* refactor: use Twilight AI SDK for model and provider connectivity testing
Replace hand-rolled HTTP probing with the Twilight AI SDK's built-in
Provider.Test() and TestModel() methods.
- Model test now runs Provider.Test() (connectivity + auth) followed by
TestModel() (model availability) via the SDK
- Provider test auto-detects client_type from associated models and
creates the correct SDK provider for accurate auth header handling
- Embedding models use a dedicated /embeddings endpoint probe since
the SDK's chat Provider doesn't cover embedding APIs
- Latency measurement now covers the full test lifecycle
- Add TestStatusModelNotSupported for models not found by the provider
- Upgrade twilight-ai to v0.3.3-0.20260321100646-43c789b701dd which
includes fallback probing for providers without GET /models/{id}
* fix: lint
- Rewrite SQL queries to join bot_history_messages with bot_sessions,
supporting chat/heartbeat/schedule usage from a single source
- Update Go handler and CLI command to use unified queries
- Fix daily chart stacking: each session type gets its own bar group
- Add total input/output trend lines to the daily token chart
- Fix summary cards reactivity by restricting aggregation to allDays range
- Fix cache chart reactive dependency tracking by inlining data access
- Add i18n keys for schedule, totalInput, totalOutput
- Default time range changed to 7 days
- Regenerate sqlc, swagger, and SDK
* refactor: introduce multi-session chat support (#session)
Replace the single-context-per-bot model with multiple chat sessions.
Database:
- Add bot_sessions table (route_id, channel_type, title, metadata, soft delete)
- Migrate bot_history_messages from (route_id, channel_type) to session_id
- Add active_session_id to bot_channel_routes
- Migration 0036 handles data migration from existing messages
Backend:
- New internal/session service for session CRUD
- Update message service/types to use session_id instead of route_id
- Update conversation flow (resolver, history, store) for session context
- Channel inbound auto-creates/retrieves active session via SessionEnsurer
- New REST endpoints: /bots/:bot_id/sessions (CRUD)
- WebSocket and message handlers accept optional session_id
- Wire session service into FX dependency graph (agent + memoh)
Frontend:
- Refactor chat store: sessions replaces chats, sessionId replaces chatId
- Session-aware message loading, sending, and pagination
- WebSocket sends include session_id
- New session sidebar component with select/delete
- Chat area header shows active session title + new session button
- API layer updated: fetchSessions, createSession, deleteSession
- i18n strings for session management (en + zh)
SDK:
- Regenerated TypeScript SDK and Swagger docs with session endpoints
* fix: update tests for session refactoring (RouteID → SessionID)
Remove references to removed RouteID and Platform fields from
PersistInput/Message in channel_test.go and service_integration_test.go.
* fix: restore accidentally deleted SDK files and guard migration 0032
- Restore packages/sdk/src/container-stream.ts and extra/index.ts that
were accidentally removed during SDK regeneration
- Wrap migration 0032 route_id index creation in a column existence check
to avoid failure on fresh databases where 0001_init.up.sql no longer
has route_id
* fix: guard migration 0036 data steps for fresh databases
Wrap steps 3-7 (which reference route_id/channel_type on
bot_history_messages) in a column existence check so the migration
is safe on fresh databases where 0001_init.up.sql already reflects
the final schema without those columns.
* feat: add title model setting and auto-generate session titles on user input
- Add title_model_id to bots table (migration 0037) and bot settings API
- Implement async title generation triggered at user message time (not after
assistant response) for faster title availability
- Publish session_title_updated events via SSE event hub for real-time
frontend updates without page refresh
- Fix SSE message event parsing: use direct JSON.parse instead of
normalizeStreamEvent which silently dropped non-chat-stream event types
- Add title model selector in bot settings UI with i18n support
* fix: session-scoped message filtering and URL-based chat routing
- Filter realtime SSE messages by session_id to prevent cross-session
message leakage after page refresh
- Add /chat/:sessionId? route with bidirectional URL ↔ store sync
- Visiting /chat shows a clean state with no bot or session pre-selected
- Visiting /chat/:sessionId loads the specific session directly
- Session switches from sidebar automatically update the URL
- Fix stale RouteID field in dedupe test (removed during session refactor)
* fix: skip cross-channel stream events to prevent session leakage
The bot-level web stream pushes events from all channels (Telegram,
Discord, etc.) without session_id context. Previously these were
rendered inline in the current chat view regardless of session.
