OpenAI

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A RocketRide LLM node that connects OpenAI GPT models to a pipeline.

What it does

Provides an OpenAI-backed chat LLM for agents and other nodes that need a language model. It can also be wired directly through the questions and answers lanes. The node uses langchain-openai (ChatOpenAI) and the openai SDK, routing reasoning-capable models through the Responses API while other models use Chat Completions.

Lanes

Lane in	Lane out	Description
questions	answers	Send a question directly, receive a generated answer

Profiles

Default: GPT-5.2 (openai-5-2).

Profile	Model	Context	Output
openai-5-2 (default)	gpt-5.2	400,000	128,000
gpt-5-6-sol	gpt-5.6-sol	1,050,000	128,000
gpt-5-6-terra	gpt-5.6-terra	1,050,000	128,000
gpt-5-6-luna	gpt-5.6-luna	1,050,000	128,000
gpt-5-5	gpt-5.5	1,050,000	128,000

View 80 more models

Profile	Model	Context	Output
custom	(user-specified)	16,384	editable
openai-5-4	gpt-5.4	1,050,000	128,000
openai-5-4-pro	gpt-5.4-pro	1,050,000	128,000
openai-5-4-mini	gpt-5.4-mini	400,000	128,000
openai-5-4-nano	gpt-5.4-nano	400,000	128,000
openai-4o	gpt-4o	128,000	16,384
openai-4o-mini	gpt-4o-mini	128,000	16,384
openai-5	gpt-5	400,000	128,000
openai-5-1	gpt-5.1	400,000	128,000
openai-5-mini	gpt-5-mini	400,000	128,000
openai-5-nano	gpt-5-nano	400,000	128,000
gpt-3-5-turbo	gpt-3.5-turbo	16,385	4,096
gpt-3-5-turbo-16k	gpt-3.5-turbo-16k	16,385	4,096
gpt-4	gpt-4	8,191	4,096
gpt-4-1	gpt-4.1	1,047,576	32,768
gpt-4-1-mini	gpt-4.1-mini	1,047,576	32,768
gpt-4-1-nano	gpt-4.1-nano	1,047,576	32,768
gpt-4-turbo	gpt-4-turbo	128,000	4,096
gpt-5-1-chat-latest	gpt-5.1-chat-latest	128,000	16,384
gpt-5-2-chat-latest	gpt-5.2-chat-latest	128,000	16,384
gpt-5-3-chat-latest	gpt-5.3-chat-latest	128,000	16,384
gpt-5-chat-latest	gpt-5-chat-latest	128,000	16,384
o1	o1	200,000	100,000
o3	o3	200,000	100,000
o3-mini	o3-mini	200,000	100,000
o4-mini	o4-mini	200,000	100,000
gpt-4-turbo-preview	gpt-4-turbo-preview	128,000	4,096
gpt-5-1-chat	gpt-5.1-chat	128,000	16,384
gpt-5-3-chat (deprecated)	gpt-5.3-chat	128,000	16,384
gpt-5-6-luna-pro	gpt-5.6-luna-pro	1,050,000	128,000
gpt-5-6-sol-pro	gpt-5.6-sol-pro	1,050,000	128,000
gpt-5-6-terra-pro	gpt-5.6-terra-pro	1,050,000	128,000
gpt-5-chat	gpt-5-chat	128,000	16,384
gpt-chat-latest	gpt-chat-latest	400,000	128,000
gpt-latest	gpt-latest	1,050,000	128,000
gpt-mini-latest	gpt-mini-latest	400,000	128,000
gpt-oss-120b	gpt-oss-120b	131,072	117,964
gpt-oss-120b-free (deprecated)	gpt-oss-120b:free	131,072	131,072
gpt-oss-20b	gpt-oss-20b	131,072	117,964
gpt-oss-20b-free	gpt-oss-20b:free	131,072	32,768
gpt-oss-safeguard-20b	gpt-oss-safeguard-20b	131,072	65,536
o3-mini-high	o3-mini-high	200,000	100,000
o3-pro	o3-pro	200,000	100,000
o4-mini-high	o4-mini-high	200,000	100,000
gpt-3-5-turbo-batch	gpt-3.5-turbo:batch	16,385	4,096
gpt-4-1-batch	gpt-4.1:batch	1,047,576	32,768
gpt-4-1-mini-batch	gpt-4.1-mini:batch	1,047,576	32,768
gpt-4-1-nano-batch	gpt-4.1-nano:batch	1,047,576	32,768
gpt-4-turbo-batch	gpt-4-turbo:batch	128,000	4,096
gpt-4o-batch	gpt-4o:batch	128,000	16,384
gpt-4o-mini-batch	gpt-4o-mini:batch	128,000	16,384
gpt-5-1-batch	gpt-5.1:batch	400,000	128,000
gpt-5-2-batch	gpt-5.2:batch	400,000	128,000
gpt-5-2-chat	gpt-5.2-chat	128,000	32,000
gpt-5-2-pro-batch	gpt-5.2-pro:batch	400,000	128,000
gpt-5-4-batch	gpt-5.4:batch	1,050,000	128,000
gpt-5-4-mini-batch	gpt-5.4-mini:batch	400,000	128,000
gpt-5-4-nano-batch	gpt-5.4-nano:batch	400,000	128,000
gpt-5-4-pro-batch	gpt-5.4-pro:batch	1,050,000	128,000
gpt-5-5-batch	gpt-5.5:batch	1,050,000	128,000
gpt-5-5-pro-batch	gpt-5.5-pro:batch	1,050,000	128,000
gpt-5-6-luna-batch	gpt-5.6-luna:batch	1,050,000	128,000
gpt-5-6-luna-pro-batch	gpt-5.6-luna-pro:batch	1,050,000	128,000
gpt-5-6-sol-batch	gpt-5.6-sol:batch	1,050,000	128,000
gpt-5-6-sol-pro-batch	gpt-5.6-sol-pro:batch	1,050,000	128,000
gpt-5-6-terra-batch	gpt-5.6-terra:batch	1,050,000	128,000
gpt-5-6-terra-pro-batch	gpt-5.6-terra-pro:batch	1,050,000	128,000
gpt-5-batch	gpt-5:batch	400,000	128,000
gpt-5-mini-batch	gpt-5-mini:batch	400,000	128,000
gpt-5-nano-batch	gpt-5-nano:batch	400,000	128,000
gpt-5-pro-batch	gpt-5-pro:batch	400,000	128,000
gpt-6-astra	gpt-6-astra	1,050,000	128,000
gpt-6-astra-batch	gpt-6-astra:batch	1,050,000	128,000
gpt-6-astra-pro	gpt-6-astra-pro	1,050,000	128,000
gpt-6-astra-pro-batch	gpt-6-astra-pro:batch	1,050,000	128,000
gpt-oss-120b-batch	gpt-oss-120b:batch	131,072	117,964
gpt-oss-20b-batch	gpt-oss-20b:batch	131,072	117,964
o3-batch	o3:batch	200,000	100,000
o3-mini-batch	o3-mini:batch	200,000	100,000
o4-mini-batch	o4-mini:batch	200,000	100,000

