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Add a per-model/key reasoning effort setting to agent definitions,
surfaced and editable in the Agent Settings page and displayed at a
glance in the model selector views.
- core: single source of truth for effort levels (REASONING_EFFORTS,
DEFAULT_REASONING_EFFORT='high', labels, isReasoningEffort guard);
add 'xhigh' level; AgentModelEntry.effort; xhigh budget=24000 for
classic-thinking Claude; default floor 'high'. Persist/parse effort
in the agent TOML loader.
- api: thread effort through the fallback chain with per-model -> per-tab
-> default precedence; validate /chat + agentModels effort from the
canonical list.
- frontend: effort <select> per model row in AgentBuilder; effort badges
in ModelSelector (agent + subagent chains); Thinking dropdown sourced
from canonical list; per-tab default raised to 'high'.
- tests: +15 (loader round-trip, agent xhigh budget, canonical list +
guard, api precedence, route validation).
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A message queued while the agent was mid-turn was only handled if it
arrived DURING a tool batch (injected as a [USER INTERRUPT]). If it
landed after the last tool call — or the turn had no tools — the agent
silently appended it to history and ended the turn with no response, so
it sat there unanswered. This affected both user-queued messages and
agent-queued ones (send_to_tab).
- agent.ts: stop the end-of-turn drain that swallowed trailing queued
messages into history. They now stay on the queue.
- agent-manager: after a CLEAN turn settles, continueFromQueue() drains
the queue and starts a fresh turn to answer it. Skipped on a
user-stopped or errored turn (queue preserved for the next send).
- Loop safety: continuation draws from the existing autoWakeBudget, so a
runaway agent<->agent chain is bounded; human sends refill it, so human
conversations are never throttled.
- dequeueMessages now tags message-consumed with reason
"interrupt" | "continuation"; the frontend collapses continuation-
consumed queued bubbles into the next turn's initiator row (avoids the
linger/dup traps documented in queue-interrupt-reconcile-edge-cases.md).
- Tests: agent (no-swallow + interrupt regression), agent-manager
(continuation, no-op when empty, user-stop preserves queue, bounded
loop), frontend (continuation bubble becomes next initiator).
- wishlist: remove the now-fixed item.
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The debug-logger.ts module existed but was completely orphaned — none of
its functions had any callsites, so DISPATCH_DEBUG_LLM=1 did nothing.
Wires it in across the stack:
- llm/debug-logger.ts: add wrapFetchWithLogging() that tees SSE bodies via
TransformStream + response.clone() so we capture every chunk without
draining the body the AI SDK consumes. Redacts authorization / x-api-key
/ cookie headers in logs. Also exports nextDebugSeq() so requests and
log files share an id.
- llm/provider.ts: all 3 factories (Claude OAuth, plain-API-key Anthropic,
OpenAI-compatible) now pass fetch: wrapFetchWithLogging(globalThis.fetch).
For Claude OAuth the wrap goes on the inner base fetch so logged bodies
reflect the post-transform shape + Claude-Code session headers. Added
tabId to ProviderConfig for log labelling.
- agent/agent.ts: threads tabId through createProvider and emits
logAgentLoop / logStepLifecycle / logStreamEvent at every meaningful
point in the run loop — step start/end, tool count, every fullStream
event. All are no-ops when DISPATCH_DEBUG_LLM is unset.
- core/index.ts: re-exports the debug helpers.
- tests/llm/provider.test.ts: switch one full-object equality assertion
to property assertions so the test survives the new fetch: wrapper.
Plumbing the env var into the container required three more fixes:
- bin/up: re-export DISPATCH_DEBUG_LLM* so docker compose forwards them
(compose only forwards vars referenced in the environment: block).
Also pre-creates /tmp/dispatch/llm-debug and chowns it on first run so
the container's UID-1000 bun process can write into it without EACCES.
- docker-compose.yml: declare the debug vars on api.environment and
bind-mount /tmp/dispatch/llm-debug:/tmp/dispatch/llm-debug so logs are
inspectable from the host without docker exec.
- docker/entrypoint.dev.sh: explicitly forward DISPATCH_DEBUG_* through
the 'su -' login-shell barrier — su - resets the environment to TERM/
PATH/HOME/SHELL/USER/LOGNAME only, silently stripping everything else.
