maintainer edit: remove the _last_compacted_at maintenance state, gate idle compaction on whether a session still has a removable tail, and sort WebUI sessions by the latest visible transcript activity.
MCP server URLs can carry secrets in userinfo
(`https://user:token@host/sse`) or a query string (`?token=...`). A few
connect/validate paths logged the raw `cfg.url` / `request.url`, so those
secrets could land in log files that are often shared or aggregated.
Add a small `_redact_url()` helper that keeps only scheme/host/port/path
and use it at the four sites that log a server or request URL. Logging
only; no other behavior changes.
send_delta popped the buffer before self.send ran, so a transient WeChat
send failure dropped the completed streamed reply: ChannelManager
_send_with_retry re-invokes the same _stream_end message, but the buffer
was already gone, so the retry sent empty content and returned — turning a
delivery retry into silent message loss.
Build `full` from the buffer without popping, send, then clear only after a
successful send. The _stream_end message's own content (set when the manager
coalesces deltas into the end message) is folded into `full` via addition
rather than appended to the buffer, so a retry recomputes the same `full`
from an unchanged buffer instead of double-counting it.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
WeixinConfig lacked a streaming field, so channels.weixin.streaming was
silently dropped by pydantic and supports_streaming stayed False, forcing the
non-streaming Messages API. Some upstream Anthropic relays drop tool_use
id/name/input on the non-stream path (but handle SSE fine), breaking WeChat
tool calls.
Two parts:
1. Add a streaming field (default True) so WeChat routes LLM calls through the
streaming API. WeChat iLink has no native incremental delivery, so this is
user-invisible — it only changes how the LLM is called.
2. WeChat send_delta previously dropped content, and the manager bypasses send
for the _streamed final answer, so a streamed reply never reached the user.
send_delta now buffers content deltas and flushes the full reply in one shot
at _stream_end (also stopping the typing indicator via send).
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Mark each processed incoming WhatsApp message as read via neonize's
mark_read(receipt=ReceiptType.READ), so senders see the blue double-check.
The receipt is sent right after the message passes dedup and is best-effort:
any failure is logged at debug level and swallowed, so it never blocks or
breaks message handling.
Maintainer edit: add mocked coverage for the enterprise endpoint and client ID override paths, and document the environment variables users must set before OAuth login.
apply_final_call_ids iterated over all final tool calls, including
non-file-edit tools like read_file. The greedy path-match in
matches_final_tool_call could overwrite a correct unique id with a
stale one from a different streaming state, producing duplicate
tool_use ids that poison the persisted session.
Guard the loop with is_file_edit_tool() so only tracked file-edit
tools (write_file, edit_file, apply_patch) are subject to canonical
id remapping. Non-file-edit tools keep their authoritative id from
get_final_message().
Fixes#4595
Remove retained and new_last_consolidated from RetentionResult.
Both were populated but never read by any caller. The authoritative
state remains self.messages and self.last_consolidated, which the
method mutates in place. Update docstring accordingly.
Replace the tuple(list[dict], int) return of
Session.retain_recent_legal_suffix with a named RetentionResult
dataclass that exposes retained, dropped,
already_consolidated_count, and new_last_consolidated fields.
The tuple return was easy to misuse because the second value only
made sense relative to the first and the old last_consolidated
cursor. The named fields make the archive-skip semantics explicit
at every call site.
No behavior change. All existing tests pass unchanged in semantics.
Refs #4136
Signed-off-by: axelray-dev <110029405+axelray-dev@users.noreply.github.com>
Treat max_messages as a last-resort replay guard now that consolidation and idle auto-compact own normal history reduction. Raising the default avoids frequent sliding-window prefix churn in moderate conversations without adding a new cache-policy knob.
Combine malformed tool-call handling with placeholder filtering and a
no-tools fallback so a relay that returns tool_use blocks with null
id/name/input can no longer crash a turn or permanently wedge a session.
Adapted to the ContextGovernor architecture (context governance now lives
in nanobot/agent/context_governance.py, not runner.py):
- ToolCallRequest.has_valid_name(): single source of truth for "usable
name" (non-empty string).
- tool_hints.format_tool_hints(): skip tool calls with a non-string/empty
name instead of raising AttributeError on the whole turn.
