* fix: detect Anthropic 'Request size exceeds model context window' as context overflow
Anthropic now returns 'Request size exceeds model context window' instead of
the previously detected 'prompt is too long' format. This new error message
was not recognized by isContextOverflowError(), causing auto-compaction to
NOT trigger. Users would see the raw error twice without any recovery attempt.
Changes:
- Add 'exceeds model context window' and 'request size exceeds' to
isContextOverflowError() detection patterns
- Add tests that fail without the fix, verifying both the raw error
string and the JSON-wrapped format from Anthropic's API
- Add test for formatAssistantErrorText to ensure the friendly
'Context overflow' message is shown instead of the raw error
Note: The upstream pi-ai package (@mariozechner/pi-ai) also needs a fix
in its OVERFLOW_PATTERNS regex: /exceeds the context window/i should be
changed to /exceeds.*context window/i to match both 'the' and 'model'
variants for triggering auto-compaction retry.
* fix(tests): remove unused imports and helper from test files
Remove WorkspaceBootstrapFile references and _makeFile helper that were
incorrectly copied from another test file. These caused type errors and
were unrelated to the context overflow detection tests.
* fix: trigger auto-compaction on context overflow promptError
When the LLM rejects a request with a context overflow error that surfaces
as a promptError (thrown exception rather than streamed error), the existing
auto-compaction in pi-coding-agent never triggers. This happens because the
error bypasses the agent's message_end → agent_end → _checkCompaction path.
This fix adds a fallback compaction attempt directly in the run loop:
- Detects context overflow in promptError (excluding compaction_failure)
- Calls compactEmbeddedPiSessionDirect (bypassing lane queues since already in-lane)
- Retries the prompt after successful compaction
- Limits to one compaction attempt per run to prevent infinite loops
Fixes: context overflow errors shown to user without auto-compaction attempt
* style: format compact.ts and run.ts with oxfmt
* fix: tighten context overflow match (#1627) (thanks @rodrigouroz)
---------
Co-authored-by: Claude <claude@anthropic.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
Added a dedicated Anthropic payload logger that writes exact request
JSON (as sent) plus per‑run usage stats (input/output/cache read/write)
to a
standalone JSONL file, gated by an env flag.
Changes
- New logger: src/agents/anthropic-payload-log.ts (writes
logs/anthropic-payload.jsonl under the state dir, optional override via
env).
- Hooked into embedded runs to wrap the stream function and record
usage: src/agents/pi-embedded-runner/run/attempt.ts.
How to enable
- CLAWDBOT_ANTHROPIC_PAYLOAD_LOG=1
- Optional:
CLAWDBOT_ANTHROPIC_PAYLOAD_LOG_FILE=/path/to/anthropic-payload.jsonl
What you’ll get (JSONL)
- stage: "request" with payload (exact Anthropic params) +
payloadDigest
- stage: "usage" with usage
(input/output/cacheRead/cacheWrite/totalTokens/etc.)
Notes
- Usage is taken from the last assistant message in the run; if the
run fails before usage is present, you’ll only see an error field.
Files touched
- src/agents/anthropic-payload-log.ts
- src/agents/pi-embedded-runner/run/attempt.ts
Tests not run.
* fix(ui): allow relative URLs in avatar validation
The isAvatarUrl check only accepted http://, https://, or data: URLs,
but the /avatar/{agentId} endpoint returns relative paths like /avatar/main.
This caused local file avatars to display as text instead of images.
Fixes avatar display for locally configured avatar files.
* fix(gateway): resolve local avatars to URL in HTML injection and RPC
The frontend fix alone wasn't enough because:
1. serveIndexHtml() was injecting the raw avatar filename into HTML
2. agent.identity.get RPC was returning raw filename, overwriting the
HTML-injected value
Now both paths resolve local file avatars (*.png, *.jpg, etc.) to the
/avatar/{agentId} endpoint URL.
