test: add unit test suite for config, health checks, and lifespan wiring

Why:
- first runnable slice of ADR-0012's resource-lifetime rules and ADR-0015's package layout: app-lifetime clients built once in the lifespan, released via explicit dependencies.

Changes:
- Settings split into per-domain nested settings (postgres/minio/ingestion/qdrant/app/logging); FastAPI app wired with /healthz, /readyz and a /v1 router; Postgres/MinIO/Qdrant adapters and SQLAlchemy models for tenants, API keys, source files, ingestion jobs/events.

.claude/agents/Explore.md

@@ -1,5 +0,0 @@
----
-name: Explore
-description: Fast, read-only codebase search
-model: sonnet
----

.claude/hooks/python_quality.py

@@ -3,18 +3,51 @@
 
 The hook is intentionally non-blocking: it formats/fixes what Ruff can fix safely,
 then reports remaining Ruff/ty diagnostics back to Claude as additional context.
+
+It also audits each edit for *suppression*: inline ignore comments, typing weakened
+to `Any`, dynamic-attribute escapes, and config-level rule downgrades. The point is
+that silencing a diagnostic can never be quieter than fixing it. Diagnostics are
+remembered between runs, so a diagnostic that disappears in the same edit that
+introduced a suppression marker is reported loudly rather than passing as "clean".
 """
 
 from __future__ import annotations
 
 import hashlib
 import json
+import re
 import subprocess
 import sys
 from pathlib import Path
 
 PYTHON_SUFFIXES = {".py", ".pyi"}
+CONFIG_NAMES = {"pyproject.toml", "ty.toml", ".ty.toml", "ruff.toml", ".ruff.toml", "setup.cfg"}
 SKIP_PARTS = {".git", ".venv", "__pycache__"}
+STATE_RELATIVE = Path(".claude") / "hooks" / ".quality_state.json"
+
+# Markers that make a diagnostic go away without necessarily fixing what it found.
+SUPPRESSION_PATTERNS: tuple[tuple[str, re.Pattern[str]], ...] = (
+    ("type-checker suppression", re.compile(r"#\s*(?:ty|type|pyright|mypy)\s*:\s*ignore")),
+    ("lint suppression", re.compile(r"#\s*noqa\b")),
+    ("coverage suppression", re.compile(r"#\s*pragma:\s*no\s*cover")),
+    ("typing weakened to Any", re.compile(r"(?:->|:)\s*(?:typing\.)?Any\b|\bcast\s*\(")),
+    ("dynamic attribute escape", re.compile(r"\b(?:get|set|has)attr\s*\(")),
+    ("broad exception swallow", re.compile(r"\bexcept\s+(?:BaseException|Exception)\b")),
+    ("narrowing assert", re.compile(r"\bassert\s+.+\bis\s+not\s+None\b")),
+)
+
+# Config edits that disable checks repo-wide. These files are not Python, so the
+# normal per-file check never runs on them and the effect is otherwise invisible.
+CONFIG_PATTERNS: tuple[tuple[str, re.Pattern[str]], ...] = (
+    ("rule downgraded", re.compile(r'^\s*[\w-]+\s*=\s*"(?:ignore|warn)"')),
+    ("rule/override block", re.compile(r"^\s*\[\[?tool\.(?:ty|ruff)[\w.]*\]\]?")),
+    ("lint ignore list", re.compile(r"^\s*(?:ignore|extend-ignore|per-file-ignores)\s*=")),
+    ("paths excluded from checks", re.compile(r"^\s*(?:exclude|extend-exclude)\s*=")),
+)
+
+HUNK_RE = re.compile(r"^@@ -\d+(?:,\d+)? \+(\d+)(?:,\d+)? @@")
+TY_DIAGNOSTIC_RE = re.compile(r"^(?:error|warning)\[([a-z0-9-]+)\]")
+RUFF_DIAGNOSTIC_RE = re.compile(r"^.+?:\d+:\d+:\s+([A-Z]+\d+)\b")
 
 
 def main() -> int:
@@ -26,10 +59,22 @@ def main() -> int:
     repo_root = _repo_root()
     path = _resolve_path(file_path, repo_root)
 
-    if not _should_check(path):
+    if not path.is_file() or not SKIP_PARTS.isdisjoint(path.parts):
+        return 0
+
+    is_python = path.suffix in PYTHON_SUFFIXES
+    is_config = not is_python and path.name in CONFIG_NAMES
+    if not (is_python or is_config):
         return 0
 
     relative_path = _display_path(path, repo_root)
+
+    if is_config:
+        findings = _scan_added_lines(_added_lines(path, repo_root), CONFIG_PATTERNS)
+        message = _build_config_message(relative_path=relative_path, findings=findings)
+        _emit(message)
+        return 0
+
     before = _sha256(path)
 
     fix = _run(["uv", "run", "ruff", "check", "--fix", str(path)], repo_root)
@@ -43,15 +88,27 @@ def main() -> int:
     after = _sha256(path)
     changed = before != after
 
+    current_codes = _diagnostic_codes(lint, types)
+    previous_codes = _read_previous_codes(repo_root, relative_path)
+    _write_current_codes(repo_root, relative_path, current_codes)
+
+    findings = _scan_added_lines(_added_lines(path, repo_root), SUPPRESSION_PATTERNS)
+
     message = _build_message(
         relative_path=relative_path,
         changed=changed,
-        fix=fix,
-        fmt=fmt,
-        lint=lint,
-        types=types,
+        results=(fix, fmt, lint, types),
+        findings=findings,
+        resolved_codes=sorted(previous_codes - current_codes),
     )
-    if message:
+    _emit(message)
+
+    return 0
+
+
+def _emit(message: str) -> None:
+    if not message:
+        return
     print(
         json.dumps(
             {
@@ -64,8 +121,6 @@ def main() -> int:
         )
     )
 
-    return 0
-
 
 def _read_payload() -> dict[str, object]:
     try:
@@ -111,10 +166,6 @@ def _resolve_path(file_path: str, repo_root: Path) -> Path:
     return path.resolve()
 
 
-def _should_check(path: Path) -> bool:
-    return path.is_file() and path.suffix in PYTHON_SUFFIXES and SKIP_PARTS.isdisjoint(path.parts)
-
-
 def _display_path(path: Path, repo_root: Path) -> str:
     try:
         return str(path.relative_to(repo_root))
@@ -144,14 +195,115 @@ def _command_label(result: subprocess.CompletedProcess[str]) -> str:
     return " ".join(result.args) if isinstance(result.args, list) else str(result.args)
 
 
+def _diagnostic_codes(*results: subprocess.CompletedProcess[str]) -> set[str]:
+    """Extract stable rule identifiers (ty rule names, Ruff codes) from tool output."""
+    codes: set[str] = set()
+    for result in results:
+        for line in _combined_output(result).splitlines():
+            stripped = line.strip()
+            ty_match = TY_DIAGNOSTIC_RE.match(stripped)
+            if ty_match:
+                codes.add(ty_match.group(1))
+                continue
+            ruff_match = RUFF_DIAGNOSTIC_RE.match(stripped)
+            if ruff_match:
+                codes.add(ruff_match.group(1))
+    return codes
+
+
+def _state_path(repo_root: Path) -> Path:
+    return repo_root / STATE_RELATIVE
+
+
+def _read_previous_codes(repo_root: Path, relative_path: str) -> set[str]:
+    try:
+        state = json.loads(_state_path(repo_root).read_text(encoding="utf-8"))
+    except (OSError, json.JSONDecodeError):
+        return set()
+    entry = state.get(relative_path) if isinstance(state, dict) else None
+    if not isinstance(entry, list):
+        return set()
+    return {code for code in entry if isinstance(code, str)}
+
+
+def _write_current_codes(repo_root: Path, relative_path: str, codes: set[str]) -> None:
+    state_path = _state_path(repo_root)
+    try:
+        state = json.loads(state_path.read_text(encoding="utf-8"))
+    except (OSError, json.JSONDecodeError):
+        state = {}
+    if not isinstance(state, dict):
+        state = {}
+
+    if codes:
+        state[relative_path] = sorted(codes)
+    else:
+        state.pop(relative_path, None)
+
+    try:
+        state_path.parent.mkdir(parents=True, exist_ok=True)
+        state_path.write_text(json.dumps(state, indent=2, sort_keys=True), encoding="utf-8")
+    except OSError:
+        pass
+
+
+def _added_lines(path: Path, repo_root: Path) -> list[tuple[int, str]]:
+    """Return (line number, text) for lines this working tree adds over HEAD."""
+    relative_path = _display_path(path, repo_root)
+
+    tracked = _run(["git", "ls-files", "--error-unmatch", "--", relative_path], repo_root)
+    if tracked.returncode != 0:
+        try:
+            text = path.read_text(encoding="utf-8", errors="replace")
+        except OSError:
+            return []
+        return list(enumerate(text.splitlines(), start=1))
+
+    diff = _run(["git", "diff", "-U0", "HEAD", "--", relative_path], repo_root)
+    if diff.returncode != 0:
+        return []
+    return _parse_added_lines(diff.stdout)
+
+
+def _parse_added_lines(diff_text: str) -> list[tuple[int, str]]:
+    added: list[tuple[int, str]] = []
+    lineno = 0
+    for line in diff_text.splitlines():
+        hunk = HUNK_RE.match(line)
+        if hunk:
+            lineno = int(hunk.group(1))
+            continue
+        if line.startswith(("+++", "---")):
+            continue
+        if line.startswith("+"):
+            added.append((lineno, line[1:]))
+            lineno += 1
+        elif not line.startswith("-"):
+            lineno += 1
+    return added
+
+
+def _scan_added_lines(
+    added: list[tuple[int, str]],
+    patterns: tuple[tuple[str, re.Pattern[str]], ...],
+) -> list[str]:
+    findings: list[str] = []
+    seen: set[tuple[int, str]] = set()
+    for lineno, text in added:
+        for category, pattern in patterns:
+            if pattern.search(text) and (lineno, category) not in seen:
+                seen.add((lineno, category))
+                findings.append(f"L{lineno} [{category}]: {text.strip()[:160]}")
+    return findings
+
+
 def _build_message(
     *,
     relative_path: str,
     changed: bool,
-    fix: subprocess.CompletedProcess[str],
-    fmt: subprocess.CompletedProcess[str],
-    lint: subprocess.CompletedProcess[str],
-    types: subprocess.CompletedProcess[str],
+    results: tuple[subprocess.CompletedProcess[str], ...],
+    findings: list[str],
+    resolved_codes: list[str],
 ) -> str:
     lines: list[str] = []
 
@@ -161,14 +313,11 @@ def _build_message(
         )
         lines.append("Read the file before making another manual edit to avoid stale text.")
 
-    for result in (fix, fmt, lint, types):
+    for result in results:
         if result.returncode == 0:
             continue
 
-        output = _combined_output(result)
-        if not output:
-            output = f"Command exited with status {result.returncode}."
-
+        output = _combined_output(result) or f"Command exited with status {result.returncode}."
         lines.extend(
             [
                 "",
@@ -179,8 +328,53 @@ def _build_message(
             ]
         )
 
+    if findings:
+        lines.extend(
+            [
+                "",
+                f"Suppression audit — `{relative_path}` adds these lines over HEAD:",
+                "```text",
+                "\n".join(findings[-60:]),
+                "```",
+                "A silenced diagnostic is not a fixed diagnostic. For each entry: either the",
+                "code as written requires it, or it exists to make a checker pass — and the",
+                "second case hides a bug rather than resolving it. If a checker reported a real",
+                "problem, fix the problem. If you believe the checker is wrong, say so to the",
+                "user instead of suppressing it yourself.",
+            ]
+        )
+
+        if resolved_codes:
+            lines.extend(
+                [
+                    "",
+                    "!! These diagnostics vanished in the same edit that added the markers",
+                    f"   above: {', '.join(resolved_codes)}",
+                    "If any pointed at a genuine logic error, that error is still present and",
+                    "is now merely unreported. Do NOT call this file clean. Tell the user what",
+                    "you changed and why each diagnostic no longer applies.",
+                ]
+            )
+
     return "\n".join(lines).strip()
 
 
+def _build_config_message(*, relative_path: str, findings: list[str]) -> str:
+    if not findings:
+        return ""
+    return "\n".join(
+        [
+            f"Quality-config audit — `{relative_path}` adds these lines over HEAD:",
+            "```text",
+            "\n".join(findings[-60:]),
+            "```",
+            "These lines can disable or downgrade checks across the whole repository, and no",
+            "per-file check runs on this file. Loosening checker configuration is the user's",
+            "decision, not yours: if you changed it to make diagnostics go away, revert it and",
+            "report the diagnostics instead.",
+        ]
+    )
+
+
 if __name__ == "__main__":
     raise SystemExit(main())

.env.example

@@ -0,0 +1,46 @@
+# Application local development environment.
+#
+# Usage:
+#   cp .env.example .env
+#   docker compose -f docker-compose.yml up -d
+#
+# All values below are non-secret local-development defaults matching
+# docker-compose.yml. Do not commit .env.
+
+# Application
+APP_ENV=local
+APP_MAX_UPLOAD_SIZE_MB=25
+APP_READINESS_CHECK_TIMEOUT_SECONDS=2.0
+
+# Logging
+LOG_LEVEL=INFO
+LOG_JSON_FORMAT=false
+
+# Postgres (application database, separate from Langfuse's Postgres)
+# Use 127.0.0.1 rather than localhost: some environments resolve localhost to
+# the IPv6 loopback first, and Docker only publishes these ports on IPv4.
+POSTGRES_HOST=127.0.0.1
+POSTGRES_PORT=5433
+POSTGRES_USER=chatbot
+POSTGRES_PASSWORD=chatbot
+POSTGRES_DB=chatbot
+
+# MinIO (application bucket, separate from Langfuse's MinIO)
+MINIO_ENDPOINT=127.0.0.1:9100
+MINIO_ACCESS_KEY=chatbot
+MINIO_SECRET_KEY=chatbot-secret
+MINIO_SECURE=false
+MINIO_BUCKET=chatbot-source-files
+
+# Inline ingestion bounds (ADR-0017; no broker, no queue).
+# INGESTION_TIMEOUT_SECONDS must stay below any proxy/client read timeout.
+INGESTION_MAX_CONCURRENCY=4
+INGESTION_THREAD_POOL_SIZE=8
+INGESTION_TIMEOUT_SECONDS=120.0
+INGESTION_MAX_CHUNKS_PER_FILE=5000
+INGESTION_EMBED_BATCH_SIZE=128
+INGESTION_EMBED_CONCURRENCY=4
+
+# Qdrant
+QDRANT_URL=http://127.0.0.1:6343
+QDRANT_API_KEY=

