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#1	---
#2	title: OpenAI
#3	---
#4
#5	To use OpenAI LLM models, you have to set the `OPENAI_API_KEY` environment variable. You can obtain the OpenAI API key from the [OpenAI Platform](https://platform.openai.com/account/api-keys).
#6
#7	> Note: The following are currently unsupported with reasoning models `Parallel tool calling`,`temperature`, `top_p`, `presence_penalty`, `frequency_penalty`, `logprobs`, `top_logprobs`, `logit_bias`, `max_tokens`
#8
#9	## Usage
#10
#11	<CodeGroup>
#12	```python Python
#13	import os
#14	from mem0 import Memory
#15
#16	os.environ["OPENAI_API_KEY"] = "your-api-key"
#17
#18	config = {
#19	"llm": {
#20	"provider": "openai",
#21	"config": {
#22	"model": "gpt-4.1-nano-2025-04-14",
#23	"temperature": 0.2,
#24	"max_tokens": 2000,
#25	}
#26	}
#27	}
#28
#29	# Use Openrouter by passing it's api key
#30	# os.environ["OPENROUTER_API_KEY"] = "your-api-key"
#31	# config = {
#32	# "llm": {
#33	# "provider": "openai",
#34	# "config": {
#35	# "model": "meta-llama/llama-3.1-70b-instruct",
#36	# }
#37	# }
#38	# }
#39
#40	m = Memory.from_config(config)
#41	messages = [
#42	{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
#43	{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
#44	{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
#45	{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
#46	]
#47	m.add(messages, user_id="alice", metadata={"category": "movies"})
#48	```
#49
#50	```typescript TypeScript
#51	import { Memory } from 'mem0ai/oss';
#52
#53	const config = {
#54	llm: {
#55	provider: 'openai',
#56	config: {
#57	apiKey: process.env.OPENAI_API_KEY \|\| '',
#58	model: 'gpt-4-turbo-preview',
#59	temperature: 0.2,
#60	maxTokens: 1500,
#61	},
#62	},
#63	};
#64
#65	const memory = new Memory(config);
#66	const messages = [
#67	{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
#68	{"role": "assistant", "content": "How about thriller movies? They can be quite engaging."},
#69	{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
#70	{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
#71	]
#72	await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
#73	```
#74	</CodeGroup>
#75
#76	We also support the new [OpenAI structured-outputs](https://platform.openai.com/docs/guides/structured-outputs/introduction) model.
#77
#78	```python
#79	import os
#80	from mem0 import Memory
#81
#82	os.environ["OPENAI_API_KEY"] = "your-api-key"
#83
#84	config = {
#85	"llm": {
#86	"provider": "openai_structured",
#87	"config": {
#88	"model": "gpt-4.1-nano-2025-04-14",
#89	"temperature": 0.0,
#90	}
#91	}
#92	}
#93
#94	m = Memory.from_config(config)
#95	```
#96
#97	## Config
#98
#99	All available parameters for the `openai` config are present in [Master List of All Params in Config](../config).
#100

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