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Uses environment variable-based API key injection (XAI_API_KEY) and lazy-loads model configurations at runtime.","intents":["I want to use xAI Grok models in my application without writing custom API client code","I need to switch between multiple LLM providers (OpenAI, xAI, Anthropic) with minimal code changes","I want type-safe model instantiation with IDE autocomplete for xAI-specific parameters"],"best_for":["Teams building multi-provider LLM applications","Developers migrating from other AI SDK providers to xAI","Applications requiring provider abstraction for cost optimization or fallback strategies"],"limitations":["Requires explicit XAI_API_KEY environment variable — no inline credential support","Model list is static at package release time — new xAI models require package updates","No built-in retry logic or circuit breaker — relies on upstream AI SDK error handling"],"requires":["Node.js 18+ or compatible JavaScript runtime","AI SDK core package (peer dependency)","Valid xAI API key from https://console.x.ai","@ai-sdk/xai npm package installed"],"input_types":["model identifier string (e.g., 'grok-beta')","configuration object with optional parameters (temperature, max_tokens, etc.)"],"output_types":["LanguageModel instance compatible with AI SDK interfaces","Configured model ready for generateText, streamText, or agentic workflows"],"categories":["tool-use-integration","provider-abstraction"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_1","uri":"capability://text.generation.language.streaming.text.generation.with.xai.grok.models","name":"streaming text generation with xai grok models","description":"Streams token-by-token responses from xAI Grok models using the AI SDK's streamText() function, which internally manages HTTP streaming, chunk parsing, and event emission. Implements server-sent events (SSE) protocol handling with automatic reconnection and partial token buffering. Supports both text-only and vision-capable models with streaming output that can be consumed in real-time by frontend clients or piped to downstream processors.","intents":["I want to stream Grok responses to users in real-time without waiting for full completion","I need to build a chat interface that displays tokens as they arrive from xAI","I want to process streaming output server-side for token counting, content filtering, or aggregation"],"best_for":["Chat applications and conversational interfaces","Real-time content generation (code, creative writing, analysis)","Token-level monitoring and cost tracking applications"],"limitations":["Streaming requires persistent HTTP connection — incompatible with stateless serverless functions without connection pooling","Token-level granularity means higher overhead for high-frequency token emission (>100 tokens/sec)","No built-in token aggregation — developers must implement batching if downstream processing is latency-sensitive"],"requires":["Node.js 18+ with native fetch API or polyfill","AI SDK streamText() function available","xAI API key with streaming permissions","HTTP/1.1 or HTTP/2 support in runtime environment"],"input_types":["prompt string or message array","model configuration with streaming-specific parameters (onChunk callback, maxTokens)"],"output_types":["AsyncIterable<TextStreamPart> emitting {type, text, delta} objects","Server-sent events stream consumable by frontend fetch API or EventSource"],"categories":["text-generation-language","streaming"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_2","uri":"capability://image.visual.vision.capable.model.support.with.multimodal.input.handling","name":"vision-capable model support with multimodal input handling","description":"Enables grok-vision-beta model to process images alongside text through the AI SDK's unified message format, which accepts image data as base64-encoded strings, URLs, or file paths. The provider automatically detects image content in messages and formats them according to xAI's vision API schema (image_url or base64 fields). Supports JPEG, PNG, WebP, and GIF formats with automatic MIME type detection and size validation before transmission.","intents":["I want to send images to Grok for analysis, captioning, or visual question-answering without manual encoding","I need to build a multi-turn conversation that includes both images and text","I want to process screenshots, diagrams, or charts through Grok's vision capabilities"],"best_for":["Document analysis and OCR applications","Visual question-answering systems","Screenshot-based debugging or code review tools","Accessibility tools that describe images to users"],"limitations":["Image size limits enforced by xAI API (typically 20MB max) — no automatic compression or resizing","Vision model inference is slower than text-only models (2-5x latency increase typical)","No built-in image preprocessing — developers must handle format conversion, rotation, or cropping externally","URL-based images require public accessibility — private/authenticated URLs not supported"],"requires":["grok-vision-beta model selected (not available in grok-beta text-only variant)","Images in JPEG, PNG, WebP, or GIF format","Base64 encoding library or file system access for local images","xAI API key with vision model permissions"],"input_types":["message array with image content blocks (base64, URL, or file path)","text prompts accompanying image data"],"output_types":["text analysis of image content","structured extraction from images (tables, forms, diagrams)","descriptive captions or alt-text"],"categories":["image-visual","text-generation-language"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_3","uri":"capability://text.generation.language.non.streaming.text.generation.with.structured.output.support","name":"non-streaming text generation with structured output support","description":"Generates