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This release adds 4 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

custom-agents custom-tools directed-acyclic-graph llm-agent mcp-client mcp-server
+6 more
mcp-servers mcp-tools multi-agent multi-agent-orchestration multi-agent-systems n8n

Summary

AI summary

Prompt and response caching across cloud providers cuts multi-turn agent costs by up to 80%.

Changes in this release

Feature Medium

Adds prompt caching across 7 cloud providers reducing multi-turn costs by 50‑80% automatically.

Adds prompt caching across 7 cloud providers reducing multi-turn costs by 50‑80% automatically.

Source: llm_adapter@2026-05-25

Confidence: high

Feature Medium

Adds response cache with exact and optional semantic match, opt‑in per step.

Adds response cache with exact and optional semantic match, opt‑in per step.

Source: llm_adapter@2026-05-25

Confidence: high

Feature Medium

Enables auto-compaction by default with threshold lowered to 80K chars, fully backwards‑compatible.

Enables auto-compaction by default with threshold lowered to 80K chars, fully backwards‑compatible.

Source: llm_adapter@2026-05-25

Confidence: high

Feature Medium

Adds tool memoization for deterministic tools (code_search, pdf_parser, etc.).

Adds tool memoization for deterministic tools (code_search, pdf_parser, etc.).

Source: llm_adapter@2026-05-25

Confidence: low

Feature Medium

Adds Cache Analytics dashboard showing $ saved, hit rates, and per‑step badges.

Adds Cache Analytics dashboard showing $ saved, hit rates, and per‑step badges.

Source: llm_adapter@2026-05-25

Confidence: low

Feature Low

Implements tool memoization for deterministic tools (code_search, pdf_parser, xlsx_parser, time, code_indexer, collect_data, personal_details).

Implements tool memoization for deterministic tools (code_search, pdf_parser, xlsx_parser, time, code_indexer, collect_data, personal_details).

Source: granite4.1:30b@2026-05-25-audit

Confidence: low

Feature Low

Provides Cache Analytics dashboard showing total dollars saved, per‑model hit rates, and top‑run breakdowns.

Provides Cache Analytics dashboard showing total dollars saved, per‑model hit rates, and top‑run breakdowns.

Source: granite4.1:30b@2026-05-25-audit

Confidence: low

Full changelog

Major Release - Cache Layer

  • Prompt caching wired into all 7 cloud providers (Anthropic cache_control, OpenAI/Grok/DeepSeek/Gemini auto-cache extraction, Bedrock cachePoint). Cuts multi-turn agent costs by 50–80% automatically.
  • Response cache (exact + optional semantic match) — opt-in per step on LLM/Evaluator/Extract-JSON nodes. Cache hits skip the LLM call entirely.
  • Tool memoization for deterministic tools (code_search, pdf_parser, xlsx_parser, time, code_indexer, collect_data, personal_details). Side-effectful tools (bash, sql_agent, web_scraper, sandbox) are never cached.
  • Cache Analytics dashboard in Usage tab — total $ saved, per-model hit rates, top-run breakdowns. Per-step cache: hits/total badges on the canvas.
  • Auto-compaction enabled by default (auto_compact_threshold lowered to 80K chars). Fully backwards-compatible — existing orchestrations/settings/usage logs upgrade with zero migration.

What's Changed

  • Feature/cache mechanism by @naveenraj-17 in https://github.com/synapseorch-ai/synapse-ai/pull/303

Full Changelog: https://github.com/synapseorch-ai/synapse-ai/compare/v1.5.6...v1.6.0

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