My Atlas lead machine is failing to generate leads due to two critical issues: Proxy request failed with connect ECONNREFUSED [ip]:44445 errors, and The operation was aborted due to timeout. These failures are directly blocking BD-SERP searches. The atlas-lead-machine.log shows [BD-SERP] gimnasio Panama City → 500: {"status_code":500,"error":"Proxy request failed","error_code":"unknown_proxy_error","details":"connect ECONNREFUSED [ip]:44445"} and [BD-SERP] fetch error for "spa Panama City": The operation was aborted due to timeout. This means my lead generation process, which is designed to stage new leads, is encountering a hard stop at the data acquisition layer. The latest run looked at 31 potential leads but only staged 2, with 18 already in CRM and 13 having no email. The core problem is not lead quality, but the inability to complete the initial search.
Diagnosing the ECONNREFUSED Error
The ECONNREFUSED error is unambiguous: the connection attempt to the proxy server on port 44445 was actively rejected. This isn't a timeout; it's a refusal. This indicates one of several possibilities:
1. Proxy Server Down: The proxy service itself is not running or crashed.
2. Firewall Block: A firewall on the proxy server or an intermediary network device is blocking connections to port 44445.
3. Incorrect IP/Port: The [ip]:44445 target is incorrect or refers to a service that is not a proxy.
Given that the cto-aipa process, which likely orchestrates these searches, has seen 183 restarts in the last day, compared to algom-poll with 0 restarts over 69 days, there's an underlying instability. While cto-aipa is currently online and using 219 MB of memory, its restart count suggests it might be struggling to maintain its connections or recover gracefully from network issues. The latest commit to cto-aipa was 5325e2c on 2026-10-05, related to "selling: 2 Atlas lead draft(s) + registry (auto)", indicating active development on the lead generation pipeline, but not necessarily on the proxy stability itself.
Addressing Timeout Failures
The The operation was aborted due to timeout error points to a different problem. Unlike ECONNREFUSED, a timeout means the connection was attempted, but no response was received within the allotted time. This can be caused by:
1. Slow Proxy Response: The proxy server is overwhelmed or slow to respond.
2. Network Latency/Congestion: High latency or packet loss between my server and the proxy.
3. Insufficient Timeout Settings: The atlas-lead-machine process has too short a timeout configured for its HTTP requests.
The atlas-lead-machine.log shows [lead-machine] done · staged 2 · looked at 31 · no-email 13 · already-in-CRM 18 · outside-band 2 · audit-failed 0 · crawler-blocked rescued 0. The low number of staged leads (2) from 31 looked at indicates a significant bottleneck. The timeouts contribute directly to this, as searches are abandoned before they can return results. I need to investigate the network path to the proxy and the proxy's own performance metrics.
Impact on Lead Generation and CRM
The direct consequence of these proxy connection failures is a stalled lead generation pipeline. My atlas-ga4-sync.log shows "GA4 sync: 0 atlas_ rows for 2026-10-02", "GA4 sync: 0 atlas_ rows for 2026-10-03", and "GA4 sync: 0 atlas_ rows for 2026-10-04". This indicates no new atlas_ rows are being generated, which aligns with the lead machine's inability to stage new leads.
The atlas-outcomes.log confirms this with "staged": 0, "sent": 0 in its latest entry, although it does show pushed to Atlas: {"ok":true,"lanes":7}. This suggests that while the system can push to Atlas, there's nothing new to push because the initial data acquisition is failing.
My HubSpot deals currently show 145 deals at the "They replied" stage, and 0 deals closed won. While not directly caused by the proxy issues, a healthy lead flow is crucial for moving deals through the pipeline. The current block on new leads will eventually impact these numbers.
Operational Stability and Agent Communication
The pm2 jlist output shows 9 processes online, which is good. However, the algom-stream process has 55193 restarts over 50 days, and cto-aipa has 183 restarts over 1 day. This contrasts sharply with algom-poll (0 restarts, 69 days) and n8n (0 restarts, 53 days). This disparity points to specific instability within certain components, particularly those involved in data streaming or AI orchestration.
My NOW.md file highlights a critical constraint: "Cursor Cloud, Cursor Desktop and Claude Code all work this repo and none of them can see each other's chats. No shared conversation, no Claude MCP in Cursor, no way to send the other agent a message." This fragmented communication between AI agents means that insights or resolutions found by one agent (e.g., debugging a proxy issue) cannot be directly communicated to another. This forces me to act as the central coordinator, translating findings and applying fixes across different environments. The aideazz repository has seen 4 commits in the last 48 hours, including cec2cc6 and 143ff4a for "ai-ops-wiki: refresh journal + AEO surfaces", indicating I am actively documenting and managing these operational challenges.
Next Steps for Resolution
1. Verify Proxy Server Status: Immediately check the status of the proxy server at [ip]:44445. Is it running? Is the port open?
2. Firewall Configuration Review: Ensure no firewall rules are inadvertently blocking outbound connections from my server or inbound connections to the proxy on port 44445.
3. Increase Timeout Settings: For the atlas-lead-machine process, I will increase the timeout for HTTP requests to the proxy. This might convert some ECONNREFUSED errors into timeouts, but it will also allow more time for slow proxy responses.
4. Proxy Performance Monitoring: If the proxy is managed by a third party, I need to review their status page or contact support. If it's self-hosted, I need to implement monitoring for its resource utilization and network latency.
5. Network Path Analysis: Use tools like traceroute or mtr to diagnose network latency or packet loss between my Oracle Cloud instance and the proxy server.
These steps will help isolate whether the problem lies with the proxy server itself, the network path, or the configuration of my atlas-lead-machine.
Frequently Asked Questions
Q: What is the immediate impact of ECONNREFUSED on lead generation?
A: The ECONNREFUSED error immediately halts the BD-SERP search for a specific query, preventing any leads from being identified or staged from that particular search. The atlas-lead-machine.log shows this directly blocking searches like "gimnasio Panama City".
Q: How do ECONNREFUSED and timeout errors differ in their implications?
A: ECONNREFUSED means the connection was actively rejected, often indicating a server is down or a firewall is blocking. A timeout means the connection was attempted but no response was received within a set duration, suggesting network latency, congestion, or an overloaded server. Both prevent lead acquisition but point to different root causes.
Q: What is the current lead staging rate given these errors?
A: The atlas-lead-machine.log indicates that out of 31 potential leads looked at in the latest run, only 2 were staged. This low rate is a direct consequence of the connection refusals and timeouts.
Q: Does the cto-aipa restart count relate to these proxy issues?
A: The cto-aipa process has 183 restarts in the last day. While not directly confirmed as the cause of proxy issues, such instability in an orchestration process can lead to dropped connections or improper handling of network errors, potentially contributing to the observed failures.
Q: How does the NOW.md constraint affect debugging these issues?
A: The NOW.md file highlights that my AI agents (Cursor, Claude Code) cannot communicate with each other. This means that any diagnostic insights or temporary fixes discovered by one agent cannot be automatically shared, requiring manual intervention from me to consolidate information and apply solutions.