Now cross-channel events are ignored in handleLocalStreamEvent;
persisted messages arrive via the SSE message events stream with
proper session_id filtering through appendRealtimeMessage.
* feat: show IM avatars and platform badges on session sidebar
- Add sender_avatar_url to route metadata from identity resolution
- Resolve group avatar and handle via directory adapter for group chats
- JOIN bot_channel_routes in ListSessionsByBot to return route metadata
- Display avatar with ChannelBadge on IM session items (group avatar
for groups, sender avatar for private chats)
- Show @groupname or @username as session sub-label
* fix: clean up RunConfig unused fields, fix skill system and copy bug
- Remove unused RunConfig fields: Tools, Channels, CurrentChannel,
ActiveContextTime
- Remove unused SessionContext fields: DisplayName, ConversationType
- Fix EnabledSkillNames copy bug: make([]string, 0, n) + copy copies
zero elements; changed to make([]string, n)
- Fix prepareRunConfig dead code: remove no-op loop over
CurrentPlatform runes; compute supportsImageInput from model's
InputModalities
- Fix EnabledSkills always nil in system prompt: resolve enabled skill
entries from EnabledSkillNames + Skills
- Fix use_skill tool returning empty response: now returns full skill
content (description + instructions) so LLM gets it in the same turn
- Skip use_skill tool registration when no skills are available
- Conditionally render Skills section in system prompt (hidden when
no skills exist)
* feat: add session type field and bind sessions to heartbeat/schedule executions
- Add `type` column to `bot_sessions` (chat | heartbeat | schedule)
- Add `session_id` to `bot_heartbeat_logs` for per-execution session tracking
- Create `schedule_logs` table binding schedule_id + session_id
- Heartbeat and schedule runs now create independent sessions and persist
agent messages via storeRound, enabling full conversation replay
- Add schedule logs API endpoints (list by bot, list by schedule, delete)
- Update Triggerer interfaces to return TriggerResult with status/usage/model
* refactor: modular system prompts per session type (chat/heartbeat/schedule)
Split the monolithic system.md into three type-specific system prompts
with shared fragments via {{include:_xxx}} syntax, so each session type
gets a focused prompt without irrelevant instructions.
* fix: prevent message duplication after task completion
message_created events from Persist() had an empty platform field because
toMessageFromCreate() didn't extract it from the session. This caused
appendRealtimeMessage to fail the platform === 'web' guard, and
hasMessageWithId to fail because local IDs differ from server UUIDs,
resulting in all messages being appended as duplicates.
- Extract platform from metadata in toMessageFromCreate so published events
carry the correct value
- Pass channel_type: 'web' when creating sessions from the web frontend so
List queries return the correct platform via the session JOIN
* fix: use per-message usage from SDK instead of misaligned step-level usages
Previously, token usage was stored via a separate per-step usages array
that didn't align with messages (off-by-one from prepending user message,
step count != message count). This caused:
- User messages incorrectly receiving usage data
- Usage values shifted across messages in multi-step rounds
- Last assistant message getting the accumulated total instead of its own step usage
- InputTokenDetails/OutputTokenDetails lost during manual accumulation
Now each sdk.Message carries its own per-step Usage (set by the SDK in
buildStepMessages), which is extracted in sdkMessagesToModelMessages and
stored directly via ModelMessage.Usage. The storeRound/storeMessages path
no longer needs external usage/usages parameters.
Also fixes the totalUsage accumulation in runStream to include all detail
fields (InputTokenDetails, OutputTokenDetails).
* feat: add /new slash command to create a new active session from IM channels
Users in Telegram/Discord/Feishu can now send /new to start a fresh
conversation, resetting the session context for the current chat thread.
The command resolves the channel route, creates a new session, sets it as
the active session on the route, and replies with a confirmation message.
* feat: distinguish heartbeat and schedule sessions with dedicated icons in sidebar
Heartbeat sessions show a heart-pulse icon (rose), schedule sessions
show a clock icon (amber), and both display a type label beneath the
session title.