.gitignore

@@ -22,3 +22,4 @@ infra/langfuse/.env
 
 # Claude Code local overrides
 .claude/settings.local.json
+.claude/hooks/.quality_state.json

CLAUDE.md

@@ -0,0 +1,229 @@
+# CLAUDE.md
+
+This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
+
+## Project status
+
+This repo is currently ADR-driven and mostly pre-implementation: `src/` contains
+only an empty `main.py`/`config.py` scaffold and empty `api/routers`,
+`api/dependencies`, `db`, and `schemas` directories. Architecture decisions live
+in `docs/adr/` (17 ADRs plus the 0000 template; 0001–0004 are `Accepted`,
+0014 is `Superseded by 0017`, and the rest — 0005–0013 and 0015–0017 — are
+`Proposed`). Implementation plans live in `docs/plans/`:
+`001-ingestion-vertical-slice.md` and
+`002-point-crud-and-keyword-search.md`. **Read the relevant
+ADR(s) before implementing anything** — the ADRs are the source of truth for
+package layout, boundaries, and invariants; code should not silently diverge
+from them. If an ADR needs to change to fit new work, update the ADR rather
+than quietly contradicting it.
+
+## Commands
+
+Package manager is `uv`; Python 3.13.
+
+```bash
+uv sync                                   # install deps
+uv run ruff check --fix <path>            # lint (autofix)
+uv run ruff format <path>                 # format
+uv run ty check <path>                    # type check
+uv run pytest                             # run tests
+uv run pytest -m unit                     # fast, no external services (default dev loop)
+uv run pytest -m "integration and postgres"   # a single integration boundary
+uv run pytest tests/path/to/test_file.py::test_name   # single test
+uv run alembic upgrade head               # apply migrations (never create_all() at runtime)
+uv run fastapi dev src/main.py            # run the API locally (once main.py exists)
+```
+
+A PostToolUse hook (`.claude/hooks/python_quality.py`) already runs
+`ruff check --fix`, `ruff format`, `ruff check`, and `ty check` on every
+Python file you Write/Edit and reports remaining diagnostics back to you —
+you don't need to run these manually after every edit, but do run the full
+suite before considering a task done.
+
+### Never silence a diagnostic
+
+A `ty`/Ruff diagnostic is frequently a real bug — most often the checker is
+right and the code is wrong. **Do not make a diagnostic go away by any means
+other than correcting the code it points at.** Specifically, never do the
+following to get a clean check:
+
+- add `# ty: ignore`, `# type: ignore`, `# noqa`, or `# pragma: no cover`
+- widen a type to `Any`, or wrap a value in `cast(...)`
+- replace `x.attr` with `getattr(x, "attr")`, wrap the call in
+  `except Exception`, or otherwise restructure code so the checker can no
+  longer see the problem
+- edit `[tool.ty.rules]`, `[[tool.ty.overrides]]`, `[tool.ruff.lint]`
+  `ignore`/`per-file-ignores`, or any `exclude` in `pyproject.toml`/`ty.toml`/
+  `ruff.toml` — checker configuration is the user's decision, not yours
+- delete or skip a failing test, or narrow its assertions
+
+If a dependency is missing, add it (`uv add`). If a third-party package genuinely
+ships no types, say so and let the user decide on a scoped override. **If you
+believe a diagnostic is a false positive, stop and tell the user — do not
+suppress it yourself.** That claim is exactly the case where silencing is most
+expensive, so it is theirs to confirm.
+
+The hook audits every edit for these patterns and reports them, including on
+config files. If it flags a line you added, either justify it explicitly in your
+reply or revert it — never leave it unmentioned, and never describe a file as
+clean when its diagnostics were suppressed rather than fixed.
+
+Local Langfuse (observability) stack: `docker compose --env-file .env.langfuse -f docker-compose.langfuse.yml up -d`, UI at `http://localhost:3000` (see README.md).
+
+## Architecture
+
+This is a **modular monolith** (ADR-0015) backing a tenant-scoped RAG chatbot.
+Today it is a **single process with no background work**: ingestion runs inline
+in the `POST /v1/files` request and returns a terminal result (ADR-0017). There
+is no message broker, no transactional outbox, no queue, and no worker process —
+ADR-0014 describes that design and is deferred, not deleted.
+
+### Package layout (target shape, created as needed)
+
+```
+src/
+├── bootstrap/        # per-process composition: lifespan, dependency wiring
+├── api/               # FastAPI HTTP adapter only (routers/, dependencies/, schemas/, router.py)
+├── application/       # use-case services: files/, ingestion/, points/, retrieval/, threads/, ports/
+├── agent/             # LangGraph graph.py, state.py, nodes/, prompts/, tools/, persistence.py
+└── infrastructure/    # concrete adapters: postgres/, qdrant/, minio/, embedding/, langgraph/, observability/
+```
+
+`messaging/`, `workers/`, and `infrastructure/rabbitmq/` belong to the ADR-0014
+target shape and are **not created** while ADR-0017 stands. The FastAPI route is
+the only entry adapter; it calls `application/ingestion/` directly.
+
+Dependency direction is one-way and enforced by convention, not tooling:
+
+```
+FastAPI routes / LangGraph nodes
+  -> application services -> application ports -> infrastructure adapters
+```
+
+Infrastructure never imports routers/graph nodes; LangGraph nodes never call route functions or construct SDK
+clients directly; application services never import concrete
+MinIO/Qdrant/SQLAlchemy client-construction code. Use ports only for
+external side effects/persistence — not around pure local functions.
+(ADR-0015)
+
+### Resource lifetime rules (ADR-0012)
+
+- Application-lifetime objects (SQLAlchemy engine/sessionmaker, Qdrant client,
+  LangGraph checkpointer/store, compiled graph, shared HTTP/model/embedding
+  clients, the ingestion `CapacityLimiter`) are created once in the FastAPI
+  lifespan and closed there. Never construct mutable network/DB clients at
+  import time.
+- One `AsyncSession` per request/job unit of work — never shared globally.
+- Routes/application services own transaction boundaries (explicit
+  `commit()`); repositories don't commit/rollback/close sessions they didn't
+  create.
+- Lower layers receive dependencies as explicit parameters, not via imported
+  singletons — this is what makes FastAPI dependency overrides and test
+  fixtures work.
+
+### Ingestion flow (the first vertical slice, ADR-0017 + plan 001)
+
+Ingestion is **inline in the request**, in three phases — and the phase
+boundaries are the point:
+
+```
+txn A (short):  auth+tenant -> validate -> insert source_files,
+                ingestion_jobs(status=running) -> COMMIT, release connection
+no txn:         store bytes in MinIO -> parse+chunk (threads) ->
+                embed dense+sparse (async, batched, semaphore-bounded) ->
+                upsert Qdrant points (deterministic ids)
+txn B (short):  ingestion_jobs -> succeeded/failed + counters,
+                append ingestion_job_events -> COMMIT
+201 Created { file_id, ingestion_job_id, status, chunks_indexed }
+```
+
+**Never hold a Postgres session/transaction open across the work phase** — it
+pins a pool connection for the whole upload. `ingestion_jobs` is a record of an
+attempt, not a queue.
+
+Work placement is not optional:
+- **Async + batched + `asyncio.Semaphore`**: dense embedders (network I/O; batch
+  before parallelizing, never an unbounded `gather`), Qdrant upserts.
+- **`anyio.to_thread.run_sync` + `CapacityLimiter`**: `python-docx`/`csv`
+  parsing, chunking, hashing, the BM25 sparse pipeline, the sync `minio` SDK.
+  Calling these from `async def` directly is a defect — one big parse stalls
+  every concurrent request.
+- **Not computed at ingest**: `late_interaction` (jina-colbert-v2, GPU).
+  Populating it is the trigger to move ingestion back off the request.
+
+Bounds are enforced server-side and all have status codes: size/chunk ceiling
+`413`, `INGESTION_MAX_CONCURRENCY` `503`, `INGESTION_TIMEOUT_SECONDS` `504`,
+embedder failure `502`. A timeout must still write a terminal job status.
+Retried uploads must be safe: deterministic point IDs, `(tenant_id, domain,
+content_sha256)` idempotency, no terminal job returning to `running`.
+
+### Retrieval / agent (ADR-0001, 0003, 0005, 0006, 0007)
+
+- Single Qdrant collection `chunks`, shared across tenants, with named vectors
+  `dense_nomic` (nomic-embed-text-v2-moe), `dense_openai`, `sparse` (BM25,
+  Farsi-tuned), and `late_interaction` (jina-colbert-v2, rerank-only, on-disk).
+  Multitenancy via Qdrant's `is_tenant` payload index on `tenant_id`, `m: 0` +
+  `payload_m: 16` HNSW config — every query/prefetch carries a server-derived
+  `tenant_id`/`domain` filter, never client-supplied.
+- Retrieval = 3 parallel prefetches (dense_nomic, dense_openai, sparse) → RRF
+  fusion → late-interaction rerank over the fused top-N only (bounded cost) →
+  context-window expansion via `previous_chunk_id`/`next_chunk_id` pointers.
+- Conversational agent is an explicit LangGraph `StateGraph` (not a prebuilt
+  tool-calling agent): `load_memory -> triage -> {chitchat|out_of_scope|
+  handoff_request|account|knowledge->contextualize->retrieve->grade->
+  {clarify|generate->verify}} -> write_memory`. Escalation and retry-budget
+  policy are graph edges, not model discretion; `generate` answers only from
+  retrieved chunks with per-claim citations; `verify` checks groundedness.
+- LangGraph persistence: single `AsyncPostgresSaver` backed by one
+  `psycopg_pool.AsyncConnectionPool`, graph compiled once at startup.
+  `.setup()` (DDL) runs as a deployment step, never at app startup. The
+  LangGraph `thread_id` **is** the conversation identifier this service
+  knows — no separate thread/session table; this service stores no
+  conversation metadata beyond the checkpoint sequence.
+
+### Postgres conventions (ADR-0009)
+
+UUID primary keys (app-generated), `timestamptz` for all timestamps,
+`Numeric(18, 8)` for money (never floats), `JSONB` for flexible metadata but
+typed/indexed columns for query-critical fields, string status columns with
+`CHECK` constraints (not native Postgres enums — they're painful to migrate).
+`metadata` column maps to a `metadata_` attribute (reserved name on
+Declarative models). All DDL goes through Alembic; FastAPI never creates or
+alters tables at startup.
+
+### Observability (ADR-0010, 0011)
+
+Langfuse is the observability/evaluation plane (traces, prompt versions,
+datasets/experiments, user feedback) — it is not the transactional database.
+Postgres remains system of record for tenants, API keys, audit, jobs,
+`graph_runs`, `llm_calls`/`llm_pricing`. Correlate the two via `request_id`,
+`tenant_id`, `thread_id`, `run_id`. Use `structlog` with stable event names
+and structured fields (`logger.info("graph.run.completed", ...)`), not
+interpolated prose; JSON logs by default in production.
+
+## Testing (ADR-0016)
+
+- pytest, `pytest-asyncio` strict mode, `httpx.AsyncClient` + `ASGITransport`
+  + `LifespanManager` for API tests (not `TestClient`) so lifespan/ADR-0012
+  wiring is actually exercised.
+- One primary marker per test: `unit`, `integration`, or `e2e`; integration
+  tests also carry `postgres`/`minio`/`qdrant`; `live_provider` for
+  opt-in credential-gated external calls (never in routine runs); `slow` only
+  when materially over the normal integration budget.
+- Test naming: `test_<unit>_<scenario>_<outcome>`, Arrange–Act–Assert.
+- Layout mirrors architecture: `tests/unit/{application,agent}`,
+  `tests/integration/{postgres,minio,qdrant}`, `tests/e2e/`.
+- Integration tests use **Testcontainers** (never a developer's local
+  services or Langfuse-owned storage/credentials) — this is the standard
+  automated mechanism, not Docker Compose. Isolate data per test via unique
+  keys/queue/collection names; parallel integration execution is disabled
+  until fixture isolation is proven safe.
+- Pytest never calls a live/paid model provider in routine runs — that's
+  Langfuse's job (dataset experiments), not pytest's. Migrations are always
+  tested through real Alembic upgrade, never `Base.metadata.create_all()`.
+- Invariants worth testing explicitly wherever they apply: tenant identity
+  only from server-side auth context (never request-suppliable); cross-tenant
+  access returns 404, not 403; the file + job row commit atomically before the
+  work phase; no session is held across parse/embed/upsert; a timeout or failure
+  always writes a terminal job status; retrying an upload must not duplicate
+  chunks or regress terminal job state.

alembic.ini

@@ -0,0 +1,149 @@
+# A generic, single database configuration.
+
+[alembic]
+# path to migration scripts.
+# this is typically a path given in POSIX (e.g. forward slashes)
+# format, relative to the token %(here)s which refers to the location of this
+# ini file
+script_location = %(here)s/alembic
+
+# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s
+# Uncomment the line below if you want the files to be prepended with date and time
+# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file
+# for all available tokens
+# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s
+# Or organize into date-based subdirectories (requires recursive_version_locations = true)
+# file_template = %%(year)d/%%(month).2d/%%(day).2d_%%(hour).2d%%(minute).2d_%%(second).2d_%%(rev)s_%%(slug)s
+
+# sys.path path, will be prepended to sys.path if present.
+# defaults to the current working directory.  for multiple paths, the path separator
+# is defined by "path_separator" below.
+prepend_sys_path = .
+
+# timezone to use when rendering the date within the migration file
+# as well as the filename.
+# If specified, requires the tzdata library which can be installed by adding
+# `alembic[tz]` to the pip requirements.
+# string value is passed to ZoneInfo()
+# leave blank for localtime
+# timezone =
+
+# max length of characters to apply to the "slug" field
+# truncate_slug_length = 40
+
+# set to 'true' to run the environment during
+# the 'revision' command, regardless of autogenerate
+# revision_environment = false
+
+# set to 'true' to allow .pyc and .pyo files without
+# a source .py file to be detected as revisions in the
+# versions/ directory
+# sourceless = false
+
+# version location specification; This defaults
+# to <script_location>/versions.  When using multiple version
+# directories, initial revisions must be specified with --version-path.
+# The path separator used here should be the separator specified by "path_separator"
+# below.
+# version_locations = %(here)s/bar:%(here)s/bat:%(here)s/alembic/versions
+
+# path_separator; This indicates what character is used to split lists of file
+# paths, including version_locations and prepend_sys_path within configparser
+# files such as alembic.ini.
+# The default rendered in new alembic.ini files is "os", which uses os.pathsep
+# to provide os-dependent path splitting.
+#
+# Note that in order to support legacy alembic.ini files, this default does NOT
+# take place if path_separator is not present in alembic.ini.  If this
+# option is omitted entirely, fallback logic is as follows:
+#
+# 1. Parsing of the version_locations option falls back to using the legacy
+#    "version_path_separator" key, which if absent then falls back to the legacy
+#    behavior of splitting on spaces and/or commas.
+# 2. Parsing of the prepend_sys_path option falls back to the legacy
+#    behavior of splitting on spaces, commas, or colons.
+#
+# Valid values for path_separator are:
+#
+# path_separator = :
+# path_separator = ;
+# path_separator = space
+# path_separator = newline
+#
+# Use os.pathsep. Default configuration used for new projects.
+path_separator = os
+
+
+# set to 'true' to search source files recursively
+# in each "version_locations" directory
+# new in Alembic version 1.10
+# recursive_version_locations = false
+
+# the output encoding used when revision files
+# are written from script.py.mako
+# output_encoding = utf-8
+
+# database URL.  This is consumed by the user-maintained env.py script only.
+# other means of configuring database URLs may be customized within the env.py
+# file.
+sqlalchemy.url = driver://user:pass@localhost/dbname
+
+
+[post_write_hooks]
+# post_write_hooks defines scripts or Python functions that are run
+# on newly generated revision scripts.  See the documentation for further
+# detail and examples
+
+# format using "black" - use the console_scripts runner, against the "black" entrypoint
+# hooks = black
+# black.type = console_scripts
+# black.entrypoint = black
+# black.options = -l 79 REVISION_SCRIPT_FILENAME
+
+# lint with attempts to fix using "ruff" - use the module runner, against the "ruff" module
+# hooks = ruff
+# ruff.type = module
+# ruff.module = ruff
+# ruff.options = check --fix REVISION_SCRIPT_FILENAME
+
+# Alternatively, use the exec runner to execute a binary found on your PATH
+# hooks = ruff
+# ruff.type = exec
+# ruff.executable = ruff
+# ruff.options = check --fix REVISION_SCRIPT_FILENAME
+
+# Logging configuration.  This is also consumed by the user-maintained
+# env.py script only.
+[loggers]
+keys = root,sqlalchemy,alembic
+
+[handlers]
+keys = console
+
+[formatters]
+keys = generic
+
+[logger_root]
+level = WARNING
+handlers = console
+qualname =
+
+[logger_sqlalchemy]
+level = WARNING
+handlers =
+qualname = sqlalchemy.engine
+
+[logger_alembic]
+level = INFO
+handlers =
+qualname = alembic
+
+[handler_console]
+class = StreamHandler
+args = (sys.stderr,)
+level = NOTSET
+formatter = generic
+
+[formatter_generic]
+format = %(levelname)-5.5s [%(name)s] %(message)s
+datefmt = %H:%M:%S

alembic/README

@@ -0,0 +1 @@
+Generic single-database configuration with an async dbapi.

alembic/env.py

@@ -0,0 +1,86 @@
+import asyncio
+from logging.config import fileConfig
+
+from sqlalchemy import pool
+from sqlalchemy.engine import Connection
+from sqlalchemy.ext.asyncio import async_engine_from_config
+
+from alembic import context
+from src.config import Settings
+from src.infrastructure.postgres.models import Base
+
+# this is the Alembic Config object, which provides
+# access to the values within the .ini file in use.
+config = context.config
+
+# Interpret the config file for Python logging.
+# This line sets up loggers basically.
+if config.config_file_name is not None:
+    fileConfig(config.config_file_name)
+
+# Application models' MetaData, used for 'autogenerate' support. The database
+# URL is likewise sourced from application settings, not alembic.ini, so both
+# migrations and the app read the same env-derived configuration (ADR-0009).
+target_metadata = Base.metadata
+config.set_main_option("sqlalchemy.url", Settings().postgres.dsn)
+
+
+def run_migrations_offline() -> None:
+    """Run migrations in 'offline' mode.
+
+    This configures the context with just a URL
+    and not an Engine, though an Engine is acceptable
+    here as well.  By skipping the Engine creation
+    we don't even need a DBAPI to be available.
+
+    Calls to context.execute() here emit the given string to the
+    script output.
+
+    """
+    url = config.get_main_option("sqlalchemy.url")
+    context.configure(
+        url=url,
+        target_metadata=target_metadata,
+        literal_binds=True,
+        dialect_opts={"paramstyle": "named"},
+    )
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+def do_run_migrations(connection: Connection) -> None:
+    context.configure(connection=connection, target_metadata=target_metadata)
+
+    with context.begin_transaction():
+        context.run_migrations()
+
+
+async def run_async_migrations() -> None:
+    """In this scenario we need to create an Engine
+    and associate a connection with the context.
+
+    """
+
+    connectable = async_engine_from_config(
+        config.get_section(config.config_ini_section, {}),
+        prefix="sqlalchemy.",
+        poolclass=pool.NullPool,
+    )
+
+    async with connectable.connect() as connection:
+        await connection.run_sync(do_run_migrations)
+
+    await connectable.dispose()
+
+
+def run_migrations_online() -> None:
+    """Run migrations in 'online' mode."""
+
+    asyncio.run(run_async_migrations())
+
+
+if context.is_offline_mode():
+    run_migrations_offline()
+else:
+    run_migrations_online()

alembic/script.py.mako

@@ -0,0 +1,28 @@
+"""${message}
+
+Revision ID: ${up_revision}
+Revises: ${down_revision | comma,n}
+Create Date: ${create_date}
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+${imports if imports else ""}
+
+# revision identifiers, used by Alembic.
+revision: str = ${repr(up_revision)}
+down_revision: Union[str, Sequence[str], None] = ${repr(down_revision)}
+branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)}
+depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    ${upgrades if upgrades else "pass"}
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    ${downgrades if downgrades else "pass"}

