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@roomote roomote bot commented Dec 5, 2025

This PR attempts to address Issue #9831.

Problem

When auto context condensing is enabled with the 1M token option for Claude Sonnet on Bedrock, the calculation logic was not respecting the extended 1M context window. Instead, context would get automatically condensed when crossing the base model's max token value (100K) rather than the 1M limit.

Root Cause

The issue was in Task.ts where the manageContext function was being called with a cached/local modelInfo variable instead of getting the current model info from the API handler. The API handler correctly updates the context window to 1M when the option is enabled, but this wasn't being used in the condensing calculations.

Solution

Updated two locations in Task.ts:

  1. handleContextWindowExceededError() - Now uses this.api.getModel() to get current model info
  2. attemptApiRequest() - Now uses this.api.getModel() to get current model info

This ensures that when the 1M context option is enabled for Bedrock models, the auto-condensing logic correctly uses the 1M context window for its threshold calculations.

Testing

  • Added comprehensive tests to verify the 1M context window is properly used in calculations
  • All existing tests pass without regression
  • Verified that context percentage calculations work correctly with both scenarios:
    • Without 1M flag: 100K tokens = 50% of 200K window
    • With 1M flag: 100K tokens = 10% of 1M window

Feedback and guidance are welcome!

…rock

- Update Task.ts to use current API handler model info instead of cached values
- This ensures the 1M context window setting is properly applied when calculating auto-condensing thresholds
- Add tests to verify the fix works correctly

Fixes #9831
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roomote bot commented Dec 5, 2025

Rooviewer Clock   See task on Roo Cloud

Review completed. The PR correctly addresses the 1M context window issue by ensuring Task.ts uses fresh model info from the API handler during auto-condensing calculations. This is the right approach for Bedrock models with the 1M context option enabled.

Issues Found

  • Test organization: 1M context window tests should be moved to the "1M context beta feature" describe block

Mention @roomote in a comment to request specific changes to this pull request or fix all unresolved issues.

Comment on lines +363 to 436
it("should respect 1M context window in auto-condensing threshold calculations", () => {
// Test case 1: Without 1M context enabled
const handlerWithout1M = new AwsBedrockHandler({
apiModelId: BEDROCK_1M_CONTEXT_MODEL_IDS[0],
awsAccessKey: "test",
awsSecretKey: "test",
awsRegion: "us-east-1",
awsBedrock1MContext: false,
})

const modelWithout1M = handlerWithout1M.getModel()

// Should use default 200K context window
expect(modelWithout1M.info.contextWindow).toBe(200_000)

// With 100K tokens and 100% threshold, should trigger at 200K (100% of 200K)
const contextPercentWithout1M = (100 * 100_000) / modelWithout1M.info.contextWindow
expect(contextPercentWithout1M).toBe(50) // 100K is 50% of 200K

// Test case 2: With 1M context enabled
const handlerWith1M = new AwsBedrockHandler({
apiModelId: BEDROCK_1M_CONTEXT_MODEL_IDS[0],
awsAccessKey: "test",
awsSecretKey: "test",
awsRegion: "us-east-1",
awsBedrock1MContext: true,
})

const modelWith1M = handlerWith1M.getModel()

// Should use 1M context window
expect(modelWith1M.info.contextWindow).toBe(1_000_000)

// With 100K tokens and 100% threshold, should trigger at 1M (100% of 1M)
const contextPercentWith1M = (100 * 100_000) / modelWith1M.info.contextWindow
expect(contextPercentWith1M).toBe(10) // 100K is 10% of 1M

// Verify that auto-condensing would NOT trigger at 100K tokens with 100% threshold
// when 1M context is enabled (since 100K is only 10% of 1M)
const autoCondenseThreshold = 100 // 100% threshold
expect(contextPercentWith1M < autoCondenseThreshold).toBe(true)

// But it WOULD trigger without 1M context at 50% threshold
const lowerThreshold = 50
expect(contextPercentWithout1M >= lowerThreshold).toBe(true)
})

it("should maintain 1M context window across API handler rebuilds", () => {
// This test ensures that when the API handler is rebuilt or accessed multiple times,
// the 1M context window setting is consistently applied

const handler = new AwsBedrockHandler({
apiModelId: BEDROCK_1M_CONTEXT_MODEL_IDS[0],
awsAccessKey: "test",
awsSecretKey: "test",
awsRegion: "us-east-1",
awsBedrock1MContext: true,
})

// Get model info multiple times to simulate what happens in Task.ts
const model1 = handler.getModel()
const model2 = handler.getModel()
const model3 = handler.getModel()

// All should consistently return 1M context window
expect(model1.info.contextWindow).toBe(1_000_000)
expect(model2.info.contextWindow).toBe(1_000_000)
expect(model3.info.contextWindow).toBe(1_000_000)

// Verify the model ID remains consistent
expect(model1.id).toBe(model2.id)
expect(model2.id).toBe(model3.id)
})
})
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These tests about 1M context window calculations are placed in the "ARN parsing with inference profiles" describe block, but they should be moved to the existing "1M context beta feature" describe block (line 649) since they test the 1M context feature rather than ARN parsing. This would improve test organization and make these tests easier to find and maintain alongside the other 1M context tests.

Fix it with Roo Code or mention @roomote and request a fix.

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@mrubens @hannesrudolph @ronyblum this implementation looks correct to me

@hannesrudolph hannesrudolph added the Issue/PR - Triage New issue. Needs quick review to confirm validity and assign labels. label Dec 5, 2025
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Issue/PR - Triage New issue. Needs quick review to confirm validity and assign labels.

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