@polyweave/openai (1.0.10)

Published 2026-07-11 15:28:37 +00:00 by Dvorak

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@polyweave/openai

OpenAI adapter for Polyweave — wraps the official OpenAI SDK to provide a Frame-duplex stream interface. Supports chat completions (text, vision, audio I/O, tools, streaming, reasoning), TTS, transcription, translation, image generation/editing, embeddings, and realtime API.

Synopsis

import { createOpenAIAdapter } from '@polyweave/openai';
import { createTextFrame, createParamFrame } from '@polyweave/core';

const adapter = createOpenAIAdapter({ apiKey: process.env.OPENAI_API_KEY });

// Chat with streaming and tools
adapter.sink.write(createParamFrame('model', 'gpt-4o'));
adapter.sink.write(createParamFrame('tools', [{ type: 'function', function: { name: 'get_weather', parameters: { type: 'object', properties: { city: { type: 'string' } } } } }]));
adapter.sink.write(createTextFrame("What's the weather in Tokyo?"));

// Image generation
adapter.sink.write(createParamFrame('task', 'generation'));
adapter.sink.write({ type: 'IMAGE', content: { prompt: 'A sunset over a cyberpunk city', size: '1024x1024' } });

// TTS
adapter.sink.write(createParamFrame('task', 'tts'));
adapter.sink.write(createParamFrame('voice', 'alloy'));
adapter.sink.write({ type: 'AUDIO', content: { text: 'Hello, world!' } });

// Speech transcription
adapter.sink.write(createParamFrame('task', 'transcription'));
adapter.sink.write({ type: 'AUDIO', content: { data: audioBuffer, mimeType: 'audio/mp3' } });

// Embeddings
adapter.sink.write(createParamFrame('task', 'embeddings'));
adapter.sink.write({ type: 'EMBEDDING', content: { text: 'Text to embed' } });

// Cost estimation (no API call)
adapter.sink.write({ type: 'COST_CHECK', content: { maxBudget: 0.05 } });
adapter.sink.write(createTextFrame('Estimate this'));

// Realtime API (model is auto-detected)
adapter.sink.write(createParamFrame('model', 'gpt-realtime'));
adapter.sink.write({ type: 'TEXT', content: { text: 'Hello' } });

// Runtime configuration via PARAM
adapter.sink.write(createParamFrame('apiKey', 'new-key'));
adapter.sink.write(createParamFrame('organization', 'org-xxx'));
adapter.sink.write(createParamFrame('baseURL', 'https://custom-proxy.com/v1'));

Install

npm install @polyweave/openai

Requires openai (>= 6.15.0) package.

Why

OpenAI's ecosystem spans chat, images, audio (TTS + transcription + translation), embeddings, and realtime — each with distinct SDK client patterns. Polyweave harnesses need a unified Frame-duplex interface that wraps the official SDK so all capabilities work through the same PARAM-accumulation, COST_CHECK, topology-scan, and test-injection protocol. This adapter maps OpenAI SDK errors to structured Polyweave error codes, extracts rate-limit headers into normalized metadata, and supports progressive receipts during SSE streaming for real-time budget tracking.

API

`createOpenAIAdapter(config)`

Creates an IFrameDuplex stream adapter wrapping the OpenAI SDK.

Parameters:

Name	Type	Required	Default	Description
`config.apiKey`	`string`	No	`process.env.OPENAI_API_KEY`	OpenAI API key
`config.organization`	`string`	No	—	OpenAI organization ID (sent as `OpenAI-Organization` header)
`config.project`	`string`	No	—	OpenAI project ID (sent as `OpenAI-Project` header)
`config.baseURL`	`string`	No	`'https://api.openai.com'`	Custom base URL for proxies or compatible APIs
`config.timeout`	`number`	No	`60000`	Request timeout in milliseconds
`config.maxRetries`	`number`	No	`2`	Max retry count for SDK
`config.httpAgent`	`object`	No	—	Custom HTTP agent
`config.fetch`	`function`	No	—	Custom fetch implementation
`config.dangerouslyAllowBrowser`	`boolean`	No	`false`	Allow SDK usage in browser (should stay false for Node.js)

Return value: IFrameDuplex with .source, .sink, .setReady, .resetConversation, ._conversation, .name.

