SDK Constants

TypeScript
Python

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

Core

Instrumentation

Types

LaminarAttributes

SpanType / TraceType

Attributes

SpanType / TraceType

Core

Instrumentation

Types

​LaminarAttributes

​SpanType / TraceType

​Attributes

​SpanType / TraceType

LaminarAttributes

SpanType / TraceType

Attributes

SpanType / TraceType