chore: lint and dead code
This commit is contained in:
@@ -1,740 +0,0 @@
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#!/usr/bin/env python3
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"""
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EventLoopNode WebSocket Demo
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Real LLM, real FileConversationStore, real EventBus.
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Streams EventLoopNode execution to a browser via WebSocket.
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Usage:
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cd /home/timothy/oss/hive/core
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python demos/event_loop_wss_demo.py
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Then open http://localhost:8765 in your browser.
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"""
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import asyncio
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import json
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import logging
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import sys
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import tempfile
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from http import HTTPStatus
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from pathlib import Path
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import httpx
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import websockets
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from bs4 import BeautifulSoup
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from websockets.http11 import Request, Response
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# Add core, tools, and hive root to path
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_CORE_DIR = Path(__file__).resolve().parent.parent
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_HIVE_DIR = _CORE_DIR.parent
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sys.path.insert(0, str(_CORE_DIR)) # framework.*
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sys.path.insert(0, str(_HIVE_DIR / "tools" / "src")) # aden_tools.*
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sys.path.insert(0, str(_HIVE_DIR)) # core.framework.* (for aden_tools imports)
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import os # noqa: E402
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from aden_tools.credentials import CREDENTIAL_SPECS, CredentialStoreAdapter # noqa: E402
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from core.framework.credentials import CredentialStore # noqa: E402
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from framework.credentials.storage import ( # noqa: E402
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CompositeStorage,
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EncryptedFileStorage,
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EnvVarStorage,
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)
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from framework.graph.event_loop_node import EventLoopNode, LoopConfig # noqa: E402
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from framework.graph.node import NodeContext, NodeSpec, SharedMemory # noqa: E402
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from framework.llm.litellm import LiteLLMProvider # noqa: E402
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from framework.llm.provider import Tool # noqa: E402
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from framework.runner.tool_registry import ToolRegistry # noqa: E402
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from framework.runtime.core import Runtime # noqa: E402
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from framework.runtime.event_bus import EventBus, EventType # noqa: E402
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from framework.storage.conversation_store import FileConversationStore # noqa: E402
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logging.basicConfig(level=logging.INFO, format="%(asctime)s %(name)s %(message)s")
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logger = logging.getLogger("demo")
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# -------------------------------------------------------------------------
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# Persistent state (shared across WebSocket connections)
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# -------------------------------------------------------------------------
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STORE_DIR = Path(tempfile.mkdtemp(prefix="hive_demo_"))
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STORE = FileConversationStore(STORE_DIR / "conversation")
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RUNTIME = Runtime(STORE_DIR / "runtime")
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LLM = LiteLLMProvider(model="claude-sonnet-4-5-20250929")
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# -------------------------------------------------------------------------
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# Tool Registry — real tools via ToolRegistry (same pattern as GraphExecutor)
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# -------------------------------------------------------------------------
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TOOL_REGISTRY = ToolRegistry()
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# Credential store: Aden sync (OAuth2 tokens) + encrypted files + env var fallback
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_env_mapping = {name: spec.env_var for name, spec in CREDENTIAL_SPECS.items()}
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_local_storage = CompositeStorage(
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primary=EncryptedFileStorage(),
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fallbacks=[EnvVarStorage(env_mapping=_env_mapping)],
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)
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if os.environ.get("ADEN_API_KEY"):
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try:
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from framework.credentials.aden import ( # noqa: E402
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AdenCachedStorage,
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AdenClientConfig,
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AdenCredentialClient,
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AdenSyncProvider,
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)
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_client = AdenCredentialClient(AdenClientConfig(base_url="https://api.adenhq.com"))
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_provider = AdenSyncProvider(client=_client)
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_storage = AdenCachedStorage(
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local_storage=_local_storage,
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aden_provider=_provider,
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)
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_cred_store = CredentialStore(storage=_storage, providers=[_provider], auto_refresh=True)
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_synced = _provider.sync_all(_cred_store)
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logger.info("Synced %d credentials from Aden", _synced)
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except Exception as e:
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logger.warning("Aden sync unavailable: %s", e)
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_cred_store = CredentialStore(storage=_local_storage)
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else:
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logger.info("ADEN_API_KEY not set, using local credential storage")
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_cred_store = CredentialStore(storage=_local_storage)
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CREDENTIALS = CredentialStoreAdapter(_cred_store)
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# Debug: log which credentials resolved
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for _name in ["brave_search", "hubspot", "anthropic"]:
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_val = CREDENTIALS.get(_name)
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if _val:
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logger.debug("credential %s: OK (len=%d)", _name, len(_val))
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else:
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logger.debug("credential %s: not found", _name)
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# --- web_search (Brave Search API) ---
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TOOL_REGISTRY.register(
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name="web_search",
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tool=Tool(
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name="web_search",
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description=(
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"Search the web for current information. "
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"Returns titles, URLs, and snippets from search results."
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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": "The search query (1-500 characters)",
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},
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"num_results": {
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"type": "integer",
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"description": "Number of results to return (1-20, default 10)",
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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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executor=lambda inputs: _exec_web_search(inputs),
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)
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def _exec_web_search(inputs: dict) -> dict:
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api_key = CREDENTIALS.get("brave_search")
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if not api_key:
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return {"error": "brave_search credential not configured"}
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query = inputs.get("query", "")
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num_results = min(inputs.get("num_results", 10), 20)
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resp = httpx.get(
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"https://api.search.brave.com/res/v1/web/search",
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params={"q": query, "count": num_results},
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headers={"X-Subscription-Token": api_key, "Accept": "application/json"},
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timeout=30.0,
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)
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if resp.status_code != 200:
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return {"error": f"Brave API HTTP {resp.status_code}"}
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data = resp.json()
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results = [
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{
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"title": item.get("title", ""),
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"url": item.get("url", ""),
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"snippet": item.get("description", ""),
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}
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for item in data.get("web", {}).get("results", [])[:num_results]
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]
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return {"query": query, "results": results, "total": len(results)}
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# --- web_scrape (httpx + BeautifulSoup, no playwright for sync compat) ---
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TOOL_REGISTRY.register(
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name="web_scrape",
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tool=Tool(
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name="web_scrape",
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description=(
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"Scrape and extract text content from a webpage URL. "
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"Returns the page title and main text content."
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),
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parameters={
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"type": "object",
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"properties": {
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"url": {
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"type": "string",
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"description": "URL of the webpage to scrape",
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},
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"max_length": {
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"type": "integer",
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"description": "Maximum text length (default 50000)",
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},
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},
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"required": ["url"],
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},
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),
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executor=lambda inputs: _exec_web_scrape(inputs),
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)
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_SCRAPE_HEADERS = {
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"User-Agent": (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/131.0.0.0 Safari/537.36"
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),
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"Accept": "text/html,application/xhtml+xml",
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}
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def _exec_web_scrape(inputs: dict) -> dict:
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url = inputs.get("url", "")
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max_length = max(1000, min(inputs.get("max_length", 50000), 500000))
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if not url.startswith(("http://", "https://")):
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url = "https://" + url
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try:
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resp = httpx.get(url, timeout=30.0, follow_redirects=True, headers=_SCRAPE_HEADERS)
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if resp.status_code != 200:
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return {"error": f"HTTP {resp.status_code}"}
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soup = BeautifulSoup(resp.text, "html.parser")
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for tag in soup(["script", "style", "nav", "footer", "header", "aside", "noscript"]):
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tag.decompose()
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title = soup.title.get_text(strip=True) if soup.title else ""
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main = (
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soup.find("article")
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or soup.find("main")
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or soup.find(attrs={"role": "main"})
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or soup.find("body")
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)
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text = main.get_text(separator=" ", strip=True) if main else ""
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text = " ".join(text.split())
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if len(text) > max_length:
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text = text[:max_length] + "..."