alembic/versions/bfc6c81c2542_create_tenants_api_keys_source_files_.py

@@ -0,0 +1,156 @@
+"""create tenants, api_keys, source_files, ingestion_jobs, ingestion_job_events
+
+Revision ID: bfc6c81c2542
+Revises: 
+Create Date: 2026-08-16 11:39:02.649094
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+from sqlalchemy.dialects import postgresql
+
+# revision identifiers, used by Alembic.
+revision: str = 'bfc6c81c2542'
+down_revision: Union[str, Sequence[str], None] = None
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Upgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.create_table('tenants',
+    sa.Column('id', sa.Uuid(), nullable=False),
+    sa.Column('slug', sa.String(length=80), nullable=False),
+    sa.Column('name', sa.String(length=200), nullable=False),
+    sa.Column('status', sa.String(length=20), server_default='active', nullable=False),
+    sa.Column('settings', postgresql.JSONB(astext_type=sa.Text()), server_default='{}', nullable=False),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.Column('deleted_at', sa.DateTime(timezone=True), nullable=True),
+    sa.CheckConstraint("status IN ('active', 'suspended', 'deleted')", name='ck_tenants_status'),
+    sa.PrimaryKeyConstraint('id')
+    )
+    op.create_index(op.f('ix_tenants_slug'), 'tenants', ['slug'], unique=True)
+    op.create_table('api_keys',
+    sa.Column('id', sa.Uuid(), nullable=False),
+    sa.Column('tenant_id', sa.Uuid(), nullable=False),
+    sa.Column('name', sa.String(length=200), nullable=False),
+    sa.Column('key_prefix', sa.String(length=32), nullable=False),
+    sa.Column('key_hash', sa.String(length=255), nullable=False),
+    sa.Column('scopes', postgresql.JSONB(astext_type=sa.Text()), server_default='[]', nullable=False),
+    sa.Column('actor_type', sa.String(length=20), server_default='backend', nullable=False),
+    sa.Column('status', sa.String(length=20), server_default='active', nullable=False),
+    sa.Column('expires_at', sa.DateTime(timezone=True), nullable=True),
+    sa.Column('revoked_at', sa.DateTime(timezone=True), nullable=True),
+    sa.Column('last_used_at', sa.DateTime(timezone=True), nullable=True),
+    sa.Column('created_by', sa.String(length=200), nullable=True),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.CheckConstraint("actor_type IN ('backend', 'admin', 'worker')", name='ck_api_keys_actor_type'),
+    sa.CheckConstraint("status IN ('active', 'revoked', 'expired')", name='ck_api_keys_status'),
+    sa.ForeignKeyConstraint(['tenant_id'], ['tenants.id'], ondelete='CASCADE'),
+    sa.PrimaryKeyConstraint('id')
+    )
+    op.create_index(op.f('ix_api_keys_key_prefix'), 'api_keys', ['key_prefix'], unique=True)
+    op.create_index(op.f('ix_api_keys_tenant_id'), 'api_keys', ['tenant_id'], unique=False)
+    op.create_index('ix_api_keys_tenant_id_status', 'api_keys', ['tenant_id', 'status'], unique=False)
+    op.create_table('source_files',
+    sa.Column('id', sa.Uuid(), nullable=False),
+    sa.Column('tenant_id', sa.Uuid(), nullable=False),
+    sa.Column('domain', sa.String(length=80), nullable=False),
+    sa.Column('source_filename', sa.String(length=500), nullable=False),
+    sa.Column('source_type', sa.String(length=10), nullable=False),
+    sa.Column('content_sha256', sa.String(length=64), nullable=False),
+    sa.Column('byte_size', sa.BigInteger(), nullable=False),
+    sa.Column('storage_uri', sa.String(length=1000), nullable=True),
+    sa.Column('status', sa.String(length=20), server_default='active', nullable=False),
+    sa.Column('created_by_api_key_id', sa.Uuid(), nullable=True),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.Column('deleted_at', sa.DateTime(timezone=True), nullable=True),
+    sa.CheckConstraint("source_type IN ('csv', 'xlsx', 'docx', 'doc')", name='ck_source_files_source_type'),
+    sa.CheckConstraint("status IN ('active', 'superseded', 'soft_deleted', 'purged')", name='ck_source_files_status'),
+    sa.ForeignKeyConstraint(['created_by_api_key_id'], ['api_keys.id'], ondelete='SET NULL'),
+    sa.ForeignKeyConstraint(['tenant_id'], ['tenants.id'], ondelete='CASCADE'),
+    sa.PrimaryKeyConstraint('id')
+    )
+    op.create_index(op.f('ix_source_files_tenant_id'), 'source_files', ['tenant_id'], unique=False)
+    op.create_index('ix_source_files_tenant_id_content_sha256', 'source_files', ['tenant_id', 'content_sha256'], unique=False)
+    op.create_index('ix_source_files_tenant_id_domain_created_at', 'source_files', ['tenant_id', 'domain', 'created_at'], unique=False)
+    op.create_table('ingestion_jobs',
+    sa.Column('id', sa.Uuid(), nullable=False),
+    sa.Column('tenant_id', sa.Uuid(), nullable=False),
+    sa.Column('source_file_id', sa.Uuid(), nullable=False),
+    sa.Column('requested_by_api_key_id', sa.Uuid(), nullable=True),
+    sa.Column('status', sa.String(length=20), server_default='queued', nullable=False),
+    sa.Column('chunking_strategy', sa.String(length=20), nullable=True),
+    sa.Column('embedding_model_versions', postgresql.JSONB(astext_type=sa.Text()), server_default='{}', nullable=False),
+    sa.Column('started_at', sa.DateTime(timezone=True), nullable=True),
+    sa.Column('completed_at', sa.DateTime(timezone=True), nullable=True),
+    sa.Column('points_created', sa.Integer(), server_default='0', nullable=False),
+    sa.Column('points_updated', sa.Integer(), server_default='0', nullable=False),
+    sa.Column('points_soft_deleted', sa.Integer(), server_default='0', nullable=False),
+    sa.Column('points_skipped', sa.Integer(), server_default='0', nullable=False),
+    sa.Column('error_code', sa.String(length=100), nullable=True),
+    sa.Column('error_message', sa.Text(), nullable=True),
+    sa.Column('metadata', postgresql.JSONB(astext_type=sa.Text()), server_default='{}', nullable=False),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.Column('updated_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.CheckConstraint("chunking_strategy IN ('semantic', 'fixed_size')", name='ck_ingestion_jobs_chunking_strategy'),
+    sa.CheckConstraint("status IN ('queued', 'running', 'succeeded', 'failed', 'cancelled')", name='ck_ingestion_jobs_status'),
+    sa.ForeignKeyConstraint(['requested_by_api_key_id'], ['api_keys.id'], ondelete='SET NULL'),
+    sa.ForeignKeyConstraint(['source_file_id'], ['source_files.id'], ondelete='CASCADE'),
+    sa.ForeignKeyConstraint(['tenant_id'], ['tenants.id'], ondelete='CASCADE'),
+    sa.PrimaryKeyConstraint('id')
+    )
+    op.create_index(op.f('ix_ingestion_jobs_source_file_id'), 'ingestion_jobs', ['source_file_id'], unique=False)
+    op.create_index('ix_ingestion_jobs_source_file_id_created_at', 'ingestion_jobs', ['source_file_id', 'created_at'], unique=False)
+    op.create_index(op.f('ix_ingestion_jobs_tenant_id'), 'ingestion_jobs', ['tenant_id'], unique=False)
+    op.create_index('ix_ingestion_jobs_tenant_id_status_created_at', 'ingestion_jobs', ['tenant_id', 'status', 'created_at'], unique=False)
+    op.create_table('ingestion_job_events',
+    sa.Column('id', sa.Uuid(), nullable=False),
+    sa.Column('tenant_id', sa.Uuid(), nullable=False),
+    sa.Column('ingestion_job_id', sa.Uuid(), nullable=False),
+    sa.Column('level', sa.String(length=10), nullable=False),
+    sa.Column('stage', sa.String(length=20), nullable=False),
+    sa.Column('message', sa.String(length=1000), nullable=False),
+    sa.Column('details', postgresql.JSONB(astext_type=sa.Text()), server_default='{}', nullable=False),
+    sa.Column('created_at', sa.DateTime(timezone=True), server_default=sa.text('now()'), nullable=False),
+    sa.CheckConstraint("level IN ('info', 'warning', 'error')", name='ck_ingestion_job_events_level'),
+    sa.CheckConstraint("stage IN ('received', 'parsed', 'chunked', 'embedded', 'upserted', 'completed')", name='ck_ingestion_job_events_stage'),
+    sa.ForeignKeyConstraint(['ingestion_job_id'], ['ingestion_jobs.id'], ondelete='CASCADE'),
+    sa.ForeignKeyConstraint(['tenant_id'], ['tenants.id'], ondelete='CASCADE'),
+    sa.PrimaryKeyConstraint('id')
+    )
+    op.create_index(op.f('ix_ingestion_job_events_ingestion_job_id'), 'ingestion_job_events', ['ingestion_job_id'], unique=False)
+    op.create_index('ix_ingestion_job_events_ingestion_job_id_created_at', 'ingestion_job_events', ['ingestion_job_id', 'created_at'], unique=False)
+    op.create_index(op.f('ix_ingestion_job_events_tenant_id'), 'ingestion_job_events', ['tenant_id'], unique=False)
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    """Downgrade schema."""
+    # ### commands auto generated by Alembic - please adjust! ###
+    op.drop_index(op.f('ix_ingestion_job_events_tenant_id'), table_name='ingestion_job_events')
+    op.drop_index('ix_ingestion_job_events_ingestion_job_id_created_at', table_name='ingestion_job_events')
+    op.drop_index(op.f('ix_ingestion_job_events_ingestion_job_id'), table_name='ingestion_job_events')
+    op.drop_table('ingestion_job_events')
+    op.drop_index('ix_ingestion_jobs_tenant_id_status_created_at', table_name='ingestion_jobs')
+    op.drop_index(op.f('ix_ingestion_jobs_tenant_id'), table_name='ingestion_jobs')
+    op.drop_index('ix_ingestion_jobs_source_file_id_created_at', table_name='ingestion_jobs')
+    op.drop_index(op.f('ix_ingestion_jobs_source_file_id'), table_name='ingestion_jobs')
+    op.drop_table('ingestion_jobs')
+    op.drop_index('ix_source_files_tenant_id_domain_created_at', table_name='source_files')
+    op.drop_index('ix_source_files_tenant_id_content_sha256', table_name='source_files')
+    op.drop_index(op.f('ix_source_files_tenant_id'), table_name='source_files')
+    op.drop_table('source_files')
+    op.drop_index('ix_api_keys_tenant_id_status', table_name='api_keys')
+    op.drop_index(op.f('ix_api_keys_tenant_id'), table_name='api_keys')
+    op.drop_index(op.f('ix_api_keys_key_prefix'), table_name='api_keys')
+    op.drop_table('api_keys')
+    op.drop_index(op.f('ix_tenants_slug'), table_name='tenants')
+    op.drop_table('tenants')
+    # ### end Alembic commands ###

docker-compose.langfuse.yml

@@ -0,0 +1,198 @@
+# Development/staging Langfuse v4 Docker Compose stack.
+#
+# Based on the official Langfuse Docker Compose deployment:
+# https://langfuse.com/self-hosting/deployment/docker-compose
+#
+# This file is intentionally separate from the future application compose file.
+# Run it alone for Langfuse-only development, or combine it with the app stack:
+#
+#   docker compose \
+#     -f docker-compose.yml \
+#     -f docker-compose.langfuse.yml \
+#     --env-file .env \
+#     --env-file .env.langfuse \
+#     up -d
+#
+# If the chatbot app runs in the same Compose project/network, configure it with:
+#   LANGFUSE_HOST=http://langfuse-web:3000
+# If the chatbot app runs directly on the host machine, configure it with:
+#   LANGFUSE_HOST=http://localhost:3000
+#
+# Do not use this compose stack as-is for high-availability production.
+services:
+  langfuse-worker:
+    image: docker.io/langfuse/langfuse-worker:4
+    restart: always
+    depends_on: &langfuse-depends-on
+      langfuse-postgres:
+        condition: service_healthy
+      langfuse-minio:
+        condition: service_healthy
+      langfuse-redis:
+        condition: service_healthy
+      langfuse-clickhouse:
+        condition: service_healthy
+    ports:
+      - 127.0.0.1:${LANGFUSE_WORKER_PORT:-3030}:3030
+    environment: &langfuse-worker-env
+      NEXTAUTH_URL: ${LANGFUSE_NEXTAUTH_URL:-http://localhost:3000}
+      DATABASE_URL: postgresql://${LANGFUSE_POSTGRES_USER:-postgres}:${LANGFUSE_POSTGRES_PASSWORD:-postgres}@langfuse-postgres:5432/${LANGFUSE_POSTGRES_DB:-postgres}
+      SALT: ${LANGFUSE_SALT:-mysalt} # CHANGEME
+      ENCRYPTION_KEY: ${LANGFUSE_ENCRYPTION_KEY:-0000000000000000000000000000000000000000000000000000000000000000} # CHANGEME: generate via `openssl rand -hex 32`
+      TELEMETRY_ENABLED: ${LANGFUSE_TELEMETRY_ENABLED:-false}
+      LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES: ${LANGFUSE_ENABLE_EXPERIMENTAL_FEATURES:-false}
+      CLICKHOUSE_MIGRATION_URL: clickhouse://langfuse-clickhouse:9000
+      CLICKHOUSE_URL: http://langfuse-clickhouse:8123
+      CLICKHOUSE_USER: ${LANGFUSE_CLICKHOUSE_USER:-clickhouse}
+      CLICKHOUSE_PASSWORD: ${LANGFUSE_CLICKHOUSE_PASSWORD:-clickhouse} # CHANGEME
+      CLICKHOUSE_CLUSTER_ENABLED: ${LANGFUSE_CLICKHOUSE_CLUSTER_ENABLED:-false}
+      LANGFUSE_USE_AZURE_BLOB: ${LANGFUSE_USE_AZURE_BLOB:-false}
+      LANGFUSE_USE_OCI_NATIVE_OBJECT_STORAGE: ${LANGFUSE_USE_OCI_NATIVE_OBJECT_STORAGE:-false}
+      LANGFUSE_OCI_AUTH_TYPE: ${LANGFUSE_OCI_AUTH_TYPE:-workload_identity}
+      LANGFUSE_S3_EVENT_UPLOAD_BUCKET: ${LANGFUSE_S3_EVENT_UPLOAD_BUCKET:-langfuse}
+      LANGFUSE_S3_EVENT_UPLOAD_REGION: ${LANGFUSE_S3_EVENT_UPLOAD_REGION:-auto}
+      LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID: ${LANGFUSE_S3_EVENT_UPLOAD_ACCESS_KEY_ID:-minio}
+      LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY: ${LANGFUSE_S3_EVENT_UPLOAD_SECRET_ACCESS_KEY:-miniosecret} # CHANGEME
+      LANGFUSE_S3_EVENT_UPLOAD_ENDPOINT: http://langfuse-minio:9000
+      LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE: ${LANGFUSE_S3_EVENT_UPLOAD_FORCE_PATH_STYLE:-true}
+      LANGFUSE_S3_EVENT_UPLOAD_PREFIX: ${LANGFUSE_S3_EVENT_UPLOAD_PREFIX:-events/}
+      LANGFUSE_S3_MEDIA_UPLOAD_BUCKET: ${LANGFUSE_S3_MEDIA_UPLOAD_BUCKET:-langfuse}
+      LANGFUSE_S3_MEDIA_UPLOAD_REGION: ${LANGFUSE_S3_MEDIA_UPLOAD_REGION:-auto}
+      LANGFUSE_S3_MEDIA_UPLOAD_ACCESS_KEY_ID: ${LANGFUSE_S3_MEDIA_UPLOAD_ACCESS_KEY_ID:-minio}
+      LANGFUSE_S3_MEDIA_UPLOAD_SECRET_ACCESS_KEY: ${LANGFUSE_S3_MEDIA_UPLOAD_SECRET_ACCESS_KEY:-miniosecret} # CHANGEME
+      LANGFUSE_S3_MEDIA_UPLOAD_ENDPOINT: http://langfuse-minio:9000
+      LANGFUSE_S3_MEDIA_UPLOAD_FORCE_PATH_STYLE: ${LANGFUSE_S3_MEDIA_UPLOAD_FORCE_PATH_STYLE:-true}
+      LANGFUSE_S3_MEDIA_UPLOAD_PREFIX: ${LANGFUSE_S3_MEDIA_UPLOAD_PREFIX:-media/}
+      LANGFUSE_OBSERVATION_FIELD_OVERFLOW_ENABLED: ${LANGFUSE_OBSERVATION_FIELD_OVERFLOW_ENABLED:-false}
+      LANGFUSE_OBSERVATION_FIELD_SIZE_LIMIT_BYTES: ${LANGFUSE_OBSERVATION_FIELD_SIZE_LIMIT_BYTES:-2097152}
+      LANGFUSE_S3_BATCH_EXPORT_ENABLED: ${LANGFUSE_S3_BATCH_EXPORT_ENABLED:-false}
+      LANGFUSE_S3_BATCH_EXPORT_BUCKET: ${LANGFUSE_S3_BATCH_EXPORT_BUCKET:-langfuse}
+      LANGFUSE_S3_BATCH_EXPORT_PREFIX: ${LANGFUSE_S3_BATCH_EXPORT_PREFIX:-exports/}
+      LANGFUSE_S3_BATCH_EXPORT_REGION: ${LANGFUSE_S3_BATCH_EXPORT_REGION:-auto}
+      LANGFUSE_S3_BATCH_EXPORT_ENDPOINT: http://langfuse-minio:9000
+      LANGFUSE_S3_BATCH_EXPORT_EXTERNAL_ENDPOINT: ${LANGFUSE_S3_BATCH_EXPORT_EXTERNAL_ENDPOINT:-http://localhost:9090}
+      LANGFUSE_S3_BATCH_EXPORT_ACCESS_KEY_ID: ${LANGFUSE_S3_BATCH_EXPORT_ACCESS_KEY_ID:-minio}
+      LANGFUSE_S3_BATCH_EXPORT_SECRET_ACCESS_KEY: ${LANGFUSE_S3_BATCH_EXPORT_SECRET_ACCESS_KEY:-miniosecret} # CHANGEME
+      LANGFUSE_S3_BATCH_EXPORT_FORCE_PATH_STYLE: ${LANGFUSE_S3_BATCH_EXPORT_FORCE_PATH_STYLE:-true}
+      LANGFUSE_INGESTION_QUEUE_DELAY_MS: ${LANGFUSE_INGESTION_QUEUE_DELAY_MS:-}
+      LANGFUSE_INGESTION_CLICKHOUSE_WRITE_INTERVAL_MS: ${LANGFUSE_INGESTION_CLICKHOUSE_WRITE_INTERVAL_MS:-}
+      REDIS_HOST: langfuse-redis
+      REDIS_PORT: ${LANGFUSE_REDIS_PORT:-6379}
+      REDIS_AUTH: ${LANGFUSE_REDIS_AUTH:-myredissecret} # CHANGEME
+      LANGFUSE_BULLMQ_SKIP_REDIS_VERSION_CHECK: ${LANGFUSE_BULLMQ_SKIP_REDIS_VERSION_CHECK:-false}
+      REDIS_TLS_ENABLED: ${LANGFUSE_REDIS_TLS_ENABLED:-false}
+      REDIS_TLS_CA: ${LANGFUSE_REDIS_TLS_CA:-/certs/ca.crt}
+      REDIS_TLS_CERT: ${LANGFUSE_REDIS_TLS_CERT:-/certs/redis.crt}
+      REDIS_TLS_KEY: ${LANGFUSE_REDIS_TLS_KEY:-/certs/redis.key}
+      EMAIL_FROM_ADDRESS: ${LANGFUSE_EMAIL_FROM_ADDRESS:-}
+      SMTP_CONNECTION_URL: ${LANGFUSE_SMTP_CONNECTION_URL:-}
+
+  langfuse-web:
+    image: docker.io/langfuse/langfuse:4
+    restart: always
+    depends_on: *langfuse-depends-on
+    ports:
+      - ${LANGFUSE_WEB_PORT:-3000}:3000
+    environment:
+      <<: *langfuse-worker-env
+      NEXTAUTH_SECRET: ${LANGFUSE_NEXTAUTH_SECRET:-mysecret} # CHANGEME
+      # This value is used by browser-facing media upload flows and must be
+      # reachable from the browser, not just from inside the Docker network.
+      LANGFUSE_S3_MEDIA_UPLOAD_ENDPOINT: ${LANGFUSE_S3_MEDIA_UPLOAD_ENDPOINT_PUBLIC:-http://localhost:9090}
+      LANGFUSE_INIT_ORG_ID: ${LANGFUSE_INIT_ORG_ID:-}
+      LANGFUSE_INIT_ORG_NAME: ${LANGFUSE_INIT_ORG_NAME:-}
+      LANGFUSE_INIT_PROJECT_ID: ${LANGFUSE_INIT_PROJECT_ID:-}
+      LANGFUSE_INIT_PROJECT_NAME: ${LANGFUSE_INIT_PROJECT_NAME:-}
+      LANGFUSE_INIT_PROJECT_PUBLIC_KEY: ${LANGFUSE_INIT_PROJECT_PUBLIC_KEY:-}
+      LANGFUSE_INIT_PROJECT_SECRET_KEY: ${LANGFUSE_INIT_PROJECT_SECRET_KEY:-}
+      LANGFUSE_INIT_USER_EMAIL: ${LANGFUSE_INIT_USER_EMAIL:-}
+      LANGFUSE_INIT_USER_NAME: ${LANGFUSE_INIT_USER_NAME:-}
+      LANGFUSE_INIT_USER_PASSWORD: ${LANGFUSE_INIT_USER_PASSWORD:-}
+
+  langfuse-clickhouse:
+    image: docker.io/clickhouse/clickhouse-server:25.12
+    restart: always
+    user: "101:101"
+    environment:
+      CLICKHOUSE_DB: default
+      CLICKHOUSE_USER: ${LANGFUSE_CLICKHOUSE_USER:-clickhouse}
+      CLICKHOUSE_PASSWORD: ${LANGFUSE_CLICKHOUSE_PASSWORD:-clickhouse} # CHANGEME
+    volumes:
+      - langfuse_clickhouse_data:/var/lib/clickhouse
+      - langfuse_clickhouse_logs:/var/log/clickhouse-server
+    ports:
+      - 127.0.0.1:${LANGFUSE_CLICKHOUSE_HTTP_PORT:-18123}:8123
+      - 127.0.0.1:${LANGFUSE_CLICKHOUSE_NATIVE_PORT:-19000}:9000
+    healthcheck:
+      test: wget --no-verbose --tries=1 --spider http://localhost:8123/ping || exit 1
+      interval: 5s
+      timeout: 5s
+      retries: 10
+      start_period: 1s
+
+  langfuse-minio:
+    image: cgr.dev/chainguard/minio
+    restart: always
+    entrypoint: sh
+    command: -c 'mkdir -p /data/langfuse && minio server --address ":9000" --console-address ":9001" /data'
+    environment:
+      MINIO_ROOT_USER: ${LANGFUSE_MINIO_ROOT_USER:-minio}
+      MINIO_ROOT_PASSWORD: ${LANGFUSE_MINIO_ROOT_PASSWORD:-miniosecret} # CHANGEME
+    ports:
+      - ${LANGFUSE_MINIO_API_PORT:-9090}:9000
+      - 127.0.0.1:${LANGFUSE_MINIO_CONSOLE_PORT:-9091}:9001
+    volumes:
+      - langfuse_minio_data:/data
+    healthcheck:
+      test: ["CMD", "mc", "ready", "local"]
+      interval: 1s
+      timeout: 5s
+      retries: 5
+      start_period: 1s
+
+  langfuse-redis:
+    image: docker.io/redis:7
+    restart: always
+    command: >
+      --requirepass ${LANGFUSE_REDIS_AUTH:-myredissecret}
+      --maxmemory-policy noeviction
+    ports:
+      - 127.0.0.1:${LANGFUSE_REDIS_HOST_PORT:-16379}:6379
+    volumes:
+      - langfuse_redis_data:/data
+    healthcheck:
+      test: ["CMD", "redis-cli", "ping"]
+      interval: 3s
+      timeout: 10s
+      retries: 10
+
+  langfuse-postgres:
+    image: docker.io/postgres:${LANGFUSE_POSTGRES_VERSION:-17}
+    restart: always
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${LANGFUSE_POSTGRES_USER:-postgres}"]
+      interval: 3s
+      timeout: 3s
+      retries: 10
+    environment:
+      POSTGRES_USER: ${LANGFUSE_POSTGRES_USER:-postgres}
+      POSTGRES_PASSWORD: ${LANGFUSE_POSTGRES_PASSWORD:-postgres} # CHANGEME
+      POSTGRES_DB: ${LANGFUSE_POSTGRES_DB:-postgres}
+      TZ: UTC
+      PGTZ: UTC
+    ports:
+      - 127.0.0.1:${LANGFUSE_POSTGRES_HOST_PORT:-15432}:5432
+    volumes:
+      - langfuse_postgres_data:/var/lib/postgresql/data
+
+volumes:
+  langfuse_postgres_data:
+    driver: local
+  langfuse_clickhouse_data:
+    driver: local
+  langfuse_clickhouse_logs:
+    driver: local
+  langfuse_minio_data:
+    driver: local
+  langfuse_redis_data:
+    driver: local

