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* Claude runtime adapter.
*
* This module is the only place where Warden's runtime layer should know about
* the Claude Agent SDK or Anthropic Messages API. It translates Warden's
* generic runtime requests into Claude calls, keeps Claude-specific tool policy
* and process options local, emits Claude/OpenTelemetry spans, and normalizes
* Claude result messages into the shared runtime result.
*
* Important invariants:
* - Claude receives only read-only tools for hunk analysis.
* - Mutating tools are available only to trusted internal writer tasks that
* opt in at the runtime request boundary.
* - SDK errors remain classifiable by downstream retry/auth logic.
* - Runtime results always contain valid `UsageStats`.
* - Claude-specific result subtypes normalize to Warden-owned statuses.
*/
import type Anthropic from '@anthropic-ai/sdk';
import { query, type SDKResultMessage } from '@anthropic-ai/claude-agent-sdk';
import type { ToolConfig, ToolName } from '../../config/schema.js';
import { Sentry } from '../../sentry.js';
import { callHaiku, callHaikuWithTools } from '../haiku.js';
import {
setGenAiInputMessagesAttr,
setGenAiOutputMessagesAttr,
setGenAiSystemInstructionsAttr,
setGenAiUsageAttrs,
} from '../otel.js';
import { apiUsageToStats } from '../pricing.js';
import { aggregateUsage, emptyUsage, estimateTokens, extractUsage } from '../usage.js';
import type {
AuxiliaryRunRequest,
AuxiliaryRunResult,
AuxiliaryTask,
AuxiliaryTool,
Runtime,
SynthesisTask,
SynthesisRunRequest,
SkillRunRequest,
SkillRunResponse,
SkillRunResult,
SkillRunStatus,
} from './types.js';
/** Buffered data for a single SDK turn, flushed into gen_ai.chat child spans. */
interface TurnData {
toolUses: { id: string; name: string }[];
inputTokens: number;
outputTokens: number;
cacheRead: number;
cacheWrite: number;
cacheWrite5m: number;
cacheWrite1h: number;
webSearchRequests: number;
model: string;
}
interface ClaudeProviderOptions {
pathToClaudeCodeExecutable?: string;
}
const DEFAULT_READ_ONLY_TOOLS: ToolName[] = ['Read', 'Grep', 'Glob'];
const READ_ONLY_TOOLS: ToolName[] = ['Read', 'Grep', 'Glob', 'WebFetch', 'WebSearch'];
const MUTATING_TOOLS = ['Write', 'Edit', 'Bash'] as const;
const CLAUDE_AGENT_TOOLS = ['Task', 'TodoWrite'] as const;
function getClaudeProviderOptions(providerOptions: unknown): ClaudeProviderOptions {
if (!providerOptions || typeof providerOptions !== 'object') {
return {};
}
const { pathToClaudeCodeExecutable } = providerOptions as { pathToClaudeCodeExecutable?: unknown };
return {
pathToClaudeCodeExecutable: typeof pathToClaudeCodeExecutable === 'string'
? pathToClaudeCodeExecutable
: undefined,
};
}
function missingApiKeyResult<T>(kind: 'auxiliary' | 'synthesis'): AuxiliaryRunResult<T> {
return {
success: false,
error: `Anthropic API key required for Claude ${kind} runtime`,
usage: emptyUsage(),
};
}
function resolveClaudeSkillTools(
tools: ToolConfig | undefined,
allowMutatingTools = false,
): {
allowedTools: string[];
disallowedTools: string[];
} {
const denied = new Set(tools?.denied ?? []);
const requested = tools?.allowed ?? DEFAULT_READ_ONLY_TOOLS;
const availableTools = allowMutatingTools
? [...READ_ONLY_TOOLS, ...MUTATING_TOOLS]
: READ_ONLY_TOOLS;
const allowedTools = availableTools.filter((tool) => requested.includes(tool) && !denied.has(tool));
const disallowedAvailableTools = availableTools.filter((tool) => !allowedTools.includes(tool));
const disallowedMutatingTools = allowMutatingTools ? [] : [...MUTATING_TOOLS];
return {
allowedTools,
disallowedTools: [...disallowedMutatingTools, ...disallowedAvailableTools, ...CLAUDE_AGENT_TOOLS],
};
}
async function runStructured<T>(
request: {
kind: 'auxiliary' | 'synthesis';
task?: AuxiliaryTask | SynthesisTask;
agentName?: string;
apiKey?: string;
prompt: string;
schema: SynthesisRunRequest<T>['schema'];
