Files
periscope/backend/services/llm/pricing.py
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Siddharth Kothari 6672d2be57 Pinscope open-source core
Agentic schematic validation: datasheet extraction via Claude Console
Skills, netlist/BOM design graph, per-IC direct datasheet review with
page citations, capacitor derating, Next.js report UI.

Extracted from the Pinscope cloud codebase. Auth and billing live in the
private gateway repo behind stable seams (billing_hook.py, adapter files
listed in CLAUDE.md).
2026-07-16 21:29:45 -07:00

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"""Per-provider pricing tables and cost computation.
Replaces the flat ``PRICING`` dict that used to live in
``backend/services/api_logs.py``. Indexed by (provider, model).
"""
from __future__ import annotations
# Per-million-token USD rates. Source-of-truth links:
# Anthropic: https://docs.anthropic.com/en/docs/about-claude/pricing
# Google: https://ai.google.dev/pricing
# Last updated: 2026-07-01
PRICING: dict[str, dict[str, dict[str, float]]] = {
"anthropic": {
"claude-opus-4-6": {"input": 5.00, "output": 25.00},
"claude-opus-4-5": {"input": 5.00, "output": 25.00},
"claude-opus-4-1": {"input": 15.00, "output": 75.00},
"claude-opus-4": {"input": 15.00, "output": 75.00},
"claude-sonnet-4-6": {"input": 3.00, "output": 15.00},
# Sonnet 5 standard rate (== Sonnet 4.6). Introductory pricing of
# $2/$10 runs through 2026-08-31; intentionally NOT tracked here —
# chosen set-and-forget so no dated bump is needed on 2026-09-01.
# (New tokenizer emits ~30% more tokens, so per-run cost still rises.)
"claude-sonnet-5": {"input": 3.00, "output": 15.00},
"claude-sonnet-4-5": {"input": 3.00, "output": 15.00},
"claude-sonnet-4": {"input": 3.00, "output": 15.00},
"claude-haiku-4-5-20251001": {"input": 1.00, "output": 5.00},
"claude-haiku-4-5": {"input": 1.00, "output": 5.00},
"claude-haiku-3-5": {"input": 0.80, "output": 4.00},
"default": {"input": 3.00, "output": 15.00},
},
"gemini": {
# Gemini 3 Flash pricing (per 1M tokens). Preview alias mirrors GA.
"gemini-3-flash-preview": {"input": 0.30, "output": 2.50},
"gemini-3-flash": {"input": 0.30, "output": 2.50},
"gemini-flash-latest": {"input": 0.30, "output": 2.50},
"gemini-2.5-flash": {"input": 0.30, "output": 2.50},
"gemini-2.5-pro": {"input": 1.25, "output": 10.00},
# Gemini 3.1 Pro Preview — standard tier, prompts ≤200k tokens.
# Above 200k Google charges $4.00/$18.00; we don't yet split by
# prompt size, so we use the smaller-tier rate. Almost every
# pipeline call here is well under 200k.
"gemini-3.1-pro-preview": {"input": 2.00, "output": 12.00},
"gemini-3-pro-preview": {"input": 2.00, "output": 12.00},
"default": {"input": 0.30, "output": 2.50},
},
}
# Per-provider cache token multipliers, applied on top of the input rate.
# create: cost when a cache is *written* (Anthropic charges 1.25× input;
# Gemini charges 1.0× input — caching writes are billed as a
# normal input pass)
# read: cost when a cached prefix is *reused* (much cheaper)
CACHE_RATES: dict[str, dict[str, float]] = {
"anthropic": {"create": 1.25, "read": 0.10},
"gemini": {"create": 1.00, "read": 0.25},
}
def cost_for_entry(entry: dict) -> float:
"""USD cost for an api_logs entry. Reads ``provider`` (default
``anthropic`` for legacy entries) and ``model`` to pick rates."""
provider = entry.get("provider") or "anthropic"
table = PRICING.get(provider) or PRICING["anthropic"]
rates = table.get(entry.get("model", ""), table["default"])
cache_rates = CACHE_RATES.get(provider, CACHE_RATES["anthropic"])
input_rate = rates["input"]
output_rate = rates["output"]
return (
entry.get("input_tokens", 0) * input_rate
+ entry.get("cache_creation_input_tokens", 0) * input_rate * cache_rates["create"]
+ entry.get("cache_read_input_tokens", 0) * input_rate * cache_rates["read"]
+ entry.get("output_tokens", 0) * output_rate
) / 1_000_000
def total_cost(entries: list[dict]) -> float:
"""Sum USD across entries."""
return round(sum(cost_for_entry(e) for e in entries), 6)