complete text responses from xAI Grok models using the AI SDK's generateText() function, which batches the entire response before returning. Supports optional structured output mode where responses are constrained to match a JSON schema or TypeScript type definition, enabling reliable extraction of structured data (JSON objects, arrays, enums) from model outputs. Uses xAI's native structured output API when available, with fallback to post-processing validation if not supported.","intents":["I want to extract structured data (JSON, objects) from Grok responses with guaranteed schema compliance","I need to generate complete responses without streaming overhead for batch processing","I want to build data extraction pipelines that parse unstructured text into typed objects"],"best_for":["Batch data extraction and ETL pipelines","Form filling and structured data generation","API response generation with guaranteed schema compliance","Offline processing where streaming latency is not a concern"],"limitations":["Structured output mode may reduce model flexibility — complex reasoning tasks sometimes perform worse with strict schema constraints","No streaming means full response latency before any output is available (typical 2-10 second wait)","Schema validation adds latency — complex schemas may require multiple retries if model output doesn't match","Memory overhead for large responses — entire output buffered in memory before return"],"requires":["AI SDK generateText() function","Optional: Zod schema or TypeScript type for structured output mode","xAI API key with structured output permissions (if using native mode)"],"input_types":["prompt string or message array","optional schema definition (Zod, TypeScript type, or JSON schema)"],"output_types":["complete text response string","parsed and validated object matching provided schema","usage metadata (tokens, cost estimates)"],"categories":["text-generation-language","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_4","uri":"capability://tool.use.integration.function.calling.and.tool.use.orchestration","name":"function calling and tool use orchestration","description":"Enables xAI Grok models to call external functions and tools through the AI SDK's tool-calling abstraction, which defines tools as TypeScript functions with Zod schemas for parameter validation. The provider translates tool definitions into xAI's function-calling format, manages tool invocation requests from the model, and handles the request-response loop for multi-turn tool interactions. Supports both single-tool and multi-tool scenarios with automatic parameter marshaling and type validation.","intents":["I want Grok to call external APIs or functions based on user requests without manual prompt engineering","I need to build agents that can use tools like web search, calculators, or database queries","I want type-safe tool definitions with automatic parameter validation and IDE autocomplete"],"best_for":["Agentic AI systems and autonomous workflows","API integration layers where models decide which endpoints to call","Multi-step reasoning tasks requiring external data or computation","Teams building AI-powered automation platforms"],"limitations":["Tool calling adds latency — requires additional round-trip to model for each tool invocation decision","No built-in tool execution — developers must implement actual function logic and error handling","Tool definitions must be serializable to JSON schema — complex types (circular references, custom classes) not supported","Model may hallucinate tool calls or misuse tools — requires validation and error recovery logic"],"requires":["Zod library for schema definition (or compatible schema library)","Tool functions implemented as async JavaScript functions","AI SDK tool-calling support enabled in generateText/streamText","xAI API key with function-calling permissions"],"input_types":["tool definitions with name, description, and Zod schema","user prompts requesting tool-based actions","tool execution results for multi-turn interactions"],"output_types":["tool call requests with function name and parameters","final text response after tool execution","tool execution results and error messages"],"categories":["tool-use-integration","planning-reasoning"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_5","uri":"capability://text.generation.language.temperature.and.sampling.parameter.control","name":"temperature and sampling parameter control","description":"Exposes xAI Grok model sampling parameters (temperature, top_p, top_k, frequency_penalty, presence_penalty) through the AI SDK's model configuration interface, allowing fine-grained control over response randomness and diversity. Parameters are validated and normalized to xAI's API ranges before transmission. Supports both per-request overrides and model-level defaults, enabling different sampling strategies for different use cases (deterministic extraction vs. creative generation).","intents":["I want to make Grok responses more deterministic for data extraction tasks","I need to increase creativity and diversity for content generation","I want to control response variability across different parts of my application"],"best_for":["Applications requiring tunable response behavior","A/B testing different sampling strategies","Balancing between consistency (low temperature) and creativity (high temperature)"],"limitations":["Parameter effects are model-dependent — same temperature may produce different results across xAI model versions","No guidance on optimal values — requires empirical testing for specific use cases","Parameter combinations can conflict — high temperature with low top_p may produce unexpected behavior"],"requires":["Understanding of temperature and sampling parameters (0.0-2.0 range typical)","xAI API documentation for parameter-specific constraints"],"input_types":["temperature (0.0-2.0)","top_p (0.0-1.0)","top_k (integer)","frequency_penalty (-2.0 to 2.0)","presence_penalty (-2.0 to 2.0)"],"output_types":["model configuration with applied sampling parameters","responses with controlled randomness and diversity"],"categories":["text-generation-language","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_6","uri":"capability://data.processing.analysis.token.counting.and.usage.tracking","name":"token counting and usage tracking","description":"Tracks token consumption for xAI Grok API calls through the AI SDK's usage metadata system, which returns input_tokens, output_tokens, and total_tokens after each generation. Enables cost estimation and quota management by exposing token counts at the function level. Supports both streaming and non-streaming modes, with token counts available immediately after generation completion.","intents":["I want to track API costs and token usage across my application","I need to implement token-based rate limiting or quota enforcement","I want to monitor which features consume the most tokens for optimization"],"best_for":["Cost-conscious applications with token budgets","Multi-tenant systems requiring per-user token tracking","Applications optimizing for cost efficiency"],"limitations":["Token counts are approximate — actual billing may differ slightly due to tokenizer differences","No real-time token counting during streaming — counts only available after completion","Requires manual aggregation for multi-step workflows — no built-in pipeline-level tracking"],"requires":["AI SDK generateText or streamText function","Access to usage metadata in response object"],"input_types":["generation requests with any prompt/model configuration"],"output_types":["usage object with {inputTokens, outputTokens, totalTokens}","cost estimates based on xAI pricing"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"npm-ai-sdk-xai__cap_7","uri":"capability://automation.workflow.error.handling.and.retry.logic.integration","name":"error handling and retry logic integration","description":"Integrates xAI API errors into the AI SDK's error handling framework, which provides standardized error types (APIError, RateLimitError, AuthenticationError) and automatic retry logic with exponential backoff. Handles xAI-specific error codes (401 auth failures, 429 rate limits, 500 server errors) and maps them to AI SDK error types. Supports configurable retry policies (max attempts, backoff multiplier) at the model level.","intents":["I want automatic retry logic for transient xAI API failures","I need to distinguish between retryable errors (rate limits) and fatal errors (auth failures)","I want to implement circuit breaker patterns for xAI API degradation"],"best_for":["Production applications requiring resilience","High-volume applications prone to rate limiting","Systems with strict SLA requirements"],"limitations":["Retry logic adds latency — exponential backoff can delay responses by 10+ seconds on repeated failures","No circuit breaker built-in — requires external implementation for cascading failure prevention","Retry logic is transparent — difficult to debug or customize for specific error scenarios"],"requires":["AI SDK error handling enabled","Optional: custom retry configuration"],"input_types":["generation requests that may fail"],"output_types":["successful generation after retries, or final error after max attempts exhausted"],"categories":["automation-workflow","safety-moderation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":40,"verified":false,"data_access_risk":"high","permissions":["Node.js 18+ or compatible JavaScript runtime","AI SDK core package (peer dependency)","Valid xAI API key from https://console.x.ai","@ai-sdk/xai npm package installed","Node.js 18+ with native fetch API or polyfill","AI SDK streamText() function available","xAI API key with streaming permissions","HTTP/1.1 or HTTP/2 support in runtime environment","grok-vision-beta model selected (not available in grok-beta text-only variant)","Images in JPEG, PNG, WebP, or GIF format"],"failure_modes":["Requires explicit XAI_API_KEY environment variable — no inline credential support","Model list is static at package release time — new xAI models require package updates","No built-in retry logic or circuit breaker — relies on upstream AI SDK error handling","Streaming requires persistent HTTP connection — incompatible with stateless serverless functions without connection pooling","Token-level granularity means higher overhead for high-frequency token emission (>100 tokens/sec)","No built-in token aggregation — developers must implement batching if downstream processing is latency-sensitive","Image size limits enforced by xAI API (typically 20MB max) — no automatic compression or resizing","Vision model inference is slower than text-only models (2-5x latency increase typical)","No built-in image preprocessing — developers must handle format conversion, rotation, or cropping externally","URL-based images require public accessibility — private/authenticated URLs not supported","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.43817073396759804,"quality":0.41,"ecosystem":0.43,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.3,"quality":0.2,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:23.328Z","last_scraped_at":"2026-04-22T08:08:13.650Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":1204141,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=ai-sdk-xai","compare_url":"https://unfragile.ai/compare?artifact=ai-sdk-xai"}},"signature":"TvYdy53/X0M5z8L6ICpCInxrGCz0zSUn7+egWPk6uLIzLS/gEamdzJ92b9ZlEB0ECGJQU/75OUpL9TZIwPL1CA==","signedAt":"2026-06-22T09:55:40.168Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/ai-sdk-xai","artifact":"https://unfragile.ai/ai-sdk-xai","verify":"https://unfragile.ai/api/v1/verify?slug=ai-sdk-xai","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"}}