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fix: ensure 1M context window is respected in auto-condensing for Bedrock #9868
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…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
Review completed. The PR correctly addresses the 1M context window issue by ensuring Issues Found
Mention @roomote in a comment to request specific changes to this pull request or fix all unresolved issues. |
| 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, | ||
| }) | ||
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| const modelWithout1M = handlerWithout1M.getModel() | ||
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| // Should use default 200K context window | ||
| expect(modelWithout1M.info.contextWindow).toBe(200_000) | ||
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| // 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 | ||
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| // 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, | ||
| }) | ||
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| const modelWith1M = handlerWith1M.getModel() | ||
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| // Should use 1M context window | ||
| expect(modelWith1M.info.contextWindow).toBe(1_000_000) | ||
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| // 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 | ||
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| // 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) | ||
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| // But it WOULD trigger without 1M context at 50% threshold | ||
| const lowerThreshold = 50 | ||
| expect(contextPercentWithout1M >= lowerThreshold).toBe(true) | ||
| }) | ||
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| 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 | ||
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| const handler = new AwsBedrockHandler({ | ||
| apiModelId: BEDROCK_1M_CONTEXT_MODEL_IDS[0], | ||
| awsAccessKey: "test", | ||
| awsSecretKey: "test", | ||
| awsRegion: "us-east-1", | ||
| awsBedrock1MContext: true, | ||
| }) | ||
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| // Get model info multiple times to simulate what happens in Task.ts | ||
| const model1 = handler.getModel() | ||
| const model2 = handler.getModel() | ||
| const model3 = handler.getModel() | ||
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| // 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) | ||
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| // 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
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.tswhere themanageContextfunction was being called with a cached/localmodelInfovariable 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:handleContextWindowExceededError()- Now usesthis.api.getModel()to get current model infoattemptApiRequest()- Now usesthis.api.getModel()to get current model infoThis 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
Feedback and guidance are welcome!