docker-compose.yml

@@ -0,0 +1,74 @@
+# Application-owned local infrastructure: Postgres, MinIO, Qdrant.
+#
+# Intentionally separate from docker-compose.langfuse.yml (different service
+# names, volumes, and ports). Run alone for app development, or combine with
+# Langfuse:
+#
+#   docker compose \
+#     -f docker-compose.yml \
+#     -f docker-compose.langfuse.yml \
+#     --env-file .env \
+#     --env-file .env.langfuse \
+#     up -d
+#
+# Do not use this compose stack as-is for production.
+services:
+  app-postgres:
+    image: docker.io/postgres:17
+    restart: always
+    environment:
+      POSTGRES_USER: ${POSTGRES_USER:-chatbot}
+      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD:-chatbot}
+      POSTGRES_DB: ${POSTGRES_DB:-chatbot}
+    ports:
+      - 127.0.0.1:${POSTGRES_PORT:-5433}:5432
+    volumes:
+      - app_postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U ${POSTGRES_USER:-chatbot}"]
+      interval: 3s
+      timeout: 3s
+      retries: 10
+
+  app-minio:
+    image: cgr.dev/chainguard/minio
+    restart: always
+    entrypoint: sh
+    command: -c 'mkdir -p /data/${MINIO_BUCKET:-chatbot-source-files} && minio server --address ":9000" --console-address ":9001" /data'
+    environment:
+      MINIO_ROOT_USER: ${MINIO_ACCESS_KEY:-chatbot}
+      MINIO_ROOT_PASSWORD: ${MINIO_SECRET_KEY:-chatbot-secret}
+    ports:
+      - 127.0.0.1:9100:9000
+      - 127.0.0.1:9101:9001
+    volumes:
+      - app_minio_data:/data
+    healthcheck:
+      test: ["CMD", "mc", "ready", "local"]
+      interval: 1s
+      timeout: 5s
+      retries: 5
+      start_period: 1s
+
+  app-qdrant:
+    image: docker.io/qdrant/qdrant
+    restart: always
+    ports:
+      - 127.0.0.1:6343:6333
+      - 127.0.0.1:6344:6334
+    volumes:
+      - app_qdrant_data:/qdrant/storage
+    healthcheck:
+      test: ["CMD-SHELL", "bash -c '</dev/tcp/localhost/6333' 2>/dev/null || exit 1"]
+      interval: 3s
+      timeout: 3s
+      retries: 10
+      start_period: 3s
+
+volumes:
+  app_postgres_data:
+    driver: local
+  app_minio_data:
+    driver: local
+  app_qdrant_data:
+    driver: local

docs/adr/0002-chunk-crud-and-search-api.md

@@ -105,6 +105,62 @@ Qdrant's `update_filter`, giving an optimistic-concurrency-style guard
 against races between a concurrent ingestion re-run (ADR-0001) and a manual
 edit through this API.
 
+### Re-embedding on content edit
+
+`PUT /points/{point_id}` can change `content`, which leaves the stored
+vectors stale unless they're recomputed. When `content` changes, the point
+is **re-embedded inline**, reusing the same async embedding ports and
+batch/semaphore bounds ingestion uses ([0017](0017-synchronous-ingestion-in-the-request-path.md)),
+for parity between the two write paths. When `content` is unchanged, the
+edit applies only the supplied vector/payload fields and skips re-embedding
+entirely. Failure modes on this path reuse ingestion's status codes: `502`
+on embedder failure, `504` if the edit's embedding step exceeds the same
+timeout budget class as ingestion. The `version` guard (`update_filter`)
+still applies to the write — re-embedding happens before the guarded write,
+not instead of it, so a stale-version edit still fails with `409` rather
+than re-embedding for nothing.
+
+Rejected alternatives: requiring the caller to supply vectors when content
+changes (pushes model knowledge onto the client, and is easy to get subtly
+wrong); marking the point stale for background re-embedding later (needs
+background work, which ADR-0017 currently rules out for this slice).
+
+### `order_id` gap exhaustion
+
+Repeatedly inserting into the same gap between two neighbors eventually
+exhausts float precision (ADR-0001's known limitation). This slice does
+**not** ship a renormalize endpoint. Instead, any operation that assigns a
+new fractional `order_id` between two neighbors (insert, reorder) computes
+the resulting gap and:
+
+- logs a structured warning (`points.order_id.gap_low`) with `file_id` and
+  the two neighbor point IDs once the gap falls under a defined safety
+  threshold, so the condition is observable before it becomes uninsertable;
+- **rejects** the write with `409` and a distinct error code if the
+  computed gap is no longer representable (would collapse to one of the two
+  neighbor values), instead of silently applying an imprecise value.
+
+Recovering from an exhausted gap is a manual data-fix operation covered by
+the operator runbook, not an endpoint this slice builds — deferring the
+renormalize primitive is acceptable, silently producing an unrepresentable
+gap is not.
+
+### `POST /points/batch` semantics
+
+Batch requests are **all-or-nothing**, capped at **100 operations per
+request**. The service layer validates every operation's `version`
+precondition before applying any of them; if any operation's precondition
+fails, the whole request is rejected with `409` and nothing is applied — no
+partially-applied batch ever reaches Qdrant. This follows directly from the
+`version`-guard rule above applied at the batch level, and from the
+pointer-relinking rule (a reorder/insert/delete's neighbor updates must land
+in the same `points/batch` call, and a partial relink is a defect): partial
+application of a batch is exactly the failure mode that would produce a
+stale pointer chain. The 100-operation cap is independent of ADR-0001's
+64–256-point bulk-ingestion batch sizing — that number is about upload
+throughput; this one bounds an admin/manual edit request to something that
+comfortably finishes inside a normal request timeout.
+
 ## Consequences
 
 ### Positive
@@ -122,6 +178,15 @@ edit through this API.
 - Optimistic concurrency via `version` requires every writer (ingestion and
   this API) to consistently read-check-write; a writer that skips this can
   silently clobber concurrent edits.
+- Inline re-embedding puts embedder latency and `502`/`504` failure modes on
+  an admin content edit, not just on ingestion — an edit that only intended
+  to fix a typo pays the same embedding cost as a fresh chunk.
+- Deferring the `order_id` renormalize endpoint means a file whose gaps are
+  genuinely exhausted has no automated recovery in this slice; an operator
+  must intervene by hand until that endpoint exists.
+- All-or-nothing batch semantics mean one stale operation in a 100-operation
+  batch fails the entire request, even when the other 99 operations are
+  independent and would have succeeded on their own.
 
 ## Alternatives Considered
 
@@ -132,3 +197,16 @@ edit through this API.
 - **Client-supplied `tenant_id` in request body**: rejected — trusting
   client input for the isolation boundary is a direct multitenancy security
   risk; it must come from server-side auth context.
+- **Caller-supplied vectors on content edit**: rejected — pushes embedding
+  model knowledge onto the client and makes it easy to silently desync
+  vectors from content.
+- **Mark-stale-and-re-embed-later on content edit**: rejected for this
+  slice — needs background work, which ADR-0017 currently rules out.
+- **Renormalize `order_id` automatically within this slice**: rejected —
+  nothing in current scope has hit gap exhaustion; building the primitive
+  now is speculative. Revisit if the logged warning starts firing in
+  practice.
+- **Partial-success batch semantics (per-operation status)**: rejected —
+  a partially-applied batch is exactly the failure mode that leaves the
+  pointer chain (`previous_chunk_id`/`next_chunk_id`) inconsistent, which
+  this ADR treats as a defect, not a degraded-but-acceptable outcome.

docs/adr/0008-rest-api-and-fastapi-boundary.md

@@ -164,16 +164,20 @@ metadata such as `domain`. File validation is server-side:
 - Derive `tenant_id`, `created_by`, and `updated_by` from `AuthContext`, not
   from form fields.
 
-Ingestion may be slow because it parses, chunks, embeds, and writes many
-Qdrant points. The REST contract is job-shaped even if the first
-implementation runs inline:
+Ingestion parses, chunks, embeds, and writes many Qdrant points.
+[ADR-0017](0017-synchronous-ingestion-in-the-request-path.md) supersedes the
+job-shaped contract originally specified here: ingestion runs inline and the
+response is terminal.
 
 ```text
-202 Accepted -> { file_id, ingestion_job_id, status: "queued" | "running" }
+201 Created -> { file_id, ingestion_job_id, status: "succeeded", chunks_indexed }
 ```
 
-A durable worker/job queue can be added later without changing the API
-contract.
+`ingestion_job_id` is retained so the attempt stays inspectable via
+`GET /v1/files/{file_id}`, and so a future move back to a queued `202 Accepted`
+contract (ADR-0014) is additive for clients that already read it. Ingestion
+failures are HTTP failures: `400` unparseable, `413` too large, `502` embedder
+failure, `503` at capacity, `504` past the ingestion timeout.
 
 ### Point endpoints replace the older `/chunks` sketches
 
@@ -228,7 +232,7 @@ Important status codes:
 
 | Status | Use |
 |---|---|
-| `202 Accepted` | Ingestion accepted as a job. |
+| `201 Created` | Ingestion completed inline (ADR-0017). |
 | `400 Bad Request` | Invalid domain/filter combinations or unsupported file type. |
 | `401 Unauthorized` | Missing/invalid API key. |
 | `403 Forbidden` | Valid key without required scope. |
@@ -252,8 +256,8 @@ and Qdrant operations can be correlated.
   records — while preserving the chunk payload schema underneath.
 - `/threads/{thread_id}/runs` remains compatible with the LangGraph thread/run
   model already chosen in ADR-0007.
-- Job-shaped file ingestion lets the first implementation be simple while
-  keeping room for a durable worker without breaking clients.
+- Inline file ingestion (ADR-0017) gives callers a terminal result in one
+  request, with failures surfaced as ordinary HTTP errors.
 - Router-level dependencies and typed FastAPI dependencies keep auth, tenant
   resolution, sessions, and scopes reusable instead of repeated per endpoint.
 
@@ -266,8 +270,9 @@ and Qdrant operations can be correlated.
   public product API.
 - API-key auth in Postgres adds a database lookup to every request unless
   short-lived caching is introduced. Caching must preserve revocation semantics.
-- A job-shaped ingestion contract needs a job status store even if the initial
-  implementation processes inline.
+- Inline ingestion ties the upload's duration to proxy/client timeouts, and
+  moving back to a queued `202` contract later is a breaking change for clients
+  (see ADR-0017's trigger list). The `ingestion_jobs` store is kept either way.
 - The REST layer now depends on the tenant/API-key, ingestion-job, audit, and
   usage tables defined in [ADR-0009](0009-postgres-sqlalchemy-alembic-schema.md).
 
@@ -288,10 +293,12 @@ and Qdrant operations can be correlated.
 - **Expose one generic `/v1/qdrant/*` proxy**: rejected. It would leak Qdrant's
   full API surface, bypass tenant/scoping rules too easily, and couple clients
   to storage operations the service should hide.
-- **Synchronous file ingestion only**: rejected as the contract. It is simpler
-  to implement, but embedding and late-interaction vector generation can be
-  slow enough to exceed HTTP timeouts. The job-shaped response gives the
-  implementation room to evolve.
+- **Synchronous file ingestion only**: originally rejected here on the grounds
+  that embedding and late-interaction vector generation can exceed HTTP timeouts;
+  **adopted** by ADR-0017 for the first slice. Dense embedding is async network
+  I/O that batches and runs concurrently, and late-interaction vectors are not
+  populated at ingest yet — which is what made the original objection decisive
+  and is now the named trigger for reverting to a job-shaped contract.
 - **Create threads with `POST /v1/threads`**: rejected for now. The main
   backend owns conversation/session records, and LangGraph can create a
   checkpoint sequence on the first run for a `thread_id`. A create endpoint

docs/adr/0009-postgres-sqlalchemy-alembic-schema.md

@@ -47,6 +47,7 @@ Use SQLAlchemy 2.x ORM models with typed mappings:
 class Base(DeclarativeBase):
     pass
 
+
 class Tenant(Base):
     __tablename__ = "tenants"
 
@@ -208,9 +209,12 @@ on the `content_hash` policy.
 
 #### `ingestion_jobs`
 
-One attempt to parse/chunk/embed/upsert a source file. This table is required
-even if the first implementation processes inline, because ADR-0008's file
-upload contract is job-shaped.
+One attempt to parse/chunk/embed/upsert a source file. Under
+[ADR-0017](0017-synchronous-ingestion-in-the-request-path.md) that attempt runs
+inline in the upload request, so a row is written `running` before the work and
+updated to a terminal status after it — the table is a durable record of the
+attempt, not a queue. It is what makes failures inspectable, re-ingestion
+idempotent, and a later move back to queued dispatch (ADR-0014) additive.
 
 | Column | Notes |
 |---|---|

docs/adr/0012-application-resource-lifetime-and-dependency-ownership.md

@@ -165,6 +165,7 @@ Avoid hidden global access:
 # Do not do this.
 session = SessionLocal()
 
+
 async def create_user(data: CreateUserRequest) -> User:
     session.add(User(email=data.email))
     await session.commit()
@@ -206,8 +207,7 @@ async def get_point(
     qdrant: QdrantClient,
     auth: AuthContext,
     point_id: str,
-) -> PointResponse:
-    ...
+) -> PointResponse: ...
 ```
 
 Do not have lower layers import mutable resource singletons. Explicit parameters

docs/adr/0014-durable-job-dispatch-with-rabbitmq.md

@@ -2,7 +2,14 @@
 
 ## Status
 
-Proposed
+Superseded by
+[0017](0017-synchronous-ingestion-in-the-request-path.md)
+
+ADR-0017 defers this decision rather than rejecting it: ingestion currently runs
+inline in the `POST /v1/files` request, with no broker, no outbox, and no queue.
+This ADR remains the intended design for when ingestion becomes slow enough to
+need one — ADR-0017 lists the triggers, and names an in-process Postgres-claimed
+runner as the likely intermediate step before adopting a broker.
 
 ## Context
 

docs/adr/0015-modular-monolith-package-architecture.md

@@ -4,6 +4,13 @@
 
 Proposed
 
+> Amended by [ADR-0017](0017-synchronous-ingestion-in-the-request-path.md):
+> there is no broker, outbox publisher, queue, or separate worker process for
+> now. `messaging/`, `workers/`, and `infrastructure/rabbitmq/` are part of the
+> target shape but are **not created yet**; ingestion runs inline in the request,
+> so the FastAPI route is the only entry adapter and it calls
+> `application/ingestion/` directly. Every layering rule below applies unchanged.
+
 ## Context
 
 The repository currently contains only a small FastAPI-oriented scaffold under
@@ -69,17 +76,18 @@ src/
 │   │   ├── models/
 │   │   ├── repositories/
 │   │   ├── database.py
-│   │   └── outbox.py
+│   │   └── outbox.py         # ADR-0017: not yet; no outbox today
 │   ├── qdrant/
 │   ├── minio/
-│   ├── rabbitmq/
+│   ├── embedding/            # async embedding adapters (batched, bounded)
+│   ├── rabbitmq/             # ADR-0017: not yet; ADR-0014 target only
 │   ├── langgraph/
 │   └── observability/
-├── messaging/
+├── messaging/                # ADR-0017: not yet; ADR-0014 target only
 │   ├── events.py
 │   ├── subjects.py
 │   └── outbox_publisher.py
-└── workers/
+└── workers/                  # ADR-0017: not yet; ADR-0014 target only
     ├── ingestion.py
     └── maintenance.py
 ```
@@ -103,7 +111,6 @@ tests/
 ├── integration/
 │   ├── postgres/
 │   ├── minio/
-│   ├── rabbitmq/
 │   └── qdrant/
 └── e2e/
 ```
@@ -193,8 +200,10 @@ bootstrap. Graph nodes call application services, particularly
 - `qdrant/` owns Qdrant client lifecycle, collection/bootstrap helpers, low-level
   point operations, and hybrid retrieval adapter mechanics.
 - `minio/` implements object-storage operations against MinIO/S3-compatible APIs.
+- `embedding/` implements the async dense/sparse embedding adapters, including
+  provider batching and the concurrency semaphore from ADR-0017.
 - `rabbitmq/` owns the RabbitMQ connection/channel lifecycle plus low-level
-  publish and consumer adapters (aio-pika).
+  publish and consumer adapters (aio-pika). Not created while ADR-0017 stands.
 - `langgraph/` configures the concrete Postgres-backed LangGraph persistence
   adapters.
 - `observability/` configures structlog and Langfuse integrations.
@@ -204,6 +213,12 @@ must not create mutable external clients at import time.
 
 ### Messaging and workers
 
+Under ADR-0017 neither package exists yet: ingestion runs inline in the request,
+so the FastAPI route plays the entry-adapter role described here and obeys the
+same rule — it binds logging context and invokes an application service, and
+holds no parsing/chunking/Qdrant business logic itself. The rest of this section
+describes the shape both packages take when ADR-0014 is adopted.
+
 `messaging/` contains versioned event schemas, stable routing-key names, and the
 outbox-publisher orchestration. The outbox publisher coordinates Postgres outbox
 records with the RabbitMQ adapter; it does not become a second source of job

docs/adr/0016-testing-strategy-and-quality-gates.md

@@ -4,17 +4,24 @@
 
 Proposed
 
+> Amended by [ADR-0017](0017-synchronous-ingestion-in-the-request-path.md):
+> there is no broker, outbox, or queue, so the `rabbitmq` marker and
+> `tests/integration/rabbitmq/` are not carried until ADR-0014 is adopted.
+> Ingestion is exercised through the upload request itself, which now returns a
+> terminal result. Every reliability invariant below still applies — retrying an
+> upload stands in for redelivery.
+
 ## Context
 
 The project has ADRs for tenant-scoped ingestion, explicit resource ownership,
-MinIO object storage, transactional outbox dispatch, RabbitMQ workers,
+MinIO object storage, inline request-path ingestion,
 Qdrant indexing, and a modular monolith. It has no test runner, test fixtures,
 or executable test suite yet.
 
 The first CSV ingestion slice has correctness properties that cannot be left to
 manual testing: Alembic is the only schema-management path; tenant identity is
-trusted server-side context; a file, job, and outbox event commit atomically;
-workers are safe under at-least-once delivery; and generated Qdrant points are
+trusted server-side context; the source file and its job row commit
+atomically; job execution is safe under at-least-once semantics; and generated Qdrant points are
 idempotent and tenant-filtered. ADR-0015 already reserves a test layout by
 boundary, while ADR-0012 requires explicit dependencies and resource lifetimes
 that should make tests practical without import-time client patching.
@@ -23,8 +30,11 @@ Tests need to give fast feedback during implementation without replacing
 integration coverage with mocks or making routine development depend on Docker,
 provider credentials, live models, or Langfuse availability.
 
-ADR-0014's transactional-outbox decision controls ingestion dispatch. The upload
-path records durable dispatch intent; a separate outbox publisher publishes it.
+ADR-0017 controls ingestion: `POST /v1/files` parses, chunks, embeds, and
+indexes inline, then returns a terminal `201`. `ingestion_jobs` records the
+attempt. There is no outbox, queue, or publisher to test — but the request's
+bounds (size, timeout, capacity) and its two-transaction shape are testable
+contracts.
 
 ## Decision
 
@@ -42,8 +52,8 @@ ADR-0012. `FastAPI.TestClient` is not the default project test client.
 Register these markers:
 
 - one primary boundary marker per test: `unit`, `integration`, or `e2e`;
-- `postgres`, `minio`, `rabbitmq`, or `qdrant` for the real service used by an
-  integration test;
+- `postgres`, `minio`, or `qdrant` for the real service used by an integration
+  test (a `rabbitmq` marker returns with ADR-0014);
 - `slow` only where a test materially exceeds the normal integration feedback
   target;
 - `live_provider` for an opt-in, credential-gated external-provider smoke test.
@@ -68,7 +78,6 @@ tests/
 ├── integration/
 │   ├── postgres/
 │   ├── minio/
-│   ├── rabbitmq/
 │   └── qdrant/
 └── e2e/
 ```
@@ -84,7 +93,7 @@ tests/
   tests.
 
