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This enables swapping LLM backends without changing bot logic, using a provider registry pattern that maps configuration to concrete implementations. The abstraction handles token counting, streaming, function calling, and error handling across heterogeneous providers.","intents":["I want to build an agent that can switch between GPT-4 and Claude without rewriting code","I need to support multiple LLM providers for cost optimization and redundancy","I want to use local Ollama models in development and cloud providers in production"],"best_for":["teams building multi-tenant LLM applications","developers prototyping with multiple model providers","enterprises requiring provider flexibility for compliance or cost"],"limitations":["Provider-specific features (vision, tool use variants) may not be fully normalized across all backends","Streaming response handling adds ~50-100ms latency due to abstraction layer","Custom provider implementations require extending the SDK base classes"],"requires":["TypeScript 4.8+","Node.js 18+","API keys for at least one LLM provider (OpenAI, Anthropic, etc.)","@botpress/sdk installed as peer dependency"],"input_types":["text prompts","structured messages with role/content","function/tool definitions in JSON schema format"],"output_types":["text completions","structured JSON responses","streaming token streams","function call invocations"],"categories":["tool-use-integration","llm-abstraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_1","uri":"capability://tool.use.integration.declarative.integration.framework.with.schema.based.configuration","name":"declarative integration framework with schema-based configuration","description":"Botpress provides an IntegrationDefinition class that allows developers to declare integrations (messaging platforms, CRMs, APIs) using a schema-based approach where configuration, actions, events, and channels are defined as TypeScript classes. The framework generates type-safe bindings and automatically handles serialization, validation, and runtime dispatch. Integrations are discovered and loaded via a plugin system that supports 50+ pre-built integrations (Slack, Discord, Telegram, Salesforce, etc.).","intents":["I want to connect my bot to Slack, Discord, and Teams without writing boilerplate","I need to build a custom integration to a proprietary API with type safety","I want to define what actions and events my integration exposes to bot logic"],"best_for":["teams building multi-channel bots","developers extending Botpress with custom integrations","organizations with proprietary messaging or CRM systems"],"limitations":["Integration discovery happens at startup; hot-reloading requires server restart","Schema validation adds ~20-50ms per integration call for complex schemas","Custom integrations must follow Botpress SDK patterns; no support for arbitrary HTTP clients"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk installed","Understanding of IntegrationDefinition and channel/action/event patterns"],"input_types":["TypeScript class definitions","JSON schema for configuration","event payloads from external platforms"],"output_types":["type-safe action handlers","event dispatch to bot logic","serialized messages to external platforms"],"categories":["tool-use-integration","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_10","uri":"capability://memory.knowledge.conversation.state.management.with.context.preservation","name":"conversation state management with context preservation","description":"Botpress bots maintain conversation state across multiple message exchanges using a context object that persists user metadata, conversation history, and custom variables. The context is passed through the event handler chain, allowing middleware and handlers to read and modify state. State can be stored in memory (for development) or external stores (Redis, PostgreSQL) for production. The SDK provides utilities for serializing/deserializing context and managing conversation lifecycle (start, end, timeout).","intents":["I want to remember user preferences across multiple messages","I need to track conversation history for multi-turn interactions","I want to implement conversation timeouts and cleanup"],"best_for":["multi-turn conversational bots","applications requiring user context preservation","teams building stateful workflows"],"limitations":["In-memory state is lost on server restart; requires external store for persistence","Context serialization adds ~20-50ms per message for large state objects","No built-in garbage collection; old conversations must be manually cleaned up"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk installed","External state store (Redis, PostgreSQL, etc.) for production"],"input_types":["user messages with metadata","custom state variables"],"output_types":["updated context object","persisted state in external store","conversation