{"id":"andrewyng-aisuite","name":"aisuite","homepage":null,"repo_url":"https://github.com/andrewyng/aisuite","category":"ai-ml","subcategories":[],"tags":["python","llm","llm-integration","tool-calling","agents","mcp","sdk","unified-api"],"what_it_does":"aisuite is a lightweight Python library that provides a unified, OpenAI-style chat completions interface across multiple LLM providers. It also offers tool-calling abstractions (manual tool handling and automatic multi-turn tool execution via max_turns) and supports Model Context Protocol (MCP) tools through an MCPClient or tool config. Providers are added via a plugin-style adapter architecture.","use_cases":["Build chatbots that can switch between multiple LLM providers with minimal code changes","Implement function/tool calling with consistent semantics across providers","Create lightweight agentic workflows with automatic tool execution loops (bounded by max_turns)","Integrate external MCP servers (e.g., filesystem/database) as callable tools for models"],"not_for":["Production systems needing a fully managed/hosted agent runtime (it is a client-side library)","Use cases requiring a REST/hosted service API, since this is a Python SDK","Organizations requiring strict guarantees around provider-specific data handling or compliance controls (not evidenced in the provided materials)"],"best_when":"You want a single Python codepath to call and tool-call across heterogeneous LLM providers, and you can manage provider credentials and any tool-side execution securely.","avoid_when":"You need explicit, provider-agnostic rate-limit/backoff semantics guaranteed by the library, or you require strong, documented security controls for tool execution and data handling beyond basic client configuration.","alternatives":["OpenAI SDK + provider-specific SDKs","LangChain / LlamaIndex (frameworks with unified tool/agent abstractions)","LiteLLM (unified routing across LLM providers)","Direct provider SDKs with your own abstraction layer"],"af_score":60.2,"security_score":58.0,"reliability_score":30.0,"package_type":"skill","discovery_source":["openclaw"],"priority":"high","status":"evaluated","version_evaluated":null,"last_evaluated":"2026-03-29T13:20:26.124088+00:00","interface":{"has_rest_api":false,"has_graphql":false,"has_grpc":false,"has_mcp_server":false,"mcp_server_url":null,"has_sdk":true,"sdk_languages":["python"],"openapi_spec_url":null,"webhooks":false},"auth":{"methods":["Environment variables (e.g., OPENAI_API_KEY, ANTHROPIC_API_KEY)","Passing provider config to aisuite Client constructor"],"oauth":false,"scopes":false,"notes":"Authentication is delegated to underlying provider SDKs; the README indicates API keys via env vars or client constructor, but does not describe OAuth flows or fine-grained scopes at the aisuite layer."},"pricing":{"model":null,"free_tier_exists":false,"free_tier_limits":null,"paid_tiers":[],"requires_credit_card":false,"estimated_workload_costs":null,"notes":"Pricing for aisuite itself is not described in the provided content; costs depend on the selected underlying LLM providers."},"requirements":{"requires_signup":false,"requires_credit_card":false,"domain_verification":false,"data_residency":[],"compliance":[],"min_contract":null},"agent_readiness":{"af_score":60.2,"security_score":58.0,"reliability_score":30.0,"mcp_server_quality":55.0,"documentation_accuracy":70.0,"error_message_quality":0.0,"error_message_notes":null,"auth_complexity":85.0,"rate_limit_clarity":20.0,"tls_enforcement":90.0,"auth_strength":55.0,"scope_granularity":20.0,"dependency_hygiene":55.0,"secret_handling":70.0,"security_notes":"Security posture is only partially supported by the provided materials. TLS usage is assumed for provider SDKs but not explicitly stated. Authentication appears to rely on API keys provided via environment variables or constructor config (better than hardcoding, but no evidence of secret redaction/logging guarantees). MCP tool execution is supported, but the README excerpt only references 'security filters' in docs without showing concrete safeguards here. Scope granularity and authorization boundaries are not described at the aisuite layer.","uptime_documented":0.0,"version_stability":55.0,"breaking_changes_history":40.0,"error_recovery":25.0,"idempotency_support":"false","idempotency_notes":"No explicit idempotency guidance is provided for chat/tool execution; retries/backoff and safe replays are not described.","pagination_style":"none","retry_guidance_documented":false,"known_agent_gotchas":["Automatic tool execution uses max_turns; ensure you bound and validate tool side effects because the library handles the loop, not your application.","When using MCP tools, tool security filters/prefixing are mentioned as existing for documentation, but enforcement details are not shown in the provided README excerpt.","Provider selection uses a model string format like <provider>:<model-name>; incorrect formatting may lead to runtime failures."]}}