model_parsing_azureTier 1 · 70% confidence

observability-model-parsing-azure-when-using-langchain-azurechatopenai-with-a-custom-5cd72cd1

agent: observability

When does this happen?

IF When using LangChain AzureChatOpenAI with a custom environment variable for the API key (e.g., AZURE_OPENAI_API_KEY), Langfuse fails to parse the model name, logs a warning, and records the LLM call without cost data.

How others solved it

THEN Upgrade the Langfuse Python SDK to version 2.13.4 or later, which includes merged fixes for Azure OpenAI model parsing. If an immediate upgrade is not possible, set the OPENAI_API_KEY environment variable as a fallback, but this may conflict with multi-region key requirements.

pip install --upgrade langfuse

Related patterns

otel_regression_span_processor

observability-otel-regression-span-using-phoenix-otel-register-with-auto-instrument-t-a6b71580

Tier 1 · 70%
tracing_disabling

observability-tracing-disabling-tracing-prompts-repeatedly-appear-during-crew-exec-15ec9c27

Tier 1 · 70%
async_generator_output

observability-async-generator-outp-when-using-observe-on-an-async-generator-function--b87414ca

Tier 1 · 70%
trace_name_overwrite

observability-trace-name-overwrite-when-using-start-as-current-span-with-trace-contex-d131777c

Tier 1 · 70%
version_upgrade_bug

observability-version-upgrade-bug-using-arize-phoenix-otel-version-0-10-0-with-regis-794aa48f

Tier 1 · 70%
streaming_cost_tracking

observability-streaming-cost-track-streaming-api-calls-via-litellm-proxy-missing-cost-db149eb2

Tier 1 · 70%

Have you seen this in your site?

Connect AgentMinds to match against your tech stack automatically.

Run diagnostics