history"],"categories":["memory-knowledge","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_11","uri":"capability://tool.use.integration.function.calling.and.tool.use.with.schema.based.dispatch","name":"function calling and tool use with schema-based dispatch","description":"Botpress integrates function calling (tool use) by allowing bots to invoke integration actions through LLM-generated function calls. The SDK converts integration action definitions into JSON schemas that are passed to LLMs, enabling models to decide when and how to call actions. The framework handles schema validation, function dispatch, and result formatting. This enables agentic workflows where bots autonomously decide which integrations to invoke based on user intent.","intents":["I want my bot to autonomously decide whether to send a Slack message or create a Salesforce ticket","I need the LLM to call integration actions based on user requests","I want to implement agentic workflows with tool use"],"best_for":["developers building agentic bots with autonomous decision-making","teams implementing complex multi-step workflows","applications requiring tool use across multiple integrations"],"limitations":["LLM function calling is non-deterministic; models may hallucinate function names or parameters","Schema validation adds ~10-20ms per function call","Some LLMs have limited function calling support; fallback logic may be needed"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk installed","LLM provider with function calling support (OpenAI, Anthropic, etc.)"],"input_types":["user messages and intents","integration action schemas","LLM function call responses"],"output_types":["dispatched integration actions","function results formatted for LLM","agentic decision logs"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_12","uri":"capability://text.generation.language.message.formatting.and.channel.specific.rendering","name":"message formatting and channel-specific rendering","description":"Botpress provides channel-specific message rendering that adapts bot responses to platform capabilities. Bots define messages using a unified format (text, cards, buttons, etc.), and the SDK renders them appropriately for each channel (Slack formatting, Discord embeds, Telegram inline keyboards, etc.). The framework handles platform-specific limitations (character limits, supported media types) and provides fallbacks for unsupported features.","intents":["I want to send rich messages (cards, buttons) that look good on Slack, Discord, and Telegram","I need to handle platform-specific limitations (character limits, media types)","I want to define messages once and have them render correctly on all channels"],"best_for":["multi-channel bots requiring consistent UX across platforms","teams building rich interactive experiences","applications with complex message formatting requirements"],"limitations":["Platform-specific features may not have equivalents on all channels; fallbacks may be suboptimal","Message rendering adds ~20-50ms per message for complex formatting","Custom channel renderers require integration-specific implementation"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk installed","Understanding of platform-specific message formats (Slack blocks, Discord embeds, etc.)"],"input_types":["unified message format (text, cards, buttons)","platform-specific metadata"],"output_types":["platform-specific message payloads","rendered messages on each channel","fallback messages for unsupported features"],"categories":["text-generation-language","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_2","uri":"capability://automation.workflow.plugin.system.with.hitl.human.in.the.loop.orchestration","name":"plugin system with hitl (human-in-the-loop) orchestration","description":"Botpress implements a PluginDefinition class that enables extensible functionality through plugins, with a specialized HITL plugin that orchestrates human handoff workflows. Plugins hook into the bot lifecycle (message processing, event handling) and can intercept, modify, or escalate conversations to human agents. The HITL plugin provides conversation routing, agent assignment, and conversation history management through a standardized interface.","intents":["I want to escalate complex conversations to human agents automatically","I need to route conversations to specific teams based on intent or topic","I want to track and manage human-agent conversations within my bot platform"],"best_for":["customer support teams using bots with human fallback","enterprises requiring compliance-driven human review","teams building hybrid bot-human workflows"],"limitations":["HITL escalation adds ~100-200ms latency for routing and agent assignment","Conversation history requires external persistence (no built-in database)","Agent availability and assignment logic must be implemented via custom plugins"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk and HITL plugin installed","External state store for conversation history (Redis, PostgreSQL, etc.)"],"input_types":["bot messages and user intents","escalation triggers (keywords, confidence