- Standardized User-Agent strings for Codex and Claude executors to improve request tracing and compatibility.
- Updated header insertion logic in both executors for consistency.
- Updated `README.md` and `README_CN.md` with steps to install via the Linux installer.
- Acknowledged [brokechubb](https://github.com/brokechubb) for building the installer.
- Added fallback to set default `parametersJsonSchema` when `parameters` key is absent.
- Enhanced logging to capture detailed errors during schema transformation.
- Refined tool declaration appending logic for robustness.
- Updated `README.md` and `README_CN.md` to include additional instructions on requesting undefined models using the `openrouter://` format.
- Added example for `moonshotai/kimi-k2:free` usage.
feat(runtime): add Brotli and Zstd compression support, improve response handling
- Implemented Brotli and Zstd decompression handling in `FileRequestLogger` and executor logic for enhanced compatibility.
- Added `decodeResponseBody` utility for streamlined multi-encoding support (Gzip, Deflate, Brotli, Zstd).
- Improved resource cleanup with composite readers for proper closure under all conditions.
- Updated dependencies in `go.mod` and `go.sum` to include Brotli and Zstd libraries.
- Introduced model alias mapping for Claude configurations, enabling upstream and client-facing model name associations.
- Added `computeClaudeModelsHash` to generate a consistent hash for model aliases.
- Implemented `normalizeClaudeKey` function to standardize input API key configuration, including models.
- Enhanced executor to resolve model aliases to upstream names dynamically.
- Updated documentation and configuration examples to reflect new model alias support.
- Replaced `s.currentPath` with `s.configFilePath` for consistent handling of management asset paths.
- Adjusted calls to `managementasset.FilePath` and `StaticDir` to use the updated configuration path.
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.
docs: add GPT-5 Codex guidelines for CLI usage
- Added detailed guidelines for GPT-5 Codex in Codex CLI.
- Expanded instructions on sandboxing, approvals, editing constraints, and style requirements.
- Included presentation and response formatting best practices.
fix(codex_instructions): update comparison logic to use prefix matching
- Changed system instructions comparison to use `strings.HasPrefix` for improved flexibility.
- Added comprehensive instructions for Codex CLI harness, sandboxing, approvals, and editing constraints to `internal/misc/codex_instructions/`.
- Clarified `approval_policy` configurations and scenarios requiring escalated permissions.
- Provided detailed style and structure guidelines for presenting results in the Codex CLI.
- Updated Execute methods to include enhanced error handling via `StatusCode` and `Headers` extraction.
- Introduced structured error responses for cooling down scenarios, providing additional metadata and retry suggestions.
- Refined quota management, allowing for differentiation between cool-down, disabled, and other block reasons.
- Improved model filtering logic based on client availability and suspension criteria.
- Updated the Execute methods in various executors (GeminiCLIExecutor, GeminiExecutor, IFlowExecutor, OpenAICompatExecutor, QwenExecutor) to return a response and error as named return values for improved clarity.
- Enhanced error handling by deferring failure tracking in usage reporters, ensuring that failures are reported correctly.
- Improved response body handling by ensuring proper closure and error logging for HTTP responses across all executors.
- Added failure tracking and reporting in the usage reporter to capture unsuccessful requests.
- Updated the usage logging structure to include a 'Failed' field for better tracking of request outcomes.
- Adjusted the logic in the RequestStatistics and Record methods to accommodate the new failure tracking mechanism.
- Added detailed logging of upstream request metadata including URL, method, headers, and body for Codex, Gemini, IFlow, OpenAI Compat, and Qwen executors.
- Implemented error logging for API response failures to capture errors during HTTP requests.
- Introduced structured logging for authentication details (AuthID, AuthLabel, AuthType, AuthValue) to improve traceability.
- Updated response logging to include status codes and headers for better debugging.
- Ensured that all executors consistently log API interactions to facilitate monitoring and troubleshooting.
feat(gemini): add Gemini thinking configuration support and metadata normalization
- Introduced logic to parse and apply `thinkingBudget` and `include_thoughts` configurations from metadata.
- Enhanced request handling to include normalized Gemini model metadata, preserving the original model identifier.
- Updated Gemini and Gemini-CLI executors to apply thinking configuration based on metadata overrides.
- Refactored handlers to support metadata extraction and cloning during request preparation.
Add a `MessageStarted` flag to `ConvertOpenAIResponseToAnthropicParams` to ensure the `message_start` event is emitted only once during streaming.
Refactor response handling to detect streaming mode via the `stream` field instead of the `object` type, simplifying the branching logic.
Update the streaming conversion to set `MessageStarted` after sending the `message_start` event, preventing duplicate starts.
These changes improve correctness of streaming response handling for Claude integration.
refactor(translator): streamline Codex response handling and remove redundant code
- Updated `ConvertCodexResponseToOpenAIResponses` logic for clarity and consistency.
- Simplified `ConvertCodexResponseToOpenAIResponsesNonStream` by removing unnecessary buffer setup and scanner logic.