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return {"url": url, "title": title, "content": text, "length": len(text)}
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except httpx.TimeoutException:
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return {"error": "Request timed out"}
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except Exception as e:
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return {"error": f"Scrape failed: {e}"}
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# --- HubSpot CRM tools (optional, requires HUBSPOT_ACCESS_TOKEN) ---
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_HUBSPOT_API = "https://api.hubapi.com"
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def _hubspot_headers() -> dict | None:
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token = CREDENTIALS.get("hubspot")
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if token:
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logger.debug("HubSpot token: %s...%s (len=%d)", token[:8], token[-4:], len(token))
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else:
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logger.debug("HubSpot token: not found")
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if not token:
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return None
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return {
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"Authorization": f"Bearer {token}",
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"Content-Type": "application/json",
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"Accept": "application/json",
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}
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def _exec_hubspot_search(inputs: dict) -> dict:
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headers = _hubspot_headers()
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if not headers:
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return {"error": "HUBSPOT_ACCESS_TOKEN not set"}
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object_type = inputs.get("object_type", "contacts")
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query = inputs.get("query", "")
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limit = min(inputs.get("limit", 10), 100)
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body: dict = {"limit": limit}
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if query:
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body["query"] = query
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try:
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resp = httpx.post(
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f"{_HUBSPOT_API}/crm/v3/objects/{object_type}/search",
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headers=headers,
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json=body,
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timeout=30.0,
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)
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if resp.status_code != 200:
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return {"error": f"HubSpot API HTTP {resp.status_code}: {resp.text[:200]}"}
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return resp.json()
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except httpx.TimeoutException:
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return {"error": "Request timed out"}
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except Exception as e:
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return {"error": f"HubSpot error: {e}"}
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TOOL_REGISTRY.register(
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name="hubspot_search",
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tool=Tool(
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name="hubspot_search",
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description=(
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"Search HubSpot CRM objects (contacts, companies, or deals). "
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"Returns matching records with their properties."
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),
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parameters={
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"type": "object",
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"properties": {
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"object_type": {
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"type": "string",
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"description": "CRM object type: 'contacts', 'companies', or 'deals'",
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},
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"query": {
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"type": "string",
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"description": "Search query (name, email, domain, etc.)",
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},
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"limit": {
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"type": "integer",
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"description": "Max results (1-100, default 10)",
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},
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},
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"required": ["object_type"],
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},
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),
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executor=lambda inputs: _exec_hubspot_search(inputs),
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)
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logger.info(
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"ToolRegistry loaded: %s",
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", ".join(TOOL_REGISTRY.get_registered_names()),
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)
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# -------------------------------------------------------------------------
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# HTML page (embedded)
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# -------------------------------------------------------------------------
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HTML_PAGE = ( # noqa: E501
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"""<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="utf-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>EventLoopNode Live Demo</title>
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<style>
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* { box-sizing: border-box; margin: 0; padding: 0; }
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body {
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font-family: 'SF Mono', 'Fira Code', monospace;
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background: #0d1117; color: #c9d1d9;
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height: 100vh; display: flex; flex-direction: column;
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}
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header {
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background: #161b22; padding: 12px 20px;
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border-bottom: 1px solid #30363d;
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display: flex; align-items: center; gap: 16px;
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}
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header h1 { font-size: 16px; color: #58a6ff; font-weight: 600; }
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.status {
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font-size: 12px; padding: 3px 10px; border-radius: 12px;
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background: #21262d; color: #8b949e;
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}
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.status.running { background: #1a4b2e; color: #3fb950; }
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.status.done { background: #1a3a5c; color: #58a6ff; }
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.status.error { background: #4b1a1a; color: #f85149; }
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.chat { flex: 1; overflow-y: auto; padding: 16px; }
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.msg {
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margin: 8px 0; padding: 10px 14px; border-radius: 8px;
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line-height: 1.6; white-space: pre-wrap; word-wrap: break-word;
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}
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.msg.user { background: #1a3a5c; color: #58a6ff; }
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.msg.assistant { background: #161b22; color: #c9d1d9; }
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.msg.event {
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background: transparent; color: #8b949e; font-size: 11px;
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padding: 4px 14px; border-left: 3px solid #30363d;
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}
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.msg.event.loop { border-left-color: #58a6ff; }
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.msg.event.tool { border-left-color: #d29922; }
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.msg.event.stall { border-left-color: #f85149; }
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.input-bar {
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padding: 12px 16px; background: #161b22;
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border-top: 1px solid #30363d; display: flex; gap: 8px;
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}
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.input-bar input {
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flex: 1; background: #0d1117; border: 1px solid #30363d;
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color: #c9d1d9; padding: 8px 12px; border-radius: 6px;
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font-family: inherit; font-size: 14px; outline: none;
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}
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.input-bar input:focus { border-color: #58a6ff; }
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.input-bar button {
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background: #238636; color: #fff; border: none;
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padding: 8px 20px; border-radius: 6px; cursor: pointer;
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font-family: inherit; font-weight: 600;
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}
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.input-bar button:hover { background: #2ea043; }
