Files
brain-of-reese/app/rag/prompts.py
T
ducoterra 15c1272828 feat(rag): agent document tools — list/read tools with env-tuned budgets, SSE tool events + "calling tool" UI
Grounded chat turns now run the agent loop (app/rag/agent.py) instead
of a bare chat_stream: while the per-turn budgets last
(BOR_AGENT_LIST_CALLS / BOR_AGENT_READ_CALLS, default 1 each) the model
gets list_documents (the indexed catalog, /api/docs order) and
read_document (full text, never truncated — A7-revised contract); once
both budgets are spent the tools key is dropped from the request and
the model must answer. Rejected calls (unknown tool, unknown/missing
path, document already in context, spent budget) consume no budget.
Budgets 0/0 make exactly one tools=None request — byte-identical to
the pre-phase path (budgets-as-kill-switch). Deflected turns keep the
direct chat_stream (A8 unchanged; the LOW prompt never carries the
<tools> section).

SSE contract gains {"type":"tool","name":...,"argument":
"source/path"|null} frames ahead of the answer deltas (PLAN §4
extension, owner permission 2026-08-26); done.sources, query_log.sources
and the per-turn log line (gains tool_calls=N) report the retrieval
docs + read docs, deduped. The UI shows a "calling tool"
button/label state and one visible .tool-call line per call above the
answer; the lines persist with the chat record and re-render on
reload. chat_stream passes tools through and accumulates streaming
tool_calls deltas into ToolCallPiece (tools=None stays byte-identical).

E2E: deterministic mock tool flow ("use your tools" + <tools> marker:
list -> read first catalog line -> quoted answer) plus the story suite
(marker flow, reload re-render, plain/deflected no-tool regressions).
Docs: .env.example + README (the two tools, the budgets, the SSE tool
frame, the "calling tool" UI state).

probe: turbo tool_calls=supported 2026-08-26 (uv run python -m
scripts.llm_probe --tools — non-streaming + streaming
finish_reason=tool_calls, indexed delta.tool_calls partials)
2026-08-26 22:39:14 -04:00