 Hand-written fakes and spies implement narrow application-owned ports, not
-MinIO, RabbitMQ, Qdrant, or model SDK-shaped interfaces. Scripted model, embedder,
+MinIO, Qdrant, or model SDK-shaped interfaces. Scripted model, embedder,
 retrieval, clock, and UUID fakes make normal test runs deterministic.
 
 ### Apply pragmatic TDD
@@ -106,7 +115,7 @@ real-adapter integration test before declaring that boundary complete.
 ### Use disposable real infrastructure in integration tests
 
 Use Testcontainers as the standard automated integration-test resource mechanism
-for Postgres, MinIO, RabbitMQ, and Qdrant.
+for Postgres, MinIO, and Qdrant.
 
 - Tests never connect to a developer's local services or Langfuse-owned storage
   and credentials.
@@ -119,8 +128,8 @@ for Postgres, MinIO, RabbitMQ, and Qdrant.
   adapters through their normal constructors.
 
 Docker Compose remains the mechanism for manual local validation and a later,
-serialized operational smoke test where web, outbox-publisher, and worker run as
-independent processes. It is not the default pytest fixture mechanism.
+serialized operational smoke test of the running web process, which performs
+ingestion inline under ADR-0017. It is not the default pytest fixture mechanism.
 
 ### Treat invariants as reusable contracts
 
@@ -128,21 +137,25 @@ Test the following requirements at the applicable application, adapter, and E2E
 boundaries:
 
 - Tenant identity comes from server-side authenticated context. Request payloads,
-  query parameters, object metadata, and broker messages cannot override it.
+  query parameters, object metadata, and job payloads cannot override it.
 - Cross-tenant access does not disclose tenant-owned data. Public routes normally
   return `404` for inaccessible resources.
 - Alembic creates the schema from an empty database. Tests never use
   `Base.metadata.create_all()`, and FastAPI startup performs readiness checks only,
   never DDL.
-- The upload transaction records `source_files`, a queued `ingestion_jobs` row,
-  and an unpublished `outbox_events` row atomically. The HTTP route does not
-  directly publish the ingestion event.
-- Broker messages contain durable identifiers and correlation metadata only. The
-  worker reloads job and source-file records from Postgres before tenant-scoped
-  side effects.
-- Worker acknowledgement follows durable progress or terminal-state persistence.
-  Duplicate publication and redelivery do not regress terminal jobs, inflate
-  counters, or create duplicate logical chunks.
+- The first upload transaction records `source_files` and a `running`
+  `ingestion_jobs` row atomically, and commits before any parse/embed work; no
+  session or transaction is held open across that work.
+- Every terminating path — success, parse failure, embedder failure, timeout —
+  writes a terminal job status and its `ingestion_job_events` row. A job is
+  never left in `running` by a handled failure.
+- Each bound maps to its status code: oversized upload `413`, capacity `503`,
+  timeout `504`, embedder failure `502`.
+- Retrying an upload does not regress terminal jobs, inflate counters, or create
+  duplicate logical chunks; identical content is recognized rather than
+  re-ingested.
+- Embedding is batched and concurrency-bounded rather than serial per chunk, and
+  blocking work is executed off the event loop under an explicit limiter.
 - MinIO keys are server-derived internal paths. Qdrant reads and mutations use a
   server-derived tenant filter, deterministic point IDs, and upsert semantics.
 
@@ -176,8 +189,8 @@ ratcheting threshold rather than encouraging low-value coverage.
 - Unit tests provide fast, deterministic TDD feedback for core application
   behavior.
 - Real-service tests cover the behaviors least safe to simulate: Alembic
-  migrations, object storage, RabbitMQ acknowledgements/redelivery, and Qdrant
-  filtering/upserts.
+  migrations, object storage, transaction boundaries under real sessions, and
+  Qdrant filtering/upserts.
 - Explicit fakes reinforce the dependency direction and resource ownership rules
   from ADR-0012 and ADR-0015.
 - The ingestion path has concrete tenant-isolation and reliability contracts,
@@ -197,8 +210,8 @@ ratcheting threshold rather than encouraging low-value coverage.
 ## Alternatives Considered
 
 - **Mock all external SDKs**: rejected. Mocks cannot prove migrations, real
-  RabbitMQ acknowledgement/redelivery behavior, MinIO semantics, or Qdrant
-  tenant filtering.
+  transaction/connection behavior, MinIO semantics, or Qdrant tenant
+  filtering.
 - **Use full-stack Compose tests only**: rejected. They are slow and opaque for
   the default development loop and make failures difficult to localize.
 - **Run all integration containers on every pytest invocation**: rejected. Test

docs/adr/0017-synchronous-ingestion-in-the-request-path.md

@@ -0,0 +1,252 @@
+# 0017. Synchronous ingestion in the request path
+
+## Status
+
+Proposed
+
+## Context
+
+ADR-0014 chose RabbitMQ plus a transactional outbox for durable job dispatch,
+with three process entrypoints (web, outbox publisher, ingestion worker).
+ADR-0008 made `POST /v1/files` job-shaped — `202 Accepted` with an
+`ingestion_job_id` and a non-terminal status — explicitly so that a durable
+queue could be added later without breaking clients.
+
+That contract was chosen on the assumption that ingestion is slow enough to
+exceed HTTP timeouts. For the first slice, that assumption does not hold, and
+paying for it costs a broker, an outbox table, a publisher process, a worker
+process, and a client that must poll for completion.
+
+What ingestion actually does per file, and how expensive each stage is:
+
+| Stage | Kind of work | Cost |
+|---|---|---|
+| Parse (`python-docx`, `csv`) | Blocking CPU, sync SDK | Modest; seconds at worst for a large document |
+| Chunk (fixed-size, ADR-0004) | Blocking CPU, pure Python | Negligible |
+| `dense_nomic`, `dense_openai` | **Async network I/O** | Dominant by wall-clock, but batchable and concurrent |
+| `sparse` (own BM25 pipeline, ADR-0005) | Blocking CPU | Modest, GIL-bound |
+| Qdrant upsert | Async network I/O | Modest, batchable |
+
+The dense embedding stage is the largest term, but it is I/O, not computation
+this process performs: both embedders take arrays of inputs, and independent
+batches can be in flight at once. A few hundred chunks is a small number of
+batched requests, issued concurrently — not a serial per-chunk round trip.
+
+`late_interaction` (jina-colbert-v2) is the one genuinely heavy ingest-time
+stage: a document-side multivector per chunk from a local GPU model requiring
+`flash_attn`. ADR-0001 defines the vector now to avoid collection recreation but
+does not require it to be populated, and plan 001 puts the reranker and GPU
+deployment explicitly out of scope for the first slice. It is therefore **not
+computed during synchronous ingestion**, and enabling it is a trigger to revisit
+this decision rather than a cost this decision has to carry.
+
+## Decision
+
+**`POST /v1/files` performs ingestion inline and returns a terminal result.** No
+broker, no outbox, no queue, no worker process, and no polling by the client.
+
+```text
+POST /v1/files
+  -> authenticate, resolve tenant, validate the upload
+  -> 201 Created { file_id, ingestion_job_id, status: "succeeded", chunks_indexed }
+```
+
+ADR-0008's job-shaped `202 Accepted` contract is superseded by this ADR;
+ADR-0014 remains `Superseded by 0017` and is the design to adopt if the triggers
+below are hit. `ingestion_jobs` is kept exactly as ADR-0009 defines it — it is
+now a record of an ingestion *attempt* rather than a queue entry, and it is what
+makes failures inspectable and re-ingestion idempotent.
+
+### Request shape
+
+The request runs in three phases, and the phase boundaries matter:
+
+```text
+1. txn A (short):  insert source_files
+                   insert ingestion_jobs(status='running', started_at=now())
+                   commit  -- release the connection
+2. no transaction: store bytes in MinIO
+                   parse + chunk            (threads)
+                   embed dense + sparse     (async, batched, bounded)
+                   upsert Qdrant points     (deterministic ids)
+3. txn B (short):  update ingestion_jobs -> succeeded/failed + counters
+                   append ingestion_job_events
+                   commit
+```
+
+**Never hold a Postgres session or transaction open across phase 2.** A slow
+upload would otherwise pin a pool connection — and an idle-in-transaction row
+lock — for the entire ingestion. Take a session, commit, release, and take a
+fresh one for phase 3. This is ADR-0012's "one session per unit of work" applied
+to a request that contains two units.
+
+Committing the job row *before* the work means a request that dies mid-ingestion
+still leaves durable evidence: a `running` job that never reached a terminal
+state, discoverable by age.
+
+### Embedding is concurrent and batched, not serial
+
+Chunks are embedded through the async embedding ports, batched per provider
+limits, with independent batches in flight concurrently and bounded by a
+semaphore:
+
+```python
+limiter = asyncio.Semaphore(settings.ingestion.embed_concurrency)
+
+async def embed_batch(batch: Sequence[str]) -> list[Vector]:
+    async with limiter:
+        return await embedder.embed(batch)
+
+batches = chunk_into_batches(texts, size=settings.ingestion.embed_batch_size)
+vectors = flatten(await asyncio.gather(*(embed_batch(b) for b in batches)))
+```
+
+Rules:
+
+- **Batch before you parallelize.** Both dense embedders accept arrays; sending
+  one request per chunk wastes far more time than concurrency can recover.
+- **Bound concurrency with a semaphore**, never an unbounded `gather` over every
+  batch. The limit exists for the provider's rate limits and for the self-hosted
+  nomic server's capacity — past saturation, extra concurrency just moves the
+  queue somewhere you cannot see it.
+- Retry `429`/transient failures with backoff *inside* the request's overall
+  timeout budget, not beyond it.
+- The two dense embedders are themselves independent and run concurrently with
+  each other.
+
+### Blocking work runs on threads
+
+Parsing (`python-docx`, `csv`), chunking, hashing, the sparse BM25 pipeline, and
+the synchronous `minio` SDK are blocking. They run via
+`anyio.to_thread.run_sync`, with an explicit `anyio.CapacityLimiter` so ingestion
+threads cannot exhaust the pool Starlette uses for sync route handlers and
+dependencies:
+
+```python
+chunks = await anyio.to_thread.run_sync(parse_and_chunk, raw_bytes, limiter=ingestion_limiter)
+```
+
+Calling any of them directly from an `async def` service is a defect: one large
+`python-docx` parse would block every concurrent request in the process.
+
+### The request is bounded, and says so when it cannot finish
+
+Synchronous ingestion means the client's timeout is now the system's deadline.
+Three bounds, all configured, all enforced server-side:
+
+- `INGESTION_MAX_UPLOAD_SIZE_MB` (and a max chunk count) reject work that is
+  obviously too large *before* any of it starts — a `413`, not a timeout.
+- `INGESTION_TIMEOUT_SECONDS` bounds the whole of phase 2. On expiry the job is
+  marked `failed` with a timeout error code in phase 3, and the response is
+  `504`. A timeout must never leave the job stuck in `running`.
+- `INGESTION_MAX_CONCURRENCY` bounds how many ingestions run in the process at
+  once. Over the limit, the request is rejected with `503` and `Retry-After`
+  rather than queued behind an unbounded wait — a queue that the client is
+  blocked on is the worst of both designs.
+
+Document the deployment consequence: proxy, load balancer, and client read
+timeouts must all exceed `INGESTION_TIMEOUT_SECONDS`, or the client will give up
+on work that is still succeeding.
+
+### Re-running an ingestion stays safe
+
+The idempotency requirements survive, because a client that times out will
+retry, and phase 2 has no transaction protecting it:
+
+- Point ids are deterministic from `file_id` + `chunk_index` (ADR-0001), so a
+  retried upload upserts rather than duplicates.
+- Identical uploads are recognized by `(tenant_id, domain, content_sha256)` and
+  return the existing file/job rather than re-ingesting (plan 001).
+- `tenant_id` comes from `AuthContext`, never from the request body.
+- A terminal job is never transitioned back to `running`.
+- Qdrant points from a failed attempt do not replace the previous successful
+  index; replacement happens only after a successful attempt.
+
+### Failures are HTTP failures
+
+There is no dead-letter queue and no retry loop. A failed ingestion marks the
+job `failed` with an error code and a terminating `ingestion_job_events` row,
+and returns the corresponding status code (`400` for an unparseable file, `413`
+too large, `503` at capacity, `504` on timeout, `502` for an embedder failure).
+The client decides whether to retry, which is the correct owner of that decision
+when the client is synchronous.
+
+### `GET /v1/files/{file_id}` stays
+
+It reports the stored job status. It is no longer a polling mechanism for the
+upload, but it remains how an operator inspects a past ingestion, and how a
+client that lost its connection mid-upload discovers what happened.
+
+### When to revisit
+
+Return to a queue — ADR-0014's design, or an in-process Postgres-claimed runner
+as an intermediate step — when any of these becomes true:
+
+- `late_interaction` document vectors are populated at ingest (GPU, per-chunk
+  model inference: this alone is likely sufficient);
+- typical ingestion approaches `INGESTION_TIMEOUT_SECONDS`, or `504`/`503` rates
+  stop being negligible;
+- file types arrive that are large or slow enough to be unbounded (bulk XLSX,
+  scanned PDFs with OCR);
+- ingestion load starts degrading chat/retrieval latency in the same process;
+- ingestion needs to be retried automatically rather than by the caller.
+
+Track p95 ingestion duration, `503`/`504` counts, and the count of `running`
+jobs older than the timeout. Those are the trigger metrics.
+
+## Consequences
+
+### Positive
+- The client gets its answer in one call. No polling, no job-status endpoint in
+  the happy path, no "queued" state to explain to a frontend.
+- The first slice needs Postgres, MinIO, and Qdrant only — no broker, no outbox
+  table, no publisher or worker process, no exchange/queue/DLX provisioning.
+- Failures reach the caller directly, with a real status code and message,
+  instead of being discovered later by polling a job row.
+- One process to run, deploy, and reason about; `docker compose up` is the whole
+  application.
+- Batched, bounded-concurrent embedding is a property worth having regardless of
+  where ingestion runs — it carries over unchanged into a queued design.
+
+### Negative
+- The request's duration is now a product constraint. Proxy/client timeouts
+  become deployment configuration that can silently break uploads.
+- Ingestion competes with chat/retrieval for CPU, threads, and connections in
+  the same process, and a burst of uploads degrades API latency for everyone.
+- No automatic retry: a transient embedder failure surfaces as a `502` and
+  depends on the caller to retry.
+- A client disconnect does not cancel the work, and leaves a job that can sit in
+  `running` until observed by age.
+- Capacity rejection (`503`) is a worse experience than queueing for callers who
+  would rather wait — accepted deliberately, because a blocked client waiting on
+  a hidden queue is worse still.
+- Reversing this decision changes the HTTP contract (`201` with a terminal status
+  becomes `202` with a pending one), so clients would have to change. This is the
+  real cost of the decision, and the reason the trigger list above is explicit.
+
+## Alternatives Considered
+
+- **Job-shaped `202 Accepted` with a queue (ADR-0008 as written, ADR-0014)**:
+  rejected for now. It is the right design once ingestion is genuinely slow or
+  needs automatic retry, and the trigger list says when to adopt it. Building it
+  first would add a broker, an outbox, and two processes to make a
+  seconds-long operation asynchronous.
+- **In-process Postgres-claimed job runner with `202`**: rejected as the current
+  step, but it is the natural intermediate — it keeps the single process and the
+  single deployment while decoupling the request from the work. It is the first
+  thing to reach for when the triggers fire, before adopting a broker.
+- **Serial per-chunk embedding**: rejected. It is the version of synchronous
+  ingestion that genuinely would exceed HTTP timeouts, and it is avoidable with
+  batching plus bounded concurrency.
+- **Unbounded `asyncio.gather` over all batches**: rejected. It converts a large
+  upload into a rate-limit burst against the provider and an unbounded memory
+  spike locally; the semaphore is what makes the concurrency safe.
+- **Run the blocking stages on the event loop directly**: rejected. A single
+  large `python-docx` parse would stall every concurrent request in the process.
+- **`BackgroundTasks` after returning `201`**: rejected as the worst of both —
+  the client is told the work succeeded before it has, with no durable record
+  and no retry if the process restarts.
+- **Populate `late_interaction` during synchronous ingestion**: rejected for this
+  slice, consistent with plan 001's scope. Per-chunk GPU model inference is the
+  stage that makes ingestion unbounded; adding it is a trigger to revisit this
+  ADR, not something to absorb into a request.

docs/plans/001-ingestion-vertical-slice.md

@@ -4,9 +4,8 @@
 
 This plan turns the accepted architectural direction in the ADRs into the first
 working product slice: a tenant-scoped CSV upload is stored in MinIO, represented
-by durable Postgres records, dispatched through RabbitMQ using a
-transactional outbox, processed by a separate worker, and indexed as Qdrant
-points.
+by durable Postgres records, parsed/chunked/embedded inline in the request
+(ADR-0017), and indexed as Qdrant points before the response returns.
 
 This is an implementation plan, not an Architecture Decision Record. ADRs explain
 why major technologies and boundaries were chosen; this document defines the
@@ -19,10 +18,9 @@ The first vertical slice uses these responsibilities:
 | System | Responsibility |
 |---|---|
 | FastAPI | HTTP boundary, validation, authentication, tenant derivation, and job creation. |
-| Postgres | Tenant/auth data, source-file metadata, ingestion job state/progress, audit, and transactional outbox events. |
+| Postgres | Tenant/auth data, source-file metadata, ingestion attempt records/progress, and audit. |
 | MinIO | Private source-file bytes and retained derived ingestion blobs. |
-| RabbitMQ | Durable delivery of ingestion and maintenance work. |
-| Ingestion worker | Parsing, chunking, embedding, ingestion-generated Chunk/Point CRUD, and job status updates. |
+| Ingestion service | Parsing, chunking, embedding, ingestion-generated Chunk/Point CRUD, and job status updates — inline in the request. |
 | Qdrant | Tenant-filtered generated chunks and their vectors/payloads. |
 
 The controlling ADRs are:
@@ -35,9 +33,11 @@ The controlling ADRs are:
   resource lifetime, dependency injection, and explicit transaction ownership.
 - [ADR-0013](../adr/0013-s3-compatible-object-storage-with-minio.md): MinIO object
   storage boundary.
-- [ADR-0014](../adr/0014-durable-job-dispatch-with-rabbitmq.md): RabbitMQ,
-  transactional outbox, separate workers, and worker-owned ingestion Chunk/Point
-  CRUD.
+- [ADR-0017](../adr/0017-synchronous-ingestion-in-the-request-path.md):
+  inline ingestion, batched/bounded-concurrent embedding,
+  `anyio.to_thread.run_sync` for blocking work, and request bounds. It supersedes
+  [ADR-0014](../adr/0014-durable-job-dispatch-with-rabbitmq.md), which remains
+  the design to adopt when a broker becomes necessary.
 