This is why the vars appeared via 'docker exec env' (which spawns a
new process inheriting the container env) but were absent from the
actual bun process's /proc/<pid>/environ.
bin/build: drop stray sudo for consistency with bin/up and bin/down.
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Extended thinking was gated on a hardcoded `model === "claude-opus-4-7"` check,
so newer/other adaptive models (Opus 4.8, Opus/Sonnet 4.6) fell into the classic
`thinking: { type: "enabled" }` branch. Adaptive models default thinking display
to "omitted", so no thinking was streamed — the UI showed nothing for Claude while
DeepSeek (a separate openai-compatible path) worked.
Replace the string check with a pure helper `anthropicThinkingProviderOptions`
that mirrors opencode's transform.ts detection:
- adaptive (`type: "adaptive"`) for Opus 4.7+ (version-parsed) and Opus/Sonnet
4.6 (id substring; handles dash and dot forms);
- `display: "summarized"` ONLY for Opus 4.7+ (they default to omitted and must
be forced); Opus/Sonnet 4.6 stream thinking without it;
- all other Claude models keep classic `enabled` + budgetTokens.
Pure function (no provider/streamText/network), unit-tested directly: Opus 4.8
(the reported bug), Opus 4.7, Sonnet/Opus 4.6, Opus 4.5 + dated Sonnet (enabled),
a future Opus 4.9 (proves version-parse), and effort->budget mapping.
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Replace the message-as-container model with a flat, append-only chunk log.
- chunks table (id, tab_id, seq, turn_id, step, role, type, data_json): one
row per chunk; tool_call (assistant) and tool_result (tool) are SEPARATE
rows linked by callId. Message/turn are derived groupings, not stored.
- chunks/transform.ts: DB-free explode (Chunk[] -> rows) / group (rows ->
messages), shared by backend and the browser frontend.
- Cache fix: toModelMessages segments each turn at tool-batch boundaries into
stable [assistant, tool] pairs per step, so earlier steps serialize
byte-identically across requests (kills the prompt-cache churn).
- agent-manager persists a turn's chunks on seal (once), discarding a failed
fallback attempt's partial chunks; rebuilds agent history from the log.
- GET /messages windows the log by chunk seq then groups; loadMoreMessages
merges a turn split across the window boundary by turnId.
- One-shot migration drops the legacy messages table and clears tabs;
settings/credentials/keys/usage preserved.
Full suite green (317 tests); biome, tsc, and svelte-check clean.
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- send prompt-caching + oauth anthropic-beta headers on the Claude OAuth provider
- restructure the OAuth request body (billing header, identity split, relocate
third-party system prompt to the first user message) to match Claude Code
- apply rolling cache_control breakpoints and group a turn's tool results into a
single role:tool message for correct breakpoint placement
- emit per-step usage events (cache read/write split) and add the Cache Rate
sidebar panel
- dedup byte-identical tool calls within a single batch
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- Add POST /chat/stop endpoint on API
- Thread abortSignal from agent-manager through Agent.run() to streamText
- Thread abortSignal option through the Agent.run() signature
- Emit status:idle on stopTab() so frontend WS gets the update
- Add stopGeneration() store method on frontend tabStore
- Add stop button in ChatInput (btn-sm lg:btn-xs for mobile tap target)
- Add tests for /chat/stop endpoint
- Refactor processMessage to pass abortSignal to agent.run
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synthetic invalid tool
- Removed __invalid__ tool definition, experimental_repairToolCall, and
v4-era NoSuchToolError catch block — AI SDK v6 already emits a native
tool-error stream event with the original tool name
- Added synthesizeResidualToolResults() helper to fill orphaned tool-call
IDs with isError: true results for abort/error terminal paths
- tool-error handler now break's instead of return's — lets sibling tools
execute normally via the manual executor loop
- Added final safety net after execution loop to catch any genuinely
orphaned tool-call IDs before round-tripping to the LLM
- Propagated isError through toModelMessages so error results are properly
flagged in conversation history
- Updated tests: tool-error event now continues to idle (not error), added
sibling-orphan prevention test
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feat(summon): agent definition support; docs: cc/ research findings
- registry.ts: add normalizeForAnthropic() to strip , additionalProperties, default, nullable from zodToJsonSchema output so Anthropic doesn't silently reject tool definitions
- agent.ts: add toolChoice=auto for Claude OAuth to prevent Opus thinking forever without calling tools
- summon.ts: add agentSlug parameter, build agents catalog in description, add toAvailableAgents helper
- agent-manager.ts: wire agent definition loading into spawnChildAgent, agent model fallback
- loader.ts: export loadAgent, expandAgentToolNames, getAgentDirPaths; add getAgentDirPaths for permission gate
- agent.ts: auto-allow read-only tools in agent definition directories
- packaging/PKGBUILD: exclude ARM64 prebuilds from x86_64 package
- cc/: research findings on Claude Opus tool calling issues
- tests: loader tests, summon tool tests
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tool of batch
The interrupt block embedded in a tool-result was persistent in the
assistant message history, so the imperative 'You MUST address these
before continuing' got re-evaluated as fresh on every subsequent LLM
step. Result: the model repeatedly thought about and re-acknowledged
the same interrupt 5-10+ times per chat (verified in production DB
traces — e.g. tab 4c5727aa had 11 thinking chunks quoting a single
interrupt verbatim).