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.input-bar button:disabled {
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background: #21262d; color: #484f58; cursor: not-allowed;
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}
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.input-bar button.clear { background: #da3633; }
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.input-bar button.clear:hover { background: #f85149; }
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</style>
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</head>
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<body>
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<header>
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<h1>EventLoopNode Live</h1>
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<span id="status" class="status">Idle</span>
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<span id="iter" class="status" style="display:none">Step 0</span>
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</header>
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<div id="chat" class="chat"></div>
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<div class="input-bar">
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<input id="input" type="text"
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placeholder="Ask anything..." autofocus />
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<button id="go" onclick="run()">Send</button>
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<button class="clear"
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onclick="clearConversation()">Clear</button>
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</div>
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||||
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||||
<script>
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let ws = null;
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let currentAssistantEl = null;
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let iterCount = 0;
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const chat = document.getElementById('chat');
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const status = document.getElementById('status');
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const iterEl = document.getElementById('iter');
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const goBtn = document.getElementById('go');
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const inputEl = document.getElementById('input');
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inputEl.addEventListener('keydown', e => {
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if (e.key === 'Enter') run();
|
||||
});
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||||
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function setStatus(text, cls) {
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status.textContent = text;
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status.className = 'status ' + cls;
|
||||
}
|
||||
|
||||
function addMsg(text, cls) {
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const el = document.createElement('div');
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el.className = 'msg ' + cls;
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el.textContent = text;
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chat.appendChild(el);
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chat.scrollTop = chat.scrollHeight;
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return el;
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}
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|
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function connect() {
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ws = new WebSocket('ws://' + location.host + '/ws');
|
||||
ws.onopen = () => {
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setStatus('Ready', 'done');
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goBtn.disabled = false;
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||||
};
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ws.onmessage = handleEvent;
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ws.onerror = () => { setStatus('Error', 'error'); };
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ws.onclose = () => {
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setStatus('Reconnecting...', '');
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goBtn.disabled = true;
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setTimeout(connect, 2000);
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||||
};
|
||||
}
|
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|
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function handleEvent(msg) {
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const evt = JSON.parse(msg.data);
|
||||
|
||||
if (evt.type === 'llm_text_delta') {
|
||||
if (currentAssistantEl) {
|
||||
currentAssistantEl.textContent += evt.content;
|
||||
chat.scrollTop = chat.scrollHeight;
|
||||
}
|
||||
}
|
||||
else if (evt.type === 'ready') {
|
||||
setStatus('Ready', 'done');
|
||||
if (currentAssistantEl && !currentAssistantEl.textContent)
|
||||
currentAssistantEl.remove();
|
||||
goBtn.disabled = false;
|
||||
}
|
||||
else if (evt.type === 'node_loop_iteration') {
|
||||
iterCount = evt.iteration || (iterCount + 1);
|
||||
iterEl.textContent = 'Step ' + iterCount;
|
||||
iterEl.style.display = '';
|
||||
}
|
||||
else if (evt.type === 'tool_call_started') {
|
||||
var info = evt.tool_name + '('
|
||||
+ JSON.stringify(evt.tool_input).slice(0, 120) + ')';
|
||||
addMsg('TOOL ' + info, 'event tool');
|
||||
}
|
||||
else if (evt.type === 'tool_call_completed') {
|
||||
var preview = (evt.result || '').slice(0, 200);
|
||||
var cls = evt.is_error ? 'stall' : 'tool';
|
||||
addMsg('RESULT ' + evt.tool_name + ': ' + preview,
|
||||
'event ' + cls);
|
||||
currentAssistantEl = addMsg('', 'assistant');
|
||||
}
|
||||
else if (evt.type === 'result') {
|
||||
setStatus('Session ended', evt.success ? 'done' : 'error');
|
||||
if (evt.error) addMsg('ERROR ' + evt.error, 'event stall');
|
||||
if (currentAssistantEl && !currentAssistantEl.textContent)
|
||||
currentAssistantEl.remove();
|
||||
goBtn.disabled = false;
|
||||
}
|
||||
else if (evt.type === 'node_stalled') {
|
||||
addMsg('STALLED ' + evt.reason, 'event stall');
|
||||
}
|
||||
else if (evt.type === 'cleared') {
|
||||
chat.innerHTML = '';
|
||||
iterCount = 0;
|
||||
iterEl.textContent = 'Step 0';
|
||||
iterEl.style.display = 'none';
|
||||
setStatus('Ready', 'done');
|
||||
goBtn.disabled = false;
|
||||
}
|
||||
}
|
||||
|
||||
function run() {
|
||||
const text = inputEl.value.trim();
|
||||
if (!text || !ws || ws.readyState !== 1) return;
|
||||
addMsg(text, 'user');
|
||||
currentAssistantEl = addMsg('', 'assistant');
|
||||
inputEl.value = '';
|
||||
setStatus('Running', 'running');
|
||||
goBtn.disabled = true;
|
||||
ws.send(JSON.stringify({ topic: text }));
|
||||
}
|
||||
|
||||
function clearConversation() {
|
||||
if (ws && ws.readyState === 1) {
|
||||
ws.send(JSON.stringify({ command: 'clear' }));
|
||||
}
|
||||
}
|
||||
|
||||
connect();
|
||||
</script>
|
||||
</body>
|
||||
</html>"""
|
||||
)
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# WebSocket handler
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def handle_ws(websocket):
|
||||
"""Persistent WebSocket: long-lived EventLoopNode with client_facing blocking."""
|
||||
global STORE
|
||||
|
||||
# -- Event forwarding (WebSocket ← EventBus) ----------------------------
|
||||
bus = EventBus()
|
||||
|
||||
async def forward_event(event):
|
||||
try:
|
||||
payload = {"type": event.type.value, **event.data}
|
||||
if event.node_id:
|
||||
payload["node_id"] = event.node_id
|
||||
await websocket.send(json.dumps(payload))
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
bus.subscribe(
|
||||
event_types=[
|
||||
EventType.NODE_LOOP_STARTED,
|
||||
EventType.NODE_LOOP_ITERATION,
|
||||
EventType.NODE_LOOP_COMPLETED,
|
||||
EventType.LLM_TEXT_DELTA,
|
||||
EventType.TOOL_CALL_STARTED,
|
||||
EventType.TOOL_CALL_COMPLETED,
|
||||
EventType.NODE_STALLED,
|
||||
],
|
||||
handler=forward_event,
|
||||
)
|
||||
|
||||
# -- Per-connection state -----------------------------------------------
|
||||
node = None
|
||||
loop_task = None
|
||||
|
||||
tools = list(TOOL_REGISTRY.get_tools().values())
|
||||
tool_executor = TOOL_REGISTRY.get_executor()
|
||||
|
||||
node_spec = NodeSpec(
|
||||
id="assistant",
|
||||
name="Chat Assistant",
|
||||
description="A conversational assistant that remembers context across messages",
|
||||
node_type="event_loop",
|
||||
client_facing=True,
|
||||
system_prompt=(
|
||||
"You are a helpful assistant with access to tools. "
|
||||
"You can search the web, scrape webpages, and query HubSpot CRM. "
|
||||
"Use tools when the user asks for current information or external data. "
|
||||
"You have full conversation history, so you can reference previous messages."
|
||||
),
|
||||
)
|
||||
|
||||
# -- Ready callback: subscribe to CLIENT_INPUT_REQUESTED on the bus ---
|
||||
async def on_input_requested(event):
|
||||
try:
|
||||
await websocket.send(json.dumps({"type": "ready"}))
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
bus.subscribe(
|
||||
event_types=[EventType.CLIENT_INPUT_REQUESTED],
|
||||
handler=on_input_requested,
|
||||
)
|
||||
|
||||
async def start_loop(first_message: str):
|
||||
"""Create an EventLoopNode and run it as a background task."""
|
||||
nonlocal node, loop_task
|
||||
|
||||
memory = SharedMemory()
|
||||
ctx = NodeContext(
|
||||
runtime=RUNTIME,
|
||||
node_id="assistant",
|
||||
node_spec=node_spec,
|
||||
memory=memory,
|
||||
input_data={},
|
||||
llm=LLM,
|
||||
available_tools=tools,
|
||||
)
|
||||
node = EventLoopNode(
|
||||
event_bus=bus,
|
||||
config=LoopConfig(max_iterations=10_000, max_context_tokens=32_000),
|
||||
conversation_store=STORE,
|
||||
tool_executor=tool_executor,
|
||||
)
|
||||
await node.inject_event(first_message)
|
||||
|
||||
async def _run():
|
||||
try:
|
||||
result = await node.execute(ctx)
|
||||
try:
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "result",
|
||||
"success": result.success,
|
||||
"output": result.output,
|
||||
"error": result.error,
|
||||
"tokens": result.tokens_used,
|
||||
}
|
||||
)
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
logger.info(f"Loop ended: success={result.success}, tokens={result.tokens_used}")
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
logger.info("Loop stopped: WebSocket closed")
|
||||
except Exception as e:
|
||||
logger.exception("Loop error")
|
||||
try:
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "result",
|
||||
"success": False,
|
||||
"error": str(e),
|
||||
"output": {},
|
||||
}
|
||||
)
|
||||
)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
loop_task = asyncio.create_task(_run())
|
||||
|
||||
async def stop_loop():
|
||||
"""Signal the node and wait for the loop task to finish."""