- Switched to using `sjson.SetRaw` for improved processing of raw input strings.
feat(translator): map Claude web search tool type to Codex web_search
- Added special handling to replace `web_search_20250305` tool type with `{"type":"web_search"}` in Claude request processing.
- Introduced `Source` field to usage-related structs for better origin tracking.
- Updated `newUsageReporter` to resolve and populate the `Source` attribute.
- Implemented `resolveUsageSource` to determine source from auth metadata or API key.
- Replaced `contentParts` with `aggregatedParts` to support mixed content (text and inline data).
- Introduced `textBuilder` for efficient text concatenation.
- Added support for inline data processing, including base64-encoded image URLs.
- Updated `msg["content"]` logic to handle both plain text and mixed content scenarios.
- Added instructions for configuring a Git repository as a backend for `config.yaml` and token storage.
- Included example environment variable configurations for Docker and Docker Compose.
- Updated both English (README.md) and Chinese (README_CN.md) documentation.
- Added `GitTokenStore` to handle token storage and metadata using Git as a backing storage.
- Implemented methods for initialization, save, retrieval, listing, and deletion of auth files.
- Updated `go.mod` and `go.sum` to include new dependencies for Git integration.
- Integrated support for Git-backed configuration via `GitTokenStore`.
- Updated server logic to clone, initialize, and manage configurations from Git repositories.
- Added helper functions for verifying and synchronizing configuration files.
- Improved error handling and contextual logging for Git operations.
- Modified Dockerfile to include `config.example.yaml` for initial setup.
- Added `gitCommitter` interface to handle Git-based commit and push operations.
- Configured `Watcher` to detect and leverage Git-backed token stores.
- Implemented `commitConfigAsync` and `commitAuthAsync` methods for asynchronous change synchronization.
- Enhanced `GitTokenStore` with `CommitPaths` method to support selective file commits.
- Introduced synchronization with `sync.Mutex` to ensure thread safety.
- Added logic to skip update checks if the last check was performed within the 3-hour interval.
feat(translator): add support for removing `strict` in Gemini request transformation
- Updated API and CLI translators to remove the `strict` path during request transformation, in addition to existing predefined JSON paths.
- Introduced `gemini-2.5-flash-image-preview` model to the registry with updated definitions.
- Enhanced Gemini CLI and API executors to handle image aspect ratio adjustments for the new model.
- Added utility function to create base64 white image placeholders based on aspect ratio configurations.
- Added `glm-4.6` model to registry and documentation.
- Updated Gemini CLI executor to pass configuration to `prepareGeminiCLITokenSource` for improved token management.
- Introduced `gemini-2.5-flash-image` model with updated definitions in registry.
- Enhanced model marker detection in Gemini CLI executor to include support for the new model.
feat(translator): enhance request and response parsing for Gemini API and CLI
- Added support for removing predefined JSON paths (`additionalProperties`, `$schema`, `ref`) during request transformation for Gemini.
- Introduced `FunctionIndex` parameter to manage function call indexing in streaming responses for both API and CLI translators.
- Improved handling of tool call content and function call templates in response parsing logic.
feat(translator): add support for single input string in Codex responses parser
- Modified input parsing logic to handle cases where input is a single string instead of an array.
- Added functionality to convert single string inputs into structured JSON format.
- Added `DefaultConfigPath` variable to manage default configuration file paths.
- Updated `config` flag to use `DefaultConfigPath` for better path handling.
- 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.
- Added `ensureGeminiProjectAndOnboard` to streamline project onboarding.
- Implemented API checks for Cloud AI enablement to ensure compatibility.
- Extended record metadata with additional onboarding details such as `auto` and `checked`.
- Centralized OAuth success HTML response in `oauthCallbackSuccessHTML`.
- Introduced callback forwarders for Anthropic, Gemini, Codex, and iFlow OAuth flows.
- Added `is_webui` query parameter detection to enhance Web UI compatibility.
- Implemented mechanisms to start and stop callback forwarders dynamically.
- Improved error handling and logging for callback server initialization.
- Integrated iFlow as a new authentication provider with OAuth.
- Updated README and documentation for iFlow-specific configuration.
- Enhanced CLI and Docker commands to support iFlow login and server setup.
- Expanded model routing to include iFlow-supported models.
- Introduced `trimmedRequest` for consistent project ID trimming.
- Improved handling of project ID retrieval from Gemini onboarding responses.
- Added safeguards to maintain the requested project ID when discrepancies occur.
- Refined trimming and normalization logic for `baseURL` and `apiKey` attributes.
- Updated `Authorization` header logic to omit empty API keys.
- Enhanced compatibility processing by handling empty `api-key-entries`.
- Improved legacy format fallback and added safeguards for empty credentials across executor paths.
- Implemented logic to delete `previous_response_id` property from the request body in Codex executor.
- Applied changes consistently across relevant Codex executor paths.
Luis Pater