- add defensive nil check for tool call Arguments field
- replace nil input with empty object to comply with Anthropic spec
- prevent API errors when GLM models return null input in tool_use blocks
Zhipu AI's GLM series models may return tool_use blocks with null input field,
which causes their API to reject subsequent requests with error:
"ClaudeContentBlockToolResult object has no attribute id"
This fix ensures compatibility by converting nil inputs to empty objects {},
matching the Anthropic Messages API specification while maintaining backward
compatibility with other providers.
When the entire session history is a single Turn (e.g. one user message
followed by a massive tool response), findSafeBoundary returns 0 and
forceCompression previously did nothing — leaving the agent stuck in
a context-exceeded retry loop.
Now falls back to keeping only the most recent user message when no
safe Turn boundary exists. This breaks Turn atomicity as a last resort
but guarantees the agent can recover.
Also updates docs/agent-refactor/context.md to document this behavior.
Ref #1490
- add tools.cron.allow_command config with a default value of true
- require command_confirm only when cron command execution is disabled
- expose cron command permission and timeout settings in the config UI
- add backend tests and update i18n strings
- Fix synchronous SubTurn calls placing results in pendingResults channel,
causing double delivery. Now only async calls (Async=true) use the channel.
- Move deliverSubTurnResult into defer to ensure result delivery even when
runTurn panics. Add TestSpawnSubTurn_PanicRecovery to verify.
- Fix ContextWindow incorrectly set to MaxTokens; now inherits from
parentAgent.ContextWindow.
- Add TestSpawnSubTurn_ResultDeliverySync to verify sync behavior.
Critical fixes (5):
- Fix turnState hierarchy corruption in nested SubTurns by checking context
before creating new root turnState in runAgentLoop
- Fix deadlock risk in deliverSubTurnResult by separating lock and channel ops
- Fix session rollback race in HardAbort by calling Finish() before rollback
- Fix resource leak by closing pendingResults channel in Finish() with recovery
- Add thread-safety docs for childTurnIDs and isFinished fields
Medium priority fixes (5):
- Move globalTurnCounter to AgentLoop.subTurnCounter to prevent ID conflicts
- Improve semaphore acquisition to ensure release even on early validation failures
- Document design choice: ephemeral sessions start empty for complete isolation
- Add final poll before Finish() to capture late-arriving SubTurn results
- Remove duplicate channel registration in spawnSubTurn to fix timing issues
Testing:
- Add 6 new tests covering hierarchy, deadlock, ordering, channel lifecycle,
final poll, and semaphore behavior
- All 12 SubTurn tests passing with race detector
This resolves 10 critical and medium issues (5 race conditions, 2 resource leaks,
3 timing issues) identified in code review, bringing SubTurn to production-ready state.
- Fix turnState hierarchy corruption when SubTurns recursively call runAgentLoop
by checking context for existing turnState before creating new root
- Fix deadlock risk in deliverSubTurnResult by separating lock and channel operations
- Fix session rollback race in HardAbort by calling Finish() before rollback
- Fix resource leak by closing pendingResults channel in Finish() with panic recovery
- Add thread-safety documentation for childTurnIDs and isFinished fields
- Move globalTurnCounter to AgentLoop.subTurnCounter to prevent ID conflicts
- Improve semaphore acquisition to ensure release even on early validation failures
- Document design choice: ephemeral sessions start empty for complete isolation
- Add 5 new tests: hierarchy, deadlock, order, channel close, and semaphore
- Add initialHistoryLength field to turnState to snapshot session state at turn start
- Save initial history length in runAgentLoop when creating root turnState
- Implement session rollback in HardAbort via SetHistory, truncating to initial length
- Add TestHardAbortSessionRollback to verify history rollback after abort
- Import providers package in subturn_test.go for Message type
This ensures that when a user triggers hard abort, all messages added during
the aborted turn are discarded, restoring the session to its pre-turn state.
