Export MakeBackup for external use, add ResetToDefaults function that
backs up current config, creates defaults, and preserves security
credentials. Add `picoclaw config reset` CLI command with --force flag.
* fix(pico): preserve image media across pico attachments and client
* * fix ci
* fix(pico): preserve text when client media parsing fails
- Skip non-inline Pico attachment URLs instead of treating them as invalid inline media
- Preserve pico_client text messages when malformed media payloads are received
- Add regression coverage for media.create, download attachments, and invalid media payloads
* fix lint
* add gemini web search provider
* fix(web): prefer free providers before Gemini in auto mode
* fix(web): expose gemini api key and model settings
* fix(web): prefer configured providers before Gemini in auto mode
* fix(web): satisfy gemini lint checks
* fix(web): address gemini provider review feedback
* test(web): align auto-provider expectations
* fix(web): let gemini ignore search range
* feat: improve model configuration workflows
Add model catalog browsing, provider registry with form validation,
model fetch/test dialogs, and enhanced model management UI.
- Add model catalog API and catalog-dialog component for browsing saved models
- Add provider-registry with auto-populated form fields per provider
- Add provider-combobox, fetch-models-dialog, test-model-dialog components
- Add model-validation for provider-aware model ID validation
- Add command and popover UI components
- Enhance edit-model-sheet with tool schema transform support
- Add anthropic to protocolMetaByName for correct default API base
- Apply NormalizeBaseURL to anthropic provider for consistent URL handling
- Add i18n keys for new model management features (en/zh)
* fix(web): prevent auto-fetch when API key is missing in fetch models dialog
When a provider requires an API key but none is set, the dialog now shows
the warning without triggering a doomed fetch attempt. Fetch is deferred
until the user provides a key.
* fix(web): add credential warning for catalog imports from remote providers
When importing models from a catalog entry whose provider requires an API
key, a yellow warning banner now informs users that credentials will need
to be configured after import.
* feat(web,api): test connection with real connectivity verification and unsaved form values
Add POST /api/models/test-inline endpoint that performs actual network
probes (GET /models) instead of just checking config. Frontend Test
Connection now uses current form values (not saved state) and is
available in both Add and Edit model flows.
* style(web): apply linter formatting across model config components
Normalize quote style, import ordering, and class name ordering as
reported by the project linter.
* fix(web,api): fix edit test connection false negative and gate fetch for unsupported providers
- handleTestInlineModel now accepts optional model_index to fall back to stored credentials when api_key is empty, fixing false negatives when testing edited models
- Add supportsFetch to provider registry and FETCHABLE_PROVIDER_KEYS derived set
- Gate Fetch Models button to only show for OpenAI-compatible and Ollama providers
- Add backend guard in handleFetchModels to reject unsupported providers with clear error
* fix: address review feedback on model config workflow
- Send explicit {} for empty extra_body/custom_headers fields so the
backend clears stored values instead of preserving them
- Merge backend provider_options with frontend PROVIDERS registry so
the provider picker reflects backend-supported providers and policy
fields (create_allowed, default_auth_method, auth_method_locked)
- Render provider combobox popover inside the sheet scroll container
to fix wheel events scrolling the sheet instead of the provider list
* feat(web,api): add provider selection, model form foundation, and validation
Split from PR #2752 (part 1 of 3).
Backend:
- CRUD model endpoints (list/add/update/delete/set-default)
- Provider metadata with default API bases and model provider options
- Model ID validation and normalization
- Anthropic default API base normalization
Frontend:
- Provider registry with metadata, labels, icons, and aliases
- Provider combobox with backend option merging
- Model field validation with provider-aware checks
- Redesigned add/edit model sheets with provider selection
- Dynamic imports for fetch/catalog/test dialogs (coming in PR2/PR3)
- i18n support for model configuration UI
Always route through classifySDKError to ensure resp.Body is
closed even when the API call succeeds.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Store QuoteToken for image, video, and sticker messages (not just text)
- Add webhook.LocationMessageContent case to forward as [location] placeholder
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Fix bodyclose linter errors by ensuring resp.Body is closed
after all *WithHttpInfo SDK calls.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Address review feedback:
- Use *WithHttpInfo SDK variants to get HTTP response status codes
- Map status codes via ClassifySendError (429→ErrRateLimit, 5xx→ErrTemporary, 4xx→ErrSendFailed)
- Fall back to ClassifyNetError for network-level failures
- Configure SDK with 30s timeout HTTP client
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix(channels): dismiss tool feedback animation when turn ends via ResponseHandled
When a tool sets ResponseHandled=true (e.g., send_file), the turn ends
without producing a final assistant response. This meant no outbound
message triggered FinalizeToolFeedbackMessage, leaving the animation
goroutine running indefinitely — editing the Feishu card every 3 seconds
with "." / ".." suffixes long after the tool had finished.
