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null}",2026-09-25T07:18:38Z,True,"[""preco_referencial_ausente""]","{""account_verified_at"": null, ""authenticated"": null, ""balance_confirmed"": null, ""balance_verified_at"": null, ""entitled"": null, ""evidence_hash"": null, ""listed"": true, ""local_listed"": null, ""local_verified_at"": null, ""source"": null, ""verified_at"": null}",zen_balance,1b8d7a3dd18412473419eed98e32be003db5307754a1c5ab0f491ff33b4806a4,"{""cache_read"": null, ""cache_write"": null, ""input"": null, ""output"": null}",n/d +qwen3.8-flash,opencode,opencode/qwen3.8-flash,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,descoberta_local_falhou,"{""benchmark"": null, ""catalog"": ""https://opencode.ai/zen/v1/models"", ""openrouter"": null}",2026-09-25T07:18:38Z,True,"[""preco_referencial_ausente""]","{""account_verified_at"": null, ""authenticated"": null, ""balance_confirmed"": null, ""balance_verified_at"": null, ""entitled"": null, ""evidence_hash"": null, ""listed"": true, ""local_listed"": null, ""local_verified_at"": null, ""source"": null, ""verified_at"": null}",zen_balance,1b8d7a3dd18412473419eed98e32be003db5307754a1c5ab0f491ff33b4806a4,"{""cache_read"": null, ""cache_write"": null, ""input"": null, ""output"": null}",n/d +space-bunny-free,opencode,opencode/space-bunny-free,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,n/d,descoberta_local_falhou,"{""benchmark"": null, ""catalog"": ""https://opencode.ai/zen/v1/models"", ""openrouter"": null}",2026-09-25T07:18:38Z,True,"[""preco_referencial_ausente""]","{""account_verified_at"": null, ""authenticated"": null, ""balance_confirmed"": null, ""balance_verified_at"": null, ""entitled"": null, ""evidence_hash"": null, ""listed"": true, ""local_listed"": null, ""local_verified_at"": null, ""source"": null, ""verified_at"": null}",zen_balance,1b8d7a3dd18412473419eed98e32be003db5307754a1c5ab0f491ff33b4806a4,"{""cache_read"": null, ""cache_write"": null, ""input"": null, ""output"": null}",n/d diff --git a/qa/test_model_catalog.py b/qa/test_model_catalog.py new file mode 100755 index 0000000..7c52135 --- /dev/null +++ b/qa/test_model_catalog.py @@ -0,0 +1,374 @@ +#!/usr/bin/env python3 +"""Behavior tests for model catalog imports and reports (stdlib only).""" +import hashlib +import json +import os +import shutil +import subprocess +import sys +import tempfile +import unittest +from decimal import Decimal + +ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +sys.path.insert(0, os.path.join(ROOT, "scripts")) +import model_catalog as catalog + + +class CatalogImportTests(unittest.TestCase): + def test_openrouter_keeps_per_token_units_and_missing_cache_is_not_free(self): + payload = {"data": [{"id": "z-ai/glm-5.3", "name": "GLM", "pricing": { + "prompt": "0.0000014", "completion": "0.0000044", "input_cache_read": "0.00000026" + }}]} + prices = catalog.parse_openrouter(payload)["z-ai/glm-5.3"] + self.assertEqual(prices["price_unit"], "USD/token") + self.assertEqual(prices["price_per_token_usd"]["input"], "0.0000014") + self.assertEqual(Decimal(prices["display_usd_per_1m"]["input"]), Decimal("1.4")) + self.assertEqual(Decimal(prices["display_usd_per_1m"]["cache_read"]), Decimal("0.26")) + self.assertIsNone(prices["display_usd_per_1m"]["cache_write"]) + self.assertIsNone(catalog.reference_cost(prices["price_per_token_usd"], {"cache_write": 1})) + self.assertEqual(catalog.reference_cost(prices["price_per_token_usd"], {"input": 1_000_000, "output": 10_000}), Decimal("1.444")) + + def test_negative_public_tariff_keeps_valid_models_and_is_not_costed(self): + payload = {"data": [ + {"id": "openrouter/auto-beta", "pricing": {"prompt": "-0.000001", "completion": "0.1"}}, + {"id": "openai/valid", "pricing": {"prompt": "0.000002", "completion": "0.000003"}}, + ]} + parsed = catalog.parse_openrouter(payload) + self.assertEqual(catalog.reference_cost(parsed["openai/valid"]["price_per_token_usd"], + {"input": 1_000_000}), Decimal("2")) + invalid = parsed["openrouter/auto-beta"] + self.assertEqual(invalid["conditions"]["unsupported_negative_prices"]["input"], "-0.000001") + self.assertIsNone(invalid["price_per_token_usd"]["input"]) + self.assertIsNone(catalog.reference_cost(invalid["price_per_token_usd"], {"input": 1})) + with self.assertRaises(ValueError): + catalog.parse_openrouter(payload, {"openai/valid": {"price_per_token_usd": {"input": "-1"}, + "source_url": "https://example.test/pricing", "captured_at": "2026-09-25T00:00:00Z"}}) + + + def test_openrouter_price_overrides_preserve_conditions_and_unit(self): + payload = {"data": [{"id": "openai/gpt-6-luna", "pricing": {"prompt": "0.1", "completion": "0.5"}, "context_length": 272000}]} + overrides = {"openai/gpt-6-luna": { + "display_usd_per_1m": {"input": "2.25", "output": "7.5"}, + "context_length": 272000, "ttl": "1h", "endpoint": "https://example.test/v2", + "source_url": "https://example.test/pricing", "captured_at": "2026-09-25T00:00:00Z" + }} + record = catalog.parse_openrouter(payload, overrides)["openai/gpt-6-luna"] + self.assertEqual(record["price_per_token_usd"]["input"], "0.00000225") + self.assertEqual(Decimal(record["display_usd_per_1m"]["output"]), Decimal("7.5")) + self.assertEqual(record["conditions"]["context_length"], 272000) + self.assertEqual(record["conditions"]["ttl"], "1h") + self.assertEqual(record["conditions"]["endpoint"], "https://example.test/v2") + with self.assertRaises(ValueError): + catalog.parse_openrouter(payload, {"missing/model": {"display_usd_per_1m": {"input": "1"}}}) + + def test_context_and_cache_ttl_overrides_choose_the_matching_price_tier(self): + payload = {"data": [{"id": "openai/gpt-6-luna", "pricing": { + "prompt": "0.0000001", "completion": "0.0000005", + "input_cache_write": "0.0000009", "input_cache_write_1h": "0.0000005" + }}]} + tier = {"min_context_tokens": 272001, "price_per_token_usd": {"input": "0.0000002", "output": "0.0000008"}, + "source_url": "https://openrouter.ai/docs/pricing", "captured_at": "2026-09-25T00:00:00Z"} + record = catalog.parse_openrouter(payload, {"openai/gpt-6-luna": {"context_tiers": [tier]}})["openai/gpt-6-luna"] + below = catalog.openrouter_price_for_profile(record, {"context_length": 272000}) + above = catalog.openrouter_price_for_profile(record, {"context_length": 272001}) + self.assertEqual(below["price_per_token_usd"]["input"], "0.0000001") + self.assertEqual(above["price_per_token_usd"]["input"], "0.0000002") + self.assertEqual(above["applied_context_tier"], 272001) + self.assertEqual(catalog.reference_cost(record["price_per_token_usd"], {"cache_write": 100, "cache_write_ttl": "1h"}), Decimal("0.00005")) + + def test_provider_catalog_preserves_exact_variants_without_guessing(self): + rows = catalog.parse_provider_catalog({"data": [ + {"id": "model-x", "name": "X", "variants": ["high", "max"]}, + {"id": "model-y"} + ]}, "opencode", catalog.ZEN_URL) + self.assertEqual([r["model_key"] for r in rows], ["opencode/model-x#high", "opencode/model-x#max", "opencode/model-y"]) + self.assertTrue(all(r["availability"]["authenticated"] is None for r in rows)) + with self.assertRaises(ValueError): + catalog.parse_provider_catalog({"data": [{"id": "bad/id"}]}, "opencode", catalog.ZEN_URL) + + def test_aa_import_requires_consent_provenance_and_one_consistent_v15_record(self): + snapshot = { + "metric_id": catalog.AA_METRIC, "version": "1.5", "ingestion": "manual_audited", + "terms_accepted": True, "source_url": catalog.AA_URL, "attribution": "Artificial Analysis Coding Agent Index", + "captured_at": "2026-09-25T00:00:00Z", "records": [{ + "provider": "opencode", "model_id": "gpt-6-luna", "variant": "max", "score": "41", + "agent": "Codex", "harness": "Codex", "settings": {"effort": "max"}, + "match_grade": "proxy", "evidence_url": catalog.AA_URL + }] + } + row = catalog.validate_aa_snapshot(snapshot)[0] + self.assertEqual((row["metric_id"], row["version"], row["score"], row["match_grade"]), (catalog.AA_METRIC, "1.5", "41", "proxy")) + wrong_index = dict(snapshot, metric_id="artificial_analysis_intelligence_index") + with self.assertRaises(ValueError): + catalog.validate_aa_snapshot(wrong_index) + duplicate = dict(snapshot, records=snapshot["records"] * 2) + with self.assertRaisesRegex(ValueError, "inconsistente"): + catalog.validate_aa_snapshot(duplicate) + no_consent = dict(snapshot, terms_accepted=False) + with self.assertRaises(ValueError): + catalog.validate_aa_snapshot(no_consent) + + def test_local_discovery_never_returns_diagnostics_or_credential_text(self): + class Result: + returncode = 0 + stdout = "opencode/model-a#high\nAPI_KEY=do-not-store\n" + stderr = "secret=do-not-print" + result = catalog.discover_local_models("opencode", runner=lambda *args, **kwargs: Result()) + self.assertEqual(result["models"], ["model-a#high"]) + self.assertNotIn("do-not-store", json.dumps(result)) + self.assertNotIn("do-not-print", json.dumps(result)) + + def test_omp_json_is_local_listing_only_and_never_proves_entitlement(self): + payload = {"models": [{"provider": "openai", "id": "gpt-6-luna", "thinking": ["high"]}]} + rows = catalog.parse_omp_models(payload, "openai") + self.assertEqual(rows[0]["model_key"], "openai/gpt-6-luna") + self.assertIsNone(rows[0]["availability"]["authenticated"]) + self.assertIsNone(rows[0]["availability"]["entitled"]) + + class Result: + returncode = 0 + stdout = json.dumps(payload) + stderr = "account-private-value" + calls = [] + result = catalog.discover_omp_models("openai", runner=lambda args, **kwargs: (calls.append(args) or Result())) + self.assertEqual(calls, [["omp", "models", "openai", "--json"]]) + self.assertEqual(result["models"], ["openai/gpt-6-luna", "openai/gpt-6-luna#high"]) + self.assertNotIn("account-private-value", json.dumps(result)) + + def test_omp_keeps_slash_ids_and_only_lists_advertised_thinking(self): + payload = {"models": [ + {"provider": "openai", "id": "anthropic/claude-x", + "selector": "openai/anthropic/claude-x", "thinking": ["low", "high"]} + ]} + rows = catalog.parse_omp_models(payload, "openai") + self.assertEqual([row["model_key"] for row in rows], ["openai/anthropic/claude-x"]) + + self.assertEqual(rows[0]["model_id"], "anthropic/claude-x") + class Result: + returncode = 0 + stdout = json.dumps(payload) + stderr = "" + discovered = catalog.discover_omp_models("openai", runner=lambda *args, **kwargs: Result()) + self.assertEqual(discovered["models"], [ + "openai/anthropic/claude-x", "openai/anthropic/claude-x#high", "openai/anthropic/claude-x#low" + ]) + with self.assertRaises(ValueError): + catalog.parse_omp_models({"models": [{"provider": "openai", "id": "anthropic/claude-x", + "selector": "openai/claude-x"}]}, "openai") + + def test_openrouter_public_long_context_override_affects_reference_cost(self): + record = catalog.parse_openrouter({"data": [{"id": "anthropic/model-x", "pricing": { + "prompt": "0.000001", "completion": "0.000002", + "overrides": [{"min_prompt_tokens": 272000, "prompt": "0.000003", "completion": "0.000004"}] + }}]})["anthropic/model-x"] + selected = catalog.openrouter_price_for_profile(record, {"input": 272000}) + self.assertEqual(selected["price_per_token_usd"]["input"], "0.000003") + self.assertEqual(catalog.reference_cost(selected["price_per_token_usd"], + {"input": 272000, "output": 10}), Decimal("0.81604")) + + def test_omp_sync_requires_manual_account_and_balance_evidence(self): + with tempfile.TemporaryDirectory() as cache: + availability_path = os.path.join(cache, "availability.json") + native_path = os.path.join(cache, "overrides.json") + aa_path = os.path.join(cache, "aa.json") + timestamp = catalog.utc_now() + with open(availability_path, "w", encoding="utf-8") as stream: + json.dump({ + "tool": "omp", "ingestion": "manual_audited", "user_confirmed": True, + "captured_at": timestamp, "records": [{ + "provider": "openai", "model_id": "gpt-6-luna", "variant": "high", + "local_listed": True, "authenticated": True, "entitled": True, + "verified_at": timestamp, "source": "manual audited OMP account", + "balance_confirmed": True, "balance_verified_at": timestamp, + }], + }, stream) + with open(native_path, "w", encoding="utf-8") as stream: + json.dump({"native_tariffs": {"openai/gpt-6-luna#high": { + "billing_mode": "omp_payg", "account_confirmed": True, + "source_url": "https://provider.example/pricing", "captured_at": timestamp, + "price_per_token_usd": {"input": "0.000001"}, "available_balance_usd": "2", + }}}, stream) + with open(aa_path, "w", encoding="utf-8") as stream: + json.dump({ + "metric_id": catalog.AA_METRIC, "version": "1.5", "ingestion": "manual_audited", + "terms_accepted": True, "source_url": catalog.AA_URL, + "attribution": "Artificial Analysis Coding Agent Index", "captured_at": timestamp, + "records": [{ + "provider": "openai", "model_id": "gpt-6-luna", "variant": "high", "score": "54", + "agent": "Codex", "harness": "OMP", "settings": {"effort": "high"}, + "match_grade": "exact", "evidence_url": catalog.AA_URL, + }, { + "provider": "openai", "model_id": "gpt-6-luna", "variant": "xhigh", "score": "60", + "agent": "Codex", "harness": "OMP", "settings": {"effort": "xhigh"}, + "match_grade": "exact", "evidence_url": catalog.AA_URL, + }], + }, stream) + rows = catalog.parse_omp_models({"models": [{"provider": "openai", "id": "gpt-6-luna", + "thinking": ["high"]}]}, "openai") + discover = lambda provider: {"ok": True, "models": ["openai/gpt-6-luna", "openai/gpt-6-luna#high"], "rows": rows, + "source_hash": "a" * 64, "verified_at": timestamp, "reason": None} + fetched = [] + def fetcher(url): + fetched.append(url) + payload = {"data": []} + return payload, url, catalog.sha256(catalog.canonical_json(payload)) + result = catalog.sync("omp", ["openai"], cache, fetcher, aa_snapshot=aa_path, + availability_snapshot=availability_path, price_overrides=native_path, + omp_discoverer=discover) + snapshot = catalog.load_snapshot("omp", cache) + by_key = {row["model_key"]: