From d0275ff3b91d87d05a72c98001a49222e3cba348 Mon Sep 17 00:00:00 2001
From: Dimitri Kennedy <dimitrikennedy@gmail.com>
Date: Mon, 25 Mar 2024 19:52:23 -0400
Subject: [PATCH] adding basic support for. anthropic (#144)

---
 .changeset/itchy-trains-relax.md |   5 +
 .github/workflows/test-pr.yml    |   1 +
 .github/workflows/test.yml       |   1 +
 .vscode/launch.json              |  36 +++++
 bun.lockb                        | Bin 274805 -> 286599 bytes
 package.json                     |  17 +--
 src/constants/providers.ts       |  15 +-
 src/dsl/validator.ts             |  10 +-
 src/index.ts                     |   4 +-
 src/instructor.ts                |  60 +++++---
 src/types/index.ts               |  65 +++++++--
 tests/anthropic.test.ts          | 236 +++++++++++++++++++++++++++++++
 tests/inference.test.ts          |   4 +-
 tests/mode.test.ts               |   1 +
 14 files changed, 404 insertions(+), 51 deletions(-)
 create mode 100644 .changeset/itchy-trains-relax.md
 create mode 100644 .vscode/launch.json
 create mode 100644 tests/anthropic.test.ts

diff --git a/.changeset/itchy-trains-relax.md b/.changeset/itchy-trains-relax.md
new file mode 100644
index 00000000..45383351
--- /dev/null
+++ b/.changeset/itchy-trains-relax.md
@@ -0,0 +1,5 @@
+---
+"@instructor-ai/instructor": major
+---
+
+updating all types to better support non openai clients - this changes some of the previously exported types and adds a few new ones
diff --git a/.github/workflows/test-pr.yml b/.github/workflows/test-pr.yml
index e3da2477..c67ed6b8 100644
--- a/.github/workflows/test-pr.yml
+++ b/.github/workflows/test-pr.yml
@@ -21,6 +21,7 @@ jobs:
       OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
       ANYSCALE_API_KEY: ${{ secrets.ANYSCALE_API_KEY }}
       TOGETHER_API_KEY: ${{ secrets.TOGETHER_API_KEY }}
+      ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
 
     steps:
       - uses: actions/checkout@v3
diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml
index 7f22cf72..78beae35 100644
--- a/.github/workflows/test.yml
+++ b/.github/workflows/test.yml
@@ -12,6 +12,7 @@ jobs:
     env:
       OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
       ANYSCALE_API_KEY: ${{ secrets.ANYSCALE_API_KEY }}
+      ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
       TOGETHER_API_KEY: ${{ secrets.TOGETHER_API_KEY }}
 
