Ollama / Ollama

Ollama Codex App integration ignores model num_ctx setting, generates excessively large context_window causing severe slowdown

Developers running local Ollama models via Codex App notice extreme slowdowns; root cause is Codex App not reading model parameter num_ctx and defaulting to max context sizes Includes evidence for Ollama troubleshooting demand.

Source-backed Last updated May 17, 2026 1 source Needs local verification

Category: Ollama
Error signature: Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models
Quick fix: Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Updated: May 17, 2026
Verification status: Source-backed
Evidence: 1 public source URL

Before you change production

This page includes public source URLs in the imported troubleshooting record. Compare those references with your version and environment before applying changes.

Reproduce the smallest failing action and save non-secret logs before changing configuration.
Check versions for Ollama, related SDKs, package managers, CI runners, and hosting providers.
Change one setting or dependency at a time, then rerun the same failing command or request.
Avoid destructive commands, credential rotation, billing changes, or security relaxations without a rollback plan.

What this error means

Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models is a Ollama failure pattern reported for developers trying to developers running local ollama models via codex app notice extreme slowdowns; root cause is codex app not reading model parameter num_ctx and defaulting to max context sizes. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub ollama/ollama issue #16188 (created 2026-05-16, updated 2026-05-16) filed against Ollama repo. Directly affects AI coding tool users. Local LLM serving is growing commercial interest area. Category: Ollama (local LLM serving, AI coding tools workflow).

Common causes

GitHub ollama/ollama issue #16188 (created 2026-05-16, updated 2026-05-16) filed against Ollama repo. Directly affects AI coding tool users. Local LLM serving is growing commercial interest area. Category: Ollama (local LLM serving, AI coding tools workflow).

Quick fixes

Confirm the exact error signature matches Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models.
Check the Ollama account, local tool state, and provider configuration involved in the failing workflow.
Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.

Platform/tool-specific checks

Verify the command, editor, extension, or API client that produced the error.
Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
Avoid deleting credentials, local model data, or project settings until the failing scope is clear.

Step-by-step troubleshooting

Capture the exact error message and the command, editor action, or request that triggered it.
Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
Review the source evidence below and compare it with your environment.
Apply one change at a time and rerun the smallest failing action.
Keep the working fix documented for the team or deployment environment.

How to prevent it

Keep provider/tool configuration documented.
Record non-secret diagnostics such as tool version, provider name, model name, and command path.
Add a lightweight check before CI or production workflows depend on the tool.

Diagnostic flow for this page

Match Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models exactly before applying the quick fix.
Compare the failing environment with Ollama versions, account scope, provider settings, and deployment context.
Check the listed common causes in order, starting with the cause that best matches your logs.
Use the evidence status below to decide whether to confirm against public sources or official documentation.
Apply one reversible change, rerun the smallest failing action, and keep rollback notes.

FAQ

What does Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models mean in Ollama?

Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models indicates the workflow described by "Ollama Codex App integration ignores model num_ctx setting, generates excessively large context_window causing severe slowdown" failed in a Ollama context. Start by confirming the exact signature and the component that emitted it.

What should I check first for Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models?

Check whether this cause matches your environment: GitHub ollama/ollama issue #16188 (created 2026-05-16, updated 2026-05-16) filed against Ollama repo. Directly affects AI coding tool users. Local LLM serving is growing commercial interest area. Category: Ollama (local LLM serving, AI coding tools workflow).

Is the Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models guidance source-backed?

The "Ollama Codex App integration ignores model num_ctx setting, generates excessively large context_window causing severe slowdown" page is labeled source-backed. It has 1 public source URL from github.com, so use that evidence status when deciding how much additional verification you need.

When should I avoid the quick fix for Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models?

For "Ollama Codex App integration ignores model num_ctx setting, generates excessively large context_window causing severe slowdown", avoid applying "Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests." when the error text differs, the affected version or provider is different, or the change would touch credentials, billing, DNS, production deploy settings, or irreversible data.

What should I collect before debugging Codex App sends requests with context_window=128000-262144 tokens instead of model's configured num_ctx (e.g., 32768) — causing severe generation slowdowns on local models?

For "Ollama Codex App integration ignores model num_ctx setting, generates excessively large context_window causing severe slowdown", collect the failing Ollama command or request, non-secret configuration, versions, timestamps, request IDs when available, and the smallest reproduction that still triggers the signature.