ThinkMesh
ThinkMesh is a python library for running diverse reasoning paths in parallel, scoring them with internal confidence signals, reallocates compute to promising branches, and fuses outcomes with verifiers and reducers. It works with offline Hugging Face Transformers and vLLM/TGI, and with hosted APIs.
Note: This is still in it's early development phase and breaking changes can sometimes occur
Highlights
Parallel reasoning with DeepConf‑style confidence gating and budget reallocation
Offline‑first with Transformers; optional vLLM/TGI for server‑side batching
Hosted adapters for OpenAI and Anthropic
Async execution with dynamic micro‑batches
Reducers (majority/judge) and pluggable verifiers (regex/numeric/custom)
Caching, metrics, and JSON traces
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