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Aautogenproximity-clusterer1.0.0

Proximity Clusterer

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Group the ranked hypotheses by how close they are to one another, so the spread of the field is visible rather than just its top.

used in 1 blueprint

Specification

97 words · handed to the agent

Embed each hypothesis and group them by proximity. Emit the groups on clustered, each carrying its members unchanged and in the order they arrived, so the ranking survives the grouping. A group of one is a real result and must be emitted as such: an isolated hypothesis is the most interesting thing this node can find, and folding it into the nearest group to tidy the output destroys exactly that. Do not rewrite, summarise or retitle a hypothesis to make a grouping cleaner, and do not write anything from this run back into the store you search.

Interfaces

1 in · 1 out

Inputs

1
Inputs declared by this node card
NameData typeRequiredDescription
rankedjson requiredThe ordered hypotheses with their comparison records.

Outputs

1
Outputs declared by this node card
NameData typeDescription
clusteredjsonThe hypotheses grouped by proximity, ranking preserved inside each group.

Dependencies

1

The upstream nodes this card expects to receive from. Whenever a blueprint pins this card, each name is checked against a real edge in that graph. A name without a link is not a published card; it refers to a node inside some graph.

Card values

15 declared

Who the node is. The id is the key the DOT pins.

id
proximity-clusterer
name
Proximity Clusterer
type
tool
phases
none declared
Behaviourcard spec →

What it does, and the prose the agent is handed when the graph runs.

action25 words
Group the ranked hypotheses by how close they are to one another, so the spread of the field is visible rather than just its top.
spec97 words
Embed each hypothesis and group them by proximity. Emit the groups on clustered, each carrying its members unchanged and in the order they arrived, so the ranking survives the grouping. A group of one is a real result and must be emitted as such: an isolated hypothesis is the most interesting thing this node can find, and folding it into the nearest group to tidy the output destroys exactly that. Do not rewrite, summarise or retitle a hypothesis to make a grouping cleaner, and do not write anything from this run back into the store you search.in full above
model
whatever the graph supplies
agent
Clusterer
skill
not named
tools
Vector store
mcp
qdrant
params
min_cluster_size: 1
Interfacescard spec →

What arrives, what leaves, which nodes it expects to hear from, and what may not.

inputs
ranked : json
outputs
clustered : json
dependencies
elo-tournament
cannot
no type is refused
will_not
fold a single-member group into its nearest neighbour, write this run's own text back into the store
Evaluation metadatacard spec →

The keys the static analysis reads. Nothing here instructs the agent.

risk_markers
none
notes
none
Service fieldscard spec →

The card's own version, and who wrote it.

version
1.0.0
author
autogen
provenance
not stated

Definitions for every card field

Version history

1 version published
  1. proximity-clusterer@1.0.0currentsha256:c5497b36dc35154f14ac2b4ed43af048181b11ceb53639dfea3076fbe77e9908

    pinned byHypothesis Tournamentautogen/hypothesis-tournament

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First published version, so there is nothing to compare yet. Versions are never edited in place: the next change arrives as a new version, and the differences between the two documents are listed here.

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