Portkey vs LangChain

Portkey

LangChain

Portkey · 18 features

• AI Gateway — Unified OpenAI-compatible API to 250+ LLMs.
• Alerts — Thresholds on latency, error rate, cost, usage.
• Budget Controls — Per-key + per-team spending limits.
• Evaluations — Built-in evaluator templates + custom.
• Fallbacks — Config-driven provider fallback chains.
• Guardrails — Pre/post processors for safety + compliance.
• Load Balancing — Round-robin, weighted, least-latency across providers.
• MCP Support — Use MCP servers as tools through gateway.
• Observability — Logs, traces, feedback, alerts, cost tracking.
• OSS Gateway — Open-source gateway (portkey-ai/gateway).
• Prompt Library — Shared prompt library + public marketplace.
• Prompt Templates — Version + test + collaborate on prompts.
• Retries — Configurable retry policies per route.
• Role-Based Access Control — Team permissions on prompts + keys.
• Semantic Caching — Vector-based cache on query meaning.
• Simple Caching — Exact-match cache.
• Virtual Keys — Per-app keys with budget + rate limits + permissions.
• VPC Deployment (Ent) — Deploy in your own VPC for compliance.

LangChain · 18 features

• Agents — Tool-using agents with reasoning loops.
• Chains (LCEL) — LangChain Expression Language — pipe primitives into chains.
• Checkpointers (LangGraph) — Persist agent state to SQL, Mongo, Redis, Postgres.
• Document Loaders — 150+ loaders for PDF, HTML, Notion, Google Drive, S3, GitHub, etc.
• Human-in-the-loop — Pause agent for approval, then resume.
• LangGraph — Stateful graph-based agent runtime. Durable, replayable, human-in-the-loop.
• LangGraph Platform — Managed hosting for LangGraph agents with state persistence.
• LangGraph Studio — Desktop IDE for debugging agent graphs.
• LangServe — Deploy chains as FastAPI endpoints.
• Memory — Buffer, summary, entity, vector memory stores.
• Output Parsers — Structured JSON, Pydantic schemas, function calling.
• Prompt Templates — Templating + partial filling + output parsers.
• RAG (Retrieval-Augmented Generation) — Standard patterns + 50+ retrievers.
• Streaming — First-class streaming at every layer.
• Subgraphs — Compose agent graphs hierarchically.
• Text Splitters — Recursive, token, semantic splitters for chunking.
• Tools — 400+ pre-built tools (web search, code, databases, APIs).
• Vector Store Integrations — 60+ vector DBs (Pinecone, Chroma, Weaviate, PGVector, Qdrant, Milvus).