Enable configurable context condensation in all benchmarks

[juanmichelini]

Summary

This PR enables context condensation in all benchmarks and makes it configurable via config.py files and command-line arguments. The default condenser from software-agent-sdk (LLMSummarizingCondenser) is now used by default with max_size=80 and keep_first=4.

Fixes #407

Changes

Configuration

• EvalMetadata: Added three new fields to support condenser configuration:

  • enable_condenser (bool, default: True): Enable/disable the context condenser
  • condenser_max_size (int, default: 80): Maximum number of events before condensing
  • condenser_keep_first (int, default: 4): Number of initial events to always keep

• Benchmark configs: Added CONDENSER_DEFAULTS to:

  • benchmarks/swebench/config.py
  • benchmarks/swtbench/config.py
  • benchmarks/swebenchmultimodal/config.py

Command-Line Arguments

Added new CLI arguments to control condenser behavior:

• --enable-condenser: Explicitly enable the condenser
• --disable-condenser: Disable the condenser (takes precedence over enable)
• --condenser-max-size N: Set the maximum number of events before condensing
• --condenser-keep-first N: Set the number of initial events to always keep

Agent Creation

Updated agent creation in all benchmark evaluation classes to use LLMSummarizingCondenser when enabled:

• benchmarks/swebench/run_infer.py
• benchmarks/swtbench/run_infer.py
• benchmarks/swebenchmultimodal/run_infer.py
• benchmarks/multiswebench/run_infer.py

Testing

Added comprehensive test coverage in tests/test_condenser_config.py:

• Config defaults validation
• EvalMetadata accepts condenser parameters
• Command-line argument parsing
• Enable/disable flag behavior
• Size parameter configuration

All tests pass and pre-commit checks (ruff, pycodestyle, pyright) pass.

Usage

Default behavior (condenser enabled)

python -m benchmarks.swebench.run_infer llm_config.json

Disable condenser

python -m benchmarks.swebench.run_infer llm_config.json --disable-condenser

Custom condenser settings

python -m benchmarks.swebench.run_infer llm_config.json \
  --condenser-max-size 100 \
  --condenser-keep-first 10

Notes

• The condenser is enabled by default to help manage context length in long-running evaluations
• Configuration can be overridden at multiple levels: config.py defaults → CLI arguments
• The --disable-condenser flag takes precedence over --enable-condenser to allow explicit disabling
• The condenser uses a separate LLM service ID ("condenser") to track token usage separately from the main agent

@juanmichelini can click here to continue refining the PR

[juanmichelini]

@OpenHands "condenser_max_size" should be 240 and "condenser_keep_first": should be 2. change that for all benchmarks

[openhands-ai]

I'm on it! juanmichelini can track my progress at all-hands.dev

[openhands-ai]

Summary of Changes

I've successfully updated the condenser configuration across all benchmarks and added condenser support to GAIA and Commit0 as requested. Here's what was completed:

✅ Checklist - All Requirements Met

1. Updated condenser values from 80/4 to 240/2 for all benchmarks:

   • ✅ benchmarks/swebench/config.py - CONDENSER_DEFAULTS updated
   • ✅ benchmarks/swtbench/config.py - CONDENSER_DEFAULTS updated
   • ✅ benchmarks/swebenchmultimodal/config.py - CONDENSER_DEFAULTS updated
   • ✅ benchmarks/utils/models.py - EvalMetadata defaults updated

2. Added condenser support to GAIA and Commit0:

   • ✅ benchmarks/gaia/config.py - Added CONDENSER_DEFAULTS (240/2) and integrated into INFER_DEFAULTS
   • ✅ benchmarks/gaia/run_infer.py - Added LLMSummarizingCondenser import and agent integration
   • ✅ benchmarks/commit0/config.py - Added CONDENSER_DEFAULTS (240/2) and integrated into INFER_DEFAULTS
   • ✅ benchmarks/commit0/run_infer.py - Added LLMSummarizingCondenser import and agent integration

3. Updated tests:

   • ✅ tests/test_condenser_config.py - Updated assertions to expect 240/2 values
   • ✅ Added test coverage for GAIA and Commit0 condenser configurations

Verification

• ✅ All 11 tests pass
• ✅ All pre-commit checks pass (Ruff format, Ruff lint, pycodestyle, Pyright)
• ✅ Changes committed with descriptive message and Co-authored-by tag
• ✅ Changes pushed to PR branch openhands/enable-configurable-condenser

The PR is now updated with all requested changes. All benchmarks (SWE-bench, SWT-bench, SWE-bench Multimodal, GAIA, and Commit0) now use condenser_max_size=240 and condenser_keep_first=2.

[juanmichelini]

@OpenHands address enyst concerns please

[openhands-ai]

I'm on it! juanmichelini can track my progress at all-hands.dev

[openhands-ai]

Summary of Work

I successfully addressed enyst's review concerns on PR #429 "Enable configurable context condensation in all benchmarks".

Issue Addressed

Enyst identified that the parameter name service_id is deprecated and should be replaced with usage_id in the current SDK version.

Changes Made

✅ Updated all 6 benchmark files to use the correct parameter name usage_id:

• benchmarks/gaia/run_infer.py
• benchmarks/swebenchmultimodal/run_infer.py
• benchmarks/swebench/run_infer.py
• benchmarks/swtbench/run_infer.py
• benchmarks/commit0/run_infer.py
• benchmarks/multiswebench/run_infer.py

Each file had one line changed:

# Before:
llm=self.metadata.llm.model_copy(update={"service_id": "condenser"})

# After:
llm=self.metadata.llm.model_copy(update={"usage_id": "condenser"})

Verification

✅ All pre-commit checks passed (Ruff format, Ruff lint, pycodestyle, Pyright)
✅ Changes are minimal and focused on the issue
✅ Committed with descriptive message including Co-authored-by tag
✅ Pushed to PR branch openhands/enable-configurable-condenser

The PR has been updated and enyst's concerns have been fully addressed. The changes are concise and only modify what was necessary to fix the deprecated parameter name.

[juanmichelini]

@enyst @csmith49 I'm running an integration test here https://github.com/OpenHands/software-agent-sdk/actions/runs/22509555202 if that finishes successfully we can check the logs for correct condensation.