Compare commits

...

2 Commits

Author SHA1 Message Date
debd2b8e69 IB-WP-0020-T04: example routing config + live routing smoke
examples/routing/trading-literature.yaml is the checked-in starting
config for a Lefevre-style run. It applies the IB-WP-0018 task-type
taxonomy: cheap candidates for summary + evaluation, smart candidates
for entity + relation extraction, and a separate baseline rule wiring
claude_code for a follow-on T05 ShadowingAdapter step. Workspace-
relative ledger_path keeps adaptive observations with the workspace.

tests/test_routing_config.py gains a regression test that asserts the
shipped example parses cleanly, every stage in stage_to_task_type maps
to a declared task type, and the baseline candidate uses the
claude_code provider — so the example will not bit-rot silently.

tests/test_openrouter_live.py gains test_provider_routing_one_chapter_live_smoke
gated on the same INFOSPACE_BENCH_ENABLE_LIVE_OPENROUTER + OPENROUTER_API_KEY
opt-in as the existing static smoke. It builds a one-candidate routing
config, runs a single chapter through --provider routing, and asserts
the per-stage adapter-choices report section names the routed model
and the routed artifacts carry adapter_id provenance.

docs/generic-source-generator.md gains a "Live runs with --provider
routing" subsection that walks through the one-command routed run,
explains the --quality-floor override, and points at the parallel
live smoke test.

174 tests pass, 2 skipped (both live smokes, correctly gated).

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 22:19:54 +02:00
d3562454d7 IB-WP-0020-T03: routing CLI flags
Add --provider routing, --routing-config <yaml>, and --quality-floor
<float> to generate run, generate resume, and generate from-source.
The CLI flag wiring constructs a RoutingAssistedGenerationAdapter from
the parsed config, with the workspace handed in so any ledger_path in
the config resolves relative to it. --quality-floor overrides the
config-level default_quality_floor for a single invocation.

run_generation gains routing_config + quality_floor kwargs and
_adapter_for grew a "routing" branch. Missing --routing-config with
--provider routing fails fast with InfospaceError("missing_routing_config");
missing API key for any candidate fails fast with
InfospaceError("missing_routing_api_key").

Two small bug fixes surfaced while writing T03:

- routing._identify_adapter now also reads ``_model`` from llm-connect
  adapters (their public attribute is private), so the per-stage
  adapter-choice line shows the model id rather than just the class
  name.
- budget.TOKEN_EVENTS_PATH corrected from /state/token-events to the
  state-hub HTTP endpoint /token-events/ that actually exists; the
  failure-isolation in emit_token_event already kept the prior typo
  from breaking runs, but the hub never saw the events.

Five new tests cover: _adapter_for refusal on missing config,
_adapter_for happy path, run_generation end-to-end through routing
with a stubbed OpenRouterAdapter.execute_prompt (no network),
workspace-relative ledger resolution, and a CLI subprocess smoke
asserting fast-fail on missing API key.

173 tests pass, 1 skipped.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-18 22:08:51 +02:00
11 changed files with 569 additions and 10 deletions

View File

@@ -94,6 +94,42 @@ skipped unless both `OPENROUTER_API_KEY` and
chapter through the same path and asserts the provider metadata
plumb-through.
### Live runs with `--provider routing`
When the routing CLI is what you want to exercise live, swap
`--provider openrouter --model ...` for the routing pair:
```bash
infospace-bench generate from-source ./LEFEVRE.epub \
--workspace ./infospaces \
--slug reminiscences-routed \
--name "Reminiscences (Routed)" \
--profile trading-literature \
--provider routing \
--routing-config ./examples/routing/trading-literature.yaml \
--chapter I \
--apply
```
`examples/routing/trading-literature.yaml` is a checked-in starting
config: cheap candidates for summary/evaluation, smart candidates for
entity/relation, a `claude_code` baseline rule for future shadow
sampling, and a workspace-relative `output/routing/quality.jsonl`
ledger so adaptive observations stay with the workspace.
`--quality-floor <float>` on the same command overrides the config's
`default_quality_floor` for a single invocation — useful for
tightening the bar for a specific run without editing the file. The
ledger fills up as the `AdaptiveRoutingPolicy` records each
observation; later runs against the same workspace get the benefit
without re-grading from scratch.
The parallel live-smoke test
(`test_provider_routing_one_chapter_live_smoke`) is also gated on
`INFOSPACE_BENCH_ENABLE_LIVE_OPENROUTER=1` + `OPENROUTER_API_KEY` and
asserts the per-stage adapter-choices report section names the routed
model.
### Budget and usage registry
Every `generate plan` invocation appends a compact snapshot to

