langsmith - npm Package Compare versions

Comparing version 0.1.62 to 0.1.63

dist/index.d.ts

@@ -5,2 +5,2 @@ export { Client, type ClientConfig } from "./client.js";
 export { overrideFetchImplementation } from "./singletons/fetch.js";
-export declare const __version__ = "0.1.62";
+export declare const __version__ = "0.1.63";

dist/index.js

@@ -5,2 +5,2 @@ export { Client } from "./client.js";
 // Update using yarn bump-version
-export const __version__ = "0.1.62";
+export const __version__ = "0.1.63";

dist/wrappers/openai.d.ts

@@ -5,2 +5,9 @@ import { OpenAI } from "openai";
 type OpenAIType = {
+    beta?: {
+        chat?: {
+            completions?: {
+                parse?: (...args: any[]) => any;
+            };
+        };
+    };
     chat: {
@@ -7,0 +14,0 @@ completions: {

dist/wrappers/openai.js

@@ -142,49 +142,99 @@ import { isTraceableFunction, traceable } from "../traceable.js";
     }
-    openai.chat.completions.create = traceable(openai.chat.completions.create.bind(openai.chat.completions), {
-        name: "ChatOpenAI",
-        run_type: "llm",
-        aggregator: chatAggregator,
-        argsConfigPath: [1, "langsmithExtra"],
-        getInvocationParams: (payload) => {
-            if (typeof payload !== "object" || payload == null)
-                return undefined;
-            // we can safely do so, as the types are not exported in TSC
-            const params = payload;
-            const ls_stop = (typeof params.stop === "string" ? [params.stop] : params.stop) ??
-                undefined;
-            return {
-                ls_provider: "openai",
-                ls_model_type: "chat",
-                ls_model_name: params.model,
-                ls_max_tokens: params.max_tokens ?? undefined,
-                ls_temperature: params.temperature ?? undefined,
-                ls_stop,
-            };
+    // Some internal OpenAI methods call each other, so we need to preserve original
+    // OpenAI methods.
+    const tracedOpenAIClient = { ...openai };
+    if (openai.beta &&
+        openai.beta.chat &&
+        openai.beta.chat.completions &&
+        typeof openai.beta.chat.completions.parse === "function") {
+        tracedOpenAIClient.beta = {
+            ...openai.beta,
+            chat: {
+                ...openai.beta.chat,
+                completions: {
+                    ...openai.beta.chat.completions,
+                    parse: traceable(openai.beta.chat.completions.parse.bind(openai.beta.chat.completions), {
+                        name: "ChatOpenAI",
+                        run_type: "llm",
+                        aggregator: chatAggregator,
+                        argsConfigPath: [1, "langsmithExtra"],
+                        getInvocationParams: (payload) => {
+                            if (typeof payload !== "object" || payload == null)
+                                return undefined;
+                            // we can safely do so, as the types are not exported in TSC
+                            const params = payload;
+                            const ls_stop = (typeof params.stop === "string"
+                                ? [params.stop]
+                                : params.stop) ?? undefined;
+                            return {
+                                ls_provider: "openai",
+                                ls_model_type: "chat",
+                                ls_model_name: params.model,
+                                ls_max_tokens: params.max_tokens ?? undefined,
+                                ls_temperature: params.temperature ?? undefined,
+                                ls_stop,
+                            };
+                        },
+                        ...options,
+                    }),
+                },
+            },
+        };
+    }
+    tracedOpenAIClient.chat = {
+        ...openai.chat,
+        completions: {
+            ...openai.chat.completions,
+            create: traceable(openai.chat.completions.create.bind(openai.chat.completions), {
+                name: "ChatOpenAI",
+                run_type: "llm",
+                aggregator: chatAggregator,
+                argsConfigPath: [1, "langsmithExtra"],
+                getInvocationParams: (payload) => {
+                    if (typeof payload !== "object" || payload == null)
+                        return undefined;
+                    // we can safely do so, as the types are not exported in TSC
+                    const params = payload;
+                    const ls_stop = (typeof params.stop === "string" ? [params.stop] : params.stop) ??
+                        undefined;
+                    return {
+                        ls_provider: "openai",
+                        ls_model_type: "chat",
+                        ls_model_name: params.model,
+                        ls_max_tokens: params.max_tokens ?? undefined,
+                        ls_temperature: params.temperature ?? undefined,
+                        ls_stop,
+                    };
+                },
+                ...options,
+            }),
         },
-        ...options,
-    });
-    openai.completions.create = traceable(openai.completions.create.bind(openai.completions), {
-        name: "OpenAI",
-        run_type: "llm",
-        aggregator: textAggregator,
-        argsConfigPath: [1, "langsmithExtra"],
-        getInvocationParams: (payload) => {
-            if (typeof payload !== "object" || payload == null)
-                return undefined;
-            // we can safely do so, as the types are not exported in TSC
-            const params = payload;
-            const ls_stop = (typeof params.stop === "string" ? [params.stop] : params.stop) ??
-                undefined;
-            return {
-                ls_provider: "openai",
-                ls_model_type: "llm",
-                ls_model_name: params.model,
-                ls_max_tokens: params.max_tokens ?? undefined,
-                ls_temperature: params.temperature ?? undefined,
-                ls_stop,
-            };
-        },
-        ...options,
-    });
-    return openai;
+    };
+    tracedOpenAIClient.completions = {
+        ...openai.completions,
+        create: traceable(openai.completions.create.bind(openai.completions), {
+            name: "OpenAI",
+            run_type: "llm",
+            aggregator: textAggregator,
+            argsConfigPath: [1, "langsmithExtra"],
+            getInvocationParams: (payload) => {
+                if (typeof payload !== "object" || payload == null)
+                    return undefined;
+                // we can safely do so, as the types are not exported in TSC
+                const params = payload;
+                const ls_stop = (typeof params.stop === "string" ? [params.stop] : params.stop) ??
+                    undefined;
+                return {
+                    ls_provider: "openai",
+                    ls_model_type: "llm",
+                    ls_model_name: params.model,
+                    ls_max_tokens: params.max_tokens ?? undefined,
+                    ls_temperature: params.temperature ?? undefined,
+                    ls_stop,
+                };
+            },
+            ...options,
+        }),
+    };
+    return tracedOpenAIClient;
 };

package.json

 {
   "name": "langsmith",
-  "version": "0.1.62",
+  "version": "0.1.63",
   "description": "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.",
@@ -130,3 +130,3 @@ "packageManager": "yarn@1.22.19",
     "langchain": "^0.3.2",
-    "openai": "^4.38.5",
+    "openai": "^4.67.3",
     "prettier": "^2.8.8",
@@ -133,0 +133,0 @@ "ts-jest": "^29.1.0",

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Improved metrics

Total package byte prevSize

672584

increased by0.74%

Lines of code

17775

increased by0.61%

No dependency changes