Loaded cached standard provider discovery models into ModelRegistry at startup so retry fallback validation can resolve Ollama Cloud models that are already visible through --list-models.
Added regression coverage for cached ollama-cloud fallback selectors and fixed a readonly notices type error exposed by the focused type check.
Fixes#1052
- Removed export leakage by demoting many helper and const symbols to module-local scope.
- Renamed underscore-prefixed internals and cache fields, then updated related references and `satisfies never` checks.
- Deleted obsolete logic branches and helpers, including harmony-stream interruption flow and unused benchmark runtime helpers.
- Updated Biome config and manifests by broadening lint coverage and removing an unused `@napi-rs/cli` dev dependency.
- Adjusted tests and utilities to use renamed test helpers and remove redundant private test-only helpers/locals.
When cached or freshly-discovered provider models carry UNK_CONTEXT_WINDOW
(222222) / UNK_MAX_TOKENS (8888) sentinels, #mergeResolvedModels was
replacing the bundled model wholesale — wiping out the correct values.
Switch to a field-level merge that preserves the bundled model's
contextWindow and maxTokens when the replacement only has sentinel
fallbacks. Custom models (via #mergeCustomModels) already had this
protection via ?? fallback; provider discoveries didn't.
Fixes the TUI showing 222222/8888 instead of the real context/token
limits for discovered models.
Exposes model.compat.disableStrictTools (already supported by the anthropic
transport since #826) via models.yml so users can configure it without code
changes.
Set disableStrictTools: true at the provider level to disable strict tool
schemas for third-party Anthropic-compatible endpoints (AWS Bedrock, Vertex
AI proxies, custom gateways) that reject the strict field.
- Add disableStrictTools to ProviderConfigSchema
- Merge { disableStrictTools: true } into provider compat override when set,
flowing through the existing compat pipeline to model.compat.disableStrictTools
- disableStrictTools alone is sufficient for an override-only provider entry
- Update docs/models.md with field reference, Bedrock example, and proxy note
- Add tests covering provider-level propagation, built-in override, and
overlay merge
The helper guarded `model.api === "openai-completions"` and returned undefined
for openai-responses models. The discoverable-custom-compat test sets
`api: "openai-responses"` on a custom model with `compat.extraBody`, so the
post-refresh assertion saw `undefined` instead of the configured proxy hint.
The OpenAICompatSchema gates user-facing custom-model compat regardless of the
underlying api wire format, so reading the field as OpenAICompat for any api
matches what the registry actually stores.
Commit a190397d8 made `Model.compat` resolve to `OpenAICompat | AnthropicCompat`
under the default `TApi = any`. The widened union broke every site that treated
`compat` as openai-shaped: model-registry deep-merge, openai-completions resolved
compat, and ~20 test fixtures. This restores the assumption locally instead of
papering over it with casts.
- getBundledModel is now generic on TApi so test fixtures that spread it into
`Model<"openai-completions">` get the narrow compat back.
- mergeCompat is generic over TBase/TOverride; the schema-driven model-registry
override path keeps its OpenAICompat-shaped merge fields, anthropic overrides
pass through untouched.
- OpenAICompatSchema gains the openai-only fields it was missing
(requiresMistralToolIds, reasoningContentField, requiresReasoningContent*,
thinkingFormat, requiresThinkingAsText, disableReasoningOnForcedToolChoice).
- resolveOpenAICompat fills in disableReasoningOnForcedToolChoice so the
Required<OpenAICompat> shape stays satisfied.
- Anthropic tool-result block id assignment uses the proper unknown double-cast.
- isForcedToolChoice accepts unknown so it can read `params.tool_choice` whose
type comes from the OpenAI SDK ChatCompletionToolChoiceOption (now wider than
our local OpenAICompletionsToolChoice).
- Test fixtures and Required<OpenAICompat> literals updated for the field set.
Fixes CI red on main.
- Added an `isOAuth` model flag and passed it through Anthropic stream calls to force OAuth-shaped request options.
- Extended model-registry config handling with an `auth: oauth` mode and default `isOAuth` resolution for `anthropic-messages` providers while allowing explicit `apiKey` auth to remain unset.
- Added tests covering OAuth defaults and opt-outs for Anthropic and non-Anthropic custom providers.
- Register claude-opus-4-7 model entry in models.json
- Cover adaptive thinking/sampling payload shape in anthropic-alignment test
- Assert Opus 4.7 surfaces in ModelRegistry available models
- Standardized missing-file read errors and now return `File not found: <path>` for absent edit targets.
- Centralized AI provider, usage, and OAuth helpers into shared modules to remove duplicated logic.
- Migrated OAuth/API-key login flows to shared factory helpers and removed inline prompt/token-exchange code.
- Reused shared tools and formatter utilities for discovery, stream tails, LSP batching, and source formatting.
- Consolidated repeated test helpers and fixtures into shared modules, replacing inline helper duplicates.
