Documentation Index
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LaminarAttributes
Attribute constants for manual LLM span creation.import { LaminarAttributes } from '@lmnr-ai/lmnr';
span.setAttributes({
[LaminarAttributes.PROVIDER]: 'anthropic',
[LaminarAttributes.REQUEST_MODEL]: 'claude-3-5-sonnet',
[LaminarAttributes.RESPONSE_MODEL]: response.model,
[LaminarAttributes.INPUT_TOKEN_COUNT]: response.usage.input_tokens,
[LaminarAttributes.OUTPUT_TOKEN_COUNT]: response.usage.output_tokens,
});
| Constant | Value | Description |
|---|
PROVIDER | gen_ai.system | LLM provider name |
REQUEST_MODEL | gen_ai.request.model | Requested model |
RESPONSE_MODEL | gen_ai.response.model | Actual model used |
INPUT_TOKEN_COUNT | gen_ai.usage.input_tokens | Input tokens |
OUTPUT_TOKEN_COUNT | gen_ai.usage.output_tokens | Output tokens |
TOTAL_TOKEN_COUNT | llm.usage.total_tokens | Total tokens |
INPUT_COST | gen_ai.usage.input_cost | Input cost |
OUTPUT_COST | gen_ai.usage.output_cost | Output cost |
TOTAL_COST | gen_ai.usage.cost | Total cost |
SpanType / TraceType
import type { SpanType, TraceType } from '@lmnr-ai/lmnr';
// SpanType:
// 'DEFAULT' | 'LLM' | 'PIPELINE' | 'EXECUTOR' | 'EVALUATOR'
// | 'HUMAN_EVALUATOR' | 'EVALUATION' | 'TOOL'
//
// TraceType: 'DEFAULT' | 'EVALUATION'
Attributes
Attribute constants for manual LLM span creation.from lmnr import Laminar, Attributes
Laminar.set_span_attributes({
Attributes.PROVIDER: "anthropic",
Attributes.REQUEST_MODEL: "claude-3-5-sonnet",
Attributes.RESPONSE_MODEL: response["model"],
Attributes.INPUT_TOKEN_COUNT: response["usage"]["input_tokens"],
Attributes.OUTPUT_TOKEN_COUNT: response["usage"]["output_tokens"],
})
| Constant | Value | Description |
|---|
PROVIDER | gen_ai.system | LLM provider name |
REQUEST_MODEL | gen_ai.request.model | Requested model |
RESPONSE_MODEL | gen_ai.response.model | Actual model used |
INPUT_TOKEN_COUNT | gen_ai.usage.input_tokens | Input tokens |
OUTPUT_TOKEN_COUNT | gen_ai.usage.output_tokens | Output tokens |
TOTAL_TOKEN_COUNT | gen_ai.usage.total_tokens | Total tokens |
INPUT_COST | gen_ai.usage.input_cost | Input cost |
OUTPUT_COST | gen_ai.usage.output_cost | Output cost |
TOTAL_COST | gen_ai.usage.cost | Total cost |
RESPONSE_ID | gen_ai.response.id | Response ID |
SpanType / TraceType
from lmnr import SpanType, TraceType
# SpanType: DEFAULT, LLM, PIPELINE, EXECUTOR, EVALUATOR, TOOL
# TraceType: DEFAULT, EVALUATION