thresholds)","agent availability status"],"output_types":["routed conversations to agents","conversation metadata and history","escalation events and logs"],"categories":["automation-workflow","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_3","uri":"capability://automation.workflow.cli.driven.bot.and.integration.scaffolding.with.templates","name":"cli-driven bot and integration scaffolding with templates","description":"Botpress CLI (@botpress/cli) provides commands to scaffold new bots, integrations, and plugins from templates (empty-bot, hello-world, webhook-message, etc.). The CLI generates boilerplate TypeScript code with proper SDK imports, configuration, and build setup. It handles project initialization, dependency management via pnpm, and provides commands for local development (build, serve) and deployment to Botpress Cloud.","intents":["I want to create a new bot project with all boilerplate already set up","I need to scaffold a custom integration without writing from scratch","I want to deploy my bot to Botpress Cloud with a single command"],"best_for":["developers new to Botpress getting started quickly","teams standardizing on Botpress project structure","solo developers prototyping bots and integrations"],"limitations":["Templates are opinionated; customization requires manual editing after scaffolding","CLI commands are synchronous; large deployments may block for 30-60 seconds","Template updates don't automatically apply to existing projects"],"requires":["Node.js 18+","pnpm 8+ (or npm/yarn with compatibility layer)","@botpress/cli installed globally or via npx","Botpress Cloud account for deployment commands"],"input_types":["CLI arguments (project name, template type)","interactive prompts for configuration"],"output_types":["scaffolded TypeScript project structure","package.json with dependencies","build artifacts and deployment packages"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_4","uri":"capability://planning.reasoning.event.driven.bot.implementation.with.lifecycle.hooks","name":"event-driven bot implementation with lifecycle hooks","description":"Botpress SDK provides a BotImplementation class that allows developers to define bot logic as event handlers and lifecycle hooks (onMessage, onEvent, onInstall, etc.). Bots are implemented as HTTP servers (via botHandler) that receive events from integrations and dispatch them to handler functions. The architecture supports middleware-style composition where multiple handlers can process the same event sequentially.","intents":["I want to handle incoming messages and respond with LLM-generated text","I need to react to specific events (user joined, button clicked) with custom logic","I want to initialize bot state when it's installed in a new workspace"],"best_for":["developers building conversational bots with event-driven logic","teams implementing complex multi-step workflows","builders needing lifecycle management (install, uninstall, update)"],"limitations":["Event handlers are synchronous; long-running operations block message processing","No built-in request deduplication; duplicate events may trigger multiple handlers","Handler composition is sequential; parallel processing requires manual Promise.all()"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk installed","Understanding of async/await and event-driven architecture"],"input_types":["message events with user text and metadata","integration-specific events (reactions, file uploads, etc.)","lifecycle events (install, uninstall)"],"output_types":["text messages","structured payloads (cards, buttons)","integration-specific actions (reactions, file sends)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_5","uri":"capability://automation.workflow.monorepo.based.development.with.pnpm.workspaces.and.shared.packages","name":"monorepo-based development with pnpm workspaces and shared packages","description":"Botpress is organized as a pnpm monorepo with ~12 core packages, 50+ integrations, plugins, and example bots in a single repository. The monorepo structure enables shared dependencies, consistent versioning, and cross-package type checking. Developers can modify core SDK, integrations, and plugins simultaneously and test changes locally before publishing. The build system uses TypeScript compilation and bundling to generate distribution artifacts.","intents":["I want to contribute to Botpress core and test my changes against multiple integrations","I need to build a custom integration that depends on the latest SDK features","I want to understand how Botpress components interact by reading source code"],"best_for":["Botpress core contributors and maintainers","teams building custom integrations and plugins","developers wanting to fork and customize Botpress"],"limitations":["Monorepo setup requires pnpm; npm/yarn compatibility is limited","Large monorepo increases clone time and disk space (~2GB+)","Cross-package changes require rebuilding multiple packages; incremental builds add ~30-60 seconds"],"requires":["Node.js 18+","pnpm 8+","Git