* refactor: remove enabledSkills system prompt injection, keep sorted skill listing
use_skill now returns skill content directly as tool output, so there is
no need to inject enabled skill body text into the system prompt. Remove
the entire enabledSkills tracking chain (RunConfig.EnabledSkillNames,
StreamEvent.Skills, GenerateResult.Skills, ChatRequest/Response.Skills,
enableSkill closures in runStream/runGenerate, prepareRunConfig matching).
Keep a lightweight skills listing (name + description only) in the system
prompt so the model knows which skills are available. Sort entries by name
to guarantee deterministic ordering and maximize KV cache reuse.
* refactor: remove inbox system, persist passive messages directly to history
Replace the bot_inbox table and service with direct writes to
bot_history_messages for group conversations where the bot is not
@mentioned. Trigger-path messages continue to be persisted after the
agent responds (unchanged).
- Drop bot_inbox table and max_inbox_items column (migration 0039)
- Delete internal/inbox/, handlers/inbox.go, command/inbox.go,
agent/tools/inbox.go and the MCP message provider
- Add persistPassiveMessage() in channel inbound to write user
messages into the active session immediately
- Rewrite ListObservedConversationsByChannelIdentity to query
bot_history_messages + bot_sessions instead of bot_inbox
- Extract shared send/react logic into internal/messaging/executor.go;
agent/tools/message.go is now a thin SDK adapter
- Clean up all inbox references from agent prompts, flow resolver,
email trigger, settings, commands, DI wiring, and frontend
- Regenerate sqlc, swagger, and SDK
* feat: add list_sessions and search_messages agent tools
Provide agents with the ability to query session metadata and search
message history across all sessions. search_messages supports filtering
by time range, keyword (JSONB-aware ILIKE), session, contact, and role,
with a default 7-day lookback when no start_time is given.
* feat: inject last_heartbeat time and improve heartbeat search guidance
Query the previous heartbeat's started_at timestamp and pass it through
TriggerPayload into the heartbeat prompt template. Update system prompt
and HEARTBEAT.md checklist to guide agents to use search_messages with
start_time=last_heartbeat for efficient cross-session message review.
* fix: pass BridgeProvider to FSClient and store full heartbeat prompt
FSClient was always created with nil provider, causing all container
file reads (IDENTITY.md, SOUL.md, MEMORY.md, HEARTBEAT.md, etc.) to
silently return empty strings. Expose Agent.BridgeProvider() and wire
it into Resolver. Also fix heartbeat trigger to store the full prompt
template as the user message instead of the literal "heartbeat" string.
* feat: add line numbers to container file read output
Move line-number formatting from the bridge gRPC server to the agent
tool layer so that the raw content stored and transmitted via gRPC
remains clean, while the read_file tool output includes numbered lines
for easier reference by the agent.
* chore(deps): update twilight-ai to v0.3.2
* fix: lint, test
* refactor(agent): replace TypeScript agent gateway with in-process Go agent using twilight-ai SDK
- Remove apps/agent (Bun/Elysia gateway), packages/agent (@memoh/agent),
internal/bun runtime manager, and all embedded agent/bun assets
- Add internal/agent package powered by twilight-ai SDK for LLM calls,
tool execution, streaming, sential logic, tag extraction, and prompts
- Integrate ToolGatewayService in-process for both built-in and user MCP
tools, eliminating HTTP round-trips to the old gateway
- Update resolver to convert between sdk.Message and ModelMessage at the
boundary (resolver_messages.go), keeping agent package free of
persistence concerns
- Prepend user message before storeRound since SDK only returns output
messages (assistant + tool)
- Clean up all Docker configs, TOML configs, nginx proxy, Dockerfile.agent,
and Go config structs related to the removed agent gateway
- Update cmd/agent and cmd/memoh entry points with setter-based
ToolGateway injection to avoid FX dependency cycles
* fix(web): move form declaration before computed properties that reference it
The `form` reactive object was declared after computed properties like
`selectedMemoryProvider` and `isSelectedMemoryProviderPersisted` that
reference it, causing a TDZ ReferenceError during setup.
* fix: prevent UTF-8 character corruption in streaming text output
StreamTagExtractor.Push() used byte-level string slicing to hold back
buffer tails for tag detection, which could split multi-byte UTF-8
characters. After json.Marshal replaced invalid bytes with U+FFFD,
the corruption became permanent — causing garbled CJK characters (�)
in agent responses.