233 lines
9.8 KiB
Python

"""Locked system-prompt builder (PLAN §6).
The persona + HONESTY GATE text is **locked verbatim** — change it through
the plan, not here. (PLAN §6 revision, 2026-08-22: the owner's working-tree
persona edits are preserved — no mandated ``"you've got this"`` tagline and
no mandated deflection opening; the honesty gate itself is unchanged.)
Two modes:
* ``HIGH`` — grounded turn: full top-document texts under ``<documents>``.
* ``LOW`` — deflection turn: weak-hit *titles only* plus the
``DEFLECT_MODE`` marker (the E2E mock LLM keys on that marker).
Steering (phase 15): when the owner has stored tuning notes, both modes
carry a ``<tuning>`` section between ``<relevance>…</relevance>`` and the
mode body. With zero notes the prompt is byte-identical to the
pre-steering text.
KB overview (phase 31): when the single ``kb_overview`` row holds a
lite-generated outline of the knowledge base, both modes carry a
``<knowledge_base>`` section between ``<relevance>…</relevance>`` and
the ``<tuning>`` section (order: ``<relevance>`` →
``<knowledge_base>`` → ``<tuning>`` → mode body) — the agent knows
roughly what the KB contains before retrieval. With an empty row the
prompt is byte-identical to the pre-phase text.
Agent tools (phase 37): the **HIGH** prompt only carries a ``<tools>``
section after the ``<documents>`` body — the grounded turn may call the
server-side ``list_documents`` / ``read_document`` tools (budgeted, see
:mod:`app.rag.agent`). The LOW/deflection prompt never carries it and
stays byte-identical to the pre-phase text.
"""
from __future__ import annotations
from collections.abc import Sequence
from app.config import get_settings
from app.models import Document
from app.rag.retriever import TRUNCATION_MARKER
#: PLAN §6 verbatim (line wrapping included); ``{relevance}`` is filled by
#: :func:`_base`.
PERSONA: str = (
'You are "Brain of Reese" — the digital brain of Reese, a self-hoster and\n'
"homelab tinkerer. Personality: chippy, upbeat, warm, and genuinely\n"
"optimistic about the user's ability to do things.\n"
"\n"
"Rules:\n"
"1. Answer ONLY from the provided document context. Cite which document(s)\n"
" you used, by path.\n"
"2. Be concrete: names, versions, ports, hosts, schedules — the specifics in\n"
" the docs are the value.\n"
'3. HONESTY GATE: if <relevance> is "LOW", you must NOT pretend to know.\n'
" Offer 2-3 alternative questions about things you DO have notes on.\n"
"4. Never invent facts, hosts, or steps that are not in the context.\n"
"5. Keep answers tight: short paragraphs, bullets where helpful.\n"
"\n"
"<relevance>{relevance}</relevance>"
)
#: One-line intro of the ``<tuning>`` section (phase 15): the owner's notes
#: steer the answer and win over the defaults when they conflict.
_STEERING_INTRO = (
"The owner of this brain asked you to steer your answers as follows. "
"Where these instructions conflict with the defaults above, follow the owner:\n"
)
#: One-line intro of the ``<knowledge_base>`` section (phase 31): the
#: lite-generated outline is the agent's a-priori picture of the KB.
_KB_INTRO = (
"The basic categories of everything in this knowledge base "
"(generated at import time):\n"
)
#: The ``<tools>`` instructions section — **HIGH prompt only** (phase 37,
#: task 03): a grounded turn may extend its context through the two
#: server-side tools (budgets: ``BOR_AGENT_LIST_CALLS`` /
#: ``BOR_AGENT_READ_CALLS``, see :mod:`app.rag.agent`). Appended after
#: the mode body (``<documents>``), so the instructions are the last
#: thing the model reads. The LOW/deflection prompt never carries it —
#: a deflection has no grounded context to extend — and stays
#: byte-identical to the pre-phase text. The E2E mock keys off the
#: ``<tools>`` marker's *presence*, not this wording.
TOOLS_SECTION: str = (
"<tools>\n"
"If the documents in your context reference other files, or you need "
"content that is not included above, call `list_documents` to see what "
"is indexed, then `read_document` to pull in exactly one more document. "
"Answer as soon as you have what you need — do not read more than one "
"extra document.\n"
"</tools>"
)
def _base(relevance: str) -> str:
if relevance not in ("HIGH", "LOW"):
raise ValueError(f"relevance must be HIGH or LOW, got {relevance!r}")
return PERSONA.replace("{relevance}", relevance)
def build_steering_section(notes: Sequence[str], max_chars: int | None = None) -> str:
"""The ``<tuning>`` section of the system prompt (phase 15).
* No notes (or only blank ones) → ``""`` — callers then build the
