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Phase 9 — four parallel workstreams: - Stream A: 14 Docker entrypoints for containerized deployment - Stream B: Pipeline hardening — robust JSON parsing, LLM retry logic, consumer negative-ack, FalkorDB test import fix - Stream C: Azure OpenAI, OpenAI-compatible, and Mistral LLM providers - Stream D: Workbench Prompts, Token Cost, Knowledge Cores pages + Settings feature switches Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
18 lines
564 B
TypeScript
18 lines
564 B
TypeScript
/**
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* Start the Azure OpenAI text-completion service.
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*
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* Usage: AZURE_TOKEN=... AZURE_ENDPOINT=... pnpm tsx scripts/run-llm-azure-openai.ts
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*
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* Env:
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* NATS_URL (default: nats://localhost:4222)
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* AZURE_TOKEN (required)
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* AZURE_ENDPOINT (required)
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* AZURE_MODEL (default: gpt-4o)
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* AZURE_API_VERSION (default: 2024-12-01-preview)
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*/
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import { run } from "../packages/flow/src/model/text-completion/azure-openai.js";
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run().catch((err) => {
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console.error("Azure OpenAI LLM service failed:", err);
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process.exit(1);
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});
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