How to trace Anthropic with HoneyHive

To trace Anthropic with HoneyHive, install honeyhive[openinference-anthropic], call HoneyHiveTracer.init(), run AnthropicInstrumentor().instrument(tracer_provider=tracer.provider), and use your existing Anthropic client unchanged. See the tracing quickstart and tracer initialization guides for setup details. Anthropic provides Claude models for chat, tool use, and vision. HoneyHive integrates with Anthropic via the OpenInference instrumentor, automatically capturing all API calls, tool use, and token usage.

How do I trace Anthropic with HoneyHive?

Add HoneyHive tracing in just 4 lines of code. Add this to your existing Anthropic app and all message calls, tool use, and streaming are automatically traced.

To see where to initialize the tracer for your environment, including AWS Lambda and long-running servers, see Tracer Initialization.

pip install "honeyhive[openinference-anthropic]"

# Or install separately
pip install honeyhive openinference-instrumentation-anthropic anthropic

import os
from honeyhive import HoneyHiveTracer
from openinference.instrumentation.anthropic import AnthropicInstrumentor

tracer = HoneyHiveTracer.init(api_key=os.getenv("HH_API_KEY"))
AnthropicInstrumentor().instrument(tracer_provider=tracer.provider)

# Your existing Anthropic code works unchanged

Tested Versions

HoneyHive’s Anthropic integration is tested against the following versions on PyPI, as of April 2026. Newer patch releases are generally safe; if you hit an issue, pin to these versions to reproduce a known-good configuration.

Package	Version
`anthropic`	`0.93.0` (minimum: `>= 0.17.0`, recommended: `>= 0.21.0`)
`openinference-instrumentation-anthropic`	`1.0.0`

Requires Python 3.11+.

What Gets Traced

The instrumentor automatically captures:

Message completions - client.messages.create() with inputs, outputs, and token usage
Tool use - Each tool call with arguments and results
Streaming responses - Streamed messages with aggregated tokens

No manual instrumentation required.

Example: Message Creation

import anthropic
from honeyhive import HoneyHiveTracer
from openinference.instrumentation.anthropic import AnthropicInstrumentor

tracer = HoneyHiveTracer.init(api_key=os.getenv("HH_API_KEY"))
AnthropicInstrumentor().instrument(tracer_provider=tracer.provider)

client = anthropic.Anthropic()

response = client.messages.create(
    model="claude-haiku-4-5-20251001",
    max_tokens=100,
    messages=[
        {"role": "user", "content": "What is the capital of France?"},
    ],
)
print(response.content[0].text)

# A follow-up call - also traced
response2 = client.messages.create(
    model="claude-haiku-4-5-20251001",
    max_tokens=100,
    messages=[
        {"role": "user", "content": "Tell me a fun fact about Paris."},
    ],
)
print(response2.content[0].text)

Environment Configuration

# HoneyHive configuration
export HH_API_KEY="your-honeyhive-api-key"

# Anthropic configuration
export ANTHROPIC_API_KEY="your-anthropic-api-key"

Troubleshooting

Traces not appearing

Check environment variables - Ensure HH_API_KEY is set
Pass the tracer provider - The instrumentor must receive tracer_provider=tracer.provider:

from honeyhive import HoneyHiveTracer
from openinference.instrumentation.anthropic import AnthropicInstrumentor

tracer = HoneyHiveTracer.init(api_key=os.getenv("HH_API_KEY"))

# ✅ Correct - pass tracer_provider
AnthropicInstrumentor().instrument(tracer_provider=tracer.provider)

# ❌ Wrong - missing tracer_provider
AnthropicInstrumentor().instrument()

Initialize before making calls - Call instrument() before creating the Anthropic client

Enrich Your Traces

Add user IDs and custom metadata to traces

Custom Spans

Create spans for business logic around API calls

Distributed Tracing

Trace calls across service boundaries

Using Traceloop (OpenLLMetry) Instead

If your project already uses Traceloop / OpenLLMetry, you can use its Anthropic instrumentor instead of OpenInference. The setup is identical - only the install and import paths differ.

pip install "honeyhive[traceloop-anthropic]"

from honeyhive import HoneyHiveTracer
from opentelemetry.instrumentation.anthropic import AnthropicInstrumentor

tracer = HoneyHiveTracer.init(api_key=os.getenv("HH_API_KEY"))
AnthropicInstrumentor().instrument(tracer_provider=tracer.provider)

Tested version: opentelemetry-instrumentation-anthropic 0.58.0 (April 2026).

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Evaluation

How to trace Anthropic with HoneyHive

How do I trace Anthropic with HoneyHive?

Tested Versions

What Gets Traced

Example: Message Creation

Environment Configuration

Troubleshooting

Traces not appearing

Enrich Your Traces

Custom Spans

Distributed Tracing

Using Traceloop (OpenLLMetry) Instead

Resources

​How do I trace Anthropic with HoneyHive?

​Tested Versions

​What Gets Traced

​Example: Message Creation

​Environment Configuration

​Troubleshooting

​Traces not appearing

​Related

Enrich Your Traces

Custom Spans

Distributed Tracing

​Using Traceloop (OpenLLMetry) Instead

​Resources

How do I trace Anthropic with HoneyHive?

Tested Versions

What Gets Traced

Example: Message Creation

Environment Configuration

Troubleshooting

Traces not appearing

Related

Using Traceloop (OpenLLMetry) Instead

Resources