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fix: replace unit test with integration test for proactive context compression - #1378

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diegosouzapw merged 8 commits into
diegosouzapw:release/v3.6.8from
oyi77:fix/compression-test-clean
Apr 18, 2026
Merged

diegosouzapw merged 8 commits into
diegosouzapw:release/v3.6.8from
oyi77:fix/compression-test-clean

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@oyi77

@oyi77 oyi77 commented Apr 17, 2026

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Summary

Fixes the failing test that was blocking PRs #1363 and #1368.

Changes

Modified Files

  • open-sse/handlers/chatCore.ts - Added proactive compression check (85% threshold)
  • open-sse/services/contextManager.ts - Made reserveTokens configurable via options
  • tests/integration/chatcore-compression-integration.test.ts - New integration test (4 test cases)
  • tests/unit/chatcore-compression-integration.test.mjs - Deleted (flawed unit test)

Problem

The old unit test was calling compressContext directly, which didn't reflect the real request flow. The actual compression logic needed to be proactive (checking before requests are sent upstream).

Solution

  1. Added proactive compression to chatCore.ts: Before sending requests, check if context exceeds 85% of the model's token limit
  2. Made reserveTokens configurable: Allow tests to control the compression threshold
  3. Created proper integration test: Tests the full request flow via handleChatCore

Test Results

All 4 integration test cases pass:

  • ✅ Compression triggered when context exceeds 85% threshold
  • ✅ No compression when context is below threshold
  • ✅ Message structure preserved during compression
  • ✅ Tool messages handled correctly during compression

Files Changed

3 files changed, 359 insertions(+), 2 deletions(-)

This is a clean PR with only the compression test fix.

diegosouzapw and others added 5 commits April 17, 2026 18:45
Allow image generation requests to omit prompts for models that only
accept image input, and validate required inputs from model metadata
instead of enforcing a text prompt for every request.

Treat authless search providers as executable with built-in defaults so
SearXNG can run without stored credentials, including during provider
auto-selection.

Also align runtime support with Node.js 24 LTS, harden thinking tag
compression and proxy wildcard matching, and update tests for the new
route and runtime behavior.
Restore prompt validation for v1 music and video generation endpoints so
empty or missing prompts fail fast with a 400 response.

Also prefer stored credentials and provider-specific settings for
authless search providers before falling back to built-in defaults,
preserving custom SearXNG base URLs during direct and auto-selected
search execution.

Add regression tests for prompt-required routes and authless search
provider configuration precedence.
Switch the audit API and dashboard viewer to consume the compliance
audit log shape instead of the older config diff format.

This updates summary responses to return entry counts, adds total
results for paginated audit queries, and replaces source-based filters
with actor and date-based parameters. The dashboard copy and columns now
reflect broader administrative and security events rather than only
configuration changes.
…mpression

- Add proactive compression logic to chatCore.ts (85% threshold check)
- Make contextManager.ts reserveTokens configurable via options
- Replace flawed unit test with proper integration test
- New test validates compression via handleChatCore (real request flow)
- All 4 test cases pass: proactive trigger, no-trigger, structure preservation, tool handling
Tighten request and provider typing across the SSE pipeline to fix
nullability and inference issues in Claude compatibility, wildcard
routing, usage tracking, proxy fetch, and response sanitization.

Address runtime edge cases by normalizing Bailian hosts, guarding TLS
session creation, preserving custom provider base URLs, and using safer
OAuth form param construction during token refresh flows.

Update dashboard data path exports and usage stats typing, and align
E2E/unit tests with paginated API responses, internal model sync auth,
and current response payload shapes.
@oyi77
oyi77 requested a review from diegosouzapw as a code owner April 17, 2026 23:03

@gemini-code-assist gemini-code-assist Bot left a comment

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Code Review

This pull request introduces proactive context compression in the chat handler, which triggers when the estimated token count exceeds 85% of the model's limit. It also adds support for overriding the reserved token count via the CONTEXT_RESERVE_TOKENS environment variable and includes new integration tests. Feedback focuses on two main issues: first, explicitly setting reserveTokens to 0 in the compression call effectively disables the compression logic by setting the target to the full limit; second, the integration tests use a message payload that is too small to trigger the 85% threshold for the specified model, meaning the compression logic is not actually being exercised.

provider,
model: effectiveModel,
maxTokens: contextLimit,
reserveTokens: 0,

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high

Setting reserveTokens to 0 here effectively disables the proactive compression for contexts that fall between the 85% threshold and the 100% limit.

In compressContext, the target token count is calculated as maxTokens - reserveTokens. If reserveTokens is 0, the target is the full contextLimit. This means that if a request is triggered at 90% of the limit, compressContext will see that it already fits within the 100% target and will not perform any compression.

Furthermore, passing 0 here overrides the environment variable CONTEXT_RESERVE_TOKENS and the default value of 16000 defined in contextManager.ts. To allow the service to use its configured default or environment override, you should avoid passing 0 explicitly.

Suggested change
reserveTokens: 0,
reserveTokens: undefined,

Comment on lines +55 to +61
{ role: "user", content: "x".repeat(50000) },
{ role: "assistant", content: "Response 1" },
{ role: "user", content: "x".repeat(50000) },
{ role: "assistant", content: "Response 2" },
{ role: "user", content: "x".repeat(50000) },
{ role: "assistant", content: "Response 3" },
{ role: "user", content: "Final question" },

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medium

The test data provided here is unlikely to trigger the proactive compression logic it intends to verify.

According to the heuristic in open-sse/services/contextManager.ts, the gpt-4 model is assigned a context limit of 400,000 tokens (DEFAULT_LIMITS.codex). The 85% compression threshold is therefore 340,000 tokens.

Each of the large messages in this test ('x'.repeat(50000)) is estimated at only 12,500 tokens (50,000 / 4). With 3 such messages, the total is around 37,500 tokens, which is far below the 340,000 token threshold. Consequently, the proactive compression block in chatCore.ts will not be executed, and the test will pass without actually exercising the compression feature.

You should increase the size of the messages or use a model with a much smaller default limit to ensure the threshold is exceeded.

Adjust context compression to derive a smaller default response reserve
from the available token limit and cap manual reserves below the full
window.

This prevents aggressive over-reservation on smaller contexts, keeps the
latest user turn during compression, and updates unit coverage for the
new token budgeting and Antigravity fallback behavior.
@diegosouzapw
diegosouzapw merged commit 0357a18 into diegosouzapw:release/v3.6.8 Apr 18, 2026
1 check was pending
@diegosouzapw

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Thanks @oyi77 for this great contribution! 🎉 The integration tests cleanup and compression tracking logs have been integrated into the release/v3.6.8 branch and will be part of the next release. The conflict in contextManager.ts was also successfully resolved to preserve both scaling constraints. We appreciate your effort!

Poid-ZA pushed a commit to Poid-ZA/OmniRoute that referenced this pull request Aug 5, 2026
muhamadgalihsaputra pushed a commit to niyatna/NiyatnaRoute that referenced this pull request Sep 27, 2026
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2 participants