Default Parameters

The adapter initializes with these defaults (all overridable via PARAM frames):

Parameter	Default	Category
`model`	`'gpt-3.5-turbo'`	Chat
`stream`	`true`	Chat
`voice`	`'alloy'`	Audio
`n`	`1`	Images
`receipt_mode`	`'final'`	Cost
`receipt_interval`	`50`	Cost

Frame Protocol

Input frames:

Frame Type	Handler	Purpose
`TEXT`	`handleChatCompletion`	Chat prompt (also vision, audio I/O, tools, reasoning)
`TEXT` (task=`embeddings`)	`handleEmbeddings`	Embedding request
`AUDIO`	`handleAudio`	TTS, transcription, translation, diarization, custom voice
`IMAGE`	`handleImages`	Image generation, editing, variations
`EMBEDDING`	`handleEmbeddings`	Direct embedding request
`TOOL_RESULT`	—	Tool call result (accumulated into conversation)
`PARAM`	—	Configuration accumulation
`COST_CHECK`	—	Enable dry-run cost estimation mode
`ESTIMATED_TEXT`	—	Virtual text for cost estimation
`ESTIMATED_IMAGE`	—	Virtual image for cost estimation (`{ prompt, width, height, quality }`)
`ESTIMATED_AUDIO`	—	Virtual audio for cost estimation
`ESTIMATED_VIDEO`	—	Virtual video for cost estimation (`{ duration, size }`)
`ESTIMATED_OUTPUT`	—	Estimated output metadata buffer (not a trigger)
`START` / `END`	—	Request scope markers (pass-through)
`TOPOLOGY_SCAN`	—	Triggers topology report
`TEST_INJECT`	—	Re-injects child frames
`TEST_SNAPSHOT`	—	Returns snapshot

Output frames:

Frame Type	Emitted when
`TEXT`	Chat response chunks/full, embedding results (with `embedding` field)
`TOOL_CALL`	Function calling responses
`AUDIO`	TTS audio buffer
`IMAGE`	Generated/edited image URLs
`EMBEDDING`	Embedding vectors
`RECEIPT`	Cost receipt (final or progressive)
`COST`	Cost check estimate
`ERROR`	Error conditions
`END`	End of response
`META`	Unknown frame type pass-through

PARAM Keys (complete)

Chat: model, temperature, max_tokens, stream, messages, system, tools, tool_choice, response_format, logprobs, top_logprobs

Audio: voice (default 'alloy'), speed, language

Images: size, quality, style, n

Embeddings: dimensions, encoding_format

Task routing: task — 'tts'/'speech', 'transcription', 'translation', 'image'/'generation'/'edit'/'variation', 'embeddings'/'embedding', default: chat

Cost/receipt: receipt_mode ('none' | 'final' | 'progressive'), receipt_interval (tokens)

Auth: apiKey, organization, baseURL — special-cased to update client config

Task Routing

task	Frame Type	Handler
(default)	`TEXT`	`handleChatCompletion`
`embeddings` / `embedding`	`TEXT`	`handleEmbeddings`
`tts` / `speech`	`AUDIO`	`handleAudio` (TTS branch)
`transcription`	`AUDIO`	`handleAudio` (transcription branch)
`translation`	`AUDIO`	`handleAudio` (translation branch)
(default)	`AUDIO`	`handleAudio` (auto-detect)
`generation` / `edit` / `variation`	`IMAGE`	`handleImages`
(default)	`IMAGE`	`handleImages` (auto-detect)
—	`EMBEDDING`	`handleEmbeddings`

Realtime API

When params.model is a realtime model (detected by isRealtimeModel()), TEXT and AUDIO frames are routed through a WebSocket session via createRealtimeSession. Sessions are per-streamId and maintained in duplex._realtimeSessions Map. This is transparent to the caller — just set model to a realtime model and send frames as normal.

