During rapid tool-calling, the model often emits 1-2 tokens before
switching to tool calls. The stream consumer would create a new message
with 'X ▉' (short text + cursor), and if the follow-up edit to strip
the cursor was rate-limited by the platform, the cursor remained as
a permanent standalone message — reported on Telegram as 'white box'
artifacts.
Add a minimum-content guard in _send_or_edit: when creating a new
standalone message (no existing message_id), require at least 4
visible characters alongside the cursor before sending. Shorter text
accumulates into the next streaming segment instead.
This prevents cursor-only 'tofu' messages across all platforms without
affecting normal streaming (edits to existing messages, final sends
without cursor, and messages with substantial text are all unaffected).
Reported by @michalkomar on X.
Models like MiniMax emit inline <think>...</think> reasoning blocks in
their content field. The CLI already suppresses these via a state machine
in _stream_delta, but the gateway's GatewayStreamConsumer had no
equivalent filtering — raw think blocks were streamed directly to
Discord/Telegram/Slack.
The fix adds a _filter_and_accumulate() method that mirrors the CLI's
approach: a state machine tracks whether we're inside a reasoning block
and silently discards the content. Includes the same block-boundary
check (tag must appear at line start or after whitespace-only prefix)
to avoid false positives when models mention <think> in prose.
Handles all tag variants: <think>, <thinking>, <THINKING>, <thought>,
<reasoning>, <REASONING_SCRATCHPAD>.
Also handles edge cases:
- Tags split across streaming deltas (partial tag buffering)
- Unclosed blocks (content suppressed until stream ends)
- Multiple consecutive blocks
- _flush_think_buffer on stream end for held-back partial tags
Adds 22 unit tests + 1 integration test covering all scenarios.
When the 5-second stream_task timeout in gateway/run.py expires (due to
slow Telegram API calls from rate limiting after several messages), the
stream consumer is cancelled via asyncio.CancelledError. The
CancelledError handler did a best-effort final edit but never set
final_response_sent, so the gateway fell through to the normal send path
and delivered the full response again as a reply — causing a duplicate.
The fix: in the CancelledError handler, set final_response_sent = True
when already_sent is True (i.e., the stream consumer had already
delivered content to the user). This tells the gateway's already_sent
check that the response was delivered, preventing the duplicate send.
Adds two tests verifying the cancellation behavior:
- Cancelled with already_sent=True → final_response_sent=True (no dup)
- Cancelled with already_sent=False → final_response_sent=False (normal
send path proceeds)
Reported by community user hume on Discord.
Add display.interim_assistant_messages config (enabled by default) that
forwards completed assistant commentary between tool calls to the user
as separate chat messages. Models already emit useful status text like
'I'll inspect the repo first.' — this surfaces it on Telegram, Discord,
and other messaging platforms instead of swallowing it.
Independent from tool_progress and gateway streaming. Disabled for
webhooks. Uses GatewayStreamConsumer when available, falls back to
direct adapter send. Tracks response_previewed to prevent double-delivery
when interim message matches the final response.
Also fixes: cursor not stripped from fallback prefix in stream consumer
(affected continuation calculation on no-edit platforms like Signal).
Cherry-picked from PR #7885 by asheriif, default changed to enabled.
Fixes#5016
Platforms that don't return a message_id after the first send (Signal,
GitHub webhooks) were causing GatewayStreamConsumer to re-enter the
"first send" path on every tool boundary, posting one platform message
per tool call (observed as 155 PR comments on a single response).
Fix: treat _message_id == "__no_edit__" as a sentinel meaning "platform
accepted the send but cannot be edited". When a tool boundary arrives
in that state, skip the message_id/accumulated/last_sent_text reset so
all continuation text is delivered once via _send_fallback_final rather
than re-posted per segment.
Also make prompt_toolkit imports in hermes_cli/commands.py optional so
gateway and test environments that lack the package can still import
resolve_command, gateway_help_lines, and COMMAND_REGISTRY.
Fixes#4647 — Signal replies duplicated when gateway streaming is enabled.
Root cause: stream_consumer.py did not handle the case where send() returns
success=True but no message_id (Signal behavior). Every stream delta produced
a separate send() call (7+ messages instead of 2), plus the gateway sent
another full duplicate since already_sent was never set.
Changes:
- stream_consumer.py: Add elif branch for success-without-message_id — enters
fallback mode (sets already_sent, disables editing, sends only continuation)
- signal.py send(): Extract timestamp from signal-cli RPC result as message_id
so stream consumer follows normal edit→fallback path
- signal.py: Add public stop_typing() delegating to _stop_typing_indicator()
so base adapter's _keep_typing finally block can clean up typing tasks
- gateway/run.py: Per-platform tool_progress_overrides (#6164) — lets users
set e.g. signal: off while keeping telegram: all
- hermes_cli/config.py: Add tool_progress_overrides to DEFAULT_CONFIG
Refs: #4647, #6164
When streaming was enabled on the gateway, the stream consumer created a
single message at the start and kept editing it as tokens arrived. Tool
progress messages were sent as separate messages below it. Since edits
don't change message position on Telegram/Matrix/Discord, the final
response ended up stuck above all tool progress messages — users had to
scroll up past potentially dozens of tool call lines to read the answer.
The agent already sends stream_delta_callback(None) at tool boundaries
(before _execute_tool_calls). The stream consumer was ignoring this
signal. Now it treats None as a segment break: finalizes the current
message (removes cursor), resets _message_id, and the next text chunk
creates a fresh message below the tool progress messages.
Timeline before:
[msg 1: 'Let me search...' → edits → 'Here is the answer'] ← top
[msg 2: tool progress lines] ← bottom
Timeline after:
[msg 1: 'Let me search...'] ← top
[msg 2: tool progress lines]
[msg 3: 'Here is the answer'] ← bottom (visible)
Reported by SkyLinx on Discord.
When streaming is enabled, the GatewayStreamConsumer sends raw text
chunks directly to the platform without post-processing. This causes
MEDIA:/path/to/file tags and [[audio_as_voice]] directives to appear
as visible text in the user's chat instead of being stripped.
The non-streaming path already handles this correctly via
extract_media() in base.py, but the streaming path was missing
equivalent cleanup.
Add _clean_for_display() to GatewayStreamConsumer that strips MEDIA:
tags and internal markers before any text reaches the platform. The
actual media file delivery is unaffected — _deliver_media_from_response()
in gateway/run.py still extracts files from the agent's final_response
(separate from the stream consumer's display text).
Reported by Ao [FotM] on Discord.