View File

@@ -0,0 +1,81 @@
# Example routing config for a trading-literature Lefevre-style run.
#
# Captures the IB-WP-0018 task-type taxonomy from docs/routing-task-types.md:
# summarize-source → cheap model (volume-heavy, recoverable downstream)
# extract-entities → smart model (durable output; be strict)
# extract-relations → smart model (depends on entities)
# evaluate-entity → judge model (different family from extraction)
# synthesize-report → smart model (volume-of-one, quality matters, cheap)
#
# Quality floors are the recommended starting points from
# docs/routing-task-types.md. With a ledger configured, AdaptiveRoutingPolicy
# will pick the cheapest *qualifying* adapter per task type as observations
# accumulate; until then it falls back to the static prefer/fallback order.
#
# Refresh the model rates in src/infospace_bench/model_rates.yaml before any
# full-book run — list prices drift, and the rough USD estimate in the budget
# log depends on them.
schema_version: 1
# Workspace-relative ledger so QualityLedger observations from this workspace
# stay with this workspace. Drop this line to run pure static routing.
ledger_path: output/routing/quality.jsonl
# Floors apply when --quality-floor is not passed at the call site. The CLI
# flag wins, then the per-task quality_floor below, then this default.
default_quality_floor: 0.80
stage_to_task_type:
summarize-source: cheap
extract-entities: smart
extract-relations: smart
evaluate-entity: judge
synthesize-report: smart
task_types:
cheap:
quality_floor: 0.70
candidates:
- id: openrouter:gpt-4o-mini
provider: openrouter
model: openai/gpt-4o-mini
api_key_env: OPENROUTER_API_KEY
max_cost_per_1k: 0.001
- id: openrouter:claude-3.5-haiku
provider: openrouter
model: anthropic/claude-3.5-haiku
api_key_env: OPENROUTER_API_KEY
max_cost_per_1k: 0.003
smart:
quality_floor: 0.85
candidates:
- id: openrouter:claude-3.5-haiku
provider: openrouter
model: anthropic/claude-3.5-haiku
api_key_env: OPENROUTER_API_KEY
- id: openrouter:claude-3.5-sonnet
provider: openrouter
model: anthropic/claude-3.5-sonnet
api_key_env: OPENROUTER_API_KEY
judge:
quality_floor: 0.80
candidates:
# Evaluation goes through a different family than extraction to limit
# self-preference bias.
- id: openrouter:gpt-4o-mini
provider: openrouter
model: openai/gpt-4o-mini
api_key_env: OPENROUTER_API_KEY
# Baseline is wired here so a follow-up T05 ShadowingAdapter step can
# reference `claude-code` as the grading oracle without editing the
# task_types stanza.
baseline:
candidates:
- id: claude-code
provider: claude_code
model: claude-opus-4-7

View File

@@ -29,7 +29,7 @@ _PACKAGE_RATES_PATH = Path(__file__).parent / "model_rates.yaml"
HUB_URL_ENV = "INFOSPACE_BENCH_HUB_URL"
HUB_DISABLE_ENV = "INFOSPACE_BENCH_DISABLE_HUB_TOKEN_EVENTS"
DEFAULT_HUB_URL = "http://127.0.0.1:8000"
TOKEN_EVENTS_PATH = "/state/token-events"
TOKEN_EVENTS_PATH = "/token-events/"
HUB_TIMEOUT_SECONDS = 3.0
BUDGET_DIR = Path("output/budget")

