refactor: modularize fetch wrapper and plugin architecture #36
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…ontext pruning - Add position-based tool call correlation for Google/Gemini format (body.contents with functionResponse) - Add OpenAI Responses API support (body.input with function_call_output and call_id) - Extract getAllPrunedIds helper for reuse across all format handlers - Build position mapping in chat.params hook for google/google-vertex providers - Remove incomplete strip-reasoning strategy from default config
- Use string instead of nested object for functionResponse.response - Preserves thoughtSignature via spread operator (required for Gemini 3 Pro) - Aligns with Google's flexible response format
…rate modules - Split monolithic index.ts into focused modules for better maintainability - Extract fetch wrapper into lib/fetch-wrapper/ with format-specific handlers: - openai-chat.ts: OpenAI Chat Completions & Anthropic format - openai-responses.ts: OpenAI Responses API format (GPT-5) - gemini.ts: Google/Gemini format with position-based correlation - types.ts: Shared types and utility functions - Create lib/state.ts for centralized plugin state management - Create lib/hooks.ts for event and chat.params handlers - Create lib/pruning-tool.ts for context_pruning tool definition - Create lib/tool-cache.ts for tool parameter caching utilities - Reduce index.ts from 500+ lines to ~80 lines of initialization code
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Summary
Changes
Architecture Improvements
lib/fetch-wrapper/with format-specific handlers:openai-chat.ts: OpenAI Chat Completions & Anthropic formatopenai-responses.ts: OpenAI Responses API format (GPT-5)gemini.ts: Google/Gemini format with position-based correlationtypes.ts: Shared types and utility functionslib/state.tsfor centralized plugin state managementlib/hooks.tsfor event and chat.params handlerslib/pruning-tool.tsfor context_pruning tool definitionlib/tool-cache.tsfor tool parameter caching utilitiesBug Fix
Version
0.3.21