Refactor OTEL logging for API calls (#991)
Refactor OpenTelemetry logging for API requests, responses, and errors. Moved logging responsibility from GeminiClient to GeminiChat for more detailed logging. #750
This commit is contained in:
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3c3da655b0
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@ -296,8 +296,8 @@ These are timestamped records of specific events.
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- **Attributes**:
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- `model`
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- `duration_ms`
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- `input_token_count`
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- `request_text` (optional)
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- `gemini_cli.api_error`: Fired if the API request fails.
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@ -307,7 +307,6 @@ These are timestamped records of specific events.
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- `error_type`
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- `status_code`
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- `duration_ms`
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- `attempt`
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- `gemini_cli.api_response`: Fired upon receiving a response from the Gemini API.
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- **Attributes**:
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@ -315,7 +314,7 @@ These are timestamped records of specific events.
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- `status_code`
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- `duration_ms`
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- `error` (optional)
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- `attempt`
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- `input_token_count`
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- `output_token_count`
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- `cached_content_token_count`
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- `thoughts_token_count`
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@ -27,11 +27,6 @@ import { GeminiChat } from './geminiChat.js';
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import { retryWithBackoff } from '../utils/retry.js';
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import { getErrorMessage } from '../utils/errors.js';
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import { tokenLimit } from './tokenLimits.js';
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import {
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logApiRequest,
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logApiResponse,
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logApiError,
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} from '../telemetry/index.js';
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import {
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ContentGenerator,
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createContentGenerator,
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@ -223,80 +218,6 @@ export class GeminiClient {
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return turn;
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}
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private _logApiRequest(model: string, inputTokenCount: number): void {
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logApiRequest(this.config, {
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model,
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input_token_count: inputTokenCount,
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duration_ms: 0, // Duration is not known at request time
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});
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}
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private _logApiResponse(
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model: string,
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durationMs: number,
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attempt: number,
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response: GenerateContentResponse,
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): void {
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const promptFeedback = response.promptFeedback;
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const finishReason = response.candidates?.[0]?.finishReason;
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let responseError;
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if (promptFeedback?.blockReason) {
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responseError = `Blocked: ${promptFeedback.blockReason}${promptFeedback.blockReasonMessage ? ' - ' + promptFeedback.blockReasonMessage : ''}`;
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} else if (
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finishReason &&
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!['STOP', 'MAX_TOKENS', 'UNSPECIFIED'].includes(finishReason)
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) {
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responseError = `Finished with reason: ${finishReason}`;
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}
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logApiResponse(this.config, {
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model,
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duration_ms: durationMs,
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attempt,
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status_code: undefined,
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error: responseError,
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output_token_count: response.usageMetadata?.candidatesTokenCount ?? 0,
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cached_content_token_count:
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response.usageMetadata?.cachedContentTokenCount ?? 0,
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thoughts_token_count: response.usageMetadata?.thoughtsTokenCount ?? 0,
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tool_token_count: response.usageMetadata?.toolUsePromptTokenCount ?? 0,
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response_text: getResponseText(response),
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});
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}
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private _logApiError(
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model: string,
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error: unknown,
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durationMs: number,
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attempt: number,
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isAbort: boolean = false,
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): void {
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let statusCode: number | string | undefined;
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let errorMessage = getErrorMessage(error);
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if (isAbort) {
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errorMessage = 'Request aborted by user';
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statusCode = 'ABORTED'; // Custom S
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} else if (typeof error === 'object' && error !== null) {
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if ('status' in error) {
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statusCode = (error as { status: number | string }).status;
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} else if ('code' in error) {
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statusCode = (error as { code: number | string }).code;
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} else if ('httpStatusCode' in error) {
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statusCode = (error as { httpStatusCode: number | string })
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.httpStatusCode;
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}
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}
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logApiError(this.config, {
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model,
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error: errorMessage,
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status_code: statusCode,
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duration_ms: durationMs,
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attempt,
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});
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}
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async generateJson(
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contents: Content[],
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schema: SchemaUnion,
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@ -305,8 +226,6 @@ export class GeminiClient {
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config: GenerateContentConfig = {},
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): Promise<Record<string, unknown>> {
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const cg = await this.contentGenerator;
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const attempt = 1;
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const startTime = Date.now();
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try {
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const userMemory = this.config.getUserMemory();
