{"id":"upsonic-upsonic","name":"Upsonic","af_score":56.8,"security_score":54.5,"reliability_score":31.2,"what_it_does":"Upsonic is a Python agent framework for building production-oriented LLM agents. It supports multiple model providers (e.g., OpenAI/Anthropic/Azure/Bedrock), tool integration (including MCP and custom tools), OCR/document processing, memory/state management, multi-agent coordination, and a safety engine with policy-based content handling.","best_when":"You want a Python-first agent framework that bundles safety policies, memory, OCR, and tool orchestration for building fintech/banking-style automation and compliance-aware agents.","avoid_when":"You require strict, externally documented API contracts for programmatic integration (e.g., OpenAPI/REST endpoints) or you cannot review/operate sandbox/tooling and storage choices yourself.","last_evaluated":"2026-03-29T14:56:07.722300+00:00","has_mcp":true,"has_api":false,"auth_methods":["Provider API keys (OpenAI/Anthropic/Azure/Bedrock via supported integrations)","Environment-variable based credentials (implied via python-dotenv dependency, not explicitly documented in provided text)"],"has_free_tier":false,"known_gotchas":["Tool integrations and sandbox execution need review for safety/permissions (framework claims dangerous commands and path traversal are blocked, but exact guarantees not validated from provided text).","Safety Engine policy behavior (anonymize vs block vs exception) can change outputs; downstream systems must handle policy-triggered transformations."],"error_quality":0.0}