feat(honcho): honcho_context can query any peer (user or ai)
Optional 'peer' parameter: "user" (default) or "ai". Allows asking about the AI assistant's history/identity, not just the user's.
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@@ -441,19 +441,24 @@ class HonchoSessionManager:
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idx = min(default_idx + bump, 3)
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return levels[idx]
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def dialectic_query(self, session_key: str, query: str, reasoning_level: str | None = None) -> str:
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def dialectic_query(
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self, session_key: str, query: str,
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reasoning_level: str | None = None,
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peer: str = "user",
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) -> str:
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"""
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Query Honcho's dialectic endpoint about the user.
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Query Honcho's dialectic endpoint about a peer.
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Runs an LLM on Honcho's backend against the user peer's full
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Runs an LLM on Honcho's backend against the target peer's full
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representation. Higher latency than context() — call async via
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prefetch_dialectic() to avoid blocking the response.
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Args:
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session_key: The session key to query against.
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query: Natural language question about the user.
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query: Natural language question.
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reasoning_level: Override the config default. If None, uses
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_dynamic_reasoning_level(query).
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peer: Which peer to query — "user" (default) or "ai".
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Returns:
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Honcho's synthesized answer, or empty string on failure.
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@@ -462,11 +467,12 @@ class HonchoSessionManager:
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if not session:
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return ""
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user_peer = self._get_or_create_peer(session.user_peer_id)
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peer_id = session.assistant_peer_id if peer == "ai" else session.user_peer_id
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target_peer = self._get_or_create_peer(peer_id)
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level = reasoning_level or self._dynamic_reasoning_level(query)
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try:
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result = user_peer.chat(query, reasoning_level=level) or ""
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result = target_peer.chat(query, reasoning_level=level) or ""
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# Apply Hermes-side char cap before caching
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if result and self._dialectic_max_chars and len(result) > self._dialectic_max_chars:
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result = result[:self._dialectic_max_chars].rsplit(" ", 1)[0] + " …"
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@@ -131,19 +131,23 @@ def _handle_honcho_search(args: dict, **kw) -> str:
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_QUERY_SCHEMA = {
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"name": "honcho_context",
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"description": (
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"Ask Honcho a natural language question about the user and get a synthesized answer. "
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"Ask Honcho a natural language question and get a synthesized answer. "
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"Uses Honcho's LLM (dialectic reasoning) — higher cost than honcho_profile or honcho_search. "
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"Use this when you need a direct answer synthesized from the user's full history. "
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"Examples: 'What are this user's main goals?', 'How does this user prefer to communicate?', "
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"'What is this user's technical expertise level?'"
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"Can query about any peer: the user (default), the AI assistant, or any named peer. "
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"Examples: 'What are the user's main goals?', 'What has hermes been working on?', "
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"'What is the user's technical expertise level?'"
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),
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"parameters": {
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"type": "object",
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"properties": {
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"query": {
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"type": "string",
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"description": "A natural language question about the user.",
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}
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"description": "A natural language question.",
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},
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"peer": {
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"type": "string",
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"description": "Which peer to query about: 'user' (default) or 'ai'. Omit for user.",
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},
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},
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"required": ["query"],
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},
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@@ -156,12 +160,13 @@ def _handle_honcho_context(args: dict, **kw) -> str:
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return json.dumps({"error": "Missing required parameter: query"})
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if not _session_manager or not _session_key:
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return json.dumps({"error": "Honcho is not active for this session."})
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peer_target = args.get("peer", "user")
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try:
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result = _session_manager.dialectic_query(_session_key, query)
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result = _session_manager.dialectic_query(_session_key, query, peer=peer_target)
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return json.dumps({"result": result or "No result from Honcho."})
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except Exception as e:
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logger.error("Error querying Honcho user context: %s", e)
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return json.dumps({"error": f"Failed to query user context: {e}"})
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logger.error("Error querying Honcho context: %s", e)
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return json.dumps({"error": f"Failed to query context: {e}"})
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# ── honcho_conclude ──
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