bbidpa / wisedome-router-v1

huggingface.co
Total runs: 5
24-hour runs: 0
7-day runs: -3
30-day runs: -4
Model's Last Updated: June 05 2026
text-classification

Introduction of wisedome-router-v1

Model Details of wisedome-router-v1

Wisedome Router

A lightweight workflow routing model based on MiniLM.

The model predicts the next action an AI assistant should perform given:

  • User query
  • Previously executed actions
  • Context state

The model is designed for AI workflow orchestration, RAG systems, tool use, document analysis pipelines, and local assistants.


Supported Actions

The classifier predicts one of the following actions:

Action Description
DIRECT Answer directly from model knowledge
WEB_SEARCH Retrieve information from the internet
FILE_CONTEXT Retrieve information from uploaded files
RAG Retrieve information from local indexed knowledge
TOOL_CALL Execute a tool or calculation
CODE Generate code
CLARIFY Ask the user for clarification
ANSWER Generate the final answer
EOF End workflow

Route Benchmark
Example route:
Query: Compare the uploaded PDF with the latest Flutter documentation

Expected:

  • FILE_CONTEXT
  • WEB_SEARCH
  • ANSWER
  • EOF

Predicted:

  • FILE_CONTEXT
  • WEB_SEARCH
  • ANSWER
  • EOF
Example

Input:

Query: summarize the uploaded report and compare it with recent market trends
Previous actions: none

Output:

FILE_CONTEXT

Input:

Query: summarize the uploaded report and compare it with recent market trends
Previous actions: FILE_CONTEXT

Output:

WEB_SEARCH

Input:

Query: summarize the uploaded report and compare it with recent market trends
Previous actions: FILE_CONTEXT, WEB_SEARCH

Output:

ANSWER

Input:

Query: summarize the uploaded report and compare it with recent market trends
Previous actions: FILE_CONTEXT, WEB_SEARCH, ANSWER

Output:

EOF
Route Exact Match Accuracy: 86.7%

Architecture

Base model:

sentence-transformers/all-MiniLM-L6-v2

Classification head:

Linear classification layer trained for next-step workflow prediction.


Evaluation

Test set size: 3642 samples

Accuracy: 0.93

Macro F1: 0.87

Weighted F1: 0.93

Per-class F1
Label F1
ANSWER 0.95
FILE_CONTEXT 0.94
RAG 0.96
WEB_SEARCH 0.87
CODE 0.83
DIRECT 0.82
CLARIFY 0.77
TOOL_CALL 0.67
EOF 1.00

Sequence match accuracy: 86.7%


Intended Use

This model is intended for:

  • AI workflow orchestration
  • Agent routing
  • RAG pipelines
  • Tool-using assistants
  • Local AI assistants
  • Multi-step workflow planning

Limitations

The model does not answer user questions directly.

It predicts workflow actions only.

Performance depends on the workflow definitions and training dataset used.

The model may not generalize to workflows that differ significantly from those seen during training.


License

Apache 2.0

Runs of bbidpa wisedome-router-v1 on huggingface.co

5
Total runs
0
24-hour runs
-1
3-day runs
-3
7-day runs
-4
30-day runs

More Information About wisedome-router-v1 huggingface.co Model

More wisedome-router-v1 license Visit here:

https://choosealicense.com/licenses/apache-2.0

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wisedome-router-v1 install

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