Fix: call DismissToolFeedback at "Tool output satisfied delivery" so the
tracker is cleared and the animation goroutine is stopped immediately.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(adapters): add DismissToolFeedback to channelManagerAdapter
The adapter must implement the new interface method added in the
previous commit, otherwise the package fails to compile.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(channels): pass InboundContext to DismissToolFeedback for topic-aware keys
Telegram forum topics use scoped tracker keys like "chatID/topicID",
resolved via ToolFeedbackMessageChatID with the InboundContext. The
previous nil context caused the lookup to fall back to the raw chatID,
missing the topic-scoped entry and leaving the animation goroutine
orphaned in forum-topic conversations.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* style: wrap long function signatures for golines
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(feishu): fix image download with API fallback and post image support
- Add Image.Get API fallback when MessageResource.Get fails (different
permission scope: im:resource vs im:message:readonly)
- Extract and download images from post (rich text) messages
- Extract images from interactive card messages
- Deduplicate post image keys across locales
- Add comprehensive tests for new helpers
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(media): add image path tags alongside base64 for LLM file access
Images are still base64-encoded into msg.Media for multimodal LLMs,
but now also get [image:path] tags injected into message content so
the LLM knows the local file path for save/forward operations.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* refactor(media): only auto-inject images for tool results, not user messages
Channel-received images (role=user) now get path tags only, letting
the LLM decide whether to view via load_image or just operate on
the file. Tool result images (role=tool, e.g. load_image) are
base64-encoded into a synthetic user message appended after the tool
message, since many LLM APIs don't support image_url in tool messages.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(media): preserve tool-message ordering for multi-tool-call scenarios
Move synthetic user message (carrying base64 tool images) to after the
entire contiguous tool-message block instead of immediately after each
tool message. This preserves the assistant→tool→tool ordering required
by OpenAI-compatible APIs.
Also fix load_image to use generic [image: photo] placeholder so
injectPathTags can properly replace it with the actual path.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(test): update load_image test for [image: photo] placeholder
The test was checking ForLLM for the media:// ref, but load_image now
emits the generic [image: photo] placeholder instead.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(media): match all channel image placeholders in injectPathTags
Different channels emit different placeholder formats — Telegram/Feishu
use [image: photo], WeCom/WeChat/Line use bare [image], QQ/Discord use
[image: <filename>]. The previous string-match code only handled
[image: photo], so for the other channels the path tag was appended as
a duplicate, producing content like "[image] [image:/path]".
Switch to per-type regex that matches all generic placeholder shapes
while leaving path tags ([image:/path]) untouched. Also fixes the same
issue for [audio], [video], [file] tags. Added test coverage for the
various placeholder shapes.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* fix(media): skip path tag append for JSON content (Feishu cards/posts)
When content is structured JSON (interactive cards, post messages),
injectPathTags now skips the fallback append — only placeholder
replacement is attempted. This prevents corrupting JSON payloads
like {"schema":"2.0",...} with appended [image:/path] tags.
Adds looksLikeJSON() helper and three test cases covering JSON
objects, arrays, and an end-to-end resolveMediaRefs scenario with
Feishu card content.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
* fix(media): prepend path tags for JSON content, narrow looksLikeJSON
Two fixes from code review:
1. looksLikeJSON now only checks for '{' prefix (not '['), avoiding
false positives on regular text like "[update] see attached".
2. For JSON content (Feishu cards/posts), path tags are prepended
before the JSON instead of being silently dropped. This ensures
the LLM can discover attached images via the path tag while the
JSON payload stays valid for downstream parsing.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
---------
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Tests cover: text-only streaming with chunk accumulation, tool call
parsing with fragmented JSON, mixed text+tool responses, context
cancellation, invalid JSON fallback to raw payload, nil stream guard,
default finish reason, and all stop reason mappings.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Adds ConverseStream API support to the Bedrock provider, implementing
the StreamingProvider interface. Tokens flow via onChunk callback for
real-time delivery to streaming-capable channels.
- Extract buildConverseParams to share request logic between Chat and ChatStream
- Add converseStreamReader interface for testability
- Preserve raw payload in Arguments on JSON parse failure
- Ensure Function.Arguments is always valid JSON
- Streaming timeout only applied when explicitly configured
- Capture stream Close() errors for diagnostics
- Consistent "bedrock conversestream" / "bedrock:" log prefixes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Add detection for 'unknown variant' + 'image_url' error pattern used by
DeepSeek and other strict providers when vision is not supported.
These providers reject the image_url field at the JSON schema level
rather than returning a semantic 'not supported' message.
* feat(tools): add cross-platform serial hardware tool
* feat(config): wire serial tool into runtime and dashboard
* hardware/serial: tighten validation and error handling
* hardware/serial: improve unix cancellation and timeout polling
* hardware/serial: improve windows I/O handling
* hardware/serial: fix darwin cross-compilation build
* docs(design): summarize hardware support and serial limits
* build: keep go generate on host during cross builds
* onboard: drop unrelated go generate change from serial work
* style(tools): wrap serial lines for golines
* refactor(pico): unify message kind handling of tool_calls and thought
* fix(pico): add legacy compatibility for thought payload in Send method
Co-authored-by: Copilot <copilot@github.com>
---------
Co-authored-by: Copilot <copilot@github.com>
- Return fmt.Sprintf fallback instead of {} on encoding errors to preserve visibility
- Normalize nil to empty map in FormatArgsJSON for consistent output
- Remove redundant nil check in toolFeedbackArgsPreview wrapper
- Update test expectation: nil args now return {} not null