|
||||
nonlocal node, loop_task
|
||||
if loop_task and not loop_task.done():
|
||||
if node:
|
||||
node.signal_shutdown()
|
||||
try:
|
||||
await asyncio.wait_for(loop_task, timeout=5.0)
|
||||
except (TimeoutError, asyncio.CancelledError):
|
||||
loop_task.cancel()
|
||||
node = None
|
||||
loop_task = None
|
||||
|
||||
# -- Message loop (runs for the lifetime of this WebSocket) -------------
|
||||
try:
|
||||
async for raw in websocket:
|
||||
try:
|
||||
msg = json.loads(raw)
|
||||
except Exception:
|
||||
continue
|
||||
|
||||
# Clear command
|
||||
if msg.get("command") == "clear":
|
||||
import shutil
|
||||
|
||||
await stop_loop()
|
||||
await STORE.close()
|
||||
conv_dir = STORE_DIR / "conversation"
|
||||
if conv_dir.exists():
|
||||
shutil.rmtree(conv_dir)
|
||||
STORE = FileConversationStore(conv_dir)
|
||||
await websocket.send(json.dumps({"type": "cleared"}))
|
||||
logger.info("Conversation cleared")
|
||||
continue
|
||||
|
||||
topic = msg.get("topic", "")
|
||||
if not topic:
|
||||
continue
|
||||
|
||||
if node is None:
|
||||
# First message — spin up the loop
|
||||
logger.info(f"Starting persistent loop: {topic}")
|
||||
await start_loop(topic)
|
||||
else:
|
||||
# Subsequent message — inject into the running loop
|
||||
logger.info(f"Injecting message: {topic}")
|
||||
await node.inject_event(topic)
|
||||
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
pass
|
||||
finally:
|
||||
await stop_loop()
|
||||
logger.info("WebSocket closed, loop stopped")
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# HTTP handler for serving the HTML page
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def process_request(connection, request: Request):
|
||||
"""Serve HTML on GET /, upgrade to WebSocket on /ws."""
|
||||
if request.path == "/ws":
|
||||
return None # let websockets handle the upgrade
|
||||
# Serve the HTML page for any other path
|
||||
return Response(
|
||||
HTTPStatus.OK,
|
||||
"OK",
|
||||
websockets.Headers({"Content-Type": "text/html; charset=utf-8"}),
|
||||
HTML_PAGE.encode(),
|
||||
)
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Main
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def main():
|
||||
port = 8765
|
||||
async with websockets.serve(
|
||||
handle_ws,
|
||||
"0.0.0.0",
|
||||
port,
|
||||
process_request=process_request,
|
||||
):
|
||||
logger.info(f"Demo running at http://localhost:{port}")
|
||||
logger.info("Open in your browser and enter a topic to research.")
|
||||
await asyncio.Future() # run forever
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,930 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Two-Node ContextHandoff Demo
|
||||
|
||||
Demonstrates ContextHandoff between two EventLoopNode instances:
|
||||
Node A (Researcher) → ContextHandoff → Node B (Analyst)
|
||||
|
||||
Real LLM, real FileConversationStore, real EventBus.
|
||||
Streams both nodes to a browser via WebSocket.
|
||||
|
||||
Usage:
|
||||
cd /home/timothy/oss/hive/core
|
||||
python demos/handoff_demo.py
|
||||
|
||||
Then open http://localhost:8766 in your browser.
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import logging
|
||||
import sys
|
||||
import tempfile
|
||||
from http import HTTPStatus
|
||||
from pathlib import Path
|
||||
|
||||
import httpx
|
||||
import websockets
|
||||
from bs4 import BeautifulSoup
|
||||
from websockets.http11 import Request, Response
|
||||
|
||||
# Add core, tools, and hive root to path
|
||||
_CORE_DIR = Path(__file__).resolve().parent.parent
|
||||
_HIVE_DIR = _CORE_DIR.parent
|
||||
sys.path.insert(0, str(_CORE_DIR)) # framework.*
|
||||
sys.path.insert(0, str(_HIVE_DIR / "tools" / "src")) # aden_tools.*
|
||||
sys.path.insert(0, str(_HIVE_DIR)) # core.framework.* (for aden_tools imports)
|
||||
|
||||
from aden_tools.credentials import CREDENTIAL_SPECS, CredentialStoreAdapter # noqa: E402
|
||||
from core.framework.credentials import CredentialStore # noqa: E402
|
||||
|
||||
from framework.credentials.storage import ( # noqa: E402
|
||||
CompositeStorage,
|
||||
EncryptedFileStorage,
|
||||
EnvVarStorage,
|
||||
)
|
||||
from framework.graph.context_handoff import ContextHandoff # noqa: E402
|
||||
from framework.graph.conversation import NodeConversation # noqa: E402
|
||||
from framework.graph.event_loop_node import EventLoopNode, LoopConfig # noqa: E402
|
||||
from framework.graph.node import NodeContext, NodeSpec, SharedMemory # noqa: E402
|
||||
from framework.llm.litellm import LiteLLMProvider # noqa: E402
|
||||
from framework.llm.provider import Tool # noqa: E402
|
||||
from framework.runner.tool_registry import ToolRegistry # noqa: E402
|
||||
from framework.runtime.core import Runtime # noqa: E402
|
||||
from framework.runtime.event_bus import EventBus, EventType # noqa: E402
|
||||
from framework.storage.conversation_store import FileConversationStore # noqa: E402
|
||||
|
||||
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(name)s %(message)s")
|
||||
logger = logging.getLogger("handoff_demo")
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Persistent state
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
STORE_DIR = Path(tempfile.mkdtemp(prefix="hive_handoff_"))
|
||||
RUNTIME = Runtime(STORE_DIR / "runtime")
|
||||
LLM = LiteLLMProvider(model="claude-sonnet-4-5-20250929")
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Credentials
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
# Composite credential store: encrypted files (primary) + env vars (fallback)
|
||||
_env_mapping = {name: spec.env_var for name, spec in CREDENTIAL_SPECS.items()}
|
||||
_composite = CompositeStorage(
|
||||
primary=EncryptedFileStorage(),
|
||||
fallbacks=[EnvVarStorage(env_mapping=_env_mapping)],
|
||||
)
|
||||
CREDENTIALS = CredentialStoreAdapter(CredentialStore(storage=_composite))
|
||||
|
||||
for _name in ["brave_search", "hubspot"]:
|
||||
_val = CREDENTIALS.get(_name)
|
||||
if _val:
|
||||
logger.debug("credential %s: OK (len=%d)", _name, len(_val))
|
||||
else:
|
||||
logger.debug("credential %s: not found", _name)
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Tool Registry — web_search + web_scrape for Node A (Researcher)
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
TOOL_REGISTRY = ToolRegistry()
|
||||
|
||||
|
||||
def _exec_web_search(inputs: dict) -> dict:
|
||||
api_key = CREDENTIALS.get("brave_search")
|
||||
if not api_key:
|
||||
return {"error": "brave_search credential not configured"}
|
||||
query = inputs.get("query", "")
|
||||
num_results = min(inputs.get("num_results", 10), 20)
|
||||
resp = httpx.get(
|
||||
"https://api.search.brave.com/res/v1/web/search",
|
||||
params={"q": query, "count": num_results},
|
||||
headers={
|
||||
"X-Subscription-Token": api_key,
|
||||
"Accept": "application/json",
|
||||
},
|
||||
timeout=30.0,
|
||||
)
|
||||
if resp.status_code != 200:
|
||||
return {"error": f"Brave API HTTP {resp.status_code}"}
|
||||
data = resp.json()
|
||||
results = [
|
||||
{
|
||||
"title": item.get("title", ""),
|
||||
"url": item.get("url", ""),
|
||||
"snippet": item.get("description", ""),
|
||||
}
|
||||
for item in data.get("web", {}).get("results", [])[:num_results]
|
||||
]
|
||||
return {"query": query, "results": results, "total": len(results)}
|
||||
|
||||
|
||||
TOOL_REGISTRY.register(
|
||||
name="web_search",
|
||||
tool=Tool(
|
||||
name="web_search",
|
||||
description=(
|
||||
"Search the web for current information. "
|
||||
"Returns titles, URLs, and snippets from search results."
