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AI and Local Automation8 min•Difficulty: Intermedio

[AI-001] The local Ollama endpoint does not respond

Check the service, port and API route before changing the model or client application.

Ingeniería de Integraciones AnayilUpdated: 2026-10-10

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This answer covers “[AI-001] The local Ollama endpoint does not respond”. Read it with the summary and confirm that the symptom and service match what you are experiencing. Available options can vary by plan and account setup.

Before changing anything, note what you expected, what happened and roughly when. Check whether the issue affects one page or the whole service.
Save the full error message and note recent changes. Hide passwords, access codes, personal data and keys before sharing screenshots or logs.
If a step requires administrator access, restarting services or editing server files, stop if you do not administer that server. Send support the service name, error and checks you have already made.

L3 technical diagnosis

Integration / security / operationsSeverity: Medium; high for data exposure or duplicated actions

User symptoms

The local integration fails when sending prompts even though the model appears installed.

Observed code or message

`ECONNREFUSED 127.0.0.1:11434` / HTTP 404

Likely root cause

Ollama may be stopped, the URL may target a different network namespace, the API path may be wrong, or the service may listen on another interface. `localhost` inside a container refers to that container, not the host.

Likely-cause and resolution matrix

Follow a branch only when evidence supports it. A symptom may have more than one cause; do not change layers by guesswork.

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How to diagnose (read-only):

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Prerequisites

Authorised access to the involved runtime, provider or automation.
A test environment and synthetic data; never use customer prompts for diagnostics.
A technical owner who can approve network, secret, GPU or resource changes.

Important warnings

Do not expose local inference endpoints or webhooks without appropriate authentication, TLS and limits. Never put API keys, private prompts or personal data in commands, screenshots or logs.
Commands are diagnostic references. Production changes, Docker/firewall rules and credential rotation require service-owner authorisation.

Step-by-step walkthrough

1. Confirm the symptom and scope

The local integration fails when sending prompts even though the model appears installed. From the same runtime making the request, query the API tags endpoint and inspect the service. Do not expose the port to the Internet to test connectivity.

bash

systemctl is-active ollama
curl -fsS --max-time 3 http://127.0.0.1:11434/api/tags

Expected output:

`ECONNREFUSED 127.0.0.1:11434` / HTTP 404

2. Correct the responsible component

Confirm installation and service status with the administrator, then validate the URL from the application's network namespace. If both processes run in Docker, use a shared private network and service name; keep the port bound to loopback or protected by a firewall.

3. Verify and close exposure

The same process identity retrieves `/api/tags` with HTTP 200 and the application receives a controlled response without exposing the port on a public interface.

Expected output:

The check confirms the expected result without exposing services or data.

Troubleshooting & Solutions

`ECONNREFUSED 127.0.0.1:11434` / HTTP 404

Root cause: Ollama may be stopped, the URL may target a different network namespace, the API path may be wrong, or the service may listen on another interface. `localhost` inside a container refers to that container, not the host.

Resolution: Confirm installation and service status with the administrator, then validate the URL from the application's network namespace. If both processes run in Docker, use a shared private network and service name; keep the port bound to loopback or protected by a firewall.

Rollback and recovery plan

Restore the last approved configuration, stop the affected workflow and revoke any exposed credential. If real data was processed through an unauthorised path, retain minimal redacted records and follow the internal incident-response process.

Related runbooks in this category:

[AI-002] The Docker application cannot reach the local model8 min [AI-003] Model download fails because of disk space or incomplete storage8 min [AI-004] The inference runtime does not detect the GPU8 min

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