feat(llm): module scaffold, stack[llm] extra, [llm] config (refs #563)

This commit is contained in:
kert
2026-07-17 08:15:31 -04:00
parent 9c0e7ef47f
commit 6e5ffe7217
7 changed files with 848 additions and 2 deletions

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@@ -49,6 +49,16 @@ bib = [
"mdit-py-plugins>=0.4", "mdit-py-plugins>=0.4",
] ]
bls = [] bls = []
llm = [
"stack[conf]",
"stack[bib]",
"httpx>=0.28.1",
"langchain-core>=0.3.0",
"langchain-ollama>=0.2.0",
"langchain-postgres>=0.0.12",
"psycopg[binary]>=3.2.0",
"sqlalchemy>=2.0.0",
]
ccw = [ ccw = [
"pydantic>=2.0.0", "pydantic>=2.0.0",
] ]
@@ -56,6 +66,7 @@ cli = [
"stack[aco]", "stack[aco]",
"stack[api]", "stack[api]",
"stack[bib]", "stack[bib]",
"stack[llm]",
"stack[mail]", "stack[mail]",
"typer>=0.24.1", "typer>=0.24.1",
"uvicorn>=0.41.0", "uvicorn>=0.41.0",
@@ -143,6 +154,7 @@ all = [
"stack[ccw]", "stack[ccw]",
"stack[cli]", "stack[cli]",
"stack[cms]", "stack[cms]",
"stack[llm]",
"stack[perf]", "stack[perf]",
"stack[pfs]", "stack[pfs]",
"stack[rec]", "stack[rec]",
@@ -198,6 +210,6 @@ source = ["src"]
concurrency = ["multiprocessing", "thread"] concurrency = ["multiprocessing", "thread"]
[tool.uv.build-backend] [tool.uv.build-backend]
module-name = ["aco", "api", "bcda", "bib", "bls", "ccw", "cli", "cms", "conf", "mail", "opps", "perf", "pfs", "prisma", "rec", "rex", "sem"] module-name = ["aco", "api", "bcda", "bib", "bls", "ccw", "cli", "cms", "conf", "llm", "mail", "opps", "perf", "pfs", "prisma", "rec", "rex", "sem"]
namespace = true namespace = true
source-exclude = ["compose.yml","infra/**","data/**","notebooks/**","tuva/**","assets/**","docs/**","dev/**","bundle/**","cloud/**"] source-exclude = ["compose.yml","infra/**","data/**","notebooks/**","tuva/**","assets/**","docs/**","dev/**","bundle/**","cloud/**"]

20
src/llm/__init__.py Normal file
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@@ -0,0 +1,20 @@
"""llm: local RAG over rulemaking comments + the Zotero/bib corpus.
Embeds regulations.gov public comments (``doctype:comment`` in the bib
store) and the reference corpus into pgvector, and (P34/P35) exposes
retrieval, grounded generation, and closed-vocab tagging — all inference
on local Ollama hosts, never cloud APIs.
Architecture::
.state/comments/*.md + bib corpus (llm.source)
-> markdown-aware chunks (llm.chunk)
-> Ollama /api/embed, multi-host (llm.pool)
-> pgvector collections (llm.index)
Spec: docs/superpowers/specs/2026-07-16-llm-module-design.md
"""
from llm.config import LlmConfig as LlmConfig
from llm.config import load as load
from llm.config import pg_url as pg_url