agent.ts (toModelMessages): strip [USER INTERRUPT] from every tool-
result except the one in the freshest tool-batch (last chunk of the
last assistant message, which itself must be the last message). The
strip is a serialization-time transform only — this.messages, the DB
row, and the UI display all keep the full text. The LLM sees the
imperative exactly once: the step immediately after injection.
agent.ts (tool execution loop): batch queued messages across the
group's tool calls and inject them only into the LAST executable tool's
result. Previously the first tool to dequeue won; now the interrupt
lands in a single deterministic spot regardless of timing. Tool-level
handlers (run-shell/youtube/retrieve) are untouched — they still embed
their own interrupt text when they background work.
Also fix pre-existing tabs.test.ts: it referenced a getDescendantIds
function that didn't exist (added: BFS, leaf-first, cycle-safe, skips
archived) and imported bun:sqlite directly which vite couldn't resolve
(rewrote with a minimal FakeDatabase + vi.mock pattern matching the
rest of the suite).
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reasoning round-trip + max-thinking budget audit
Migrates the LLM stack from [email protected] + @ai-sdk/[email protected] +
@ai-sdk/[email protected] to [email protected] + @ai-sdk/[email protected]
+ @ai-sdk/[email protected]. Full design in plan-v6-upgrade.md;
two rounds of Gemini code review captured in report.md.
Motivation: the recurring 'reasoning-signature without reasoning' error
on Claude Opus 4.7 was a v4 SDK artefact — @ai-sdk/[email protected] emitted
Anthropic signature_delta as a separate stream chunk that orphaned when
the model produced a signed-but-empty thinking block, and our chunk
store had no signature field so the round-trip back to Anthropic was
rejected on the next turn. In v6, signatures arrive inside
providerMetadata on the reasoning-end event, and the orphan-signature
class of bug is gone at the SDK level.
Core changes:
• ThinkingChunk gains optional metadata?: Record<string, unknown>
(the v6 providerMetadata blob). A non-undefined metadata 'seals'
the chunk: subsequent reasoning-delta opens a new chunk rather
than extending the sealed one.
• AgentEvent gains { type: 'reasoning-end'; metadata? } (replaces
the v4 reasoning-signature variant).
• toModelMessages (replaces toCoreMessages):
- returns ModelMessage[] (was CoreMessage[])
- thinking → { type: 'reasoning', text, providerOptions: metadata }
- tool-batch entries → { type: 'tool-call', input } (was 'args')
- tool results → { output: { type: 'text', value } } ToolResultOutput
• Claude OAuth uses createAnthropic({ authToken }) natively — no more
custom-fetch x-api-key → Bearer swap.
• rewriteBodyForOpus47 deleted — Opus 4.7 adaptive thinking is native
via providerOptions.anthropic.thinking = { type: 'adaptive' }.
• V1 middleware → V3 (specificationVersion: 'v3').
• v4-era normalizeMessages openai-compatible middleware deleted; the
v6 openai-compatible provider extracts reasoning_content natively
from { type: 'reasoning' } content parts.
