]*result__a[^"]*"[^>]*href="([^"]*)"[^>]*>(.*?)</a>',
block,
flags=re.DOTALL,
)
if not link_match:
# Try reversed attribute order
link_match = re.search(
r'<a[^>]*href="([^"]*)"[^>]*class="[^"]*result__a[^"]*"[^>]*>(.*?)</a>',
block,
flags=re.DOTALL,
)
if not link_match:
continue
raw_url = html.unescape(link_match.group(1))
title = _strip_html(link_match.group(2)).strip()
# Snippet
snippet_match = re.search(
r'<a[^>]*class="[^"]*result__snippet[^"]*"[^>]*>(.*?)</a>',
block,
flags=re.DOTALL,
)
snippet = _strip_html(snippet_match.group(1)).strip() if snippet_match else ""
# DuckDuckGo wraps URLs through a redirect; try to extract the real URL
real_url_match = re.search(r"uddg=([^&]+)", raw_url)
if real_url_match:
from urllib.parse import unquote
url = unquote(real_url_match.group(1))
else:
url = raw_url
entry = f"[{len(entries) + 1}] {title}\n {url}"
if snippet:
entry += f"\n {snippet}"
entries.append(entry)
return "\n\n".join(entries)
# ───────────────────────────────────────────────────────────────────────────
# WebFetchTool
# ───────────────────────────────────────────────────────────────────────────
class WebFetchTool(BaseTool):
name = "WebFetch"
description = (
"Fetch the contents of a URL and return the extracted text. "
"HTML is stripped to plain text. Output is truncated to ~100 KB."
)
def get_schema(self) -> dict:
return {
"type": "object",
"properties": {
"url": {
"type": "string",
"description": "The URL to fetch.",
},
"prompt": {
"type": "string",
"description": "Optional prompt/context describing what information to look for.",
},
},
"required": ["url"],
"additionalProperties": False,
}
async def execute(self, input_data: dict, context: ToolContext) -> list[dict]:
url: str = input_data["url"]
prompt: str | None = input_data.get("prompt")
try:
async with httpx.AsyncClient(
timeout=_HTTP_TIMEOUT,
follow_redirects=True,
headers={"User-Agent": _USER_AGENT},
) as client:
resp = await client.get(url)
resp.raise_for_status()
except httpx.HTTPStatusError as exc:
return [{"type": "text", "text": f"HTTP error {exc.response.status_code} fetching {url}"}]
except Exception as exc:
return [{"type": "text", "text": f"Error fetching {url}: {exc}"}]
content_type = resp.headers.get("content-type", "")
if "html" in content_type or resp.text.strip().startswith("<!"):
text = _strip_html(resp.text)
else:
text = resp.text
text = _truncate(text)
header = f"Contents of {url}:"
if prompt:
header += f"\n(Looking for: {prompt})"
return [{"type": "text", "text": f"{header}\n\n{text}"}]