13 Commits

  • refactor: replace json.Marshal and json.Unmarshal with sjson and gjson
    Optimized the handling of JSON serialization and deserialization by replacing redundant `json.Marshal` and `json.Unmarshal` calls with `sjson` and `gjson`. Introduced a `marshalJSONValue` utility for compact JSON encoding, improving performance and code simplicity. Removed unused `encoding/json` imports.
  • Fixed: #140 #133 #80
    feat(translator): add token counting functionality for Gemini, Claude, and CLI
    
    - Introduced `TokenCount` handling across various Codex translators (Gemini, Claude, CLI) with respective implementations.
    - Added utility methods for token counting and formatting responses.
    - Integrated `tiktoken-go/tokenizer` library for tokenization.
    - Updated CodexExecutor with token counting logic to support multiple models including GPT-5 variants.
    - Refined go.mod and go.sum to include new dependencies.
    
    feat(runtime): add token counting functionality across executors
    
    - Implemented token counting in OpenAICompatExecutor, QwenExecutor, and IFlowExecutor.
    - Added utilities for token counting and response formatting using `tiktoken-go/tokenizer`.
    - Integrated token counting into translators for Gemini, Claude, and Gemini CLI.
    - Enhanced multiple model support, including GPT-5 variants, for token counting.
    
    docs: update environment variable instructions for multi-model support
    
    - Added details for setting `ANTHROPIC_DEFAULT_OPUS_MODEL`, `ANTHROPIC_DEFAULT_SONNET_MODEL`, and `ANTHROPIC_DEFAULT_HAIKU_MODEL` for version 2.x.x.
    - Clarified usage of `ANTHROPIC_MODEL` and `ANTHROPIC_SMALL_FAST_MODEL` for version 1.x.x.
    - Expanded examples for setting environment variables across different models including Gemini, GPT-5, Claude, and Qwen3.
  • feat(registry/runtime): add Gemini 2.5 model and increase buffer sizes
    - Added new "Gemini 2.5 Flash Image Preview" model definition, with enhanced image generation capabilities.
    - Increased scanner buffer size to 20,971,520 bytes across executors and translators to handle larger payloads.
  • feat: introduce custom provider example and remove redundant debug logs
    - Added `examples/custom-provider/main.go` showcasing custom executor and translator integration using the SDK.
    - Removed redundant debug logs from translator modules to enhance code cleanliness.
    - Updated SDK documentation with new usage and advanced examples.
    - Expanded the management API with new endpoints, including request logging and GPT-5 Codex features.
  • Add reverse mappings for original tool names and improve error logging
    - Introduced reverse mapping logic for tool names in translators to restore original names when shortened.
    - Enhanced error handling by logging API response errors consistently across handlers.
    - Refactored request and response loggers to include API error details, improving debugging capabilities.
    - Integrated robust tool name shortening and uniqueness mechanisms for OpenAI, Gemini, and Claude requests.
    - Improved handler retry logic to properly capture and respond to errors.