|
||||
),
|
||||
parameters={
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"query": {
|
||||
"type": "string",
|
||||
"description": "The search query (1-500 characters)",
|
||||
},
|
||||
"num_results": {
|
||||
"type": "integer",
|
||||
"description": "Number of results (1-20, default 10)",
|
||||
},
|
||||
},
|
||||
"required": ["query"],
|
||||
},
|
||||
),
|
||||
executor=lambda inputs: _exec_web_search(inputs),
|
||||
)
|
||||
|
||||
_SCRAPE_HEADERS = {
|
||||
"User-Agent": (
|
||||
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
|
||||
"AppleWebKit/537.36 (KHTML, like Gecko) "
|
||||
"Chrome/131.0.0.0 Safari/537.36"
|
||||
),
|
||||
"Accept": "text/html,application/xhtml+xml",
|
||||
}
|
||||
|
||||
|
||||
def _exec_web_scrape(inputs: dict) -> dict:
|
||||
url = inputs.get("url", "")
|
||||
max_length = max(1000, min(inputs.get("max_length", 50000), 500000))
|
||||
if not url.startswith(("http://", "https://")):
|
||||
url = "https://" + url
|
||||
try:
|
||||
resp = httpx.get(
|
||||
url,
|
||||
timeout=30.0,
|
||||
follow_redirects=True,
|
||||
headers=_SCRAPE_HEADERS,
|
||||
)
|
||||
if resp.status_code != 200:
|
||||
return {"error": f"HTTP {resp.status_code}"}
|
||||
soup = BeautifulSoup(resp.text, "html.parser")
|
||||
for tag in soup(["script", "style", "nav", "footer", "header", "aside", "noscript"]):
|
||||
tag.decompose()
|
||||
title = soup.title.get_text(strip=True) if soup.title else ""
|
||||
main = (
|
||||
soup.find("article")
|
||||
or soup.find("main")
|
||||
or soup.find(attrs={"role": "main"})
|
||||
or soup.find("body")
|
||||
)
|
||||
text = main.get_text(separator=" ", strip=True) if main else ""
|
||||
text = " ".join(text.split())
|
||||
if len(text) > max_length:
|
||||
text = text[:max_length] + "..."
|
||||
return {
|
||||
"url": url,
|
||||
"title": title,
|
||||
"content": text,
|
||||
"length": len(text),
|
||||
}
|
||||
except httpx.TimeoutException:
|
||||
return {"error": "Request timed out"}
|
||||
except Exception as e:
|
||||
return {"error": f"Scrape failed: {e}"}
|
||||
|
||||
|
||||
TOOL_REGISTRY.register(
|
||||
name="web_scrape",
|
||||
tool=Tool(
|
||||
name="web_scrape",
|
||||
description=(
|
||||
"Scrape and extract text content from a webpage URL. "
|
||||
"Returns the page title and main text content."
|
||||
),
|
||||
parameters={
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"url": {
|
||||
"type": "string",
|
||||
"description": "URL of the webpage to scrape",
|
||||
},
|
||||
"max_length": {
|
||||
"type": "integer",
|
||||
"description": "Maximum text length (default 50000)",
|
||||
},
|
||||
},
|
||||
"required": ["url"],
|
||||
},
|
||||
),
|
||||
executor=lambda inputs: _exec_web_scrape(inputs),
|
||||
)
|
||||
|
||||
logger.info(
|
||||
"ToolRegistry loaded: %s",
|
||||
", ".join(TOOL_REGISTRY.get_registered_names()),
|
||||
)
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Node Specs
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
RESEARCHER_SPEC = NodeSpec(
|
||||
id="researcher",
|
||||
name="Researcher",
|
||||
description="Researches a topic using web search and scraping tools",
|
||||
node_type="event_loop",
|
||||
input_keys=["topic"],
|
||||
output_keys=["research_summary"],
|
||||
system_prompt=(
|
||||
"You are a thorough research assistant. Your job is to research "
|
||||
"the given topic using the web_search and web_scrape tools.\n\n"
|
||||
"1. Search for relevant information on the topic\n"
|
||||
"2. Scrape 1-2 of the most promising URLs for details\n"
|
||||
"3. Synthesize your findings into a comprehensive summary\n"
|
||||
"4. Use set_output with key='research_summary' to save your "
|
||||
"findings\n\n"
|
||||
"Be thorough but efficient. Aim for 2-4 search/scrape calls, "
|
||||
"then summarize and set_output."
|
||||
),
|
||||
)
|
||||
|
||||
ANALYST_SPEC = NodeSpec(
|
||||
id="analyst",
|
||||
name="Analyst",
|
||||
description="Analyzes research findings and provides insights",
|
||||
node_type="event_loop",
|
||||
input_keys=["context"],
|
||||
output_keys=["analysis"],
|
||||
system_prompt=(
|
||||
"You are a strategic analyst. You receive research findings from "
|
||||
"a previous researcher and must:\n\n"
|
||||
"1. Identify key themes and patterns\n"
|
||||
"2. Assess the reliability and significance of the findings\n"
|
||||
"3. Provide actionable insights and recommendations\n"
|
||||
"4. Use set_output with key='analysis' to save your analysis\n\n"
|
||||
"Be concise but insightful. Focus on what matters most."
