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Systematic prune per AGENTS.md test policy, one pass over every major test tree (gateway, hermes_cli, tools, agent, run_agent, plugins, cli, cron, tui_gateway, honcho/openviking, root-level): - DELETE: source-reading tests (read_text/getsource on prod files), change-detector tests (exact catalog counts, model-name snapshots, config version literals), mock-echo tests (assert a mock returns what it was told), assertion-free/trivial tests, near-duplicate parametrizations (boundaries + one representative kept), async/sync twin duplicates, cosmetic within-file variations. - KEEP (mandatory): security/redaction/approval guards, message-role alternation invariants, prompt-caching/deterministic-call-id invariants, issue-number regression tests (deduped), E2E tests. - 6 test files deleted outright (script-style/no-assert or fully redundant); conftest.py, fakes/, fixtures/ untouched. - tests/acp/conftest.py added: autouse fixture stubs the live models.dev/GitHub/Copilot/Anthropic inventory fetches that ACP server tests performed on every session create — test_server.py 147s → 3.4s, and the tests are now genuinely hermetic. - Sleep-based slowness shrunk where safe (codex_ttfb_watchdog, compression_concurrent_fork, etc.); no wall-clock assertion tightened. Verification: full hermetic suite via scripts/run_tests.sh — 2439 files, 31,130 tests passed, 0 failed, 0 flaky retries, 315s wall (baseline: 583s wall, 13,564s subprocess CPU).
314 lines
11 KiB
Python
314 lines
11 KiB
Python
from types import SimpleNamespace
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from agent.usage_pricing import (
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CanonicalUsage,
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estimate_usage_cost,
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get_pricing_entry,
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normalize_usage,
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resolve_billing_route,
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)
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def test_normalize_usage_reads_deepseek_native_cache_hit_tokens():
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"""DeepSeek's native API (api.deepseek.com) reports context-cache hits as
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top-level prompt_cache_hit_tokens / prompt_cache_miss_tokens (with
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prompt_tokens = hit + miss), not OpenAI's nested
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prompt_tokens_details.cached_tokens. Before this fix, direct DeepSeek
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sessions always normalized to cache_read_tokens=0 — cache hits were
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invisible in accounting and billed at the full input rate (#61871)."""
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usage = SimpleNamespace(
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prompt_tokens=2000,
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completion_tokens=400,
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prompt_cache_hit_tokens=1500,
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prompt_cache_miss_tokens=500,
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)
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normalized = normalize_usage(usage, provider="deepseek", api_mode="chat_completions")
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assert normalized.cache_read_tokens == 1500
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# prompt_tokens includes cached; input = 2000 - 1500 = the miss bucket
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assert normalized.input_tokens == 500
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assert normalized.output_tokens == 400
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def test_normalize_usage_openai_reads_top_level_anthropic_cache_fields():
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"""Some OpenAI-compatible proxies (OpenRouter, Cline) expose
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Anthropic-style cache token counts at the top level of the usage object when
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routing Claude models, instead of nesting them in prompt_tokens_details.
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Regression guard for the bug fixed in cline/cline#10266 — before this fix,
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the chat-completions branch of normalize_usage() only read
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prompt_tokens_details.cache_write_tokens and completely missed the
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cache_creation_input_tokens case, so cache writes showed as 0 and reflected
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inputTokens were overstated by the cache-write amount.
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"""
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usage = SimpleNamespace(
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prompt_tokens=1000,
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completion_tokens=200,
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prompt_tokens_details=SimpleNamespace(cached_tokens=500),
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cache_creation_input_tokens=300,
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)
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normalized = normalize_usage(usage, provider="openrouter", api_mode="chat_completions")
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# Expected: cache read from prompt_tokens_details.cached_tokens (preferred),
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# cache write from top-level cache_creation_input_tokens (fallback).
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assert normalized.cache_read_tokens == 500
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assert normalized.cache_write_tokens == 300
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# input_tokens = prompt_total - cache_read - cache_write = 1000 - 500 - 300 = 200
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assert normalized.input_tokens == 200
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assert normalized.output_tokens == 200
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def test_deepseek_v4_pro_pricing_entry_exists():
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"""Regression test: deepseek-v4-pro must have a pricing entry.
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Before this fix, deepseek-v4-pro sessions showed as unknown cost
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in hermes insights because the _OFFICIAL_DOCS_PRICING table had no
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entry for that model. See #24218. Rates track the 2026-07 price cut
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($1.74/$3.48 → $0.435/$0.87).