Three fixes to make CI green after the opus 4.7 and auto-bump landed:
1. github-copilot model mapper: prefer capabilities.limits.max_prompt_tokens
over the root-level context_length field (which mirrors max_context_window_tokens, i.e.
total window). Copilot's real /models response returns both for the gpt-5.x family, and
context_length inflates contextWindow with the output budget. Also restore the bundled
Copilot limits (claude-opus-4.6, gpt-5.2, gpt-5.4, gpt-5.4-mini, grok-code-fast-1) to
the values the fixed mapper produces so tests that depend on truthful offline fallbacks
pass. Update the two Copilot discovery tests whose payloads conflated context_length
with prompt capacity.
2. coding-agent task schema: make the per-task assignment description context-mode-aware.
The previous description unconditionally told agents that 'shared background belongs
in context', which is wrong for independent mode where shared context is disabled.
3. coding-agent model-registry test: update the anthropic-latest canonical collapse case
to claude-opus-4-7 since opus 4.7 is now the newest official opus in models.json.
Add ollama-chat API provider supporting:
- Streaming chat completions via Ollama Cloud (ollama.com) API
- API key authentication via OLLAMA_API_KEY env var
- Thinking/reasoning model support with configurable effort levels
- Tool calling with streaming JSON argument assembly
- Dynamic model discovery via /api/tags and /api/show metadata
- Context window detection from model info
- Login flow via pi login ollama-cloud
- Added `toolStrictMode` support with `all_strict`/`none`/`mixed` options to OpenAI compatibility.
- Fixed OpenAI-completion strict-mode flows by capturing failed HTTP responses and retrying once as non-strict.
- Fixed completion error reporting by surfacing captured status, headers, and JSON `type`/`param`/`code` details.
- Improved strict-schema enforcement with WeakMap memoization and circular-schema detection in sanitization.
- Fixed OpenRouter provider lookup by resolving fallback model IDs for suffix and date variants in registry resolution.
- Refactored benchmark tooling and added async RPC error-window tracking for scheduled run execution.
- Added canonical model equivalence types, cache helpers, and registry APIs for provider variant lookup.
- Changed model resolution to apply canonical ID overrides/excludes with provider order before fallback matching.
- Added canonical and provider model views in list-models and selector UI with canonical sorting/persistence.
- Updated role/model persistence to store selectors while runtime now resolves concrete canonical-backed provider models.
Replace VSCode extension impersonation (client ID Iv1.b507a08c87ecfe98,
User-Agent GitHubCopilotChat/0.35.0) with the opencode OAuth app
(Ov23li8tweQw6odWQebz, User-Agent opencode/1.3.15).
Key changes:
- OAuth device flow now uses JSON body encoding and opencode headers
- GitHub OAuth token is used directly for all API requests; no JWT
exchange or refresh cycle needed
- Base URL changed from api.individual.githubcopilot.com to
api.githubcopilot.com across models.json, openai-compat.ts, and
the oauth module
- Removed proxy-ep JWT base URL extraction from github-copilot-headers.ts
and openai-compat.ts (resolveGitHubCopilotBaseUrl now passes through
the model baseUrl unchanged)
- refreshGitHubCopilotToken is now a synchronous identity return
- All 25 bundled Copilot model definitions updated to new headers/baseUrl
- Tests updated to reflect plain GitHub token format and new base URL
Existing users will need to re-authenticate once with /login github-copilot.
- Applied `disabledProviders` setting to `getAvailable()` and `getDiscoverableProviders()` so `--list-models` and `/model` hide models from disabled providers.
- Initialized settings before model refresh in the `--list-models` code path.
- Added tests verifying disabled providers are excluded from both methods.
Fixes#588
- Updated llama.cpp model discovery to read context window from the `/props` endpoint's `default_generation_settings.n_ctx` field instead of using hardcoded 128000 default.
- Updated llama.cpp model discovery to detect vision capabilities from the `/props` endpoint's `modalities.vision` field instead of defaulting to text-only input.
- Changed llama.cpp `maxTokens` calculation to respect discovered context window limits, capping at 8192 or the server's context window, whichever is smaller.
- Added `#toLlamaCppNativeBaseUrl()` helper to normalize llama.cpp base URLs by stripping `/v1` suffix for native endpoint access.
- Added 3 test cases to verify context window, vision capability, and authorization header handling in llama.cpp discovery.
- Added automatic Ollama model context window discovery from metadata for accurate token limits.
- Added `attribution` option to `PromptOptions` for explicit billing and initiator attribution control.
- Added automatic clearing of completed and abandoned todo tasks after ~1 minute.
- Changed session directory migration to use `-tmp-` prefix instead of double-dash format.
- Updated Ollama model registration to use discovered context window instead of hardcoded 128000 token default.
Fixes#440
- Added support for provider-level OpenAI compatibility configuration enabling reasoning effort mapping and streaming usage fallback across models.
