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fix(core): ensure compaction is more reliable, add reserve token buffer to ensure that input window has enough room to compact (#12924)

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Co-authored-by: James Lal <james@littlebearlabs.io>
This commit is contained in:
Aiden Cline
2026-02-10 19:55:22 -06:00
committed by GitHub
parent 60bdb6e9ba
commit 0fd6f365be
16 changed files with 262 additions and 189 deletions
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94
packages/opencode/test/provider/transform.test.ts
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@@ -175,100 +175,6 @@ describe("ProviderTransform.options - gpt-5 textVerbosity", () => {
})
})
describe("ProviderTransform.maxOutputTokens", () => {
test("returns 32k when modelLimit > 32k", () => {
const modelLimit = 100000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/openai", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(OUTPUT_TOKEN_MAX)
})
test("returns modelLimit when modelLimit < 32k", () => {
const modelLimit = 16000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/openai", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(16000)
})
describe("azure", () => {
test("returns 32k when modelLimit > 32k", () => {
const modelLimit = 100000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/azure", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(OUTPUT_TOKEN_MAX)
})
test("returns modelLimit when modelLimit < 32k", () => {
const modelLimit = 16000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/azure", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(16000)
})
})
describe("bedrock", () => {
test("returns 32k when modelLimit > 32k", () => {
const modelLimit = 100000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/amazon-bedrock", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(OUTPUT_TOKEN_MAX)
})
test("returns modelLimit when modelLimit < 32k", () => {
const modelLimit = 16000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/amazon-bedrock", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(16000)
})
})
describe("anthropic without thinking options", () => {
test("returns 32k when modelLimit > 32k", () => {
const modelLimit = 100000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(OUTPUT_TOKEN_MAX)
})
test("returns modelLimit when modelLimit < 32k", () => {
const modelLimit = 16000
const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", {}, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(16000)
})
})
describe("anthropic with thinking options", () => {
test("returns 32k when budgetTokens + 32k <= modelLimit", () => {
const modelLimit = 100000
const options = {
thinking: {
type: "enabled",
budgetTokens: 10000,
},
}
const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", options, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(OUTPUT_TOKEN_MAX)
})
test("returns modelLimit - budgetTokens when budgetTokens + 32k > modelLimit", () => {
const modelLimit = 50000
const options = {
thinking: {
type: "enabled",
budgetTokens: 30000,
},
}
const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", options, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(20000)
})
test("returns 32k when thinking type is not enabled", () => {
const modelLimit = 100000
const options = {
thinking: {
type: "disabled",
budgetTokens: 10000,
},
}
const result = ProviderTransform.maxOutputTokens("@ai-sdk/anthropic", options, modelLimit, OUTPUT_TOKEN_MAX)
expect(result).toBe(OUTPUT_TOKEN_MAX)
})
})
})
describe("ProviderTransform.schema - gemini array items", () => {
test("adds missing items for array properties", () => {
const geminiModel = {