OpenTelemetry SDK for AI/LLM observability with SideSeat
Project description
SideSeat Python SDK
OpenTelemetry SDK for AI/LLM observability with SideSeat.
Installation
pip install sideseat
Quick Start
from sideseat import SideSeatTelemetry
# Initialize telemetry
telemetry = SideSeatTelemetry()
# Configure exporters (chainable)
telemetry.setup_otlp_exporter(endpoint="http://localhost:5388/otel/default/v1/traces")
telemetry.setup_console_exporter()
# Your AI/LLM code here...
# Graceful shutdown (also registered with atexit for file exporters)
telemetry.shutdown()
Features
- Easy Setup: One-liner OpenTelemetry configuration
- Binary Encoding: Automatic base64 encoding for images/audio
- Multiple Exporters: OTLP, Console, and JSONL file output
- Framework Support: Works with Strands, LangChain, CrewAI, AutoGen
- Method Chaining: Fluent API for configuration
- Thread-Safe: Safe for concurrent use
Configuration
Custom Service Name
telemetry = SideSeatTelemetry(
service_name="my-ai-app",
service_version="1.0.0",
)
By default, the SDK auto-detects common AI frameworks (Strands, LangChain, CrewAI, AutoGen).
Disable Binary Encoding
telemetry = SideSeatTelemetry(encode_binary_as_base64=False)
Exporters
OTLP (recommended)
telemetry.setup_otlp_exporter(
endpoint="http://localhost:5388/otel/default/v1/traces"
)
Console
telemetry.setup_console_exporter()
File (JSONL)
# Append mode (default) - safe for multiple runs
telemetry.setup_file_exporter(path="traces.jsonl")
# Overwrite mode
telemetry.setup_file_exporter(path="traces.jsonl", mode="w")
Metrics
telemetry.setup_meter(
enable_console_exporter=True,
enable_otlp_exporter=True,
)
Utilities
encode_value
Encode Python values for JSON, with base64 encoding for binary data:
from sideseat import encode_value
encode_value(b"binary") # "YmluYXJ5" (base64)
encode_value({"key": b"value"}) # {"key": "dmFsdWU="}
encode_value({1, 2, 3}) # [1, 2, 3] (sorted list)
License
MIT
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