Skip to main content

Maintain a local, LLM-queryable corpus of an IETF Working Group's public record (drafts, mailing list, GitHub issues, meetings), with an MCP server, semantic search, and NotebookLM export.

Project description

ietf-llm

Maintain a local, queryable corpus of an IETF effort's public record — a Working Group, an IRTF Research Group, a mailing list, or a set of drafts. It pulls together charter, drafts, RFCs, meeting agendas, minutes, slides, transcripts, mailing list archives, and GitHub issues for use with LLM-based tools.

What it's for

A working group's history is spread across mailing list archives, Datatracker, GitHub, and meeting materials — too much to hold in your head, and too scattered to search well by hand. With the record gathered into one queryable corpus, an LLM can help you:

  • Get up to date with the state of discussions — what's open, what was recently decided, where a debate currently stands.
  • Summarise the arguments already made about an issue — every distinct position on a topic, who holds it, and how the chairs ruled.
  • Formulate a new proposal — surface the objections raised against similar ideas before, so you can anticipate them.
  • Fact-check assertions about what's happened so far — grounded in the actual list traffic and chair statements, not someone's recollection.

Tip: for an IRTF Research Group, pass its shortname (e.g. cfrg, hrpc, pearg) wherever the docs use <name> — it works the same as a WG.

Modes of operation

There are three supported workflows:

  1. Use it as an MCP server — register it with Claude, Codex, Cursor, Gemini, Zed, etc. and ask questions across any corpus you've gathered. Two ways to run it:
    • Local MCP — one server subprocess per client, on your own machine. <-- Best starting point
    • As a shared HTTP MCP server — one process serving many concurrent clients (hosted).
  2. Use it with NotebookLM — export the gathered corpus as a directory of clean text files and ingest it as a notebook (or push directly to NotebookLM Enterprise).
  3. Use it from the CLI — run semantic search over the cache directly with ietf-llm-search, no LLM client required.

See the workflow documentation linked above for installation and use instructions, or the full documentation listing.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ietf_llm-0.11.3.tar.gz (558.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ietf_llm-0.11.3-py3-none-any.whl (420.8 kB view details)

Uploaded Python 3

File details

Details for the file ietf_llm-0.11.3.tar.gz.

File metadata

  • Download URL: ietf_llm-0.11.3.tar.gz
  • Upload date:
  • Size: 558.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ietf_llm-0.11.3.tar.gz
Algorithm Hash digest
SHA256 8734a611eb570a631f23aa3d86e0ea391d59bc443aaf2a1094e9a03eee573475
MD5 69874dbc41e4cef6e9a016fd2d39610a
BLAKE2b-256 ed603a99ba8b44c307650e5735fce2d13b01debd972df9eec51fe471c6f41733

See more details on using hashes here.

Provenance

The following attestation bundles were made for ietf_llm-0.11.3.tar.gz:

Publisher: publish.yml on mnot/ietf-llm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file ietf_llm-0.11.3-py3-none-any.whl.

File metadata

  • Download URL: ietf_llm-0.11.3-py3-none-any.whl
  • Upload date:
  • Size: 420.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for ietf_llm-0.11.3-py3-none-any.whl
Algorithm Hash digest
SHA256 d9cd0adee89fb1e16fe7f8a5868a15cf981c0c2213b9e1727418493c3558395c
MD5 8c1d3028a72ff5bfa88f994ef74a3655
BLAKE2b-256 eb3240c88a8cdee33e0cfb95d59affbdeb76e6dc8f2cbcbe84e40136c4097e47

See more details on using hashes here.

Provenance

The following attestation bundles were made for ietf_llm-0.11.3-py3-none-any.whl:

Publisher: publish.yml on mnot/ietf-llm

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page