prompt exactly as before, so a zero-note prompt is byte-identical to
the pre-steering text.
* Otherwise: numbered notes (in the given order — the chat turn passes
them oldest-first, so #1 is the oldest note) capped at *max_chars*
(default ``BOR_STEERING_MAX_CHARS``). When the budget cannot hold
every note, the oldest-fitting prefix is kept and the overflow is
replaced by the shared ``[…truncated…]`` marker.
"""
cleaned = [str(n).strip() for n in notes]
cleaned = [n for n in cleaned if n]
if not cleaned:
return ""
limit = max_chars if max_chars is not None else get_settings().steering_max_chars
if limit <= 0:
return ""
def render(count: int) -> str:
lines = [f"{i}. {note}" for i, note in enumerate(cleaned[:count], start=1)]
if count < len(cleaned):
lines.append(TRUNCATION_MARKER)
return f"<tuning>\n{_STEERING_INTRO}" + "\n".join(lines) + "\n</tuning>"
for count in range(len(cleaned), 0, -1):
rendered = render(count)
if len(rendered) <= limit:
return rendered
# Pathological budget: not even the empty note list fits. The section
# must still respect the cap — the bare marker when it fits, else none.
if len(TRUNCATION_MARKER) <= limit:
return TRUNCATION_MARKER
return ""
def build_kb_section(overview: str, max_chars: int | None = None) -> str:
"""The ``<knowledge_base>`` section of the system prompt (phase 31).
* No outline (or only whitespace) → ``""`` — callers then build the
prompt exactly as before, so a no-overview prompt is byte-identical
to the pre-phase text (phase 15 convention).
* Otherwise: the intro line + the stored outline, capped at
*max_chars* (default ``BOR_KB_OVERVIEW_MAX_CHARS``). When the budget
cannot hold the whole outline, the longest-fitting prefix is kept
and the overflow is replaced by the shared ``[…truncated…]`` marker
on its own line — the exact :func:`build_steering_section` pattern,
including its pathological-budget handling (never exceed the cap;
bare marker when even one outline character does not fit).
"""
text = str(overview or "").strip()
if not text:
return ""
limit = max_chars if max_chars is not None else get_settings().kb_overview_max_chars
if limit <= 0:
return ""
def render(cut: int) -> str:
lines = [text[:cut]]
if cut < len(text):
lines.append(TRUNCATION_MARKER)
return f"<knowledge_base>\n{_KB_INTRO}" + "\n".join(lines) + "\n</knowledge_base>"
for cut in range(len(text), 0, -1):
rendered = render(cut)
if len(rendered) <= limit:
return rendered
# Pathological budget: not even one outline character fits. The
# section must still respect the cap — the bare marker when it fits,
# else none (steering precedent, phase 15).
if len(TRUNCATION_MARKER) <= limit:
return TRUNCATION_MARKER
return ""
def build_high_prompt(
documents: Sequence[Document],
notes: Sequence[str] | None = None,
kb_overview: str | None = None,
) -> str:
"""Grounded turn: locked persona (+ steering, + KB overview) + full
texts of the top documents + the ``<tools>`` instructions (phase 37).
Section order: ``<relevance>`` → ``<knowledge_base>`` → ``<tuning>``
→ ``<documents>`` → ``<tools>``; empty steering/overview omit their
section. ``<tools>`` is always present in the HIGH prompt (the
budgets — not the prompt — decide whether the tools are actually
offered to the model, see :mod:`app.rag.agent`).
"""
blocks = [
f'<document source="{doc.source}" path="{doc.path}" title="{doc.title}">\n'
f"{doc.content}\n"
"</document>"
for doc in documents
]
body = "\n\n".join(blocks) if blocks else (
"(no documents matched — do not invent specifics)"
)
prompt = _base("HIGH")
for part in (build_kb_section(kb_overview or ""), build_steering_section(notes or [])):
if part:
prompt += "\n" + part
return prompt + "\n<documents>\n" + body + "\n</documents>\n" + TOOLS_SECTION
def build_deflect_prompt(
titles: Sequence[str],
notes: Sequence[str] | None = None,
kb_overview: str | None = None,
) -> str:
"""Deflection turn: weak-hit titles only (no document content).
Section order (phase 31): ``<relevance>`` → ``<knowledge_base>`` →
``<tuning>`` → ``DEFLECT_MODE`` body; empty steering/overview omit
their section, keeping the prompt byte-identical to the pre-phase text.
"""
weak = "\n".join(f"- {t}" for t in titles) if titles else "(nothing close at all)"
mid = "\n".join(
part
for part in (build_kb_section(kb_overview or ""), build_steering_section(notes or []))
if part
)
gap = f"\n{mid}\n" if mid else "\n"
return (
_base("LOW")
+ gap
+ "DEFLECT_MODE: retrieval was weak — the titles below are the closest "
"your notes come to the question. They are titles only; do not pretend "
"they answer it. Use them to propose 2-3 alternative questions.\n"
+ weak
)