for cloning the repository","TypeScript 4.8+ for development"],"input_types":["source code changes across packages","integration/plugin implementations"],"output_types":["compiled JavaScript and type definitions","bundled distribution packages","published npm packages"],"categories":["automation-workflow","code-generation-editing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_6","uri":"capability://code.generation.editing.type.safe.action.and.event.definitions.with.schema.validation","name":"type-safe action and event definitions with schema validation","description":"Botpress integrations define actions (bot-initiated operations) and events (platform-initiated notifications) using TypeScript classes with schema validation. Actions are type-safe functions that integrations expose to bots; events are typed payloads that integrations emit when external platforms trigger them. The SDK generates runtime validators from TypeScript types, ensuring data integrity at integration boundaries. This enables IDE autocomplete and compile-time type checking for integration interactions.","intents":["I want to define what actions my Slack integration can perform (send message, add reaction)","I need to ensure that events from Discord are properly typed and validated","I want IDE autocomplete when calling integration actions from bot logic"],"best_for":["developers building type-safe integrations","teams requiring strict data validation at platform boundaries","projects where IDE support and compile-time checking are critical"],"limitations":["Schema validation adds ~10-20ms per action call for complex types","Runtime validators are generated from TypeScript types; circular references may cause issues","Custom validators require manual implementation; no built-in support for conditional schemas"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk installed","Understanding of TypeScript generics and decorators"],"input_types":["TypeScript class definitions with type annotations","JSON schema for runtime validation"],"output_types":["type-safe action handlers","validated event payloads","runtime error messages for validation failures"],"categories":["code-generation-editing","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_7","uri":"capability://memory.knowledge.knowledge.base.and.rag.integration.for.context.aware.agents","name":"knowledge base and rag integration for context-aware agents","description":"Botpress includes a knowledge synchronizer plugin that enables bots to retrieve relevant context from external knowledge bases (documents, FAQs, wikis) using semantic search. The plugin integrates with vector databases and embedding models to implement Retrieval-Augmented Generation (RAG), allowing bots to ground responses in factual information. Retrieved context is injected into LLM prompts, reducing hallucinations and improving answer accuracy.","intents":["I want my bot to answer questions by retrieving relevant documentation","I need to keep bot responses grounded in company knowledge bases","I want to reduce hallucinations by providing LLM with factual context"],"best_for":["customer support bots answering FAQ-style questions","enterprise bots grounded in internal documentation","teams building knowledge-intensive assistants"],"limitations":["Semantic search adds ~200-500ms latency per query (embedding + retrieval)","Knowledge base synchronization is batch-based; real-time updates require manual refresh","Retrieval quality depends on embedding model and knowledge base structure; poor results if documents are poorly organized"],"requires":["TypeScript 4.8+","Node.js 18+","@botpress/sdk and knowledge plugin installed","Vector database (Pinecone, Weaviate, Milvus, etc.) or embedding service","Knowledge base documents in supported formats (PDF, Markdown, HTML)"],"input_types":["user queries (text)","knowledge base documents","embedding model configuration"],"output_types":["retrieved document chunks","relevance scores","augmented LLM prompts with context"],"categories":["memory-knowledge","search-retrieval"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_8","uri":"capability://automation.workflow.cloud.deployment.with.automatic.scaling.and.monitoring","name":"cloud deployment with automatic scaling and monitoring","description":"Botpress CLI includes a deploy command that packages bots and integrations and deploys them to Botpress Cloud, a managed hosting platform. The platform handles automatic scaling based on message volume, provides built-in monitoring and logging, and manages SSL certificates and domain configuration. Deployments are versioned, enabling rollback to previous versions. The platform integrates with Botpress integrations, automatically provisioning necessary credentials and webhooks.","intents":["I want to deploy my bot to production without managing servers","I need automatic scaling when message volume spikes","I want to monitor bot performance and errors in a dashboard"],"best_for":["teams without DevOps expertise","projects requiring quick time-to-market","organizations