Add safeUTF8SplitIndex() to back up split points to valid character
boundaries. Also fix byte-level truncation in command/formatter.go
and command/fs.go to use rune-aware slicing.
* fix: add agent error logging and fix Gemini tool schema validation
- Log agent stream errors in both SSE and WebSocket paths with bot/model context
- Fix send tool `attachments` parameter: empty `items` schema rejected by
Google Gemini API (INVALID_ARGUMENT), now specifies `{"type": "string"}`
- Upgrade twilight-ai to d898f0b (includes raw body in API error messages)
* chore(ci): remove agent gateway from Docker build and release pipelines
Agent gateway has been replaced by in-process Go agent; remove the
obsolete Docker image matrix entry, Bun/UPX CI steps, and agent-binary
build logic from the release script.
* fix: preserve attachment filename, metadata, and container path through persistence
- Add `name` column to `bot_history_message_assets` (migration 0034) to
persist original filenames across page refreshes.
- Add `metadata` JSONB column (migration 0035) to store source_path,
source_url, and other context alongside each asset.
- Update SQL queries, sqlc-generated code, and all Go types (MessageAsset,
AssetRef, OutboundAssetRef, FileAttachment) to carry name and metadata
through the full lifecycle.
- Extract filenames from path/URL in AttachmentsResolver before clearing
raw paths; enrich streaming event metadata with name, source_path, and
source_url in both the WebSocket and channel inbound ingestion paths.
- Implement `LinkAssets` on message service and `LinkOutboundAssets` on
flow resolver so WebSocket-streamed bot attachments are persisted to the
correct assistant message after streaming completes.
- Frontend: update MessageAsset type with metadata field, pass metadata
through to attachment items, and reorder attachment-block.vue template
so container files (identified by metadata.source_path) open in the
sidebar file manager instead of triggering a download.
* refactor(agent): decouple built-in tools from MCP, load via ToolProvider interface
Migrate all 13 built-in tool providers from internal/mcp/providers/ to
internal/agent/tools/ using the twilight-ai sdk.Tool structure. The agent
now loads tools through a ToolProvider interface instead of the MCP
ToolGatewayService, which is simplified to only manage external federation
sources. This enables selective tool loading and removes the coupling
between business tools and the MCP protocol layer.
* refactor(flow): split monolithic resolver.go into focused modules
Break the 1959-line resolver.go into 12 files organized by concern:
- resolver.go: core orchestration (Resolver struct, resolve, Chat, prepareRunConfig)
- resolver_stream.go: streaming (StreamChat, StreamChatWS, tryStoreStream)
- resolver_trigger.go: schedule/heartbeat triggers
- resolver_attachments.go: attachment routing, inlining, encoding
- resolver_history.go: message loading, deduplication, token trimming
- resolver_store.go: persistence (storeRound, storeMessages, asset linking)
- resolver_memory.go: memory provider integration
- resolver_model_selection.go: model selection and candidate matching
- resolver_identity.go: display name and channel identity resolution
- resolver_settings.go: bot settings, loop detection, inbox
- user_header.go: YAML front-matter formatting
- resolver_util.go: shared utilities (sanitize, normalize, dedup, UUID)
* fix(agent): enable Anthropic extended thinking by passing ReasoningConfig to provider
Anthropic's thinking requires WithThinking() at provider creation time,
unlike OpenAI which uses per-request ReasoningEffort. The config was
never wired through, so Claude models could not trigger thinking.
* refactor(agent): extract prompts into embedded markdown templates
Move inline prompt strings from prompt.go into separate .md files under
internal/agent/prompts/, using {{key}} placeholders and a simple render
engine. Remove obsolete SystemPromptParams fields (Language,
MaxContextLoadTime, Channels, CurrentChannel) and their call-site usage.
* fix: lint
* fix(text): resolve emoji shown in telegram stream mode
* chore(text): removing "reasoing" types in plain msg.
* feat(conversation): add function to check for tool call content in assistant outputs
* feat(mcp): workspace container with bridge architecture
Migrate MCP containers to use UDS-based bridge communication instead of
TCP gRPC. Containers now mount runtime binaries and Unix domain sockets
from the host, eliminating the need for a dedicated MCP Docker image.