Costs (inline)

The adapter maintains pricing data in src/costs.js for token-based (mtoks), per-image, per-minute (whisper), per-million (TTS), and per-second (Sora) pricing. Exported functions:

getModelCost(model) → cost object or null
calculateTokenCost(model, inputTokens, outputTokens) → { inputCost, outputCost, totalCost }

Cost configs use:

mtoksInput / mtoksOutput — USD per million tokens
perImage — USD per image
perMinute — USD per minute (whisper)
perMillion — USD per million characters (TTS)
perSecond — USD per second (Sora)

Cost Estimation Protocol

Send COST_CHECK frame → enters dry-run mode, clears buffer
Send content frames (including ESTIMATED_* variants)
ESTIMATED_OUTPUT buffers metadata but doesn't trigger estimation
Any other content frame triggers cost estimation via @polyweave/costs
If maxBudget is set and exceeded → emits ERROR (BUDGET_EXCEEDED) + END
Otherwise → emits COST frame with estimate details + END
Exits cost check mode

Request type is determined by determineRequestType():

EMBEDDING frame → 'embedding'
TEXT with task=embeddings → 'embedding'
IMAGE/ESTIMATED_IMAGE → 'image'
AUDIO/ESTIMATED_AUDIO with task=tts → 'tts', with task=transcription → 'transcription', default → 'audio'
ESTIMATED_VIDEO → 'video'
Default → 'chat'

Estimation frames (ESTIMATED_TEXT, ESTIMATED_IMAGE, ESTIMATED_AUDIO, ESTIMATED_VIDEO, ESTIMATED_OUTPUT) are ignored when not in cost check mode.

Error Conditions

All errors are emitted as ERROR frames followed by END with metadata: { error: true, errorCode }. Errors from handleChatCompletion and other handlers pass through a done callback; uncaught exceptions in duplex.sink.write are caught in a try/catch.

Condition	Error Code	When
`OpenAI.AuthenticationError`	`AUTHENTICATION_ERROR`	Invalid API key
`OpenAI.PermissionDeniedError`	`AUTHORIZATION_ERROR`	Insufficient permissions
`OpenAI.RateLimitError`	`RATE_LIMIT_EXCEEDED`	Rate limit hit
`OpenAI.APIConnectionError`	`PROTOCOL_ERROR`	Network connection failure
`OpenAI.APIConnectionTimeoutError`	`QUEUE_TIMEOUT`	Request timeout
`OpenAI.NotFoundError`	`JOB_NOT_FOUND`	Resource not found
`OpenAI.UnprocessableEntityError`	`INVALID_INPUT`	Invalid request parameters
`OpenAI.InternalServerError`	`PROVIDER_ERROR`	OpenAI internal error
`OpenAI.APIError` (status 400)	`INVALID_INPUT`	Bad request
`OpenAI.APIError` (status 401)	`AUTHENTICATION_ERROR`	Unauthorized
`OpenAI.APIError` (status 403)	`AUTHORIZATION_ERROR`	Forbidden
`OpenAI.APIError` (status 404)	`JOB_NOT_FOUND`	Not found
`OpenAI.APIError` (status 408)	`QUEUE_TIMEOUT`	Request timeout
`OpenAI.APIError` (status 429)	`RATE_LIMIT_EXCEEDED`	Rate limited
`OpenAI.APIError` (status 500)	`PROVIDER_ERROR`	Server error
`OpenAI.APIError` (status 503)	`SERVICE_UNAVAILABLE`	Service unavailable
`OpenAI.APIError` (other)	`PROVIDER_ERROR`	Other API error
Unknown error type	`ADAPTER_ERROR`	Non-OpenAI error
Budget exceeded (COST_CHECK)	`BUDGET_EXCEEDED`	Estimate > `maxBudget`