* feat(compaction): add adaptive chunk sizing and progressive fallback
- Add computeAdaptiveChunkRatio() to reduce chunk size for large messages
- Add isOversizedForSummary() to detect messages too large to summarize
- Add summarizeWithFallback() with progressive fallback:
- Tries full summarization first
- Falls back to partial summarization excluding oversized messages
- Notes oversized messages in the summary output
- Add SAFETY_MARGIN (1.2x) buffer for token estimation inaccuracy
- Reduce MIN_CHUNK_RATIO to 0.15 for very large messages
This prevents compaction failures when conversations contain
unusually large tool outputs or responses that exceed the
summarization model's context window.
* feat(ui): add compaction indicator and improve event error handling
Compaction indicator:
- Add CompactionStatus type and handleCompactionEvent() in app-tool-stream.ts
- Show '🧹 Compacting context...' toast while active (with pulse animation)
- Show '🧹 Context compacted' briefly after completion
- Auto-clear toast after 5 seconds
- Add CSS styles for .callout.info, .callout.success, .compaction-indicator
Error handling improvements:
- Wrap onEvent callback in try/catch in gateway.ts to prevent errors
from breaking the WebSocket message handler
- Wrap handleGatewayEvent in try/catch with console.error logging
to isolate errors and make them visible in devtools
These changes address UI freezes during heavy agent activity by:
1. Showing users when compaction is happening
2. Preventing uncaught errors from silently breaking the event loop
* fix(control-ui): add agentId to DEFAULT_ASSISTANT_IDENTITY
TypeScript inferred the union type without agentId when falling back to
DEFAULT_ASSISTANT_IDENTITY, causing build errors at control-ui.ts:222-223.
Auth profiles in cooldown (due to rate limiting) were being attempted,
causing unnecessary retries and delays. This fix ensures:
1. Initial profile selection skips profiles in cooldown
2. Profile rotation (after failures) skips cooldown profiles
3. Clear error message when all profiles are unavailable
Tests added:
- Skips profiles in cooldown during initial selection
- Skips profiles in cooldown when rotating after failure
Fixes#1316
* feat(sessions): add channelIdleMinutes config for per-channel session idle durations
Add new `channelIdleMinutes` config option to allow different session idle
timeouts per channel. For example, Discord sessions can now be configured
to last 7 days (10080 minutes) while other channels use shorter defaults.
Config example:
sessions:
channelIdleMinutes:
discord: 10080 # 7 days
The channel-specific idle is passed as idleMinutesOverride to the existing
resolveSessionResetPolicy, integrating cleanly with the new reset policy
architecture.
* fix
* feat: add per-channel session reset overrides (#1353) (thanks @cash-echo-bot)
---------
Co-authored-by: Cash Williams <cashwilliams@gmail.com>
Co-authored-by: Peter Steinberger <steipete@gmail.com>
Added a standalone cache tracing module and wired it into the embedded
runner so you can capture message flow and the exact context sent to
Anthropic in a separate JSONL file.
What changed
- New tracing module: src/agents/cache-trace.ts (self‑contained,
env‑gated, writes JSONL, computes per‑message digests).
- Hook points in src/agents/pi-embedded-runner/run/attempt.ts: logs
stage snapshots (loaded/sanitized/limited/prompt/stream/after) and wraps
the
stream fn to record the real context.messages at send time.
How to enable
- CLAWDBOT_CACHE_TRACE=1 enables tracing.
- CLAWDBOT_CACHE_TRACE_FILE=~/.clawdbot/logs/cache-trace.jsonl
overrides output (default is
$CLAWDBOT_STATE_DIR/logs/cache-trace.jsonl).
- Optional filters:
- CLAWDBOT_CACHE_TRACE_MESSAGES=0 to omit full messages (still
logs digests).
- CLAWDBOT_CACHE_TRACE_PROMPT=0 to omit prompt text.
- CLAWDBOT_CACHE_TRACE_SYSTEM=0 to omit system prompt.
What you’ll see
- One JSON object per line with stage, messagesDigest, per‑message
messageFingerprints, and the actual messages if enabled.
- The most important line is stage: "stream:context" — that is the
exact payload pi‑mono is sending. If this diverges from earlier stages,
you’ve
found the mutation point.