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const systemInstruction = getCoreSystemPrompt(userMemory);
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@ -316,22 +235,6 @@ export class GeminiClient {
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...config,
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};
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let inputTokenCount = 0;
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try {
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const { totalTokens } = await cg.countTokens({
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model,
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contents,
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});
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inputTokenCount = totalTokens || 0;
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} catch (_e) {
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console.warn(
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`Failed to count tokens for model ${model}. Proceeding with inputTokenCount = 0. Error: ${getErrorMessage(_e)}`,
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);
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inputTokenCount = 0;
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}
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this._logApiRequest(model, inputTokenCount);
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const apiCall = () =>
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cg.generateContent({
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model,
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@ -345,7 +248,6 @@ export class GeminiClient {
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});
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const result = await retryWithBackoff(apiCall);
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const durationMs = Date.now() - startTime;
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const text = getResponseText(result);
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if (!text) {
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@ -358,12 +260,10 @@ export class GeminiClient {
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contents,
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'generateJson-empty-response',
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);
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this._logApiError(model, error, durationMs, attempt);
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throw error;
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}
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try {
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const parsedJson = JSON.parse(text);
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this._logApiResponse(model, durationMs, attempt, result);
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return parsedJson;
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} catch (parseError) {
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await reportError(
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@ -375,15 +275,12 @@ export class GeminiClient {
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},
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'generateJson-parse',
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);
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this._logApiError(model, parseError, durationMs, attempt);
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throw new Error(
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`Failed to parse API response as JSON: ${getErrorMessage(parseError)}`,
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);
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}
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} catch (error) {
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const durationMs = Date.now() - startTime;
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if (abortSignal.aborted) {
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this._logApiError(model, error, durationMs, attempt, true);
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throw error;
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}
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@ -394,7 +291,6 @@ export class GeminiClient {
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) {
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throw error;
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}
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this._logApiError(model, error, durationMs, attempt);
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await reportError(
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error,
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@ -419,8 +315,6 @@ export class GeminiClient {
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...this.generateContentConfig,
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...generationConfig,
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};
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const attempt = 1;
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const startTime = Date.now();
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try {
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const userMemory = this.config.getUserMemory();
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@ -432,22 +326,6 @@ export class GeminiClient {
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systemInstruction,
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};
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let inputTokenCount = 0;
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try {
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const { totalTokens } = await cg.countTokens({
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model: modelToUse,
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contents,
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});
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inputTokenCount = totalTokens || 0;
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} catch (_e) {
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console.warn(
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`Failed to count tokens for model ${modelToUse}. Proceeding with inputTokenCount = 0. Error: ${getErrorMessage(_e)}`,
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);
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inputTokenCount = 0;
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}
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this._logApiRequest(modelToUse, inputTokenCount);
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const apiCall = () =>
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cg.generateContent({
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model: modelToUse,
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@ -460,18 +338,12 @@ export class GeminiClient {
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'Raw API Response in client.ts:',
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JSON.stringify(result, null, 2),
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);
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const durationMs = Date.now() - startTime;
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this._logApiResponse(modelToUse, durationMs, attempt, result);
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return result;
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} catch (error: unknown) {
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const durationMs = Date.now() - startTime;
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if (abortSignal.aborted) {
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this._logApiError(modelToUse, error, durationMs, attempt, true);
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throw error;
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}
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this._logApiError(modelToUse, error, durationMs, attempt);
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await reportError(
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error,
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`Error generating content via API with model ${modelToUse}.`,
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@ -19,6 +19,17 @@ import { retryWithBackoff } from '../utils/retry.js';
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import { isFunctionResponse } from '../utils/messageInspectors.js';
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import { ContentGenerator } from './contentGenerator.js';
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import { Config } from '../config/config.js';
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import {
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logApiRequest,
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logApiResponse,
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logApiError,
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} from '../telemetry/loggers.js';
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import {
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getResponseText,
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getResponseTextFromParts,
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} from '../utils/generateContentResponseUtilities.js';
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import { getErrorMessage } from '../utils/errors.js';
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import { getRequestTextFromContents } from '../utils/requestUtils.js';
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/**
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* Returns true if the response is valid, false otherwise.