 The cited ADRs are currently proposed. Treat them as the implementation baseline
 only after the project owner accepts them; code should not silently diverge from
@@ -50,13 +50,14 @@ them.
 - `POST /v1/files` for authenticated tenant-scoped **CSV** upload.
 - File validation, size limits, content hashing, and streaming upload to MinIO.
 - Alembic-managed Postgres schema for the minimal tenant/auth, source file,
-  ingestion job, job event, and outbox records needed by this slice.
-- Transactional outbox publication of `ingestion.job.created` to RabbitMQ.
-- A separate ingestion worker process with a durable RabbitMQ consumer.
+  ingestion job, and job event records needed by this slice.
+- Inline ingestion in `POST /v1/files`, with batched/bounded-concurrent
+  embedding, thread-offloaded parsing, and enforced size/timeout/capacity
+  bounds.
 - CSV parsing and deterministic chunk creation.
 - Tenant-filtered Qdrant point upserts using deterministic point identifiers.
 - Job status/progress persistence and `GET /v1/files/{file_id}` status lookup.
-- Structured correlation logging at HTTP, outbox, and worker ingress.
+- Structured correlation logging at HTTP and ingestion-stage boundaries.
 - Automated tests for the critical state transitions, redelivery, and tenant
   boundaries.
 
@@ -70,31 +71,40 @@ them.
   ingestion.
 - Full tenant erasure and hard-deletion workflow.
 - A public download API or presigned object URLs.
-- Exactly-once end-to-end processing. The worker must instead be safe under
-  at-least-once delivery.
+- A message broker, transactional outbox, job queue, and separate
+  worker/publisher processes (ADR-0014, deferred by ADR-0017).
+- `late_interaction` (jina-colbert-v2) document vectors at ingest — populating
+  them is ADR-0017's primary trigger to move ingestion back off the request.
+- Exactly-once end-to-end processing. Job execution must instead be safe when a
+  job runs more than once.
 
 ## Required invariants
 
 The implementation must preserve these rules from the ADRs:
 
 1. `tenant_id` is derived from trusted authentication context; it is never
-   accepted from the upload body, query parameters, MinIO metadata, or a broker
-   message as authority.
+   accepted from the upload body, query parameters, MinIO metadata, or a
+   dispatch payload as authority.
 2. MinIO stores bytes; Postgres stores metadata, lifecycle state, job progress,
-   audit records, and dispatch intent.
-3. Broker messages contain stable IDs and correlation metadata only. They never
+   audit records, and the queue.
+3. Dispatch payloads contain stable IDs and correlation metadata only. They never
    contain file bytes, extracted text, chunks, embeddings, secrets, raw prompts,
    or raw model output.
-4. The worker reloads the job and source-file records from Postgres before doing
-   tenant-scoped work.
-5. The worker, not the HTTP publisher, performs parsing, chunking, embedding, and
-   generated Qdrant Chunk/Point CRUD.
+4. Ingestion works from the persisted job and source-file records, not from
+   request-supplied values.
+5. Parsing, chunking, embedding, and generated Qdrant Chunk/Point CRUD live in
+   the ingestion application service, not in the route handler. Blocking work
+   runs through `anyio.to_thread.run_sync`, never directly on the event loop.
 6. Qdrant reads and mutations are tenant-filtered. Ingestion-generated point IDs
    are deterministic so retrying a job does not create duplicate logical chunks.
-7. The worker acknowledges a RabbitMQ message only after it has durably persisted
-   the applicable Postgres progress/final state.
-8. Application clients are built at FastAPI or worker-process startup and closed
-   at shutdown. No mutable clients are opened as import-time globals.
+7. No Postgres session or transaction is held open across parse/embed/upsert.
+   The job row is committed `running` before the work and updated to a terminal
+   status after it, in a second short transaction.
+8. Application clients are built at FastAPI startup and closed at shutdown. No
+   mutable clients are opened as import-time globals.
+9. Embedding is batched per provider limits and concurrency-bounded by a
+   semaphore; blocking work (parse, chunk, BM25, `minio`) runs through
+   `anyio.to_thread.run_sync` with an explicit `CapacityLimiter`.
 
 ## Required decisions before implementing the affected phase
 
@@ -120,22 +130,25 @@ rather than becoming an accidental repository behavior.
 For the first release, file deletion should be soft and job-shaped:
 
 1. mark the source file as deletion requested/soft deleted in Postgres;
-2. write a maintenance outbox event;
-3. have a worker soft-delete the related Qdrant points;
+2. soft-delete the related Qdrant points inline, recording the attempt;
 4. retain the MinIO object until an explicit retention or hard-erasure workflow.
 
 Hard deletion requires a later retention/erasure implementation covering MinIO,
 Qdrant, and the relevant Postgres data.
 
-### Broker operations
+### Ingestion bounds and operations
 
 Before deploying an environment, define and document:
 
-- RabbitMQ exchange, queue, binding, and dead-letter-exchange configuration;
-- queue name, prefetch, manual-ack policy, and DLX retry/backoff;
-- worker concurrency and resource limits;
-- outbox polling/publish interval and stuck-event alert threshold;
-- how failed jobs are inspected, retried, and cancelled.
+- `INGESTION_MAX_CONCURRENCY` and the thread-pool capacity limiter, and their
+  relation to the process's CPU/memory budget;
+- `INGESTION_TIMEOUT_SECONDS`, and the proxy/load-balancer/client read timeouts
+  that must exceed it;
+- `INGESTION_EMBED_BATCH_SIZE` and `INGESTION_EMBED_CONCURRENCY`, sized to the
+  provider's rate limits and the self-hosted embedder's capacity;
+- alert thresholds for p95 ingestion duration, `503`/`504` rates, and jobs left
+  in `running` past the timeout;
+- how failed ingestions are inspected and retried.
 
 These are deployment/runbook settings, not new ADRs unless they change the
 reliability guarantee or system boundary.
@@ -144,15 +157,14 @@ reliability guarantee or system boundary.
 
 ### Phase 1: Foundation and local dependencies
 
-1. Add typed configuration in `src/config.py` for Postgres, MinIO, RabbitMQ,
-   Qdrant, application limits, and logging.
+1. Add typed configuration in `src/config.py` for Postgres, MinIO, Qdrant,
+   ingestion bounds, application limits, and logging.
 2. Populate `.env.example` with non-secret local-development configuration.
-3. Add application Docker Compose services for Postgres, MinIO, RabbitMQ, and
-   Qdrant. Keep application MinIO buckets/credentials separate from Langfuse
-   infrastructure.
+3. Add application Docker Compose services for Postgres, MinIO, and Qdrant. Keep
+   application MinIO buckets/credentials separate from Langfuse infrastructure.
 4. Add direct Python dependencies and lock them with `uv`:
-   SQLAlchemy async/Postgres driver, MinIO/S3 client, aio-pika, Qdrant client,
-   and structured logging dependencies chosen by ADR-0011.
+   SQLAlchemy async/Postgres driver, MinIO/S3 client, Qdrant client, and
+   structured logging dependencies chosen by ADR-0011.
 5. Add the pytest foundation from ADR-0016: async test configuration, boundary
    markers, and support for dependency-injected fakes. Add a lifespan smoke test
    before creating external clients.
@@ -166,11 +178,10 @@ run without Docker or live providers.
 ### Phase 2: Database, migrations, and domain contracts
 
 1. Define SQLAlchemy models and Alembic migrations for the minimum required
-   tables: `tenants`, `api_keys`, `source_files`, `ingestion_jobs`,
-   `ingestion_job_events`, and `outbox_events`.
-2. Define Pydantic request/response/message schemas, including a versioned
-   `ingestion.job.created` message containing `event_id`, `tenant_id`, `file_id`,
-   `ingestion_job_id`, `request_id`, and `api_key_id`.
+   tables: `tenants`, `api_keys`, `source_files`, `ingestion_jobs`, and
+   `ingestion_job_events`, per ADR-0009.
+2. Define Pydantic request/response schemas, including the terminal upload
+   response (`file_id`, `ingestion_job_id`, `status`, `chunks_indexed`).
 3. Implement explicit repositories/services with a request/job-lifetime
    `AsyncSession`; routes/services own commit/rollback boundaries as specified by
    ADR-0012.
@@ -188,75 +199,75 @@ reads/writes and valid job transitions.
 2. Implement `POST /v1/files` for CSV only, including streaming-size controls,
    file-type validation, SHA-256 calculation, and a private MinIO upload using
    an internal object key.
-3. In one Postgres transaction, persist `source_files`, create
-   `ingestion_jobs(status='queued')`, and write the corresponding unpublished
-   `outbox_events` row.
-4. Return `202 Accepted` with `file_id`, `ingestion_job_id`, and `queued` status.
+3. In one short Postgres transaction, persist `source_files` and create
+   `ingestion_jobs(status='running')`, then commit and release the connection
+   before any parse/embed work.
+4. Return `201 Created` with `file_id`, `ingestion_job_id`, terminal status, and
+   `chunks_indexed` once ingestion completes.
 5. Implement `GET /v1/files/{file_id}` with tenant filtering and a public status
    response that does not expose raw storage credentials or internal artifacts.
 6. Add cleanup/compensation handling for a MinIO upload that succeeds while the
    database transaction fails.
 7. Add unit/API tests for trusted tenant derivation, CSV validation, idempotency,
-   `202 Accepted`, and tenant-scoped status. Add MinIO adapter integration tests
+   the terminal `201 Created` response, and tenant-scoped status. Add MinIO adapter integration tests
    for server-derived private object paths and compensation behavior.
 
-**Exit criteria:** an authenticated CSV upload creates a private object, a queued
-job, and an unpublished outbox event; a tenant cannot retrieve another tenant's
-file status; the HTTP path does not publish directly to RabbitMQ.
+**Exit criteria:** an authenticated CSV upload creates a private object and a
+`running` job row committed before any ingestion work; a tenant cannot retrieve
+another tenant's file status.
 
-### Phase 4: RabbitMQ and outbox publisher
+### Phase 4: Bounded execution primitives
 
-1. Provision/verify the application-owned RabbitMQ topic exchange, queue, and
-   binding configuration through deployment/bootstrap code rather than route
-   startup side effects.
-2. Implement an outbox-publisher process that safely claims unpublished events,
-   publishes them with the stable event id using publisher confirms, and records
-   success/failure attempts.
-3. RabbitMQ has no broker-native message de-duplication; retain idempotency in
-   all consumers as the sole guard against duplicate processing.
-4. Add monitoring/logging for publish attempts, unpublished-event age, and
-   repeated failures.
-5. Add unit tests for event claiming and retryable failures, then Testcontainers
-   RabbitMQ integration tests for durable publication, restart/retry, duplicate
-   publication, and message metadata.
+1. Add the async embedding ports and adapters in `src/infrastructure/embedding/`,
+   with per-provider batching and an `asyncio.Semaphore` bounding in-flight
+   batches.
+2. Route blocking work (parse, chunk, BM25, `minio`) through
+   `anyio.to_thread.run_sync` with an explicit `CapacityLimiter` created at
+   startup, so ingestion cannot exhaust Starlette's thread pool.
+3. Enforce the request bounds: `INGESTION_MAX_CONCURRENCY` (`503` + `Retry-After`
+   when exceeded), `INGESTION_TIMEOUT_SECONDS` around the whole work phase
+   (`504`), and the size/chunk-count ceiling (`413`) checked before work starts.
+4. Guarantee a bounded failure always writes a terminal job status — a timeout
+   must never leave a job stuck in `running`.
+5. Add unit tests for batching/concurrency limits, timeout-to-terminal-status,
+   and capacity rejection, using scripted embedder fakes.
 
-**Exit criteria:** an outbox event becomes a durable RabbitMQ message after a
-publisher restart; retrying publication cannot create duplicate application work.
+**Exit criteria:** embedding a few hundred chunks issues batched, concurrent
+requests rather than serial ones; exceeding any bound produces the right status
+code and a terminal job row.
 
-### Phase 5: Ingestion worker and Qdrant Chunk/Point CRUD
+### Phase 5: Ingestion execution and Qdrant Chunk/Point CRUD
 
-1. Create a separate worker entrypoint with its own application-lifetime database,
-   MinIO, RabbitMQ, Qdrant, model, and logging clients.
-2. Consume `ingestion.job.created`; reload and validate Postgres records before
-   fetching the MinIO object.
-3. Transition the job from `queued` to `running` conditionally, append progress
-   events, parse CSV, create deterministic chunks, and upsert tenant-scoped
-   Qdrant points.
-4. Mark the job `succeeded` with counters or `failed` with a safe error summary;
-   acknowledge only after final/progress state is persisted.
-5. Make a repeated delivery of the same `ingestion_job_id` safe: no duplicate
-   logical chunks, no incorrect counters, and no transition from a terminal state
-   back to `running`.
+1. Implement the ingestion service called by the route, using the
+   application-lifetime database, MinIO, Qdrant, model, and logging clients.
+2. Validate the persisted records before fetching the MinIO object.
+3. Append progress events, parse CSV, create deterministic chunks, embed them,
+   and upsert tenant-scoped Qdrant points — without holding a Postgres session
+   open across the work.
+4. In a second short transaction, mark the job `succeeded` with counters or
+   `failed` with a safe error summary, then return the terminal response.
+5. Make a retried upload safe: no duplicate logical chunks, no incorrect
+   counters, and no transition from a terminal state back to `running`.
 6. Add unit tests for deterministic CSV chunks, point IDs, and terminal job
-   transitions. Add Testcontainers Qdrant and RabbitMQ integration tests for
-   tenant-filtered upserts, acknowledgement after durable state, redelivery, and
+   transitions. Add Testcontainers Qdrant and Postgres integration tests for
+   tenant-filtered upserts, terminal state persistence, retrying an upload, and
    parser/Qdrant failure handling.
 
-**Exit criteria:** a successful upload reaches `succeeded`, and its points are
-retrievable only under the owning tenant's Qdrant filter. Forced worker failure
-and message redelivery produce a correct final job state.
+**Exit criteria:** a successful upload returns `201` with a terminal status, and
+its points are retrievable only under the owning tenant's Qdrant filter. A forced
+failure mid-ingestion produces a `failed` job and the right HTTP status, and
+retrying the upload produces a correct final state without duplicate chunks.
 
 ### Phase 6: Operations, integration tests, and documentation
 
-1. Add an operator runbook covering local startup, migrations, MinIO bucket setup,
-   RabbitMQ exchange/queue setup, web/worker/outbox commands, and job replay.
-2. Add a serialized Compose-based operational smoke test where the web process,
-   outbox publisher, and worker run independently for upload through indexed
-   points. Testcontainers remains the standard pytest mechanism for individual
-   adapter integration tests.
-3. Add end-to-end tests for duplicate upload, duplicate RabbitMQ delivery, outbox
-   publisher crash/restart, worker crash/restart, tenant isolation, and failed
-   parser/Qdrant behavior.
+1. Add an operator runbook covering local startup, migrations, MinIO bucket
+   setup, the run command, ingestion-bound tuning, the proxy/client timeout
+   requirement, and how to retry a failed ingestion.
+2. Add a serialized Compose-based operational smoke test covering upload through
+   indexed points against the running web process. Testcontainers remains the
+   standard pytest mechanism for individual adapter integration tests.
+3. Add end-to-end tests for duplicate upload, retrying a failed upload, tenant
+   isolation, capacity/timeout rejection, and failed parser/Qdrant behavior.
 4. Add health/readiness checks that distinguish process health from dependency
    readiness.
 5. Update the README with local-start instructions and links to ADRs, this plan,
@@ -274,10 +285,11 @@ covered by automated tests:
 ```text
 POST /v1/files (authenticated CSV upload)
   -> raw bytes stored privately in MinIO
-  -> source file, queued job, and outbox event committed in Postgres
-  -> outbox publisher writes a durable RabbitMQ message
-  -> ingestion worker processes and indexes deterministic Qdrant points
+  -> source file and running job committed in Postgres, connection released
+  -> parse/chunk on threads, embed in bounded concurrent batches
+  -> deterministic Qdrant points upserted
   -> Postgres records progress and terminal job status
+  -> 201 Created returns the terminal result in the same request
   -> GET /v1/files/{file_id} reports that status within the owning tenant only
 ```
 

