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AI Service","maintainers":[{"name":"michaelmyers","email":"mmm@xappmedia.com"},{"name":"xappbot","email":"robot@xappmedia.com"}],"readme":"## @xapp/stentor-service-generative-ai\n\nGenerative AI service for LLM-backed features: analyzing leads, inbound emails, chat transcripts, and websites, plus summarizing conversations. It defines a common `LLMService` interface with implementations for Anthropic's Claude API (`ClaudeService`), AWS Bedrock (`AWSBedrockService`), and OpenAI (`OpenAIService`), plus a `FallbackLLMService` that retries against a secondary provider when the primary returns a rate-limit/throttling error.\n\n### Usage\n\n```typescript\nimport { GenerativeAIService, ClaudeService } from \"@xapp/stentor-service-generative-ai\";\n\nconst llmService = new ClaudeService({\n    keyGetter: () => process.env.ANTHROPIC_API_KEY || \"\",\n    // Required. There is no default model: providers retire versions on a schedule and a\n    // hardcoded fallback outlives them silently.\n    model: \"claude-haiku-4-5-20251001\"\n});\n\nconst generativeAIService = new GenerativeAIService(llmService);\n\nconst leadAnalysis = await generativeAIService.analyzeLead(lead, {\n    businessDescription: \"A local plumbing company\"\n});\n```\n\n### Required Environment Variables\n\nNone are required. API keys and AWS credentials are passed to each `LLMService` constructor (`keyGetter` for `ClaudeService`/`OpenAIService`; optional `region`, defaulting to `us-east-1`, and `credentials` for `AWSBedrockService`, which otherwise uses the AWS SDK default credential chain), so the caller decides where they come from.\n\n- `STUDIO_APP_ID` - optional; when lead and transcript analysis render a chat transcript into the prompt, messages from this id (or `\"bot\"`) are labelled as the agent\n\n### Documentation\n- [Anthropic API Docs](https://docs.anthropic.com/)\n- [OpenAI API Docs](https://platform.openai.com/docs)\n- [AWS Bedrock Docs](https://docs.aws.amazon.com/bedrock/)\n","readmeFilename":"README.md"}