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@ -129,6 +140,69 @@ export class GeminiChat {
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validateHistory(history);
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}
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private async _logApiRequest(
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contents: Content[],
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model: string,
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): Promise<void> {
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let inputTokenCount = 0;
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try {
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const { totalTokens } = await this.contentGenerator.countTokens({
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model,
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contents,
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});
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inputTokenCount = totalTokens || 0;
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} catch (_e) {
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console.warn(
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`Failed to count tokens for model ${model}. Proceeding with inputTokenCount = 0. Error: ${getErrorMessage(_e)}`,
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);
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inputTokenCount = 0;
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}
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const shouldLogUserPrompts = (config: Config): boolean =>
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config.getTelemetryLogUserPromptsEnabled() ?? false;
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const requestText = getRequestTextFromContents(contents);
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logApiRequest(this.config, {
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model,
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input_token_count: inputTokenCount,
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request_text: shouldLogUserPrompts(this.config) ? requestText : undefined,
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});
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}
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private async _logApiResponse(
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durationMs: number,
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response: GenerateContentResponse,
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fullStreamedText?: string,
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): Promise<void> {
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const responseText = fullStreamedText ?? getResponseText(response);
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logApiResponse(this.config, {
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model: this.model,
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duration_ms: durationMs,
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status_code: 200, // Assuming 200 for success
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input_token_count: response.usageMetadata?.promptTokenCount ?? 0,
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output_token_count: response.usageMetadata?.candidatesTokenCount ?? 0,
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cached_content_token_count:
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response.usageMetadata?.cachedContentTokenCount ?? 0,
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thoughts_token_count: response.usageMetadata?.thoughtsTokenCount ?? 0,
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tool_token_count: response.usageMetadata?.toolUsePromptTokenCount ?? 0,
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response_text: responseText,
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});
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}
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private _logApiError(durationMs: number, error: unknown): void {
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const errorMessage = error instanceof Error ? error.message : String(error);
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const errorType = error instanceof Error ? error.name : 'unknown';
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const statusCode = 'unknown';
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logApiError(this.config, {
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model: this.model,
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error: errorMessage,
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status_code: statusCode,
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error_type: errorType,
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duration_ms: durationMs,
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});
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}
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/**
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* Sends a message to the model and returns the response.
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*
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@ -154,46 +228,56 @@ export class GeminiChat {
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): Promise<GenerateContentResponse> {
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await this.sendPromise;
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const userContent = createUserContent(params.message);
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const requestContents = this.getHistory(true).concat(userContent);
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const apiCall = () =>
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this.contentGenerator.generateContent({
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model: this.model,
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contents: this.getHistory(true).concat(userContent),
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config: { ...this.generationConfig, ...params.config },
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this._logApiRequest(requestContents, this.model);
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const startTime = Date.now();
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let response: GenerateContentResponse;
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try {
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const apiCall = () =>
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this.contentGenerator.generateContent({
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model: this.model,
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contents: requestContents,
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config: { ...this.generationConfig, ...params.config },
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});
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response = await retryWithBackoff(apiCall);
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const durationMs = Date.now() - startTime;
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await this._logApiResponse(durationMs, response);
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this.sendPromise = (async () => {
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const outputContent = response.candidates?.[0]?.content;
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// Because the AFC input contains the entire curated chat history in
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// addition to the new user input, we need to truncate the AFC history
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// to deduplicate the existing chat history.
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const fullAutomaticFunctionCallingHistory =
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response.automaticFunctionCallingHistory;
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const index = this.getHistory(true).length;
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let automaticFunctionCallingHistory: Content[] = [];
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if (fullAutomaticFunctionCallingHistory != null) {
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automaticFunctionCallingHistory =
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fullAutomaticFunctionCallingHistory.slice(index) ?? [];
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}
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const modelOutput = outputContent ? [outputContent] : [];
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this.recordHistory(
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userContent,
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modelOutput,
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automaticFunctionCallingHistory,
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);
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})();
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await this.sendPromise.catch(() => {
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// Resets sendPromise to avoid subsequent calls failing
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this.sendPromise = Promise.resolve();
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});
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const responsePromise = retryWithBackoff(apiCall);
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this.sendPromise = (async () => {
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const response = await responsePromise;
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const outputContent = response.candidates?.[0]?.content;
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// Because the AFC input contains the entire curated chat history in
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// addition to the new user input, we need to truncate the AFC history
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// to deduplicate the existing chat history.
