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sap-cloud-sdk-ai

Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Claude, Gemini, Amazon Nova, and other foundation models via SAP BTP.

$ 설치

git clone https://github.com/secondsky/sap-skills /tmp/sap-skills && cp -r /tmp/sap-skills/plugins/sap-cloud-sdk-ai/skills/sap-cloud-sdk-ai ~/.claude/skills/sap-skills

// tip: Run this command in your terminal to install the skill


name: sap-cloud-sdk-ai description: | Integrates SAP Cloud SDK for AI into JavaScript/TypeScript and Java applications. Use when building applications with SAP AI Core, Generative AI Hub, or Orchestration Service. Covers chat completion, embedding, streaming, function calling, content filtering, data masking, document grounding, prompt registry, and LangChain/Spring AI integration. Supports OpenAI GPT-4o, Claude, Gemini, Amazon Nova, and other foundation models via SAP BTP. license: GPL-3.0 metadata: version: 2.0.0 last_verified: 2025-11-27

SAP Cloud SDK for AI

The official SDK for SAP AI Core, SAP Generative AI Hub, and Orchestration Service.

When to Use This Skill

Use this skill when:

  • Integrating AI/LLM capabilities into SAP BTP applications
  • Building chat completion or embedding features
  • Using GPT-4o, Claude, Gemini, or other models via SAP AI Core
  • Implementing content filtering, data masking, or document grounding
  • Creating agentic workflows with LangChain or Spring AI
  • Managing prompts via Prompt Registry
  • Deploying AI models on SAP AI Core

Table of Contents

Quick Start

Note: This skill uses SAP Cloud SDK for AI v2.2.0+. If you're migrating from v1.x, see V1 to V2 Migration Guide for breaking changes.

JavaScript/TypeScript

npm install @sap-ai-sdk/orchestration@^2
import { OrchestrationClient } from '@sap-ai-sdk/orchestration';

const client = new OrchestrationClient({
  promptTemplating: {
    model: { name: 'gpt-4o' },
    prompt: [{ role: 'user', content: '{{?question}}' }]
  }
});

const response = await client.chatCompletion({
  placeholderValues: { question: 'What is SAP?' }
});
console.log(response.getContent());

Java

<dependency>
  <groupId>com.sap.ai.sdk</groupId>
  <artifactId>orchestration</artifactId>
  <version>${ai-sdk.version}</version>
</dependency>
var client = new OrchestrationClient();
var config = new OrchestrationModuleConfig()
    .withLlmConfig(OrchestrationAiModel.GPT_4O);
var prompt = new OrchestrationPrompt("What is SAP?");
var result = client.chatCompletion(prompt, config);
System.out.println(result.getContent());

Prerequisites

  • Node.js 20+ (JavaScript) or Java 17+ (Java)
  • SAP AI Core service instance (extended or sap-internal plan)
  • Orchestration deployment in AI Core (default resource group has this)

Connection Setup

BTP Runtime (Cloud Foundry/Kyma)

Bind AI Core service instance to your application. SDK auto-detects via VCAP_SERVICES or mounted secrets.

Local Development

Set environment variable:

export AICORE_SERVICE_KEY='{"clientid":"...","clientsecret":"...","url":"...","serviceurls":{"AI_API_URL":"..."}}'

Or use CAP hybrid mode:

# JavaScript
cds bind -2 <AICORE_INSTANCE> && cds-tsx watch --profile hybrid

# Java
cds bind --to aicore --exec mvn spring-boot:run

For detailed connection options, see references/connecting-to-ai-core.md

Available Packages

JavaScript/TypeScript

PackagePurpose
@sap-ai-sdk/orchestrationChat completion, filtering, grounding
@sap-ai-sdk/foundation-modelsDirect model access (OpenAI)
@sap-ai-sdk/langchainLangChain integration
@sap-ai-sdk/ai-apiDeployments, artifacts, configurations
@sap-ai-sdk/document-groundingPipeline, Vector, Retrieval APIs
@sap-ai-sdk/prompt-registryPrompt template management

Java

ArtifactPurpose
orchestrationChat completion, filtering, grounding
openai (foundationmodels)Direct OpenAI model access
coreBase connectivity
document-groundingPipeline, Vector, Retrieval APIs
prompt-registryPrompt template management

Supported Models

Recommended

  • OpenAI: gpt-4o, gpt-4o-mini, o1, o3-mini
  • Anthropic (AWS): Claude 3.5 Sonnet, Claude 4
  • Amazon: Nova Pro, Nova Lite, Nova Micro
  • Google: Gemini 2.5 Flash, Gemini 2.0 Flash
  • Mistral: Medium, Large

Deprecated Models (Use Replacements)