- Remove Dockerfile.mcp and entrypoint.sh in favor of standard base images
- Add toolkit Dockerfile for building MCP binary separately
- Containers use bind mounts for /opt/memoh (runtime) and /run/memoh (UDS)
- Update all config files with new runtime_path and socket_dir settings
- Support custom base images per bot (debian, alpine, ubuntu, etc.)
- Legacy container detection and TCP fallback for pre-bridge containers
- Frontend: add base image selector in container creation UI
* feat(container): SSE progress bar for container creation
Add real-time progress feedback during container image pull and creation
using Server-Sent Events, without breaking the existing synchronous JSON
API (content negotiation via Accept header).
Backend:
- Add PullProgress/LayerStatus types and OnProgress callback to
PullImageOptions (containerd service layer)
- DefaultService.PullImage polls ContentStore.ListStatuses every 500ms
when OnProgress is set; AppleService ignores it
- CreateContainer handler checks Accept: text/event-stream and switches
to SSE branch: pulling → pull_progress → creating → complete/error
Frontend:
- handleCreateContainer/handleRecreateContainer use fetch + SSE instead
of the SDK's synchronous postBotsByBotIdContainer
- Progress bar shows layer-level pull progress (offset/total) during
pulling phase and indeterminate animation during creating phase
- i18n keys added for pullingImage and creatingContainer (en/zh)
* fix(container): clear stale legacy route and type create SSE
* fix(ci): resolve lint errors and arm64 musl node.js download
- Fix unused-receiver lint: rename `s` to `_` on stub methods in
manager_legacy_test.go
- Fix sloglint: use slog.DiscardHandler instead of
slog.NewTextHandler(io.Discard, nil)
- Handle missing arm64 musl Node.js builds: unofficial-builds.nodejs.org
does not provide arm64 musl binaries, fall back to glibc build
* fix(lint): address errcheck, staticcheck, and gosec findings
- Discard os.Setenv/os.Remove return values explicitly with _
- Use omitted receiver name instead of _ (staticcheck ST1006)
- Tighten directory permissions from 0o755 to 0o750 (gosec G301)
* fix(lint): sanitize socket path to satisfy gosec G703
filepath.Clean the env-sourced socket path before os.Remove
to avoid path-traversal taint warning.
* fix(lint): use nolint directive for gosec G703 on socket path
filepath.Clean does not satisfy gosec's taint analysis. The socket
path comes from MCP_SOCKET_PATH env (operator-configured) or a
compiled-in default, not from end-user input.
* refactor: rename MCP container/bridge to workspace/bridge
Split internal/mcp/ to separate container lifecycle management from
Model Context Protocol connections, eliminating naming confusion:
- internal/mcp/ (container mgmt) → internal/workspace/
- internal/mcp/mcpclient/ → internal/workspace/bridge/
- internal/mcp/mcpcontainer/ → internal/workspace/bridgepb/
- cmd/mcp/ → cmd/bridge/
- config: MCPConfig → WorkspaceConfig, [mcp] → [workspace]
- container prefix: mcp-{id} → workspace-{id}
- labels: mcp.bot_id → memoh.bot_id, add memoh.workspace=v1
- socket: mcp.sock → bridge.sock, env BRIDGE_SOCKET_PATH
- runtime: /opt/memoh/runtime/mcp → /opt/memoh/runtime/bridge
- devenv: mcp-build.sh → bridge-build.sh
Legacy containers (mcp- prefix) detected by container name prefix
and handled via existing fallback path.
* fix(container): use memoh.workspace=v3 label value
* refactor(container): drop LegacyBotLabelKey, infer bot ID from container name
Legacy containers use mcp-{botID} naming, so bot ID can be derived
via TrimPrefix instead of looking up the mcp.bot_id label.