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# HTML page
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
HTML_PAGE = ( # noqa: E501
|
||||
"""<!DOCTYPE html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
<title>ContextHandoff Demo</title>
|
||||
<style>
|
||||
* {
|
||||
box-sizing: border-box;
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
}
|
||||
body {
|
||||
font-family: 'SF Mono', 'Fira Code', monospace;
|
||||
background: #0d1117;
|
||||
color: #c9d1d9;
|
||||
height: 100vh;
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
}
|
||||
header {
|
||||
background: #161b22;
|
||||
padding: 12px 20px;
|
||||
border-bottom: 1px solid #30363d;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 16px;
|
||||
}
|
||||
header h1 {
|
||||
font-size: 16px;
|
||||
color: #58a6ff;
|
||||
font-weight: 600;
|
||||
}
|
||||
.badge {
|
||||
font-size: 12px;
|
||||
padding: 3px 10px;
|
||||
border-radius: 12px;
|
||||
background: #21262d;
|
||||
color: #8b949e;
|
||||
}
|
||||
.badge.researcher {
|
||||
background: #1a3a5c;
|
||||
color: #58a6ff;
|
||||
}
|
||||
.badge.analyst {
|
||||
background: #1a4b2e;
|
||||
color: #3fb950;
|
||||
}
|
||||
.badge.handoff {
|
||||
background: #3d1f00;
|
||||
color: #d29922;
|
||||
}
|
||||
.badge.done {
|
||||
background: #21262d;
|
||||
color: #8b949e;
|
||||
}
|
||||
.badge.error {
|
||||
background: #4b1a1a;
|
||||
color: #f85149;
|
||||
}
|
||||
.chat {
|
||||
flex: 1;
|
||||
overflow-y: auto;
|
||||
padding: 16px;
|
||||
}
|
||||
.msg {
|
||||
margin: 8px 0;
|
||||
padding: 10px 14px;
|
||||
border-radius: 8px;
|
||||
line-height: 1.6;
|
||||
white-space: pre-wrap;
|
||||
word-wrap: break-word;
|
||||
}
|
||||
.msg.user {
|
||||
background: #1a3a5c;
|
||||
color: #58a6ff;
|
||||
}
|
||||
.msg.assistant {
|
||||
background: #161b22;
|
||||
color: #c9d1d9;
|
||||
}
|
||||
.msg.assistant.analyst-msg {
|
||||
border-left: 3px solid #3fb950;
|
||||
}
|
||||
.msg.event {
|
||||
background: transparent;
|
||||
color: #8b949e;
|
||||
font-size: 11px;
|
||||
padding: 4px 14px;
|
||||
border-left: 3px solid #30363d;
|
||||
}
|
||||
.msg.event.loop {
|
||||
border-left-color: #58a6ff;
|
||||
}
|
||||
.msg.event.tool {
|
||||
border-left-color: #d29922;
|
||||
}
|
||||
.msg.event.stall {
|
||||
border-left-color: #f85149;
|
||||
}
|
||||
.handoff-banner {
|
||||
margin: 16px 0;
|
||||
padding: 16px;
|
||||
background: #1c1200;
|
||||
border: 1px solid #d29922;
|
||||
border-radius: 8px;
|
||||
text-align: center;
|
||||
}
|
||||
.handoff-banner h3 {
|
||||
color: #d29922;
|
||||
font-size: 14px;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
.handoff-banner p, .result-banner p {
|
||||
color: #8b949e;
|
||||
font-size: 12px;
|
||||
line-height: 1.5;
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
white-space: pre-wrap;
|
||||
text-align: left;
|
||||
}
|
||||
.result-banner {
|
||||
margin: 16px 0;
|
||||
padding: 16px;
|
||||
background: #0a2614;
|
||||
border: 1px solid #3fb950;
|
||||
border-radius: 8px;
|
||||
}
|
||||
.result-banner h3 {
|
||||
color: #3fb950;
|
||||
font-size: 14px;
|
||||
margin-bottom: 8px;
|
||||
text-align: center;
|
||||
}
|
||||
.result-banner .label {
|
||||
color: #58a6ff;
|
||||
font-size: 11px;
|
||||
font-weight: 600;
|
||||
margin-top: 10px;
|
||||
margin-bottom: 2px;
|
||||
}
|
||||
.result-banner .tokens {
|
||||
color: #484f58;
|
||||
font-size: 11px;
|
||||
text-align: center;
|
||||
margin-top: 10px;
|
||||
}
|
||||
.input-bar {
|
||||
padding: 12px 16px;
|
||||
background: #161b22;
|
||||
border-top: 1px solid #30363d;
|
||||
display: flex;
|
||||
gap: 8px;
|
||||
}
|
||||
.input-bar input {
|
||||
flex: 1;
|
||||
background: #0d1117;
|
||||
border: 1px solid #30363d;
|
||||
color: #c9d1d9;
|
||||
padding: 8px 12px;
|
||||
border-radius: 6px;
|
||||
font-family: inherit;
|
||||
font-size: 14px;
|
||||
outline: none;
|
||||
}
|
||||
.input-bar input:focus {
|
||||
border-color: #58a6ff;
|
||||
}
|
||||
.input-bar button {
|
||||
background: #238636;
|
||||
color: #fff;
|
||||
border: none;
|
||||
padding: 8px 20px;
|
||||
border-radius: 6px;
|
||||
cursor: pointer;
|
||||
font-family: inherit;
|
||||
font-weight: 600;
|
||||
}
|
||||
.input-bar button:hover {
|
||||
background: #2ea043;
|
||||
}
|
||||
.input-bar button:disabled {
|
||||
background: #21262d;
|
||||
color: #484f58;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
</style>
|
||||
</head>
|
||||
<body>
|
||||
<header>
|
||||
<h1>ContextHandoff Demo</h1>
|
||||
<span id="phase" class="badge">Idle</span>
|
||||
<span id="iter" class="badge" style="display:none">Step 0</span>
|
||||
</header>
|
||||
<div id="chat" class="chat"></div>
|
||||
<div class="input-bar">
|
||||
<input id="input" type="text"
|
||||
placeholder="Enter a research topic..." autofocus />
|
||||
<button id="go" onclick="run()">Research</button>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
let ws = null;
|
||||
let currentAssistantEl = null;
|
||||
let iterCount = 0;
|
||||
let currentPhase = 'idle';
|
||||
const chat = document.getElementById('chat');
|
||||
const phase = document.getElementById('phase');
|
||||
const iterEl = document.getElementById('iter');
|
||||
const goBtn = document.getElementById('go');
|
||||
const inputEl = document.getElementById('input');
|
||||
|
||||
inputEl.addEventListener('keydown', e => {
|
||||
if (e.key === 'Enter') run();
|
||||
});
|
||||
|
||||
function setPhase(text, cls) {
|
||||
phase.textContent = text;
|
||||
phase.className = 'badge ' + cls;
|
||||
currentPhase = cls;
|
||||
}
|
||||
|
||||
function addMsg(text, cls) {
|
||||
const el = document.createElement('div');
|
||||
el.className = 'msg ' + cls;
|
||||
el.textContent = text;
|
||||
chat.appendChild(el);
|
||||
chat.scrollTop = chat.scrollHeight;
|
||||
return el;
|
||||
}
|
||||
|
||||
function addHandoffBanner(summary) {
|
||||
const banner = document.createElement('div');
|
||||
banner.className = 'handoff-banner';
|
||||
const h3 = document.createElement('h3');
|
||||
h3.textContent = 'Context Handoff: Researcher -> Analyst';
|
||||
const p = document.createElement('p');
|
||||
p.textContent = summary || 'Passing research context...';
|
||||
banner.appendChild(h3);
|
||||
banner.appendChild(p);
|
||||
chat.appendChild(banner);
|
||||
chat.scrollTop = chat.scrollHeight;
|
||||
}
|
||||
|
||||
function addResultBanner(researcher, analyst, tokens) {
|
||||
const banner = document.createElement('div');
|
||||
banner.className = 'result-banner';
|
||||
const h3 = document.createElement('h3');
|
||||
h3.textContent = 'Pipeline Complete';
|
||||
banner.appendChild(h3);
|
||||
|
||||
if (researcher && researcher.research_summary) {
|
||||
const lbl = document.createElement('div');
|
||||
lbl.className = 'label';
|
||||
lbl.textContent = 'RESEARCH SUMMARY';
|
||||
banner.appendChild(lbl);
|
||||
const p = document.createElement('p');
|
||||
p.textContent = researcher.research_summary;
|
||||
banner.appendChild(p);
|
||||
}
|
||||
|
||||
if (analyst && analyst.analysis) {
|
||||
const lbl = document.createElement('div');
|
||||
lbl.className = 'label';
|
||||
lbl.textContent = 'ANALYSIS';
|
||||
lbl.style.color = '#3fb950';
|
||||
banner.appendChild(lbl);
|
||||
const p = document.createElement('p');
|
||||
p.textContent = analyst.analysis;
|
||||
banner.appendChild(p);
|
||||
}
|
||||
|
||||
if (tokens) {
|
||||
const t = document.createElement('div');
|
||||
t.className = 'tokens';
|
||||
t.textContent = 'Total tokens: ' + tokens.toLocaleString();
|
||||
banner.appendChild(t);
|
||||
}
|
||||
|
||||
chat.appendChild(banner);
|
||||
chat.scrollTop = chat.scrollHeight;
|
||||
}
|
||||
|
||||
function connect() {
|
||||
ws = new WebSocket('ws://' + location.host + '/ws');
|
||||
ws.onopen = () => {
|
||||
setPhase('Ready', 'done');
|
||||
goBtn.disabled = false;
|
||||
};
|
||||
ws.onmessage = handleEvent;
|
||||
ws.onerror = () => { setPhase('Error', 'error'); };
|
||||
ws.onclose = () => {
|
||||
setPhase('Reconnecting...', '');
|
||||
goBtn.disabled = true;
|
||||
setTimeout(connect, 2000);
|
||||
};
|
||||
}
|
||||
|
||||
function handleEvent(msg) {
|
||||
const evt = JSON.parse(msg.data);
|
||||
|
||||
if (evt.type === 'phase') {
|
||||
if (evt.phase === 'researcher') {
|
||||
setPhase('Researcher', 'researcher');
|
||||
} else if (evt.phase === 'handoff') {
|
||||
setPhase('Handoff', 'handoff');
|
||||
} else if (evt.phase === 'analyst') {
|
||||
setPhase('Analyst', 'analyst');
|
||||
}
|
||||
iterCount = 0;
|
||||
iterEl.style.display = 'none';
|
||||
}
|
||||
else if (evt.type === 'llm_text_delta') {
|
||||
if (currentAssistantEl) {
|
||||
currentAssistantEl.textContent += evt.content;
|
||||
chat.scrollTop = chat.scrollHeight;
|
||||
}
|
||||
}
|
||||
else if (evt.type === 'node_loop_iteration') {
|
||||
iterCount = evt.iteration || (iterCount + 1);
|
||||
iterEl.textContent = 'Step ' + iterCount;
|
||||
iterEl.style.display = '';
|
||||
}
|
||||
else if (evt.type === 'tool_call_started') {
|
||||
var info = evt.tool_name + '('
|
||||
+ JSON.stringify(evt.tool_input).slice(0, 120) + ')';
|
||||
addMsg('TOOL ' + info, 'event tool');
|
||||
}
|
||||
else if (evt.type === 'tool_call_completed') {
|
||||
var preview = (evt.result || '').slice(0, 200);
|
||||
var cls = evt.is_error ? 'stall' : 'tool';
|
||||
addMsg(
|
||||
'RESULT ' + evt.tool_name + ': ' + preview,
|
||||
'event ' + cls
|
||||
);
|
||||
var assistCls = currentPhase === 'analyst'
|
||||
? 'assistant analyst-msg' : 'assistant';
|
||||
currentAssistantEl = addMsg('', assistCls);
|
||||
}
|
||||
else if (evt.type === 'handoff_context') {
|
||||
addHandoffBanner(evt.summary);
|
||||
var assistCls = 'assistant analyst-msg';
|
||||
currentAssistantEl = addMsg('', assistCls);
|
||||
}
|
||||
else if (evt.type === 'node_result') {
|
||||
if (evt.node_id === 'researcher') {
|
||||
if (currentAssistantEl
|
||||
&& !currentAssistantEl.textContent) {
|
||||
currentAssistantEl.remove();
|
||||
}
|
||||
}
|
||||
}
|
||||
else if (evt.type === 'done') {
|
||||
setPhase('Done', 'done');
|
||||
iterEl.style.display = 'none';
|
||||
if (currentAssistantEl
|
||||
&& !currentAssistantEl.textContent) {
|
||||
currentAssistantEl.remove();
|
||||
}
|
||||
currentAssistantEl = null;
|
||||
addResultBanner(
|
||||
evt.researcher, evt.analyst, evt.total_tokens
|
||||
);
|
||||
goBtn.disabled = false;
|
||||
inputEl.placeholder = 'Enter another topic...';
|
||||
}
|
||||
else if (evt.type === 'error') {
|
||||
setPhase('Error', 'error');
|
||||
addMsg('ERROR ' + evt.message, 'event stall');
|
||||
goBtn.disabled = false;
|
||||
}
|
||||
else if (evt.type === 'node_stalled') {
|
||||
addMsg('STALLED ' + evt.reason, 'event stall');
|
||||
}
|
||||
}
|
||||
|
||||
function run() {
|
||||
const text = inputEl.value.trim();
|
||||
if (!text || !ws || ws.readyState !== 1) return;
|
||||
chat.innerHTML = '';
|
||||
addMsg(text, 'user');
|
||||
currentAssistantEl = addMsg('', 'assistant');
|
||||
inputEl.value = '';
|
||||
goBtn.disabled = true;
|
||||
ws.send(JSON.stringify({ topic: text }));
|
||||
}
|
||||
|
||||
connect();
|
||||
</script>
|
||||
</body>
|
||||
</html>"""
|
||||
)
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# WebSocket handler — sequential Node A → Handoff → Node B
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def handle_ws(websocket):
|
||||
"""Run the two-node handoff pipeline per user message."""
|
||||
try:
|
||||
async for raw in websocket:
|
||||
try:
|
||||
msg = json.loads(raw)
|
||||
except Exception:
|
||||
continue
|
||||
|
||||
topic = msg.get("topic", "")
|
||||
if not topic:
|
||||
continue
|
||||
|
||||
logger.info(f"Starting handoff pipeline for: {topic}")
|
||||
|
||||
try:
|
||||
await _run_pipeline(websocket, topic)
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
logger.info("WebSocket closed during pipeline")
|
||||
return
|
||||
except Exception as e:
|
||||
logger.exception("Pipeline error")
|
||||
try:
|
||||
await websocket.send(json.dumps({"type": "error", "message": str(e)}))
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
except websockets.exceptions.ConnectionClosed:
|
||||
pass
|
||||
|
||||
|
||||
async def _run_pipeline(websocket, topic: str):
|
||||
"""Execute: Node A (research) → ContextHandoff → Node B (analysis)."""