63
src/llm/config.py Normal file
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@@ -0,0 +1,63 @@
"""[llm] configuration — stack.toml section + env overrides.
Env contract:
LLM_OLLAMA_HOSTS comma-separated Ollama base URLs (beats [llm].ollama)
LLM_PG_HOST beats [llm].pg_host (containers set this to "postgres")
LLM_DB_PASSWORD required for pg_url(); lives in .env, never stack.toml
"""
from __future__ import annotations
import os
from dataclasses import dataclass
@dataclass(frozen=True)
class LlmConfig:
ollama_hosts: tuple[str, ...]
embed_model: str
instruct_model: str
embed_dim: int
pg_host: str
pg_port: int
pg_db: str
pg_user: str
def load() -> LlmConfig:
"""Read the [llm] section; env vars override host-ish values."""
from conf import cfg
section = cfg.llm
hosts_env = os.environ.get("LLM_OLLAMA_HOSTS", "")
if hosts_env:
hosts = tuple(h.strip() for h in hosts_env.split(",") if h.strip())
else:
hosts = (str(section.ollama),)
return LlmConfig(
ollama_hosts=hosts,
embed_model=str(section.embed_model),
instruct_model=str(section.instruct_model),
embed_dim=int(section.embed_dim),
pg_host=os.environ.get("LLM_PG_HOST", str(section.pg_host)),
pg_port=int(section.pg_port),
pg_db=str(section.pg_db),
pg_user=str(section.pg_user),
)
def pg_url(cfg: LlmConfig) -> str:
"""SQLAlchemy/psycopg URL for the llm database.
Password comes from LLM_DB_PASSWORD only — secrets never live in
stack.toml.
"""
password = os.environ.get("LLM_DB_PASSWORD", "")
if not password:
raise RuntimeError(
"LLM_DB_PASSWORD not set — add it to .env (see Task 2 provisioning)"
)
return (
f"postgresql+psycopg://{cfg.pg_user}:{password}"
f"@{cfg.pg_host}:{cfg.pg_port}/{cfg.pg_db}"
)

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@@ -34,6 +34,7 @@ nessie = "http://nessie:19120"
polaris = "http://polaris:8181" polaris = "http://polaris:8181"
trino = "http://trino:8080" trino = "http://trino:8080"
grafana = "http://grafana:3000" grafana = "http://grafana:3000"
ollama = "http://ollama:11434"
[context] [context]
active = "local" active = "local"
@@ -100,6 +101,16 @@ retry_interval = 1.0
token_lifetime = 1200 token_lifetime = 1200
timeout = 120.0 timeout = 120.0
[llm]
ollama = "http://127.0.0.1:11434" # host-side default; containers override via LLM_OLLAMA_HOSTS
embed_model = "nomic-embed-text" # 768-dim; bake-off (P33 #564) may revise
instruct_model = "llama3.1:8b" # bake-off may revise
embed_dim = 768
pg_host = "127.0.0.1" # host-side default; containers set LLM_PG_HOST=postgres
pg_port = 5432
pg_db = "llm"
pg_user = "llm"
[s3] [s3]
endpoint = "http://rustfs:9000" endpoint = "http://rustfs:9000"
region = "us-east-1" region = "us-east-1"

0
tests/llm/__init__.py Normal file
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41
tests/llm/test_config.py Normal file
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@@ -0,0 +1,41 @@
"""llm.config — [llm] section parsing + env overrides."""
import pytest
from llm import config as llm_config
class TestLoad:
def test_defaults_from_stack_toml(self, monkeypatch):
monkeypatch.delenv("LLM_OLLAMA_HOSTS", raising=False)
monkeypatch.delenv("LLM_PG_HOST", raising=False)
cfg = llm_config.load()
assert cfg.ollama_hosts == ("http://127.0.0.1:11434",)
assert cfg.embed_model == "nomic-embed-text"
assert cfg.embed_dim == 768
assert cfg.pg_host == "127.0.0.1"
assert cfg.pg_db == "llm"
def test_env_overrides(self, monkeypatch):
monkeypatch.setenv(
"LLM_OLLAMA_HOSTS",
"http://rig:11434, http://laptop:11434",
)
monkeypatch.setenv("LLM_PG_HOST", "postgres")
cfg = llm_config.load()
assert cfg.ollama_hosts == ("http://rig:11434", "http://laptop:11434")
assert cfg.pg_host == "postgres"
class TestPgUrl:
def test_url_includes_password_from_env(self, monkeypatch):
monkeypatch.setenv("LLM_DB_PASSWORD", "s3cret")
cfg = llm_config.load()
url = llm_config.pg_url(cfg)
assert url == f"postgresql+psycopg://llm:s3cret@{cfg.pg_host}:5432/llm"
def test_missing_password_raises(self, monkeypatch):
monkeypatch.delenv("LLM_DB_PASSWORD", raising=False)
cfg = llm_config.load()
with pytest.raises(RuntimeError, match="LLM_DB_PASSWORD"):
llm_config.pg_url(cfg)

701
uv.lock generated
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