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"""
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entry = get_pricing_entry(
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"deepseek-v4-pro",
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provider="deepseek",
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)
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assert entry is not None
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assert entry.input_cost_per_million is not None
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assert entry.output_cost_per_million is not None
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assert float(entry.input_cost_per_million) == 0.435
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assert float(entry.output_cost_per_million) == 0.87
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assert float(entry.cache_read_cost_per_million) == 0.003625
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def test_deepseek_deprecated_aliases_price_as_v4_flash():
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"""Invariant: deepseek-chat / deepseek-reasoner are deprecated aliases for
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deepseek-v4-flash's non-thinking / thinking modes (deprecation 2026-07-24)
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— they must bill at identical rates to the flash entry, or sessions on the
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legacy names over/under-report cost."""
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flash = get_pricing_entry("deepseek-v4-flash", provider="deepseek")
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assert flash is not None
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for alias in ("deepseek-chat", "deepseek-reasoner"):
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entry = get_pricing_entry(alias, provider="deepseek")
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assert entry is not None, alias
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assert entry.input_cost_per_million == flash.input_cost_per_million, alias
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assert entry.output_cost_per_million == flash.output_cost_per_million, alias
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assert (
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entry.cache_read_cost_per_million == flash.cache_read_cost_per_million
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), alias
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def test_bedrock_claude_rows_all_carry_cache_pricing():
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"""Invariant: every Bedrock Claude pricing row must carry cache-read AND
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cache-write rates, otherwise a cached session prices as ``unknown``.
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Bedrock Claude routes through the AnthropicBedrock SDK and injects
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cache_control, so cached tokens are always reported — the pricing layer
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must be able to value them. See #50295.
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"""
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from agent.usage_pricing import _OFFICIAL_DOCS_PRICING
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claude_rows = [
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(prov, model)
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for (prov, model) in _OFFICIAL_DOCS_PRICING
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if prov == "bedrock" and "claude" in model
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]
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assert claude_rows, "expected at least one bedrock Claude pricing row"
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for key in claude_rows:
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entry = _OFFICIAL_DOCS_PRICING[key]
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assert entry.input_cost_per_million is not None, key
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assert entry.cache_read_cost_per_million is not None, key
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assert entry.cache_write_cost_per_million is not None, key
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# Cache reads are cheaper than fresh input; cache writes cost more.
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assert entry.cache_read_cost_per_million < entry.input_cost_per_million, key
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assert entry.cache_write_cost_per_million > entry.input_cost_per_million, key
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def test_bedrock_current_gen_claude_rows_resolve():
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"""Current-gen Claude models (Opus 4.8/4.7, Sonnet 5) must have Bedrock
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pricing rows so cached sessions report a dollar cost, not ``unknown``.
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Assert each resolves via the bare id and a cross-region inference profile
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(us./global. prefix), that every id for a given model resolves to the same
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entry, and that the row carries the cache fields a Bedrock Claude session
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needs.
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(Version-suffixed IDs like ``...-v1:0`` are covered separately by the
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normalizer test in the suffix-strip change; this test intentionally sticks
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to id shapes that resolve on ``main`` so it is independent of that PR.)
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"""
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url = "https://bedrock-runtime.us-east-1.amazonaws.com"
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for bare in (
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"anthropic.claude-opus-4-8",
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"anthropic.claude-opus-4-7",
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"anthropic.claude-sonnet-5",
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):
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ref = get_pricing_entry(bare, provider="bedrock", base_url=url)
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assert ref is not None, bare
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assert ref.input_cost_per_million is not None, bare
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assert ref.output_cost_per_million is not None, bare
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# Output costs more than input across the Claude line; sanity-check the
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# row isn't malformed (input < output).
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assert ref.output_cost_per_million > ref.input_cost_per_million, bare
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# Cache fields present so cached sessions price correctly (the #50295
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# symptom was unknown cost on cached Bedrock Claude sessions).
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assert ref.cache_read_cost_per_million is not None, bare
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assert ref.cache_write_cost_per_million is not None, bare
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# Cross-region inference profiles resolve to the same entry.