row for row in snapshot["models"]} + self.assertNotIn("openai/gpt-6-luna#xhigh", by_key) + self.assertEqual(result["model_count"], 2) + self.assertEqual(fetched, [catalog.OPENROUTER_URL]) + model = by_key["openai/gpt-6-luna#high"] + self.assertEqual(model["score"]["version"], "1.5") + self.assertEqual(model["billing_mode"], "omp_payg") + self.assertTrue(model["availability"]["local_listed"]) + self.assertTrue(model["availability"]["entitled"]) + self.assertTrue(model["availability"]["balance_confirmed"]) + self.assertEqual(model["native_tariff"]["available_balance_usd"], "2") + with self.assertRaisesRegex(ValueError, "providers explicitamente"): + catalog.sync("omp", cache_dir=cache, fetcher=lambda url: ({}, url, "x")) + with self.assertRaises(ValueError): + catalog.validate_native_tariff_overrides({"openai/model": { + "billing_mode": "omp_payg", "account_confirmed": True, + "source_url": "https://provider.example/pricing", "captured_at": "2026-09-25T12:00:00Z", + "price_per_token_usd": {"input": "0.1"}, + }}) + + def test_manual_availability_and_native_tariff_are_auditable_without_secrets(self): + with tempfile.TemporaryDirectory() as cache: + availability = os.path.join(cache, "availability.json") + with open(availability, "w", encoding="utf-8") as stream: + json.dump({ + "tool": "opencode", "ingestion": "manual_audited", "user_confirmed": True, + "captured_at": "2026-09-25T00:00:00Z", + "records": [{"provider": "opencode", "model_id": "model-a", "variant": None, + "local_listed": True, "authenticated": True, "entitled": True, + "verified_at": "2026-09-25T00:00:00Z", "source": "manual confirmation token=NEVER_PERSIST"}] + }, stream) + def fetcher(url): + body = {"data": [{"id": "model-a"}]} if url == catalog.ZEN_URL else {"data": []} + return body, url, catalog.sha256(catalog.canonical_json(body)) + catalog.sync("opencode", ("opencode",), cache, fetcher, + lambda provider: {"ok": True, "models": ["model-a"], "reason": None}, + availability_snapshot=availability) + snapshot = catalog.load_snapshot(cache_dir=cache) + model = snapshot["models"][0] + self.assertEqual(model["availability"]["authenticated"], True) + self.assertEqual(model["availability"]["entitled"], True) + self.assertEqual(model["availability"]["source"], "manual_audited") + self.assertNotIn("NEVER_PERSIST", json.dumps(snapshot)) + self.assertIn("availability", snapshot["source_hashes"]) + + tariff = catalog.validate_native_tariff_overrides({"opencode/model-a": { + "billing_mode": "zen_balance", "account_confirmed": True, "source_url": "https://opencode.ai/docs/zen", + "captured_at": "2026-09-25T00:00:00Z", "price_per_token_usd": {"input": "0.000001", "output": "0.000002"}, + "available_balance_usd": "2", + }}) + self.assertEqual(tariff["opencode/model-a"]["price_per_token_usd"]["input"], "0.000001") + self.assertEqual(tariff["opencode/model-a"]["available_balance_usd"], "2") + with self.assertRaisesRegex(ValueError, "saldo disponível"): + catalog.validate_native_tariff_overrides({"opencode/model-a": { + "billing_mode": "zen_balance", "account_confirmed": True, "source_url": "https://opencode.ai/docs/zen", + "captured_at": "2026-09-25T00:00:00Z", "price_per_token_usd": {"input": "0.000001"}, + }}) + + def test_unknown_openrouter_id_override_is_rejected(self): + payload = {"data": [{"id": "known/id", "pricing": {}}]} + with self.assertRaises(ValueError): + catalog.parse_openrouter(payload, {"typo/id": {"context_length": 100}}) + + +class CatalogSnapshotTests(unittest.TestCase): + def test_missing_cache_and_complete_report_keep_unavailable_models(self): + with tempfile.TemporaryDirectory() as cache: + self.assertEqual(catalog.list_models(cache_dir=cache), []) + self.assertEqual(catalog._csv_text([]).splitlines()[0].split(","), list(catalog.LIST_FIELDS)) + source_catalogs = { + catalog.ZEN_URL: {"data": [{"id": "glm-5.3", "name": "GLM"}, {"id": "unknown-model", "name": "Unknown"}]}, + catalog.GO_URL: {"data": [{"id": "gpt-6-luna", "name": "Luna"}]}, + catalog.OPENROUTER_URL: {"data": [{"id": "z-ai/glm-5.3", "pricing": {"prompt": "0.0000014", "completion": "0.0000044"}}, + {"id": "openai/gpt-6-luna", "pricing": {"prompt": "0.0000001", "completion": "0.0000005"}}]}, + } + def fetcher(url): + body = source_catalogs[url] + return body, url, catalog.sha256(catalog.canonical_json(body)) + def local(provider): + ids = ["glm-5.3"] if provider == "opencode" else [] + return {"ok": True, "models": ids, "reason": None} + result = catalog.sync("opencode", ("opencode", "opencode-go"), cache, fetcher, local) + rows = catalog.list_models(cache_dir=cache) + self.assertEqual(result["model_count"], 3) + self.assertEqual(len(rows), 3) + by_key = {row["model_key"]: row for row in rows} + self.assertEqual(by_key["opencode/glm-5.3"]["disponivel_na_conta"], "n/d") + self.assertEqual(by_key["opencode/unknown-model"]["openrouter_id"], "n/d") + self.assertEqual(by_key["opencode/unknown-model"]["preco_or_entrada_usd_1m"], "n/d") + self.assertEqual(by_key["opencode-go/gpt-6-luna"]["coding_index_nota"], "n/d") + self.assertFalse(by_key["opencode-go/gpt-6-luna"]["disponivel_na_conta"]) + self.assertEqual(len(catalog.list_models(cache_dir=cache, show_missing=False)), 1) + self.assertEqual(Decimal(by_key["opencode/glm-5.3"]["preco_or_entrada_usd_1m"]), Decimal("1.4")) + + + def test_archived_cli_csv_reproduces_frozen_bytes_at_capture_time(self): + archived_snapshot = os.path.join(ROOT, "docs", "model-catalog-snapshot-2026-09-25", "catalog-opencode.json") + archived_csv = os.path.join(ROOT, "docs", "model-catalog-zen-go-2026-09-25.csv") + with tempfile.TemporaryDirectory() as cache: + shutil.copyfile(archived_snapshot, os.path.join(cache, "catalog-opencode.json")) + result = subprocess.run([ + sys.executable, os.path.join(ROOT, "scripts", "model_catalog.py"), "list", + "--tool", "opencode", "--format", "csv", "--cache-dir", cache, + "--as-of-utc", "2026-09-25T07:18:38Z", + ], capture_output=True, check=True) + with open(archived_csv, "rb") as stream: + expected = stream.read() + self.assertEqual(hashlib.sha256(expected).hexdigest(), + "80e2930877b20e5c47d4fd18f394c17a4683b257ca715496e91c63520d528230") + self.assertEqual(result.stdout, expected) + self.assertEqual(len(result.stdout.splitlines()) - 1, 122) + + def test_archived_openrouter_override_changes_long_context_cost(self): + cache = os.path.join(ROOT, "docs", "model-catalog-snapshot-2026-09-25") + record = catalog.load_snapshot(cache_dir=cache)["openrouter"]["openai/gpt-6-sol"] + below = catalog.openrouter_price_for_profile(record, {"input": 271999}) + above = catalog.openrouter_price_for_profile(record, {"input": 300000}) + self.assertEqual(catalog.reference_cost(below["price_per_token_usd"], {"input": 271999}), + Decimal("0.543998")) + self.assertEqual(above["applied_context_tier"], 272000) + self.assertEqual(catalog.reference_cost(above["price_per_token_usd"], {"input": 300000}), + Decimal("1.2")) + + + def test_go_report_shows_all_confirmed_quota_windows_and_fallback_policy(self): + with tempfile.TemporaryDirectory() as cache: + timestamp = catalog.utc_now() + native_path = os.path.join(cache, "quota.json") + with open(native_path, "w", encoding="utf-8") as stream: + json.dump({"native_tariffs": {"opencode-go/model-a": { + "billing_mode": "go_quota", "account_confirmed": True, + "source_url": "https://opencode.ai/docs/go", "captured_at": timestamp, + "quota_window_remaining": {"5h": "2", "weekly": "5", "monthly": "10"}, + "quota_window_debit": {"5h": "0.5", "weekly": "0.5", "monthly": "0.5"}, + "use_balance_fallback": False, + }}}, stream) + def fetcher(url): + body = {"data": [{"id": "model-a"}]} if url == catalog.GO_URL else {"data": []} + return body, url, catalog.sha256(catalog.canonical_json(body)) + catalog.sync("opencode", ("opencode-go",), cache, fetcher, + lambda _: {"ok": True, "models": ["model-a"], "reason": None}, + price_overrides=native_path) + report = catalog.list_models(cache_dir=cache)[0]["preco_native_ou_cota"] + self.assertEqual(report["quota_window_remaining"], {"5h": "2", "weekly": "5", "monthly": "10"}) + self.assertEqual(report["quota_window_debit"]["monthly"], "0.5") + self.assertFalse(report["use_balance_fallback"]) + + def test_score_bands_are_fixed_inclusive_only_at_high_upper_bound(self): + cases = {"9.99": None, "10": "leve", "19.99": "leve", "20": "media", "49.99": "media", "50": "alta", "100": "alta", "100.01": None} + for score, expected in cases.items(): + self.assertEqual(catalog.band_for_score(score), expected) + + +if __name__ == "__main__": + unittest.main(verbosity=1) diff --git a/qa/test_model_router.py b/qa/test_model_router.py new file mode 100755 index 0000000..ccabb76 --- /dev/null +++ b/qa/test_model_router.py @@ -0,0 +1,260 @@ +#!/usr/bin/env python3 +"""Behavior tests for role routing, spending boundaries, and deterministic ties.""" +import os +import json +import sys +import tempfile +import unittest +from datetime import datetime, timezone +from decimal import Decimal + +ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) +sys.path.insert(0, os.path.join(ROOT, "scripts")) +import model_catalog +import model_router + +NOW = datetime(2026, 9, 25, 12, 0, tzinfo=timezone.utc) +NOW_TEXT = "2026-09-25T12:00:00Z" + + +def candidate(model_key, *, provider="opencode", score="45", native_input="0.0000001", billing="zen_balance", **extra): + result = { + "tool": "opencode", "model_key": model_key, "provider": provider, + "model_id": model_key.split("/", 1)[-1], "variant": None, "billing_mode": billing, + "availability": {"local_listed": True, "authenticated": True, "entitled": True, "verified_at": NOW_TEXT, + "local_verified_at": NOW_TEXT, "account_verified_at": NOW_TEXT, + "balance_confirmed": True, "balance_verified_at": NOW_TEXT}, + "score": {"metric_id": model_catalog.AA_METRIC, "version": "1.5", "score": score, + "agent": "Codex", "harness": "OpenCode", "variant": None, "settings": {"effort": "max"}, + "match_grade": "exact", "source_url": model_catalog.AA_URL, "observed_at": NOW_TEXT}, + "openrouter": {"captured_at": NOW_TEXT, "price_per_token_usd": {"input": "0.0000001", "output": "0.0000005"}}, + "native_tariff": {"billing_mode": billing, "account_confirmed": True, "source_url": "https://opencode.ai/docs/zen", + "captured_at": NOW_TEXT, "available_balance_usd": "2", + "price_per_token_usd": {"input": native_input, "output": "0.0000002", + "cache_read": "0.00000001", "cache_write": "0.00000002"}}, + } + if billing == "go_quota": + result["quota_verified_at"] = NOW_TEXT + result["quota_source_url"] = "https://opencode.ai/docs/go" + result["use_balance_fallback"] = False + result.update(extra) + return result + + +class RoutePolicyTests(unittest.TestCase): + def test_missing_cache_is_explicit_and_no_model_is_invented(self): + with tempfile.TemporaryDirectory() as cache: + result = model_router.route_from_catalog("opencode", "implementer", ["opencode"], cache) + self.assertIsNone(result["selected"]) + self.assertIn("snapshot_de_catalogo_ausente", result["reason"]) + empty = model_router.route([], "explorer", allowed_providers=["opencode"], now=NOW) + self.assertIsNone(empty["selected"]) + self.assertEqual(empty["reason"], "no_scored_candidate") + high_only = model_router.route([candidate("opencode/high-only", score="54")], "implementer", + allowed_providers=["opencode"], budget_usd="1", now=NOW) + self.assertIsNone(high_only["selected"]) + self.assertEqual(high_only["reason"], "faixa_vazia:media") + + def test_benchmark_with_wrong_index_is_never_ranked(self): + row = candidate("opencode/model-a", score="54") + row["score"]["metric_id"] = "artificial_analysis_intelligence_index" + result = model_router.route([row], "planner", allowed_providers=["opencode"], now=NOW) + self.assertIsNone(result["selected"]) + self.assertEqual(result["ranking"][0]["eligible"], False) + self.assertIn("indice_incompativel_ou_ausente", result["ranking"][0]["exclusion_reasons"]) + + def test_role_band_precedes_cost_and_plateau_uses_native_cost_not_openrouter(self): + cheap_high = candidate("opencode/high", score="54", native_input="0.000000001") + media_best = candidate("opencode/media", score="49", native_input="0.0000001") + media_cheaper = candidate("opencode/media-cheap", score="47", native_input="0.00000005") + result = model_router.route([cheap_high, media_best, media_cheaper], "implementer", allowed_providers=["opencode"], + tokens={"input": 1_000_000}, budget_usd="0.08", now=NOW) + self.assertEqual(result["selected"]["model_key"], "opencode/media-cheap") + self.assertEqual(result["selected"]["band"], "media") + self.assertEqual(Decimal(result["selected"]["reference_cost_usd"]), Decimal("0.1")) + self.assertEqual(Decimal(result["selected"]["estimated_native_usd"]), Decimal("0.05")) + self.assertIn("platô", result["reason"]) + + def test_zen_balance_must_cover_native_estimate_and_be_confirmed(self): + row = candidate("opencode/model-a") + row["native_tariff"]["available_balance_usd"] = "0.05" + result = model_router.route([row], "implementer", allowed_providers=["opencode"], + tokens={"input": 1_000_000}, budget_usd="1", now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("saldo_insuficiente", result["ranking"][0]["exclusion_reasons"]) + row["native_tariff"]["available_balance_usd"] = "1" + row["availability"]["balance_confirmed"] = False + result = model_router.route([row], "implementer", allowed_providers=["opencode"], + tokens={"input": 1_000_000}, budget_usd="1", now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("saldo_nao_confirmado_ou_obsoleto", result["ranking"][0]["exclusion_reasons"]) + + def test_zen_balance_requires_explicit_budget(self): + row = candidate("opencode/model-a") + result = model_router.route([row], "implementer", allowed_providers=["opencode"], now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("orcamento_zen_nao_configurado", result["ranking"][0]["exclusion_reasons"]) + + def