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fix(ollama): omit num_ctx unless caller sets it - #1389

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mozilla-ai:mainfrom
kartsan03:fix/ollama-omit-default-num-ctx
Sep 21, 2026
Merged

njbrake merged 2 commits into
mozilla-ai:mainfrom
kartsan03:fix/ollama-omit-default-num-ctx

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@kartsan03

@kartsan03 kartsan03 commented Sep 11, 2026 •

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Description

Stop injecting a hard-coded num_ctx=32000 when the caller did not set one.

Ollama should choose its own default context size. Forcing 32000 allocates a huge KV cache and OOMs small hosts (real-world report: jonigl/mcp-client-for-ollama#305, RPi 5 8GB). Callers that pass an explicit num_ctx still get it unchanged. An explicit None is treated as unset and omitted.

PR Type

  • 🐛 Bug Fix

Relevant issues

Related consumer impact: jonigl/mcp-client-for-ollama#305

Checklist

  • I understand the code I am submitting.
  • I have added unit tests that prove my fix/feature works
  • I have run this code locally and verified it fixes the issue.
  • New and existing tests pass locally
  • Documentation was updated where necessary
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Tests

  • uv run pytest tests/unit/providers/test_ollama_provider.py -q → 85 passed
  • uv run pytest tests/unit -q → 2500 passed, 6 failed (pre-existing bedrock/sagemaker collection/load issues unrelated to this Ollama-only diff)

Summary by CodeRabbit

  • Bug Fixes
    • Ollama requests now use the service’s default context length when no context size is specified.
    • Explicitly provided context sizes continue to be passed through correctly for both streaming and non-streaming requests.

Stop injecting 32000 when unset so Ollama keeps its default and small
hosts are not OOM killed (jonigl/mcp-client-for-ollama#305).
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  • tests/unit/providers/test_ollama_provider.py

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Walkthrough

The Ollama provider no longer applies a default num_ctx value of 32000. It omits the option unless the caller provides a value. Tests cover conversion, streaming, non-streaming, and explicit values.

Changes

Ollama num_ctx handling

Layer / File(s) Summary
Parameter conversion contract
src/any_llm/providers/ollama/ollama.py, tests/unit/providers/test_ollama_provider.py
The conversion logic omits unset and None values. It preserves explicit num_ctx values.
Completion option propagation
tests/unit/providers/test_ollama_provider.py
Completion tests verify that streaming and non-streaming requests omit unset num_ctx values and pass explicit values to the client options.

Suggested reviewers: jonigl

Priority: ➖ Normal

Change: Bug fix

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 11.11% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 9 functions across 2 files. Write docstrings for the functions missing them to satisfy the coverage threshold.
✅ Passed checks (4 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly and concisely describes the main change: omitting num_ctx unless the caller sets it.
Description check ✅ Passed The description follows the repository template, explains the bug and expected behaviour, identifies the change as a bug fix, documents AI usage, and includes test results. The six unrelated full-suit…
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
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Actionable comments posted: 1

🤖 Prompt for all review comments with AI agents
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Inline comments:
In `@tests/unit/providers/test_ollama_provider.py`:
- Line 940: Update the test covering explicit num_ctx to run in both streaming
and non-streaming modes by parametrizing the stream setting, and assert that
each path propagates num_ctx correctly through OllamaProvider._acompletion() and
_stream_completion_async().

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  • src/any_llm/providers/ollama/ollama.py
  • tests/unit/providers/test_ollama_provider.py

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Comment thread tests/unit/providers/test_ollama_provider.py Outdated
@jonigl

jonigl commented Sep 11, 2026

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Hey 👋 ollmcp maintainer here, this is the fix for the report linked in the description.

ollmcp deliberately leaves num_ctx unset so Ollama picks its own context size, and since we moved to any-llm that intent is lost: the user in jonigl/mcp-client-for-ollama#305 was getting a 32000 context on a Raspberry Pi 5, a 3.5 GB KV cache and llama-server OOM killed on every tool call. The approach here looks right to me, and treating an explicit None as unset is what a client like ours needs. Happy to test a pre-release against ollmcp if that helps 🙌

The explicit-value test only exercised the non-streaming call. Streaming
forwards options through _stream_completion_async, a separate path, so
parametrize over stream the same way the omit test already does.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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njbrake deployed to integration-tests September 21, 2026 15:01 — with GitHub Actions Active
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Codecov Report

✅ All modified and coverable lines are covered by tests.

Files with missing lines Coverage Δ
src/any_llm/providers/ollama/ollama.py 87.20% <100.00%> (-8.68%) ⬇️

... and 50 files with indirect coverage changes

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Approved.

The 32000 override dated from when Ollama's default was a fixed 4096. Ollama now picks 4k/32k/256k from available VRAM, so the override both OOMs small hosts and caps large ones below what they can serve. Deferring to the server default is the right call, and it matches how every other provider in this repo treats params it was not given.

Pushed one commit parametrizing the explicit num_ctx test over streaming, since that path forwards options through a separate call.

Anyone relying on the old 32k should pass num_ctx per request or set OLLAMA_CONTEXT_LENGTH on the server. That will go in the release notes.

Note: this comment was drafted by Claude Opus 5 via back-and-forth with @njbrake. The reasoning and decisions are his; the prose is Claude's.

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njbrake merged commit 17e0424 into mozilla-ai:main Sep 21, 2026
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@github-actions github-actions Bot added the 1.29.0 Included in release 1.29.0 label Sep 24, 2026

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integration-tests — a5254118 Deployed Sep 21, 2026 by njbrake via run-docs-tests #3070
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3 participants