     steps:
diff --git a/.vscode/launch.json b/.vscode/launch.json
new file mode 100644
index 00000000..bb4e87ef
--- /dev/null
+++ b/.vscode/launch.json
@@ -0,0 +1,36 @@
+{
+  // Use IntelliSense to learn about possible attributes.
+  // Hover to view descriptions of existing attributes.
+  // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+  "version": "0.2.0",
+  "configurations": [
+    {
+      "type": "bun",
+      "internalConsoleOptions": "neverOpen",
+      "request": "launch",
+      "name": "Debug File",
+      "program": "${file}",
+      "cwd": "${workspaceFolder}",
+      "stopOnEntry": false,
+      "watchMode": false
+    },
+    {
+      "type": "bun",
+      "internalConsoleOptions": "neverOpen",
+      "request": "launch",
+      "name": "Run File",
+      "program": "${file}",
+      "cwd": "${workspaceFolder}",
+      "noDebug": true,
+      "watchMode": false
+    },
+    {
+      "type": "bun",
+      "internalConsoleOptions": "neverOpen",
+      "request": "attach",
+      "name": "Attach Bun",
+      "url": "ws://localhost:6499/",
+      "stopOnEntry": false
+    }
+  ]
+}
\ No newline at end of file
diff --git a/bun.lockb b/bun.lockb
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GIT binary patch
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diff --git a/package.json b/package.json
index 25c9e3a8..8e3c4710 100644
--- a/package.json
+++ b/package.json
@@ -51,11 +51,11 @@
   },
   "homepage": "https://github.com/instructor-ai/instructor-js#readme",
   "dependencies": {
-    "zod-stream": "1.0.0",
+    "zod-stream": "1.0.1",
     "zod-validation-error": "^2.1.0"
   },
   "peerDependencies": {
-    "openai": ">=4.24.1",
+    "openai": ">=4.28.0",
     "zod": ">=3.22.4"
   },
   "devDependencies": {
@@ -64,19 +64,20 @@
     "@ianvs/prettier-plugin-sort-imports": "4.1.0",
     "@types/bun": "^1.0.0",
     "@types/node": "^20.10.6",
-    "eslint-config-turbo": "^1.10.12",
-    "eslint-config-prettier": "^9.0.0",
+    "@typescript-eslint/eslint-plugin": "^6.11.0",
+    "@typescript-eslint/parser": "^6.11.0",
     "eslint-config": "^0.3.0",
-    "eslint-plugin-prettier": "^5.1.2",
+    "eslint-config-prettier": "^9.0.0",
+    "eslint-config-turbo": "^1.10.12",
     "eslint-import-resolver-typescript": "^3.5.5",
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-only-warn": "^1.1.0",
-    "@typescript-eslint/parser": "^6.11.0",
-    "@typescript-eslint/eslint-plugin": "^6.11.0",
+    "eslint-plugin-prettier": "^5.1.2",
     "husky": "^8.0.3",
+    "llm-polyglot": "^0.0.3",
     "prettier": "latest",
-    "tsup": "^8.0.1",
     "ts-inference-check": "^0.3.0",
+    "tsup": "^8.0.1",
     "typescript": "^5.2.2"
   }
 }
\ No newline at end of file
diff --git a/src/constants/providers.ts b/src/constants/providers.ts
index fd6022d3..c0c6e381 100644
--- a/src/constants/providers.ts
+++ b/src/constants/providers.ts
@@ -7,6 +7,7 @@ export const PROVIDERS = {
   OAI: "OAI",
   ANYSCALE: "ANYSCALE",
   TOGETHER: "TOGETHER",
+  ANTHROPIC: "ANTHROPIC",
   OTHER: "OTHER"
 } as const
 
@@ -15,16 +16,18 @@ export type Provider = keyof typeof PROVIDERS
 export const PROVIDER_SUPPORTED_MODES: {
   [key in Provider]: Mode[]
 } = {
-  [PROVIDERS.OTHER]: [MODE.FUNCTIONS, MODE.TOOLS, MODE.JSON, MODE.JSON_SCHEMA],
+  [PROVIDERS.OTHER]: [MODE.FUNCTIONS, MODE.TOOLS, MODE.JSON, MODE.JSON_SCHEMA, MODE.MD_JSON],
   [PROVIDERS.OAI]: [MODE.FUNCTIONS, MODE.TOOLS, MODE.JSON, MODE.MD_JSON],
-  [PROVIDERS.ANYSCALE]: [MODE.TOOLS, MODE.JSON, MODE.JSON_SCHEMA],
-  [PROVIDERS.TOGETHER]: [MODE.TOOLS, MODE.JSON, MODE.JSON_SCHEMA]
+  [PROVIDERS.ANYSCALE]: [MODE.TOOLS, MODE.JSON, MODE.JSON_SCHEMA, MODE.MD_JSON],
+  [PROVIDERS.TOGETHER]: [MODE.TOOLS, MODE.JSON, MODE.JSON_SCHEMA, MODE.MD_JSON],
+  [PROVIDERS.ANTHROPIC]: [MODE.MD_JSON, MODE.TOOLS]
 } as const
 
 export const NON_OAI_PROVIDER_URLS = {
   [PROVIDERS.ANYSCALE]: "api.endpoints.anyscale",
   [PROVIDERS.TOGETHER]: "api.together.xyz",
-  [PROVIDERS.OAI]: "api.openai.com"
+  [PROVIDERS.OAI]: "api.openai.com",
+  [PROVIDERS.ANTHROPIC]: "api.anthropic.com"
 } as const
 