preferring managed hosting over self-hosted infrastructure"],"limitations":["Botpress Cloud pricing is usage-based; high-volume bots may be expensive","Vendor lock-in; migrating away from Botpress Cloud requires re-hosting infrastructure","Deployment latency is ~2-5 minutes per deploy; no instant hot-reload"],"requires":["Botpress Cloud account with active subscription","API key for authentication","@botpress/cli installed","Bot/integration code compatible with Botpress SDK"],"input_types":["compiled bot/integration code","configuration (environment variables, secrets)"],"output_types":["deployed bot accessible via public URL","monitoring dashboard with metrics and logs","deployment history and rollback options"],"categories":["automation-workflow","deployment-infra"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"github-botpress--botpress__cap_9","uri":"capability://tool.use.integration.webhook.based.message.ingestion.from.external.platforms","name":"webhook-based message ingestion from external platforms","description":"Botpress integrations receive messages from external platforms (Slack, Discord, Telegram, etc.) via webhooks. The SDK provides a webhook template that handles incoming HTTP POST requests, validates signatures, and dispatches events to bot handlers. Integrations define channel configurations that specify webhook URLs and authentication methods. The architecture supports both synchronous responses (immediate replies) and asynchronous processing (background jobs).","intents":["I want my bot to receive messages from Slack when users type in a channel","I need to validate webhook signatures to ensure requests are from trusted platforms","I want to handle high-volume message ingestion without dropping events"],"best_for":["multi-channel bots receiving messages from multiple platforms","teams building integrations with webhook-based platforms","applications requiring real-time message processing"],"limitations":["Webhook delivery is not guaranteed; platforms may retry failed requests, causing duplicate processing","Signature validation adds ~5-10ms per request","Synchronous response timeout is typically 3-5 seconds; long-running operations must be async"],"requires":["Public URL for webhook endpoint (HTTPS required)","Platform-specific webhook configuration (Slack app settings, Discord bot token, etc.)","Signature validation implementation for each platform"],"input_types":["HTTP POST requests with JSON payloads","platform-specific event schemas (Slack Events API, Discord interactions, etc.)"],"output_types":["dispatched events to bot handlers","HTTP 200 response to acknowledge receipt","asynchronous message responses"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":50,"verified":false,"data_access_risk":"high","permissions":["TypeScript 4.8+","Node.js 18+","API keys for at least one LLM provider (OpenAI, Anthropic, etc.)","@botpress/sdk installed as peer dependency","@botpress/sdk installed","Understanding of IntegrationDefinition and channel/action/event patterns","External state store (Redis, PostgreSQL, etc.) for production","LLM provider with function calling support (OpenAI, Anthropic, etc.)","Understanding of platform-specific message formats (Slack blocks, Discord embeds, etc.)","@botpress/sdk and HITL plugin installed"],"failure_modes":["Provider-specific features (vision, tool use variants) may not be fully normalized across all backends","Streaming response handling adds ~50-100ms latency due to abstraction layer","Custom provider implementations require extending the SDK base classes","Integration discovery happens at startup; hot-reloading requires server restart","Schema validation adds ~20-50ms per integration call for complex schemas","Custom integrations must follow Botpress SDK patterns; no support for arbitrary HTTP clients","In-memory state is lost on server restart; requires external store for persistence","Context serialization adds ~20-50ms per message for large state objects","No built-in garbage collection; old conversations must be manually cleaned up","LLM function calling is non-deterministic; models may hallucinate function names or parameters","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.7143569893718384,"quality":0.35,"ecosystem":0.7000000000000001,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.3,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:21.549Z","last_scraped_at":"2026-05-03T13:58:24.502Z","last_commit":"2026-05-02T16:48:45Z"},"community":{"stars":14666,"forks":2253,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=botpress--botpress","compare_url":"https://unfragile.ai/compare?artifact=botpress--botpress"}},"signature":"rnw0SzgP1mfiE1xn54qFbW1hPAraSVW0npbbPVEqdcYP6BnYiNyAIOW8rvJB+POSgt6t6yhioPZ8+Vwr7M2RBw==","signedAt":"2026-06-21T00:12:29.025Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/botpress--botpress","artifact":"https://unfragile.ai/botpress--botpress","verify":"https://unfragile.ai/api/v1/verify?slug=botpress--botpress","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}