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fix: Text bot now reads Confluence pages and includes room docs in LLM context

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Three issues fixed:
1. Confluence URLs were detected but content never fetched - now reads
   the actual page via API so the LLM can work with it
2. Room document context (PDFs, Confluence, images) was stored but never
   passed to the text LLM - now included as system message
3. Conversation history increased from 10 to 30 messages for better
   context in collaborative sessions

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Christian Gick
2026-02-24 08:03:45 +02:00
parent 326a874aa7
commit 3e60e822be
1 changed files with 37 additions and 3 deletions
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40
bot.py
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@@ -857,11 +857,25 @@ class Bot:
except Exception as exc:
logger.warning("Confluence short link resolution failed: %s", exc)
if confluence_page_id:
# Fetch actual page content so the text bot can work with it
conf_text = f"confluence_page_id:{confluence_page_id}"
conf_title = f"Confluence page {confluence_page_id}"
if CONFLUENCE_URL and CONFLUENCE_USER and CONFLUENCE_TOKEN:
try:
from voice import _confluence_read_page
title, plain, _ver = await _confluence_read_page(confluence_page_id)
conf_title = title
conf_text = f"confluence_page_id:{confluence_page_id}\n\nTitle: {title}\n\n{plain}"
logger.info("Fetched Confluence page %s: %s (%d chars)",
confluence_page_id, title, len(plain))
except Exception as exc:
logger.warning("Confluence page fetch failed for %s: %s",
confluence_page_id, exc)
docs = self._room_document_context.setdefault(room.room_id, [])
docs.append({
"type": "confluence",
"filename": f"Confluence page {confluence_page_id}",
"text": f"confluence_page_id:{confluence_page_id}",
"filename": conf_title,
"text": conf_text,
"timestamp": time.time(),
})
logger.info("Confluence page %s detected in room %s",
@@ -1467,7 +1481,7 @@ class Bot:
history = []
try:
resp = await self.client.room_messages(
room.room_id, start=self.client.next_batch or "", limit=10
room.room_id, start=self.client.next_batch or "", limit=30
)
if hasattr(resp, "chunk"):
for evt in reversed(resp.chunk):
@@ -1494,12 +1508,32 @@ class Bot:
memories = await self.memory.query(sender, user_message, top_k=10) if sender else []
memory_context = self._format_memories(memories)
# Include room document context (PDFs, Confluence pages, images uploaded to room)
room_doc_context = ""
room_docs = [e for e in self._room_document_context.get(room.room_id, [])
if time.time() - e["timestamp"] < 3600]
if room_docs:
parts = []
for e in room_docs:
label = {"pdf": "PDF", "image": "Image", "confluence": "Confluence",
"text": "File", "docx": "Word"}.get(e["type"], "Document")
text = e["text"][:20000] if e["type"] != "image" else e["text"][:2000]
parts.append(f"[{label}: {e['filename']}]\n{text}")
room_doc_context = (
"Documents available in this room (uploaded or linked by the user):\n\n"
+ "\n\n---\n\n".join(parts)
+ "\n\nUse these documents to answer questions. "
"You CAN access and read these documents — never say you cannot."
)
# Build conversation context
messages = [{"role": "system", "content": SYSTEM_PROMPT}]
if memory_context:
messages.append({"role": "system", "content": memory_context})
if doc_context:
messages.append({"role": "system", "content": doc_context})
if room_doc_context:
messages.append({"role": "system", "content": room_doc_context})
messages.extend(history)
# Add current user message (multimodal if image provided)