v2.4.0 — Context Compression (15-40% Token Savings)

7-Layer Context Compression

Integrated BlockRun's compression library directly into the agent loop. Saves 15-40% tokens automatically:

Layer	Method	Savings
1	Deduplication	2-5%
2	Whitespace normalization	3-8%
3	Dictionary encoding (41 codes)	4-8%
4	Path shortening	1-3%
5	JSON compaction	2-4%
6	Observation compression	15-97%
7	Dynamic codebook	5-15%

How it works:

• Runs automatically when conversation has >10 messages
• Adds a header explaining codes to the model
• Layer 6 (observation) is the biggest win — summarizes large tool results to ~300 chars
• All layers are LLM-safe (model can still understand compressed text)

This is the same compression used by BlockRun's backend, now running client-side for immediate token reduction.