124 lines
4.1 KiB
Plaintext
124 lines
4.1 KiB
Plaintext
---
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title: Azure OpenAI
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---
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<Snippet file="blank-notif.mdx" />
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<Note> Mem0 Now Supports Azure OpenAI Models in TypeScript SDK </Note>
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To use Azure OpenAI models, you have to set the `LLM_AZURE_OPENAI_API_KEY`, `LLM_AZURE_ENDPOINT`, `LLM_AZURE_DEPLOYMENT` and `LLM_AZURE_API_VERSION` environment variables. You can obtain the Azure API key from the [Azure](https://azure.microsoft.com/).
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> **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`
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## Usage
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<CodeGroup>
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```python Python
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import os
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from mem0 import Memory
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os.environ["OPENAI_API_KEY"] = "your-api-key" # used for embedding model
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os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
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os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
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os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
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os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"
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config = {
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"llm": {
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"provider": "azure_openai",
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"config": {
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"model": "your-deployment-name",
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"temperature": 0.1,
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"max_tokens": 2000,
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"azure_kwargs": {
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"azure_deployment": "",
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"api_version": "",
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"azure_endpoint": "",
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"api_key": "",
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"default_headers": {
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"CustomHeader": "your-custom-header",
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}
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}
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}
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}
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}
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m = Memory.from_config(config)
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messages = [
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{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
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{"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
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{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
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]
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m.add(messages, user_id="alice", metadata={"category": "movies"})
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```
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```typescript TypeScript
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import { Memory } from 'mem0ai/oss';
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const config = {
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llm: {
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provider: 'azure_openai',
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config: {
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apiKey: process.env.AZURE_OPENAI_API_KEY || '',
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modelProperties: {
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endpoint: 'https://your-api-base-url',
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deployment: 'your-deployment-name',
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modelName: 'your-model-name',
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apiVersion: 'version-to-use',
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// Any other parameters you want to pass to the Azure OpenAI API
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},
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},
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},
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};
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const memory = new Memory(config);
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const messages = [
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{"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
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{"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
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{"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
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{"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
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]
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await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
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```
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</CodeGroup>
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We also support the new [OpenAI structured-outputs](https://platform.openai.com/docs/guides/structured-outputs/introduction) model. Typescript SDK does not support the `azure_openai_structured` model yet.
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```python
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import os
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from mem0 import Memory
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os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
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os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
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os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
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os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"
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config = {
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"llm": {
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"provider": "azure_openai_structured",
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"config": {
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"model": "your-deployment-name",
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"temperature": 0.1,
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"max_tokens": 2000,
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"azure_kwargs": {
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"azure_deployment": "",
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"api_version": "",
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"azure_endpoint": "",
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"api_key": "",
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"default_headers": {
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"CustomHeader": "your-custom-header",
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}
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}
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}
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}
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}
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```
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## Config
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All available parameters for the `azure_openai` config are present in [Master List of All Params in Config](../config).
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