langsmith
Version:
Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.
222 lines (221 loc) • 9.24 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.populateToolCallsForTracing = void 0;
exports.LangSmithMiddleware = LangSmithMiddleware;
const traceable_js_1 = require("../../traceable.cjs");
const vercel_js_1 = require("../../utils/vercel.cjs");
const populateToolCallsForTracing = (message) => {
const formattedMessage = {
...message,
};
if (formattedMessage.role !== "assistant") {
return formattedMessage;
}
if (Array.isArray(formattedMessage.content)) {
const toolCalls = formattedMessage.content
.filter((block) => {
return (block != null &&
typeof block === "object" &&
block.type == "tool-call");
})
.map((block) => {
return {
id: block.toolCallId,
type: "function",
function: {
name: block.toolName,
arguments: typeof block.input !== "string"
? JSON.stringify(block.input)
: block.input,
},
};
});
if (toolCalls.length > 0) {
formattedMessage.tool_calls = toolCalls;
}
}
return formattedMessage;
};
exports.populateToolCallsForTracing = populateToolCallsForTracing;
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const _formatTracedInputs = (params) => {
const { prompt, ...rest } = params;
if (prompt == null) {
return params;
}
if (Array.isArray(prompt)) {
return { ...rest, messages: prompt.map(exports.populateToolCallsForTracing) };
}
return rest;
};
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const _formatTracedOutputs = (outputs) => {
const { request, response, ...rest } = outputs;
const formattedOutputs = { ...rest };
if (formattedOutputs.role == null) {
formattedOutputs.role = formattedOutputs.type ?? "assistant";
}
return (0, exports.populateToolCallsForTracing)(formattedOutputs);
};
const setUsageMetadataOnRunTree = (result, runTree) => {
if (result.usage == null || typeof result.usage !== "object") {
return;
}
const langsmithUsage = {
input_tokens: result.usage?.inputTokens,
output_tokens: result.usage?.outputTokens,
total_tokens: result.usage?.totalTokens,
};
const inputTokenDetails = (0, vercel_js_1.extractInputTokenDetails)(result.providerMetadata ?? {}, result.usage?.cachedInputTokens);
const outputTokenDetails = (0, vercel_js_1.extractOutputTokenDetails)(result.usage?.reasoningTokens);
runTree.extra = {
...runTree.extra,
metadata: {
...runTree.extra?.metadata,
usage_metadata: {
...langsmithUsage,
input_token_details: {
...inputTokenDetails,
},
output_token_details: {
...outputTokenDetails,
},
},
},
};
};
/**
* AI SDK middleware that wraps an AI SDK 5 model and adds LangSmith tracing.
*/
function LangSmithMiddleware(config) {
const { name, modelId, lsConfig } = config ?? {};
return {
wrapGenerate: async ({ doGenerate, params }) => {
const traceableFunc = (0, traceable_js_1.traceable)(async (_params) => {
const result = await doGenerate();
const currentRunTree = (0, traceable_js_1.getCurrentRunTree)(true);
if (currentRunTree !== undefined) {
setUsageMetadataOnRunTree(result, currentRunTree);
}
return result;
}, {
...lsConfig,
name: name ?? "ai.doGenerate",
run_type: "llm",
metadata: {
ls_model_name: modelId,
ai_sdk_method: "ai.doGenerate",
...lsConfig?.metadata,
},
processInputs: (inputs) => {
const typedInputs = inputs;
return _formatTracedInputs(typedInputs);
},
processOutputs: (outputs) => {
const typedOutputs = outputs;
return _formatTracedOutputs(typedOutputs);
},
});
return traceableFunc(params);
},
wrapStream: async ({ doStream, params }) => {
const parentRunTree = (0, traceable_js_1.getCurrentRunTree)(true);
let runTree;
if (parentRunTree != null &&
typeof parentRunTree === "object" &&
typeof parentRunTree.createChild === "function") {
runTree = parentRunTree?.createChild({
...lsConfig,
name: name ?? "ai.doStream",
run_type: "llm",
metadata: {
ls_model_name: modelId,
ai_sdk_method: "ai.doStream",
...lsConfig?.metadata,
},
inputs: _formatTracedInputs(params),
});
}
await runTree?.postRun();
try {
const { stream, ...rest } = await doStream();
const chunks = [];
const transformStream = new TransformStream({
async transform(chunk, controller) {
chunks.push(chunk);
controller.enqueue(chunk);
},
async flush() {
try {
const output = chunks.reduce((aggregated, chunk) => {
if (chunk.type === "text-delta") {
if (chunk.delta == null) {
return aggregated;
}
return {
...aggregated,
content: aggregated.content + chunk.delta,
};
}
else if (chunk.type === "tool-call") {
const matchingToolCall = aggregated.tool_calls.find((call) => call.id === chunk.toolCallId);
if (matchingToolCall != null) {
return aggregated;
}
return {
...aggregated,
tool_calls: [
...aggregated.tool_calls,
{
id: chunk.toolCallId,
type: "function",
function: {
name: chunk.toolName,
arguments: chunk.input,
},
},
],
};
}
else if (chunk.type === "finish") {
if (runTree != null) {
setUsageMetadataOnRunTree(chunk, runTree);
}
return {
...aggregated,
providerMetadata: chunk.providerMetadata,
finishReason: chunk.finishReason,
};
}
else {
return aggregated;
}
}, {
content: "",
// eslint-disable-next-line @typescript-eslint/no-explicit-any
tool_calls: [],
});
await runTree?.end(_formatTracedOutputs(output));
}
catch (error) {
await runTree?.end(undefined, error.message ?? String(error));
throw error;
}
finally {
await runTree?.patchRun();
}
},
});
return {
stream: stream.pipeThrough(transformStream),
...rest,
};
}
catch (error) {
await runTree?.end(undefined, error.message ?? String(error));
await runTree?.patchRun();
throw error;
}
},
};
}