My Atlas Lead Machine is failing to generate leads, specifically encountering an AI Agent Lead Generation Proxy Error. The atlas-lead-machine.log shows two distinct issues: connect ECONNREFUSED [ip]:44445 and "The operation was aborted due to timeout." These errors are preventing the system from staging leads, with the latest log showing "staged 2" leads after looking at 31, but also indicating 13 "no-email" and 18 "already-in-CRM" entries. This means the system is processing some data, but the core external data fetching is broken.
Diagnosing the ECONNREFUSED Error
The ECONNREFUSED error, specifically connect ECONNREFUSED [ip]:44445, points directly to a network-level issue. My atlas-lead-machine.log shows this for [BD-SERP] gimnasio Panama City. This isn't an application-level bug within my code; it means the connection attempt from my AI agent to the proxy server on port 44445 was actively rejected. The proxy server itself is either not running, not listening on that port, or a firewall is blocking the connection.
Given that the cto-aipa process, which likely orchestrates these agents, has seen 185 restarts and is only up for 0 days, it suggests recent instability or deployment. However, other core processes like algom-poll are up for 70 days with 0 restarts, and n8n is up for 54 days with 0 restarts. This indicates the server itself is generally stable, isolating the problem to the proxy or the specific agent configuration.
Addressing the Timeout Issue
Alongside the connection refusal, the log also shows "fetch error for "spa Panama City": The operation was aborted due to timeout." This is a different class of problem. While ECONNREFUSED is an immediate rejection, a timeout means the connection was attempted, but no response was received within the allotted time. This could be due to:
1. Proxy overload: The proxy server is too busy to respond.
2. Network latency: The path to the proxy or the target website is slow.
3. Target website issues: The website being scraped is slow to respond or intentionally delaying requests.
The atlas-lead-machine process last modified its log 27.4 hours ago, suggesting the problem has persisted for over a day. During this time, the atlas-ga4-sync.log shows "0 atlas_ rows" for the last three days (2026-10-03, 2026-10-04, 2026-10-05), indicating a complete halt in new lead data flowing into analytics.
Impact on Lead Generation and CRM
The direct consequence of these proxy errors is a stalled lead generation pipeline. The atlas-lead-machine.log shows "staged 2" leads, but also "no-email 13" and "already-in-CRM 18". While some internal processing happens, the critical external data fetching is failing.
My atlas-outcomes.log shows "staged": 0, "sent": 0, for the latest push to Atlas, which occurred 28.0 hours ago. This confirms that despite some internal staging, no new leads are successfully making it into the Atlas system.
Furthermore, the hs-watch-manual-emails.log shows a HubSpot rate limit error: GET /crm/v3/objects/deals/[id]?properties=dealname,dealstage → 429: {"status":"error","message":"You have reached your ten_secondly_rolling limit."}. This is a separate issue, but it highlights that even if leads were generated, other parts of the CRM integration are also encountering bottlenecks. I have 151 deals at "They replied" stage, but 0 deals closed won, indicating that the entire sales pipeline is struggling, not just the initial lead generation.
Next Steps for Resolution
My immediate focus is on the proxy. I will:
1. Verify Proxy Server Status: Check if the proxy server at the specified IP and port 44445 is actually running and listening. This involves checking the server logs for the proxy itself or attempting a direct connection from the AI agent's host.
2. Firewall Configuration: Ensure no firewall rules are blocking outbound connections from my AI agent to the proxy, or inbound connections to the proxy server.
3. Proxy Resource Utilization: If the proxy is running, monitor its CPU, memory, and network usage. High utilization could explain the timeouts.
4. Agent Configuration Review: Double-check the atlas-lead-machine configuration to ensure the proxy address and port are correct and that there are no recent changes that might have introduced an invalid proxy setting. The cto-aipa repo had a commit 5325e2c on 2026-10-05 related to "Atlas lead draft(s) + registry (auto)", which might be relevant to the lead machine's configuration.
The VibeJobHunterAIPA_AIMCF agent, which also uses external data, has seen 2 commits in the last 48 hours, including 83d8d04 on 2026-10-06 for "deliver again + search for the Professional Outlook roles". This suggests other agents are actively being developed and deployed, increasing the potential for shared infrastructure issues like proxy stability.
Frequently Asked Questions
Q: Is the proxy server itself down, or is it a network issue from the AI agent?
A: The ECONNREFUSED error indicates the proxy server actively refused the connection. This typically means the proxy service is not running on the specified port, or a firewall is blocking the connection at the proxy server's end, rather than a general network issue from the AI agent.
Q: How can I differentiate between a proxy overload and a slow target website for the timeout errors?
A: To differentiate, I would first monitor the proxy server's resource utilization (CPU, memory, network I/O). If the proxy is under heavy load, it's likely an overload. If the proxy is idle, I would then attempt to access the target websites directly from the proxy server's host to see if they are slow to respond independently.
Q: What is the typical restart frequency for the cto-aipa process?
A: The cto-aipa process has 185 restarts and has been up for 0 days. This is significantly higher than stable processes like algom-poll (0 restarts, up 70 days) or n8n (0 restarts, up 54 days), indicating recent instability.
Q: Are other AI agents experiencing similar proxy issues?
A: I do not have that measured directly in the provided logs. The atlas-lead-machine.log is the only one explicitly showing Proxy request failed and ECONNREFUSED. However, if the proxy is a shared resource, it's possible other agents relying on it could be silently failing or experiencing degraded performance.