Configuration

Choose a profile to pin the OpenAI model and token limits; most users only need to select a profile and provide an API key. Preconfigured profiles keep model details fixed, while custom exposes the model name, context limit and output limit for models not listed here.

Custom models

For custom, enter an OpenAI model ID and a positive context limit. The initial context value is 16,384 tokens; set it to the actual model limit so the pipeline can reject oversized prompts before sending them. Left empty, the output limit (modelOutputTokens) is the default model's; set it to your model's limit, keeping in mind that reasoning models count their thinking against it.

Authentication

Set apikey to an OpenAI API key for every profile (including custom). The key is verified with a live one-word test call during pipeline validation, so a bad key or model name is reported before the pipeline runs rather than at first invoke.

Notes

Reasoning streaming

For models whose configuration carries capabilities.reasoning, the node builds a raw openai client alongside the LangChain one and streams answers via the Responses API with reasoning: {summary: 'auto'}. Reasoning-summary deltas are forwarded over the thinking SSE lane while the answer streams normally. Non-reasoning models use plain LangChain streaming with the profile's output limit. temperature is configurable on every profile (range 0-2, default 0, which is generally more deterministic than higher values, though OpenAI does not guarantee identical output for identical input); reasoning models ignore it, because OpenAI's Responses API controls sampling separately.

Validation and errors

Pipeline validation makes a small live call to verify the API key and model name. Models whose names begin with gpt-5 are probed with max_completion_tokens; older models use max_tokens. Rate-limit and connection errors are retryable, while authentication and other API errors fail immediately with a provider-specific message.

Testing

Automated node tests are declared in services.json:

• Mock group: runs the openai-5-2, openai-5-4, openai-5-4-pro, openai-5-4-mini, and openai-5-4-nano profiles against a mocked langchain_openai; no real API key needed. ROCKETRIDE_MOCK must point to nodes/test/mocks.
• Real group: skipped unless ROCKETRIDE_OPENAI_KEY is set; calls the live API with the openai-4o-mini profile.

---

Schema

Field	Type	Description	Default
model	string	Model OpenAI model
modelOutputTokens	integer	Output Tokens Most tokens the model may write in one reply (at least 1,024). Leave it empty to keep the node's default. Reasoning models count their thinking against this limit: set it well above the reply you expect, or they can spend it all thinking and return nothing. It cannot exceed Tokens; a larger value is lowered to it.
modelTotalTokens	number	Tokens Total Tokens
openai.profile	string	Model LLM model	"openai-5-2"
temperature	number	Temperature Sampling temperature for non-reasoning models: 0 is generally more deterministic, higher values increase variety. Ignored for reasoning models (o1, o3, GPT-5 reasoning variants, ...), which OpenAI's Responses API controls separately.	0

Dependencies

• openai
• langchain-openai
• langchain-core
• langchain