 export const PROVIDER_PARAMS_TRANSFORMERS = {
@@ -110,5 +113,9 @@ export const PROVIDER_SUPPORTED_MODES_BY_MODEL = {
       "mistralai/Mixtral-8x7B-Instruct-v0.1"
     ],
     [MODE.TOOLS]: ["mistralai/Mistral-7B-Instruct-v0.1", "mistralai/Mixtral-8x7B-Instruct-v0.1"]
+  },
+  [PROVIDERS.ANTHROPIC]: {
+    [MODE.MD_JSON]: ["*"],
+    [MODE.TOOLS]: ["*"]
   }
 }
diff --git a/src/dsl/validator.ts b/src/dsl/validator.ts
index 060f2c7e..4c18c9b7 100644
--- a/src/dsl/validator.ts
+++ b/src/dsl/validator.ts
@@ -1,11 +1,11 @@
-import { OAIClientExtended } from "@/instructor"
+import { InstructorClient } from "@/instructor"
 import OpenAI from "openai"
 import { RefinementCtx, z } from "zod"
 
 type AsyncSuperRefineFunction = (data: string, ctx: RefinementCtx) => Promise<void>
 
 export const LLMValidator = (
-  instructor: OAIClientExtended,
+  instructor: InstructorClient,
   statement: string,
   params: Omit<OpenAI.ChatCompletionCreateParams, "messages">
 ): AsyncSuperRefineFunction => {
@@ -42,9 +42,13 @@ export const LLMValidator = (
   }
 }
 
-export const moderationValidator = (client: OAIClientExtended | OpenAI) => {
+export const moderationValidator = (client: InstructorClient) => {
   return async (value: string, ctx: z.RefinementCtx) => {
     try {
+      if (!(client instanceof OpenAI)) {
+        throw new Error("ModerationValidator only supports OpenAI clients")
+      }
+
       const response = await client.moderations.create({ input: value })
       const flaggedResults = response.results.filter(result => result.flagged)
 
diff --git a/src/index.ts b/src/index.ts
index b46ab6fc..159c9fdc 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -1,6 +1,6 @@
-import Instructor, { OAIClientExtended } from "./instructor"
+import Instructor, { InstructorClient } from "./instructor"
 
-export { type OAIClientExtended }
+export { type InstructorClient }
 export * from "./types"
 
 export default Instructor
diff --git a/src/instructor.ts b/src/instructor.ts
index 6fd3019f..ff270361 100644
--- a/src/instructor.ts
+++ b/src/instructor.ts
@@ -1,8 +1,11 @@
 import {
   ChatCompletionCreateParamsWithModel,
+  GenericChatCompletion,
   InstructorConfig,
   LogLevel,
-  ReturnTypeBasedOnParams
+  OpenAILikeClient,
+  ReturnTypeBasedOnParams,
+  SupportedInstructorClient
 } from "@/types"
 import OpenAI from "openai"
 import { z } from "zod"
@@ -17,22 +20,22 @@ import {
   PROVIDER_SUPPORTED_MODES_BY_MODEL,
   PROVIDERS
 } from "./constants/providers"
-import { CompletionMeta } from "./types"
+import { ClientTypeChatCompletionParams, CompletionMeta } from "./types"
 
 const MAX_RETRIES_DEFAULT = 0
 
-class Instructor {
-  readonly client: OpenAI
+class Instructor<C extends SupportedInstructorClient> {
+  readonly client: OpenAILikeClient<C>
   readonly mode: Mode
   readonly provider: Provider
   readonly debug: boolean = false
 