- Add maxConcurrentSubTurns constant (5) and concurrencySem channel to turnState
- Acquire/release semaphore in spawnSubTurn to limit concurrent child turns per parent
- Add activeTurnStates sync.Map to AgentLoop for tracking root turn states by session
- Implement HardAbort(sessionKey) method to trigger cascading cancellation via turnState.Finish()
- Register/unregister root turnState in runAgentLoop for hard abort lookup
- Add TestSubTurnConcurrencySemaphore to verify semaphore capacity enforcement
- Add TestHardAbortCascading to verify context cancellation propagates to child turns
- Add subTurnResults sync.Map to AgentLoop for per-session channel tracking
- Add register/unregister/dequeue methods in steering.go
- Poll SubTurn results in runLLMIteration at loop start and after each tool,
injecting results as [SubTurn Result] messages into parent conversation
- Initialize root turnState in runAgentLoop, propagate via context
(withTurnState/turnStateFromContext), call rootTS.Finish() on completion
- Wire Spawn Tool to spawnSubTurn via SetSpawner in registerSharedTools,
recovering parentTS from context for proper turn hierarchy
- Refactor subagent.go to use SetSpawner pattern
- Add TestSubTurnResultChannelRegistration and TestDequeuePendingSubTurnResults
- move chat controller, state, protocol, history, and websocket logic into a dedicated chat feature module
- improve chat reconnection, session hydration, and send gating based on actual websocket state
- preserve gateway status during transient SSE disconnects and update stop state immediately
- generate wss websocket URLs behind HTTPS proxies and add backend tests for forwarded proto handling
Document the semantic boundaries of context management as called for
in the agent-refactor README (suggested document split, item 5):
- context window region definitions and history budget formula
- ContextWindow vs MaxTokens distinction
- session history contents (no system prompt stored)
- Turn as the atomic compression unit (#1316)
- three compression paths and their ordering
- token estimation approach and its limitations
- interface boundaries between budget functions and BuildMessages
Also documents known gaps: summarization trigger not using the full
budget formula, heuristic-only token estimation, and reactive retry
not preserving media references.
Ref #1439
Session history only stores user/assistant/tool messages — the system
prompt is built dynamically by BuildMessages. Remove the incorrect
system message from TestAgentLoop_ContextExhaustionRetry test data
to match the real data model that forceCompression operates on.
When the entire history is a single Turn (one user message followed by
tool calls and responses, no subsequent user message), the only Turn
boundary is at index 0. Previously the fallback returned targetIndex,
which could land on a tool or assistant message — splitting the Turn.
Return 0 instead, so callers (forceCompression, summarizeSession) see
mid <= 0 and skip compression rather than cutting inside the Turn.
Two estimation bugs fixed:
1. Media tokens were added to the chars accumulator before the chars*2/5
conversion, resulting in 256*2/5=102 tokens per item instead of 256.
Fix: add media tokens directly to the final token count, bypassing
the character-based heuristic.
2. estimateMessageTokens counted both tc.Name and tc.Function.Name for
tool calls, but providers only send one (OpenAI-compat uses
function.name, Anthropic uses tc.Name). Fix: count tc.Function.Name
when Function is present, fall back to tc.Name only otherwise.
Also fix i18n hint text: "auto-detect" was misleading — the backend
uses a 4x max_tokens heuristic, not actual model detection.
Introduce parseTurnBoundaries() which identifies each Turn start index
in the session history. A Turn is a complete "user input → LLM iterations
→ final response" cycle (as defined in the agent refactor design #1316).
findSafeBoundary now uses Turn boundaries instead of raw role-scanning,
making the intent explicit: "find the nearest Turn boundary."
forceCompression drops the oldest half of Turns (not arbitrary messages),
which is simpler and more intuitive. The Turn-based approach naturally
prevents splitting tool-call sequences since each Turn is atomic.
Add tests that reflect actual session data shape: history starts with
user messages (no system prompt), includes chained tool-call sequences,
reasoning content, and media items. Exercises the proactive budget check
path with BuildMessages-style assembled messages.
Add context_window to config.example.json, the web configuration page
(form model, input field, save handler), and i18n strings (en/zh).
The field is optional — leaving it empty falls back to the 4x max_tokens
heuristic.
estimateMessageTokens now counts ReasoningContent (extended thinking /
chain-of-thought) which can be substantial and is persisted in session
history. Media items get a fixed per-item overhead (256 tokens) since
actual cost depends on provider-specific image tokenization.
Session history (GetHistory) contains only user/assistant/tool messages.