View File

@@ -203,9 +203,11 @@ def build_parser() -> argparse.ArgumentParser:
)
generate_run.add_argument("root")
generate_run.add_argument("--stage", default="all")
generate_run.add_argument("--provider", choices=["fixture", "openrouter"], default="fixture")
generate_run.add_argument("--provider", choices=["fixture", "openrouter", "routing"], default="fixture")
generate_run.add_argument("--model", default="")
generate_run.add_argument("--fixture-responses", default="")
generate_run.add_argument("--routing-config", default="", help="YAML routing config (required with --provider routing)")
generate_run.add_argument("--quality-floor", type=float, default=None, help="Override the config's default_quality_floor for this run")
generate_run.add_argument("--resume", action="store_true")
generate_run.add_argument("--force", action="store_true")
@@ -215,9 +217,11 @@ def build_parser() -> argparse.ArgumentParser:
)
generate_resume.add_argument("root")
generate_resume.add_argument("--stage", default="all")
generate_resume.add_argument("--provider", choices=["fixture", "openrouter"], default="fixture")
generate_resume.add_argument("--provider", choices=["fixture", "openrouter", "routing"], default="fixture")
generate_resume.add_argument("--model", default="")
generate_resume.add_argument("--fixture-responses", default="")
generate_resume.add_argument("--routing-config", default="")
generate_resume.add_argument("--quality-floor", type=float, default=None)
generate_resume.add_argument("--force", action="store_true")
generate_status = generate_sub.add_parser(
@@ -236,9 +240,11 @@ def build_parser() -> argparse.ArgumentParser:
generate_from_source.add_argument("--name", required=True)
generate_from_source.add_argument("--profile", default="general-knowledge")
generate_from_source.add_argument("--stage", default="all")
generate_from_source.add_argument("--provider", choices=["fixture", "openrouter"], default="fixture")
generate_from_source.add_argument("--provider", choices=["fixture", "openrouter", "routing"], default="fixture")
generate_from_source.add_argument("--model", default="")
generate_from_source.add_argument("--fixture-responses", default="")
generate_from_source.add_argument("--routing-config", default="", help="YAML routing config (required with --provider routing)")
generate_from_source.add_argument("--quality-floor", type=float, default=None)
generate_from_source.add_argument("--max-chunks", type=int, default=0)
generate_from_source.add_argument(
"--chapter",
@@ -551,6 +557,8 @@ def main(argv: list[str] | None = None) -> int:
provider=args.provider,
model=args.model,
fixture_responses=args.fixture_responses or None,
routing_config=args.routing_config or None,
quality_floor=args.quality_floor,
resume=args.resume,
force=args.force,
).to_dict()
@@ -563,6 +571,8 @@ def main(argv: list[str] | None = None) -> int:
provider=args.provider,
model=args.model,
fixture_responses=args.fixture_responses or None,
routing_config=args.routing_config or None,
quality_floor=args.quality_floor,
resume=True,
force=args.force,
).to_dict()
@@ -589,6 +599,8 @@ def main(argv: list[str] | None = None) -> int:
provider=args.provider,
model=args.model,
fixture_responses=args.fixture_responses or None,
routing_config=args.routing_config or None,
quality_floor=args.quality_floor,
)
_write_json(result.to_dict())
else:

View File

@@ -427,6 +427,8 @@ def run_generation(
provider: str = "fixture",
model: str = "",
fixture_responses: str | Path | None = None,
routing_config: str | Path | None = None,
quality_floor: float | None = None,
resume: bool = False,
force: bool = False,
) -> GenerationRunResult:
@@ -449,7 +451,14 @@ def run_generation(
started_wall = datetime.now(timezone.utc)
monotonic_start = _monotonic()
adapter = (
_adapter_for(provider, model=model, fixture_responses=fixture_responses)
_adapter_for(
provider,
model=model,
fixture_responses=fixture_responses,
routing_config=routing_config,
quality_floor=quality_floor,
workspace=_workspace_for(root_path),
)
if workflow_ids
else None
)
@@ -551,14 +560,42 @@ def _adapter_for(
*,
model: str,
fixture_responses: str | Path | None,
routing_config: str | Path | None = None,
quality_floor: float | None = None,
workspace: Path | None = None,
) -> AssistedGenerationAdapter:
if fixture_responses:
return FixtureAssistedGenerationAdapter.from_file(Path(fixture_responses))
if provider == "openrouter":
return OpenRouterAssistedGenerationAdapter(model=model)
if provider == "routing":
if not routing_config:
raise InfospaceError(
"missing_routing_config",
"--provider routing requires --routing-config <path>",
{"provider": provider},
)
from .routing import RoutingAssistedGenerationAdapter
from .routing_config import (
build_routing_policy_from_config,
load_routing_config,
)
config = load_routing_config(routing_config)
policy = build_routing_policy_from_config(config, workspace=workspace)
effective_floor = (
quality_floor
if quality_floor is not None
else config.default_quality_floor
)
return RoutingAssistedGenerationAdapter(
policy=policy,
stage_to_task_type=dict(config.stage_to_task_type),
quality_floor=effective_floor,
)
raise InfospaceError(
"missing_assisted_generation_adapter",
"Assisted generation requires --fixture-responses or --provider openrouter",
"Assisted generation requires --fixture-responses, --provider openrouter, or --provider routing",
{"provider": provider},
)