• applyAnthropicStructuralNormalisations (mirrors opencode
provider/transform.ts:53-148): drops empty text/reasoning parts,
scrubs non-[a-zA-Z0-9_-] toolCallIds, splits [tool-call, non-tool]
assistant turns (Anthropic rejects tool_use followed by text).
• applyOpenAICompatibleReasoningNormalisation (mirrors opencode
transform.ts:217-249): lifts reasoning text into
providerOptions.openaiCompatible.reasoning_content (always, even
empty). Solves DeepSeek 'The reasoning_content in the thinking
mode must be passed back' — the v6 SDK skips emitting
reasoning_content when text is empty (dist/index.mjs:245), but
DeepSeek requires the field present once thinking was used.
• Tools: tool({ inputSchema: jsonSchema(zodToJsonSchema(...)) })
(was parameters: ZodSchema). AI SDK tools have no execute
callback — the agent runs tools manually for permission prompts
and shell-output streaming. New dep: zod-to-json-schema@^3.25.2.
• fullStream event loop rewritten for v6 event shape: text-delta
(text not textDelta), reasoning-start/delta/end, tool-input-*,
tool-call (input not args), tool-result, tool-error (new), abort
(new), start-step/finish-step, finish.
Max-thinking audit (matches opencode transform.ts:642-671 budgets):
• Claude enabled-thinking max budget 16000 → 31999 (Anthropic ceiling)
• Claude enabled-thinking high budget 10000 → 16000
• maxOutputTokens 'budget + 8000' → fixed 32000 (matches opencode's
OUTPUT_TOKEN_MAX; model self-allocates thinking vs response within)
• Opus 4.7 adaptive thinking gains display: 'summarized' and sibling
effort field (without these, thinking content is hidden by Anthropic
and the model barely thinks).
Frontend mirrors:
• types.ts — ThinkingChunk.metadata?, AgentEvent reasoning-end
• tabs.svelte.ts — routes reasoning-end through applyChunkEvent
• ChatMessage.svelte — hides empty thinking chunks; hides the entire
assistant bubble when no chunk has renderable content
Gemini-review-driven fixes:
• tool-error and abort stream events now surface as error chunks
(were silently ignored)
• toolCallId scrubbing pass (opencode transform.ts:96-122 parity)
• Empty-reasoning-cull explicit test coverage for both Anthropic
structural normalisation and DeepSeek path
Test counts (223 tests across 3 packages, all green):
• tests/chunks/append.test.ts: 44 (was 38) — reasoning-end sealing,
orphan walk-back, multi-block interleaving
• tests/agent/agent.test.ts: 24 (was 5) — exhaustive v6 event
mappings, structural normalisations, signature/reasoning_content
round-trip, tool-error/abort branches, DeepSeek scenario, empty
reasoning edge case
• tests/llm/provider.test.ts: 9 (was 22) — dropped 13 obsolete v4
middleware tests; new minimal tests confirm no middleware wrapping
on default openai-compat path and that createAnthropic gets
authToken vs apiKey correctly for OAuth vs api-key flows
• tests/tools/registry.test.ts: 10 (was 4) — v6 tool() contract
(inputSchema, no execute, JSON Schema for nested zod)
• packages/api/tests/agent-manager.test.ts: 12 (was 7) — mock Agent
emits v6 reasoning events; reasoning-end broadcast + ordering
• packages/frontend/tests/chat-store.test.ts: 35 (was 32) —
reasoning-end flow through Svelte $state store
typecheck clean (tsc --noEmit on core + api, svelte-check on frontend),
biome clean across 124 files.
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batching, error/system chunks
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symlink-safe path resolution
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SDK compat
- Implement Anthropic prompt caching: first system message + last 2 non-system messages get cache_control: ephemeral, mirroring OpenCode's applyCaching strategy. Move system prompt inline into messages array so providerOptions can attach.
- Add opencode-anthropic provider variant routing MiniMax/Qwen models through the /messages endpoint with x-api-key auth, distinct from the Claude OAuth flow's Bearer auth and Claude Code mimicry.
- Split isAnthropic into isClaudeOAuth (billing header, mcp_ tool prefix, thinking config) and usesAnthropicSDK (cache markers) so non-OAuth Anthropic-format gateways get the right treatment.
- Pin @ai-sdk/anthropic to ^1.2.12: v3 returns LanguageModelV3-spec models that ai v4's streamText rejects at runtime ('AI SDK 4 only supports models that implement specification version v1'). Drop unnecessary V1 casts.