DeprecatedUse Instead
text-embedding-ada-002text-embedding-3-small/large
gpt-35-turbo (all variants)gpt-4o-mini
gpt-4-32kgpt-4o
gpt-4 (base)gpt-4o or gpt-4.1
gemini-1.0-progemini-2.0-flash
gemini-1.5-pro/flashgemini-2.5-flash
mistralai--mixtral-8x7bmistralai--mistral-small-instruct

Core Features

Chat Completion with Streaming

// JavaScript
const stream = client.stream({
  placeholderValues: { question: 'Explain SAP CAP' }
});

for await (const chunk of stream.toContentStream()) {
  process.stdout.write(chunk);
}
// Java
client.streamChatCompletion(prompt, config)
    .forEach(chunk -> System.out.print(chunk.getDeltaContent()));

Function/Tool Calling

// JavaScript
const tools = [{
  type: 'function',
  function: {
    name: 'get_weather',
    parameters: { type: 'object', properties: { city: { type: 'string' } } }
  }
}];

const response = await client.chatCompletion({
  placeholderValues: { question: 'Weather in Berlin?' }
}, { tools });

const toolCalls = response.getToolCalls();

Content Filtering

// JavaScript
import { buildAzureContentSafetyFilter } from '@sap-ai-sdk/orchestration';

const client = new OrchestrationClient({
  promptTemplating: { model: { name: 'gpt-4o' } },
  filtering: {
    input: buildAzureContentSafetyFilter({ Hate: 'ALLOW_SAFE' }),
    output: buildAzureContentSafetyFilter({ Violence: 'ALLOW_SAFE' })
  }
});

Data Masking

// JavaScript
const client = new OrchestrationClient({
  promptTemplating: { model: { name: 'gpt-4o' } },
  masking: {
    masking_providers: [{
      type: 'sap_data_privacy_integration',
      method: 'anonymization',
      entities: [{ type: 'profile-email' }, { type: 'profile-person' }]
    }]
  }
});

Document Grounding

// JavaScript
const client = new OrchestrationClient({
  promptTemplating: { model: { name: 'gpt-4o' } },
  grounding: {
    grounding_input: ['{{?question}}'],
    grounding_output: ['{{?context}}'],
    data_repositories: [{ type: 'vector', id: 'my-repo-id' }]
  }
});

Response Helpers

JavaScript SDK provides helper methods:

const response = await client.chatCompletion({ placeholderValues });

response.getContent();          // Model output string
response.getTokenUsage();       // { prompt_tokens, completion_tokens, total_tokens }
response.getFinishReason();     // 'stop', 'length', 'tool_calls', etc.
response.getToolCalls();        // Array of function calls
response.getDeltaToolCalls();   // Partial tool calls (streaming)
response.getAllMessages();      // Full message history
response.getAssistantMessage(); // Assistant response only
response.getRefusal();          // Refusal message if blocked

Streaming response methods:

const stream = client.stream({ placeholderValues });
for await (const chunk of stream.toContentStream()) {
  process.stdout.write(chunk);
}
// After stream ends:
stream.getFinishReason();
stream.getTokenUsage();

Advanced Topics

For detailed guidance:

  • Orchestration features: references/orchestration-guide.md
  • Foundation models (direct OpenAI): references/foundation-models-guide.md
  • LangChain integration: references/langchain-guide.md
  • Spring AI integration: references/spring-ai-guide.md
  • AI Core management: references/ai-core-api-guide.md

Bundled Resources

Reference Documentation

  • references/foundation-models-guide.md - Foundation models and pricing
  • references/ai-core-api-guide.md - AI Core service API reference
  • references/orchestration-guide.md - Orchestration service guide
  • references/langchain-guide.md - LangChain.js integration
  • references/spring-ai-guide.md - Spring AI integration
  • references/agentic-workflows.md - Agentic workflow patterns
  • references/connecting-to-ai-core.md - Connection setup guide
  • references/error-handling.md - Error handling patterns
  • references/v1-to-v2-migration.md - V1 to V2 migration guide

Version Information

SDKCurrent VersionNode/Java Requirement
JavaScript2.2.0+Node.js 20+
Java1.13.0 (Core) / 1.12.0 (Latest orchestration)Java 17+ (21 LTS recommended)

Note: Generated model classes (in ...model packages) may change in minor releases but are safe to use.

Common Errors

ErrorCauseSolution
"Could not find service bindings for 'aicore'"Missing AI Core bindingBind AI Core service or set AICORE_SERVICE_KEY
"Orchestration deployment not found"No deployment in resource groupDeploy orchestration in AI Core or use different resource group
Content filter violationInput/output blockedAdjust filter thresholds or modify content
Token limit exceededResponse too longSet max_tokens parameter

Documentation Sources

Keep this skill updated using these sources: