通过添加在主提供程序失败时激活的辅助搜索提供程序，修复 Hermes v0.12 搜索 API 回退问题。当默认搜索工具超时、返回空结果或在高吞吐量操作期间达到速率限制时，Hermes v0.12 代理通常会遇到搜索接地失败。添加具有自动重试逻辑的后备搜索提供程序可确保代理始终能够访问搜索数据，从而防止在接地数据丢失时发生级联幻觉。
前置条件
- 已安装 Python 3.8+
- 请求已安装库
- 来自 scavio.dev 的 Scavio API 密钥
- 具有搜索基础的 Hermes v0.12 代理
操作指南
步骤 1: 诊断故障模式
确定您的 Hermes 代理最常遇到哪些搜索失败。
Python
import os, requests, time
API_KEY = os.environ['SCAVIO_API_KEY']
# Common Hermes v0.12 search failure modes:
FAILURE_MODES = {
'timeout': 'Search request took >10s, agent proceeded without data',
'empty_results': 'Search returned 0 results, agent hallucinated answer',
'rate_limit': 'HTTP 429 from primary provider, no retry attempted',
'malformed_json': 'Response was not valid JSON, parser crashed',
}
def diagnose_search(query: str) -> dict:
"""Test search reliability and measure response characteristics."""
start = time.time()
try:
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': API_KEY},
json={'platform': 'google', 'query': query}, timeout=15)
elapsed = time.time() - start
data = resp.json()
results = data.get('organic_results', [])
return {
'status': resp.status_code,
'latency_ms': round(elapsed * 1000),
'result_count': len(results),
'has_data': len(results) > 0,
'error': None,
}
except requests.Timeout:
return {'status': 0, 'latency_ms': 15000, 'result_count': 0, 'has_data': False, 'error': 'timeout'}
except Exception as e:
return {'status': 0, 'latency_ms': 0, 'result_count': 0, 'has_data': False, 'error': str(e)}
diag = diagnose_search('latest python release')
print(f"Status: {diag['status']}, Latency: {diag['latency_ms']}ms, Results: {diag['result_count']}")步骤 2: 构建后备搜索功能
创建具有自动重试和回退逻辑的搜索功能。
Python
def search_with_fallback(query: str, max_retries: int = 2) -> dict:
"""Search with retry logic. Returns results or empty dict on total failure."""
for attempt in range(max_retries + 1):
try:
resp = requests.post('https://api.scavio.dev/api/v1/search',
headers={'x-api-key': API_KEY},
json={'platform': 'google', 'query': query},
timeout=10 + (attempt * 5)) # Increasing timeout per retry
if resp.status_code == 429:
wait = 2 ** attempt
print(f'Rate limited, waiting {wait}s...')
time.sleep(wait)
continue
resp.raise_for_status()
data = resp.json()
results = data.get('organic_results', [])
if results:
return {'results': results, 'source': 'scavio', 'attempt': attempt + 1}
except requests.Timeout:
print(f'Timeout on attempt {attempt + 1}')
except requests.RequestException as e:
print(f'Error on attempt {attempt + 1}: {e}')
return {'results': [], 'source': 'none', 'attempt': max_retries + 1}
result = search_with_fallback('latest python release')
print(f"Source: {result['source']}, Attempt: {result['attempt']}, Results: {len(result['results'])}")步骤 3: 与 Hermes 代理集成
将 Hermes 代理中的默认搜索工具替换为启用后备的版本。
Python
class HermesSearchTool:
"""Fallback-enabled search tool for Hermes v0.12 agents."""
def __init__(self, api_key: str):
self.api_key = api_key
self.stats = {'calls': 0, 'retries': 0, 'failures': 0}
def search(self, query: str) -> list:
self.stats['calls'] += 1
result = search_with_fallback(query)
if result['attempt'] > 1:
self.stats['retries'] += 1
if not result['results']:
self.stats['failures'] += 1
return [{
'title': r.get('title', ''),
'snippet': r.get('snippet', ''),
'url': r.get('link', ''),
} for r in result['results'][:5]]
def get_stats(self) -> dict:
return self.stats
tool = HermesSearchTool(API_KEY)
results = tool.search('hermes agent grounding')
print(f'Results: {len(results)}')
print(f'Stats: {tool.get_stats()}')步骤 4: 添加健康检查端点
创建健康检查来监控搜索可用性并在降级时发出警报。
Python
def health_check() -> dict:
"""Quick health check for search API availability."""
test_queries = ['test', 'hello world', 'python']
healthy = 0
total_latency = 0
for q in test_queries:
diag = diagnose_search(q)
if diag['has_data']:
healthy += 1
total_latency += diag['latency_ms']
avg_latency = total_latency // len(test_queries)
status = {
'healthy': healthy == len(test_queries),
'success_rate': f'{healthy}/{len(test_queries)}',
'avg_latency_ms': avg_latency,
'status': 'ok' if healthy == len(test_queries) else 'degraded' if healthy > 0 else 'down',
}
print(f"Search health: {status['status']} ({status['success_rate']} ok, {status['avg_latency_ms']}ms avg)")
return status
health_check()Python 示例
Python
import requests, os, time
H = {'x-api-key': os.environ['SCAVIO_API_KEY']}
def search_safe(query, retries=2):
for i in range(retries + 1):
try:
r = requests.post('https://api.scavio.dev/api/v1/search', headers=H,
json={'platform': 'google', 'query': query}, timeout=10 + i*5)
results = r.json().get('organic_results', [])
if results: return results[:5]
except: pass
time.sleep(2 ** i)
return []
print(search_safe('test query'))JavaScript 示例
JavaScript
const H = {'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json'};
async function searchSafe(query, retries = 2) {
for (let i = 0; i <= retries; i++) {
try {
const r = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: H,
body: JSON.stringify({platform: 'google', query})
});
const results = (await r.json()).organic_results || [];
if (results.length) return results.slice(0, 5);
} catch(e) {}
await new Promise(r => setTimeout(r, 1000 * Math.pow(2, i)));
}
return [];
}
searchSafe('test query').then(console.log);预期输出
JSON
A Hermes v0.12 agent with reliable search grounding that retries on failure, handles rate limits gracefully, and includes health monitoring for proactive issue detection.