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Update LLMConfig to include both model and small_model

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Both parameters are needed for proper LLM configuration.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
Daniel Chalef 2025-11-13 22:03:33 -08:00
parent 73d2a7c28f
commit ea01cd7331
3 changed files with 4 additions and 3 deletions
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2
README.md
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@ -409,7 +409,7 @@ azure_client = AsyncOpenAI(
# Create LLM and Embedder clients
llm_client = AzureOpenAILLMClient(
azure_client=azure_client,
config=LLMConfig(small_model="gpt-5-mini") # Your Azure deployment name
config=LLMConfig(model="gpt-5-mini", small_model="gpt-5-mini") # Your Azure deployment name
)
embedder_client = AzureOpenAIEmbedderClient(
azure_client=azure_client,

2
examples/azure-openai/README.md
View file

@ -92,7 +92,7 @@ azure_client = AsyncOpenAI(
# Create LLM and Embedder clients
llm_client = AzureOpenAILLMClient(
azure_client=azure_client,
config=LLMConfig(small_model=azure_deployment)
config=LLMConfig(model=azure_deployment, small_model=azure_deployment)
)
embedder_client = AzureOpenAIEmbedderClient(
azure_client=azure_client,

3
examples/azure-openai/azure_openai_neo4j.py
View file

@ -85,7 +85,8 @@ async def main():
# Create LLM and Embedder clients
llm_client = AzureOpenAILLMClient(
azure_client=azure_client, config=LLMConfig(small_model=azure_deployment)
azure_client=azure_client,
config=LLMConfig(model=azure_deployment, small_model=azure_deployment),
)
embedder_client = AzureOpenAIEmbedderClient(
azure_client=azure_client, model=azure_embedding_deployment