open_ai_gemini

A bidirectional translation layer between the OpenAI Chat Completions API and Google's Gemini API. Store all LLM conversations in one OpenAI-compliant format, regardless of the underlying provider.

Features

• Request conversion - ChatCompletionCreateRequest → Gemini GenerateContentRequest components
• Response conversion - Gemini GenerateContentResponse → OpenAI ChatCompletion
• Streaming - Gemini streaming chunks → OpenAI ChatStreamEvents
• Tool calling - Bidirectional tool definitions, tool calls, and tool results with automatic JSON Schema sanitization (anyOf/oneOf/allOf flattening)
• Thought signatures - Preserves Gemini 3+ cryptographic thought signatures across multi-turn tool-calling sequences
• Thinking/reasoning - Maps OpenAI reasoning_effort ↔ Gemini thinkingConfig.thinkingLevel and surfaces thinking tokens as reasoningContent
• Cross-provider interop - Maintain a single conversation history and freely switch between OpenAI and Gemini models mid-conversation

Installation

dependencies:
open_ai_gemini: ^0.1.0

Quick Start

Convert an OpenAI request to Gemini format

import'package:open_ai_gemini/open_ai_gemini.dart';
import'package:openai_dart/openai_dart.dart'as oai;
import'package:googleai_dart/googleai_dart.dart'as gai;
// Build your request in OpenAI format.final request = oai.ChatCompletionCreateRequest(
model:'gemini-3-flash-preview',
messages: [
oai.ChatMessage.system('You are a helpful assistant.'),
oai.ChatMessage.user('What is the capital of France?'),
],
tools: [
oai.Tool.function(
name:'lookup_capital',
description:'Look up the capital of a country.',
parameters: {
'type':'object',
'properties': {
'country': {'type':'string'},
},
'required': ['country'],
},
),
],
);
// Convert to Gemini format.final gemini =ChatCompletionRequestConverter.convert(request);
// Send to Gemini API.final response =await geminiClient.models.generateContent(
model:'gemini-3-flash-preview',
request: gai.GenerateContentRequest(
contents: gemini.contents,
systemInstruction: gemini.systemInstruction,
tools: gemini.tools,
toolConfig: gemini.toolConfig?.toJson(),
generationConfig: gemini.generationConfig,
),
);

Convert a Gemini response back to OpenAI format

final result =ChatCompletionResponseConverter.convert(
response,
model:'gemini-3-flash-preview',
);
// Standard OpenAI ChatCompletion object.final completion = result.completion;
print(completion.choices.first.message.content);
// Preserve thought signatures for the next turn (Gemini 3+).final thoughtSignatures = result.thoughtSignatures;

Thought signature round-tripping (Gemini 3+)

Gemini 3 attaches cryptographic thought signatures to function calls that must be returned in subsequent turns. This package handles this automatically:

// Accumulate signatures across turns.var signatures =<String, String>{};
// Turn 1: Get response with tool calls.final result1 =ChatCompletionResponseConverter.convert(response1, model: model);
signatures = {...signatures, ...result1.thoughtSignatures};
// Store the assistant message in your OpenAI-format history.
history.add(result1.completion.choices.first.message);
history.add(oai.ChatMessage.tool(toolCallId:'...', content:'...'));
// Turn 2: Pass signatures back when converting the next request.final gemini2 =ChatCompletionRequestConverter.convert(
nextRequest,
thoughtSignatures: signatures, // Re-injected into FunctionCallParts
);

Streaming

// Using the transformer class.final transformer =GeminiStreamEventTransformer(model:'gemini-3-flash-preview');
final openAIStream = geminiStream.transform(transformer);
awaitfor (final event in openAIStream) {
final delta = event.choices?.first.delta;
if (delta?.content !=null) print(delta!.content);
}
// Or using the convenience function (also captures thought signatures).final result =convertGeminiStream(geminiStream, model:'gemini-3-flash-preview');
awaitfor (final event in result.events) { /* ... */ }
final signatures =await result.thoughtSignatures;

Cross-provider conversations

The primary use case: store all conversations in OpenAI format and freely switch providers.

final history =<oai.ChatMessage>[
oai.ChatMessage.system('You are a geography expert.'),
];
// Turn 1: Use GPT.
history.add(oai.ChatMessage.user('What continent is France in?'));
final gptResponse =await openAIClient.chat.completions.create(
oai.ChatCompletionCreateRequest(model:'gpt-4.1-nano', messages: history),
);
history.add(gptResponse.choices.first.message);
// Turn 2: Switch to Gemini seamlessly.
history.add(oai.ChatMessage.user('And Japan?'));
final geminiReq =ChatCompletionRequestConverter.convert(
oai.ChatCompletionCreateRequest(model:'gemini-3-flash-preview', messages: history),
);
// ... send to Gemini, convert response, add to history.// Turn 3: Switch back to GPT - full context preserved.
history.add(oai.ChatMessage.user('Which did we discuss first?'));
final gptResponse2 =await openAIClient.chat.completions.create(
oai.ChatCompletionCreateRequest(model:'gpt-4.1-nano', messages: history),
);

API Reference

Converters

Class	Description
ChatCompletionRequestConverter	Converts ChatCompletionCreateRequest → Gemini request components
MessageContentConverter	Bidirectional message/content conversion
ChatCompletionResponseConverter	Converts GenerateContentResponse → ChatCompletion
GeminiStreamEventTransformer	StreamTransformer for streaming responses
convertGeminiStream()	Convenience function for streaming with signature capture

Mappers

Class	Description
ToolMapper	Tool definitions, tool choice, tool results, and schema sanitization
FinishReasonMapper	Maps Gemini finish reasons to OpenAI equivalents

Translation reference

OpenAI	Gemini	Notes
role: "system"	systemInstruction	Extracted from messages to top-level field
role: "assistant"	role: "model"	Direct rename
role: "tool"	role: "user" + FunctionResponsePart	Role changes; consecutive tool messages merged
max_tokens	generationConfig.maxOutputTokens
stop	generationConfig.stopSequences
tools	tools[{functionDeclarations}]	Schemas sanitized for Gemini compatibility
tool_choice: "auto"	functionCallingConfig.mode: AUTO
tool_choice: "required"	functionCallingConfig.mode: ANY
tool_choice: "none"	functionCallingConfig.mode: NONE
response_format (json)	responseMimeType: "application/json"
reasoning_effort	thinkingConfig.thinkingLevel	low/medium/high mapped directly
finish_reason: "stop"	STOP
finish_reason: "length"	MAX_TOKENS
finish_reason: "content_filter"	SAFETY / RECITATION / BLOCKLIST / SPII	Multiple Gemini reasons map to one
finish_reason: "tool_calls"	(tool calls detected)	Inferred from response content

Schema sanitization

Gemini rejects standard JSON Schema combinators. ToolMapper.sanitizeSchema() automatically handles:

• anyOf / oneOf with const values → enum array
• anyOf / oneOf with object variants → merged properties
• allOf → merged into single schema
• const → single-value enum
• Strips strict, additionalProperties, $schema

License

MIT