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for mid in (f"us.{bare}", f"global.{bare}"):
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entry = get_pricing_entry(mid, provider="bedrock", base_url=url)
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assert entry is not None, mid
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assert entry.input_cost_per_million == ref.input_cost_per_million, mid
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assert entry.output_cost_per_million == ref.output_cost_per_million, mid
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def test_bedrock_versioned_inference_profile_resolves_to_bare_pricing():
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"""Bedrock profile IDs may include the provider's dated version suffix.
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The pricing table intentionally uses shorter model-family IDs, so the
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lookup needs a longest-prefix fallback after stripping the region scope.
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"""
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bare = get_pricing_entry("anthropic.claude-sonnet-4-6", provider="bedrock")
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assert bare is not None
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for model in (
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"us.anthropic.claude-sonnet-4-6-20250514-v1:0",
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"global.anthropic.claude-sonnet-4-6-20250514-v1:0",
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):
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scoped = get_pricing_entry(model, provider="bedrock")
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assert scoped is not None, model
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assert scoped.input_cost_per_million == bare.input_cost_per_million
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assert scoped.output_cost_per_million == bare.output_cost_per_million
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assert scoped.cache_read_cost_per_million == bare.cache_read_cost_per_million
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assert scoped.cache_write_cost_per_million == bare.cache_write_cost_per_million
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def test_bedrock_claude_cached_session_estimates_cost_not_unknown():
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"""A Bedrock Claude session with cache hits must produce a dollar estimate,
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not ``unknown`` — the user-visible symptom in #50295.
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"""
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bedrock_url = "https://bedrock-runtime.us-east-1.amazonaws.com"
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usage = SimpleNamespace(
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input_tokens=55,
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output_tokens=7113,
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cache_read_input_tokens=1369379,
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cache_creation_input_tokens=42135,
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)
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canonical = normalize_usage(usage, provider="bedrock", api_mode="anthropic_messages")
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assert canonical.cache_read_tokens == 1369379
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assert canonical.cache_write_tokens == 42135
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result = estimate_usage_cost(
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"us.anthropic.claude-opus-4-6",
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canonical,
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provider="bedrock",
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base_url=bedrock_url,
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)
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assert result.status == "estimated"
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assert result.amount_usd is not None
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def test_fireworks_router_fast_tier_prices_distinctly():
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"""Fast serving tiers live under accounts/fireworks/routers/<name>-fast and
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bill at higher rates than the standard model — the routing layer's
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rsplit("/", 1) must land on the distinct fast-tier entry."""
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standard = get_pricing_entry(
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"accounts/fireworks/models/kimi-k2p6",
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provider="fireworks",
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base_url="https://api.fireworks.ai/inference/v1",
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)
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fast = get_pricing_entry(
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"accounts/fireworks/routers/kimi-k2p6-fast",
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provider="fireworks",
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base_url="https://api.fireworks.ai/inference/v1",
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)
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assert standard is not None and fast is not None
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assert fast.input_cost_per_million > standard.input_cost_per_million
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assert fast.output_cost_per_million > standard.output_cost_per_million
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def test_google_and_vertex_routes_share_official_pricing_snapshot():
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"""Direct Gemini, Vertex, and Vertex's OpenAI-compatible hostname must
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all normalize to the Google official-pricing route.
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"""
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routes = (
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resolve_billing_route("model", provider="gemini"),
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resolve_billing_route("google/model", provider="vertex"),
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resolve_billing_route(
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"google/model",
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provider="custom",
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base_url="https://aiplatform.googleapis.com/v1/projects/example",
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),
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)
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assert all(route.provider == "google" for route in routes)
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assert all(route.billing_mode == "official_docs_snapshot" for route in routes)
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def test_vertex_default_model_estimates_cached_usage(monkeypatch):
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"""The bundled Vertex profile's default auxiliary model must fall back to
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Google snapshot pricing when the OpenAI-compatible endpoint has no model
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metadata, including for cache-read accounting.
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"""
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from providers import get_provider_profile
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monkeypatch.setattr(
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"agent.usage_pricing.fetch_endpoint_model_metadata",
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lambda *_args, **_kwargs: {},
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)
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vertex = get_provider_profile("vertex")
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result = estimate_usage_cost(
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vertex.default_aux_model,
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CanonicalUsage(input_tokens=100, output_tokens=100, cache_read_tokens=100),
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provider=vertex.name,
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base_url=vertex.base_url,
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)
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assert result.status == "estimated"
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assert result.amount_usd is not None and result.amount_usd > 0
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