View File

@@ -112,7 +112,11 @@ def _identify_adapter(adapter: LLMAdapter) -> str:
adapter_id = getattr(adapter, "adapter_id", "")
if adapter_id:
return str(adapter_id)
model = getattr(adapter, "model", "") or getattr(adapter, "model_name", "")
model = (
getattr(adapter, "model", "")
or getattr(adapter, "model_name", "")
or getattr(adapter, "_model", "")
)
name = type(adapter).__name__
if model:
return f"{name}:{model}"

View File

@@ -522,7 +522,7 @@ def test_emit_token_event_calls_poster_with_record_token_payload(tmp_path: Path)
assert result["status"] == "emitted"
assert len(calls) == 1
url, payload, timeout = calls[0]
assert url == "http://hub.example/state/token-events"
assert url == "http://hub.example/token-events/"
assert payload["tokens_in"] == 1200
assert payload["tokens_out"] == 400
assert payload["model"] == "openai/gpt-4o-mini"

View File

@@ -208,3 +208,87 @@ def test_openrouter_one_chapter_smoke(tmp_path: Path) -> None:
and item.get("provenance", {}).get("provider_metadata", {}).get("request_id")
]
assert generated_with_metadata, "generated artifacts should carry provider_metadata.request_id"
_LIVE_ROUTING_REASON = (
"set INFOSPACE_BENCH_ENABLE_LIVE_OPENROUTER=1 and OPENROUTER_API_KEY to run "
"the optional one-chapter routing smoke against OpenRouter"
)
@pytest.mark.skipif(not (_LIVE_OPT_IN and _LIVE_API_KEY), reason=_LIVE_ROUTING_REASON)
def test_provider_routing_one_chapter_live_smoke(tmp_path: Path) -> None:
"""Live smoke: one chapter through --provider routing against OpenRouter.
Uses a minimal one-candidate-per-task-type routing config so the test
spends roughly the same as the static OpenRouter smoke. Asserts the run
completes, the routing bridge recorded adapter_id / task_type on
provider_metadata, and the per-stage adapter-choices report section
reflects routed choices.
"""
book = _build_fixture_epub(tmp_path / "lefevre.epub")
model = os.environ.get("INFOSPACE_BENCH_LIVE_MODEL", "openai/gpt-4o-mini")
routing_config = tmp_path / "routing.yaml"
routing_config.write_text(
yaml.safe_dump(
{
"schema_version": 1,
"stage_to_task_type": {
"summarize-source": "cheap",
"extract-entities": "cheap",
"extract-relations": "cheap",
"evaluate-entity": "cheap",
"synthesize-report": "cheap",
},
"task_types": {
"cheap": {
"candidates": [
{
"id": f"openrouter:{model}",
"provider": "openrouter",
"model": model,
"api_key_env": "OPENROUTER_API_KEY",
},
],
},
},
},
sort_keys=False,
),
encoding="utf-8",
)
infospace = init_generation_infospace(
tmp_path,
book,
"lefevre-live-routing",
name="Lefevre Live Routing",
profile="trading-literature",
chapter_filter=["I"],
)
plan_generation(infospace.root, cost_per_1k_tokens=0.5)
result = run_generation(
infospace.root,
provider="routing",
routing_config=routing_config,
)
status = status_generation(infospace.root)
assert result.status == "completed"
assert status["source_chunk_count"] == 1
assert status["entity_count"] >= 1
report = (infospace.root / "reports" / "generation-summary.md").read_text(encoding="utf-8")
assert "## Per-stage adapter choices" in report
assert model in report, "report should name the routed model"
# The routing bridge writes adapter_id + task_type onto provider_metadata.
index = yaml.safe_load((infospace.root / "artifacts" / "index.yaml").read_text(encoding="utf-8"))
routed_artifacts = [
item
for item in index["artifacts"]
if item["kind"] in {"entity", "relation", "generated"}
and (item.get("provenance") or {}).get("provider_metadata", {}).get("adapter_id")
]
assert routed_artifacts, "routed artifacts must carry adapter_id provenance"

