# werkrevisor host config for reviewing werkrevisor itself on git.javagil.de.
# It holds only what the host decides: model, prices, budget, gate, engine and the classifier endpoint.
# The review rules of the repository are in .werkrevisor.toml at the repository root.
# The PR never changes this file; Werkator passes its path in WERKREVISOR_CONFIG.

[model]
# The trial chose Sonnet: gemini-3.8-flash missed an obvious resource leak that Sonnet found.
id = "openrouter/anthropic/claude-sonnet-5.5"
# Operator-maintained prices in USD per 1M tokens.
input_price_usd_per_mtok = 2.00
output_price_usd_per_mtok = 10.00
# Longer prompts degrade the review even within the context window of a frontier model.
# The budget derives a lower input limit: 2 attempts × (input × 2.00 + 4000 × 10.00) / 1M ≤ 0.40 USD gives 80000 tokens.
max_context_tokens = 150000
# Includes reasoning tokens.
max_output_tokens = 4000
reasoning_effort = "low"
timeout_seconds = 120
max_retries = 1
# Anthropic counts more tokens than o200k_base; calibrate with prompt_tokens / counted_raw_tokens of the usage records.
# On werkrevisor PR#10 the factor 1.15 gave 49841 tokens, Anthropic reported 65792: 1.15 × 65792 / 49841 ≈ 1.52.
token_count_factor = 1.55

[budget]
max_usd_per_review = 0.40
min_key_remaining_usd = 0.50

[hard_orange]
# .werkrevisor.toml adds the critical paths of werkrevisor.
paths = []

[mechanical]
# A changed file whose every changed line is an import, a whitespace change or a rename does not go to the model.
# The built-in rules apply; .werkrevisor.toml may adjust them.
enabled = true

[gate]
# Branch protection requires one approval from {bot, human_reviewers}; see the README.
yellow_gate = "approval"
human_reviewers = ["mi"]
assessment_context = "ai-review/assessment"

[engine]
# "llm": the LLM review alone; "classifier": Jev alone, no LLM; "combined": Jev, then the LLM with Jev's hints.
mode = "combined"

[classifier]
endpoint = "https://api.typesafe.ai/v1/systemone"
model = "jev-latest"
# Operator-maintained price in USD per 1M input tokens; Jev's output is free.
input_price_usd_per_mtok = 0.042
# Jev reads about 32000 tokens of state; a larger unit is not sent and makes the review YELLOW.
max_state_chars = 60000
max_units = 80
timeout_seconds = 20