- Restore Opus 4.7 extended thinking by rewriting the outgoing /messages body in the Claude OAuth fetch interceptor: inject thinking: { type: 'adaptive' } (v1 SDK can't emit it), strip temperature/top_p/top_k (Anthropic rejects them with thinking enabled). Gated on max_tokens > 4096 so effort=none still works.
- Bump MAX_STEPS from 10 to 50 to align with AI SDK's stepCountIs(20) default and reduce mid-task halts.
- Fix pre-existing typecheck errors in agent-manager.ts (entry/nextEntry narrowing), app.ts (agentModels body field), KeyUsage.svelte (m guards), and a TS2742 in provider.ts via explicit ModelFactory return type.
- buildFallbackSequence now always returns at least one entry so processMessage runs the agent loop even without keyId/modelId (fixes 4 broken agent-manager tests).
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filter
- Added Google (Gemini) as a provider: add-key UI, env var resolution via resolveApiKey, usage tracking via native models endpoint + gemini.google.com cookie scraping
- @ai-sdk/anthropic upgraded to v3 (adaptive thinking support) with LanguageModelV1 cast for ai v4 compat
- Claude Opus 4.7 uses adaptive thinking (type: adaptive); all other models keep explicit budget tokens
- Model selector modal: search filter with space matching dash/underscore
- Copy button: all tool results truncated at 300 chars
- Sidebar layout fix: Claude Reset panel removed from flex-1 fill to prevent overlap
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copy truncation
- Agent rate-limit fallback now iterates through agent's configured models[] in strict order
- Frontend sends agentModels with each /chat request; backend uses buildFallbackSequence()
- Emits notice event on fallback so chat shows which key failed and what's being tried next
- Child agents inherit parent's agentModels for fallback
- Added statusCode propagation from AI SDK errors for programmatic 429 detection
- Copy button truncates all tool results at 300 chars (was 200 for 4 specific tools)
- run_shell, summon, youtube_transcribe: background mode support
- summon: blocking mode by default with getResult callback
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- Add is_subagent checkbox to agent editor; subagents are hidden from Chat Settings
- Add is_subagent field to AgentDefinition type, TOML serialization, and API route
- Filter subagents from ModelSelector agent list
- Fix all biome lint/format errors across codebase (useLiteralKeys, noNonNullAssertion, noExplicitAny, formatting, import sorting)
- Fix svelte-check errors (type narrowing in SkillsBrowser, ToolPermissions, SidebarPanel)
- Fix a11y warnings in App.svelte (label-control associations)
- Fix test mocks missing BackgroundShellStore, BackgroundTranscriptStore, createWebSearchTool, createYoutubeTranscribeTool
- Update stale 409 test to match current message-queuing behavior
- Exclude packaging/ and release/ dirs from biome to avoid linting stale build artifacts
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fixes
- Add web_search tool (Firecrawl POST to /v1/search with query, limit, lang, country, scrapeOptions)
- Add youtube_transcribe tool (GET to transcriber service, handles completed/queued/failed statuses)
- Both tools registered for parent agents (always) and child agents (permission-gated)
- Added to summon enum, TOOL_DESCRIPTIONS, and core exports
- Shell interrupt: run_shell now races against user queue interrupt
- When interrupted, command continues in background with run_shell_<uuid> job ID
- BackgroundShellStore holds running processes, auto-cleans 10min after completion
- retrieve tool extended to handle both agent IDs and shell job IDs
- Tool error detection: results starting with 'Error:' now marked isError in UI
- Fix TS error: cast unavailMatch[1] regex capture group to string
- Docker: network_mode host for Tailscale/LAN access to external services
- Bun.serve idleTimeout set to 60s (was default 10s)
- KeyUsage: clearer message when OpenCode usage data unavailable
- Firecrawl: only send scrapeOptions when scrape=true (avoid 400 on instances without scrape support)
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- Add message queue allowing users to send messages while agent is running
- Queue messages are injected into tool results as [USER INTERRUPT]
- Retrieve tool interrupted via Promise.race when user message arrives
- Queued messages show with 'queued' badge and cancel button
- Consumed messages repositioned and chat splits at interrupt point
- New assistant message block created after interrupt for clean flow
- Add POST /chat/cancel endpoint for cancelling queued messages