- Added 10 new AI models (DeepSeek V3.2, Llama 3.1 405B, Mistral Large 3, Pixtral Large, and others) with updated pricing and context windows.
- Fixed autocomplete to preserve ./ prefix in relative file/directory path completions and paste marker expansion to handle regex tokens literally.
- Changed system prompt date format to ISO 8601 and tool download timeout from 15s to 120s for improved cross-platform compatibility.
- Refactored OpenAI completions provider to extract token parsing logic and support choice-level usage fallback with improved message serialization.
- Added `close()` method to SessionManager and AuthStorage for proper resource cleanup and finalization of prepared statements.
- Added `initiatorOverride` option support in OpenAI and Anthropic providers for message attribution control.
- Fixed resource leaks in RpcClient timeout handling by centralizing timeout creation with unref() and adding explicit clearTimeout() calls.
- Fixed AgentSession disposal to call SessionManager's `close()` method for guaranteed resource cleanup instead of fallback flush.
- Updated all test suites to properly dispose AuthStorage instances in cleanup hooks to prevent resource leaks between tests.
* add llama.cpp as local provider
* use responses api instead of messages
* use api-keys correctly for llama.cpp provider
---------
Co-authored-by: Can Bölük <can1357@users.noreply.github.com>
- Added background model discovery with provider status tracking and 24-hour model caching to improve startup performance.
- Changed model discovery timeout from 3000ms to 250ms and deferred blocking refresh to background operations for faster initialization.
- Fixed model discovery to preserve cached models when providers are unavailable or unauthenticated.
- Added validation in Kitty key formatting to reject unsupported modifiers and improved error handling.
- Reorganized CI workflow to run TypeScript linting in check job and conditional Rust checks in native job matrix.
- Updated system prompt and tool guidance to recommend combined investigation-and-edit workflows and maintainable code practices.
- Reapplied #applyHardcodedModelPolicies method to enforce gpt-5.4 context window policy across all model loading paths.
- Updated model registry to apply hardcoded policies after both initial load and dynamic discovery.
- Adjusted test expectations to reflect the restored policy enforcement behavior.
- Extracted fetch mocking logic into reusable `hookFetch()` utility function with middleware-style handler pattern.
- Replaced manual `globalThis.fetch` assignment and restoration across 10 test files with `hookFetch()` calls using `using` statement for automatic cleanup.
- Implemented Disposable pattern with Symbol.dispose for fetch hook resource management, eliminating try-finally blocks.
- Exported `hookFetch` from utils public API to enable consistent fetch mocking across packages.
- Added automatic Ollama model capability detection via /api/show endpoint to discover reasoning and input modality support.
- Improved Kagi API error handling with structured error parsing for JSON and plain text response formats.
- Fixed Cerebras streaming compatibility by omitting stream_options.include_usage parameter.
- Simplified API key credential storage to always replace credentials instead of merging for non-minimax providers.
- Updated Kagi Search API key format from 'kagi_...' to 'KG_...' and clarified beta access requirement in provider description.
Fixes#326.
Fixes#321.
Fixes#298.
- Introduced Effort enum and ThinkingConfig metadata for per-model reasoning capabilities with min/max effort levels.
- Migrated thinking level API from string-based ThinkingLevel to structured Effort enum across agent and AI packages.
- Added model-thinking module with effort mapping, policy application, and semantic versioning utilities for provider-specific thinking modes.
- Removed supportsXhigh() function and replaced effort clamping with model-aware validation using ThinkingConfig metadata.
- Expanded models.json with thinking configuration objects for 50+ models including Claude, Gemini, and OpenAI variants.
- Added Python analysis scripts for edit tool usage patterns and tool invocation stream processing.
- Added ModelManager API with createModelManager() factory for managing bundled and dynamically discovered models with configurable refresh strategies.
- Exported discovery utilities for fetching models from Antigravity, Codex, Cursor, Gemini, and OpenAI-compatible endpoints with provider-specific model manager configuration helpers.
- Renamed public API functions for clarity: getModel() -> getBundledModel(), getModels() -> getBundledModels(), getProviders() -> getBundledProviders().
- Added on-disk model caching with TTL-based invalidation and resolveProviderModels() function for runtime model resolution with source precedence.
- Refactored model discovery script to dynamically fetch models from Codex, Cursor, and Antigravity using OAuth credentials instead of hardcoded lists.
- Migrated authentication storage from JSON-based (auth.json) to database-based (agent.db) format across test files and configuration.
- Simplified auth storage discovery in sdk.ts by removing manual path construction and fallback logic in favor of centralized getAgentDbPath() function.
- Removed dbPath instance property from AuthStorage class as database path is now managed centrally.
- Updated environment variable precedence documentation to reflect agent.db instead of auth.json as the lowest priority source.
- Removed OAuth provider section header comments from multiple test files for cleaner test organization.
- Added support for JSON and JSONC configuration file formats without requiring migration to YAML.
roboomp