model?: string;
maxTokens?: number;
timeout?: number;
maxRetries?: number;
tools?: AuxiliaryTool[];
executeTool?: (name: string, input: Record<string, unknown>) => Promise<string>;
maxIterations?: number;
}
): Promise<AuxiliaryRunResult<T>> {
if (!request.apiKey) {
return missingApiKeyResult(request.kind);
}
Iif (request.tools) {
return callHaikuWithTools({
apiKey: request.apiKey,
prompt: request.prompt,
schema: request.schema,
tools: request.tools.map(toAnthropicTool),
executeTool: request.executeTool ?? (async () => ''),
agentName: request.agentName,
task: request.task,
model: request.model,
maxTokens: request.maxTokens,
maxIterations: request.maxIterations,
timeout: request.timeout,
maxRetries: request.maxRetries,
});
}
return callHaiku({
apiKey: request.apiKey,
prompt: request.prompt,
schema: request.schema,
agentName: request.agentName,
task: request.task,
model: request.model,
maxTokens: request.maxTokens,
timeout: request.timeout,
maxRetries: request.maxRetries,
});
}
function toAnthropicTool(tool: AuxiliaryTool): Anthropic.Tool {
return {
name: tool.name,
description: tool.description ?? '',
input_schema: tool.inputSchema as Anthropic.Tool.InputSchema,
};
}
function singleResponseModel(modelUsage: SDKResultMessage['modelUsage'] | undefined): string | undefined {
const models = Object.keys(modelUsage ?? {});
return models.length === 1 ? models[0] : undefined;
}
function statusFromClaudeSubtype(subtype: SDKResultMessage['subtype']): SkillRunStatus {
switch (subtype) {
case 'success':
return 'success';
case 'error_max_turns':
return 'turn_limit';
case 'error_max_budget_usd':
return 'budget_limit';
case 'error_max_structured_output_retries':
return 'structured_output_error';
case 'error_during_execution':
return 'provider_error';
default:
return 'provider_error';
}
}
function turnUsageToStats(turn: TurnData) {
return apiUsageToStats(turn.model, {
input_tokens: turn.inputTokens,
output_tokens: turn.outputTokens,
cache_read_input_tokens: turn.cacheRead,
cache_creation_input_tokens: turn.cacheWrite,
cache_creation: {
ephemeral_5m_input_tokens: turn.cacheWrite5m,
ephemeral_1h_input_tokens: turn.cacheWrite1h,
},
server_tool_use: {
web_search_requests: turn.webSearchRequests,
},
});
}
function reconcileStreamedUsage(args: {
result: SDKResultMessage;
streamedUsage?: ReturnType<typeof turnUsageToStats>;
responseModel?: string;
}): ReturnType<typeof turnUsageToStats> | undefined {
const { result, streamedUsage, responseModel } = args;
if (!streamedUsage) {
return undefined;
}
const resultUsage = extractUsage(result);
const resultTextTokens = result.subtype === 'success'
? estimateTokens(result.result.length)
: 0;
const outputTokens = Math.max(
streamedUsage.outputTokens,
resultUsage.outputTokens,
resultTextTokens,
);
const missingOutputTokens = outputTokens - streamedUsage.outputTokens;
if (missingOutputTokens <= 0 || !responseModel) {
return streamedUsage;
}
return aggregateUsage([
streamedUsage,
apiUsageToStats(responseModel, {
input_tokens: 0,
output_tokens: missingOutputTokens,
}),
]);
}
function normalizeResult(
result: SDKResultMessage,
usage?: ReturnType<typeof turnUsageToStats>,
responseModel?: string,
): SkillRunResult {
const errors = 'errors' in result ? result.errors : [];
return {
status: statusFromClaudeSubtype(result.subtype),
text: result.subtype === 'success' ? result.result : '',
errors,
usage: usage ?? extractUsage(result),
responseId: result.uuid,
responseModel: responseModel ?? singleResponseModel(result.modelUsage),
sessionId: result.session_id,
durationMs: result.duration_ms,
durationApiMs: result.duration_api_ms,
numTurns: result.num_turns,
};
}
function appendClaudeStderr(error: unknown, stderr: string): unknown {
const originalMessage = error instanceof Error ? error.message : String(error);
const message = `${originalMessage}\nClaude Code stderr: ${stderr}`;