Error Mapper Details (`src/utils/errorMapper.js`)

mapOpenAIErrorCode(error) // OpenAI.Error → ErrorCode string
mapOpenAIError(error, originalFrame) // OpenAI.Error → ERROR frame
isRetryableError(error) // boolean — true for 5xx, 429, 408, connection errors

The mapOpenAIError function extracts:

Rate limit headers from error.headers: x-ratelimit-limit-requests, x-ratelimit-limit-tokens, x-ratelimit-remaining-requests, x-ratelimit-remaining-tokens, x-ratelimit-reset-requests, x-ratelimit-reset-tokens
These are normalized via normalizeRateLimit from @polyweave/errors
Provider error details stored in metadata as providerError

Retryable errors: InternalServerError, RateLimitError, APIConnectionError, APIConnectionTimeoutError, and any APIError with status >= 500, 429, or 408.

Conversation Management

Incoming TEXT frames push { role: 'user', content: frame.content.text } to internal conversation array
TOOL_RESULT frames push { role: 'tool', tool_call_id, content } (serialized to string if not string)
duplex.resetConversation() clears the array
duplex._conversation() returns a snapshot

Re-exports

The adapter re-exports getModelCost and calculateTokenCost from src/costs.js (not from @polyweave/costs — OpenAI maintains its own pricing data).

Tests

npm test

Runs node --test test/openai-error-mapper.test.js test/openai.test.js test/rigor.test.js. Covers:

createOpenAIAdapter construction and default configuration
Cost check protocol (COST_CHECK entry/exit, budget exceeded, estimate emission)
PARAM accumulation (model, temperature, max_tokens, stream)
isEstimationFrame classification
determineRequestType routing for all frame types
mapOpenAIErrorCode error mapping for all OpenAI error types
isRetryableError classification
getModelCost pricing table correctness
calculateTokenCost monotonicity and arithmetic
Adapter topology report structure
Budget exceeded in COST_CHECK mode with all ESTIMATED_* frame types

Requirements

Node.js >= 22.0.0
ESM only ("type": "module")
openai >= 6.15.0 (runtime dependency)
Peer dependencies: @polyweave/core, @polyweave/errors, @polyweave/costs, @polyweave/push-websocket

Dependencies

ID	Version
openai	^6.15.0

Development Dependencies

ID	Version
@rigor/core	*

Peer Dependencies

ID	Version
@polyweave/core	*
@polyweave/costs	*
@polyweave/errors	*
@polyweave/push-websocket	*

polyweave openai gpt ai adapter

Details

npm

2026-07-11 15:28:37 +00:00

454

John Dvorak

SEE LICENSE IN LICENSE

latest

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Versions (3) View all

1.0.10

2026-07-11

1.0.7

2026-07-11

1.0.6

2026-07-10

@polyweave/openai (1.0.10)

Installation

About this package

@polyweave/openai

Synopsis

Install

Why

API

`createOpenAIAdapter(config)`

Default Parameters

Frame Protocol

PARAM Keys (complete)

Task Routing

Realtime API

Costs (inline)

Cost Estimation Protocol

Error Conditions

Error Mapper Details (`src/utils/errorMapper.js`)

Conversation Management

Re-exports

Tests

Requirements

Dependencies

Keywords

@polyweave/openai (1.0.10)

Installation

About this package

@polyweave/openai

Synopsis

Install

Why

API

createOpenAIAdapter(config)

Default Parameters

Frame Protocol

PARAM Keys (complete)

Task Routing

Realtime API

Costs (inline)

Cost Estimation Protocol

Error Conditions

Error Mapper Details (src/utils/errorMapper.js)

Conversation Management

Re-exports

Tests

Requirements

Dependencies

Keywords

`createOpenAIAdapter(config)`

Error Mapper Details (`src/utils/errorMapper.js`)