mirror of https://github.com/codeflash-ai/codeflash-internal.git synced 2026-05-04 18:25:18 +00:00

Kevin Turcios dfc56f19a0 feat: add Tessl tiles for codeflash-internal (rules, docs, skills)

Three private tiles published to the codeflash workspace:
- codeflash-internal-rules: 6 eager rules (code-style, architecture,
  optimization-patterns, git-conventions, testing-rules, multi-language-handlers)
- codeflash-internal-docs: 8 lazy doc pages (domain-types, optimization-pipeline,
  test-generation-pipeline, context-extraction, aiservice/cf-api endpoints,
  configuration-thresholds, llm-provider-abstraction)
- codeflash-internal-skills: 4 on-demand skills (debug-optimization-failure,
  add-language-support, add-api-endpoint, debug-test-generation)

2026-02-14 22:16:33 -05:00

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Configuration & Thresholds

Key constants and configuration values used across the optimization pipeline.

Model Distribution (`core/shared/optimizer_config.py`)

MAX_OPTIMIZER_CALLS = 6 — maximum parallel optimization calls
MAX_OPTIMIZER_LP_CALLS = 7 — maximum line profiler optimization calls
Distribution formula: claude_calls = (total - 1) // 2, gpt_calls = total - claude_calls
Example: 6 total → 4 OpenAI + 2 Anthropic

Default Request Values

OptimizeSchema.n_candidates = 5 — default optimization candidates
OptimizeSchemaLP.n_candidates = 6 — default line profiler candidates
OptimizeSchema.language = "python" — default language

LLM Model Costs (USD per 1M tokens)

Model	Input	Cached Input	Output
GPT-4.1	$2.00	$0.50	$8.00
GPT-5-mini	$0.25	$0.03	$2.00
Claude Sonnet 4.5	$3.00	—	$15.00
Claude Haiku 4.5	$1.00	—	$5.00

Model Assignments

Purpose	Primary	Fallback
Optimization	GPT-5-mini	Claude Sonnet 4.5
Explanation	GPT-5-mini	Claude Sonnet 4.5
Planning	GPT-5-mini	Claude Sonnet 4.5
Execution	GPT-5-mini	Claude Sonnet 4.5
Ranking	GPT-5-mini	Claude Sonnet 4.5
Refinement	Claude Sonnet 4.5	GPT-5-mini
Code Repair	Claude Sonnet 4.5	GPT-5-mini
Explanations	Claude Sonnet 4.5	GPT-5-mini
Optimization Review	Claude Sonnet 4.5	GPT-5-mini
Adaptive Optimize	Claude Sonnet 4.5	GPT-5-mini
Cost-effective (testgen)	Claude Haiku 4.5	GPT-5-mini

Ruff Configuration (`pyproject.toml`)

line-length = 120
select = ["ALL"] with specific ignores (see tool.ruff.lint.ignore)
fix = true, show-fixes = true
Runtime-evaluated base classes: pydantic.BaseModel, ninja.Schema, typing.TypedDict
Excluded paths: core/languages/python/testgen/tests, core/languages/python/testgen/sqlalchemy

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