* fix(workspace): resolve containers via manager and drop gateway container ID
* docs: fix stale mcp references in AGENTS.md and DEPLOYMENT.md
* refactor(workspace): move container lifecycle ownership into manager
* dev: isolate local devenv from prod config
* toolkit: support musl node runtime
* containerd: fix fallback resolv.conf permissions
* web: preserve container create progress on completion
* web: add bot creation wait hint
* fix(workspace): preserve image selection across recreate
* feat(web): shorten default docker hub image refs
* fix(container): address code review findings
- Remove synchronous CreateContainer path (SSE-only now)
- Move flusher check before WriteHeader to avoid committed 200 on error
- Fix legacy container IP not cached via ensureContainerAndTask path
- Add atomic guard to prevent stale pull_progress after PullImage returns
- Defensive copy for tzEnv slice to avoid mutating shared backing array
- Restore network failure severity in restartContainer (return + Error)
- Extract duplicate progress bar into ContainerCreateProgress component
- Fix codesync comments to use repo-relative paths
- Add SaaS image validation note and kernel version comment on reaper
* refactor(devenv): extract toolkit install into shared script
Unify the Node.js + uv download logic into docker/toolkit/install.sh,
used by the production Dockerfile and runnable locally for dev.
Dev environment no longer bakes toolkit into the Docker image — it is
volume-mounted from .toolkit/ instead, so wrapper script changes take
effect immediately without rebuilding. The entrypoint checks for the
toolkit directory and prints a clear error if missing.
* fix(ci): address go ci failures
* chore(docker): remove unused containerd image
* refactor(config): rename workspace image key
* fix(workspace): fix legacy container data loss on migration and stop swallowing errors
Three root causes were identified and fixed:
1. Delete() used hardcoded "workspace-" prefix to look up legacy "mcp-"
containers, causing GetContainer to return NotFound. CleanupBotContainer
then silently skipped the error and deleted the DB record without ever
calling PreserveData. Fix: resolve the actual container ID via
ContainerID() (DB → label → scan) before operating.
2. Multiple restore error paths were silently swallowed (logged as Warn
but not returned), so the user saw HTTP 200/204 with no data and no
error. Fix: all errors in the preserve/restore chain now block the
workflow and propagate to the caller.
3. tarGzDir used cached DirEntry.Info() for tar header size, which on
overlayfs can differ from the actual file size, causing "archive/tar:
write too long". Fix: open the file first, Fstat the fd for a
race-free size, and use LimitReader as a safeguard.
Also adds a "restoring" SSE phase so the frontend shows a progress
indicator ("Restoring data, this may take a while...") during data
migration on container recreation.
* refactor(workspace): single-point container ID resolution
Replace the `containerID func(string) string` field with a single
`resolveContainerID(ctx, botID)` method that resolves the actual
container ID via DB → label → scan → fallback. All ~16 lookup
callsites across manager.go, dataio.go, versioning.go, and
manager_lifecycle.go now go through this single resolver, which
correctly handles both legacy "mcp-" and new "workspace-" containers.
Only `ensureBotWithImage` inlines `ContainerPrefix + botID` for
creating brand-new containers — every other path resolves dynamically.
* fix(web): show progress during data backup phase of container recreate
The recreate flow (delete with preserve_data + create with restore_data)
blocked on the DELETE call while backing up /data with no progress
indication. Add a 'preserving' phase to the progress component so
users see "正在备份数据..." instead of an unexplained hang.
* chore: remove [MYDEBUG] debug logging
Clean up all 112 temporary debug log statements added during the
legacy container migration investigation. Kept only meaningful
warn-level logs for non-fatal errors (network teardown, rename
failures).
- Add CLONED_FRESH flag to distinguish fresh install from update
- Copy docker-compose.yml/config.toml/.env to workspace and remove clone dir on fresh install
- Copy docker-compose.cn.yml when CN mirror is enabled
- Fix MEMOH_DATA_DIR variable reference in .env
* feat(access): add guest chat ACL and simplify bot access
Unify bot chat permissions around owner and guest ACL so public access, whitelist, and blacklist share a single model. Remove unused sharing paths, add searchable platform identity controls, and normalize Feishu identities to stable open_id records.
* fix(web): format access control panel
Include the post-commit formatting changes applied to the access control UI so the branch stays clean and the PR reflects the final rendered layout.
* fix(migrations): drop legacy bot tables before bots
Ensure the init down migration removes bot_members and bot_preauth_keys before dropping bots so full rollback succeeds after the ACL refactor.
* feat(acl): add source-aware chat trigger rules
Support channel-, conversation-, and thread-scoped ACL rules while keeping allow_guest, whitelist, and blacklist compatible. Also expose observed conversation candidates and normalize channel identity rules to their own platform.
