The prompt for the gpt-5.2 codex model has been updated with more comprehensive instructions. This includes detailed guidelines on general usage, editing constraints, the plan tool, sandboxing configurations, handling special user requests, frontend task considerations, and final message presentation. The updates aim to improve the model's understanding and execution of complex coding tasks by providing clearer directives and constraints.
This change introduces specific logic to load and use instructions for the 'gpt-5.2-codex' model variant by recognizing the 'gpt-5.2-codex_prompt.md' filename. This ensures the correct prompts are used when the '5.2-codex' model is identified, complementing the recent addition of its definition.
- Added `gpt_5_1_prompt.md` and `gpt_5_codex_prompt.md` to document Codex instruction guidelines.
- These detail the behavior, constraints, and execution policies for GPT-5-based Codex agents in the CLI environment.
- 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`.
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.
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.
- 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 unique `user_id` metadata generation in OpenAI to Claude transformation functions.
- Utilized `uuid` and `sha256` for deterministic `account`, `session`, and `user` values.
- Embedded `user_id` into request payloads to enhance request tracking and identification.
- Implemented a global logger with structured formatting for consistent log output.
- Added support for rotating log files using Lumberjack.
- Integrated new logging functionality with Gin HTTP server for unified log handling.
- Replaced direct `log.Info` calls with `fmt.Printf` in non-critical paths to simplify core functionality.
- Introduced `EnsureHeader` in `internal/misc/header_utils.go` to streamline header setting across executors.
- Updated Codex, Claude, and Gemini executors to utilize `EnsureHeader` for consistent header application.
- Incorporated Gin context headers (if available) into request header manipulation for better integration.
The logic for logging the path where credentials are saved was duplicated across several client implementations.
This commit refactors this behavior by creating a new centralized function, `misc.LogSavingCredentials`, to handle this logging. The `SaveTokenToFile` method in each authentication token storage struct now calls this new function, ensuring consistent logging and reducing code duplication.
The redundant logging statements in the client-level `SaveTokenToFile` methods have been removed.
- Simplified `gpt_5_instructions.txt` by removing redundancy and aligning scope with AGENTS.md standard instructions.
- Enhanced clarity and relevance of directives per Codex context.
- Added `CodexInstructions(modelName string)` function to dynamically select instructions based on the model (e.g., GPT-5 Codex).
- Introduced `gpt_5_instructions.txt` and `gpt_5_codex_instructions.txt` for respective model configurations.
- Updated translators to pass `modelName` and use the new instruction logic.
- Implemented new handlers (`RequestGeminiCLIToken`, `RequestAnthropicToken`, `RequestCodexToken`, `RequestQwenToken`) for initiating OAuth flows.
- Added endpoints for authorization URLs in management API.
- Extracted `GenerateRandomState` to a reusable utility in `misc` package.
- Refactored related logic in `openai_login.go` and `anthropic_login.go` for consistency.
Add endpoints for initiating OAuth flows in management API documentation
- Documented new endpoints for Anthropic, Codex, Gemini CLI, and Qwen login URLs.
- Provided request and response examples for each endpoint in both English and Chinese versions.