docs/plans/002-point-crud-and-keyword-search.md

@@ -0,0 +1,285 @@
+# 002. Point CRUD and keyword-search implementation plan
+
+## Purpose
+
+This plan covers the milestone named at the end of
+[plan 001](001-ingestion-vertical-slice.md): direct, fine-grained management of
+individual Qdrant points through `/v1/points`, plus filter/keyword search over
+them. Ingestion (plan 001) writes points in bulk; this slice lets a human or
+admin frontend read, edit, reorder, and soft-delete them one at a time, under
+the same tenant isolation.
+
+This is an implementation plan, not an Architecture Decision Record. The ADRs
+explain why the collection schema, endpoints, and isolation rules are what they
+are; this document defines order, scope, and verification criteria.
+
+## Prerequisite
+
+Plan 001 must be complete through **Phase 5** before Phase 3 of this plan
+starts. Specifically this plan depends on: the `chunks` collection and its
+payload indexes actually existing, API-key authentication and `AuthContext`
+tenant derivation, the application-lifetime Qdrant client from the FastAPI
+lifespan, and the request-lifetime `AsyncSession` wiring. Phases 1–2 below
+(schemas and the read paths) can be built against the collection alone and do
+not need the full ingestion path.
+
+## Architecture baseline
+
+| System | Responsibility |
+|---|---|
+| FastAPI | HTTP boundary, auth, tenant derivation, request/response schemas, scope checks. |
+| Points application service | Point CRUD semantics: soft delete, ordering, neighbor relinking, optimistic concurrency. |
+| Qdrant | The only store for point content, vectors, and payload. |
+| Postgres | Audit of mutating operations. It does **not** hold a mirror of point state. |
+
+The controlling ADRs are:
+
+- [ADR-0001](../adr/0001-ingestion-pipeline-and-collection-schema.md): the
+  `chunks` collection, payload schema, payload indexes, deterministic point IDs,
+  `order_id` as a fractional float, and the
+  `previous_chunk_id`/`next_chunk_id` adjacency pointers.
+- [ADR-0002](../adr/0002-chunk-crud-and-search-api.md): the CRUD operation set,
+  soft-delete-by-default, reorder semantics, keyword search vs. semantic search,
+  and `version`-based optimistic concurrency.
+- [ADR-0008](../adr/0008-rest-api-and-fastapi-boundary.md): the `/v1/points`
+  REST surface, `GET /v1/files/{file_id}/points`,
+  `DELETE /v1/files/{file_id}`, and the `points:read`/`points:write` scopes.
+- [ADR-0012](../adr/0012-application-resource-lifetime-and-dependency-ownership.md):
+  the Qdrant client is application-lifetime and injected, never constructed per
+  request.
+- [ADR-0015](../adr/0015-modular-monolith-package-architecture.md): routes call
+  `application/points/`, which calls a port implemented in
+  `infrastructure/qdrant/`. Routers never build Qdrant filters or call the SDK.
+- [ADR-0016](../adr/0016-testing-strategy-and-quality-gates.md): unit tests
+  against a fake point port; Testcontainers Qdrant for the adapter.
+
+ADR-0001 through 0004 are Accepted; 0008, 0012, 0015, and 0016 are still
+Proposed. Treat the proposed ones as the implementation baseline only once the
+project owner accepts them, and update the ADR rather than diverging silently.
+
+## Scope
+
+### In scope
+
+- `POST /v1/points`, `GET /v1/points/{point_id}`, `PUT /v1/points/{point_id}`,
+  `PATCH /v1/points/{point_id}/payload`, `DELETE /v1/points/{point_id}`.
+- `GET /v1/points?file_id=...` (scroll, `order_by: order_id`, paginated),
+  `GET /v1/points/count`, `GET /v1/points/search?q=...`.
+- `PATCH /v1/points/{point_id}/order` with correct neighbor relinking.
+- `POST /v1/points/batch` for bulk multi-operation edits.
+- `GET /v1/files/{file_id}/points` and `DELETE /v1/files/{file_id}`
+  (bulk soft delete of a file's points), from ADR-0008.
+- Soft delete as the default for every delete path, with neighbor relinking.
+- Optimistic concurrency on every mutating path via the `version` payload field.
+- Audit rows in Postgres for mutating operations.
+- Automated tests for tenant isolation, pointer integrity, concurrency
+  conflicts, and pagination.
+
+### Explicitly out of scope
+
+- Hybrid dense+sparse retrieval, RRF fusion, and late-interaction rerank
+  (ADR-0003/0005) — that is the next plan, 003. `GET /v1/points/search` here is
+  **keyword/filter matching only**; do not let it grow a semantic mode.
+- Re-embedding a point on content edit (see the open decision below).
+- Hard deletion / compliance purge endpoints.
+- The LangGraph conversational API (ADR-0006/0007).
+- A frontend.
+
+## Required invariants
+
+1. `tenant_id` comes from the authenticated context and is injected into every
+   filter server-side — on reads *and* writes, on every code path. A
+   `tenant_id`, or any payload key that would override it, appearing in a
+   request body or query string is rejected, never honored.
+2. Cross-tenant access returns `404`, not `403` — the same rule plan 001 applies
+   to files. A caller must not be able to probe for the existence of another
+   tenant's point IDs.
+3. Soft delete is the default: `is_active=false` + `deleted_at` via
+   `set_payload`. Points are never removed from Qdrant by any endpoint in this
+   slice.
+4. Reads exclude inactive points unless the caller explicitly opts in.
+5. Any operation that changes a point's position or removes it from the sequence
+   — insert, reorder, delete — updates the affected neighbors'
+   `previous_chunk_id`/`next_chunk_id` in the **same** `points/batch` request.
+   A partial relink is a defect: ADR-0003's context-window expansion walks these
+   pointers.
+6. Point IDs stay derived from `file_id` + the immutable `chunk_index`.
+   Reordering changes `order_id` only, never the point ID.
+7. Every mutating operation is guarded by the `version` payload field via
+   Qdrant's `update_filter`, and increments it. A stale write returns `409`,
+   it does not silently clobber.
+8. `order_id` is a fractional float. Inserting or moving a point assigns a value
+   between its two new neighbors; it never renumbers siblings.
+9. Routers contain no Qdrant SDK calls and no filter construction. The Qdrant
+   client is injected from the lifespan (ADR-0012).
+
+## Decisions needed before the affected phase
+
+### Re-embedding on content edit (blocks Phase 4)
+
+`PUT /v1/points/{point_id}` can change `content`. The stored vectors then no
+longer match the text. Three options, in order of preference:
+
+1. **Re-embed inline** on content change, reusing plan 001's embedding ports and
+   bounds. Consistent, but puts embedder latency and `502`/`504` failure modes
+   on an admin edit path.
+2. **Require caller-supplied vectors** when content changes, and reject the edit
+   otherwise. Simple and honest, but pushes model knowledge to the client.
+3. **Mark the point stale** (a payload flag) and re-embed later. Needs
+   background work, which ADR-0017 currently rules out.
+
+Default to (1) for parity with ingestion, with the same batch/semaphore bounds
+and the same status codes. Record whichever is chosen in ADR-0002 before
+implementing Phase 4 — this is a real behavioral contract, not an
+implementation detail.
+
+### Fractional-key exhaustion
+
+ADR-0001 notes float keys eventually need renormalization. Decide now whether
+this slice ships a renormalize path (an internal operation rewriting a file's
+`order_id` values to `1000, 2000, 3000, ...`) or explicitly defers it with a
+logged warning when the gap between neighbors falls under a threshold. Deferring
+is acceptable; silently producing unrepresentable gaps is not.
+
+### Batch semantics
+
+`POST /v1/points/batch` must define, in the API schema and the tests: whether
+operations are all-or-nothing, what happens when operation 3 of 5 fails a
+version check, and the maximum operation count per request. Decide before
+Phase 5; do not let the answer be "whatever Qdrant happened to do."
+
+## Build order
+
+### Phase 1: Point contracts and the port
+
+1. Define the payload model in `src/application/points/` mirroring ADR-0001's
+   field list exactly, with the reserved/server-owned fields (`tenant_id`,
+   `version`, `chunk_index`, `deleted_at`) separated from caller-writable ones.
+2. Define the point port: get, upsert, set payload, scroll, count, keyword
+   search, batch. Tenant filter is a required parameter on every method — not an
+   optional argument a caller can forget.
+3. Implement the Qdrant adapter behind the port in
+   `src/infrastructure/qdrant/`, using the injected application-lifetime client.
+4. Add a fake port implementation for unit tests, with ordering and version
+   behavior faithful enough to test the service against.
+5. Define the Pydantic request/response schemas in `src/api/schemas/`. Vectors
+   are returned only when explicitly requested (ADR-0008).
+
+**Exit criteria:** the service layer can be unit-tested end to end against the
+fake; a Testcontainers Qdrant test confirms the adapter's filter construction
+and `order_by` scroll match the fake's semantics.
+
+### Phase 2: Read paths
+
+1. `GET /v1/points/{point_id}` — tenant-filtered retrieve; `404` when the point
+   belongs to another tenant or does not exist.
+2. `GET /v1/points?file_id=...` — scroll with `order_by: order_id`, stable
+   pagination, `is_active: true` implied.
+3. `GET /v1/files/{file_id}/points` — same listing, addressed by file.
+4. `GET /v1/points/count` — tenant/domain-filtered count.
+5. `GET /v1/points/search?q=...` — full-text payload match on `content` plus
+   structured filters. Name the response and docstring so it cannot be mistaken
+   for semantic retrieval.
+6. Enforce `points:read` scope on all of the above.
+7. Tests: tenant isolation returns `404`; inactive points are excluded by
+   default and included on explicit opt-in; pagination does not skip or repeat
+   under a concurrent insert.
+
+**Exit criteria:** a tenant can list and search only its own active points, in
+display order, with correct paging.
+
+### Phase 3: Soft delete and neighbor relinking
+
+1. Implement the relinking primitive in the service: given a point leaving the
+   sequence, compute the neighbor payload updates and emit them with the
+   deactivation in one `points/batch` call.
+2. `DELETE /v1/points/{point_id}` — soft delete plus relink.
+3. `DELETE /v1/files/{file_id}` — bulk soft delete of a file's active points.
+   The whole file leaves the sequence, so the boundary pointers must end
+   consistent (typically all null within that file).
+4. Deleting an already-inactive point is a no-op success, not a `404` and not a
+   second relink.
+5. Tests: after deleting a middle point, its old neighbors point at each other;
+   after deleting the first point, the new first has a null
+   `previous_chunk_id`; a full traversal of a file's pointer chain after a
+   series of deletes visits every active point exactly once and never enters an
+   inactive one.
+
+**Exit criteria:** no delete path can leave a stale or dangling pointer, and
+none removes a point from Qdrant.
+
+### Phase 4: Create, replace, and payload update
+
+1. `POST /v1/points` — create one point. Server assigns `tenant_id`, `version`,
+   and the derived point ID; the caller supplies content, position, and
+   metadata. Insert relinks neighbors like a reorder does.
+2. `PUT /v1/points/{point_id}` — upsert with `update_only`, guarded by
+   `version` via `update_filter`; `409` on a stale version. Apply the
+   re-embedding decision above.
+3. `PATCH /v1/points/{point_id}/payload` — payload-only update. Reject attempts
+   to write server-owned fields.
+4. Enforce `points:write` scope; write an audit row per mutation
+   (tenant, actor, point, operation, resulting version).
+5. Tests: concurrent writers at the same version — one succeeds, one gets `409`
+   and does not mutate; a `tenant_id` or `version` in the request body is
+   rejected; a create lands in the right sequence position.
+
+**Exit criteria:** manual edits and ingestion re-runs cannot silently clobber
+each other; server-owned fields are unwritable through any endpoint.
+
+### Phase 5: Reorder and batch
+
+1. `PATCH /v1/points/{point_id}/order` — assign a new fractional `order_id`
+   between the new neighbors and relink up to four points in one
+   `points/batch`, per ADR-0002.
+2. Handle the boundary moves (to first, to last) and the no-op move
+   (already in that position).
+3. Implement the fractional-gap decision from above.
+4. `POST /v1/points/batch` with the semantics decided above, including the
+   per-request operation cap.
+5. Tests: a randomized sequence of inserts, moves, and deletes leaves the
+   `order_id` ordering and the pointer chain agreeing with each other after
+   every step — this property test is the main defense for this phase.
+
+**Exit criteria:** display order derived from `order_id` and traversal order
+derived from the pointer chain are identical for every file, after any sequence
+of mutations.
+
+### Phase 6: Integration tests, operations, and documentation
+
+1. Testcontainers Qdrant integration tests for each endpoint's real filter and
+   ordering behavior, isolated per test by unique collection or tenant keys.
+2. An end-to-end test crossing plan 001 and this slice: ingest a CSV, list its
+   points, reorder one, soft-delete another, re-upload the same file, and assert
+   the manual edits interact with re-ingestion exactly as ADR-0001/0002 specify.
+   If that interaction is not yet decided, this test is what forces the decision.
+3. Structured logging at the mutation boundary with stable event names
+   (`points.updated`, `points.reordered`, `points.soft_deleted`) carrying
+   `request_id`, `tenant_id`, `file_id`, and the resulting version.
+4. Extend the operator runbook: how to inspect a file's point sequence, how to
+   spot a broken pointer chain, and how to recover one.
+5. Update the README and ADR-0002 with anything this implementation settled.
+
+**Exit criteria:** every endpoint has an integration test against real Qdrant,
+and an operator can diagnose an ordering problem from the logs and the runbook.
+
+## Definition of done
+
+This slice is done when, in local Compose and under automated test:
+
+```text
+ingest a CSV (plan 001)
+  -> GET /v1/points?file_id=...      lists its active points in order_id order
+  -> PATCH .../order                 moves one point; order_id and the
+                                     previous/next chain still agree
+  -> PUT /v1/points/{id}             edits content under a version guard;
+                                     a stale write gets 409
+  -> DELETE /v1/points/{id}          soft-deletes and relinks neighbors
+  -> GET /v1/points/search?q=...     keyword-matches content within the tenant
+  -> every one of the above          returns 404, not 403, for another tenant
+```
+
+The next plan (003) is agent hybrid retrieval — three prefetches, RRF fusion,
+late-interaction rerank, and context-window expansion over the pointer chain
+this slice is responsible for keeping correct (ADR-0003, ADR-0005). Do not pull
+any of it into this plan.

pyproject.toml

@@ -5,12 +5,16 @@ description = "Add your description here"
 readme = "README.md"
 requires-python = ">=3.13"
 dependencies = [
-    "aio-pika>=9.5.0",
     "alembic>=1.19.1",
+    "anyio>=4.11.0",
+    "asyncpg>=0.31.0",
     "fastapi[standard]==0.141.1",
     "langgraph>=1.2.10",
+    "minio>=7.2.20",
     "pydantic-settings>=2.15.0",
+    "qdrant-client>=1.19.0",
     "sqlalchemy>=2.0.51",
+    "structlog>=26.1.0",
 ]
 
 [dependency-groups]
@@ -36,7 +40,6 @@ markers = [
     "e2e: end-to-end vertical-slice tests",
     "postgres: integration test using Postgres",
     "minio: integration test using MinIO",
-    "rabbitmq: integration test using RabbitMQ",
     "qdrant: integration test using Qdrant",
     "slow: test exceeds normal integration feedback time",
     "live_provider: opt-in test that calls an external provider",

src/api/router.py

@@ -0,0 +1,3 @@
+from fastapi import APIRouter
+
+router = APIRouter()

src/api/routers/health.py

@@ -0,0 +1,36 @@
+import asyncio
+
+from fastapi import APIRouter, Request, Response, status
+
+from src.bootstrap.dependencies import AppResources
+from src.infrastructure.minio.client import ping as ping_minio
+from src.infrastructure.postgres.database import ping as ping_postgres
+from src.infrastructure.qdrant.client import ping as ping_qdrant
+
+router = APIRouter(tags=["health"])
+
+
+@router.get("/healthz")
+async def healthz() -> dict[str, str]:
+    return {"status": "ok"}
+
+
+@router.get("/readyz")
+async def readyz(request: Request, response: Response) -> dict[str, bool]:
+    resources: AppResources = request.app.state.resources
+    timeout = resources.settings.app.readiness_check_timeout_seconds
+
+    postgres_ready, minio_ready, qdrant_ready = await asyncio.gather(
+        ping_postgres(resources.db_engine, timeout),
+        ping_minio(resources.minio_client, timeout),
+        ping_qdrant(resources.qdrant_client, timeout),
+    )
+
+    result = {
+        "postgres": postgres_ready,
+        "minio": minio_ready,
+        "qdrant": qdrant_ready,
+    }
+    if not all(result.values()):
+        response.status_code = status.HTTP_503_SERVICE_UNAVAILABLE
+    return result

src/bootstrap/dependencies.py

@@ -0,0 +1,44 @@
+from collections.abc import AsyncIterator
+from dataclasses import dataclass
+
+from fastapi import Request
+from minio import Minio
+from qdrant_client import AsyncQdrantClient
+from sqlalchemy.ext.asyncio import AsyncEngine, AsyncSession, async_sessionmaker
+
+from src.config import Settings
+
+
+@dataclass
+class AppResources:
+    settings: Settings
+    db_engine: AsyncEngine
+    db_sessionmaker: async_sessionmaker[AsyncSession]
+    minio_client: Minio
+    qdrant_client: AsyncQdrantClient
+
+
+def _resources(request: Request) -> AppResources:
+    return request.app.state.resources
+
+
+def get_settings(request: Request) -> Settings:
+    return _resources(request).settings
+
+
+def get_minio_client(request: Request) -> Minio:
+    return _resources(request).minio_client
+
+
+def get_qdrant_client(request: Request) -> AsyncQdrantClient:
+    return _resources(request).qdrant_client
+
+
+async def get_db_session(request: Request) -> AsyncIterator[AsyncSession]:
+    sessionmaker = _resources(request).db_sessionmaker
+    async with sessionmaker() as session:
+        try:
+            yield session
+        except Exception:
+            await session.rollback()
+            raise

src/bootstrap/lifespan.py

@@ -0,0 +1,56 @@
+from collections.abc import AsyncIterator, Callable
+from contextlib import AbstractAsyncContextManager, asynccontextmanager
+
+import structlog
+from fastapi import FastAPI
+
+from src.bootstrap.dependencies import AppResources
+from src.config import Settings
+from src.infrastructure.minio.client import create_client as create_minio_client
+from src.infrastructure.observability.logging import configure_logging
+from src.infrastructure.postgres.database import create_engine, create_sessionmaker
+from src.infrastructure.qdrant.client import create_client as create_qdrant_client
+
+logger = structlog.get_logger(__name__)
+
+
+def create_lifespan(
+    settings: Settings | None = None,
+) -> Callable[[FastAPI], AbstractAsyncContextManager[None, bool | None]]:
+    @asynccontextmanager
+    async def lifespan(app: FastAPI) -> AsyncIterator[None]:
+        resolved_settings = settings or Settings()
+        configure_logging(resolved_settings.logging)
+
+        db_engine = create_engine(resolved_settings.postgres)
+        db_sessionmaker = create_sessionmaker(db_engine)
+        logger.info("lifespan.postgres.engine.created")
+
+        minio_client = create_minio_client(resolved_settings.minio)
+        logger.info("lifespan.minio.client.created")
+
+        qdrant_client = create_qdrant_client(resolved_settings.qdrant)
+        logger.info("lifespan.qdrant.client.created")
+
+        app.state.resources = AppResources(
+            settings=resolved_settings,
+            db_engine=db_engine,
+            db_sessionmaker=db_sessionmaker,
+            minio_client=minio_client,
+            qdrant_client=qdrant_client,
+        )
+
+        try:
+            yield
+        finally:
+            try:
+                await db_engine.dispose()
+            except Exception:
+                logger.exception("lifespan.postgres.dispose.failed")
+
+            try:
+                await qdrant_client.close()
+            except Exception:
+                logger.exception("lifespan.qdrant.close.failed")
+
+    return lifespan

src/config.py

@@ -1,5 +1,76 @@
-from pydantic_settings import BaseSettings
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class PostgresSettings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="POSTGRES_", extra="ignore")
+
+    host: str = "127.0.0.1"
+    port: int = 5433
+    user: str = "chatbot"
+    password: str = "chatbot"
+    db: str = "chatbot"
+
+    @property
+    def dsn(self) -> str:
+        return f"postgresql+asyncpg://{self.user}:{self.password}@{self.host}:{self.port}/{self.db}"
+
+
+class MinioSettings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="MINIO_", extra="ignore")
+
+    endpoint: str = "127.0.0.1:9100"
+    access_key: str = "chatbot"
+    secret_key: str = "chatbot-secret"
+    secure: bool = False
+    bucket: str = "chatbot-source-files"
+
+
+class IngestionSettings(BaseSettings):
+    """Bounds on inline ingestion (ADR-0017).
+
+    `timeout_seconds` must stay below the proxy/load-balancer/client read
+    timeouts, or callers give up on work that is still succeeding.
+    """
+
+    model_config = SettingsConfigDict(env_prefix="INGESTION_", extra="ignore")
+
+    max_concurrency: int = 4
+    thread_pool_size: int = 8
+    timeout_seconds: float = 120.0
+    max_chunks_per_file: int = 5000
+    embed_batch_size: int = 128
+    embed_concurrency: int = 4
+
+
+class QdrantSettings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="QDRANT_", extra="ignore")
+
+    url: str = "http://127.0.0.1:6343"
+    api_key: str | None = None
+
+
+class AppLimitSettings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="APP_", extra="ignore")
+
+    env: str = "local"
+    max_upload_size_mb: int = 25
+    readiness_check_timeout_seconds: float = 2.0
+
+
+class LoggingSettings(BaseSettings):
+    model_config = SettingsConfigDict(env_prefix="LOG_", extra="ignore")
+
+    level: str = "INFO"
+    json_format: bool = False
 
 
 class Settings(BaseSettings):
-    pass
+    model_config = SettingsConfigDict(env_file=".env", extra="ignore")
+
+    postgres: PostgresSettings = Field(default_factory=PostgresSettings)
+    minio: MinioSettings = Field(default_factory=MinioSettings)
+    ingestion: IngestionSettings = Field(default_factory=IngestionSettings)
+    qdrant: QdrantSettings = Field(default_factory=QdrantSettings)
+    app: AppLimitSettings = Field(default_factory=AppLimitSettings)
+    logging: LoggingSettings = Field(default_factory=LoggingSettings)

src/infrastructure/minio/client.py

@@ -0,0 +1,23 @@
+import asyncio
+
+from minio import Minio
+
+from src.config import MinioSettings
+
+
+def create_client(settings: MinioSettings) -> Minio:
+    return Minio(
+        settings.endpoint,
+        access_key=settings.access_key,
+        secret_key=settings.secret_key,
+        secure=settings.secure,
+    )
+
+
+async def ping(client: Minio, timeout: float) -> bool:
+    try:
+        async with asyncio.timeout(timeout):
+            await asyncio.to_thread(client.bucket_exists, "healthcheck-probe")
+    except Exception:
+        return False
+    return True