test_exact_benchmark_harness_must_match_tool_but_proxy_requires_approval(self): + row = candidate("opencode/model-a") + row["score"]["harness"] = "Codex" + result = model_router.route([row], "implementer", allowed_providers=["opencode"], + tokens={"input": 100_000}, budget_usd="1", now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("harness_incompativel", result["ranking"][0]["exclusion_reasons"]) + + row["score"]["match_grade"] = "proxy" + result = model_router.route([row], "implementer", allowed_providers=["opencode"], + tokens={"input": 100_000}, budget_usd="1", now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("match_proxy_nao_autorizado", result["ranking"][0]["exclusion_reasons"]) + approved = model_router.route([row], "implementer", allowed_providers=["opencode"], + tokens={"input": 100_000}, budget_usd="1", allow_proxy=True, now=NOW) + self.assertEqual(approved["selected"]["model_key"], "opencode/model-a") + + def test_budget_is_applied_before_plateau_and_proxy_requires_explicit_permission(self): + top = candidate("opencode/top", score="49", native_input="0.000001") + lower = candidate("opencode/lower", score="46", native_input="0.00000005") + row = candidate("opencode/proxy", score="45", match="proxy") + row["score"]["match_grade"] = "proxy" + result = model_router.route([top, lower, row], "implementer", allowed_providers=["opencode"], + tokens={"input": 1_000_000}, budget_usd="0.1", now=NOW) + self.assertEqual(result["selected"]["model_key"], "opencode/lower") + exclusions = {entry["model_key"]: entry["exclusion_reasons"] for entry in result["ranking"]} + self.assertIn("match_proxy_nao_autorizado", exclusions["opencode/proxy"]) + proxy = model_router.route([row], "implementer", allowed_providers=["opencode"], tokens={"input": 1_000_000}, + budget_usd="1", allow_proxy=True, now=NOW) + self.assertEqual(proxy["selected"]["model_key"], "opencode/proxy") + + def test_unknown_entitlement_and_provider_are_not_eligible(self): + row = candidate("opencode/model-a", score="54") + row["availability"]["entitled"] = None + result = model_router.route([row], "planner", allowed_providers=["opencode"], now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("entitlement_nao_confirmado", result["ranking"][0]["exclusion_reasons"]) + unauthorized = model_router.route([candidate("opencode/model-a", score="54")], "planner", now=NOW) + self.assertIn("provider_nao_autorizado", unauthorized["reason"]) + + def test_go_quota_checks_every_window_and_never_falls_back_to_zen(self): + for window in model_router.WINDOWS: + row = candidate("opencode-go/model-a", provider="opencode-go", score="54", billing="go_quota") + row["quota_window_remaining"] = {"5h": "1", "weekly": "1", "monthly": "1"} + row["quota_window_debit"] = {"5h": "0.1", "weekly": "0.1", "monthly": "0.1"} + row["quota_window_remaining"][window] = "0.05" + result = model_router.route([row], "planner", allowed_providers=["opencode-go"], tokens={"input": 1_000_000}, now=NOW) + self.assertIsNone(result["selected"], window) + self.assertIn("quota_go_insuficiente", result["reason"]) + row = candidate("opencode-go/model-a", provider="opencode-go", score="54", billing="go_quota") + row["quota_window_remaining"] = {"5h": "1", "weekly": "1", "monthly": "1"} + row["quota_window_debit"] = {"5h": "0.1", "weekly": "0.1", "monthly": "0.1"} + row["use_balance_fallback"] = True + result = model_router.route([row], "planner", allowed_providers=["opencode-go"], tokens={"input": 1_000_000}, now=NOW) + self.assertIsNone(result["selected"]) + self.assertEqual(result["reason"], "fallback_go_para_saldo_zen_nao_autorizado") + + def test_go_success_exposes_quota_and_billing_mode_separately(self): + row = candidate("opencode-go/model-a", provider="opencode-go", score="54", billing="go_quota") + row["quota_window_remaining"] = {"5h": "1", "weekly": "2", "monthly": "3"} + row["quota_window_debit"] = {"5h": "0.1", "weekly": "0.1", "monthly": "0.2"} + result = model_router.route([row], "planner", allowed_providers=["opencode-go"], tokens={"input": 1_000_000}, now=NOW) + selected = result["selected"] + self.assertEqual(selected["billing_mode"], "go") + self.assertEqual(selected["billing_mode_detail"], "go_quota") + self.assertEqual(selected["quota_window_debit"]["monthly"], "0.2") + self.assertIsNone(selected["estimated_native_usd"]) + self.assertEqual(selected["native_cost_or_quota_debit_usd"], "0.2") + + def test_missing_cache_rate_disables_comparative_cost_not_native_selection(self): + row = candidate("opencode/model-a", score="45") + row["openrouter"]["price_per_token_usd"] = {"input": "0.0000001"} + result = model_router.route([row], "implementer", allowed_providers=["opencode"], + tokens={"input": 1_000_000, "cache_read": 1000}, budget_usd="1", now=NOW) + self.assertEqual(result["selected"]["model_key"], "opencode/model-a") + self.assertIsNone(result["selected"]["reference_cost_usd"]) + self.assertEqual(Decimal(result["selected"]["estimated_native_usd"]), Decimal("0.10001")) + + def test_expired_paid_metadata_blocks_automatic_selection(self): + row = candidate("opencode/model-a", score="54") + row["openrouter"]["captured_at"] = "2026-09-23T00:00:00Z" + result = model_router.route([row], "planner", allowed_providers=["opencode"], budget_usd="1", now=NOW) + self.assertIsNone(result["selected"]) + self.assertIn("preco_referencial_obsoleto_ou_ausente", result["ranking"][0]["exclusion_reasons"]) + + def test_ties_are_deterministic_independent_of_input_order(self): + a = candidate("opencode/a", score="48", native_input="0.00000005") + b = candidate("opencode/b", score="48", native_input="0.00000005") + first = model_router.route([a, b], "implementer", allowed_providers=["opencode"], tokens={"input": 1_000_000}, budget_usd="1", now=NOW) + second = model_router.route([b, a], "implementer", allowed_providers=["opencode"], tokens={"input": 1_000_000}, budget_usd="1", now=NOW) + self.assertEqual(first, second) + self.assertEqual(first["selected"]["model_key"], "opencode/a") + + def test_fixed_bands_metric_and_role_override_contract(self): + self.assertEqual(model_router.validate_bands({"leve": [10, 20], "media": [20, 50], "alta": [50, 100]}), + model_router.FIXED_BANDS) + with self.assertRaises(ValueError): + model_router.validate_bands({"leve": [0, 20], "media": [20, 50], "alta": [50, 100]}) + row = candidate("opencode/model-a", score="54") + result = model_router.route([row], "implementer", allowed_providers=["opencode"], + band_override="alta", tokens={"input": 1_000_000}, budget_usd="1", now=NOW) + self.assertEqual(result["selected"]["band"], "alta") + with self.assertRaises(ValueError): + model_router.route([row], "planner", allowed_providers=["opencode"], + benchmark_metric="aa_coding_agent_index_v1.4", now=NOW) + + def test_omp_payg_uses_only_native_estimate_and_exact_dispatch_variant(self): + row = candidate("openai/model-a#high", provider="openai", score="54", billing="omp_payg") + row.update({"tool": "omp", "model_id": "model-a", "variant": "high"}) + row["score"]["harness"] = "OMP" + row["score"]["variant"] = "high" + row["openrouter"] = None + row["native_tariff"] = { + "billing_mode": "omp_payg", "account_confirmed": True, + "source_url": "https://provider.example/pricing", "captured_at": NOW_TEXT, + "price_per_token_usd": {"input": "0.000001"}, "available_balance_usd": "0.2", + } + result = model_router.route([row], "planner", allowed_providers=["openai"], + tokens={"input": 100_000}, budget_usd="0.2", now=NOW) + selected = result["selected"] + self.assertEqual(selected["model_key"], "openai/model-a#high") + self.assertEqual(selected["dispatch_model_key"], "openai/model-a:high") + self.assertEqual(selected["billing_mode"], "payg") + self.assertEqual(selected["estimated_native_usd"], "0.100000") + self.assertEqual(selected["available_balance_usd"], "0.2") + self.assertIsNone(selected["reference_cost_usd"]) + row["availability"]["balance_confirmed"] = False + blocked = model_router.route([row], "planner", allowed_providers=["openai"], + tokens={"input": 100_000}, budget_usd="0.2", now=NOW) + self.assertIsNone(blocked["selected"]) + self.assertIn("saldo_nao_confirmado_ou_obsoleto", blocked["ranking"][0]["exclusion_reasons"]) + + def test_omp_catalog_route_revalidates_local_list_and_keeps_manual_entitlement(self): + row = candidate("openai/model-a#high", provider="openai", score="54", billing="omp_payg") + row.update({"tool": "omp", "model_id": "model-a", "variant": "high"}) + row["score"]["harness"] = "OMP" + row["score"]["variant"] = "high" + row["native_tariff"] = { + "billing_mode": "omp_payg", "account_confirmed": True, + "source_url": "https://provider.example/pricing", "captured_at": NOW_TEXT, + "price_per_token_usd": {"input": "0.000001"}, "available_balance_usd": "0.2", + } + with tempfile.TemporaryDirectory() as cache: + with open(os.path.join(cache, "catalog-omp.json"), "w", encoding="utf-8") as stream: + json.dump({"tool": "omp", "models": [row]}, stream) + result = model_router.route_from_catalog( + "omp", "planner", ["openai"], cache, tokens={"input": 100_000}, budget_usd="0.2", + omp_discoverer=lambda provider: {"ok": True, "models": ["openai/model-a#high"], "verified_at": NOW_TEXT}, + now=NOW, + ) + unsupported = model_router.route_from_catalog( + "omp", "planner", ["openai"], cache, tokens={"input": 100_000}, budget_usd="0.2", + omp_discoverer=lambda provider: {"ok": True, "models": ["openai/model-a"], "verified_at": NOW_TEXT}, + now=NOW, + ) + self.assertIsNone(unsupported["selected"]) + self.assertIn("nao_listado_localmente", unsupported["ranking"][0]["exclusion_reasons"]) + self.assertEqual(result["selected"]["dispatch_model_key"], "openai/model-a:high") + + + +if __name__ == "__main__": + unittest.main(verbosity=1) diff --git a/scripts/model_catalog.py b/scripts/model_catalog.py new file mode 100755 index 0000000..a3ceee5 --- /dev/null +++ b/scripts/model_catalog.py @@ -0,0 +1,1013 @@ +#!/usr/bin/env python3 +"""Catálogos auditáveis e preços de referência para o roteador de modelos. + +A lista pública não comprova autenticação, entitlement ou tarifa da conta. Este +módulo nunca invoca modelos nem lê/imprime credenciais. Artificial Analysis é +aceita somente por snapshot manual v1.5 validado; não há scraping nem API +presumida. +""" +from __future__ import annotations + +import argparse +import csv +import datetime as dt +import hashlib +import io +import json +import os +import re +import subprocess +import sys +import tempfile +import urllib.error +import urllib.request +from urllib.parse import urlsplit +from decimal import Decimal, InvalidOperation +from pathlib import Path +from typing import Any, Callable, Iterable + +ZEN_URL = "https://opencode.ai/zen/v1/models" +GO_URL = "https://opencode.ai/zen/go/v1/models" +OPENROUTER_URL = "https://openrouter.ai/api/v1/models" +AA_URL = "https://artificialanalysis.ai/agents/coding-agents" +AA_METRIC = "aa_coding_agent_index" +AA_VERSION = "1.5" +OMP_THINKING_VARIANTS = frozenset({"off", "minimal", "low", "medium", "high", "xhigh", "max", "auto"}) +CACHE_DIR = Path(os.environ.get("DEV_WORKFLOWS_MODEL_CACHE", "~/.cache/dev-workflows/model-catalog")).expanduser() + +# Exact reviewed links only. A family/name resemblance is never a join key. +_CURATED: dict[tuple[str, str, str | None], tuple[str, str]] = { + ("opencode", "glm-5.3", None): ("z-ai/glm-5.3", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode-go", "glm-5.3", None): ("z-ai/glm-5.3", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode", "gpt-6-luna", None): ("openai/gpt-6-luna", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode-go", "gpt-6-luna", None): ("openai/gpt-6-luna", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode", "gpt-6-sol", None): ("openai/gpt-6-sol", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode", "claude-opus-5-5", None): ("anthropic/claude-opus-5.5", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode", "kimi-k3", None): ("moonshotai/kimi-k3", "OpenRouter cross-reference reviewed against spec sample"), + ("opencode-go", "kimi-k3", None): ("moonshotai/kimi-k3", "OpenRouter cross-reference reviewed against spec sample"), +} + + +def utc_now() -> str: + return dt.datetime.now(dt.timezone.utc).replace(microsecond=0).isoformat().replace("+00:00", "Z") + + +def canonical_json(value: Any) -> bytes: + return json.dumps(value, ensure_ascii=False, sort_keys=True, separators=(",", ":")).encode("utf-8") + + +def sha256(value: bytes | str) -> str: + if isinstance(value, str): + value = value.encode("utf-8") + return hashlib.sha256(value).hexdigest() + + +def _secure_url(value: Any, hostname: str | None = None) -> bool: + if not isinstance(value, str): + return False + parsed = urlsplit(value) + return parsed.scheme == "https" and (hostname is None or parsed.hostname in (hostname, "www." + hostname)) and not parsed.username and not parsed.password and not parsed.query and not parsed.fragment + + +def decimal_value(value: Any) -> Decimal | None: + if value is None or value == "": + return None + if isinstance(value, bool) or isinstance(value, float): + raise ValueError("Valores monetários devem ser strings decimais ou inteiros, não float/bool") + try: + result = Decimal(str(value)) + except (InvalidOperation, ValueError) as exc: + raise ValueError(f"decimal inválido: {value!r}") from exc + if not result.is_finite(): + raise ValueError("decimal deve ser finito") + return result + + +def decimal_text(value: Decimal | None) -> str | None: + return None if value is None else format(value, "f") + + +def _json_request(url: str, timeout: float = 20) -> tuple[Any, str, str]: + request = urllib.request.Request(url, headers={"Accept": "application/json", "User-Agent": "dev-workflows-model-catalog/1"}) + with urllib.request.urlopen(request, timeout=timeout) as response: + body = response.read() + final_url = response.geturl() + return json.loads(body), final_url, sha256(body) + + +def _unwrap_catalog(payload: Any) -> list[dict[str, Any]]: + if isinstance(payload, list): + models = payload + elif isinstance(payload, dict): + models = next((payload[k] for k in ("data", "models", "items") if isinstance(payload.get(k), list)), None) + if models is None: + raise ValueError("formato de catálogo não reconhecido") + else: + raise ValueError("catálogo não é JSON de objetos") + if any(not isinstance(item, dict) for item in models): + raise ValueError("catálogo contém item não-objeto") + return models + + +def parse_provider_catalog(payload: Any, provider: str, source_url: str, captured_at: str | None = None) -> list[dict[str, Any]]: + """Converte catálogos Zen/Go sem sintetizar IDs ou variantes.""" + captured_at = captured_at or utc_now() + result: list[dict[str, Any]] = [] + seen: set[tuple[str, str | None]] = set() + for item in _unwrap_catalog(payload): + raw_id = item.get("id") or item.get("model_id") + if not isinstance(raw_id, str) or not raw_id.strip() or "/" in raw_id or "#" in raw_id: + raise ValueError(f"ID inválido no catálogo {provider}") + model_id = raw_id.strip() + variants = item.get("variants") + if variants is None: + variants = [None] + elif isinstance(variants, dict): + variants = list(variants) + if not isinstance(variants, list) or any(v is not None and (not isinstance(v, str) or not v) for v in variants): + raise ValueError(f"variantes inválidas para {provider}/{model_id}") + for variant in variants: + key = (model_id, variant) + if key in seen: + continue + seen.add(key) + model_key = f"{provider}/{model_id}" + (f"#{variant}" if variant else "") + result.append({ + "name": str(item.get("name") or model_id), "tool": "opencode", "provider": provider, + "model_id": model_id, "variant": variant, "model_key": model_key, + "context_length": item.get("context_length") or item.get("context_window"), + "modalities": item.get("modalities"), "tool_calling": item.get("tool_calling"), + "billing_mode": "zen_balance" if provider == "opencode" else "go_quota", + "availability": {"listed": True, "authenticated": None, "entitled": None, "verified_at": None}, + "public_source": source_url, "captured_at": captured_at, + }) + return result + + +_OR_PRICE_FIELDS = { + "input": "prompt", "output": "completion", "cache_read": "input_cache_read", + "cache_write": "input_cache_write", "cache_write_5m": "input_cache_write_5m", + "cache_write_1h": "input_cache_write_1h", "cache_write_24h": "input_cache_write_24h", +} + + +def _public_context_tiers(overrides: Any, prices: dict[str, Any], source_url: str, + captured_at: str) -> list[dict[str, Any]]: + if not isinstance(overrides, list): + return [] + tiers = [] + for override in overrides: + if not isinstance(override, dict): + continue + threshold = override.get("min_prompt_tokens") + if isinstance(threshold, bool) or not isinstance(threshold, int) or threshold < 0: + continue + tier_prices = dict(prices) + for target, source in _OR_PRICE_FIELDS.items(): + if source in override: + parsed = decimal_value(override[source]) + tier_prices[target] = decimal_text(parsed) if parsed is not None and parsed >= 0 else None + tiers.append({"min_context_tokens": threshold, "price_per_token_usd": tier_prices, + "source_url": source_url, "captured_at": captured_at}) + return sorted(tiers, key=lambda tier: tier["min_context_tokens"]) + + +def parse_openrouter(payload: Any, overrides: dict[str, Any] | None = None, source_url: str = OPENROUTER_URL, + captured_at: str | None = None) -> dict[str, dict[str, Any]]: + """Preserva tarifas USD/token, variantes de cache e condições de preço.""" + captured_at = captured_at or utc_now() + overrides = overrides or {} + output = {} + fields = _OR_PRICE_FIELDS + for item in _unwrap_catalog(payload): + model_id = item.get("id") + if not isinstance(model_id, str) or not model_id or any(char.isspace() for char in model_id): + raise ValueError("OpenRouter contém ID inválido") + if model_id in output: + raise ValueError(f"ID OpenRouter duplicado: {model_id}") + pricing = item.get("pricing") or {} + if not isinstance(pricing, dict): + raise ValueError(f"pricing inválido para {model_id}") + prices = {} + unsupported_prices = {} + for target, source in fields.items(): + raw = pricing.get(source) + price = decimal_value(raw) if raw is not None else None + if price is not None and price < 0: + unsupported_prices[target] = str(raw) + price = None # Credit/rebate is not a usable nonnegative cost estimate. + prices[target] = decimal_text(price) + base = { + "id": model_id, "name": item.get("name"), "canonical_slug": item.get("canonical_slug"), + "price_per_token_usd": prices, "price_unit": "USD/token", + "display_usd_per_1m": {k: decimal_text(decimal_value(v) * Decimal(1_000_000)) if v is not None else None for k, v in prices.items()}, + "conditions": { + "context_length": item.get("context_length"), "top_provider": item.get("top_provider"), + "per_request_limits": item.get("per_request_limits"), + "pricing_metadata": {k: v for k, v in pricing.items() if k not in fields.values()}, + "unsupported_negative_prices": unsupported_prices, + }, + "source_url": source_url, "captured_at": captured_at, "source_hash": sha256(canonical_json(item)), + } + public_tiers = _public_context_tiers(pricing.get("overrides"), prices, source_url, captured_at) + if public_tiers: + base["conditions"]["context_tiers"] = public_tiers + override = overrides.get(model_id) + if override is not None: + if not isinstance(override, dict): + raise ValueError(f"override deve ser objeto: {model_id}") + allowed = {"price_per_token_usd", "display_usd_per_1m", "context_length", "ttl", "endpoint", + "price_conditions", "context_tiers", "source_url", "captured_at"} + if set(override) - allowed: + raise ValueError(f"override contém campo não permitido: {model_id}") + has_base_prices = "price_per_token_usd" in override or "display_usd_per_1m" in override + if has_base_prices: + if not _secure_url(override.get("source_url")) or _parse_utc(override.get("captured_at")) is None: + raise ValueError(f"override de preço exige source_url https e captured_at: {model_id}") + base["source_url"], base["captured_at"] = override["source_url"], override["captured_at"] + for unit_field, divisor in (("price_per_token_usd", Decimal(1)), ("display_usd_per_1m", Decimal(1_000_000))): + if unit_field not in override: + continue + override_prices = override[unit_field] + if not isinstance(override_prices, dict): + raise ValueError(f"{unit_field} deve ser objeto: {model_id}") + for key, value in override_prices.items(): + if key not in prices: + raise ValueError(f"campo de tarifa desconhecido: {key}") + parsed = decimal_value(value) + if parsed is not None and parsed < 0: + raise ValueError(f"preço override negativo: {model_id}") + prices[key] = decimal_text(parsed / divisor) if parsed is not None else None + for field in ("context_length", "ttl", "endpoint", "price_conditions"): + if field in override: + base["conditions"][field] = override[field] + if "endpoint" in override and not _secure_url(override["endpoint"]): + raise ValueError(f"endpoint override deve ser HTTPS sem credenciais/query: {model_id}") + if "context_tiers" in override: + raw_tiers = override["context_tiers"] + if not isinstance(raw_tiers, list): + raise ValueError(f"context_tiers deve ser lista: {model_id}") + tiers = [] + thresholds = set() + for tier in raw_tiers: + tier_fields = {"min_context_tokens", "price_per_token_usd", "source_url", "captured_at"} + if not isinstance(tier, dict) or set(tier) != tier_fields: + raise ValueError(f"context tier inválido: {model_id}") + threshold = tier["min_context_tokens"] + if isinstance(threshold, bool) or not isinstance(threshold, int) or threshold < 0 or threshold in thresholds: + raise ValueError(f"limite de contexto inválido/duplicado: {model_id}") + thresholds.add(threshold) + if not _secure_url(tier["source_url"]) or _parse_utc(tier["captured_at"]) is None: + raise ValueError(f"context tier requer origem e data auditáveis: {model_id}") + tier_prices = tier["price_per_token_usd"] + if not isinstance(tier_prices, dict) or not tier_prices or set(tier_prices) - set(prices): + raise ValueError(f"tarifas do context tier inválidas: {model_id}") + normalized = dict(prices) + for key, value in tier_prices.items(): + parsed = decimal_value(value) + if parsed is None or parsed < 0: + raise ValueError(f"tarifa de contexto inválida: {model_id}") + normalized[key] = decimal_text(parsed) + tiers.append({"min_context_tokens": threshold, "price_per_token_usd": normalized, + "source_url": tier["source_url"], "captured_at": tier["captured_at"]}) + base["conditions"]["context_tiers"] = sorted( + tiers + base["conditions"].get("context_tiers", []), + key=lambda x: x["min_context_tokens"]) + base["override"] = {k: v for k, v in override.items() if k in allowed} + base["price_per_token_usd"] = {k: decimal_text(decimal_value(v)) if v is not None else None for k, v in prices.items()} + base["display_usd_per_1m"] = { + k: decimal_text(decimal_value(v) * Decimal(1_000_000)) if v is not None else None + for k, v in base["price_per_token_usd"].items() + } + base["source_hash"] = sha256(canonical_json({"api_model": item, "override": override})) + output[model_id] = base + if set(overrides) - set(output): + raise ValueError("override refere ID OpenRouter ausente") + return output + + +def openrouter_price_for_profile(record: dict[str, Any], tokens: dict[str, Any]) -> dict[str, Any]: + selected = dict(record) + conditions = record.get("conditions") or {} + tiers = conditions.get("context_tiers") or [] + context_raw = tokens.get("context_length", tokens.get("input")) + context = decimal_value(context_raw) if context_raw is not None else None + if context is not None and not tiers: + metadata = conditions.get("pricing_metadata") + if isinstance(metadata, dict): + tiers = _public_context_tiers(metadata.get("overrides"), record["price_per_token_usd"], + record["source_url"], record["captured_at"]) + if context is not None: + matching = [tier for tier in tiers if Decimal(tier["min_context_tokens"]) <= context] + if matching: + tier = max(matching, key=lambda item: item["min_context_tokens"]) + selected["price_per_token_usd"] = tier["price_per_token_usd"] + selected["source_url"] = tier["source_url"] + selected["captured_at"] = tier["captured_at"] + selected["applied_context_tier"] = tier["min_context_tokens"] + return selected + + +def reference_cost(price_per_token_usd: dict[str, Any], tokens: dict[str, Any]) -> Decimal | None: + """C_OR em USD; None se qualquer tarifa necessária ao perfil estiver ausente.""" + aliases = {"input": ("input", "prompt"), "output": ("output", "completion"), + "cache_read": ("cache_read", "input_cache_read"), "cache_write": ("cache_write", "input_cache_write")} + total = Decimal(0) + for kind, names in aliases.items(): + raw_count = tokens.get(kind, 0) + if isinstance(raw_count, bool) or isinstance(raw_count, float): + raise ValueError("contagem de tokens deve ser inteiro ou decimal exato") + count = Decimal(str(raw_count)) + if not count.is_finite() or count < 0: + raise ValueError(f"contagem de tokens inválida: {kind}") + if count == 0: + continue + names_for_cost = names + if kind == "cache_write" and tokens.get("cache_write_ttl"): + ttl = tokens["cache_write_ttl"] + if ttl not in ("5m", "1h", "24h"): + raise ValueError("cache_write_ttl precisa ser 5m, 1h ou 24h") + names_for_cost = (f"cache_write_{ttl}", f"input_cache_write_{ttl}") + raw_price = next((price_per_token_usd[name] for name in names_for_cost if name in price_per_token_usd), None) + price = decimal_value(raw_price) if raw_price is not None else None + if price is None: + return None + if price < 0: + raise ValueError("preço por token não pode ser negativo") + total += count * price + return total + + +def validate_aa_snapshot(payload: Any) -> list[dict[str, Any]]: + """Aceita exclusivamente export manual auditável do Coding Agent Index v1.5.""" + if not isinstance(payload, dict): + raise ValueError("snapshot AA deve ser objeto") + allowed_root = {"metric_id", "version", "ingestion", "terms_accepted", "source_url", "attribution", "captured_at", "records"} + if set(payload) - allowed_root: + raise ValueError("snapshot AA contém campo não permitido") + if payload.get("metric_id") != AA_METRIC or str(payload.get("version")) != AA_VERSION: + raise ValueError("somente aa_coding_agent_index v1.5 é aceito; índices não são intercambiáveis") + if payload.get("ingestion") != "manual_audited" or payload.get("terms_accepted") is not True: + raise ValueError("snapshot precisa ser importação manual consentida (terms_accepted=true)") + source_url = payload.get("source_url") + if not _secure_url(source_url, "artificialanalysis.ai"): + raise ValueError("source_url oficial da Artificial Analysis é obrigatório") + if not isinstance(payload.get("attribution"), str) or not payload["attribution"]: + raise ValueError("atribuição AA obrigatória") + captured_at = payload.get("captured_at") + captured_time = _parse_utc(captured_at) + if captured_time is None or captured_time > dt.datetime.now(dt.timezone.utc): + raise ValueError("captured_at obrigatório, UTC/offset-aware e não futuro") + records = payload.get("records") + if not isinstance(records, list): + raise ValueError("records deve ser lista") + validated = [] + seen_keys: set[tuple[str, str, str | None]] = set() + allowed_record = {"metric_id", "version", "provider", "model_id", "variant", "score", "agent", "harness", + "settings", "match_grade", "evidence_url", "components", "fallback", "effort", "reasoning", "configuration"} + for record in records: + if not isinstance(record, dict) or set(record) - allowed_record: + raise ValueError("registro AA inválido ou contém campo não permitido") + if record.get("metric_id", AA_METRIC) != AA_METRIC or str(record.get("version", AA_VERSION)) != AA_VERSION: + raise ValueError("índice/versão diferente não pode ser