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const fullAutomaticFunctionCallingHistory =
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response.automaticFunctionCallingHistory;
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const index = this.getHistory(true).length;
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let automaticFunctionCallingHistory: Content[] = [];
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if (fullAutomaticFunctionCallingHistory != null) {
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automaticFunctionCallingHistory =
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fullAutomaticFunctionCallingHistory.slice(index) ?? [];
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}
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const modelOutput = outputContent ? [outputContent] : [];
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this.recordHistory(
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userContent,
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modelOutput,
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automaticFunctionCallingHistory,
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);
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return;
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})();
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await this.sendPromise.catch(() => {
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// Resets sendPromise to avoid subsequent calls failing
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return response;
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} catch (error) {
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const durationMs = Date.now() - startTime;
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this._logApiError(durationMs, error);
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this.sendPromise = Promise.resolve();
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});
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return responsePromise;
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throw error;
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}
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}
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/**
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|
@ -223,38 +307,53 @@ export class GeminiChat {
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): Promise<AsyncGenerator<GenerateContentResponse>> {
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await this.sendPromise;
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const userContent = createUserContent(params.message);
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const requestContents = this.getHistory(true).concat(userContent);
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this._logApiRequest(requestContents, this.model);
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const apiCall = () =>
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this.contentGenerator.generateContentStream({
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model: this.model,
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contents: this.getHistory(true).concat(userContent),
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config: { ...this.generationConfig, ...params.config },
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const startTime = Date.now();
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try {
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const apiCall = () =>
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this.contentGenerator.generateContentStream({
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model: this.model,
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contents: requestContents,
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config: { ...this.generationConfig, ...params.config },
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});
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// Note: Retrying streams can be complex. If generateContentStream itself doesn't handle retries
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// for transient issues internally before yielding the async generator, this retry will re-initiate
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// the stream. For simple 429/500 errors on initial call, this is fine.
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// If errors occur mid-stream, this setup won't resume the stream; it will restart it.
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const streamResponse = await retryWithBackoff(apiCall, {
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shouldRetry: (error: Error) => {
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// Check error messages for status codes, or specific error names if known
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if (error && error.message) {
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if (error.message.includes('429')) return true;
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if (error.message.match(/5\d{2}/)) return true;
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}
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return false; // Don't retry other errors by default
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},
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});
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// Note: Retrying streams can be complex. If generateContentStream itself doesn't handle retries
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// for transient issues internally before yielding the async generator, this retry will re-initiate
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// the stream. For simple 429/500 errors on initial call, this is fine.
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// If errors occur mid-stream, this setup won't resume the stream; it will restart it.
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const streamResponse = await retryWithBackoff(apiCall, {
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shouldRetry: (error: Error) => {
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// Check error messages for status codes, or specific error names if known
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if (error && error.message) {
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if (error.message.includes('429')) return true;
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if (error.message.match(/5\d{2}/)) return true;
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}
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return false; // Don't retry other errors by default
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},
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});
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// Resolve the internal tracking of send completion promise - `sendPromise`
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// for both success and failure response. The actual failure is still
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// propagated by the `await streamResponse`.
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this.sendPromise = Promise.resolve(streamResponse)
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.then(() => undefined)
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.catch(() => undefined);
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// Resolve the internal tracking of send completion promise - `sendPromise`
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// for both success and failure response. The actual failure is still
|
||||
// propagated by the `await streamResponse`.
