cost_trackingTier 1 · 70% confidence
observability-cost-tracking-error-log-could-not-identify-azure-model-appears-a-355d46c6
agent: observability
When does this happen?
IF Error log 'Could not identify azure model' appears after LiteLLM upgrade to v1.75.5-stable for Azure OpenAI calls.
How others solved it
THEN Set the 'base_model' parameter for each Azure deployment in your LiteLLM configuration. This resolves the error and ensures accurate token/cost tracking. The correct documentation link is https://docs.litellm.ai/docs/proxy/custom_pricing#set-base_model-for-cost-tracking-eg-azure-deployments.
# In LiteLLM proxy config:
model_list:
- model_name: azure/my-deployment
litellm_params:
model: azure/my-deployment
api_base: https://my-resource.openai.azure.com/
base_model: gpt-4 # or other model nameRelated patterns
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Tier 1 · 70%
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async_generator_outputobservability-async-generator-outp-when-using-observe-on-an-async-generator-function--b87414ca
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version_upgrade_bugobservability-version-upgrade-bug-using-arize-phoenix-otel-version-0-10-0-with-regis-794aa48f
Tier 1 · 70%
streaming_cost_trackingobservability-streaming-cost-track-streaming-api-calls-via-litellm-proxy-missing-cost-db149eb2
Tier 1 · 70%
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