   /**
    * Creates an instance of the `Instructor` class.
-   * @param {OpenAI} client - The OpenAI client.
+   * @param {OpenAILikeClient} client - An OpenAI-like client.
    * @param {string} mode - The mode of operation.
    */
-  constructor({ client, mode, debug = false }: InstructorConfig) {
+  constructor({ client, mode, debug = false }: InstructorConfig<C>) {
     this.client = client
     this.mode = mode
     this.debug = debug
@@ -41,6 +44,7 @@ class Instructor {
       this.client?.baseURL.includes(NON_OAI_PROVIDER_URLS.ANYSCALE) ? PROVIDERS.ANYSCALE
       : this.client?.baseURL.includes(NON_OAI_PROVIDER_URLS.TOGETHER) ? PROVIDERS.TOGETHER
       : this.client?.baseURL.includes(NON_OAI_PROVIDER_URLS.OAI) ? PROVIDERS.OAI
+      : this.client?.baseURL.includes(NON_OAI_PROVIDER_URLS.ANTHROPIC) ? PROVIDERS.ANTHROPIC
       : PROVIDERS.OTHER
 
     this.provider = provider
@@ -137,10 +141,12 @@ class Instructor {
         }
       }
 
-      let completion: OpenAI.Chat.Completions.ChatCompletion | null = null
+      let completion: GenericChatCompletion | null = null
 
       try {
-        completion = await this.client.chat.completions.create(resolvedParams)
+        completion = (await this.client.chat.completions.create(
+          resolvedParams
+        )) as GenericChatCompletion
         this.log("debug", "raw standard completion response: ", completion)
       } catch (error) {
         this.log(
@@ -258,7 +264,8 @@ class Instructor {
         this.log("debug", "raw stream completion response: ", completion)
 
         return OAIStream({
-          res: completion
+          //TODO: we need to move away from strict openai types - need to cast here but should update to be more flexible
+          res: completion as AsyncIterable<OpenAI.ChatCompletionChunk>
         })
       },
       response_model
@@ -282,41 +289,46 @@ class Instructor {
       create: async <
         T extends z.AnyZodObject,
         P extends T extends z.AnyZodObject ? ChatCompletionCreateParamsWithModel<T>
-        : OpenAI.ChatCompletionCreateParams & { response_model: never }
+        : ClientTypeChatCompletionParams<typeof this.client> & { response_model: never }
       >(
         params: P
-      ): Promise<ReturnTypeBasedOnParams<P>> => {
+      ): Promise<ReturnTypeBasedOnParams<typeof this.client, P>> => {
         this.validateModelModeSupport(params)
 
         if (this.isChatCompletionCreateParamsWithModel(params)) {
           if (params.stream) {
             return this.chatCompletionStream(params) as ReturnTypeBasedOnParams<
+              typeof this.client,
               P & { stream: true }
             >
           } else {
-            return this.chatCompletionStandard(params) as ReturnTypeBasedOnParams<P>
+            return this.chatCompletionStandard(params) as ReturnTypeBasedOnParams<
+              typeof this.client,
+              P
+            >
           }
         } else {
-          const result: OpenAI.Chat.Completions.ChatCompletion =
+          const result =
             this.isStandardStream(params) ?
               await this.client.chat.completions.create(params)
             : await this.client.chat.completions.create(params)
 
-          return result as ReturnTypeBasedOnParams<P>
+          return result as ReturnTypeBasedOnParams<typeof this.client, P>
         }
       }
     }
   }
 }
 
-export type OAIClientExtended = OpenAI & Instructor
+export type InstructorClient<C extends SupportedInstructorClient = OpenAI> = Instructor<C> &
+  OpenAILikeClient<C>
 
 /**
  * Creates an instance of the `Instructor` class.
- * @param {OpenAI} client - The OpenAI client.
+ * @param {OpenAILikeClient} client - The OpenAI client.
  * @param {string} mode - The mode of operation.
  * @param {boolean} debug - Whether to log debug messages.
- * @returns {OAIClientExtended} The extended OpenAI client.
+ * @returns {InstructorClient} The extended OpenAI client.
  *
  * @example
  * import createInstructor from "@instructor-ai/instructor"
@@ -326,24 +338,26 @@ export type OAIClientExtended = OpenAI & Instructor
  *
  * const client = createInstructor({
  *  client: OAI,
- * mode: "TOOLS",
+ *  mode: "TOOLS",
  * })
  *
  * @param args
  * @returns
  */
-export default function (args: { client: OpenAI; mode: Mode; debug?: boolean }): OAIClientExtended {
-  const instructor = new Instructor(args)
-
+export default function <C extends SupportedInstructorClient = OpenAI>(args: {
+  client: OpenAILikeClient<C>
+  mode: Mode
+  debug?: boolean
+}): InstructorClient<C> {
+  const instructor = new Instructor<C>(args)
   const instructorWithProxy = new Proxy(instructor, {
     get: (target, prop, receiver) => {
       if (prop in target) {
         return Reflect.get(target, prop, receiver)
       }
-
       return Reflect.get(target.client, prop, receiver)
     }
   })
 
