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## Description Adds pricing support for DeepSeek V4 models (`deepseek-v4-flash` and `deepseek-v4-pro`) when routing Headroom through `--anthropic-api-url https://api.deepseek.com/anthropic`. The vendored LiteLLM pricing database predates DeepSeek V4, so cost estimation silently returned `None` for these models. ## Type of Change - [x] New feature (non-breaking change that adds functionality) ## Changes Made - **`headroom/pricing/deepseek_prices.py`** — New pricing data module with `ModelPricing` dataclass entries for both V4 models, following the pattern of `anthropic_prices.py` - **`headroom/pricing/__init__.py`** — Exports `DEEPSEEK_PRICES`, `get_deepseek_registry()`, `DEEPSEEK_LAST_UPDATED` - **`headroom/pricing/litellm_pricing.py`** — Runtime injection of DeepSeek V4 pricing into `litellm.model_cost`, plus `deepseek-` prefix added to `resolve_litellm_model()` provider prefix list - **`headroom/providers/anthropic.py`** — DeepSeek fallback in `_get_pricing()` when model starts with `deepseek-` and LiteLLM is unavailable - **`crates/headroom-proxy/data/model_prices_and_context_window.json`** — Vendored JSON entries (bare + provider-prefixed) for Rust-side context window lookups - **`tests/test_providers/test_deepseek.py`** — 20 tests across 3 test classes (pricing data, LiteLLM injection, Anthropic fallback) - **`tests/test_pricing.py`** — Added DeepSeek export validation alongside existing OpenAI/Anthropic assertions ## Testing - [x] Unit tests pass (`pytest`) - [ ] Linting passes (`ruff check .`) - [ ] Type checking passes (`mypy headroom`) - [x] New tests added for new functionality - [ ] Manual testing performed ### Test Output ``` ========================= 137 passed, 8 warnings in 8.47s ========================= ``` ## Real Behavior Proof - Environment: Windows 10, Python 3.12, litellm 1.60+ - Exact command / steps: `python -c "from headroom.proxy.cost import CostTracker; t = CostTracker(); print(t.estimate_cost('deepseek-v4-flash', input_tokens=1000000, output_tokens=1000000))"` - Observed result: `$0.4200` (0.14 input + 0.28 output per 1M tokens) - Not tested: Live DeepSeek API routing via `--anthropic-api-url` (requires API key and Docker deployment) ## Review Readiness - [x] I have performed a self-review - [x] This PR is ready for human review ## Checklist - [x] My code follows the project's style guidelines - [x] I have performed a self-review of my code - [x] I have commented my code, particularly in hard-to-understand areas - [x] My changes generate no new warnings - [x] I have added tests that prove my fix is effective or that my feature works - [x] New and existing unit tests pass locally with my changes - [ ] I have updated the CHANGELOG.md if applicable ## Additional Notes The 90% cache discount heuristic in `AnthropicProvider.estimate_cost()` (line 680) is a pre-existing pattern. DeepSeek V4 has much deeper cache discounts (98-99%), but the LiteLLM path currently falls through to the manual fallback which uses correct cached prices. A future improvement could prefer `cache_read_input_token_cost` from model info over the hardcoded `* 0.1` heuristic. --------- Co-authored-by: Claude <noreply@anthropic.com> |
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