Imported from saariuslystoned/OpenShell-grok (.agents/skills/debug-inference/SKILL.md). Install upstream with npx skills add saariuslystoned/OpenShell-grok --skill debug-inference. Copyright stays with the author.

Debug Inference

Diagnose why OpenShell inference is failing and recommend exact fix commands.

Use openshell CLI commands to inspect the active gateway, provider records, managed inference config, and sandbox behavior. Use a short sandbox probe when needed to confirm end-to-end routing.

Overview

OpenShell supports three inference paths. Diagnose the correct one first.

1. Managed inference through https://inference.local
   • Configured by openshell inference set
   • Shared by every sandbox on the active gateway
   • Credentials and model are injected by OpenShell
2. Direct external inference to hosts like api.openai.com
   • Controlled by network_policies
   • Requires the application to call the external host directly
   • Requires provider attachment and network access to be configured separately
3. System inference used by platform functions
   • Configured by openshell inference set --system
   • Uses the sandbox-system route
   • Consumed in-process by the sandbox supervisor and not exposed to sandbox user code through inference.local

For local or self-hosted engines such as Ollama, vLLM, SGLang, TRT-LLM, and many NIM deployments, the most common managed inference pattern is an openai provider with OPENAI_BASE_URL pointing at a host the gateway can reach.

Prerequisites

• openshell is on the PATH
• The active gateway is running
• You know the failing setup, or can infer it from commands and config

Tools Available

Use these commands first:

# Which gateway is active, and can the CLI reach it?
openshell status

# Show both the user-facing and system inference routes
openshell inference get

# Show only the supervisor-only system route
openshell inference get --system

# Inspect the provider record referenced by the relevant route
openshell provider get <provider-name>

# Inspect gateway topology details when remote/local confusion is suspected
openshell gateway info

# Run a minimal end-to-end probe from a sandbox
openshell sandbox create -- curl https://inference.local/v1/chat/completions --json '{"messages":[{"role":"user","content":"hello"}],"max_tokens":10}'

Workflow

When the user asks to debug inference, run diagnostics automatically in this order. Stop and report findings as soon as a root cause is identified.

Determine Context

Establish these facts first:

1. Is sandbox code calling https://inference.local, is the application calling a direct external host, or is a platform function using system inference?
2. Which gateway is active, and is it local, remote, or cloud?
3. Which provider, model, and timeout are configured for the relevant route?
4. Is the upstream local to the gateway host, or somewhere else?

Step 0: Check the Active Gateway

Run:

openshell status
openshell gateway info

Look for:

• Active gateway name and endpoint
• Whether the gateway is local or remote
• Whether host.openshell.internal would point to the local machine or a remote host

Common mistake:

• Laptop-local model + remote gateway: host.openshell.internal points to the remote gateway host, not your laptop. A laptop-local Ollama or vLLM server will not be reachable without a tunnel or shared reachable network path.

Step 1: Check Whether the Relevant Route Is Configured

Run:

openshell inference get
openshell inference get --system

Interpretation:

• openshell inference get shows both the user-facing inference.local route and the system route. --system isolates the system route.

• The inference.local route is Not configured: managed inference has no backend. Configure it without --system:

  openshell inference set --provider <name> --model <id>

• System inference is Not configured: platform functions have no system backend. Configure it separately:

  openshell inference set --system --provider <name> --model <id>

• Provider, model, and timeout shown: Continue to provider inspection for the relevant route.

Step 2: Inspect the Provider Record

Run:

openshell provider get <provider-name>

Check:

• Provider type matches the client API shape and is supported for managed inference
  • openai for OpenAI-compatible engines such as Ollama, vLLM, SGLang, TRT-LLM, and many NIM deployments
  • anthropic for Anthropic Messages API
  • nvidia for NVIDIA-hosted OpenAI-compatible endpoints
  • deepinfra for DeepInfra's OpenAI-compatible endpoint
  • google-vertex-ai for Vertex AI; Claude models use Anthropic Messages and other models use OpenAI Chat Completions
  • aws-bedrock only through a configured Bedrock-compatible bridge today
• Required credential key exists
• *_BASE_URL override is correct when using a self-hosted endpoint

Fix examples:

openshell provider create --name ollama --type openai --credential OPENAI_API_KEY=empty --config OPENAI_BASE_URL=http://host.openshell.internal:11434/v1

openshell provider update ollama --credential OPENAI_API_KEY=empty --config OPENAI_BASE_URL=http://host.openshell.internal:11434/v1

provider update preserves the provider type and does not accept --type. Prefer bare credential keys, such as --credential OPENAI_API_KEY, when reading a real secret from the CLI environment.

