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docs: add required LLMConfig for Azure OpenAI (#558)

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* docs: add required `LLMConfig` for Azure OpenAI

* chore: set default models
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Eric Jolibois 2025-06-05 18:50:15 +02:00 • committed by GitHub
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@ -205,7 +205,7 @@ Graphiti supports Azure OpenAI for both LLM inference and embeddings. To use Azu
```python ```python
from openai import AsyncAzureOpenAI from openai import AsyncAzureOpenAI
from graphiti_core import Graphiti from graphiti_core import Graphiti
from graphiti_core.llm_client import OpenAIClient from graphiti_core.llm_client import LLMConfig, OpenAIClient
from graphiti_core.embedder.openai import OpenAIEmbedder, OpenAIEmbedderConfig from graphiti_core.embedder.openai import OpenAIEmbedder, OpenAIEmbedderConfig
from graphiti_core.cross_encoder.openai_reranker_client import OpenAIRerankerClient from graphiti_core.cross_encoder.openai_reranker_client import OpenAIRerankerClient
@ -221,12 +221,19 @@ azure_openai_client = AsyncAzureOpenAI(
azure_endpoint=azure_endpoint azure_endpoint=azure_endpoint
) )
# Create LLM Config with your Azure deployed model names
azure_llm_config = LLMConfig(
small_model="gpt-4.1-nano",
model="gpt-4.1-mini",
)
# Initialize Graphiti with Azure OpenAI clients # Initialize Graphiti with Azure OpenAI clients
graphiti = Graphiti( graphiti = Graphiti(
"bolt://localhost:7687", "bolt://localhost:7687",
"neo4j", "neo4j",
"password", "password",
llm_client=OpenAIClient( llm_client=OpenAIClient(
llm_config=azure_llm_config,
client=azure_openai_client client=azure_openai_client
), ),
embedder=OpenAIEmbedder( embedder=OpenAIEmbedder(
@ -237,6 +244,7 @@ graphiti = Graphiti(
), ),
# Optional: Configure the OpenAI cross encoder with Azure OpenAI # Optional: Configure the OpenAI cross encoder with Azure OpenAI
cross_encoder=OpenAIRerankerClient( cross_encoder=OpenAIRerankerClient(
llm_config=azure_llm_config,
client=azure_openai_client client=azure_openai_client
) )
) )