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fix: preserve custom provider context limits (#79911)

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Peter Steinberger
2026-05-10 09:46:22 +01:00
parent 17b593d123
commit faa1c6f972
3 changed files with 16 additions and 9 deletions
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1
CHANGELOG.md
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@@ -21,6 +21,7 @@ Docs: https://docs.openclaw.ai
### Fixes
- CLI/onboarding: give non-Azure custom providers a safe generated context window and heal legacy 4k wizard entries without overwriting explicit valid small model limits, preventing first-turn compaction loops. Fixes #79428. (#79911) Thanks @Jefsky.
- Ollama: stop native `/api/chat` requests from copying catalog `contextWindow` or `maxTokens` into `options.num_ctx` unless `params.num_ctx` is explicitly configured, avoiding pathological prompt-ingestion latency on local large-context models. Fixes #62267. Thanks @BenSHPD.
- Ollama: keep the model idle watchdog enabled for `*:cloud` models routed through a local Ollama host, so cloud-backed tool-loop stalls fail over visibly instead of inheriting local-model no-idle behavior. Fixes #79350. Thanks @geek111.
- Voice/Ollama: honor routed voice agent `tools.allow` for classic embedded voice responses, including empty allowlists, so no-tool Ollama agents do not receive tool schemas. Fixes #79506. Thanks @donkeykong91.

7
src/commands/onboard-custom-config.test.ts
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@@ -117,10 +117,15 @@ describe("applyCustomApiConfig", () => {
expectedContextWindow: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,
},
{
name: "raises context window below stable default compaction floor (#79428)",
name: "raises legacy generated hard-min context window (#79428)",
existingContextWindow: CONTEXT_WINDOW_HARD_MIN_TOKENS,
expectedContextWindow: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS,
},
{
name: "preserves explicit small context window when already valid",
existingContextWindow: 8192,
expectedContextWindow: 8192,
},
{
name: "preserves existing custom model context window when already above minimum",
existingContextWindow: 131072,

17
src/commands/onboard-custom-config.ts
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@@ -15,10 +15,10 @@ import { normalizeAlias } from "./models/alias-name.js";
/**
* Wizard default for non-Azure custom APIs when context length is unknown.
* Must exceed the compaction `reserveTokensFloor` default (20000 tokens) in
* `agent-runner-memory.ts`, or the first turns enter an infinite compact loop (#79428).
* Mirrors the generic persisted custom-model catalog fallback and leaves enough
* room above the default compaction reserve floor in `pi-settings.ts`.
*/
export const CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS = 32_768;
export const CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS = 128_000;
const DEFAULT_CONTEXT_WINDOW = CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS;
const DEFAULT_MAX_TOKENS = 4096;
// Azure OpenAI uses the Responses API which supports larger defaults
@@ -32,11 +32,12 @@ export type CustomModelImageInputInference = {
function normalizeContextWindowForCustomModel(value: unknown): number {
const parsed = typeof value === "number" && Number.isFinite(value) ? Math.floor(value) : 0;
const atLeastHardMin =
parsed >= CONTEXT_WINDOW_HARD_MIN_TOKENS
? parsed
: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS;
return Math.max(atLeastHardMin, CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS);
if (parsed <= 0 || parsed === CONTEXT_WINDOW_HARD_MIN_TOKENS) {
return CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS;
}
return parsed >= CONTEXT_WINDOW_HARD_MIN_TOKENS
? parsed
: CUSTOM_PROVIDER_DEFAULT_CONTEXT_WINDOW_TOKENS;
}
function customModelInputs(supportsImageInput: boolean): CustomModelInput[] {