|
||||
import shutil
|
||||
|
||||
# Fresh stores for each run
|
||||
run_dir = Path(tempfile.mkdtemp(prefix="hive_run_", dir=STORE_DIR))
|
||||
store_a = FileConversationStore(run_dir / "node_a")
|
||||
store_b = FileConversationStore(run_dir / "node_b")
|
||||
|
||||
# Shared event bus
|
||||
bus = EventBus()
|
||||
|
||||
async def forward_event(event):
|
||||
try:
|
||||
payload = {"type": event.type.value, **event.data}
|
||||
if event.node_id:
|
||||
payload["node_id"] = event.node_id
|
||||
await websocket.send(json.dumps(payload))
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
bus.subscribe(
|
||||
event_types=[
|
||||
EventType.NODE_LOOP_STARTED,
|
||||
EventType.NODE_LOOP_ITERATION,
|
||||
EventType.NODE_LOOP_COMPLETED,
|
||||
EventType.LLM_TEXT_DELTA,
|
||||
EventType.TOOL_CALL_STARTED,
|
||||
EventType.TOOL_CALL_COMPLETED,
|
||||
EventType.NODE_STALLED,
|
||||
],
|
||||
handler=forward_event,
|
||||
)
|
||||
|
||||
tools = list(TOOL_REGISTRY.get_tools().values())
|
||||
tool_executor = TOOL_REGISTRY.get_executor()
|
||||
|
||||
# ---- Phase 1: Researcher ------------------------------------------------
|
||||
await websocket.send(json.dumps({"type": "phase", "phase": "researcher"}))
|
||||
|
||||
node_a = EventLoopNode(
|
||||
event_bus=bus,
|
||||
judge=None, # implicit judge: accept when output_keys filled
|
||||
config=LoopConfig(
|
||||
max_iterations=20,
|
||||
max_tool_calls_per_turn=30,
|
||||
max_context_tokens=32_000,
|
||||
),
|
||||
conversation_store=store_a,
|
||||
tool_executor=tool_executor,
|
||||
)
|
||||
|
||||
ctx_a = NodeContext(
|
||||
runtime=RUNTIME,
|
||||
node_id="researcher",
|
||||
node_spec=RESEARCHER_SPEC,
|
||||
memory=SharedMemory(),
|
||||
input_data={"topic": topic},
|
||||
llm=LLM,
|
||||
available_tools=tools,
|
||||
)
|
||||
|
||||
result_a = await node_a.execute(ctx_a)
|
||||
logger.info(
|
||||
"Researcher done: success=%s, tokens=%s",
|
||||
result_a.success,
|
||||
result_a.tokens_used,
|
||||
)
|
||||
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "node_result",
|
||||
"node_id": "researcher",
|
||||
"success": result_a.success,
|
||||
"output": result_a.output,
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
if not result_a.success:
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "error",
|
||||
"message": f"Researcher failed: {result_a.error}",
|
||||
}
|
||||
)
|
||||
)
|
||||
return
|
||||
|
||||
# ---- Phase 2: Context Handoff -------------------------------------------
|
||||
await websocket.send(json.dumps({"type": "phase", "phase": "handoff"}))
|
||||
|
||||
# Restore the researcher's conversation from store
|
||||
conversation_a = await NodeConversation.restore(store_a)
|
||||
if conversation_a is None:
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "error",
|
||||
"message": "Failed to restore researcher conversation",
|
||||
}
|
||||
)
|
||||
)
|
||||
return
|
||||
|
||||
handoff_engine = ContextHandoff(llm=LLM)
|
||||
handoff_context = handoff_engine.summarize_conversation(
|
||||
conversation=conversation_a,
|
||||
node_id="researcher",
|
||||
output_keys=["research_summary"],
|
||||
)
|
||||
|
||||
formatted_handoff = ContextHandoff.format_as_input(handoff_context)
|
||||
logger.info(
|
||||
"Handoff: %d turns, ~%d tokens, keys=%s",
|
||||
handoff_context.turn_count,
|
||||
handoff_context.total_tokens_used,
|
||||
list(handoff_context.key_outputs.keys()),
|
||||
)
|
||||
|
||||
# Send handoff context to browser
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "handoff_context",
|
||||
"summary": handoff_context.summary[:500],
|
||||
"turn_count": handoff_context.turn_count,
|
||||
"tokens": handoff_context.total_tokens_used,
|
||||
"key_outputs": handoff_context.key_outputs,
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
# ---- Phase 3: Analyst ---------------------------------------------------
|
||||
await websocket.send(json.dumps({"type": "phase", "phase": "analyst"}))
|
||||
|
||||
node_b = EventLoopNode(
|
||||
event_bus=bus,
|
||||
judge=None, # implicit judge
|
||||
config=LoopConfig(
|
||||
max_iterations=10,
|
||||
max_tool_calls_per_turn=30,
|
||||
max_context_tokens=32_000,
|
||||
),
|
||||
conversation_store=store_b,
|
||||
)
|
||||
|
||||
ctx_b = NodeContext(
|
||||
runtime=RUNTIME,
|
||||
node_id="analyst",
|
||||
node_spec=ANALYST_SPEC,
|
||||
memory=SharedMemory(),
|
||||
input_data={"context": formatted_handoff},
|
||||
llm=LLM,
|
||||
available_tools=[],
|
||||
)
|
||||
|
||||
result_b = await node_b.execute(ctx_b)
|
||||
logger.info(
|
||||
"Analyst done: success=%s, tokens=%s",
|
||||
result_b.success,
|
||||
result_b.tokens_used,
|
||||
)
|
||||
|
||||
# ---- Done ---------------------------------------------------------------
|
||||
await websocket.send(
|
||||
json.dumps(
|
||||
{
|
||||
"type": "done",
|
||||
"researcher": result_a.output,
|
||||
"analyst": result_b.output,
|
||||
"total_tokens": ((result_a.tokens_used or 0) + (result_b.tokens_used or 0)),
|
||||
}
|
||||
)
|
||||
)
|
||||
|
||||
# Clean up temp stores
|
||||
try:
|
||||
shutil.rmtree(run_dir)
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# HTTP handler
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def process_request(connection, request: Request):
|
||||
"""Serve HTML on GET /, upgrade to WebSocket on /ws."""
|
||||
if request.path == "/ws":
|
||||
return None
|
||||
return Response(
|
||||
HTTPStatus.OK,
|
||||
"OK",
|
||||
websockets.Headers({"Content-Type": "text/html; charset=utf-8"}),
|
||||
HTML_PAGE.encode(),
|
||||
)
|
||||
|
||||
|
||||
# -------------------------------------------------------------------------
|
||||
# Main
|
||||
# -------------------------------------------------------------------------
|
||||
|
||||
|
||||
async def main():
|
||||
port = 8766
|
||||
async with websockets.serve(
|
||||
handle_ws,
|
||||
"0.0.0.0",
|
||||
port,
|
||||
process_request=process_request,
|
||||
):
|
||||
logger.info(f"Handoff demo at http://localhost:{port}")
|
||||
logger.info("Enter a research topic to start the pipeline.")
|
||||
await asyncio.Future()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
asyncio.run(main())
|
||||
File diff suppressed because it is too large
Load Diff
@@ -23,6 +23,7 @@ except ImportError:
|
||||
litellm = None # type: ignore[assignment]
|
||||
RateLimitError = Exception # type: ignore[assignment, misc]
|
||||
|
||||
from framework.config import HIVE_LLM_ENDPOINT as HIVE_API_BASE
|
||||
from framework.llm.provider import LLMProvider, LLMResponse, Tool
|
||||
from framework.llm.stream_events import StreamEvent
|
||||
|
||||
@@ -158,8 +159,6 @@ def _model_supports_cache_control(model: str) -> bool:
|
||||
# enforces a coding-agent whitelist that blocks unknown User-Agents.
|
||||
KIMI_API_BASE = "https://api.kimi.com/coding"
|
||||
|
||||
from framework.config import HIVE_LLM_ENDPOINT as HIVE_API_BASE
|
||||
|
||||
# Empty-stream retries use a short fixed delay, not the rate-limit backoff.
|
||||
# Conversation-structure issues are deterministic — long waits don't help.
|
||||
EMPTY_STREAM_MAX_RETRIES = 3
|
||||
@@ -402,7 +401,7 @@ class LiteLLMProvider(LLMProvider):
|
||||
if api_base and api_base.rstrip("/").endswith("/v1"):
|
||||
api_base = api_base.rstrip("/")[:-3]
|
||||
elif model.lower().startswith("hive/"):
|
||||
model = "anthropic/" + model[len("hive/"):]
|
||||
model = "anthropic/" + model[len("hive/") :]
|
||||
if api_base and api_base.rstrip("/").endswith("/v1"):
|
||||
api_base = api_base.rstrip("/")[:-3]
|
||||
self.model = model
|
||||
|
||||
Reference in New Issue
Block a user