Eif (error instanceof Error) {
try {
error.message = message;
(error as Error & { claudeStderr?: string }).claudeStderr = stderr;
return error;
} catch {
const enhancedError = new Error(message);
enhancedError.cause = error;
return enhancedError;
}
}
return new Error(message);
}
export const claudeRuntime: Runtime = {
name: 'claude',
async runSkill(request: SkillRunRequest): Promise<SkillRunResponse> {
const {
systemPrompt,
userPrompt,
repoPath,
options,
skillName,
providerOptions,
tools,
allowMutatingTools,
} = request;
const { maxTurns = 50, model, abortController } = options;
const { pathToClaudeCodeExecutable } = getClaudeProviderOptions(providerOptions);
const skillTools = resolveClaudeSkillTools(tools, allowMutatingTools);
const modelId = model ?? 'unknown';
return Sentry.startSpan(
{
op: 'gen_ai.invoke_agent',
name: `invoke_agent ${skillName}`,
attributes: {
'gen_ai.operation.name': 'invoke_agent',
'gen_ai.provider.name': 'anthropic',
'gen_ai.agent.name': skillName,
'gen_ai.request.model': modelId,
'warden.request.max_turns': maxTurns,
},
},
async (span) => {
setGenAiSystemInstructionsAttr(span, systemPrompt);
setGenAiInputMessagesAttr(span, [{ role: 'user', content: userPrompt }]);
const stderrChunks: string[] = [];
const stream = query({
prompt: userPrompt,
options: {
maxTurns,
cwd: repoPath,
systemPrompt,
// Hunk analysis is read-only; trusted internal writer tasks may opt
// into mutating tools explicitly at the runtime request boundary.
allowedTools: skillTools.allowedTools,
disallowedTools: skillTools.disallowedTools,
permissionMode: 'bypassPermissions',
// Prevent SDK from writing session .jsonl files and polluting Claude Code's session index.
persistSession: false,
model,
abortController,
pathToClaudeCodeExecutable,
stderr: (data: string) => {
stderrChunks.push(data);
},
},
});
let resultMessage: SDKResultMessage | undefined;
let authError: string | undefined;
// Per-turn tracing: buffer assistant messages and tool progress to create
// child spans (gen_ai.chat + gen_ai.execute_tool) under the invoke_agent span.
let turnCount = 0;
let pendingTurn: TurnData | null = null;
const turnUsages: ReturnType<typeof turnUsageToStats>[] = [];
const responseModels = new Set<string>();
const pendingToolProgress = new Map<string, number>();
function flushPendingTurn(): void {
if (!pendingTurn) return;
turnCount++;
const turn = pendingTurn;
const toolProgress = new Map(pendingToolProgress);
pendingTurn = null;
pendingToolProgress.clear();
turnUsages.push(turnUsageToStats(turn));
responseModels.add(turn.model);
try {
const totalInput = turn.inputTokens + turn.cacheRead + turn.cacheWrite;
Sentry.startSpan(
{
op: 'gen_ai.chat',
name: `chat ${skillName} turn ${turnCount}`,
attributes: {
'gen_ai.operation.name': 'chat',
'gen_ai.provider.name': 'anthropic',
'gen_ai.agent.name': skillName,
'gen_ai.request.model': modelId,
'gen_ai.response.model': turn.model,
'gen_ai.usage.input_tokens': totalInput,
'gen_ai.usage.output_tokens': turn.outputTokens,
'gen_ai.usage.input_tokens.cached': turn.cacheRead,
'gen_ai.usage.input_tokens.cache_write': turn.cacheWrite,
'gen_ai.usage.total_tokens': totalInput + turn.outputTokens,
},
},
() => {
for (const toolUse of turn.toolUses) {
const elapsed = toolProgress.get(toolUse.id);
const attributes = {
'gen_ai.operation.name': 'execute_tool',
'gen_ai.agent.name': skillName,
'gen_ai.tool.name': toolUse.name,
};
if (elapsed !== undefined) {
const endTime = Date.now() / 1000;
const parentSpan = Sentry.getActiveSpan();
const span = Sentry.startInactiveSpan({
op: 'gen_ai.execute_tool',
name: toolUse.name,
...(parentSpan && { parentSpan }),
startTime: Math.max(0, endTime - elapsed),
attributes,
});
span.end(endTime);
} else {
Sentry.startSpan(
{
op: 'gen_ai.execute_tool',
name: toolUse.name,
attributes,
},
() => undefined
);
}
}
}
);
} catch {
// Telemetry should never break the workflow.
