- Auto-threading (Telegram topic-mode workflow): message.send {auto_thread}
mints a fresh AI-named thread (instant derived title, LLM upgrade via
channel.renamed); channel.created {auto:true}; the app jumps into the new
thread and relocates the optimistic pending bubble.
- history frame: paged full message history for initial channel open /
scroll-up pagination (reconstructed from the outbox log).
- Streaming on/off: gateway side (display.platforms.android.streaming) plus a
per-device app toggle (Settings → Streaming); reasoning/model/tokens carried
on message frames.
- Context menu: long-press (touch) / right-click (desktop) thread affordances
via a KMP rightClick expect/actual.
- Settings → Reasoning: auto-collapse long reasoning blocks (default on).
- Tool detail: the gateway now always supplies full tool data — it forces
verbose tool progress (full args → tool.start.args) and captures each
completed call via the post_tool_call hook (output/duration/ok → tool.end).
The app reveals the full call + output on expand (Truncated) and
auto-expands cards in Everything mode.
6.8 KiB
05 — Streaming, Reasoning, Tools, Intermediate Messages
This doc covers the four "agent transparency" features and exactly how each is produced by the gateway and rendered by the app.
The main hermes gateway delivers via the legacy callback path (not the ACP-only event-native
render_message_eventpath). We map the legacysend/edit_message/progress calls to our WS frames.
5.1 Text streaming
Gateway side. The agent's stream_delta_callback feeds a
GatewayStreamConsumer (gateway/stream_consumer.py:156). The consumer
accumulates text and, at intervals / thresholds, calls:
adapter.send(chat_id, text)— first time a bubble is created.adapter.edit_message(chat_id, message_id, text)— subsequent updates (each carries the full accumulated text).
Adapter → frames.
- First
send()of a turn segment →message.start {message_id, role}. - Each
edit_message()→message.update {message_id, text}(full text). - Segment/turn finalization →
message.stop {message_id, final_text, reasoning?, model?, tokens?}(or a finalmessageframe when not streaming).
App side. Maintain a live bubble per message_id. On message.update,
replace the bubble text (cheap: it's a full snapshot). On message.stop,
finalize (attach reasoning/model/tokens footer, stop the cursor). Auto-scroll
while the user is at the bottom.
Streaming on/off. Two levels:
- Gateway side: hermes
display.platforms.android.streaming(default follows global). When off, the app just gets one finalmessageframe. - App side (per device): Settings → "Streaming" toggle (default on). When
off, the app ignores
message.start/message.updateframes and materializes each reply as a single final message onmessage.stop(ChatStore.onMessageStopalready handles a stop without a live bubble). The gateway keeps streaming — frames are broadcast to all devices, so this is a display preference like tool verbosity, not a wire flag.
5.2 Reasoning (shown before the message)
Requirement: reasoning appears as a block above the answer (like the reference screenshot's "Reasoning:" panel with a copy button).
Gateway side. hermes prepends reasoning to the final response when
show_reasoning is enabled (gateway/run.py:20089). The format is stable and
chosen by reasoning_style (gateway/display_config.py:37):
code(default):💭 **Reasoning:**\n```\n<reasoning>\n```\n\n<response>blockquote:> 💭 **Reasoning:**\n> …\n\n<response>subtext:-# 💭 Reasoning\n-# …\n\n<response>(Discord-style)
Plugin config. Set for the android platform:
display:
platforms:
android:
show_reasoning: true
reasoning_style: code # we split on the code-fence form
Adapter split. In send(), detect the code-style prefix and split:
prefix = "💭 **Reasoning:**\n```\n"
# find the closing "\n```\n\n" after the prefix
reasoning = text[len(prefix):close_idx]
body = text[close_idx + len("\n```\n\n"):]
Emit message {reasoning: <reasoning>, text: <body>, …}. If no prefix is found
(reasoning off / no reasoning), emit message {text: …} with no reasoning.
Robustness: the split is a best-effort parse of a stable, gateway-owned format. If the format ever changes, the fallback is "no reasoning field, full text" — the app still shows the answer. Verified in M2 against the live gateway.
App side. ReasoningBlock composable: collapsible, header "💭 Reasoning",
monospace body, a copy button (matches reference). Rendered above the
message body. Collapsed by default if long; expanded tap.
5.3 Tool output (app controls verbosity)
Requirement: hermes supports several tool-display modes; the gateway sends full structured data, and the app chooses how much to show (everything / truncated / nothing).
Gateway side. Tool activity flows through tool_progress_callback → the
gateway progress queue → send_progress_messages (gateway/run.py:4603) →
adapter.send(). The adapter receives tool lines during a turn.
Adapter → frames. The adapter classifies tool activity (via turn-state + line format) and emits structured frames — not pre-formatted strings:
tool.start {index, name, preview, args}— a tool call began.tool.progress {index, name, note}— in-progress update (optional).tool.end {index, name, ok, duration, output_preview}— completed.
index is a monotonic per-turn counter so the app correlates start→end.
args is the full argument dict (the app truncates). output_preview is a
short tail; full tool output is not streamed (it lives in agent history and
is reachable via search).
App side — the verbosity setting (Settings → "Tool detail"):
- Everything — show tool name, full args (collapsible), and output preview.
- Truncated (default) — show
emoji name: "short preview"one-liner, collapsible to expand. - Nothing — suppress
tool.*frames entirely (clean chat).
Rendering: a ToolCard per tool, grouped under the message it belongs to, with
a spinner while tool.end hasn't arrived, a ✓/✗ on completion, and duration.
Classification detail: the exact way to distinguish a tool-progress
send()from a regularsend()/commentary is confirmed empirically in M2 by running the real gateway with a test WS client and observing the calls. The adapter keeps a per-chat turn state machine (turn active, current streaming id, last tool index) to make the classification deterministic.
5.4 Intermediate messages (commentary)
Requirement: show the agent's interim beats (e.g. "I'll inspect the repo first.") as distinct messages.
Gateway side. interim_assistant_callback → consumer on_commentary
(gateway/stream_consumer.py:518) → delivered as its own message.
Adapter → frames. commentary {message_id, text}.
App side. Render as a dimmed / smaller bubble, visually distinct from final answers (e.g. reduced opacity, no model footer). It reads as a "beat" in the conversation, not a full reply.
5.5 Typing indicator
send_typing → typing {on:true}; the app shows an animated indicator in the
chat header / above the composer until typing.stop or the first
message.start.
5.6 Frame sequence for a typical turn
app → message.send {text:"summarize the repo"}
srv → typing {on:true}
srv → message.start {message_id:m1}
srv → message.update {m1, "Let me look…"} (streaming)
srv → tool.start {index:1, name:terminal, args:{command:"ls -la"}}
srv → tool.end {index:1, name:terminal, ok:true, duration:0.4}
srv → commentary {m2, "Found 12 files."}
srv → message.start {message_id:m3}
srv → message.update {m3, "The repo has…"}
srv → message.stop {m3, final_text:"…", reasoning:"…", model:"…", tokens:42}
srv → typing {on:false}