- Implemented OAuth login flow for the Antigravity provider in `auth/antigravity.go`.
- Added `AntigravityExecutor` for handling requests and streaming via Antigravity APIs.
- Created `antigravity_login.go` command for triggering Antigravity authentication.
- Introduced OpenAI-to-Antigravity translation logic in `translator/antigravity/openai/chat-completions`.
**refactor(translator, executor): update Gemini CLI response translation and add Antigravity payload customization**
- Renamed Gemini CLI translation methods to align with response handling (`ConvertGeminiCliResponseToGemini` and `ConvertGeminiCliResponseToGeminiNonStream`).
- Updated `init.go` to reflect these method changes.
- Introduced `geminiToAntigravity` function to embed metadata (`model`, `userAgent`, `project`, etc.) into Antigravity payloads.
- Added random project, request, and session ID generators for enhanced tracking.
- Streamlined `buildRequest` to use `geminiToAntigravity` transformation before request execution.
**feat(executor): add thinking level to budget conversion utility**
- Introduced `ConvertThinkingLevelToBudget` to map thinking level ("high"/"low") to corresponding budget values.
- Applied the utility in `aistudio_executor.go` before stripping unsupported configs.
- Updated dependencies to include `tidwall/gjson` for JSON parsing.
- Added `shouldLogRequest` helper to simplify path-based request logging logic.
- Updated middleware to skip management endpoints for improved security.
- Introduced an explicit `nil` logger check for minimal overhead.
- Updated dependencies in `go.mod`.
**feat(auth): add handling for 404 response with retry logic**
- Introduced support for 404 `not_found` status with a 12-hour backoff period.
- Updated `manager.go` to align state and status messages for 404 scenarios.
**refactor(translator): comment out debug logging in Gemini responses request**
- Updated `README_CN.md` to introduce Amp CLI and IDE support.
- Added detailed integration guide in `docs/amp-cli-integration_CN.md`.
- Covered setup, configuration, OAuth, security, and usage of Amp CLI with Google/ChatGPT/Claude subscriptions.
- Introduced `gpt-5.1-codex-max` variants to model definitions (`low`, `medium`, `high`, `xhigh`).
- Updated executor logic to map effort levels for Codex Max models.
- Added `lastCodexMaxPrompt` processing for `gpt-5.1-codex-max` prompts.
- Defined instructions for `gpt-5.1-codex-max` in a new file: `codex_instructions/gpt-5.1-codex-max_prompt.md`.
Add logic to avoid exposing credentials that have been removed from disk but still persist in memory. Ensure `runtimeOnly` checks and proper handling of disabled or removed authentication states.
Introduce `migrateLegacyOpenAICompatibilityKeys` to streamline and reuse the normalization of OpenAI compatibility entries. Remove redundant loops and enhance maintainability for compatibility key handling. Add cleanup for legacy `api-keys` in YAML configuration during persistence.
Extract reasoning effort mapping into a reusable function `setReasoningEffortByAlias` to reduce redundancy and improve maintainability. Introduce support for the "gpt-5.1-none" variant in the registry and runtime executor.
Expand executor logic to handle GPT-5.1 Codex family and its variants, including reasoning effort configurations for minimal, low, medium, and high levels. Ensure proper mapping of models to payload parameters.
Introduce `PayloadConfig` in the configuration to define default and override rules for modifying payload parameters. Implement `applyPayloadConfig` and `applyPayloadConfigWithRoot` to apply these rules across various executors, ensuring consistent parameter handling for different models and protocols. Update all relevant executors to utilize this functionality.
feat(runtime): add support for GPT-5.1 models and variants
Introduce GPT-5.1 model family, including minimal, low, medium, high, Codex, and Codex Mini variants. Update tokenization and reasoning effort handling to accommodate new models in executor and registry.
Refine `handleEvent` to support additional file system operations (Rename, Remove) for config and auth JSON files. Improve client update/removal logic with atomic file replacement handling and incremental processing for auth changes.
Introduce a new `buildinfo` package to store version, commit, and build date metadata. Update HTTP handlers to include build metadata in response headers and modify initialization to set `buildinfo` values during runtime.
Introduce support for multi-project Gemini CLI logins, including shared and virtual credential management. Enhance runtime, metadata handling, and token updates for better project granularity and consistency across virtual and shared credentials. Extend onboarding to allow activating all available projects.
Extend `resolveUsageSource` to support Vertex projects by extracting and normalizing `project_id` or `project` from the metadata for accurate source resolution.
Extend `vertexAccessToken` to support proxy-aware HTTP clients and update calls accordingly for better configurability. Add `deleteTokenRecord` to handle token cleanup, improving management of authentication files.
feat(management): add auth ID normalization and file-based ID resolution
Introduce `authIDForPath` to standardize ID generation from file paths, improving consistency in authentication handling. Update `registerAuthFromFile` and `disableAuth` to utilize normalized IDs, incorporating relative path resolution and file name extraction where applicable.
Enhance error management for file operations and clean up temporary files. Add `NormalizeCommentIndentation` function to ensure YAML comments maintain consistent formatting.
Introduce an endpoint for importing Vertex service account JSON keys and storing them as authentication records. Add handlers for managing WebSocket authentication configuration.
Introduce `scheduleConfigReload` with debounce functionality for config reloads, ensuring efficient handling of frequent changes. Added `stopConfigReloadTimer` for stopping timers during watcher shutdown.
Introduce Vertex AI Gemini integration with support for service account-based authentication, credential storage, and import functionality. Added new executor for Vertex AI requests, including execution and streaming paths, and integrated it into the core manager. Enhanced CLI with `--vertex-import` flag for importing service account keys.
Add `ensurePublished` to guarantee request counting even when usage fields (e.g., tokens) are absent in OpenAI-compatible executor responses, particularly for streaming paths.
Added detailed operational instructions for Codex agents based on GPT-5, covering shell usage, editing constraints, sandboxing policies, and approval mechanisms. Also included comprehensive review process guidelines for flagging and communicating issues effectively.
- Deleted `MANAGEMENT_API.md` and `MANAGEMENT_API_CN.md` as they are no longer necessary.
- Streamlined project documentation by removing redundant API details already covered elsewhere.
- Added detailed descriptions for new `/config.yaml` endpoints (GET/PUT).
- Documented API responses, error codes, and enhancements for log management, usage statistics, and OAuth flows.
- Updated examples and notes for better clarity across both EN and CN versions.
- Streamlined Chinese README by reducing redundancy and unnecessary sections.
- Added a concise link to CLIProxyAPI user manual for detailed instructions.
- Reorganized the original README with a simplified overview.
- Streamlined Chinese README by reducing redundancy and unnecessary sections.
- Added a concise link to CLIProxyAPI user manual for detailed instructions.
- Reorganized the original README with a simplified overview.
- Streamlined Chinese README by reducing redundancy and unnecessary sections.
- Added a concise link to CLIProxyAPI user manual for detailed instructions.
- Reorganized the original README with a simplified overview.
fix(translator): consolidate temperature and top_p conditionals in OpenAI Claude request
Fixed: #169
fix(translator): adjust instruction strings in Codex Claude and OpenAI responses
- Introduced `ClientSupportsModel` function to `ModelRegistry` for verifying client support for specific models.
- Integrated model support validation into executor candidate filtering logic.
- Updated CLIProxy registry interface to include the new support check method.
- Introduced `builtin` package exposing a default registry and pipeline for built-in translators.
- Added format constants for common schemas (e.g., OpenAI, Gemini, Codex).
- Implemented helper functions for schema translation using format name strings.
- Provided example usage for integration with translator helpers.
- 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.
