Troubleshooting Phoenix Tracing in Multi-Agent LangGraph System | Arize AI Community

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Troubleshooting Phoenix Tracing in Multi-Agent LangGraph System | Arize AI Community

RunLLM
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Your code is correct, but Phoenix is trying to send traces to localhost:4317 (gRPC) and cannot connect, likely because the Phoenix server is not running or not accessible at that endpoint. Make sure Phoenix is running and listening on the correct port, or explicitly set the endpoint parameter in register() to match your collector (e.g., endpoint="http://localhost:6006/v1/traces" for HTTP) as shown in the official docs and setup guide.Also, the "Attempting to instrument while already instrumented" warning means LangChainInstrumentor().instrument() was called more than once in the same process. You can skip this call if auto_instrument=True is set in register()—it will auto-instrument all OpenInference libraries (source).Would you like more detail or a code example for your setup?Sources: - LangGraph Tracing Setup - Phoenix OTEL Setup - OpenInference auto-instrumentation
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Mateo
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Aren't traces going to be sent over http to the collector hostname link? do i need this locally?
Mateo
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RunLLM Aren't traces going to be sent over http to the collector hostname link? do i need this locally?
RunLLM
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By default, Phoenix tracing uses gRPC (localhost:4317) unless you specify the HTTP endpoint (e.g., http://localhost:6006/v1/traces). If your PHOENIX_COLLECTOR_ENDPOINT is set to an HTTP URL, you should pass it as the endpoint argument in register(). You only need Phoenix running locally if you want to collect and view traces on your local machine; otherwise, point to your remote collector's HTTP endpoint (reference).Would you like a code snippet for remote HTTP collector setup?Sources: - arize-phoenix-otel | Phoenix
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Mateo
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RunLLM yes please, give me remote http collector setup
RunLLM
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To send traces to a remote Phoenix HTTP collector, set your endpoint to the remote URL ending with /v1/traces and pass it to register(). Example: LBKSfrom phoenix.otel import registerLBKStracer_provider = register( project_name="your-project", endpoint="https://your-remote-phoenix.com/v1/traces", protocol="http/protobuf", # ensures HTTP transport auto_instrument=True )LBKSThis will send traces over HTTP to your remote Phoenix instance (docs).Would you like more detail on environment variables or authentication?Sources: - arize-phoenix-otel | Phoenix
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Mateo
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RunLLM should the endpoint be the hostname found in Platform Settings?
RunLLM
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Yes, for Phoenix Cloud, the endpoint should be the hostname found in your Platform Settings, with /v1/traces appended for HTTP trace collection (reference). For example: https://your-phoenix-hostname/v1/traces.Would you like more detail on configuring this in your code?Sources: - What is my Phoenix Endpoint? | Phoenix
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Mateo
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mine has this format https://app.phoenix.arize.com/s/my-name
Mateo
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RunLLM mine has this format https://app.phoenix.arize.com/s/my-name
RunLLM
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For Phoenix Cloud, use the base hostname from your Platform Settings (e.g., https://app.phoenix.arize.com) and append /v1/traces for the OTEL tracing endpoint: https://app.phoenix.arize.com/v1/traces (reference).The /s/my-name path is for the UI, not for trace collection. Use only the base URL plus /v1/traces for your collector endpoint.Would you like a full example with authentication?Sources: - What is my Phoenix Endpoint? | Phoenix
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Mateo
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RunLLM I am getting authentication problems 🔭 OpenTelemetry Tracing Details 🔭 | Phoenix Project: vigIA | Span Processor: SimpleSpanProcessor | Collector Endpoint: https://app.phoenix.arize.com/v1/traces | Transport: HTTP + protobuf | Transport Headers: {'authorization': '****'} | | Using a default SpanProcessor. add_span_processor will overwrite this default. | | ⚠️ WARNING: It is strongly advised to use a BatchSpanProcessor in production environments. | | register has set this TracerProvider as the global OpenTelemetry default. | To disable this behavior, call register with set_global_tracer_provider=False. Attempting to instrument while already instrumented Failed to export batch code: 401, reason: Failed to export batch code: 401, reason: Failed to export batch code: 401, reason:
RunLLM
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A 401 error means your Phoenix API key is missing, invalid, or not being sent correctly. Make sure you set the PHOENIX_API_KEY environment variable to your valid Phoenix Cloud API key before running your code (docs). The key should be created in the Phoenix UI under Platform Settings → API Keys.Would you like step-by-step instructions for setting the API key?Sources: - https://github.com/Arize-ai/phoenix/blob/main/docs/section-self-hosting/authentication.md - https://github.com/Arize-ai/openinference/issues/1686
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Mateo
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RunLLM i already created the api key
RunLLM
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If you already created the API key, ensure it is set as the environment variable PHOENIX_API_KEY before your process starts. For example, in your shell or .env file: LBKSexport PHOENIX_API_KEY=your-api-keyLBKSor in Python: LBKSimport os os.environ["PHOENIX_API_KEY"] = "your-api-key"LBKSThe Phoenix client and OTEL tracing will automatically use this key for authentication (docs).Would you like troubleshooting steps if this still fails?Sources: - https://github.com/Arize-ai/openinference/issues/1686 - https://github.com/Arize-ai/phoenix/blob/main/docs/tracing/llm-traces-1/quickstart-tracing-ts.md
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