The system prompt is built dynamically by BuildMessages and is never
stored in session. The previous code incorrectly treated history[0] as
a system prompt, skipping the first user message and appending a
compression note to it.
Fix: operate on the full history slice, and record the compression
note in the session summary (which BuildMessages already injects into
the system prompt) rather than modifying any history message.
Separate context_window from max_tokens — they serve different purposes
(input capacity vs output generation limit). The previous conflation caused
premature summarization or missed compression triggers.
Changes:
- Add context_window field to AgentDefaults config (default: 4x max_tokens)
- Extract boundary-safe truncation helpers (isSafeBoundary, findSafeBoundary)
into context_budget.go — pure functions with no AgentLoop dependency
- forceCompression: align split to safe boundary so tool-call sequences
(assistant+ToolCalls → tool results) are never torn apart
- summarizeSession: use findSafeBoundary instead of hardcoded keep-last-4
- estimateTokens: count ToolCalls arguments and ToolCallID metadata,
not just Content — fixes systematic undercounting in tool-heavy sessions
- Add proactive context budget check before LLM call in runAgentLoop,
preventing 400 context-length errors instead of reacting to them
- Add estimateToolDefsTokens for tool definition token cost
Closes#556, closes#665
Ref #1439
- Replace duplicate types (ToolResult/Session/Message) with real project types
- Implement ephemeralSessionStore satisfying session.SessionStore interface
- Connect runTurn to real AgentLoop via runAgentLoop + AgentInstance
- Fix subturn_test.go to match updated signatures and types
Co-Authored-By: Claude Sonnet 4 <noreply@anthropic.com>
* feat(credential): add AES-GCM encryption, SecureStore, and onboard keygen
- pkg/credential: new package with AES-256-GCM enc:// credential format,
HKDF-SHA256 key derivation (passphrase + optional SSH key binding),
ErrPassphraseRequired / ErrDecryptionFailed sentinel errors,
and PassphraseProvider hook for runtime passphrase injection
- pkg/credential/store: lock-free SecureStore via atomic.Pointer[string];
passphrase never written to disk or os.Environ
- pkg/credential/keygen: ed25519 SSH key generation helper used by onboard
- pkg/config: replace os.Getenv(PassphraseEnvVar) with
credential.PassphraseProvider() at all three call sites so that
LoadConfig and SaveConfig use whatever passphrase source is active
- cmd/picoclaw/onboard: prompt for passphrase with echo-off, generate
picoclaw-specific SSH key, re-encrypt existing config on re-onboard
- docs/credential_encryption.md: design doc for the enc:// format
* fix(credential): address Copilot review comments on PR #1521
- credential.go: decouple ErrPassphraseRequired from env var name;
message is now 'enc:// passphrase required' since PassphraseProvider
may come from any source, not just os.Environ
- credential.go: Resolver resolves symlinks via EvalSymlinks before the
isWithinDir containment check, preventing symlink-based path traversal
for file:// credential references
- store.go: tighten comment to describe only what SecureStore guarantees
(in-memory only); remove claims about how callers transport the value
- store_test.go: replace the meaningless GetReturnsCopy test (Go strings
are immutable, equality across two calls proves nothing) with
TestSecureStore_ConcurrentSetGet that exercises atomic.Pointer under
10-goroutine concurrent Set/Get load
- config_test.go: update error-message assertion to match new sentinel text
- docs/credential_encryption.md: remove reference to non-existent
'picoclaw encrypt' subcommand; describe the onboard flow instead
* fix(config): encryptPlaintextAPIKeys: struct-based encryption, fail-fast, remove raw []byte
* fix(credential): require SSH private key for encryption/decryption, remove passphrase-only mode
* lint: fix credential keygen lint, fix test keygen
* onboard: make encryption opt-in via --enc flag
Encryption (passphrase prompt + SSH key generation) is now only
triggered when the user passes --enc to 'picoclaw onboard'.
Without the flag, onboard skips the credential-encryption setup and
writes a plain config + workspace templates directly.
- Add --enc BoolFlag in NewOnboardCommand()
- Pass encrypt bool into onboard()
- Guard passphrase prompt, SSH key generation, and related env-var
setup behind the encrypt branch
- Adjust 'Next steps' output so the passphrase reminder only appears
when --enc was used
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