SDK Constants

TypeScript

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' | 'EXECUTOR' | 'EVALUATOR' | 'HUMAN_EVALUATOR'
// | 'EVALUATION' | 'TOOL' | 'CACHED'
//
// TraceType: 'DEFAULT' | 'EVALUATION'

Python

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, TOOL, EXECUTOR, EVALUATOR, HUMAN_EVALUATOR, EVALUATION
#   (PIPELINE is reserved internally)
# TraceType: DEFAULT, EVALUATION