aid: langbase url: https://raw.githubusercontent.com/api-evangelist/langbase/refs/heads/main/apis.yml name: Langbase kind: company description: Langbase is a serverless AI developer platform for building, deploying, and scaling AI agents and applications. Its composable primitives - Pipes (agents), Memory (managed RAG), Threads, Agent (one API over 100+ LLMs), Tools, Parser, Chunker, and Embed - are exposed through a single Bearer-authenticated REST API at api.langbase.com, with Server-Sent Events (SSE) streaming for generative endpoints. image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg tags: - AI - Agents - RAG - LLM - Serverless created: '2026-07-01' modified: '2026-07-01' specificationVersion: '0.19' apis: - aid: langbase:langbase-pipes-api name: Langbase Pipes API tags: - Pipes - Agents - Completions image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/pipe baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/pipe type: Documentation - url: https://langbase.com/docs/api-reference/pipe type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Run, create, update, and list Pipes - composable, deployable AI agents with a system prompt, model, tools, variables, and memory. POST /v1/pipes/run executes a Pipe over a message array and streams token deltas as Server-Sent Events when stream is true. - aid: langbase:langbase-agent-api name: Langbase Agent API tags: - Agent - LLM - Multi-Provider image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/agent baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/agent type: Documentation - url: https://langbase.com/docs/api-reference/agent type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: A single liquid AI mesh endpoint (POST /v1/agent/run) that runs a prompt against 100+ LLMs from all top providers using a provider:model_id string, with tools, generation controls, and SSE streaming. Bring-your-own LLM keys are supported via the LB-LLM-Key header. - aid: langbase:langbase-memory-api name: Langbase Memory API tags: - Memory - RAG - Vector Store image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/memory baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/memory type: Documentation - url: https://langbase.com/docs/api-reference/memory type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Managed, serverless RAG. Create and list memory stores, upload and manage documents, and retrieve semantically similar chunks (POST /v1/memory/retrieve) with a topK control and metadata filters, without running your own vector database or embedding pipeline. - aid: langbase:langbase-threads-api name: Langbase Threads API tags: - Threads - Conversation - State image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/threads baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/threads type: Documentation - url: https://langbase.com/docs/api-reference/threads type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Persist and manage conversation state. Create, get, update, and delete threads, and append or list messages, so multi-turn agent conversations keep their history server-side and can be resumed via a thread identifier. - aid: langbase:langbase-tools-api name: Langbase Tools API tags: - Tools - Web Search - Crawl image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/tools baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/tools type: Documentation - url: https://langbase.com/docs/api-reference/tools type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Managed agent tools. POST /v1/tools/web-search runs a live web search (via providers such as Exa) returning URLs and extracted content, and POST /v1/tools/crawl fetches and extracts content from one or more web pages for agents to ground on. - aid: langbase:langbase-parser-api name: Langbase Parser API tags: - Parser - Documents - Extraction image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/parser baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/parser type: Documentation - url: https://langbase.com/docs/api-reference/parser type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Extract clean text from uploaded documents (PDF, CSV, XLSX, XLS, and more, up to 10 MB) via a multipart POST /v1/parser, as the ingestion front door for RAG and content pipelines. - aid: langbase:langbase-chunker-api name: Langbase Chunker API tags: - Chunker - RAG - Preprocessing image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/chunker baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/chunker type: Documentation - url: https://langbase.com/docs/api-reference/chunker type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Split large text into overlapping, retrieval-ready chunks (POST /v1/chunker) with configurable chunkMaxLength and chunkOverlap, for building RAG and search indexes. - aid: langbase:langbase-embed-api name: Langbase Embed API tags: - Embeddings - Vectors - RAG image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/api-reference/embed baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/embed type: Documentation - url: https://langbase.com/docs/api-reference/embed type: APIReference - url: openapi/langbase-openapi.yml type: OpenAPI description: Generate embedding vectors for up to 100 text chunks per request (POST /v1/embed) using OpenAI, Cohere, or Google embedding models, defaulting to openai:text-embedding-3-large. - aid: langbase:langbase-workflows-api name: Langbase Workflows API tags: - Workflows - Orchestration - Agents image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg humanURL: https://langbase.com/docs/workflows baseURL: https://api.langbase.com/v1 properties: - url: https://langbase.com/docs/workflows type: Documentation - url: openapi/langbase-openapi.yml type: OpenAPI description: Durable, step-based orchestration for composing agents, memory, and tools into multi-step AI workflows with retries and timeouts. Workflows compose the underlying Agent, Pipes, Memory, and Tools API calls into a single reliable execution. common: - type: GitHubOrganization url: https://github.com/LangbaseInc - type: LinkedIn url: https://www.linkedin.com/company/langbase - type: Website url: https://langbase.com/ - type: Documentation url: https://langbase.com/docs - type: Plans url: plans/langbase-plans-pricing.yml - type: RateLimits url: rate-limits/langbase-rate-limits.yml - type: FinOps url: finops/langbase-finops.yml maintainers: - FN: Kin Lane email: kin@apievangelist.com