When identity.name is configured and responsePrefix is not explicitly set,
automatically default responsePrefix to [identity.name].
This means users only need to set their identity once:
{ identity: { name: "MyBot" } }
And outbound messages will automatically be prefixed with [MyBot].
When identity.name is configured, use it for the default messagePrefix
instead of hardcoded '[clawdbot]'. Falls back to 'clawdbot' if not set.
This allows users to customize how their bot identifies itself in messages
by setting identity.name in their config or IDENTITY.md.
- Add `label` field to session entries and expose it in `sessions.list`
- Display label column in the web UI sessions table
- Support `label` parameter in `sessions_send` for lookup by label instead of sessionKey
- `sessions.patch`: Accept and store `label` field
- `sessions.list`: Return `label` in session entries
- `sessions_spawn`: Pass label through to registry and announce flow
- `sessions_send`: Accept optional `label` param, lookup session by label if sessionKey not provided
- `agent` method: Accept `label` and `spawnedBy` params (stored in session entry)
- Add `label` column to sessions table in web UI
- Changed session store writes to merge with existing entry (`{ ...existing, ...new }`)
to preserve fields like `label` that might be set separately
We attempted to implement label persistence "properly" by passing the label
through the `agent` call and storing it during session initialization. However,
the auto-reply flow has multiple write points that overwrite the session entry,
and making all of them merge-aware proved unreliable.
The working solution patches the label in the `finally` block of
`runSubagentAnnounceFlow`, after all other session writes complete.
This is a workaround but robust - the patch happens at the very end,
just before potential cleanup.
A future refactor could make session writes consistently merge-based,
which would allow the cleaner approach of setting label at spawn time.
```typescript
// Spawn with label
sessions_spawn({ task: "...", label: "my-worker" })
// Later, find by label
sessions_send({ label: "my-worker", message: "continue..." })
// Or use sessions_list to see labels
sessions_list() // includes label field in response
```
- Add Microsoft 365 Agents SDK packages (@microsoft/agents-hosting,
@microsoft/agents-hosting-express, @microsoft/agents-hosting-extensions-teams)
- Add MSTeamsConfig type and zod schema
- Create src/msteams/ provider with monitor, token, send, probe
- Wire provider into gateway (server-providers.ts, server.ts)
- Add msteams to all provider type unions (hooks, queue, cron, etc.)
- Update implementation guide with new SDK and progress
Add automatic thinking mode support for Z.AI GLM-4.x models:
- GLM-4.7: Preserved thinking (clear_thinking: false)
- GLM-4.5/4.6: Interleaved thinking (clear_thinking: true)
Uses Z.AI Cloud API format: thinking: { type: "enabled", clear_thinking: boolean }
Includes patches for pi-ai, pi-agent-core, and pi-coding-agent to pass
extraParams through the stream pipeline. User can override via config
or disable via --thinking off.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Add topic-specific session file isolation to fix root cause of Gemini turn validation errors.
Each Telegram topic now maintains its own conversation history file, eliminating race
conditions and message corruption during concurrent topic processing.
Changes:
1. Enhanced resolveSessionTranscriptPath() to support optional topicId parameter
- Topic ID (Telegram messageThreadId) now incorporated into session filename
- Format: sessionId.jsonl (direct chats) vs sessionId-topic-{topicId}.jsonl (topics)
- Backward compatible: topicId is optional
2. Updated reply.ts to pass MessageThreadId to session file resolution
- ctx.MessageThreadId now flows through to resolveSessionTranscriptPath()
- Automatically provides topic context for each incoming message
3. Automatic propagation through entire system
- sessionFile parameter automatically carries topic-specific path through:
- FollowupRun object (queued runs)
- runEmbeddedPiAgent() calls
- compactEmbeddedPiSession() calls
- SessionManager lifecycle (load, read, write operations)
Benefits:
✓ Complete elimination of shared .jsonl race conditions
✓ Each topic's conversation history independently cached
✓ SessionManager instances operate on isolated files
✓ No concurrent mutations of the same message history
✓ Maintains full Phase 1 turn validation as safety layer
Testing:
✓ Build succeeds with no TypeScript errors
✓ Backward compatible with non-topic sessions (direct messages)
✓ Topic ID properly extracted from Telegram messageThreadId
Expected impact:
- Gemini "function call turn" errors eliminated (root cause fixed)
- Message history corruption prevented across all topics
- Improved stability in multi-topic scenarios
- Each topic maintains independent conversation state
This completes the two-phase fix:
- Phase 1 (previous): Turn validation to suppress errors
- Phase 2 (current): Topic isolation to fix root cause
🤖 Generated with Claude Code
Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>
