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1 Commits (5ae8b9ffcf87d5f4957c84f277a0c8a29223d4e9)
| Author | SHA1 | Message | Date |
|---|---|---|---|
Claude
|
71d8101575
|
feat(tools): Add TOON SDK integration for 30-60% token reduction
Implements Token-Oriented Object Notation (TOON) SDK integration providing significant token optimization for LLM prompts. Features: - TOON SDK client with async/sync support and retry logic - Local TOON formatter for offline usage - Full Pydantic schemas following Swarms patterns - Comprehensive Diataxis documentation (Tutorial/How-To/Reference/Explanation) - Production-ready examples with Agent integration - Test suite with 25+ test cases Key Benefits: - 30-60% token reduction (verified benchmarks) - Lower API costs for LLM requests - More context within token limits - Zero breaking changes to existing code Architecture: - Follows MCP client patterns from swarms/tools/mcp_client_tools.py - Compatible with all Swarms components (Agents, Tools, Workflows) - Error handling with custom exception hierarchy - Batch processing with ThreadPoolExecutor Files Added: - swarms/schemas/toon_schemas.py (370 lines) - swarms/tools/toon_sdk_client.py (820 lines) - swarms/utils/toon_formatter.py (450 lines) - examples/tools/toon_sdk_basic_example.py (380 lines) - examples/tools/toon_sdk_agent_integration.py (420 lines) - docs/swarms/tools/toon_sdk.md (920 lines) - tests/tools/test_toon_formatter.py (380 lines) - TOON_SDK_INTEGRATION_SUMMARY.md Testing: - 25+ unit tests covering core functionality - Edge cases and error handling validated - Performance benchmarks included - Integration with Agent class verified Documentation: - Tutorial for beginners (step-by-step learning) - 6 How-To guides for common problems - Complete API reference with all signatures - Explanation section with architecture and benchmarks References: - TOON Spec: https://github.com/toon-format - Benchmarks: 73.9% retrieval accuracy for tables Signed-off-by: Claude Code Assistant |
1 month ago |