- Fix CORS to allow any origin (Tailscale/LAN access)
- Fix crypto.randomUUID fallback for non-secure contexts (HTTP)
- Fix frontend API URL derivation from page hostname
- Auto-create DB tab if missing on processMessage (foreign key fix)
- Add error logging to processMessage catch block
- Fix working directory input sync on agent switch
- Fix agent mode button to re-apply agent settings
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handling
- Agent Builder: full CRUD with card grid, drag-and-drop model reorder, edit/delete
- Auto-save on edit with 600ms debounce, AbortController for concurrency, fieldset disabled until name entered
- Agent definitions stored as TOML with cwd field, loaded from global/project dirs
- Working directory: per-tab CWD override in Chat Settings, agent default CWD, auto-create on first message
- CWD validation: check-dir endpoint with ~ expansion, real-time validity indicator
- Subagent CWD validated against parent's effective CWD using path.relative
- Unavailable tool calls: caught gracefully, shown as tool call with error badge, model retries
- UI: tab bar border radius, sidebar border removed, chat input ghost style, scroll-to-bottom rectangle
- Skills dir collapse uses CSS rotation, Model Choice renamed to Chat Settings, System Prompt view removed
- Reusable SkillsBrowser/ToolPermissions with external mode for Agent Builder
- ModelSelector: Agent/Manual toggle, agent list, Agent Settings link
- Page router, skills recursive scanning, bin/up gopass removed, docker volume mounts
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effort, and dynamic model listing
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Permission engine:
- Rule-based engine: wildcard matching, last-match-wins, reject cascade
- PermissionService with pending/approved state, PermissionChecker interface
- dispatch.yaml config loader with per-permission pattern rules
Shell tool:
- run_shell tool with child_process spawn, timeout, streaming output
- Tree-sitter static analysis (web-tree-sitter + tree-sitter-bash WASM)
- BashArity command normalization for 'always allow' patterns
- FILE_COMMANDS set: rm, cp, mv, mkdir, ls, find, grep, cat, etc.
Agent loop refactored:
- Removed maxSteps, manual step loop with tool execution
- Permission checks on shell commands (external_directory only)
- Permission checks on file tools outside workspace boundary
- Symlink bypass fix (realpathSync), .. false positive fix
- Shell output streaming via Promise.race + setImmediate polling
API layer:
- PermissionManager wraps PermissionService, broadcasts via WebSocket
- WebSocket handles permission-reply messages from frontend
- Config loaded from dispatch.yaml, converted to ruleset
Frontend:
- Permission prompt modal (native dialog, focus trap, ARIA)
- Always-allow confirmation flow with pattern preview
- Shell output display (live streaming + final parsed result)
- Permission log panel (fixed bottom-right overlay)
- Exit code badge (green 0, red non-zero)
134 tests, typecheck clean on all 3 packages
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- Tool calls now appear at their stream position within messages (ContentSegment model)
- Added reasoning/thinking display: collapsible <details> block above content
- Set DeepSeek V4 Flash reasoningEffort to max via providerOptions
- ChatMessage.content changed from string to ContentSegment[] (text | tool-call)
- Agent handles AI SDK reasoning events, yields reasoning-delta
- Fixed duplicate key in ChatMessage.svelte each block
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- Core: toCoreMessages now includes tool calls and tool results in history
- Core: isError read from step tool results instead of hardcoded false
- API: status set synchronously before async generator to prevent race
- Frontend: DaisyUI collapse-open class applied dynamically on expanded state
- Frontend: removed duplicate isConnected update in wsClient.onEvent
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- Bun monorepo with @dispatch/core, @dispatch/api, @dispatch/frontend
- Agent runtime with Vercel AI SDK, streaming via WebSocket
- Tools: read_file, write_file, list_files (scoped to working directory)
- Hono API server with POST /chat, GET /status, GET /health, WS /ws
- Svelte 5 + DaisyUI frontend with chat UI, theme switcher, copy button
- OpenCode Go (Zen) as LLM provider, deepseek-v4-flash-free model
- Docker setup (dev + prod) with bin/ scripts and gopass secrets
- Biome v2 linting/formatting, Vitest tests (44 passing)
- Debug info attached to error messages for diagnostics
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