@anthropic-ai/sdk
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The official TypeScript library for the Anthropic API
180 lines (173 loc) • 6.7 kB
text/typescript
import type { Attributes, Span } from '@opentelemetry/api';
import type { BaseAnthropic } from '../../../client';
import { APIError } from '../../../core/error';
import { Stream } from '../../../core/streaming';
import { buildHeaders, type NullableHeaders } from '../../../internal/headers';
import type { ApiCallResult, ApiCallSpan, ApiCallSpanSettings } from '../../../internal/tracing';
import { loggerFor } from '../../../internal/utils/log';
import type { BetaMessageTokensCount } from '../../../resources/beta/messages/messages';
import type { BetaManagedAgentsSession } from '../../../resources/beta/sessions/sessions';
import type { MessageTokensCount } from '../../../resources/messages/messages';
import {
ATTR_ANTHROPIC_BETA,
ATTR_ANTHROPIC_MESSAGE_COUNT_TOKENS_INPUT_TOKENS,
ATTR_ANTHROPIC_REQUEST_SERVICE_TIER,
ATTR_ANTHROPIC_THINKING_BUDGET_TOKENS,
ATTR_ANTHROPIC_THINKING_TYPE,
ATTR_GEN_AI_AGENT_NAME,
ATTR_GEN_AI_OPERATION_NAME,
ATTR_GEN_AI_OUTPUT_TYPE,
ATTR_GEN_AI_REQUEST_MAX_TOKENS,
ATTR_GEN_AI_REQUEST_MODEL,
ATTR_GEN_AI_REQUEST_REASONING_LEVEL,
ATTR_GEN_AI_REQUEST_STREAM,
GEN_AI_OPERATION_NAME_VALUE_CHAT,
GEN_AI_OUTPUT_TYPE_VALUE_JSON,
RESPONSE_HEADER_ATTRIBUTES,
} from './attributes';
import { setMessageContentAttributes } from './content';
import { setResponseAttributes } from './response';
import type { AnyMessage, MessageCreateBody } from './types';
/**
* Sets the IDs in the response headers of `result` on `span`, the call span of any API call.
* A failure to record, here and below, is logged and never fails the API call.
*/
export function setAnthropicSpanAttributes(client: BaseAnthropic, span: Span, result: ApiCallResult): void {
if (!span.isRecording()) {
return;
}
try {
const error = result.status === 'error' ? result.error : undefined;
const headers = result.response?.headers ?? (error instanceof APIError ? error.headers : undefined);
for (const [attribute, header] of RESPONSE_HEADER_ATTRIBUTES) {
const value = headers?.get(header);
if (value) {
span.setAttribute(attribute, value);
}
}
} catch (problem) {
loggerFor(client).debug('could not record the API call on its span', problem);
}
}
/**
* The attributes that a `messages.create` span starts with, from the request's `body` and
* `headers`. A sampler sees only the attributes that a span starts with.
*/
export function messagesCreateSpanSettings(
client: BaseAnthropic,
body: MessageCreateBody,
headers: NullableHeaders,
): ApiCallSpanSettings {
const attributes: Attributes = {
[ATTR_GEN_AI_OPERATION_NAME]: GEN_AI_OPERATION_NAME_VALUE_CHAT,
[ATTR_GEN_AI_REQUEST_MODEL]: body.model,
};
try {
// The client sends its default headers with the method's, which replace those of the same name.
const betas = (buildHeaders([client._options.defaultHeaders, headers]).values.get('anthropic-beta') ?? '')
.split(',')
.map((beta) => beta.trim())
.filter(Boolean);
if (betas.length) {
attributes[ATTR_ANTHROPIC_BETA] = betas;
}
attributes[ATTR_GEN_AI_REQUEST_MAX_TOKENS] = body.max_tokens;
if (body.stream === true) {
attributes[ATTR_GEN_AI_REQUEST_STREAM] = true;
}
// The beta method has already moved a deprecated `output_format` here.
if (body.output_config?.format?.type === 'json_schema') {
attributes[ATTR_GEN_AI_OUTPUT_TYPE] = GEN_AI_OUTPUT_TYPE_VALUE_JSON;
}
const effort = body.output_config?.effort;
if (effort != null) {
attributes[ATTR_GEN_AI_REQUEST_REASONING_LEVEL] = effort;
}
if (body.service_tier != null) {
attributes[ATTR_ANTHROPIC_REQUEST_SERVICE_TIER] = body.service_tier;
}
const thinking = body.thinking;
if (thinking != null) {
attributes[ATTR_ANTHROPIC_THINKING_TYPE] = thinking.type;
}
if (thinking?.type === 'enabled') {
attributes[ATTR_ANTHROPIC_THINKING_BUDGET_TOKENS] = thinking.budget_tokens;
}
} catch (problem) {
loggerFor(client).debug('could not record the request on its span', problem);
}
return { route: '/v1/messages', attributes };
}
/**
* In content mode, sets the request's content on `call`. The span does not start with it, because
* the size limit counts it together with the response's content. Returns `call`.
*/
export function recordMessagesCreateRequest(
client: BaseAnthropic,
call: ApiCallSpan | undefined,
body: MessageCreateBody,
): ApiCallSpan | undefined {
if (!call?.span.isRecording()) {
return call;
}
try {
const { contentMode, maxContentBytes } = client.openTelemetry.traces;
if (contentMode === 'content') {
setMessageContentAttributes(call, body, undefined, maxContentBytes);
}
} catch (problem) {
loggerFor(client).debug('could not record the request on its span', problem);
}
return call;
}
/**
* Sets the response attributes and, in content mode, the response's content on `call`. A streamed
* response is recorded as the application reads it (`endAnthropicApiCallSpanWhenStreamEnds`).
*/
export function recordMessagesCreateResponse(
client: BaseAnthropic,
call: ApiCallSpan | undefined,
body: MessageCreateBody,
data: AnyMessage | Stream<unknown>,
): void {
if (!call?.span.isRecording() || data instanceof Stream) {
return;
}
const span = call.span;
try {
setResponseAttributes(span, data, data.usage, true);
const { contentMode, maxContentBytes } = client.openTelemetry.traces;
if (contentMode === 'content') {
setMessageContentAttributes(call, body, data.content, maxContentBytes);
}
} catch (problem) {
loggerFor(client).debug('could not record the response on its span', problem);
}
}
/** Sets the token count of a `messages.countTokens` response on `call`. */
export function recordCountTokensResponse(
client: BaseAnthropic,
call: ApiCallSpan | undefined,
count: MessageTokensCount | BetaMessageTokensCount,
): void {
try {
call?.span.setAttribute(ATTR_ANTHROPIC_MESSAGE_COUNT_TOKENS_INPUT_TOKENS, count.input_tokens);
} catch (problem) {
loggerFor(client).debug('could not record the response on its span', problem);
}
}
/** Sets the Agent's name and model on `call`, as the created `session` resolved them. */
export function recordSessionsCreateResponse(
client: BaseAnthropic,
call: ApiCallSpan | undefined,
session: BetaManagedAgentsSession,
): void {
try {
call?.span.setAttributes({
[ATTR_GEN_AI_AGENT_NAME]: session.agent.name,
[ATTR_GEN_AI_REQUEST_MODEL]: session.agent.model.id,
});
} catch (problem) {
loggerFor(client).debug('could not record the response on its span', problem);
}
}