286
tests/test_routing_cli.py Normal file
View File

@@ -0,0 +1,286 @@
"""
Tests for the routing CLI flags (IB-WP-0020-T03).
Three levels:
- _adapter_for("routing") unit checks — missing config, happy path
- run_generation end-to-end through --provider routing with a stubbed
OpenRouterAdapter.execute_prompt so no network is required
- CLI subprocess smoke that proves the new flags are wired
"""
from __future__ import annotations
import json
import os
import subprocess
import sys
import zipfile
from pathlib import Path
import pytest
import yaml
from infospace_bench.errors import InfospaceError
from infospace_bench.generator import (
_adapter_for,
init_generation_infospace,
run_generation,
status_generation,
)
from infospace_bench.routing import RoutingAssistedGenerationAdapter
FIXTURE_ROOT = Path(__file__).parent / "fixtures" / "lefevre"
def _build_fixture_epub(target: Path) -> Path:
sources = FIXTURE_ROOT / "sources"
layout: dict[str, str] = {
"mimetype": "application/epub+zip",
"META-INF/container.xml": (sources / "container.xml").read_text(encoding="utf-8"),
}
for source in sorted(sources.glob("*.xhtml")):
layout[f"OEBPS/{source.name}"] = source.read_text(encoding="utf-8")
layout["OEBPS/content.opf"] = (sources / "content.opf").read_text(encoding="utf-8")
with zipfile.ZipFile(target, "w") as archive:
for path_in_zip, contents in layout.items():
archive.writestr(path_in_zip, contents)
return target
def _write_routing_config(path: Path, *, ledger_relpath: str | None = None) -> None:
"""Minimal routing config that maps every fixture stage to one cheap candidate."""
data: dict = {
"schema_version": 1,
"stage_to_task_type": {
"summarize-source": "cheap",
"extract-entities": "cheap",
"extract-relations": "cheap",
"evaluate-entity": "cheap",
"synthesize-report": "cheap",
},
"task_types": {
"cheap": {
"candidates": [
{
"id": "openrouter:gpt-4o-mini",
"provider": "openrouter",
"model": "openai/gpt-4o-mini",
"api_key_env": "OPENROUTER_API_KEY",
},
],
},
},
}
if ledger_relpath is not None:
data["ledger_path"] = ledger_relpath
path.write_text(yaml.safe_dump(data, sort_keys=False), encoding="utf-8")
def test_adapter_for_routing_missing_config_raises() -> None:
with pytest.raises(InfospaceError) as exc_info:
_adapter_for("routing", model="", fixture_responses=None, routing_config=None)
assert exc_info.value.code == "missing_routing_config"
def test_adapter_for_routing_returns_bridge(tmp_path: Path, monkeypatch) -> None:
monkeypatch.setenv("OPENROUTER_API_KEY", "sk-fake-test-key")
config_path = tmp_path / "routing.yaml"
_write_routing_config(config_path)
adapter = _adapter_for(
"routing",
model="",
fixture_responses=None,
routing_config=config_path,
workspace=tmp_path,
)
assert isinstance(adapter, RoutingAssistedGenerationAdapter)
assert adapter.stage_to_task_type["summarize-source"] == "cheap"
_FIXTURE_RESPONSES = {
"summarize-source": "# Source Summary\n\nFixture summary content.\n",
"extract-entities": (
"# Stub Entity\n\n"
"## Category\n\nstrategy\n\n"
"## Definition\n\nA stub trading concept for the routing CLI smoke.\n"
),
"extract-relations": (
"# Stub Entity Practices Tape Reading\n\n"
"## Subject\n\nStub Entity\n\n"
"## Predicate\n\npractices\n\n"
"## Object\n\nTape Reading\n\n"
"## Relation Type\n\nstrategy_outcome\n\n"
"## Evidence\n\nFixture evidence.\n"
),
"evaluate-entity": (
"---\n"
"artifact_id: entity/stub-entity.md\n"
"evaluator: fixture\n"
"evaluated_at: '2026-05-18T00:00:00'\n"
"scores:\n"
" - name: groundedness\n value: 4.0\n max_value: 5.0\n"
" - name: lesson_clarity\n value: 4.0\n max_value: 5.0\n"
" - name: historical_context\n value: 4.0\n max_value: 5.0\n"
" - name: overgeneralization_risk\n value: 4.0\n max_value: 5.0\n"
"---\n\n"
"# Evaluation: entity/stub-entity.md\n"
),
"synthesize-report": "# Routed Report\n\nFixture report.\n",
}
def _stub_openrouter_execute(self, prompt, config):
"""Replacement for OpenRouterAdapter.execute_prompt that returns canned content.
Identifies the stage from the rendered template's H1 line (templates
start with ``# Extract Entities`` / ``# Extract Relations`` / ``# Evaluate
...`` / ``# Synthesize ...``; anything else is treated as the