Step 3: Check Local Host Reachability

For host-backed local inference, confirm the upstream server:

• Binds to 0.0.0.0, not only 127.0.0.1
• Runs on the same machine as the gateway
• Is reachable through host.openshell.internal, the host's LAN IP, or another reachable hostname

Common mistakes:

• Base URL uses 127.0.0.1 or localhost: usually wrong for managed inference. Replace with host.openshell.internal or the host's LAN IP.
• Server binds only to loopback: reconfigure it to bind to 0.0.0.0.
• Inference engine runs as a system service: changing the bind address may require updating the service configuration and restarting the service before the new listener becomes reachable.

Step 4: Check Request Shape

User-facing managed inference only works for https://inference.local and supported inference API paths.

Supported patterns include:

• POST /v1/chat/completions
• POST /v1/completions
• POST /v1/responses
• POST /v1/embeddings
• POST /v1/messages
• GET /v1/models
• GET /v1/models/*
• POST /model/{modelId}/invoke for bridge-fronted aws-bedrock

Common mistakes:

• Wrong scheme: http://inference.local instead of https://inference.local
• Unsupported path: request does not match a known inference API
• Protocol mismatch: Anthropic client against an openai provider, or vice versa
• Provider-specific mismatch: Vertex Claude requests must use /v1/messages; other Vertex models currently use /v1/chat/completions; Bedrock uses its model-in-path invoke shape

Fix guidance:

• Use a supported path and provider type
• Point OpenAI-compatible SDKs at https://inference.local/v1
• If the SDK requires an API key, pass any non-empty placeholder such as test

Step 5: Probe from a Sandbox

This probe validates the user-facing inference.local route. It does not exercise supervisor-only system inference.

Run a minimal request from inside a sandbox:

openshell sandbox create -- curl https://inference.local/v1/chat/completions --json '{"messages":[{"role":"user","content":"hello"}],"max_tokens":10}'

Interpretation:

• cluster inference is not configured: set the managed gateway route with openshell inference set
• connection not allowed by policy on inference.local: unsupported method or path
• no compatible route: provider type and client API shape do not match
• Connection refused / upstream unavailable / verification failures: base URL, bind address, topology, or credentials are wrong

For system inference failures, inspect the platform function and sandbox supervisor/network logs after confirming openshell inference get --system. User code cannot call the sandbox-system route directly.

Step 6: Reapply or Repair the Managed Route

After fixing the provider, use update for a partial change or set to replace the route:

openshell inference set --provider <name> --model <id>
openshell inference update --provider <name>
openshell inference update --model <id>
openshell inference update --timeout 120

Add --system to target the system route. Without it, these commands target inference.local. A timeout of 0 uses the 60-second default; increase it for models with long reasoning or idle streaming phases.

If the endpoint is intentionally offline and you only want to save the config:

openshell inference set --provider <name> --model <id> --no-verify

Use --no-verify only when the endpoint is intentionally offline or the provider protocol cannot be verified, such as the current bridge-fronted Bedrock flow. Inference updates are hot-reloaded to running sandboxes within about 5 seconds by default.

Step 7: Diagnose Direct External Inference

If the application calls api.openai.com, api.anthropic.com, or another external host directly, this is not a managed inference issue.

Check instead:

1. The application is configured to call the external hostname directly
2. A provider with the needed credentials exists
3. The sandbox has that provider attached (openshell sandbox provider list [name])
4. network_policies allow that host, port, and HTTP rules

If the response reports credential_endpoint_mismatch, the provider is attached but its credential profile does not authorize that request recipient. Run openshell provider get <provider-name> to identify the provider type, then inspect its profile endpoints with openshell provider profile export <type> -o yaml. That export uses the current workspace scope; add --global when the provider was created with --global-profile. Compare the profile's endpoint host, port, and path with the direct request. Correct the provider selection or profile endpoint when that recipient is intentional. Do not widen the sandbox network policy to work around the mismatch: policy admission and credential endpoint authorization are separate checks, and the provider profile should authorize only intended credential recipients.

