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"body": "## Context\n\nRaised in #nixmac on May 28, 2026 ([Slack thread](<https://darkmatter-labs.slack.com/archives/C0A8AF4T01L>)):\n\nScott McMaster hit a `ContextWindowExceededError` when using `gpt-oss-120b` on the self-hosted vLLM instance:\n\n```\nThis model's maximum context length is 65536 tokens. However, you requested 65000 output tokens...\n```\n\nCooper fixed the immediate issue by changing the vLLM default. However, Cas raised the broader question:\n\n> \"From a user perspective I think iterations limit could be explained better and adding a token limitation on top (if feasible across different models) is a decent courtesy to offer.\"\n\nCurrently, nixmac sends `max_tokens: 65000` by default for evolution calls, which fills the entire context window for models with a 65536-token limit, leaving no room for the input prompt.\n\n## Scope\n\n* Allow configuring `max_output_tokens` per provider or model in the evolution settings (complementing the existing `maxIterations`/`maxBuildAttempts`)\n* Set a sensible default that doesn't fill the entire context window (e.g., 16384 or 32768)\n* Expose this in the developer settings panel (similar to `EvolutionLimits`)\n* Document how to configure this for self-hosted vLLM users\n\n## Acceptance Criteria / Gherkin Specs\n\n```gherkin\nScenario: Default max_output_tokens does not cause context overflow on typical models\n Given a local vLLM model with a 65536-token context window\n When an evolution prompt is 500 tokens\n Then the default max_output_tokens does not exceed 65036\n And no ContextWindowExceededError occurs at typical prompt sizes\n\nScenario: User can configure max_output_tokens in developer settings\n Given I open the Developer settings panel\n Then there is a \"Max output tokens\" field\n When I change it and start an evolution\n Then nixmac sends the configured value as max_tokens in the API request\n\nScenario: Evolution fails with a clear error if max_output_tokens is misconfigured\n Given max_output_tokens is set higher than the model's context window\n When an evolution is started\n Then nixmac shows a clear configuration error explaining the token limit issue\n And suggests a corrective action (lower max_output_tokens or switch models)\n```",
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