sentence-transformers
English
agentweave_semantic_router
agentweave
agentic-ai
tool-routing
semantic-routing
function-calling
cpu
minilm
pre-inference-routing
Instructions to use sauravsingla08/AgentWeave-Router-MiniLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sauravsingla08/AgentWeave-Router-MiniLM with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sauravsingla08/AgentWeave-Router-MiniLM") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
| { | |
| "research": [ | |
| "research a technical topic using authoritative sources", | |
| "compare alternatives and gather supporting evidence", | |
| "investigate prior work, documentation, or literature" | |
| ], | |
| "retrieval": [ | |
| "retrieve facts, records, documents, or external information", | |
| "search for relevant evidence before answering", | |
| "look up documentation, references, or source material" | |
| ], | |
| "analysis": [ | |
| "analyze evidence, systems, tradeoffs, risks, or behavior", | |
| "reason over multiple inputs and identify important patterns", | |
| "evaluate a technical claim or architecture" | |
| ], | |
| "coding": [ | |
| "write, inspect, debug, or modify source code", | |
| "build a prototype or implementation", | |
| "test code and identify correctness problems" | |
| ], | |
| "planning": [ | |
| "create an implementation plan, workflow, or sequence of actions", | |
| "design a migration, experiment, or engineering approach", | |
| "organize tasks and optimize the execution path" | |
| ], | |
| "verification": [ | |
| "verify a claim, result, constraint, or implementation", | |
| "independently validate evidence or conclusions", | |
| "check consistency, correctness, compliance, or reliability" | |
| ], | |
| "summarization": [ | |
| "summarize findings into a concise structured response", | |
| "compress multiple analyses while preserving key conclusions", | |
| "produce a clear synthesis of technical information" | |
| ], | |
| "data_analysis": [ | |
| "analyze a dataset and identify trends or anomalies", | |
| "inspect metrics, measurements, tables, or experimental results", | |
| "perform quantitative analysis and summarize findings" | |
| ] | |
| } | |