* fix(lint): resolve golangci-lint errors after rebase
- Remove unused receivers and parameters in fakeRows/Service methods
- Delete unused makeNoRow helper and toParticipantFields function
- Fix gci/gofumpt formatting
* fix(lint): fix gci import formatting in acl types and handler
* fix(acl): tighten observed group and thread selection (#245)
Use inbox plus persisted messages to discover observed group and thread routes, and lock scope fields after selecting a concrete observed target. This keeps Telegram group candidates visible and prevents contradictory private/group scope edits.
* chore: regenerate sqlc swagger and sdk after rebase onto main
* fix(inbound): use bot owner token for agent gateway callbacks
The inbound channel processor issued a JWT for the chatting user's
identity. When the agent called back into container/MCP endpoints
(e.g. /bots/{id}/tools, /bots/{id}/mcp-stdio), AuthorizeBotAccess
rejected non-owner users with HTTP 403 "bot access denied".
Resolve the bot owner via PolicyService and issue the downstream
token under the owner's identity, consistent with schedule,
heartbeat, and email gateways. The chatting user's identity is
still tracked via SourceChannelIdentityID and identity headers.
* refactor(browser): split browser cores via build ARG, add core selector
- Replace playwright official image with ubuntu:noble base in both
docker/Dockerfile.browser and devenv/Dockerfile.browser; install
browsers at build time driven by ARG/ENV BROWSER_CORES
- Add GET /cores endpoint to Browser Gateway reporting available cores
- Proxy GET /browser-contexts/cores in Go handler to Browser Gateway
- Add `core` field to BrowserContextConfigModel and GatewayBrowserContext;
context creation selects the appropriate browser instance by core
- Frontend context-setting page fetches available cores and renders a
core selector; saves core as part of the config JSON
- install.sh prompts for browser core selection and writes BROWSER_CORES
to .env; builds the browser image locally before docker compose up
- Regenerate OpenAPI spec and TypeScript SDK
* fix: lint
- In group chats, only process slash commands when the message is
directed at this bot (via @mention or reply-to-bot), preventing
all bots from responding to the same command.
- Use raw_text metadata (before quote/forward context prepending)
for command detection so quoted content like "/fs" doesn't
accidentally match a command.
- Fix isTelegramBotMentioned text_mention entity check to verify
the mentioned bot matches the current bot, not just any bot.
User messages from channel inbound (Telegram, Discord, Feishu, etc.)
were previously persisted before the agent runs. Now they are written
together with assistant/tool messages at the end of a conversation turn
(or on abort), matching the behavior of WebSocket and sync chat paths.
* feat(terminal): add interactive web terminal for bot containers
Add WebSocket-based terminal endpoint (/container/terminal/ws) that
provides a full PTY shell session inside the bot's MCP container.
Extend the gRPC proto with pty and resize fields, implement PTY exec
on the container side using creack/pty, and add an xterm.js-based
terminal component in the frontend bot detail page.
* chore: add /mcp in .gitignore
* feat(terminal): add multi-tab support, localStorage cache, and reactivity fixes
- Support unlimited terminal tabs with add/close/switch
- Cache terminal content to localStorage via SerializeAddon for session persistence
- Use shallowReactive for tab objects to ensure status updates trigger UI reactivity
- Fix listener leak by tracking and disposing onData/onResize on reconnect
- Fix bottom clipping by using inset offsets instead of padding
Remove the manifest.json dependency for memory file tracking. Instead,
build an index by scanning daily memory files on demand. This eliminates
a class of bugs where the manifest could drift out of sync with actual
files, and simplifies the code by removing Manifest/ManifestEntry types
and all read/write/path helpers.
Made-with: Cursor
When a container is deleted but its snapshot survives (dev image rebuild,
containerd metadata loss, manual ctr deletion), the reconciliation path
previously created a fresh container and unconditionally destroyed the
old snapshot via prepareSnapshot, causing complete data loss.
Manager.Start now detects orphaned snapshots before EnsureBot runs,
exports /data to a backup archive, and restores it into the new
container's snapshot before the task starts.
Wire SetCommandHandler into ChannelInboundProcessor so slash commands
are intercepted before reaching the LLM. Also apply lint fixes across
command package (strconv.Itoa, comment formatting, unused code removal)
and remove obsolete tool-call-browser.vue component.
Acbox