matt-house-e/accrue

Weekly maintenance — 2026-08-16 about 1 month ago

documentation good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

Cost report omits cache_creation and cache_read tokens (under-reports 63x) about 1 month ago

bug good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

Weekly maintenance — 2026-08-02 about 2 months ago

documentation good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

Weekly maintenance — 2026-07-26 about 2 months ago

documentation good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

Weekly maintenance — 2026-06-28 3 months ago

documentation good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

Weekly maintenance — 2026-05-31 4 months ago

documentation good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

Weekly maintenance — 2026-05-24 4 months ago

documentation good first issue

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

feat: AgentStep — tool-use loop step type 4 months ago

enhancement help wanted priority:low

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

spike: per-row trust signal (_confidence column) — methodology research 4 months ago

enhancement help wanted priority:medium

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

feat: result.report() — pipeline run summary (HTML/Markdown) 4 months ago

enhancement good first issue priority:high

matt-house-e/accrue

2

Composable enrichment pipeline engine for structured data enrichment using LLMs

Python

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