- ContextGovernor.strip_placeholder_assistant_messages() and
strip_malformed_tool_calls() (plus the _tool_call_name_is_valid helper):
history-cleaning staticmethods invoked at the START of
prepare_for_model() — strip_placeholder, then strip_malformed, then the
existing drop_orphan/backfill chain. Both only repair the model-facing
copy and leave persisted history untouched (return a copy, or the same
list when nothing changes). Also wired into runner's minimal-repair path.
- AgentRunner._drop_malformed_tool_calls(): returns
(dropped, all_dropped, original_finish_reason); clears finish_reason to
"stop" when all calls are dropped.
- AgentRunner._malformed_tool_call_retry_messages() + _request_model
malformed_retry flag: when an all-dropped tool_calls response comes back,
retry once with a corrective note; if the retry STILL comes back
all-dropped, fall back to _request_no_tools for graceful text degradation.
Tests for the history-cleaning methods live with ContextGovernor in
tests/agent/test_runner_governance.py; response-layer and tool-hint tests
stay on AgentRunner / tool_hints.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
list_sessions() silently dropped corrupt session files whose filename
stem was a legacy non-base64 name (e.g. telegram_12345.jsonl from the
old lossy path scheme). The repair path called _repair(fallback_key),
but _repair re-encodes the key via _storage_key(), producing a
different base64 filename that never matches the actual file on disk.
Add an optional path parameter to _repair so callers can pass the
actual file path directly, bypassing the key-to-filename round trip.
Signed-off-by: axelray-dev <110029405+axelray-dev@users.noreply.github.com>
MCPToolWrapper.execute only handled TextContent; every other block was
rendered with str(block). An MCP ImageContent block therefore became a
large base64 string embedded in the tool result, which (a) was truncated
by max_tool_result_chars, corrupting the data, and (b) could never reach a
channel because it was plain text, not an image artifact.
Decode ImageContent (and EmbeddedResource blobs with an image/* MIME type)
and persist them via store_generated_image_artifact, returning the same
compact {artifacts, next_step} JSON the built-in image_generation tool
produces. The base64 stays out of the model context; the model delivers the
saved file via the message tool's media parameter.
After a gateway restart or websocket reconnect, the UI stays stuck in
processing state because reconnecting clients only replay running status
when a turn is active, never push idle when no turn is running.
Fix _hydrate_after_subscribe to always push goal_status (running with
started_at when turn is active, idle when no turn is running) so the
frontend can reset its processing indicator on reconnect.
Also fix cmd_stop reporting 'No active task to stop' when a task is
actually processing by draining the pending injection queue in addition
to cancelling active tasks. This prevents mid-turn injection deadlocks
and gives accurate task counts.
safe_key() replaces ':' with '_', causing collisions between distinct
keys (e.g. telegram:a_b vs telegram:a:b both become telegram_a_b).
Use base64url (no padding) for collision-resistant encoding while
maintaining backward compatibility: _get_session_path and
_get_legacy_session_path check the new path first, then fall back
to the old lossy encoding for existing session files.
_assistant_blocks appends dict items from content lists directly
without checking for the required 'type' field. A block like
{'text': 'hi'} reaches the Anthropic payload without a 'type',
causing a 400 rejection.
Add the same missing-type check that _convert_user_content already has,
so bare dicts in assistant content lists are coerced to text blocks
instead of triggering API validation errors.
Co-authored-by: nanobot-issues <issues@nanobot.dev>
ChannelManager coalesces _stream_delta messages by (channel, chat_id)
only. Overlapping streams in the same chat can be merged incorrectly
because deltas from distinct _stream_id values share one buffer.
Include _stream_id in the coalescing key so distinct streams in the
same channel and chat are delivered separately.
Duplicate tool call ID normalization exists in the streaming parser path
but is not shared with the non-stream parser. Non-stream parsing appends
raw provider IDs into ToolCallRequest objects without deduplication.
Some OpenAI-compatible providers reuse the same tool_call_id for parallel
tool calls in non-streaming responses. Without dedup, runner executes
both tools with the same ID, producing duplicate tool results with the
same tool_call_id, which can fail strict provider validation.
Add the same _seen_tc_ids dedup pattern used in _parse_chunks to the
_parse method so both paths handle duplicate IDs consistently.
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