|
||||
this.sendPromise = Promise.resolve(streamResponse)
|
||||
.then(() => undefined)
|
||||
.catch(() => undefined);
|
||||
|
||||
const result = this.processStreamResponse(streamResponse, userContent);
|
||||
return result;
|
||||
const result = this.processStreamResponse(
|
||||
streamResponse,
|
||||
userContent,
|
||||
startTime,
|
||||
);
|
||||
return result;
|
||||
} catch (error) {
|
||||
const durationMs = Date.now() - startTime;
|
||||
this._logApiError(durationMs, error);
|
||||
this.sendPromise = Promise.resolve();
|
||||
throw error;
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
|
@ -311,16 +410,40 @@ export class GeminiChat {
|
|||
private async *processStreamResponse(
|
||||
streamResponse: AsyncGenerator<GenerateContentResponse>,
|
||||
inputContent: Content,
|
||||
startTime: number,
|
||||
) {
|
||||
const outputContent: Content[] = [];
|
||||
for await (const chunk of streamResponse) {
|
||||
if (isValidResponse(chunk)) {
|
||||
const content = chunk.candidates?.[0]?.content;
|
||||
if (content !== undefined) {
|
||||
outputContent.push(content);
|
||||
let lastChunk: GenerateContentResponse | undefined;
|
||||
let errorOccurred = false;
|
||||
|
||||
try {
|
||||
for await (const chunk of streamResponse) {
|
||||
if (isValidResponse(chunk)) {
|
||||
const content = chunk.candidates?.[0]?.content;
|
||||
if (content !== undefined) {
|
||||
outputContent.push(content);
|
||||
}
|
||||
}
|
||||
lastChunk = chunk;
|
||||
yield chunk;
|
||||
}
|
||||
} catch (error) {
|
||||
errorOccurred = true;
|
||||
const durationMs = Date.now() - startTime;
|
||||
this._logApiError(durationMs, error);
|
||||
throw error;
|
||||
}
|
||||
|
||||
if (!errorOccurred && lastChunk) {
|
||||
const durationMs = Date.now() - startTime;
|
||||
const allParts: Part[] = [];
|
||||
for (const content of outputContent) {
|
||||
if (content.parts) {
|
||||
allParts.push(...content.parts);
|
||||
}
|
||||
}
|
||||
yield chunk;
|
||||
const fullText = getResponseTextFromParts(allParts);
|
||||
await this._logApiResponse(durationMs, lastChunk, fullText);
|
||||
}
|
||||
this.recordHistory(inputContent, outputContent);
|
||||
}
|
||||
|
|
|
@ -8,8 +8,13 @@ import { ToolConfirmationOutcome } from '../index.js';
|
|||
import { logs } from '@opentelemetry/api-logs';
|
||||
import { SemanticAttributes } from '@opentelemetry/semantic-conventions';
|
||||
import { Config } from '../config/config.js';
|
||||
import { EVENT_API_RESPONSE, EVENT_USER_PROMPT } from './constants.js';
|
||||
import {
|
||||
EVENT_API_REQUEST,
|
||||
EVENT_API_RESPONSE,
|
||||
EVENT_USER_PROMPT,
|
||||
} from './constants.js';
|
||||
import {
|
||||
logApiRequest,
|
||||
logApiResponse,
|
||||
logCliConfiguration,
|
||||
logUserPrompt,
|
||||
|
@ -167,7 +172,7 @@ describe('loggers', () => {
|
|||
model: 'test-model',
|
||||
status_code: 200,
|
||||
duration_ms: 100,
|
||||
attempt: 1,
|
||||
input_token_count: 17,
|
||||
output_token_count: 50,
|
||||
cached_content_token_count: 10,
|
||||
thoughts_token_count: 5,
|
||||
|
@ -187,7 +192,7 @@ describe('loggers', () => {
|
|||
model: 'test-model',
|
||||
status_code: 200,
|
||||
duration_ms: 100,
|
||||
attempt: 1,
|
||||
input_token_count: 17,
|
||||
output_token_count: 50,
|
||||
cached_content_token_count: 10,
|
||||
thoughts_token_count: 5,
|
||||
|
@ -216,8 +221,8 @@ describe('loggers', () => {
|
|||
const event = {
|
||||
model: 'test-model',
|
||||
duration_ms: 100,
|
||||
attempt: 1,
|
||||
error: 'test-error',
|
||||
input_token_count: 17,
|
||||
output_token_count: 50,
|
||||