If the response reports request_authority_mismatch, compare the HTTP request authority with the CONNECT tunnel endpoint. The host and effective port must match. For a tunnel to api.example.com:8443, send Host: api.example.com:8443; omitting the non-default port makes the request authority use the transport default and OpenShell rejects it. An absolute-form request target must use the same authority.

Attach or detach a provider on an existing sandbox with openshell sandbox provider attach <sandbox> <provider> and openshell sandbox provider detach <sandbox> <provider>.

Use the generate-sandbox-policy skill when the user needs help authoring policy YAML.

Fix: Local Host Inference Timeouts (Firewall)

Use this fix when a sandbox can reach https://inference.local, but OpenShell reports an upstream timeout against a host-local backend such as Ollama.

Example symptom:

{"error":"request to http://host.docker.internal:11434/v1/models timed out"}

When This Happens

This failure commonly appears on Linux hosts that:

• Run the OpenShell gateway in Docker
• Route inference.local to a host-local OpenAI-compatible endpoint such as Ollama
• Have a host firewall or networking configuration that denies container-to-host traffic by default

In this case, OpenShell routing is usually working correctly. The failing hop is container-to-host traffic on the backend port.

Why CoreDNS Is Not the Cause

This is not the same issue as the Colima CoreDNS fix.

OpenShell injects host.docker.internal and host.openshell.internal into sandbox workloads when the selected compute platform supports it. That path bypasses runtime DNS lookup. If the request still times out, the usual cause is host firewall or network policy, not DNS.

Verify the Problem

1. Confirm the model server works on the host:

   curl -sS http://127.0.0.1:11434/v1/models

2. Confirm the host gateway address also works on the host:

   curl -sS http://172.17.0.1:11434/v1/models

3. Test the same endpoint from a gateway or sandbox container on the Docker network:

   docker ps --filter name=openshell --format '{{.Names}}'
   docker exec <container-name> wget -qO- -T 5 http://host.docker.internal:11434/v1/models

If steps 1 and 2 succeed but step 3 times out, the host firewall or network configuration is blocking the container-to-host path.

Fix

Allow the Docker bridge network used by the OpenShell gateway and sandbox containers to reach the host-local inference port. The exact command depends on your firewall tooling (iptables, nftables, firewalld, UFW, etc.), but the rule should allow:

• Source: the Docker bridge subnet used by OpenShell containers (commonly 172.18.0.0/16)
• Destination: the host gateway IP injected into sandbox workloads for host.docker.internal (commonly 172.17.0.1)
• Port: the inference server port (e.g. 11434/tcp for Ollama)

To find the actual values on your system:

# Docker bridge subnet for the OpenShell network
docker network inspect $(docker network ls --filter name=openshell -q) --format '{{range .IPAM.Config}}{{.Subnet}}{{end}}'

# Host gateway IP visible from inside the container
docker exec <container-name> cat /etc/hosts | grep host.docker.internal

Adjust the source subnet, destination IP, or port to match your local Docker network layout.

Verify the Fix

1. Re-run the container network check:

   docker exec <container-name> wget -qO- -T 5 http://host.docker.internal:11434/v1/models

2. Re-test from a sandbox:

   curl -sS https://inference.local/v1/models

Both commands should return the upstream model list.

If It Still Fails

• Confirm the backend listens on a host-reachable address: ss -ltnp | rg ':11434\b'
• Confirm the provider points at the host alias path you expect: openshell provider get <provider-name>
• Confirm the active inference route: openshell inference get
• Inspect sandbox logs for upstream timeout details: openshell logs <sandbox-name> --since 10m

Common Failure Patterns

Full Diagnostic Dump

Run this when you want a compact report before deciding on a fix:

echo "=== Gateway Status ==="
openshell status

echo "=== Gateway Info ==="
openshell gateway info

echo "=== Managed Inference ==="
openshell inference get

echo "=== System Inference Only ==="
openshell inference get --system

echo "=== Providers ==="
openshell provider list

echo "=== Selected Provider ==="
openshell provider get <provider-name>

echo "=== Sandbox Probe ==="
openshell sandbox create -- curl https://inference.local/v1/chat/completions --json '{"messages":[{"role":"user","content":"hello"}],"max_tokens":10}'

When you report back, state:

1. Which inference path is failing (inference.local, direct external, or system inference)
2. Whether gateway topology is part of the problem
3. The most likely root cause
4. The exact fix commands the user should run