src/infrastructure/observability/logging.py

@@ -0,0 +1,84 @@
+import logging
+import logging.config
+import sys
+
+import structlog
+
+from src.config import LoggingSettings
+
+
+def configure_logging(settings: LoggingSettings) -> None:
+    shared_processors = [
+        structlog.contextvars.merge_contextvars,
+        structlog.stdlib.add_log_level,
+        structlog.stdlib.add_logger_name,
+        structlog.processors.TimeStamper(fmt="iso", utc=True),
+        structlog.processors.StackInfoRenderer(),
+    ]
+
+    structlog.configure(
+        processors=[
+            *shared_processors,
+            structlog.processors.format_exc_info,
+            structlog.stdlib.ProcessorFormatter.wrap_for_formatter,
+        ],
+        logger_factory=structlog.stdlib.LoggerFactory(),
+        wrapper_class=structlog.stdlib.BoundLogger,
+        cache_logger_on_first_use=True,
+    )
+
+    renderer = (
+        structlog.processors.JSONRenderer()
+        if settings.json_format
+        else structlog.dev.ConsoleRenderer(colors=True)
+    )
+
+    logging.config.dictConfig(
+        {
+            "version": 1,
+            "disable_existing_loggers": False,
+            "formatters": {
+                "default": {
+                    "()": structlog.stdlib.ProcessorFormatter,
+                    "processors": [
+                        structlog.stdlib.ProcessorFormatter.remove_processors_meta,
+                        renderer,
+                    ],
+                    "foreign_pre_chain": [
+                        structlog.stdlib.ExtraAdder(),
+                        *shared_processors,
+                    ],
+                },
+            },
+            "handlers": {
+                "console": {
+                    "class": "logging.StreamHandler",
+                    "level": settings.level,
+                    "formatter": "default",
+                    "stream": sys.stdout,
+                },
+            },
+            "loggers": {
+                "": {
+                    "handlers": ["console"],
+                    "level": settings.level,
+                    "propagate": False,
+                },
+                "uvicorn": {
+                    "handlers": ["console"],
+                    "level": settings.level,
+                    "propagate": False,
+                },
+                "uvicorn.access": {
+                    "handlers": ["console"],
+                    "level": settings.level,
+                    "propagate": False,
+                },
+                "sqlalchemy.engine": {
+                    "handlers": ["console"],
+                    "level": "WARNING",
+                    "propagate": False,
+                },
+            },
+        }
+    )

src/infrastructure/postgres/database.py

@@ -0,0 +1,28 @@
+import asyncio
+
+from sqlalchemy import text
+from sqlalchemy.ext.asyncio import (
+    AsyncEngine,
+    AsyncSession,
+    async_sessionmaker,
+    create_async_engine,
+)
+
+from src.config import PostgresSettings
+
+
+def create_engine(settings: PostgresSettings) -> AsyncEngine:
+    return create_async_engine(settings.dsn)
+
+
+def create_sessionmaker(engine: AsyncEngine) -> async_sessionmaker[AsyncSession]:
+    return async_sessionmaker(engine, expire_on_commit=False)
+
+
+async def ping(engine: AsyncEngine, timeout: float) -> bool:
+    try:
+        async with asyncio.timeout(timeout), engine.connect() as connection:
+            await connection.execute(text("SELECT 1"))
+    except Exception:
+        return False
+    return True

src/infrastructure/postgres/models/__init__.py

@@ -0,0 +1,15 @@
+from src.infrastructure.postgres.models.api_key import ApiKey
+from src.infrastructure.postgres.models.base import Base
+from src.infrastructure.postgres.models.ingestion_job import IngestionJob
+from src.infrastructure.postgres.models.ingestion_job_event import IngestionJobEvent
+from src.infrastructure.postgres.models.source_file import SourceFile
+from src.infrastructure.postgres.models.tenant import Tenant
+
+__all__ = [
+    "ApiKey",
+    "Base",
+    "IngestionJob",
+    "IngestionJobEvent",
+    "SourceFile",
+    "Tenant",
+]

src/infrastructure/postgres/models/api_key.py

@@ -0,0 +1,41 @@
+import uuid
+from datetime import datetime
+
+from sqlalchemy import CheckConstraint, DateTime, ForeignKey, Index, String, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from src.infrastructure.postgres.models.base import Base
+
+API_KEY_ACTOR_TYPES = ("backend", "admin", "worker")
+API_KEY_STATUSES = ("active", "revoked", "expired")
+
+
+class ApiKey(Base):
+    __tablename__ = "api_keys"
+    __table_args__ = (
+        CheckConstraint(f"actor_type IN {API_KEY_ACTOR_TYPES}", name="ck_api_keys_actor_type"),
+        CheckConstraint(f"status IN {API_KEY_STATUSES}", name="ck_api_keys_status"),
+        Index("ix_api_keys_tenant_id_status", "tenant_id", "status"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(primary_key=True)
+    tenant_id: Mapped[uuid.UUID] = mapped_column(
+        ForeignKey("tenants.id", ondelete="CASCADE"), index=True
+    )
+    name: Mapped[str] = mapped_column(String(200))
+    key_prefix: Mapped[str] = mapped_column(String(32), unique=True, index=True)
+    key_hash: Mapped[str] = mapped_column(String(255))
+    scopes: Mapped[list[str]] = mapped_column(JSONB, default=list, server_default="[]")
+    actor_type: Mapped[str] = mapped_column(String(20), default="backend", server_default="backend")
+    status: Mapped[str] = mapped_column(String(20), default="active", server_default="active")
+
+    expires_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)
+    revoked_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)
+    last_used_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)
+
+    created_by: Mapped[str | None] = mapped_column(String(200), default=None)
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
+    )

src/infrastructure/postgres/models/base.py

@@ -0,0 +1,5 @@
+from sqlalchemy.orm import DeclarativeBase
+
+
+class Base(DeclarativeBase):
+    pass

src/infrastructure/postgres/models/ingestion_job.py

@@ -0,0 +1,59 @@
+import uuid
+from datetime import datetime
+
+from sqlalchemy import CheckConstraint, DateTime, ForeignKey, Index, Integer, String, Text, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from src.infrastructure.postgres.models.base import Base
+
+INGESTION_JOB_STATUSES = ("queued", "running", "succeeded", "failed", "cancelled")
+INGESTION_CHUNKING_STRATEGIES = ("semantic", "fixed_size")
+
+
+class IngestionJob(Base):
+    __tablename__ = "ingestion_jobs"
+    __table_args__ = (
+        CheckConstraint(f"status IN {INGESTION_JOB_STATUSES}", name="ck_ingestion_jobs_status"),
+        CheckConstraint(
+            f"chunking_strategy IN {INGESTION_CHUNKING_STRATEGIES}",
+            name="ck_ingestion_jobs_chunking_strategy",
+        ),
+        Index("ix_ingestion_jobs_tenant_id_status_created_at", "tenant_id", "status", "created_at"),
+        Index("ix_ingestion_jobs_source_file_id_created_at", "source_file_id", "created_at"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(primary_key=True)
+    tenant_id: Mapped[uuid.UUID] = mapped_column(
+        ForeignKey("tenants.id", ondelete="CASCADE"), index=True
+    )
+    source_file_id: Mapped[uuid.UUID] = mapped_column(
+        ForeignKey("source_files.id", ondelete="CASCADE"), index=True
+    )
+    requested_by_api_key_id: Mapped[uuid.UUID | None] = mapped_column(
+        ForeignKey("api_keys.id", ondelete="SET NULL"), default=None
+    )
+    status: Mapped[str] = mapped_column(String(20), default="queued", server_default="queued")
+    chunking_strategy: Mapped[str | None] = mapped_column(String(20), default=None)
+    embedding_model_versions: Mapped[dict[str, object]] = mapped_column(
+        JSONB, default=dict, server_default="{}"
+    )
+
+    started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)
+    completed_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)
+
+    points_created: Mapped[int] = mapped_column(Integer, default=0, server_default="0")
+    points_updated: Mapped[int] = mapped_column(Integer, default=0, server_default="0")
+    points_soft_deleted: Mapped[int] = mapped_column(Integer, default=0, server_default="0")
+    points_skipped: Mapped[int] = mapped_column(Integer, default=0, server_default="0")
+
+    error_code: Mapped[str | None] = mapped_column(String(100), default=None)
+    error_message: Mapped[str | None] = mapped_column(Text, default=None)
+    metadata_: Mapped[dict[str, object]] = mapped_column(
+        "metadata", JSONB, default=dict, server_default="{}"
+    )
+
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
+    )

src/infrastructure/postgres/models/ingestion_job_event.py

@@ -0,0 +1,47 @@
+import uuid
+from datetime import datetime
+
+from sqlalchemy import CheckConstraint, DateTime, ForeignKey, Index, String, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from src.infrastructure.postgres.models.base import Base
+
+INGESTION_JOB_EVENT_LEVELS = ("info", "warning", "error")
+INGESTION_JOB_EVENT_STAGES = (
+    "received",
+    "parsed",
+    "chunked",
+    "embedded",
+    "upserted",
+    "completed",
+)
+
+
+class IngestionJobEvent(Base):
+    __tablename__ = "ingestion_job_events"
+    __table_args__ = (
+        CheckConstraint(
+            f"level IN {INGESTION_JOB_EVENT_LEVELS}", name="ck_ingestion_job_events_level"
+        ),
+        CheckConstraint(
+            f"stage IN {INGESTION_JOB_EVENT_STAGES}", name="ck_ingestion_job_events_stage"
+        ),
+        Index(
+            "ix_ingestion_job_events_ingestion_job_id_created_at", "ingestion_job_id", "created_at"
+        ),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(primary_key=True)
+    tenant_id: Mapped[uuid.UUID] = mapped_column(
+        ForeignKey("tenants.id", ondelete="CASCADE"), index=True
+    )
+    ingestion_job_id: Mapped[uuid.UUID] = mapped_column(
+        ForeignKey("ingestion_jobs.id", ondelete="CASCADE"), index=True
+    )
+    level: Mapped[str] = mapped_column(String(10))
+    stage: Mapped[str] = mapped_column(String(20))
+    message: Mapped[str] = mapped_column(String(1000))
+    details: Mapped[dict[str, object]] = mapped_column(JSONB, default=dict, server_default="{}")
+
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())

src/infrastructure/postgres/models/source_file.py

@@ -0,0 +1,41 @@
+import uuid
+from datetime import datetime
+
+from sqlalchemy import BigInteger, CheckConstraint, DateTime, ForeignKey, Index, String, func
+from sqlalchemy.orm import Mapped, mapped_column
+
+from src.infrastructure.postgres.models.base import Base
+
+SOURCE_FILE_TYPES = ("csv", "xlsx", "docx", "doc")
+SOURCE_FILE_STATUSES = ("active", "superseded", "soft_deleted", "purged")
+
+
+class SourceFile(Base):
+    __tablename__ = "source_files"
+    __table_args__ = (
+        CheckConstraint(f"source_type IN {SOURCE_FILE_TYPES}", name="ck_source_files_source_type"),
+        CheckConstraint(f"status IN {SOURCE_FILE_STATUSES}", name="ck_source_files_status"),
+        Index("ix_source_files_tenant_id_domain_created_at", "tenant_id", "domain", "created_at"),
+        Index("ix_source_files_tenant_id_content_sha256", "tenant_id", "content_sha256"),
+    )
+
+    id: Mapped[uuid.UUID] = mapped_column(primary_key=True)
+    tenant_id: Mapped[uuid.UUID] = mapped_column(
+        ForeignKey("tenants.id", ondelete="CASCADE"), index=True
+    )
+    domain: Mapped[str] = mapped_column(String(80))
+    source_filename: Mapped[str] = mapped_column(String(500))
+    source_type: Mapped[str] = mapped_column(String(10))
+    content_sha256: Mapped[str] = mapped_column(String(64))
+    byte_size: Mapped[int] = mapped_column(BigInteger)
+    storage_uri: Mapped[str | None] = mapped_column(String(1000), default=None)
+    status: Mapped[str] = mapped_column(String(20), default="active", server_default="active")
+
+    created_by_api_key_id: Mapped[uuid.UUID | None] = mapped_column(
+        ForeignKey("api_keys.id", ondelete="SET NULL"), default=None
+    )
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
+    )
+    deleted_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)

src/infrastructure/postgres/models/tenant.py

@@ -0,0 +1,27 @@
+import uuid
+from datetime import datetime
+
+from sqlalchemy import CheckConstraint, DateTime, String, func
+from sqlalchemy.dialects.postgresql import JSONB
+from sqlalchemy.orm import Mapped, mapped_column
+
+from src.infrastructure.postgres.models.base import Base
+
+TENANT_STATUSES = ("active", "suspended", "deleted")
+
+
+class Tenant(Base):
+    __tablename__ = "tenants"
+    __table_args__ = (CheckConstraint(f"status IN {TENANT_STATUSES}", name="ck_tenants_status"),)
+
+    id: Mapped[uuid.UUID] = mapped_column(primary_key=True)
+    slug: Mapped[str] = mapped_column(String(80), unique=True, index=True)
+    name: Mapped[str] = mapped_column(String(200))
+    status: Mapped[str] = mapped_column(String(20), default="active", server_default="active")
+    settings: Mapped[dict[str, object]] = mapped_column(JSONB, default=dict, server_default="{}")
+
+    created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
+    updated_at: Mapped[datetime] = mapped_column(
+        DateTime(timezone=True), server_default=func.now(), onupdate=func.now()
+    )
+    deleted_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), default=None)

src/infrastructure/qdrant/client.py

@@ -0,0 +1,18 @@
+import asyncio
+
+from qdrant_client import AsyncQdrantClient
+
+from src.config import QdrantSettings
+
+
+def create_client(settings: QdrantSettings) -> AsyncQdrantClient:
+    return AsyncQdrantClient(url=settings.url, api_key=settings.api_key)
+
+
+async def ping(client: AsyncQdrantClient, timeout: float) -> bool:
+    try:
+        async with asyncio.timeout(timeout):
+            await client.get_collections()
+    except Exception:
+        return False
+    return True

src/main.py

@@ -0,0 +1,16 @@
+from fastapi import FastAPI
+
+from src.api.router import router as v1_router
+from src.api.routers.health import router as health_router
+from src.bootstrap.lifespan import create_lifespan
+from src.config import Settings
+
+
+def create_app(settings: Settings | None = None) -> FastAPI:
+    app = FastAPI(lifespan=create_lifespan(settings))
+    app.include_router(health_router)
+    app.include_router(v1_router, prefix="/v1")
+    return app
+
+
+app = create_app()

tests/conftest.py

@@ -0,0 +1,37 @@
+from collections.abc import AsyncIterator
+
+import pytest
+import pytest_asyncio
+from asgi_lifespan import LifespanManager
+from fastapi import FastAPI
+from httpx import ASGITransport, AsyncClient
+
+from src.config import Settings
+from src.main import create_app
+
+
+@pytest.fixture
+def settings() -> Settings:
+    return Settings(
+        postgres={"host": "127.0.0.1", "port": 1},
+        minio={"endpoint": "127.0.0.1:1"},
+        ingestion={"timeout_seconds": 1.0},
+        qdrant={"url": "http://127.0.0.1:1"},
+        app={"readiness_check_timeout_seconds": 0.5},
+    )
+
+
+@pytest.fixture
+def app(settings: Settings) -> FastAPI:
+    return create_app(settings)
+
+
+@pytest_asyncio.fixture
+async def client(app: FastAPI) -> AsyncIterator[AsyncClient]:
+    async with (
+        LifespanManager(app) as manager,
+        AsyncClient(
+            transport=ASGITransport(app=manager.app), base_url="http://test"
+        ) as async_client,
+    ):
+        yield async_client

tests/fakes.py

@@ -0,0 +1,5 @@
+"""Hand-written fakes for narrow application-owned ports.
+
+No application ports exist yet (Phase 1 only wires infrastructure client
+lifecycle). Fakes are added here as ports are introduced in later phases.
+"""

tests/support/assertions.py

@@ -0,0 +1 @@
+"""Custom test assertions, populated as later phases need them."""

tests/support/factories.py

@@ -0,0 +1 @@
+"""Object builders for test fixtures, populated as later phases need them."""

tests/unit/bootstrap/test_lifespan.py

@@ -0,0 +1,19 @@
+import pytest
+from fastapi import FastAPI
+from httpx import AsyncClient
+
+from src.config import Settings
+
+pytestmark = [pytest.mark.unit, pytest.mark.asyncio]
+
+
+async def test_lifespan_starts_and_stops_without_docker(client: AsyncClient) -> None:
+    response = await client.get("/healthz")
+    assert response.status_code == 200
+
+
+async def test_lifespan_binds_resources_to_app_state(app: FastAPI, client: AsyncClient) -> None:
+    await client.get("/healthz")
+    resources = app.state.resources
+    assert isinstance(resources.settings, Settings)
+    assert resources.minio_client is not None

tests/unit/test_config.py

@@ -0,0 +1,27 @@
+from pathlib import Path
+
+import pytest
+
+from src.config import Settings
+
+pytestmark = pytest.mark.unit
+
+
+def test_settings_loads_defaults_without_env_file() -> None:
+    settings = Settings(_env_file=None)
+
+    assert settings.postgres.port == 5433
+    assert settings.minio.bucket == "chatbot-source-files"
+    assert settings.ingestion.max_concurrency == 4
+    assert settings.qdrant.url == "http://127.0.0.1:6343"
+
+
+def test_settings_parses_env_example() -> None:
+    env_example = Path(__file__).parent.parent.parent / ".env.example"
+
+    settings = Settings(_env_file=env_example)
+
+    assert settings.postgres.host == "127.0.0.1"
+    assert settings.minio.endpoint == "127.0.0.1:9100"
+    assert settings.ingestion.embed_batch_size == 128
+    assert settings.qdrant.api_key is None

tests/unit/test_healthz.py

@@ -0,0 +1,11 @@
+import pytest
+from httpx import AsyncClient
+
+pytestmark = [pytest.mark.unit, pytest.mark.asyncio]
+
+
+async def test_healthz_returns_ok_status(client: AsyncClient) -> None:
+    response = await client.get("/healthz")
+
+    assert response.status_code == 200
+    assert response.json() == {"status": "ok"}

tests/unit/test_readyz.py

@@ -0,0 +1,17 @@
+import pytest
+from httpx import AsyncClient
+
+pytestmark = [pytest.mark.unit, pytest.mark.asyncio]
+
+
+async def test_readyz_reports_all_dependencies_not_ready_without_docker(
+    client: AsyncClient,
+) -> None:
+    response = await client.get("/readyz")
+
+    assert response.status_code == 503
+    assert response.json() == {
+        "postgres": False,
+        "minio": False,
+        "qdrant": False,
+    }

uv.lock

@@ -6,32 +6,6 @@ resolution-markers = [
     "python_full_version < '3.14'",
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-]
-
-[[package]]
-name = "aiormq"
-version = "7.0.0"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "pamqp" },
-    { name = "yarl" },
-]
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-wheels = [
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-
 [[package]]
 name = "alembic"
 version = "1.19.1"
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 ]
 
+[[package]]
+name = "argon2-cffi"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "argon2-cffi-bindings" },
+]
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+]
+
+[[package]]
+name = "argon2-cffi-bindings"
+version = "25.1.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "cffi" },
+]
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+
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 name = "asgi-lifespan"
 version = "2.1.0"
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+[[package]]
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 [[package]]
@@ -880,12 +1004,16 @@ name = "new-chatbot"
 version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
-    { name = "aio-pika" },
     { name = "alembic" },
+    { name = "anyio" },
+    { name = "asyncpg" },
     { name = "fastapi", extra = ["standard"] },
     { name = "langgraph" },
+    { name = "minio" },
     { name = "pydantic-settings" },
+    { name = "qdrant-client" },
     { name = "sqlalchemy" },
+    { name = "structlog" },
 ]
 
 [package.dev-dependencies]
@@ -903,12 +1031,16 @@ dev = [
 
 [package.metadata]
 requires-dist = [
-    { name = "aio-pika", specifier = ">=9.5.0" },
     { name = "alembic", specifier = ">=1.19.1" },
+    { name = "anyio", specifier = ">=4.11.0" },
+    { name = "asyncpg", specifier = ">=0.31.0" },
     { name = "fastapi", extras = ["standard"], specifier = "==0.141.1" },
     { name = "langgraph", specifier = ">=1.2.10" },
+    { name = "minio", specifier = ">=7.2.20" },
     { name = "pydantic-settings", specifier = ">=2.15.0" },
+    { name = "qdrant-client", specifier = ">=1.19.0" },
     { name = "sqlalchemy", specifier = ">=2.0.51" },
+    { name = "structlog", specifier = ">=26.1.0" },
 ]
 
 [package.metadata.requires-dev]
@@ -924,6 +1056,68 @@ dev = [
     { name = "ty", specifier = ">=0.0.69" },
 ]
 
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