-  return instructorWithProxy as OAIClientExtended
+  return instructorWithProxy as InstructorClient<C>
 }
diff --git a/src/types/index.ts b/src/types/index.ts
index 5d989729..4b91ef59 100644
--- a/src/types/index.ts
+++ b/src/types/index.ts
@@ -7,6 +7,51 @@ import {
   type ResponseModel as ZResponseModel
 } from "zod-stream"
 
+export type GenericCreateParams = Omit<Partial<OpenAI.ChatCompletionCreateParams>, "model"> & {
+  model: string
+  messages: OpenAI.ChatCompletionCreateParams["messages"]
+  stream?: boolean
+  max_tokens?: number | null
+}
+
+export type GenericChatCompletion = Partial<OpenAI.Chat.Completions.ChatCompletion> & {
+  [key: string]: unknown
+}
+
+export type GenericChatCompletionStream = AsyncIterable<
+  Partial<OpenAI.Chat.Completions.ChatCompletionChunk> & { [key: string]: unknown }
+>
+
+export type GenericClient<
+  P extends GenericCreateParams = GenericCreateParams,
+  Completion = GenericChatCompletion,
+  Chunk = GenericChatCompletionStream
+> = {
+  baseURL: string
+  chat: {
+    completions: {
+      create: (params: P) => CreateMethodReturnType<P, Completion, Chunk>
+    }
+  }
+}
+
+export type CreateMethodReturnType<
+  P extends GenericCreateParams,
+  Completion = GenericChatCompletion,
+  Chunk = GenericChatCompletionStream
+> = P extends { stream: true } ? Promise<Chunk> : Promise<Completion>
+
+export type ClientTypeChatCompletionParams<C extends SupportedInstructorClient> =
+  C extends OpenAI ? OpenAI.ChatCompletionCreateParams : GenericCreateParams
+
+export type ClientType<C extends SupportedInstructorClient> =
+  C extends OpenAI ? "openai" : "generic"
+
+export type OpenAILikeClient<C extends SupportedInstructorClient> =
+  ClientType<C> extends "openai" ? OpenAI : C
+
+export type SupportedInstructorClient = GenericClient | OpenAI
+
 export type LogLevel = "debug" | "info" | "warn" | "error"
 export type CompletionMeta = Partial<ZCompletionMeta> & {
   usage?: OpenAI.CompletionUsage
@@ -14,8 +59,8 @@ export type CompletionMeta = Partial<ZCompletionMeta> & {
 export type Mode = ZMode
 export type ResponseModel<T extends z.AnyZodObject> = ZResponseModel<T>
 
-export type InstructorConfig = {
-  client: OpenAI
+export interface InstructorConfig<C extends SupportedInstructorClient> {
+  client: OpenAILikeClient<C>
   mode: Mode
   debug?: boolean
 }
@@ -26,13 +71,9 @@ export type InstructorChatCompletionParams<T extends z.AnyZodObject> = {
 }
 
 export type ChatCompletionCreateParamsWithModel<T extends z.AnyZodObject> =
-  InstructorChatCompletionParams<T> & OpenAI.ChatCompletionCreateParams
-
-export type ReturnWithoutModel<P> =
-  P extends { stream: true } ? OpenAI.Chat.Completions.ChatCompletion
-  : OpenAI.Chat.Completions.ChatCompletion
+  InstructorChatCompletionParams<T> & GenericCreateParams
 
