- Removed "Preview" suffix from model IDs, display names, and descriptions.
- Standardized naming conventions for all Gemini 3.x models to reflect production readiness.
- Updated Kimi executor to route all Claude requests through the OpenAI-compatible chat completions API.
- Removed legacy delegation to Claude executor for non-streaming and streaming execution.
- Enhanced translator integration for request normalization and Kimi model stripping.
- Updated tests to validate chat completions behavior, including upstream request logging, payload transformation, and response handling.
- Deleted Kimi K3[1M] variant and associated metadata.
Load codex_client_models.json like models.json with validation, revisioned
handler reloads, CI bake, and Home-aware updater gates so list IDs still
come from Home while templates can refresh on the edge.
- Incremented `defaultClientVersion` and `defaultCodexUserAgent` to `0.144.1`.
- Replaced GPT-5.5 with GPT-5.6 Sol in model registry, updating metadata including context window length, reasoning levels, and description.
- Enhanced model metadata with adjusted parameters, reasoning format, and new effort levels.
- Introduced `override_header` in model configurations to support runtime customization of upstream request headers.
- Added `applyModelHeaderOverrides` utility to enforce header overrides for relevant executor and websocket paths.
- Updated model registry and `models.json` with enhanced configurations for header customizations.
- Implemented and extended test cases to validate header override behavior for various models and scenarios.
- Bumped the `defaultClientVersion` and `defaultCodexUserAgent` to `0.144.0`.
- Replaced GPT-5.6 Sol with GPT-5.5 in model registry, adjusting metadata including context window length and reasoning levels.
- Updated `usage_helpers` to include `cache_write_tokens` logic for input token details.
- Registered new GPT-5.6 models (Sol, Terra, Luna) with detailed configurations, including increased context length and advanced reasoning levels.
- Updated client model configurations and metadata for GPT-5.6 Sol in `codex_client_models.json`.
- Registered Grok 4.5 with advanced agentic software and workflow task handling.
- Increased context length and max completion tokens for enhanced performance.
- Updated display names and descriptions of existing Gemini 3.5 Flash variants for better clarity.
- Introduced a new "Gemini 3.5 Flash (Medium)" variant with distinct configuration.
- Renamed "Low" tier to "Extra Low" for improved naming consistency.
Closes: #3949
- Introduced `AuthKind` and `AuthSourceKind` methods for improved credential type and source classification.
- Replaced legacy fallback logic with normalized attribute-based handling in `AuthKind`.
- Consolidated metadata inspection for both API key and OAuth attributes.
- Updated calls to replace direct `AccountInfo` usage with `AuthKind` and `AuthSourceKind`.
- Enhanced unit tests to validate explicit and fallback credential resolution scenarios.
- Added a new "max" level to model `thinking.levels` for enhanced customization.
- Removed deprecated Gemini 3 Pro (High/Low) models and associated fields from the registry.
- Simplified `thinking` attribute structure for `grok-build-0.1` and `grok-composer-2.5-fast` models.
Closes: #3901
- Replaced internal model-specific constants with exported defaults (`DefaultClaudeMaxInputTokens`, `DefaultClaudeMaxOutputTokens`).
- Refactored Claude model formatting to centralize schema application in `formatHomeClaudeModel`, with fields like `type`, `display_name`, and token limits.
- Added new unit tests for fallback behavior, metadata fields, and token handling in Claude and Gemini models.
- Removed deprecated test coverage for Amp provider model routes.
Closes: #3833
- Introduced the `gpt-image-2` model in Codex built-ins and updated visibility logic in the registry.
- Added direct proxy support for OpenAI image generation and editing endpoints.
- Implemented new execution paths for `/images/generations` and `/images/edit`, ensuring seamless handling for both JSON and multipart payloads.
- Expanded test coverage to validate the new model and direct proxy features, including streaming scenarios and error handling.
- Deleted `geminicli` provider and related `Apply` logic.
- Removed all translator packages specific to Gemini CLI (Claude, Codex integrations).
- Purged associated test files for Gemini CLI translation.
- Removed `GeminiAuthenticator` and all associated authentication logic (OAuth flows, token handling, refresh logic).
- Deleted internal/executor Gemini OAuth support, including bearer token handling and runtime API logic.
- Purged all tests, configs, and command-line flags specific to Gemini OAuth flows.
- Updated documentation and aliases to reflect Gemini removal.
- Renamed `parseRetryDelay` to `ParseRetryDelay` and `deleteJSONField` to `DeleteJSONField`.
- Updated references in `antigravity_executor` and tests to use the new `helps` package.
- Adjusted import paths and test cases to ensure compatibility with the new location.
- Updated README files to reflect changes in the retry logic references.
