diff --git a/README.md b/README.md
index c23d38e..5722205 100644
--- a/README.md
+++ b/README.md
@@ -3,10 +3,6 @@
   <a href="https://docs.unillm.ai/#gh-light-mode-only" target="_blank">
     <img src=".github/assets/logo-light-mode.svg" alt="logo" width="280">
   </a>
-
-  <a href="https://docs.unillm.ai/#gh-dark-mode-only" target="_blank">
-    <img src=".github/assets/logo-dark-mode.svg" alt="logo" width="280">
-  </a>
   </h1>
 </p>
 
@@ -15,7 +11,7 @@
 </p>
 
 <p align="center">
-<img src="https://github.com/pezzolabs/pezzo/actions/workflows/ci.yaml/badge.svg" />
+<img src="https://github.com/pezzolabs/unillm/actions/workflows/ci.yaml/badge.svg" />
 <a href="CODE_OF_CONDUCT.md">
   <img src="https://img.shields.io/badge/Contributor%20Covenant-v2.0%20adopted-ff69b4.svg" alt="Contributor Covenant">
 </a>
@@ -23,7 +19,7 @@
   <img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License">
 </a>
 <a href="https://www.npmjs.com/package/unillm" target="_blank">
-  <img src="https://img.shields.io/badge/npm-@pezzo/client-green">
+  <img src="https://img.shields.io/badge/npm-unillm-green">
 </a>
 </p>
 
@@ -52,18 +48,18 @@ npm i unillm
 ```ts
 import { UniLLM } from 'unillm';
 
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 // OpenAI
-const response = await uniLLM.createChatCompletion("openai/gpt-3.5-turbo", { messages: ... });
-const response = await uniLLM.createChatCompletion("openai/gpt-4", { messages: ... });
+const response = await unillm.createChatCompletion("openai/gpt-3.5-turbo", { messages: ... });
+const response = await unillm.createChatCompletion("openai/gpt-4", { messages: ... });
 
 // Anthropic
-const response = await uniLLM.createChatCompletion("anthropic/claude-2", { messages: ... });
-const response = await uniLLM.createChatCompletion("anthropic/claude-1-instant", { messages: ... });
+const response = await unillm.createChatCompletion("anthropic/claude-2", { messages: ... });
+const response = await unillm.createChatCompletion("anthropic/claude-1-instant", { messages: ... });
 
 // Azure OpenAI
-const response = await uniLLM.createChatCompletion("azure/openai/<deployment-name>", { messages: ... });
+const response = await unillm.createChatCompletion("azure/openai/<deployment-name>", { messages: ... });
 
 // More coming soon!
 ```
@@ -75,7 +71,7 @@ Want to see more examples? Check out the **[interactive docs](https://docs.unill
 To enable streaming, simply provide `stream: true` in the options object. Here is an example:
 
 ```ts
-const response = await uniLLM.createChatCompletion("openai/gpt-3.5-turbo", {
+const response = await unillm.createChatCompletion("openai/gpt-3.5-turbo", {
   messages: ...,
   stream: true
 });
@@ -87,7 +83,7 @@ Want to see more examples? Check out the **[interactive docs](https://docs.unill
 
 We welcome contributions from the community! Please feel free to submit pull requests or create issues for bugs or feature suggestions.
 
-If you want to contribute but not sure how, join our [Discord](https://pezzo.cc/discord) and we'll be happy to help you out!
+If you want to contribute but not sure how, join our [Discord](https://discord.gg/XcEVPePwn2) and we'll be happy to help you out!
 
 Please check out [CONTRIBUTING.md](CONTRIBUTING.md) before contributing.
