semvec/pypi-packages huggingface dataset:
tapm-instrumentation-llamaindex 0.43.3
OpenTelemetry LlamaIndex instrumentation
License: Apache-2.0
Requires Python: <4,>=3.9

# OpenTelemetry LlamaIndex Instrumentation

<a href="https://pypi.org/project/opentelemetry-instrumentation-llamaindex/">
    <img src="https://badge.fury.io/py/opentelemetry-instrumentation-llamaindex.svg">
</a>

This library allows tracing complete LLM applications built with [LlamaIndex](https://github.com/run-llama/llama_index).

## Installation

```bash
pip install opentelemetry-instrumentation-llamaindex
```

## Example usage

```python
from opentelemetry.instrumentation.llamaindex import LlamaIndexInstrumentor

LlamaIndexInstrumentor().instrument()
```

## Privacy

**By default, this instrumentation logs prompts, completions, and embeddings to span attributes**. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs.

However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.

To disable logging, set the `TRACELOOP_TRACE_CONTENT` environment variable to `false`.

```bash
TRACELOOP_TRACE_CONTENT=false
```
tapm-instrumentation-langchain 0.43.3
OpenTelemetry Langchain instrumentation
License: Apache-2.0
Requires Python: <4,>=3.9

# OpenTelemetry Langchain Instrumentation

<a href="https://pypi.org/project/opentelemetry-instrumentation-langchain/">
    <img src="https://badge.fury.io/py/opentelemetry-instrumentation-langchain.svg">
</a>

This library allows tracing complete LLM applications built with [Langchain](https://github.com/langchain-ai/langchain).

## Installation

```bash
pip install opentelemetry-instrumentation-langchain
```

## Example usage

```python
from opentelemetry.instrumentation.langchain import LangchainInstrumentor

LangchainInstrumentor().instrument()
```

## Privacy

**By default, this instrumentation logs prompts, completions, and embeddings to span attributes**. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs.

However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.

To disable logging, set the `TRACELOOP_TRACE_CONTENT` environment variable to `false`.

```bash
TRACELOOP_TRACE_CONTENT=false
```
tapm-instrumentation-ollama 0.43.3
OpenTelemetry Ollama instrumentation
License: Apache-2.0
Requires Python: <4,>=3.9

# OpenTelemetry Ollama Instrumentation

<a href="https://pypi.org/project/opentelemetry-instrumentation-ollama/">
    <img src="https://badge.fury.io/py/opentelemetry-instrumentation-ollama.svg">
</a>

This library allows tracing calls to any of Ollama's endpoints sent with the official [Ollama Python Library](https://github.com/ollama/ollama-python).

## Installation

```bash
pip install opentelemetry-instrumentation-ollama
```

## Example usage

```python
from opentelemetry.instrumentation.ollama import OllamaInstrumentor

OllamaInstrumentor().instrument()
```

## Privacy

**By default, this instrumentation logs prompts, completions, and embeddings to span attributes**. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs.

However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.

To disable logging, set the `TRACELOOP_TRACE_CONTENT` environment variable to `false`.

```bash
TRACELOOP_TRACE_CONTENT=false
```
tapm-instrumentation-openai 0.43.3
OpenTelemetry OpenAI instrumentation
License: Apache-2.0
Requires Python: <4,>=3.9

# OpenTelemetry OpenAI Instrumentation

<a href="https://pypi.org/project/opentelemetry-instrumentation-openai/">
    <img src="https://badge.fury.io/py/opentelemetry-instrumentation-openai.svg">
</a>

This library allows tracing OpenAI prompts and completions sent with the official [OpenAI library](https://github.com/openai/openai-python).

## Installation

```bash
pip install opentelemetry-instrumentation-openai
```

## Example usage

```python
from opentelemetry.instrumentation.openai import OpenAIInstrumentor

OpenAIInstrumentor().instrument()
```

## Privacy

**By default, this instrumentation logs prompts, completions, and embeddings to span attributes**. This gives you a clear visibility into how your LLM application is working, and can make it easy to debug and evaluate the quality of the outputs.

However, you may want to disable this logging for privacy reasons, as they may contain highly sensitive data from your users. You may also simply want to reduce the size of your traces.

To disable logging, set the `TRACELOOP_TRACE_CONTENT` environment variable to `false`.

```bash
TRACELOOP_TRACE_CONTENT=false
```