misturado") + provider, model_id = record.get("provider"), record.get("model_id") + if not isinstance(provider, str) or not isinstance(model_id, str) or not model_id or "/" in model_id or "#" in model_id: + raise ValueError("mapeamento provider/model_id exato obrigatório") + variant = record.get("variant") + if variant is not None and (not isinstance(variant, str) or not variant): + raise ValueError("variante AA inválida") + key = (provider, model_id, variant) + if key in seen_keys: + raise ValueError("benchmark inconsistente: modelo/variante duplicado no snapshot") + seen_keys.add(key) + score = decimal_value(record.get("score")) + if score is None or score < 0 or score > 100: + raise ValueError("score AA precisa estar no intervalo 0..100") + grade = record.get("match_grade") + if grade not in ("exact", "proxy"): + raise ValueError("match_grade deve ser exact ou proxy, sem fuzzy match") + for key in ("agent", "harness", "settings", "evidence_url"): + if key not in record or record[key] in (None, ""): + raise ValueError(f"campo de proveniência AA obrigatório: {key}") + if not _secure_url(record["evidence_url"], "artificialanalysis.ai"): + raise ValueError("evidence_url AA inválida") + validated.append({ + **record, "metric_id": AA_METRIC, "version": AA_VERSION, "score": decimal_text(score), + "source_url": source_url, "attribution": payload["attribution"], "observed_at": captured_at, + "snapshot_hash": sha256(canonical_json(payload)), + }) + return validated + + +def validate_availability_snapshot(payload: Any) -> dict[tuple[str, str, str | None], dict[str, Any]]: + """Validates explicit account evidence without accepting or retaining secrets.""" + if not isinstance(payload, dict) or payload.get("tool") not in ("opencode", "omp") or payload.get("ingestion") != "manual_audited": + raise ValueError("availability precisa ser snapshot manual auditado de opencode ou omp") + tool = payload["tool"] + if payload.get("user_confirmed") is not True: + raise ValueError("snapshot de disponibilidade exige user_confirmed=true") + captured_at = payload.get("captured_at") + if not isinstance(captured_at, str): + raise ValueError("captured_at de disponibilidade obrigatório") + try: + captured_dt = dt.datetime.fromisoformat(captured_at.replace("Z", "+00:00")) + except ValueError as exc: + raise ValueError("captured_at de disponibilidade inválido") from exc + if captured_dt.tzinfo is None or captured_dt > dt.datetime.now(dt.timezone.utc): + raise ValueError("captured_at precisa ser UTC/offset-aware e não futuro") + records = payload.get("records") + if not isinstance(records, list): + raise ValueError("records de disponibilidade deve ser lista") + result = {} + source_hash = sha256(canonical_json(payload)) + allowed_fields = {"provider", "model_id", "variant", "local_listed", "authenticated", "entitled", + "verified_at", "source", "balance_confirmed", "balance_verified_at"} + for record in records: + if not isinstance(record, dict) or set(record) - allowed_fields: + raise ValueError("snapshot de disponibilidade contém campos não permitidos") + provider, model_id, variant = record.get("provider"), record.get("model_id"), record.get("variant") + if not isinstance(provider, str) or not isinstance(model_id, str) or not model_id or "/" in model_id or "#" in model_id or (variant is not None and not isinstance(variant, str)): + raise ValueError("provider/model_id/variant exatos são obrigatórios") + if any(field not in record for field in ("local_listed", "authenticated", "entitled", "verified_at", "source")): + raise ValueError("snapshot deve declarar todos os campos de disponibilidade") + key = (provider, model_id, variant) + if key in result: + raise ValueError("snapshot de disponibilidade contém ID/variante duplicado") + for field in ("local_listed", "authenticated", "entitled"): + if record[field] is not None and not isinstance(record[field], bool): + raise ValueError(f"{field} deve ser bool ou null") + balance_confirmed = record.get("balance_confirmed") + if balance_confirmed is not None and not isinstance(balance_confirmed, bool): + raise ValueError("balance_confirmed deve ser bool ou null") + balance_verified_at = record.get("balance_verified_at") + balance_time = _parse_utc(balance_verified_at) if balance_verified_at else None + if balance_time is not None and (balance_time > dt.datetime.now(dt.timezone.utc) or balance_confirmed is not True): + raise ValueError("balance_verified_at requer confirmação explícita e não pode ser futuro") + if balance_confirmed is True and balance_time is None: + raise ValueError("saldo confirmado exige balance_verified_at UTC válido") + verified_at = _parse_utc(record["verified_at"]) + if verified_at is None or verified_at > dt.datetime.now(dt.timezone.utc) or not isinstance(record["source"], str) or not record["source"]: + raise ValueError("source e verified_at UTC válido são necessários para auditar a disponibilidade") + result[key] = { + "local_listed": record["local_listed"], "authenticated": record["authenticated"], + "entitled": record["entitled"], "verified_at": record["verified_at"], + "source": "manual_audited", "source_hash": source_hash, + "balance_confirmed": balance_confirmed, "balance_verified_at": balance_verified_at, + } + return result + + + +def validate_native_tariff_overrides(payload: Any) -> dict[str, dict[str, Any]]: + """Valida cobrança nativa/quotas manuais; preços OpenRouter nunca são tarifa.""" + if not isinstance(payload, dict): + raise ValueError("native_tariffs deve ser objeto JSON") + result = {} + allowed = {"billing_mode", "price_per_token_usd", "quota_window_remaining", "quota_window_debit", + "use_balance_fallback", "source_url", "captured_at", "account_confirmed", "available_balance_usd"} + for model_key, value in payload.items(): + if not isinstance(model_key, str) or not isinstance(value, dict) or set(value) - allowed: + raise ValueError("override native contém estrutura/campo inválido") + if value.get("account_confirmed") is not True: + raise ValueError("tarifa/cota native exige confirmação explícita da conta") + mode = value.get("billing_mode") + if mode not in ("zen_balance", "go_quota", "omp_payg"): + raise ValueError("billing_mode native inválido") + if not _secure_url(value.get("source_url")): + raise ValueError("source_url HTTPS de tarifa/cota native obrigatório") + captured_at = value.get("captured_at") + try: + captured = dt.datetime.fromisoformat(captured_at.replace("Z", "+00:00")) + except (AttributeError, ValueError) as exc: + raise ValueError("captured_at de tarifa/cota native inválido") from exc + if captured.tzinfo is None or captured > dt.datetime.now(dt.timezone.utc): + raise ValueError("captured_at de tarifa/cota native precisa ser aware e não futuro") + record = {k: value[k] for k in ("billing_mode", "source_url", "captured_at", "account_confirmed")} + if mode in ("zen_balance", "omp_payg"): + rates = value.get("price_per_token_usd") + if not isinstance(rates, dict) or not rates: + raise ValueError("tarifa nativa precisa de price_per_token_usd") + record["price_per_token_usd"] = { + k: decimal_text(decimal_value(v)) for k, v in rates.items() + if k in ("input", "output", "cache_read", "cache_write", "cache_write_5m", "cache_write_1h", "cache_write_24h") + } + if len(record["price_per_token_usd"]) != len(rates) or any(v is None or Decimal(v) < 0 for v in record["price_per_token_usd"].values()): + raise ValueError("componentes de tarifa nativa inválidos") + balance = decimal_value(value.get("available_balance_usd")) + if balance is None or balance < 0: + raise ValueError("Zen/OMP payg exige saldo disponível confirmado") + record["available_balance_usd"] = decimal_text(balance) + else: + remaining, debit = value.get("quota_window_remaining"), value.get("quota_window_debit") + if not isinstance(remaining, dict) or not isinstance(debit, dict) or any(k not in remaining or k not in debit for k in ("5h", "weekly", "monthly")): + raise ValueError("cota Go exige valores por modelo em 5h/weekly/monthly") + record["quota_window_remaining"] = {k: decimal_text(decimal_value(remaining[k])) for k in ("5h", "weekly", "monthly")} + record["quota_window_debit"] = {k: decimal_text(decimal_value(debit[k])) for k in ("5h", "weekly", "monthly")} + if any(record[key][window] is None or Decimal(record[key][window]) < 0 for key in ("quota_window_remaining", "quota_window_debit") for window in ("5h", "weekly", "monthly")): + raise ValueError("quota Go precisa ter todos os valores decimais não negativos") + fallback = value.get("use_balance_fallback", False) + if not isinstance(fallback, bool): + raise ValueError("use_balance_fallback precisa ser bool") + record["use_balance_fallback"] = fallback + result[model_key] = record + return result + +def discover_local_models(provider: str, executable: str = "opencode", runner: Callable[..., Any] = subprocess.run) -> dict[str, Any]: + """Lista IDs pela CLI sem persistir stdout bruto, stderr, environment ou credenciais.""" + try: + result = runner([executable, "models", provider, "--refresh"], capture_output=True, text=True, timeout=30, check=False) + except (OSError, subprocess.TimeoutExpired): + return {"ok": False, "models": [], "reason": "cli_local_indisponivel"} + if result.returncode != 0: + return {"ok": False, "models": [], "reason": "descoberta_local_falhou"} + found: set[str] = set() + # Apenas linhas integralmente compostas por um ID de modelo permitido. + for line in result.stdout.splitlines(): + candidate = line.strip().strip("`'\" ") + if candidate.startswith(provider + "/"): + candidate = candidate[len(provider) + 1:] + if re.fullmatch(r"[A-Za-z0-9][A-Za-z0-9._:+/-]*(?:#[A-Za-z0-9._+-]+)?", candidate): + if " " not in candidate and not candidate.startswith("-"): + found.add(candidate) + return {"ok": True, "models": sorted(found), "reason": None} + + +def parse_omp_models(payload: Any, provider: str, captured_at: str | None = None) -> list[dict[str, Any]]: + """Converte a listagem JSON local do OMP; ela prova listagem, nunca entitlement.""" + captured_at = captured_at or utc_now() + if isinstance(payload, list): + models = payload + elif isinstance(payload, dict): + models = next((payload[key] for key in ("models", "data", "items") if isinstance(payload.get(key), list)), None) + if models is None: + raise ValueError("formato de listagem OMP não reconhecido") + else: + raise ValueError("listagem OMP não é JSON de modelos") + if any(not isinstance(item, dict) for item in models): + raise ValueError("listagem OMP contém modelo não-objeto") + rows = [] + seen: set[tuple[str, str | None]] = set() + for item in models: + item_provider = item.get("provider", provider) + raw_id = item.get("id") or item.get("model_id") or item.get("model") + if not isinstance(item_provider, str) or item_provider != provider or not isinstance(raw_id, str): + raise ValueError("provider e ID exatos são obrigatórios na listagem OMP") + model_id = raw_id + selector = item.get("selector") + if selector is not None: + if not isinstance(selector, str) or not selector.startswith(provider + "/") or selector[len(provider) + 1:] != model_id: + raise ValueError("selector OMP qualificado diverge do provider/ID") + if not re.fullmatch(r"[A-Za-z0-9][A-Za-z0-9._:+/-]*", model_id): + raise ValueError("ID inválido na listagem OMP") + thinking = item.get("thinking") + if thinking is not None and (not isinstance(thinking, list) or any( + not isinstance(level, str) or level not in OMP_THINKING_VARIANTS for level in thinking)): + raise ValueError("níveis de thinking inválidos na listagem OMP") + key = (model_id, None) + if key in seen: + continue + seen.add(key) + model_key = f"{provider}/{model_id}" + rows.append({ + "name": model_id, "tool": "omp", "provider": provider, "model_id": model_id, + "variant": None, "thinking": thinking, "model_key": model_key, "context_length": None, + "modalities": None, "tool_calling": None, "billing_mode": "unknown", + "availability": {"listed": True, "authenticated": None, "entitled": None, "verified_at": None}, + "public_source": "omp models --json (listagem local)", "captured_at": captured_at, + }) + return rows + + +def discover_omp_models(provider: str, executable: str = "omp", + runner: Callable[..., Any] = subprocess.run) -> dict[str, Any]: + """Lê IDs OMP localmente e descarta stdout/stderr brutos e dados de conta.""" + if not re.fullmatch(r"[A-Za-z0-9_.