Respan exporter for LiteLLM
Project description
Keywords AI LiteLLM Exporter
LiteLLM integration for exporting logs and traces to Keywords AI.
Installation
pip install keywordsai-exporter-litellm
Quick Start
Callback Mode
Use the callback to send traces to Keywords AI:
import litellm
from keywordsai_exporter_litellm import KeywordsAILiteLLMCallback
# Setup callback
callback = KeywordsAILiteLLMCallback(api_key="your-keywordsai-api-key")
callback.register_litellm_callbacks()
# Make LLM calls - traces are automatically sent
response = litellm.completion(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello!"}],
)
Proxy Mode
Route requests through Keywords AI gateway:
import litellm
response = litellm.completion(
api_key="your-keywordsai-api-key",
api_base="https://api.keywordsai.co/api",
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello!"}],
)
Logging
If you just want individual logs (no trace/span IDs), omit trace fields and send only basic metadata. This will produce one log per request.
Callback Mode (with keywordsai_params)
import litellm
from keywordsai_exporter_litellm import KeywordsAILiteLLMCallback
callback = KeywordsAILiteLLMCallback(api_key="your-api-key")
callback.register_litellm_callbacks()
response = litellm.completion(
api_key="your-api-key",
api_base="https://api.keywordsai.co/api",
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello!"}],
metadata={
"keywordsai_params": {
"workflow_name": "simple_logging",
"span_name": "single_log",
"customer_identifier": "user-123",
}
},
)
Proxy Mode (with extra_body)
import litellm
response = litellm.completion(
api_key="your-keywordsai-api-key",
api_base="https://api.keywordsai.co/api",
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello!"}],
extra_body={
"span_workflow_name": "simple_logging",
"span_name": "single_log",
"customer_identifier": "user-123",
},
)
License
MIT
Project details
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