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179k results

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

Context Sub-issue of #58 (repo-scope tool-config prohibition). Companion to the GitHub MCP server work in #1063. #1063 adds a local GitHub MCP server by special exception. The server declaration belongs ...
threat:intel-needed

Bug Every POST /chat request returns HTTP 500 because app/config.py line 22 defaults AZURE_OPENAI_DEPLOYMENT to gpt-4o-prod, which does not exist on the Azure OpenAI resource. The correct deployment name ...
bug
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ProTip! Restrict your search to the title by using the in:title qualifier.