It seemed as if the OpenAI message spec tried to send non-compliant messages with { text: "" } instead of { contet: "" }, which the AI Gateway did not accept.
- Add minimax to KnownProvider and Api types
- Add MINIMAX_API_KEY to getEnvApiKey()
- Generate MiniMax-M2 and MiniMax-M2.1 models
- Add context overflow detection pattern
- Add tests to all required test files
- Update README and CHANGELOG with attribution
Also fixes:
- Bedrock duplicate toolResult ID when content has multiple blocks
- Sandbox extension unused parameter lint warning
Adds support for Amazon Bedrock with Claude models including:
- Full streaming support via Converse API
- Reasoning/thinking support for Claude models
- Cross-region inference model ID handling
- Multiple AWS credential sources (profile, IAM keys, API keys)
- Image support in messages and tool results
- Unicode surrogate sanitization
Also adds 'Adding a New Provider' documentation to AGENTS.md and README.
Co-authored-by: nickchan2 <nickchan2@users.noreply.github.com>
When running from source with tsx, the jiti aliases pointed to .js files
that don't exist (only .ts files exist). This caused jiti to fall back to
different module resolution, loading a separate instance of theme.ts where
initTheme() was never called, resulting in undefined theme.
Now checks if .js exists and falls back to .ts for dev mode compatibility.
Prevents undefined theme when extensions call ctx.ui.custom() in edge cases
where module resolution could cause the theme variable to be accessed before
initTheme() is called.
Previously all openai-codex models had pricing set to 0, causing the
TUI to always show $0.00 for cost tracking.
Updated pricing based on OpenAI Standard tier rates:
- gpt-5.2/gpt-5.2-codex: $1.75/$14.00 per 1M tokens
- gpt-5.1/gpt-5.1-codex/gpt-5.1-codex-max: $1.25/$10.00 per 1M tokens
- gpt-5/gpt-5-codex: $1.25/$10.00 per 1M tokens
- codex-mini-latest: $1.50/$6.00 per 1M tokens
- gpt-5-mini/gpt-5.1-codex-mini/gpt-5-codex-mini: $0.25/$2.00 per 1M tokens
- gpt-5-nano: $0.05/$0.40 per 1M tokens
Source: https://platform.openai.com/docs/pricing
- Remove per-thinking-level model variants (gpt-5.2-codex-high, etc.)
- Remove thinkingLevels from Model type
- Provider clamps reasoning effort internally
- Omit reasoning field when thinking is off
fixes#472
Previously the system prompt was converted to an input message in convertMessages,
then stripped out by filterPiSystemPrompts. Now the system prompt is passed directly
to transformRequestBody and appended after CODEX_PI_BRIDGE in the bridge message.
- /tools command opens SettingsList-based selector for all loaded tools
- Space/Enter toggles individual tools between enabled/disabled
- Changes apply immediately on toggle (like /settings)
- Tool selection persisted to session via appendEntry()
- State restored from current branch on session_start, session_tree, session_branch
- Uses getBranch() to respect branch-specific tool configuration
- Export getSettingsListTheme and getSelectListTheme for hooks to use
- Implement google-vertex provider in packages/ai
- Support ADC (Application Default Credentials) via @google/generative-ai
- Add Gemini model catalog for Vertex AI
- Update packages/coding-agent to handle google-vertex provider
- Add tree sidebar with search and filter (Default/All/Labels)
- Client-side markdown/syntax highlighting via vendored marked.js + highlight.js
- Base64 encode session data to avoid escaping issues
- Reuse theme.ts color tokens via getResolvedThemeColors()
- Sticky sidebar, responsive mobile layout with overlay
- Click tree node to scroll to message
- Keyboard shortcuts: Esc to reset, Ctrl/Cmd+F to search
- Check response.stopReason instead of catching errors for abort detection
- Return result object from _generateBranchSummary instead of throwing
- Fix summary attachment: attach to navigation target position, not old branch
- Support root-level summaries (parentId=null) in branchWithSummary
- Remove setTimeout hack for re-showing tree selector on abort
- Add TreeSelectorComponent with ASCII tree visualization
- Add AgentSession.navigateTree() for switching branches
- Add session_before_tree/session_tree hook events
- Add SessionManager.resetLeaf() for navigating to root
- Change leafId from string to string|null for consistency with parentId
- Support optional branch summarization when switching
- Update buildSessionContext() to handle null leafId
- Add /tree to slash commands in interactive mode
Hook commands now always execute immediately, even during streaming.
If a command needs to interact with the LLM, it uses pi.sendMessage()
which handles queueing automatically.
This simplifies the API and eliminates the issue of queued slash
commands being sent to the LLM instead of executing.
HookMessage (role: hookMessage) was being passed directly to transport
without transformation. Now it's transformed via messageTransformer
which converts it to a proper user message for the LLM.
Following the same pattern as BashExecutionMessage:
- HookAppMessage has role: 'hookMessage' with customType, content, display, details
- isHookAppMessage() type guard for checking message type
- messageTransformer converts to user message for LLM context
- TUI checks isHookAppMessage() for rendering as CustomMessageComponent
This makes the API clean for anyone building on AgentSession - they can
use the type guard instead of knowing about internal marker fields.
- getEnvApiKey: ANTHROPIC_OAUTH_TOKEN now takes precedence over ANTHROPIC_API_KEY
- findCutPoint: Stop scan-backwards loop at session header (was decrementing past it causing null preparation)
- generateSummary/generateTurnPrefixSummary: Throw on stopReason=error instead of returning empty string
- Test files: Fix API key priority order, use keepRecentTokens=1 for small test conversations
- Migrate glm-4.5, glm-4.5-air, glm-4.5-flash, glm-4.6, glm-4.7 from anthropic-messages to openai-completions API
- Updated baseUrl from https://api.z.ai/api/anthropic to https://api.z.ai/api/coding/paas/v4
- Added compat setting to disable developer role for zai models
- Filter empty text blocks in openai-completions to avoid zai API validation errors
- Fixed zai provider tests to use OpenAI-style options (reasoningEffort)
- Change all zai models from anthropic-messages to openai-completions API
- Update baseUrl from https://api.z.ai/api/anthropic to https://api.z.ai/api/coding/paas/v4
- Add compat setting to disable developer role for zai
- Update zai provider tests to use OpenAI-style options (reasoningEffort instead of thinkingEnabled/thinkingBudgetTokens)
- Enable previously disabled thinking and image input tests for zai models