- Updated `.github/ISSUE_TEMPLATE/bug_report.md` to remove deprecated Gemini CLI mention.
Anthropic's List Models schema types created_at as an RFC 3339 datetime
string, but the Claude case of convertModelToMap emitted model.Created
as a Unix-timestamp integer. Format it with time.RFC3339 so the listing
matches the documented schema.
Anthropic's List Models response (GET /v1/models) defines each model object
with id, display_name, max_input_tokens, max_tokens, created_at and type.
The Claude case of convertModelToMap emitted an incomplete object: it dropped
max_input_tokens and max_tokens entirely and omitted display_name whenever it
was unset, so the Anthropic-compatible listing did not match the schema it
emulates.
Emit max_input_tokens from ContextLength and max_tokens from
MaxCompletionTokens (the same registry metadata the Gemini case already
surfaces as inputTokenLimit/outputTokenLimit), with fallbacks, and always
emit display_name, falling back to the model ID.
Add kimi-k2.7-code to the model registry with:
- 262K context length, 65K max completion tokens
- Thinking support (dynamic, 1024-32000 budget)
- zero_allowed=false (K2.7 Code does not support non-thinking mode)
Closes#3826
Add a native Antigravity WebSearch path for Claude typed WebSearch requests.
Detect Claude Messages requests whose tools are only typed WebSearch tools
(web_search_20250305 / web_search_20260209), and convert them into an
Antigravity requestType=web_search payload instead of sending the request
through the normal tool-calling path.
Preserve the user's requested model. The native path is enabled only when that
Antigravity model is known to support Google Search. Capability data fetched
from Antigravity model info is used only as an enhancement to the local model
registry, not as a replacement for the existing registry fallback behavior.
Unsupported models keep the existing Antigravity request behavior and are not
silently rerouted to another web-search-capable model.
Translate Claude WebSearch request options to the verified Antigravity
googleSearch shape:
- max_uses -> googleSearch.enhancedContent.imageSearch.maxResultCount
- allowed_domains -> googleSearch.includedDomains
Leave blocked_domains and user_location unmapped because the Antigravity
googleSearch request shape has no verified equivalent for them. This avoids
sending speculative fields or pretending unsupported Claude WebSearch options
are enforced upstream.
Translate Antigravity web-search responses back into Claude-compatible output:
server_tool_use blocks, web_search_tool_result blocks, cited text blocks,
grounding URLs, and usage-compatible stream/non-stream responses.
Cover the behavior with tests for request conversion, response conversion,
grounding URL resolution, domain filter mapping, fetched capability hints,
excluded-model handling, and unsupported-model behavior.
- Added new model `Claude Fable 5` to `models.json` with enhanced reasoning and long-horizon capabilities.
- Included detailed parameters such as context length, max completion tokens, and thinking level configurations.
- Implemented command-line flag registration and execution for plugins with priority-based conflict resolution.
- Enabled plugin-owned command-line flag execution and persistence of plugin-auth data.
- Added new `Host` methods to support command-line capabilities, including flag normalization, validation, and execution state management.
- Introduced unit tests to ensure coverage for command-line plugin functionality, including auth data persistence.
- Updated configs to normalize plugins during initialization.
- Cleaned up outdated GPT 5.2 and GPT 5.3 Codex model configurations from `models.json`.
- Simplified registry by removing unused model references across all tiers (`codex-team`, `codex-plus`, `codex-pro`).
- Introduced `grok-composer-2.5-fast` as a new XAI model.
- Updated registry to include display name, description, and configuration details for the new model.
- Enabled support for the model in the Responses API.
- Introduced `grok-imagine-video-1.5-preview` as a new XAI video model.
- Updated handlers, registry, and validation logic to include support for the new model.
- Enhanced test coverage to validate integration and functionality of the preview model.
- Registered `gemini-3.5-flash` model with dynamic thinking levels and extended token limits.
- Supports multiple generation methods, including cached and batch content creation.
- Added new model `gemini-3.5-flash` to the registry with enhanced intelligence and speed capabilities.
- Supports extended thinking levels (`minimal`, `low`, `medium`, `high`) and dynamic adjustments.
- Expanded generation methods, including content creation and token counting.
- Registered new models: `gemini-3-flash-agent` and `gemini-3.5-flash-low` with detailed specifications.
- Includes support for dynamic thinking levels and extended context capabilities.
- Introduced OpenAI-compatible image model support in the API, enabling integration through image generation and editing endpoints.
- Added registry type for OpenAIImageModelType to classify and validate compatibility.
- Implemented request handling for OpenAI-compatible image models, including JSON and multipart formats.
- Enhanced executor methods to support OpenAI-compatible image streaming and non-streaming requests.
- Included tests to validate model registration, streaming behavior, and multipart payload formatting.
Luis Pater