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[PR #5201] feat(provider): add interleaved thinking support for models #11286

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opened 2026-02-16 18:16:06 -05:00 by yindo · 0 comments
yindo commented 2026-02-16 18:16:06 -05:00
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Original Pull Request: https://github.com/anomalyco/opencode/pull/5201

State: closed
Merged: No

Summary

  • Add interleaved_thinking field to ModelsDev Model schema to detect models with interleaved thinking capability
  • Add interleavedThinking capability to provider Model interface for internal representation
  • Update transform logic to handle the new field mapping with proper default values
  • Add comprehensive test coverage for interleaved thinking transformation

What is Interleaved Thinking?

Interleaved thinking is a reasoning approach where large language models alternate between thinking and action/answering steps, rather than following the traditional "think-then-answer" pattern. Instead of generating a long chain of thought followed by a single response, models using interleaved thinking follow a pattern like:

Reason → Tool Call → Observe → Reason → Tool Call → ...

Key Benefits:

  1. Reduced Latency: Cuts time-to-first-token (TTFT) by over 80% on average compared to traditional chain-of-thought reasoning
  2. Dynamic Adaptation: Allows models to adjust their strategy based on intermediate results and tool outputs
  3. Error Reduction: Enables immediate checking of reasoning steps, reducing error propagation in long chains
  4. Enhanced Transparency: Provides inspectable multi-step thinking through reasoning_details structures
  5. Better Performance: Shows up to 19.3% improvement in accuracy on complex reasoning tasks

Research & Sources

This implementation is based on current research and industry developments:

Technical Changes

  • ModelsDev Schema: Added optional interleaved_thinking boolean field to detect model capability
  • Provider Interface: Added optional interleavedThinking boolean to Model capabilities
  • Transform Logic: Updated transformation functions to map between schemas with proper defaults
  • Backward Compatibility: Made field optional to ensure existing models continue to work
  • Test Coverage: Added tests to verify proper transformation and default handling

Applications

This capability transforms traditional function-calling into agent-level tool use, making it particularly valuable for:

  • Complex multi-hop question answering
  • Mathematical reasoning
  • Logical deduction
  • Tool-assisted problem solving

Testing

All existing tests pass, and new test coverage has been added for the interleaved thinking transformation logic. The changes maintain full backward compatibility with existing model configurations.

**Original Pull Request:** https://github.com/anomalyco/opencode/pull/5201 **State:** closed **Merged:** No --- ## Summary - Add `interleaved_thinking` field to ModelsDev Model schema to detect models with interleaved thinking capability - Add `interleavedThinking` capability to provider Model interface for internal representation - Update transform logic to handle the new field mapping with proper default values - Add comprehensive test coverage for interleaved thinking transformation ## What is Interleaved Thinking? Interleaved thinking is a reasoning approach where large language models alternate between thinking and action/answering steps, rather than following the traditional "think-then-answer" pattern. Instead of generating a long chain of thought followed by a single response, models using interleaved thinking follow a pattern like: **Reason → Tool Call → Observe → Reason → Tool Call → ...** ## Key Benefits: 1. **Reduced Latency**: Cuts time-to-first-token (TTFT) by over 80% on average compared to traditional chain-of-thought reasoning 2. **Dynamic Adaptation**: Allows models to adjust their strategy based on intermediate results and tool outputs 3. **Error Reduction**: Enables immediate checking of reasoning steps, reducing error propagation in long chains 4. **Enhanced Transparency**: Provides inspectable multi-step thinking through `reasoning_details` structures 5. **Better Performance**: Shows up to 19.3% improvement in accuracy on complex reasoning tasks ## Research & Sources This implementation is based on current research and industry developments: - **Research Paper**: [Interleaved Reasoning for Large Language Models via Reinforcement Learning](https://arxiv.org/abs/2505.19640) - Shows 80% TTFT reduction and 19.3% accuracy improvement - **Industry Documentation**: [Novita AI Interleaved Thinking Guide](https://novita.ai/docs/guides/llm-interleaved-thinking) - Practical implementation guidance - **Real-world Adoption**: Models like MiniMax-M2 and Kimi-K2-Thinking already support this capability ## Technical Changes - **ModelsDev Schema**: Added optional `interleaved_thinking` boolean field to detect model capability - **Provider Interface**: Added optional `interleavedThinking` boolean to Model capabilities - **Transform Logic**: Updated transformation functions to map between schemas with proper defaults - **Backward Compatibility**: Made field optional to ensure existing models continue to work - **Test Coverage**: Added tests to verify proper transformation and default handling ## Applications This capability transforms traditional function-calling into **agent-level tool use**, making it particularly valuable for: - Complex multi-hop question answering - Mathematical reasoning - Logical deduction - Tool-assisted problem solving ## Testing All existing tests pass, and new test coverage has been added for the interleaved thinking transformation logic. The changes maintain full backward compatibility with existing model configurations.
yindo added the pull-request label 2026-02-16 18:16:06 -05:00
yindo closed this issue 2026-02-16 18:16:06 -05:00
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Reference: anomalyco/opencode#11286
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