summarize-source stage).
"""
from llm_connect.models import LLMResponse
first_line = prompt.lstrip().splitlines()[0] if prompt.strip() else ""
lower = first_line.lower()
if lower.startswith("# extract") and "entit" in lower:
content = _FIXTURE_RESPONSES["extract-entities"]
elif lower.startswith("# extract") and "relation" in lower:
content = _FIXTURE_RESPONSES["extract-relations"]
elif lower.startswith("# evaluate"):
content = _FIXTURE_RESPONSES["evaluate-entity"]
elif lower.startswith("# synthesize"):
content = _FIXTURE_RESPONSES["synthesize-report"]
else:
content = _FIXTURE_RESPONSES["summarize-source"]
return LLMResponse(
content=content,
model=getattr(self, "_model", "openai/gpt-4o-mini"),
usage={"prompt_tokens": len(prompt.split()), "completion_tokens": 40},
finish_reason="stop",
metadata={"request_id": "or-stub-1"},
)
def test_run_generation_via_routing_provider_completes_end_to_end(
tmp_path: Path, monkeypatch
) -> None:
monkeypatch.setenv("OPENROUTER_API_KEY", "sk-fake-test-key")
from llm_connect.openrouter import OpenRouterAdapter
monkeypatch.setattr(
OpenRouterAdapter, "execute_prompt", _stub_openrouter_execute, raising=True
)
book = _build_fixture_epub(tmp_path / "lefevre.epub")
config_path = tmp_path / "routing.yaml"
_write_routing_config(config_path)
infospace = init_generation_infospace(
tmp_path,
book,
"lefevre-routing-smoke",
name="Lefevre Routing Smoke",
profile="trading-literature",
chapter_filter=["I"],
)
result = run_generation(
infospace.root,
provider="routing",
routing_config=config_path,
)
status = status_generation(infospace.root)
assert result.status == "completed"
assert status["source_chunk_count"] == 1
assert status["entity_count"] >= 1
assert status["evaluation_count"] >= 1
report = (infospace.root / "reports" / "generation-summary.md").read_text(encoding="utf-8")
assert "## Per-stage adapter choices" in report
assert "openai/gpt-4o-mini" in report # adapter_id ends with the model
# Budget usage rollup should bucket calls by the routed model.
import yaml as _yaml
usage = _yaml.safe_load((infospace.root / "output" / "budget" / "usage.yaml").read_text(encoding="utf-8"))
bucket_models = {b["model"] for b in usage["runs"][0]["per_bucket"]}
assert "openai/gpt-4o-mini" in bucket_models
def test_from_source_cli_provider_routing(tmp_path: Path, monkeypatch) -> None:
book = _build_fixture_epub(tmp_path / "lefevre.epub")
config_path = tmp_path / "routing.yaml"
_write_routing_config(config_path)
env = os.environ.copy()
env["PYTHONPATH"] = "src:/home/worsch/markitect-tool/src:/home/worsch/llm-connect"
# Missing API key → fast fail from the loader, no subprocess crash.
env.pop("OPENROUTER_API_KEY", None)
bad = subprocess.run(
[
sys.executable,
"-m",
"infospace_bench",
"generate",
"from-source",
str(book),
"--workspace",
str(tmp_path),
"--slug",
"routing-cli-missing-key",
"--name",
"Routing CLI Missing Key",
"--profile",
"trading-literature",
"--provider",
"routing",
"--routing-config",
str(config_path),
"--chapter",
"I",
"--apply",
],
check=False,
env=env,
text=True,
capture_output=True,
)
assert bad.returncode != 0
assert "missing_routing_api_key" in (bad.stdout + bad.stderr)
def test_run_via_routing_resolves_workspace_relative_ledger(
tmp_path: Path, monkeypatch
) -> None:
monkeypatch.setenv("OPENROUTER_API_KEY", "sk-fake-test-key")
from llm_connect.openrouter import OpenRouterAdapter
monkeypatch.setattr(
OpenRouterAdapter, "execute_prompt", _stub_openrouter_execute, raising=True
)
book = _build_fixture_epub(tmp_path / "lefevre.epub")
config_path = tmp_path / "routing.yaml"
_write_routing_config(config_path, ledger_relpath="output/routing/quality.jsonl")
infospace = init_generation_infospace(
tmp_path,
book,
"lefevre-routing-ledger",
name="Lefevre Routing Ledger",
profile="trading-literature",
chapter_filter=["I"],
)
run_generation(
infospace.root,
provider="routing",
routing_config=config_path,
quality_floor=0.7,
)
# ledger_path is relative to the workspace (tmp_path), not the infospace root.
ledger_path = tmp_path / "output" / "routing" / "quality.jsonl"
assert ledger_path.parent.is_dir(), "loader must create the ledger parent dir"