 
diff --git a/apps/demo/app/api/chat/route.ts b/apps/demo/app/api/chat/route.ts
index 7a9e64d..8232ce1 100644
--- a/apps/demo/app/api/chat/route.ts
+++ b/apps/demo/app/api/chat/route.ts
@@ -4,9 +4,9 @@ import { UniLLM } from "unillm";
 export async function POST(req: Request) {
   const { messages, llm } = await req.json();
 
-  const uniLLM = new UniLLM();
+  const unillm = new UniLLM();
 
-  const response = await uniLLM.createChatCompletion(llm, {
+  const response = await unillm.createChatCompletion(llm, {
     temperature: 0,
     max_tokens: 500,
     messages: [...messages],
diff --git a/apps/docs/components/DynamicCodeExample.tsx b/apps/docs/components/DynamicCodeExample.tsx
index 19e0b02..dd3b55d 100644
--- a/apps/docs/components/DynamicCodeExample.tsx
+++ b/apps/docs/components/DynamicCodeExample.tsx
@@ -47,7 +47,7 @@ export const getSelectContent = (allowedProvider?) => {
              </Select.Label>
           
           {models.map(({ name, value }) => (
-           <Select.Item value={value}>
+           <Select.Item key={value} value={value}>
             <div className="flex items-center justify-center">
 
             <Image className="mr-2 rounded-sm" src={logo} width={20} height={20} alt={providerName} />
diff --git a/apps/docs/pages/index.mdx b/apps/docs/pages/index.mdx
index 3aa8fee..8eb8dd9 100644
--- a/apps/docs/pages/index.mdx
+++ b/apps/docs/pages/index.mdx
@@ -33,10 +33,10 @@ import { UniLLM } from 'unillm';
 */
 
 // Setup UniLLM
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 // Use any LLM provider and model
-const response = await uniLLM.createChatCompletion("#MODEL#", {
+const response = await unillm.createChatCompletion("#MODEL#", {
   temperature: 0,
   messages: [
     {
diff --git a/apps/docs/pages/providers-and-models/anthropic.mdx b/apps/docs/pages/providers-and-models/anthropic.mdx
index fec5571..ae4729f 100644
--- a/apps/docs/pages/providers-and-models/anthropic.mdx
+++ b/apps/docs/pages/providers-and-models/anthropic.mdx
@@ -18,10 +18,10 @@ import { UniLLM } from 'unillm';
 */
 
 // Setup UniLLM
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 // Use any LLM provider and model
-const response = await uniLLM.createChatCompletion("#MODEL#", {
+const response = await unillm.createChatCompletion("#MODEL#", {
   temperature: 0,
   messages: [
     {
diff --git a/apps/docs/pages/providers-and-models/azure-openai.mdx b/apps/docs/pages/providers-and-models/azure-openai.mdx
index 256e1fb..9e23799 100644
--- a/apps/docs/pages/providers-and-models/azure-openai.mdx
+++ b/apps/docs/pages/providers-and-models/azure-openai.mdx
@@ -21,10 +21,10 @@ import { UniLLM } from 'unillm';
 */
 
 // Setup UniLLM
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 // Use any LLM provider and model
-const response = await uniLLM.createChatCompletion("#MODEL#", {
+const response = await unillm.createChatCompletion("#MODEL#", {
   temperature: 0,
   messages: [
     {
diff --git a/apps/docs/pages/providers-and-models/openai.mdx b/apps/docs/pages/providers-and-models/openai.mdx
index b38d407..816323c 100644
--- a/apps/docs/pages/providers-and-models/openai.mdx
+++ b/apps/docs/pages/providers-and-models/openai.mdx
@@ -18,10 +18,10 @@ import { UniLLM } from 'unillm';
 */
 
 // Setup UniLLM
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 // Use any LLM provider and model
-const response = await uniLLM.createChatCompletion("#MODEL#", {
+const response = await unillm.createChatCompletion("#MODEL#", {
   temperature: 0,
   messages: [
     {
diff --git a/packages/unillm-node/tests/anthropic.test.ts b/packages/unillm-node/tests/anthropic.test.ts
index 9209768..7148812 100644
--- a/packages/unillm-node/tests/anthropic.test.ts
+++ b/packages/unillm-node/tests/anthropic.test.ts
@@ -4,14 +4,14 @@ import * as utils from "./utils/validation.util";
 import type { ChatCompletionChunk } from "openai/resources/chat";
 import { testParams } from "./utils/test-data.util";
 
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 describe("#createChatCompletion - Anthropic", () => {
   const model = "anthropic/claude-2";
 
   describe("Non streaming", () => {
     it("Should return a valid chat completion response", async () => {
-      const response = await uniLLM.createChatCompletion(model, {
+      const response = await unillm.createChatCompletion(model, {
         ...testParams,
         stream: false,
       });
@@ -23,7 +23,7 @@ describe("#createChatCompletion - Anthropic", () => {
     it("Should throw an error and return a unified error response", async () => {
       let errorOccurred = false;
       try {