-export type ReturnTypeBasedOnParams<P> =
+export type ReturnTypeBasedOnParams<C, P> =
   P extends (
     {
       stream: true
@@ -42,5 +83,9 @@ export type ReturnTypeBasedOnParams<P> =
     Promise<AsyncGenerator<Partial<z.infer<T>> & { _meta?: CompletionMeta }, void, unknown>>
   : P extends { response_model: ResponseModel<infer T> } ?
     Promise<z.infer<T> & { _meta?: CompletionMeta }>
-  : P extends { stream: true } ? Stream<OpenAI.Chat.Completions.ChatCompletionChunk>
-  : OpenAI.Chat.Completions.ChatCompletion
+  : C extends OpenAI ?
+    P extends { stream: true } ?
+      Stream<OpenAI.Chat.Completions.ChatCompletionChunk>
+    : OpenAI.Chat.Completions.ChatCompletion
+  : P extends { stream: true } ? Promise<GenericChatCompletionStream>
+  : Promise<GenericChatCompletion>
diff --git a/tests/anthropic.test.ts b/tests/anthropic.test.ts
new file mode 100644
index 00000000..7ff4c587
--- /dev/null
+++ b/tests/anthropic.test.ts
@@ -0,0 +1,236 @@
+import Instructor from "@/index"
+import { omit } from "@/lib"
+import { describe, expect, test } from "bun:test"
+import { createLLMClient } from "llm-polyglot"
+import z from "zod"
+
+const anthropicClient = createLLMClient({
+  provider: "anthropic",
+  apiKey: process.env.ANTHROPIC_API_KEY
+})
+
+describe("LLMClient Anthropic Provider - mode: TOOLS", () => {
+  const instructor = Instructor<typeof anthropicClient>({
+    client: anthropicClient,
+    mode: "TOOLS"
+  })
+
+  test("basic completion", async () => {
+    const completion = await instructor.chat.completions.create({
+      model: "claude-3-opus-20240229",
+      max_tokens: 1000,
+      messages: [
+        {
+          role: "user",
+          content: "My name is Dimitri Kennedy."
+        }
+      ],
+      response_model: {
+        name: "extract_name",
+        schema: z.object({
+          name: z.string()
+        })
+      }
+    })
+
+    expect(omit(["_meta"], completion)).toEqual({ name: "Dimitri Kennedy" })
+  })
+
+  test("complex schema - streaming", async () => {
+    const completion = await instructor.chat.completions.create({
+      model: "claude-3-opus-20240229",
+      max_tokens: 1000,
+      stream: true,
+      messages: [
+        {
+          role: "user",
+          content: `User Data Submission:
+
+            First Name: John
+            Last Name: Doe
+            Contact Details:
+            Email: john.doe@example.com
+            Phone Number: 555-1234
+            Job History:
+            
+            Company Name: Acme Corp
+            Role: Software Engineer
+            Years: 5
+            Company Name: Globex Inc.
+            Role: Lead Developer
+            Years: 3
+            Skills:
+            
+            Programming
+            Leadership
+            Communication
+            `
+        }
+      ],
+      response_model: {
+        name: "process_user_data",
+        schema: z.object({
+          userDetails: z.object({
+            firstName: z.string(),
+            lastName: z.string(),
+            contactDetails: z.object({
+              email: z.string(),
+              phoneNumber: z.string().optional()
+            })
+          }),
+          jobHistory: z.array(
+            z.object({
+              companyName: z.string(),
+              role: z.string(),
+              years: z.number().optional()
+            })
+          ),
+          skills: z.array(z.string())
+        })
+      }
+    })
+
+    let final = {}
+    for await (const result of completion) {
+      final = result
+    }
+
+    //@ts-expect-error - lazy
+    expect(omit(["_meta"], final)).toEqual({
+      userDetails: {
+        firstName: "John",
+        lastName: "Doe",
+        contactDetails: {
+          email: "john.doe@example.com",
+          phoneNumber: "555-1234"
+        }
+      },
+      jobHistory: [
+        {
+          companyName: "Acme Corp",
+          role: "Software Engineer",
+          years: 5
+        },
+        {