View File

@@ -412,6 +412,25 @@ def test_build_routing_policy_claude_code_needs_no_api_key() -> None:
assert isinstance(policy.rules[0].prefer, ClaudeCodeAdapter)
def test_example_trading_literature_config_parses() -> None:
"""Regression: the shipped example config must parse cleanly."""
from infospace_bench.routing_config import load_routing_config
example_path = Path(__file__).resolve().parent.parent / "examples" / "routing" / "trading-literature.yaml"
config = load_routing_config(example_path)
task_type_names = {task.task_type for task in config.task_types}
assert {"cheap", "smart", "judge", "baseline"} <= task_type_names
assert config.default_quality_floor == 0.80
# Each shipped stage maps to a task type the config actually declares.
for stage, task_type in config.stage_to_task_type.items():
assert task_type in task_type_names, f"stage {stage!r} maps to undeclared task type {task_type!r}"
# baseline is included so a T05 ShadowingAdapter wiring can reference it.
baseline = next(t for t in config.task_types if t.task_type == "baseline")
assert baseline.candidates[0].provider == "claude_code"
def test_build_routing_policy_honours_custom_api_key_env() -> None:
from infospace_bench.routing_config import build_routing_policy_from_config
from llm_connect.openrouter import OpenRouterAdapter

View File

@@ -117,7 +117,7 @@ state_hub_task_id: "5e38514b-ad6a-4d39-8716-f812f241d9fd"
```task
id: IB-WP-0020-T03
status: todo
status: done
priority: high
state_hub_task_id: "fe5888e0-da33-413a-b026-71ed811b8c73"
```
@@ -138,7 +138,7 @@ state_hub_task_id: "fe5888e0-da33-413a-b026-71ed811b8c73"
```task
id: IB-WP-0020-T04
status: todo
status: done
priority: medium
state_hub_task_id: "69288131-f265-4db5-a4b0-b0c8a6f55dd8"
```