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Problema
Después de implementar los pasos de revisión, detección en base online y confirmación de publicación, se detectaron
problemas de legibilidad y jerarquía visual en la app desplegada.
En particular: ...
enhancement
mide
priority:high
PR #106 added the .active className conditional to Sidebar.jsx and PR #99 added DeleteChatModal s isActive-redirect
logic, but both read useParams().chatId even though App.jsx defines the route as /app/c/:id ...
agent-safe
bug
priority:p1
size:xs
status:ready
Follow-up from PR #17: https://github.com/jgravelle/jdocmunch-mcp/pull/17
The gap
Downstream MCP workflows need a stable way to cite the exact documentation snapshot used for retrieval.
Today, an indexed ...
Problem Statement
The openextract CLI only supports a single positional input_file and always calls sync extract() without token usage. It
does not expose batch extraction, --media-type, reading from ...
enhancement
Problem Statement
The README API reference section only documents extract(), but the package exports several other public entry points
(extract_async, extract_many, extract_many_async, extract_with_usage, ...
documentation
enhancement
Problem Statement
examples/ only demonstrates single-file extract() (invoice, receipt, meeting notes). There are no runnable samples for
extract_many or extract_with_usage, which are key APIs since v0.5 ...
documentation
enhancement
Problem Statement
URL fetching uses hardcoded constants (_URL_FETCH_TIMEOUT = 30.0, _MAX_REDIRECTS = 10). Large files or slow hosts cannot
be tuned without vendoring/forking. This is inconsistent with ...
enhancement
Problem Statement
The package has typed public APIs (TypeVar, BinaryIO, etc.) but does not ship a py.typed marker and has no static type
checking in CI. Editor autocomplete and downstream type checkers ...
enhancement
Problem Statement
max_retries and retry_backoff exist only on sync extract(). extract_async, extract_with_usage, extract_with_usage_async,
and batch helpers (extract_many, extract_many_async) call the ...
enhancement
Problem Statement
Core pyproject.toml dependencies bundle every pydantic-ai-slim provider extra (anthropic, bedrock, cohere, google, groq,
huggingface, mistral, openai, openrouter, xai, logfire). Users ...
enhancement

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