-]+", provider): + return {"ok": False, "models": [], "reason": "provider_omp_invalido"} + try: + result = runner([executable, "models", provider, "--json"], capture_output=True, text=True, timeout=30, check=False) + except (OSError, subprocess.TimeoutExpired): + return {"ok": False, "models": [], "reason": "cli_omp_indisponivel"} + if result.returncode != 0 or not isinstance(result.stdout, str): + return {"ok": False, "models": [], "reason": "listagem_omp_indisponivel"} + try: + payload = json.loads(result.stdout) + rows = parse_omp_models(payload, provider) + except (json.JSONDecodeError, ValueError): + return {"ok": False, "models": [], "reason": "listagem_omp_invalida"} + selectors = {row["model_key"] for row in rows} + for row in rows: + if row.get("variant") is None and isinstance(row.get("thinking"), list): + selectors.update(f'{row["provider"]}/{row["model_id"]}#{level}' for level in row["thinking"]) + return { + "ok": True, "models": sorted(selectors), "rows": rows, + "source_hash": sha256(result.stdout.encode("utf-8")), "verified_at": utc_now(), "reason": None, + } + + +def curated_mapping(provider: str, model_id: str, variant: str | None = None) -> dict[str, str] | None: + match = _CURATED.get((provider, model_id, variant)) + if match is None: + return None + return {"openrouter_id": match[0], "provenance": match[1], "match_method": "exact_curated"} + + +def _atomic_json(path: Path, payload: Any) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + fd, temporary = tempfile.mkstemp(prefix=path.name + ".", dir=path.parent) + try: + with os.fdopen(fd, "w", encoding="utf-8") as stream: + json.dump(payload, stream, ensure_ascii=False, sort_keys=True, indent=2) + stream.write("\n") + stream.flush() + os.fsync(stream.fileno()) + os.replace(temporary, path) + finally: + try: + os.unlink(temporary) + except FileNotFoundError: + pass + + +def _read_json(path: Path, default: Any) -> Any: + try: + with path.open(encoding="utf-8") as stream: + return json.load(stream) + except FileNotFoundError: + return default + + +def _http_fetch(url: str) -> tuple[Any, str, str]: + return _json_request(url) + + +def sync(tool: str = "opencode", providers: Iterable[str] | None = None, + cache_dir: str | Path | None = None, fetcher: Callable[[str], tuple[Any, str, str]] = _http_fetch, + local_discoverer: Callable[[str], dict[str, Any]] = discover_local_models, + aa_snapshot: str | Path | None = None, price_overrides: str | Path | None = None, + availability_snapshot: str | Path | None = None, + omp_discoverer: Callable[[str], dict[str, Any]] = discover_omp_models) -> dict[str, Any]: + """Atualiza catálogos; listas OMP são locais e nunca provam entitlement.""" + if tool not in ("opencode", "omp"): + raise ValueError("sync público/local suportado apenas para opencode ou omp") + cache = Path(cache_dir) if cache_dir is not None else CACHE_DIR + requested = tuple(dict.fromkeys(providers if providers is not None else + (() if tool == "omp" else ("opencode", "opencode-go")))) + if tool == "omp": + if not requested: + raise ValueError("OMP exige providers explicitamente autorizados") + if any(not isinstance(provider, str) or not re.fullmatch(r"[A-Za-z0-9_.-]+", provider) for provider in requested): + raise ValueError("provider OMP inválido") + provider_urls = {} + else: + provider_urls = {"opencode": ZEN_URL, "opencode-go": GO_URL} + if not requested or any(provider not in provider_urls for provider in requested): + raise ValueError("provider desconhecido; use opencode,opencode-go") + source_hashes: dict[str, str] = {} + override_bytes = Path(price_overrides).read_bytes() if price_overrides else b"" + override_data = json.loads(override_bytes) if override_bytes else {} + if not isinstance(override_data, dict): + raise ValueError("arquivo de overrides deve ser objeto JSON") + reserved = {"openrouter", "native_tariffs"} + or_overrides = override_data.get("openrouter", {k: v for k, v in override_data.items() if k not in reserved}) + native_overrides = validate_native_tariff_overrides(override_data.get("native_tariffs", {})) + if override_bytes: + source_hashes["overrides"] = sha256(override_bytes) + if not isinstance(or_overrides, dict): + raise ValueError("overrides OpenRouter deve ser objeto") + availability_map: dict[tuple[str, str, str | None], dict[str, Any]] = {} + if availability_snapshot: + availability_bytes = Path(availability_snapshot).read_bytes() + availability_payload = json.loads(availability_bytes) + if not isinstance(availability_payload, dict) or availability_payload.get("tool") != tool: + raise ValueError("tool do snapshot de disponibilidade diverge do catálogo") + availability_map = validate_availability_snapshot(availability_payload) + source_hashes["availability"] = sha256(availability_bytes) + + catalog_rows = [] + captured = utc_now() + if aa_snapshot: + snapshot_bytes = Path(aa_snapshot).read_bytes() + aa_payload = json.loads(snapshot_bytes) + aa_records = validate_aa_snapshot(aa_payload) + _atomic_json(cache / f"aa-{AA_METRIC}-v{AA_VERSION}.json", { + "metric_id": AA_METRIC, "version": AA_VERSION, "captured_at": aa_payload["captured_at"], + "source_hash": sha256(snapshot_bytes), "records": aa_records, + }) + source_hashes["aa"] = sha256(snapshot_bytes) + aa_stored = _read_json(cache / f"aa-{AA_METRIC}-v{AA_VERSION}.json", {"records": []}) + scores = aa_stored.get("records", []) if isinstance(aa_stored, dict) else [] + scores_by_key = {(r.get("provider"), r.get("model_id"), r.get("variant")): r for r in scores} + + if tool == "opencode": + for provider in requested: + payload, source_url, digest = fetcher(provider_urls[provider]) + catalog_rows.extend(parse_provider_catalog(payload, provider, source_url, captured)) + source_hashes[provider] = digest + local_result = {p: local_discoverer(p) for p in requested} + else: + local_result = {p: omp_discoverer(p) for p in requested} + for provider, result in local_result.items(): + if result.get("ok"): + catalog_rows.extend(result.get("rows", [])) + source_hashes[provider] = result["source_hash"] + + if tool == "omp": + base_rows = {(row["provider"], row["model_id"]): row for row in catalog_rows if row.get("variant") is None} + present = {row["model_key"] for row in catalog_rows} + for (provider, model_id, variant), _score in scores_by_key.items(): + base_key = f"{provider}/{model_id}" + model_key = base_key + (f"#{variant}" if variant else "") + supported = base_rows.get((provider, model_id), {}).get("thinking") + if (variant not in OMP_THINKING_VARIANTS or model_key in present or + not isinstance(supported, list) or variant not in supported or + base_key not in local_result.get(provider, {}).get("models", [])): + continue + base = base_rows.get((provider, model_id)) + if base is None: + continue + variant_row = dict(base) + variant_row["variant"] = variant + variant_row["model_key"] = model_key + variant_row["availability"] = dict(base.get("availability") or {}) + catalog_rows.append(variant_row) + present.add(model_key) + + applied_availability = set() + for row in catalog_rows: + provider = row["provider"] + local = local_result.get(provider, {"ok": False, "models": []}) + local_ids = set(local.get("models", [])) if local.get("ok") else set() + catalog_key = (provider, row["model_id"], row.get("variant")) + manual = availability_map.get(catalog_key) + if manual: + applied_availability.add(catalog_key) + if tool == "omp": + local_listed = row["model_key"] in local_ids if local.get("ok") else None + else: + local_key = row["model_id"] + (f"#{row['variant']}" if row.get("variant") else "") + local_listed = local_key in local_ids if local.get("ok") else None + if manual and local.get("ok"): + local_listed = local_listed is True and manual["local_listed"] is True + row["availability"].update({ + "local_listed": local_listed, + "authenticated": manual["authenticated"] if manual else None, + "entitled": manual["entitled"] if manual else None, + "verified_at": manual["verified_at"] if manual else (captured if local.get("ok") else None), + "local_verified_at": local.get("verified_at", captured) if local.get("ok") else None, + "account_verified_at": manual["verified_at"] if manual else None, + "balance_confirmed": manual.get("balance_confirmed") if manual else None, + "balance_verified_at": manual.get("balance_verified_at") if manual else None, + "source": "manual_audited" if manual else ("omp_models_cli" if tool == "omp" and local.get("ok") else "opencode_models_cli" if local.get("ok") else None), + "evidence_hash": manual["source_hash"] if manual else None, + }) + if local_listed is not True: + row["availability_reason"] = "nao_listado_localmente" if local.get("ok") else local.get("reason", "verificacao_local_indisponivel") + elif manual is None: + row["availability_reason"] = "conta_nao_verificada" + elif manual["authenticated"] is not True: + row["availability_reason"] = "autenticacao_nao_confirmada" + elif manual["entitled"] is not True: + row["availability_reason"] = "entitlement_nao_confirmado" + else: + row["availability_reason"] = None + row["source_hash"] = source_hashes.get(provider) + row["mapping"] = curated_mapping(provider, row["model_id"], row.get("variant")) + native = native_overrides.get(row["model_key"]) + if native: + if tool == "opencode" and native["billing_mode"] != row["billing_mode"]: + raise ValueError("billing_mode do override diverge do provider publicado") + if tool != "omp" and native["billing_mode"] == "omp_payg": + raise ValueError("OMP payg não pode ser roteado por outra ferramenta") + row["billing_mode"] = native["billing_mode"] + tariff_fields = ("billing_mode", "source_url", "captured_at", "account_confirmed", + "price_per_token_usd", "available_balance_usd") + row["native_tariff"] = {k: native[k] for k in tariff_fields if k in native} + if native["billing_mode"] == "go_quota": + row["quota_window_remaining"] = native["quota_window_remaining"] + row["quota_window_debit"] = native["quota_window_debit"] + row["quota_verified_at"] = native["captured_at"] + row["quota_source_url"] = native["source_url"] + row["use_balance_fallback"] = native["use_balance_fallback"] + invalid_availability = {key for key in set(availability_map) - applied_availability if key[0] in requested} + if invalid_availability: + raise ValueError("snapshot de disponibilidade referencia modelo/variante fora da listagem local") + invalid_native = {key for key in native_overrides if key not in {r["model_key"] for r in catalog_rows}} + if invalid_native: + raise ValueError("tarifa native referencia modelo/variante fora do catálogo") + + prices_payload, price_url, price_hash = fetcher(OPENROUTER_URL) + prices = parse_openrouter(prices_payload, or_overrides, price_url, captured) + source_hashes["openrouter"] = price_hash + for row in catalog_rows: + row["score"] = scores_by_key.get((row["provider"], row["model_id"], row.get("variant"))) + mapping = row.get("mapping") + price_id = mapping["openrouter_id"] if mapping else None + row["openrouter"] = prices.get(price_id) if price_id else None + row["or_price_per_token"] = row["openrouter"]["price_per_token_usd"] if row["openrouter"] else {"input": None, "output": None, "cache_read": None, "cache_write": None} + row["price_conditions"] = row["openrouter"]["conditions"] if row["openrouter"] else None + snapshot = {"schema_version": 1, "tool": tool, "captured_at": captured, "source_hashes": source_hashes, + "providers": list(requested), "models": catalog_rows, "openrouter": prices, + "benchmark": {"metric_id": AA_METRIC, "version": AA_VERSION, "records": scores}} + snapshot["snapshot_hash"] = sha256(canonical_json({k: v for k, v in snapshot.items() if k != "snapshot_hash"})) + _atomic_json(cache / f"catalog-{tool}.json", snapshot) + return { + "tool": tool, "model_count": len(catalog_rows), "provider_count": len(requested), + "local_discovery": {p: {"ok": v["ok"], "count": len(v["models"]), "reason": v.get("reason")} + for p, v in local_result.items()}, + "snapshot_hash": snapshot["snapshot_hash"], "captured_at": captured, "source_hashes": source_hashes, + } + + +def load_snapshot(tool: str = "opencode", cache_dir: str | Path | None = None) -> dict[str, Any] | None: + cache = Path(cache_dir) if cache_dir is not None else CACHE_DIR + snapshot = _read_json(cache / f"catalog-{tool}.json", None) + return snapshot if isinstance(snapshot, dict) else None + + +def band_for_score(score: Any) -> str | None: + value = decimal_value(score) + if value is None: + return None + if Decimal(10) <= value < Decimal(20): + return "leve" + if Decimal(20) <= value < Decimal(50): + return "media" + if Decimal(50) <= value <= Decimal(100): + return "alta" + return None + + +def list_models(tool: str = "opencode", cache_dir: str | Path | None = None, show_missing: bool = True, + as_of_utc: str | None = None) -> list[dict[str, Any]]: + snapshot = load_snapshot(tool, cache_dir) + if snapshot is None: + return [] + now = _parse_utc(as_of_utc) if as_of_utc is not None else dt.datetime.now(dt.timezone.utc) + if now is None: + raise ValueError("as_of_utc deve ser data/hora UTC ISO 8601") + result = [] + for model in snapshot.get("models", []): + score = model.get("score") or {} + price = model.get("or_price_per_token") or {} + availability = model.get("availability") or {} + local_listed = availability.get("local_listed") + if not show_missing and local_listed is not True: + continue + display = model.get("openrouter", {}).get("display_usd_per_1m", {}) if model.get("openrouter") else {} + stale_reasons = [] + or_snapshot = model.get("openrouter") or {} + price_time = _parse_utc(or_snapshot.get("captured_at")) if or_snapshot else None + if price_time is None: + stale_reasons.append("preco_referencial_ausente") + elif now - price_time > dt.timedelta(hours=24): + stale_reasons.append("preco_referencial_obsoleto") + if score: + score_time = _parse_utc(score.get("observed_at")) + if score_time is None or now - score_time > dt.timedelta(days=30): + stale_reasons.append("benchmark_obsoleto") + local_time = _parse_utc(availability.get("verified_at")) + if local_listed is True and (local_time is None or now - local_time > dt.timedelta(hours=24)): + stale_reasons.append("descoberta_local_precisa_revalidacao") + account_available = True if all(availability.get(k) is True for k in ("local_listed", "authenticated", "entitled")) else (False if any(availability.get(k) is False for k in ("local_listed", "authenticated", "entitled")) else "n/d") + native_or_quota = model.get("native_tariff") or "n/d" + if model.get("billing_mode") == "go_quota" and isinstance(native_or_quota, dict): + native_or_quota = { + **native_or_quota, + "quota_window_remaining": model.get("quota_window_remaining"), + "quota_window_debit": model.get("quota_window_debit"), + "use_balance_fallback": model.get("use_balance_fallback"), + } + result.append({ + "nome": model.get("name") or "n/d", "tool": model.get("tool") or "n/d", "model_key": model.get("model_key") or "n/d", + "openrouter_id": model.get("mapping", {}).get("openrouter_id") if model.get("mapping") else "n/d", + "preco_or_entrada_usd_1m": display.get("input") if display.get("input") is not None else "n/d", + "preco_or_saida_usd_1m": display.get("output") if display.get("output") is not None else "n/d", + "preco_or_cache_leitura_usd_1m": display.get("cache_read") if display.get("cache_read") is not None else "n/d", + "preco_or_cache_escrita_usd_1m": display.get("cache_write") if display.get("cache_write") is