-        await uniLLM.createChatCompletion(model, {
+        await unillm.createChatCompletion(model, {
           ...testParams,
           stream: false,
           messages: [],
@@ -40,7 +40,7 @@ describe("#createChatCompletion - Anthropic", () => {
 
   describe("Streaming", () => {
     it("Should return a valid iterable chat completion stream", async () => {
-      const response = await uniLLM.createChatCompletion(model, {
+      const response = await unillm.createChatCompletion(model, {
         ...testParams,
         stream: true,
       });
diff --git a/packages/unillm-node/tests/azure-openai.test.ts b/packages/unillm-node/tests/azure-openai.test.ts
index 0b59c8b..fa7a3e6 100644
--- a/packages/unillm-node/tests/azure-openai.test.ts
+++ b/packages/unillm-node/tests/azure-openai.test.ts
@@ -5,12 +5,12 @@ import type { ChatCompletionChunk } from "openai/resources/chat";
 import { testFunctions, testParams } from "./utils/test-data.util";
 
 const deployment = process.env.AZURE_OPENAI_DEPLOYMENT;
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 describe("#createChatCompletion - Azure OpenAI", () => {
   describe("Non streaming", () => {
     it("Should return a valid chat completion response", async () => {
-      const response = await uniLLM.createChatCompletion(
+      const response = await unillm.createChatCompletion(
         `azure/openai/${deployment}`,
         {
           ...testParams,
@@ -23,7 +23,7 @@ describe("#createChatCompletion - Azure OpenAI", () => {
     });
 
     it("Should return a valid function calling response", async () => {
-      const response = await uniLLM.createChatCompletion(
+      const response = await unillm.createChatCompletion(
         `azure/openai/${deployment}`,
         {
           ...testParams,
@@ -39,7 +39,7 @@ describe("#createChatCompletion - Azure OpenAI", () => {
     it("Should throw an error and return a unified error response", async () => {
       let errorOccurred = false;
       try {
-        await uniLLM.createChatCompletion(`azure/openai/${deployment}`, {
+        await unillm.createChatCompletion(`azure/openai/${deployment}`, {
           ...testParams,
           stream: false,
           messages: [],
@@ -56,7 +56,7 @@ describe("#createChatCompletion - Azure OpenAI", () => {
 
   describe("Streaming", () => {
     it("Should return a valid iterable chat completion stream", async () => {
-      const stream = await uniLLM.createChatCompletion(
+      const stream = await unillm.createChatCompletion(
         `azure/openai/${deployment}`,
         {
           ...testParams,
diff --git a/packages/unillm-node/tests/openai.test.ts b/packages/unillm-node/tests/openai.test.ts
index fde72b9..f53a8c4 100644
--- a/packages/unillm-node/tests/openai.test.ts
+++ b/packages/unillm-node/tests/openai.test.ts
@@ -4,14 +4,14 @@ import * as utils from "./utils/validation.util";
 import type { ChatCompletionChunk } from "openai/resources/chat";
 import { testParams, testFunctions } from "./utils/test-data.util";
 
-const uniLLM = new UniLLM();
+const unillm = new UniLLM();
 
 describe("#createChatCompletion - OpenAI", () => {
   const model = "openai/gpt-3.5-turbo";
 
   describe("Non streaming", () => {
     it("Should return a valid chat completion response", async () => {
-      const response = await uniLLM.createChatCompletion(model, {
+      const response = await unillm.createChatCompletion(model, {
         ...testParams,
         stream: false,
       });
@@ -21,7 +21,7 @@ describe("#createChatCompletion - OpenAI", () => {
     });
 
     it("Should return a valid function calling response", async () => {
-      const response = await uniLLM.createChatCompletion(model, {
+      const response = await unillm.createChatCompletion(model, {
         ...testParams,
         stream: false,
         functions: testFunctions,
@@ -34,7 +34,7 @@ describe("#createChatCompletion - OpenAI", () => {
     it("Should throw an error and return a unified error response", async () => {
       let errorOccurred = false;
       try {
-        await uniLLM.createChatCompletion(model, {
+        await unillm.createChatCompletion(model, {
           ...testParams,
           stream: false,
           messages: [],
@@ -51,7 +51,7 @@ describe("#createChatCompletion - OpenAI", () => {
 
   describe("Streaming", () => {
     it("Should return a valid iterable chat completion stream", async () => {
-      const stream = await uniLLM.createChatCompletion(model, {
+      const stream = await unillm.createChatCompletion(model, {
         ...testParams,
         stream: true,
       });