cached_content_token_count: 10,
|
||||
thoughts_token_count: 5,
|
||||
|
@ -240,6 +245,78 @@ describe('loggers', () => {
|
|||
});
|
||||
});
|
||||
|
||||
describe('logApiRequest', () => {
|
||||
const mockConfig = {
|
||||
getSessionId: () => 'test-session-id',
|
||||
} as Config;
|
||||
|
||||
const mockMetrics = {
|
||||
recordTokenUsageMetrics: vi.fn(),
|
||||
};
|
||||
|
||||
beforeEach(() => {
|
||||
vi.spyOn(metrics, 'recordTokenUsageMetrics').mockImplementation(
|
||||
mockMetrics.recordTokenUsageMetrics,
|
||||
);
|
||||
});
|
||||
|
||||
it('should log an API request with request_text', () => {
|
||||
const event = {
|
||||
model: 'test-model',
|
||||
input_token_count: 123,
|
||||
request_text: 'This is a test request',
|
||||
};
|
||||
|
||||
logApiRequest(mockConfig, event);
|
||||
|
||||
expect(mockLogger.emit).toHaveBeenCalledWith({
|
||||
body: 'API request to test-model. Tokens: 123.',
|
||||
attributes: {
|
||||
'session.id': 'test-session-id',
|
||||
'event.name': EVENT_API_REQUEST,
|
||||
'event.timestamp': '2025-01-01T00:00:00.000Z',
|
||||
model: 'test-model',
|
||||
input_token_count: 123,
|
||||
request_text: 'This is a test request',
|
||||
},
|
||||
});
|
||||
|
||||
expect(mockMetrics.recordTokenUsageMetrics).toHaveBeenCalledWith(
|
||||
mockConfig,
|
||||
'test-model',
|
||||
123,
|
||||
'input',
|
||||
);
|
||||
});
|
||||
|
||||
it('should log an API request without request_text', () => {
|
||||
const event = {
|
||||
model: 'test-model',
|
||||
input_token_count: 456,
|
||||
};
|
||||
|
||||
logApiRequest(mockConfig, event);
|
||||
|
||||
expect(mockLogger.emit).toHaveBeenCalledWith({
|
||||
body: 'API request to test-model. Tokens: 456.',
|
||||
attributes: {
|
||||
'session.id': 'test-session-id',
|
||||
'event.name': EVENT_API_REQUEST,
|
||||
'event.timestamp': '2025-01-01T00:00:00.000Z',
|
||||
model: 'test-model',
|
||||
input_token_count: 456,
|
||||
},
|
||||
});
|
||||
|
||||
expect(mockMetrics.recordTokenUsageMetrics).toHaveBeenCalledWith(
|
||||
mockConfig,
|
||||
'test-model',
|
||||
456,
|
||||
'input',
|
||||
);
|
||||
});
|
||||
});
|
||||
|
||||
describe('logToolCall', () => {
|
||||
const mockConfig = {
|
||||
getSessionId: () => 'test-session-id',
|
||||
|
|
|
@ -29,8 +29,8 @@ export interface ApiRequestEvent {
|
|||
'event.name': 'api_request';
|
||||
'event.timestamp': string; // ISO 8601
|
||||
model: string;
|
||||
duration_ms: number;
|
||||
input_token_count: number;
|
||||
request_text?: string;
|
||||
}
|
||||
|
||||
export interface ApiErrorEvent {
|
||||
|
@ -41,7 +41,6 @@ export interface ApiErrorEvent {
|
|||
error_type?: string;
|
||||
status_code?: number | string;
|
||||
duration_ms: number;
|
||||
attempt: number;
|
||||
}
|
||||
|
||||
export interface ApiResponseEvent {
|
||||
|
@ -51,7 +50,7 @@ export interface ApiResponseEvent {
|
|||
status_code?: number | string;
|
||||
duration_ms: number;
|
||||
error?: string;
|
||||
attempt: number;
|
||||
input_token_count: number;
|
||||
output_token_count: number;
|
||||
cached_content_token_count: number;
|
||||
thoughts_token_count: number;
|
||||
|
|
|
@ -0,0 +1,15 @@
|
|||
/**
|
||||
* @license
|
||||
* Copyright 2025 Google LLC
|
||||
* SPDX-License-Identifier: Apache-2.0
|
||||
*/
|
||||
|
||||
import { Content } from '@google/genai';
|
||||
|
||||
export function getRequestTextFromContents(contents: Content[]): string {
|
||||
return contents
|
||||
.flatMap((content) => content.parts ?? [])
|
||||
.map((part) => part.text)
|
||||
.filter(Boolean)
|
||||
.join('');
|
||||
}
|
Loading…
Reference in New Issue