+          companyName: "Globex Inc.",
+          role: "Lead Developer",
+          years: 3
+        }
+      ],
+      skills: ["Programming", "Leadership", "Communication"]
+    })
+  })
+})
+
+describe("LLMClient Anthropic Provider - mode: MD_JSON", () => {
+  const instructor = Instructor({
+    client: anthropicClient,
+    mode: "MD_JSON"
+  })
+
+  test("basic completion", async () => {
+    const completion = await instructor.chat.completions.create({
+      model: "claude-3-opus-20240229",
+      max_tokens: 1000,
+      messages: [
+        {
+          role: "user",
+          content: "My name is Dimitri Kennedy."
+        }
+      ],
+      response_model: {
+        name: "get_name",
+        schema: z.object({
+          name: z.string()
+        })
+      }
+    })
+
+    expect(completion).toEqual({ name: "Dimitri Kennedy" })
+  })
+
+  test("complex schema - streaming", async () => {
+    const completion = await instructor.chat.completions.create({
+      model: "claude-3-opus-20240229",
+      max_tokens: 1000,
+      stream: true,
+      messages: [
+        {
+          role: "user",
+          content: `User Data Submission:
+
+            First Name: John
+            Last Name: Doe
+            Contact Details:
+            Email: john.doe@example.com
+            Phone Number: 555-1234
+            Job History:
+            
+            Company Name: Acme Corp
+            Role: Software Engineer
+            Years: 5
+            Company Name: Globex Inc.
+            Role: Lead Developer
+            Years: 3
+            Skills:
+            
+            Programming
+            Leadership
+            Communication
+            `
+        }
+      ],
+      response_model: {
+        name: "process_user_data",
+        schema: z.object({
+          userDetails: z.object({
+            firstName: z.string(),
+            lastName: z.string(),
+            contactDetails: z.object({
+              email: z.string(),
+              phoneNumber: z.string().optional()
+            })
+          }),
+          jobHistory: z.array(
+            z.object({
+              companyName: z.string(),
+              role: z.string(),
+              years: z.number().optional()
+            })
+          ),
+          skills: z.array(z.string())
+        })
+      }
+    })
+
+    let final = {}
+    for await (const result of completion) {
+      final = result
+    }
+
+    //@ts-expect-error - lazy
+    expect(omit(["_meta"], final)).toEqual({
+      userDetails: {
+        firstName: "John",
+        lastName: "Doe",
+        contactDetails: {
+          email: "john.doe@example.com",
+          phoneNumber: "555-1234"
+        }
+      },
+      jobHistory: [
+        {
+          companyName: "Acme Corp",
+          role: "Software Engineer",
+          years: 5
+        },
+        {
+          companyName: "Globex Inc.",
+          role: "Lead Developer",
+          years: 3
+        }
+      ],
+      skills: ["Programming", "Leadership", "Communication"]
+    })
+  })
+})
diff --git a/tests/inference.test.ts b/tests/inference.test.ts
index a24f19a7..abe62e75 100644
--- a/tests/inference.test.ts
+++ b/tests/inference.test.ts
@@ -49,7 +49,9 @@ describe("Inference Checking", () => {
       stream: true
     })
 
-    expect(type(userStream).strictly.is<Stream<OpenAI.Chat.ChatCompletionChunk>>(true)).toBe(true)
+    expect(
+      type(userStream).strictly.is<Stream<OpenAI.Chat.Completions.ChatCompletionChunk>>(true)
+    ).toBe(true)
   })
 
   test("response_model, no stream", async () => {
diff --git a/tests/mode.test.ts b/tests/mode.test.ts
index b13c405b..1ad4999c 100644
--- a/tests/mode.test.ts
+++ b/tests/mode.test.ts
@@ -82,6 +82,7 @@ const UserSchema = z.object({
 
 async function extractUser(model: string, mode: Mode, provider: Provider) {
   const config = provider_config[provider]
+
   const oai = new OpenAI({
     ...config,
     organization: process.env.OPENAI_ORG_ID ?? undefined