not None else "n/d", + "preco_or_cache_escrita_1h_usd_1m": display.get("cache_write_1h") if display.get("cache_write_1h") is not None else "n/d", + "condicao_de_preco": model.get("price_conditions") or "n/d", "coding_index_versao": score.get("version") or "n/d", + "coding_index_nota": score.get("score") or "n/d", "benchmark_por_componente_se_publicado": score.get("components") or "n/d", + "harness_aa": score.get("harness") or "n/d", "reasoning_aa": score.get("settings") or "n/d", + "grau_do_match": score.get("match_grade") or "n/d", "faixa": band_for_score(score.get("score")) or "n/d", + "preco_native_ou_cota": native_or_quota, + "disponivel_na_conta": account_available, + "motivo_da_exclusao": model.get("availability_reason") or ("sem_score_compatível" if not score else "n/d"), + "fonte": {"catalog": model.get("public_source"), "benchmark": score.get("source_url"), "openrouter": or_snapshot.get("source_url")}, + "capturado_em": model.get("captured_at") or "n/d", "stale": bool(stale_reasons), "stale_reasons": stale_reasons, + "availability": availability, "billing_mode": model.get("billing_mode") or "n/d", + "source_hash": model.get("source_hash") or "n/d", "or_price_per_token": price, "score": score or "n/d", + }) + return sorted(result, key=lambda r: (r.get("tool") or "", r.get("model_key") or "")) + + +def _parse_utc(value: Any) -> dt.datetime | None: + if not isinstance(value, str) or not value: + return None + try: + result = dt.datetime.fromisoformat(value.replace("Z", "+00:00")) + except ValueError: + return None + if result.tzinfo is None: + return None + return result.astimezone(dt.timezone.utc) + + +def coverage(rows: list[dict[str, Any]]) -> dict[str, dict[str, int]]: + counts: dict[str, dict[str, int]] = {} + for row in rows: + provider = row.get("model_key", "n/d").split("/", 1)[0] + band = row.get("faixa", "n/d") + group = counts.setdefault(f"{provider}/{band}", {"scored": 0, "total": 0}) + group["total"] += 1 + group["scored"] += row.get("coding_index_nota") != "n/d" + return counts + + +LIST_FIELDS = ( + "nome", "tool", "model_key", "openrouter_id", "preco_or_entrada_usd_1m", "preco_or_saida_usd_1m", + "preco_or_cache_leitura_usd_1m", "preco_or_cache_escrita_usd_1m", "preco_or_cache_escrita_1h_usd_1m", "condicao_de_preco", + "coding_index_versao", "coding_index_nota", "benchmark_por_componente_se_publicado", "harness_aa", + "reasoning_aa", "grau_do_match", "faixa", "preco_native_ou_cota", "disponivel_na_conta", + "motivo_da_exclusao", "fonte", "capturado_em", "stale", "stale_reasons", "availability", + "billing_mode", "source_hash", "or_price_per_token", "score", +) + + +def _csv_text(rows: list[dict[str, Any]]) -> str: + output = io.StringIO(newline="") + writer = csv.DictWriter(output, fieldnames=LIST_FIELDS, extrasaction="ignore", lineterminator="\n") + writer.writeheader() + for row in rows: + writer.writerow({k: json.dumps(v, ensure_ascii=False, sort_keys=True) if isinstance(v, (dict, list)) else ("n/d" if v is None else v) for k, v in row.items()}) + return output.getvalue() + + +def main(argv: list[str] | None = None) -> int: + parser = argparse.ArgumentParser(description=__doc__.splitlines()[0]) + sub = parser.add_subparsers(dest="command", required=True) + p_sync = sub.add_parser("sync") + p_sync.add_argument("--tool", choices=("opencode", "omp"), default="opencode") + p_sync.add_argument("--providers") + p_sync.add_argument("--aa-snapshot") + p_sync.add_argument("--price-overrides") + p_sync.add_argument("--availability-snapshot") + p_sync.add_argument("--cache-dir") + p_list = sub.add_parser("list") + p_list.add_argument("--tool", choices=("opencode", "claude", "omp"), default="opencode") + p_list.add_argument("--show-missing", action="store_true", default=True) + p_list.add_argument("--format", choices=("json", "csv"), default="json") + p_list.add_argument("--as-of-utc", help="instante UTC ISO 8601 para reproduzir staleness arquivado") + p_list.add_argument("--cache-dir") + p_route = sub.add_parser("route") + p_route.add_argument("--tool", choices=("opencode", "claude", "omp"), default="opencode") + p_route.add_argument("--role", required=True) + p_route.add_argument("--providers", help="providers explicitamente autorizados, separados por vírgula") + p_route.add_argument("--format", choices=("json",), default="json") + p_route.add_argument("--tokens", default="{}", help="perfil JSON de tokens por tarefa") + p_route.add_argument("--budget-usd") + p_route.add_argument("--allow-proxy-score", "--allow-proxy", dest="allow_proxy", action="store_true") + p_route.add_argument("--max-loss-points", "--delta-points", dest="delta_points") + p_route.add_argument("--max-price-age-hours", default="24") + p_route.add_argument("--max-score-age-days", default="30") + p_route.add_argument("--benchmark-metric", default="aa_coding_agent_index_v1.5") + p_route.add_argument("--band", choices=("leve", "media", "alta")) + p_route.add_argument("--bands-json") + p_route.add_argument("--explain", action="store_true") + p_route.add_argument("--cache-dir") + args = parser.parse_args(argv) + try: + if args.command == "sync": + providers = tuple(x for x in args.providers.split(",") if x) if args.providers else None + data = sync(args.tool, providers, args.cache_dir, aa_snapshot=args.aa_snapshot, + price_overrides=args.price_overrides, availability_snapshot=args.availability_snapshot) + print(json.dumps({"ok": True, "command": "sync", "data": data}, ensure_ascii=False)) + elif args.command == "list": + rows = list_models(args.tool, args.cache_dir, show_missing=args.show_missing, as_of_utc=args.as_of_utc) + if args.format == "csv": + print(_csv_text(rows), end="") + else: + print(json.dumps({"ok": True, "command": "list", "snapshot_available": load_snapshot(args.tool, args.cache_dir) is not None, + "coverage": coverage(rows), "models": rows}, ensure_ascii=False)) + else: + from model_router import route_from_catalog + token_profile = json.loads(args.tokens) + if not isinstance(token_profile, dict): + raise ValueError("--tokens deve ser objeto JSON") + bands = json.loads(args.bands_json) if args.bands_json else None + if bands is not None and not isinstance(bands, dict): + raise ValueError("--bands-json deve ser objeto JSON") + result = route_from_catalog(args.tool, args.role, args.providers.split(",") if args.providers else [], + args.cache_dir, explain=args.explain, tokens=token_profile, + budget_usd=args.budget_usd, allow_proxy=args.allow_proxy, + delta_points=args.delta_points, max_price_age_hours=args.max_price_age_hours, + max_score_age_days=args.max_score_age_days, band_override=args.band, bands=bands, + benchmark_metric=args.benchmark_metric) + print(json.dumps({"ok": result["selected"] is not None, **result}, ensure_ascii=False)) + except (ValueError, OSError, urllib.error.URLError, json.JSONDecodeError) as exc: + print(json.dumps({"ok": False, "command": args.command, "error": {"code": type(exc).__name__, "message": "operação indisponível; consulte o snapshot local e a origem configurada"}}, ensure_ascii=False)) + return 2 + return 0 + + +if __name__ == "__main__": + raise SystemExit(main()) diff --git a/scripts/model_router.py b/scripts/model_router.py new file mode 100755 index 0000000..c848c15 --- /dev/null +++ b/scripts/model_router.py @@ -0,0 +1,399 @@ +#!/usr/bin/env python3 +"""Seleção conservadora por papel; custos OpenRouter nunca são tarifa de cobrança.""" +from __future__ import annotations + +import datetime as dt +import json +from decimal import Decimal, InvalidOperation +from pathlib import Path +from typing import Any, Iterable + +from model_catalog import (AA_METRIC, AA_VERSION, CACHE_DIR, decimal_text, decimal_value, discover_local_models, + load_snapshot, openrouter_price_for_profile, reference_cost) + +ROLE_BANDS = { + "explorer": "leve", "verifier": "leve", "summarizer": "leve", + "implementer": "media", "ui-critic": "media", + "planner": "alta", "reviewer": "alta", "security-auditor": "alta", +} +DEFAULT_DELTA = {"leve": Decimal(3), "media": Decimal(3), "alta": Decimal(2)} +EXPECTED_HARNESSES = {"opencode": "OpenCode", "omp": "OMP", "claude": "Claude Code"} +WINDOWS = ("5h", "weekly", "monthly") +FIXED_BANDS = { + "leve": (Decimal(10), Decimal(20)), + "media": (Decimal(20), Decimal(50)), + "alta": (Decimal(50), Decimal(100)), +} + + +def validate_bands(bands: dict[str, Any] | None) -> dict[str, tuple[Decimal, Decimal]]: + """Aceita a configuração declarativa apenas se preservar as faixas normativas.""" + if bands is None: + return FIXED_BANDS.copy() + if not isinstance(bands, dict) or set(bands) != set(FIXED_BANDS): + raise ValueError("bands deve conter exatamente leve/media/alta") + normalized = {} + for name, limits in bands.items(): + if not isinstance(limits, (list, tuple)) or len(limits) != 2: + raise ValueError(f"faixa {name} deve declarar dois limites") + low, high = (_decimal(value) for value in limits) + if low is None or high is None: + raise ValueError(f"limites da faixa {name} devem ser decimais") + normalized[name] = (low, high) + if normalized != FIXED_BANDS: + raise ValueError("bands customizadas são recusadas; use 10..20, 20..50 e 50..100") + return normalized + + +def _score_band(score: Decimal | None, bands: dict[str, tuple[Decimal, Decimal]]) -> str | None: + if score is None: + return None + for name in ("leve", "media"): + low, high = bands[name] + if low <= score < high: + return name + low, high = bands["alta"] + return "alta" if low <= score <= high else None + + +def _time(value: Any) -> dt.datetime | None: + if not isinstance(value, str) or not value: + return None + try: + result = dt.datetime.fromisoformat(value.replace("Z", "+00:00")) + except ValueError: + return None + if result.tzinfo is None: + return None + return result.astimezone(dt.timezone.utc) + + +def _decimal(value: Any) -> Decimal | None: + try: + return decimal_value(value) + except ValueError: + return None + + +def _has_token_profile(tokens: dict[str, Any]) -> bool: + return any((_decimal(tokens.get(key)) or Decimal(0)) > 0 for key in ("input", "output", "cache_read", "cache_write")) + + +def _staleness(row: dict[str, Any], now: dt.datetime, max_price_age_hours: Decimal, max_score_age_days: Decimal, + tokens: dict[str, Any]) -> list[str]: + reasons: list[str] = [] + mode = row.get("billing_mode") + paid = mode in ("zen_balance", "go_quota", "omp_payg", "claude_subscription") + price_record = row.get("openrouter") or {"price_per_token_usd": row.get("or_price_per_token") or {}} + price = openrouter_price_for_profile(price_record, tokens) + native = row.get("native_tariff") or {} + has_reference_price = any(price.get("price_per_token_usd", {}).get(k) is not None + for k in ("input", "output", "cache_read", "cache_write")) + if paid: + if has_reference_price: + price_time = _time(price.get("captured_at")) + if price_time is None or price_time > now or (now - price_time).total_seconds() > float(max_price_age_hours * Decimal(3600)): + reasons.append("preco_referencial_obsoleto_ou_ausente") + score = row.get("score") or {} + score_time = _time(score.get("observed_at")) + if score_time is None or score_time > now or (now - score_time).total_seconds() > float(max_score_age_days * Decimal(86400)): + reasons.append("benchmark_obsoleto_ou_ausente") + if mode in ("zen_balance", "omp_payg"): + native_time = _time(native.get("captured_at")) + if native.get("account_confirmed") is not True or not str(native.get("source_url", "")).startswith("https://") or native_time is None or native_time > now or now - native_time > dt.timedelta(hours=float(max_price_age_hours)): + reasons.append("tarifa_nativa_obsoleta_ou_nao_confirmada") + if mode == "go_quota": + quota_time = _time(row.get("quota_verified_at")) + if quota_time is None or quota_time > now or now - quota_time > dt.timedelta(seconds=60) or not str(row.get("quota_source_url", "")).startswith("https://"): + reasons.append("quota_go_obsoleta_ou_nao_confirmada") + availability = row.get("availability") or {} + local_time = _time(availability.get("local_verified_at") or availability.get("verified_at")) + if local_time is None or local_time > now or now - local_time > dt.timedelta(hours=24): + reasons.append("disponibilidade_local_precisa_revalidacao") + account_time = _time(availability.get("account_verified_at")) + if availability.get("authenticated") is True and availability.get("entitled") is True: + if account_time is None or account_time > now or now - account_time > dt.timedelta(hours=24): + reasons.append("entitlement_precisa_revalidacao") + if mode in ("zen_balance", "omp_payg"): + balance_time = _time(availability.get("balance_verified_at")) + if availability.get("balance_confirmed") is not True or balance_time is None or balance_time > now or now - balance_time > dt.timedelta(seconds=60): + reasons.append("saldo_nao_confirmado_ou_obsoleto") + return reasons + + +def _profile_cost(row: dict[str, Any], tokens: dict[str, Any]) -> Decimal | None: + record = row.get("openrouter") or {"price_per_token_usd": row.get("or_price_per_token") or {}} + profile = openrouter_price_for_profile(record, tokens) + return reference_cost(profile.get("price_per_token_usd") or {}, tokens) + + +def _native_cost_and_headroom(row: dict[str, Any], tokens: dict[str, Any]) -> tuple[Decimal | None, Decimal | None, str | None]: + mode = row.get("billing_mode") + native = row.get("native_tariff") + if mode in ("zen_balance", "omp_payg"): + if not _has_token_profile(tokens): + return None, None, "perfil_tokens_native_nao_configurado" + if not isinstance(native, dict) or not isinstance(native.get("price_per_token_usd"), dict) or native.get("account_confirmed") is not True: + return None, None, "tarifa_native_nao_confirmada" + amount = reference_cost(native["price_per_token_usd"], tokens) + if amount is None: + return None, None, "tarifa_native_incompleta_para_perfil" + balance = _decimal(native.get("available_balance_usd")) + availability = row.get("availability") or {} + if availability.get("balance_confirmed") is not True: + return None, None, "saldo_nao_confirmado" + if balance is None or balance < 0: + return None, None, "saldo_desconhecido" + if balance < amount: + return None, balance, "saldo_insuficiente" + return amount, balance - amount, None + if mode == "go_quota": + if not _has_token_profile(tokens): + return None, None, "perfil_tokens_go_nao_configurado" + remaining = row.get("quota_window_remaining") + debit = row.get("quota_window_debit") + if row.get("use_balance_fallback"): + return None, None, "fallback_go_para_saldo_zen_nao_autorizado" + if not isinstance(remaining, dict) or debit is None: + return None, None, "quota_go_nao_confirmada" + debit_map = debit if isinstance(debit, dict) else {window: debit for window in WINDOWS} + headrooms: list[Decimal] = [] + for window in WINDOWS: + available = _decimal(remaining.get(window)) + used = _decimal(debit_map.get(window)) + if available is None or used is None or available < 0 or used < 0: + return None, None, f"janela_go_{window}_desconhecida" + if used > available: + return None, None, f"quota_go_{window}_insuficiente" + headrooms.append(available - used) + representative = _decimal(debit_map.get("monthly")) + if representative is None: + return None, min(headrooms), "debito_go_nao_confirmado" + return representative, min(headrooms), None + if mode == "claude_subscription": + amount = _decimal(row.get("subscription_consumption_usd")) + if amount is None: + return None, None, "consumo_assinatura_nao_mensuravel" + return amount, None, None + return None, None, "modo_de_cobranca_desconhecido" + + +def route(candidates: Iterable[dict[str, Any]], role: str, *, allowed_providers: Iterable[str] = (), + tokens: dict[str, Any] | None = None, budget_usd: Any = None, allow_proxy: bool = False, + delta_points: Any = None, max_price_age_hours: Any = 24, max_score_age_days: Any = 30, + now: dt.datetime | None = None, band_override: str | None = None, + bands: dict[str, Any] | None = None, + benchmark_metric: str = "aa_coding_agent_index_v1.5") -> dict[str, Any]: + """Returns the stable API: selected, ranking, reason. Never dispatches a model.""" + default_band = ROLE_BANDS.get(role) + if default_band is None: + return {"selected": None, "ranking": [], "reason": f"papel_desconhecido:{role}"} + normalized_bands = validate_bands(bands) + band = band_override or default_band + if band not in normalized_bands: + raise ValueError("band deve ser uma faixa fixa: leve, media ou alta") + if benchmark_metric != "aa_coding_agent_index_v1.5": + raise ValueError("benchmark_metric incompatível; somente aa_coding_agent_index_v1.5 é aceito") + if now is None: + now = dt.datetime.now(dt.timezone.utc) + if now.tzinfo is None: + raise ValueError("now precisa de timezone") + now = now.astimezone(dt.timezone.utc) + tokens = tokens or {} + providers = set(allowed_providers) + if not providers: + return {"selected": None, "ranking": [], "reason": "provider_nao_autorizado; informe --providers explicitamente"} + if budget_usd is None: + budget = None + else: + budget = _decimal(budget_usd) + if budget is None or budget < 0: + raise ValueError("budget_usd precisa ser decimal não negativo") + max_price_age = _decimal(max_price_age_hours) + max_score_age = _decimal(max_score_age_days) + if max_price_age is None or max_score_age is None: + raise ValueError("TTL precisa ser decimal não negativo") + delta = _decimal(delta_points) if delta_points is not None else DEFAULT_DELTA[band] + if delta is None or delta < 0 or max_price_age < 0 or max_score_age < 0: + raise ValueError("delta e TTL devem ser decimais não negativos") + + ranking = [] + eligible = [] + reasons_seen: list[str] = [] + for row in candidates: + if not isinstance(row, dict): + continue + provider = row.get("provider") + score = row.get("score") or {} + parsed_score = _decimal(score.get("score")) + row_band = _score_band(parsed_score, normalized_bands) + reference = _profile_cost(row, tokens) + native_cost, headroom, native_error = _native_cost_and_headroom(row, tokens) + excluded: list[str] = [] + availability = row.get("availability") or {} + if provider not in providers: + excluded.append("provider_nao_autorizado") + if availability.get("local_listed") is not True: + excluded.append("nao_listado_localmente") + if availability.get("authenticated") is not True: + excluded.append("autenticacao_nao_confirmada") + if availability.get("entitled") is not True: + excluded.append("entitlement_nao_confirmado") + required_provenance = all(score.get(field) not in (None, "", {}) for field in ("agent", "harness", "settings", "source_url", "observed_at")) + if not required_provenance or not str(score.get("source_url", "")).startswith("https://artificialanalysis.ai/"): + excluded.append("proveniencia_do_benchmark_incompleta") + if score.get("variant") != row.get("variant"): + excluded.append("mapeamento_de_variante_incompativel") + expected_harness = EXPECTED_HARNESSES.get(row.get("tool")) + if score.get("match_grade") == "exact" and score.get("harness") != expected_harness: + excluded.append("harness_incompativel") + if score.get("metric_id") != AA_METRIC or str(score.get("version")) != AA_VERSION: + excluded.append("indice_incompativel_ou_ausente") + if parsed_score is None: + excluded.append("no_scored_candidate") + if score.get("match_grade") not in (("exact", "proxy") if allow_proxy else ("exact",)): + excluded.append("match_proxy_nao_autorizado" if score.get("match_grade") == "proxy" else "mapeamento_de_variante_incompativel") + if row_band != band: + excluded.append("fora_da_faixa" if row_band else "sem_faixa_de_nota") + excluded.extend(_staleness(row, now, max_price_age, max_score_age, tokens)) + if native_error: + excluded.append(native_error) + if row.get("billing_mode") in ("zen_balance", "omp_payg") and budget is None: + excluded.append("orcamento_zen_nao_configurado" if row.get("billing_mode") == "zen_balance" else "orcamento_payg_omp_nao_configurado") + if native_cost is not None and budget is not None and native_cost > budget: + excluded.append("orcamento_excedido") + if row.get("billing_mode") == "claude_subscription" and native_cost is None: + excluded.append("consumo_assinatura_nao_mensuravel") + if row.get("billing_mode") == "go_quota" and headroom is None and native_error is None: + excluded.append("cota_go_nao_confirmada") + key = row.get("model_key") or f"{provider}/{row.get('model_id', '')}" + entry = { + "model_key": key, "provider": provider, "billing_mode": row.get("billing_mode"), + "score": decimal_text(parsed_score), "band": row_band, "match_grade": score.get("match_grade"), + "eligible": not excluded, "exclusion_reasons": excluded, + "reference_cost_usd": decimal_text(reference), "native_cost_or_quota_debit_usd": decimal_text(native_cost), + "quota_headroom_usd": decimal_text(headroom), + } + ranking.append(entry) + if not excluded: + eligible.append((row, entry, parsed_score, native_cost, headroom)) + else: + reasons_seen.extend(excluded) + ranking.sort(key=lambda entry: ( + not entry["eligible"], + _decimal(entry.get("native_cost_or_quota_debit_usd")) if _decimal(entry.get("native_cost_or_quota_debit_usd")) is not None else Decimal("Infinity"), + -(_decimal(entry.get("score")) or Decimal(0)), + -(_decimal(entry.get("quota_headroom_usd")) or Decimal(0)), + entry["model_key"], + )) + if not ranking: + return {"selected": None, "ranking": [], "reason": "no_scored_candidate"} + + if not eligible: + if "no_scored_candidate" in reasons_seen or "indice_incompativel_ou_ausente" in reasons_seen: + reason = "no_scored_candidate_or_compatible_index" + elif "fora_da_faixa" in reasons_seen or "sem_faixa_de_nota" in reasons_seen: + reason = f"faixa_vazia:{band}" + elif "quota_go_5h_insuficiente" in reasons_seen or "quota_go_weekly_insuficiente" in reasons_seen or "quota_go_monthly_insuficiente" in reasons_seen: + reason = "quota_go_insuficiente; execução pausada antes da chamada" + elif "fallback_go_para_saldo_zen_nao_autorizado" in reasons_seen: + reason = "fallback_go_para_saldo_zen_nao_autorizado" + else: + reason = "nenhum_candidato_elegivel:" + ",".join(sorted(set(reasons_seen))) + return {"selected": None, "ranking": ranking, "reason": reason} + + top_score = max(item[2] for item in eligible) + plateau = [item for item in eligible if item[2] >= top_score - delta] + # custo real da ferramenta; desempate: score, folga de quota, ID lexical. + plateau.sort(key=lambda item: (item[3], -item[2], -(item[4] if item[4] is not None else Decimal(0)), item[1]["model_key"])) + chosen = plateau[0] + row, entry, score_value, native_cost, headroom = chosen + selected = { + "model_key": entry["model_key"], + "billing_mode": {"zen_balance": "zen", "go_quota": "go", "omp_payg": "payg", "claude_subscription": "subscription"}.get(row.get("billing_mode"), row.get("billing_mode")), + "billing_mode_detail": row.get("billing_mode"), "score": entry["score"], + "band": band, "match_grade": entry["match_grade"], + "reference_cost_usd": entry["reference_cost_usd"], + "native_cost_or_quota_debit_usd": decimal_text(native_cost), + "estimated_native_usd": decimal_text(native_cost) if row.get("billing_mode") in ("zen_balance", "omp_payg") else None, + "native_tariff": row.get("native_tariff"), + "available_balance_usd": (row.get("native_tariff") or {}).get("available_balance_usd"), + "balance_confirmed": (row.get("availability") or {}).get("balance_confirmed") is True, + "balance_verified_at": (row.get("availability") or {}).get("balance_verified_at"), + "quota_window_remaining": row.get("quota_window_remaining"), + "quota_window_debit": row.get("quota_window_debit"), + "use_balance_fallback": row.get("use_balance_fallback") if row.get("billing_mode") == "go_quota" else False, + "quota_headroom_usd": decimal_text(headroom), + "score_top": decimal_text(top_score), "plateau_delta_points": decimal_text(delta), + } + if row.get("tool") == "omp": + variant = row.get("variant") + selected["dispatch_model_key"] = f"{row['provider']}/{row['model_id']}" + (f":{variant}" if variant else "") + reason = f"menor consumo relevante dentro do platô {band} (score >= {decimal_text(top_score - delta)}); custo OpenRouter é apenas referência" + if len(plateau) > 1: + reason += "; desempate determinístico por consumo, score, folga de cota e model_key" + return {"selected": selected, "ranking": ranking, "reason": reason} + + +def route_from_catalog(tool: str, role: str, allowed_providers: Iterable[str], cache_dir: str | Path | None = None, + *, explain: bool = False, tokens: dict[str, Any] | None = None, budget_usd: Any = None, + allow_proxy: bool = False, delta_points: Any = None, max_price_age_hours: Any = 24, + max_score_age_days: Any = 30, band_override: str | None = None, + bands: dict[str, Any] | None = None, + benchmark_metric: str = "aa_coding_agent_index_v1.5", + now: dt.datetime | None = None, + local_discoverer=discover_local_models, omp_discoverer=None) -> dict[str, Any]: + from model_catalog import discover_omp_models + clock = now or dt.datetime.now(dt.timezone.utc) + snapshot = load_snapshot(tool, cache_dir) + if snapshot is None: + return {"selected": None, "ranking": [], "reason": "snapshot_de_catalogo_ausente; execute models sync"} + if tool not in ("opencode", "omp"): + return {"selected": None, "ranking": [], "reason": f"catalogo_local_nao_disponivel_para_{tool}"} + providers = tuple(allowed_providers) + if not providers: + return route(snapshot.get("models", []), role, allowed_providers=providers, tokens=tokens, budget_usd=budget_usd, + allow_proxy=allow_proxy, delta_points=delta_points, max_price_age_hours=max_price_age_hours, + max_score_age_days=max_score_age_days, band_override=band_override, bands=bands, + benchmark_metric=benchmark_metric, now=clock) + discoverer = local_discoverer if tool == "opencode" else (omp_discoverer or discover_omp_models) + discoveries = {provider: discoverer(provider) for provider in sorted(set(providers))} + verified_at = clock.astimezone(dt.timezone.utc).isoformat().replace("+00:00", "Z") + candidates = [] + for original in snapshot.get("models", []): + row = dict(original) + availability = dict(row.get("availability") or {}) + provider = row.get("provider") + result = discoveries.get(provider) + if result is not None and result.get("ok"): + local_ids = set(result.get("models", [])) + local_model_key = row["model_key"] if tool == "omp" else row["model_id"] + (f"#{row['variant']}" if row.get("variant") else "") + availability["local_listed"] = local_model_key in local_ids + availability["local_verified_at"] = result.get("verified_at", verified_at) + elif provider in discoveries: + availability["local_listed"] = None + availability["local_verified_at"] = None + row["availability"] = availability + candidates.append(row) + return route(candidates, role, allowed_providers=providers, tokens=tokens, budget_usd=budget_usd, + allow_proxy=allow_proxy, delta_points=delta_points, max_price_age_hours=max_price_age_hours, + max_score_age_days=max_score_age_days, band_override=band_override, bands=bands, + benchmark_metric=benchmark_metric, now=clock) + + +def main(argv: list[str] | None = None) -> int: + import argparse + parser = argparse.ArgumentParser(description=__doc__.splitlines()[0]) + parser.add_argument("--tool", choices=("opencode", "omp", "claude"), default="opencode") + parser.add_argument("--role", required=True) + parser.add_argument("--providers", default="") + parser.add_argument("--format", choices=("json",), default="json") + parser.add_argument("--cache-dir") + args = parser.parse_args(argv) + result = route_from_catalog(args.tool, args.role, [p for p in args.providers.split(",") if p], args.cache_dir, explain=True) + print(json.dumps(result, ensure_ascii=False)) + return 0 if result["selected"] is not None else 2 + + +if __name__ == "__main__": + raise SystemExit(main())