}
}
try {
for await (const message of stream) {
if (message.type === 'assistant') {
flushPendingTurn();
const msg = message.message;
const cacheWrite5m = msg.usage?.cache_creation?.ephemeral_5m_input_tokens ?? 0;
const cacheWrite1h = msg.usage?.cache_creation?.ephemeral_1h_input_tokens ?? 0;
const toolUses = msg.content
.filter((block): block is typeof block & { type: 'tool_use' } => block.type === 'tool_use')
.map(({ id, name }) => ({ id, name }));
pendingTurn = {
toolUses,
inputTokens: msg.usage?.input_tokens ?? 0,
outputTokens: msg.usage?.output_tokens ?? 0,
cacheRead: msg.usage?.cache_read_input_tokens ?? 0,
cacheWrite: Math.max(msg.usage?.cache_creation_input_tokens ?? 0, cacheWrite5m + cacheWrite1h),
cacheWrite5m,
cacheWrite1h,
webSearchRequests: msg.usage?.server_tool_use?.web_search_requests ?? 0,
model: msg.model,
};
I} else if (message.type === 'tool_progress') {
pendingToolProgress.set(message.tool_use_id, message.elapsed_time_seconds);
} else if (message.type === 'result') {
flushPendingTurn();
resultMessage = message;
E} else if (message.type === 'auth_status' && message.error) {
authError = message.error;
}
}
} catch (error) {
const stderr = stderrChunks.join('').trim();
Eif (stderr) {
throw appendClaudeStderr(error, stderr);
}
throw error;
} finally {
flushPendingTurn();
}
if (resultMessage) {
const usage = resultMessage.usage;
if (usage) {
const inputTokens = usage.input_tokens ?? 0;
const outputTokens = usage.output_tokens ?? 0;
const cacheRead = usage.cache_read_input_tokens ?? 0;
const cacheWrite5m = usage.cache_creation?.ephemeral_5m_input_tokens ?? 0;
const cacheWrite1h = usage.cache_creation?.ephemeral_1h_input_tokens ?? 0;
const cacheWrite = Math.max(usage.cache_creation_input_tokens ?? 0, cacheWrite5m + cacheWrite1h);
const totalInputTokens = inputTokens + cacheRead + cacheWrite;
setGenAiUsageAttrs(span, {
inputTokens: totalInputTokens,
outputTokens,
cacheReadInputTokens: cacheRead,
cacheCreationInputTokens: cacheWrite,
cacheCreation5mInputTokens: cacheWrite5m,
cacheCreation1hInputTokens: cacheWrite1h,
webSearchRequests: usage.server_tool_use?.web_search_requests ?? 0,
costUSD: resultMessage.total_cost_usd ?? 0,
});
}
Eif (resultMessage.uuid) {
span.setAttribute('gen_ai.response.id', resultMessage.uuid);
}
if (resultMessage.modelUsage) {
const responseModel = singleResponseModel(resultMessage.modelUsage);
Eif (responseModel) {
span.setAttribute('gen_ai.response.model', responseModel);
}
}
if (resultMessage.subtype === 'success' && resultMessage.result) {
setGenAiOutputMessagesAttr(span, resultMessage.result);
E} else if (resultMessage.subtype !== 'success') {
span.setAttribute('error.type', resultMessage.subtype);
}
const optionalAttrs: Record<string, string | number | undefined> = {
'gen_ai.conversation.id': resultMessage.session_id,
'warden.sdk.duration_ms': resultMessage.duration_ms,
'warden.sdk.duration_api_ms': resultMessage.duration_api_ms,
'warden.sdk.num_turns': resultMessage.num_turns,
};
for (const [key, value] of Object.entries(optionalAttrs)) {
Eif (value !== undefined) {
span.setAttribute(key, value);
}
}
}
const stderr = stderrChunks.join('').trim() || undefined;
const streamedUsage = turnUsages.length > 0 ? aggregateUsage(turnUsages) : undefined;
const responseModel = responseModels.size === 1 ? [...responseModels][0] : undefined;
return {
result: resultMessage
? normalizeResult(
resultMessage,
reconcileStreamedUsage({
result: resultMessage,
streamedUsage,
responseModel,
}),
responseModel,
)
: undefined,
authError,
stderr,
};
},
);
},
async runAuxiliary<T>(request: AuxiliaryRunRequest<T>): Promise<AuxiliaryRunResult<T>> {
return runStructured({ kind: 'auxiliary', ...request });
},
async runSynthesis<T>(request: SynthesisRunRequest<T>): Promise<AuxiliaryRunResult<T>> {
return runStructured({ kind: 'synthesis', ...request });
},
};
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