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OpenAI adapter for Zhivex AI SDK.","maintainers":[{"name":"mortiz.zhivex","email":"mortiz@zhivex.com"}],"readme":"# @zhivex-ai/azure-openai\n\nAzure OpenAI adapter for Zhivex AI SDK.\n\n## Install\n\n```bash\nbun add @zhivex-ai/core @zhivex-ai/azure-openai\n```\n\n## Audio response limits\n\nAzure transcription and speech responses are bounded before JSON parsing or binary buffering. Configure application-specific limits through `createAzureOpenAI({ responseLimits })`; defaults are 16 MiB for speech, 4 MiB for transcription JSON, and 64 KiB for error bodies.\n\nAuthenticated Azure OpenAI requests reject redirects so a `307` or `308` cannot replay the `api-key` header or request body to another origin. The adapter's explicit `rawFetch` escape hatch remains uncredentialed.\n\n```ts\nconst azure = createAzureOpenAI({\n  endpoint: process.env.AZURE_OPENAI_ENDPOINT,\n  responseLimits: {\n    speechBytes: 16 * 1024 * 1024,\n    transcriptionBytes: 1024 * 1024\n  }\n});\n```\n\n## Capability notes\n\nThe adapter exposes model-specific agent capabilities at runtime and validates hosted Responses tools before sending requests. Tools such as `tool_search`, `computer_use_preview`, shell, apply patch, and skills are therefore accepted only for model families the SDK marks as supported.\n\n```ts\nimport { createAzureOpenAI, azureOpenAIToolSearchTool } from \"@zhivex-ai/azure-openai\";\nimport { generateText, getAgentCapabilities } from \"@zhivex-ai/core\";\n\nconst azure = createAzureOpenAI({\n  apiKey: process.env.AZURE_OPENAI_API_KEY,\n  endpoint: process.env.AZURE_OPENAI_ENDPOINT\n});\n\nconsole.log(getAgentCapabilities(azure(\"gpt-5.4\")).toolSearch);\nconsole.log(getAgentCapabilities(azure(\"gpt-5.4-nano\")).toolSearch);\n\nawait generateText({\n  model: azure(\"gpt-5.4\"),\n  prompt: \"Inspect the available project tools.\",\n  tools: {\n    search: azureOpenAIToolSearchTool()\n  }\n});\n```\n\nRepository and full documentation:\n\n- <https://github.com/Zhivex/zhivex-ai-sdk>\n\n## GPT-6 Astra and Responses deployments\n\n`azure(\"gpt-6-astra\")` selects Responses by default for generation, structured output, callable tools, and streaming. For an opaque deployment name, select `providerOptions: { apiMode: \"responses\" }` explicitly; model-specific capability validation can only recognize the model ID supplied to the factory. Responses uses native `reasoning.effort` and flat named-function tool choices. Astra rejects unsupported reasoning efforts, temperature, and `top_p` before fetch. Azure deployment availability, API versions, and quotas remain account-specific.\n\nSee [Microsoft's model contracts](https://learn.microsoft.com/en-us/azure/foundry/foundry-models/concepts/models-sold-directly-by-azure). Azure pricing is not copied from OpenAI's direct API.\n\n### Chat Completions streaming guarantees\n\nChat Completions streams assemble parallel tool calls by their stream index and\nemit validated calls after the terminal finish reason. The final `finish` event\nincludes usage even when Azure sends it in a separate trailing chunk. Streams\nthat end without a finish reason fail explicitly; length-limited or filtered\nresponses do not emit partial tool calls. Stopping stream iteration releases the\nresponse body.\n","readmeFilename":"README.md"}