Adds docs

docs/core_docs/docs/integrations/chat/deep_infra.mdx

@@ -0,0 +1,25 @@
+---
+sidebar_label: Deep Infra
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# ChatDeepInfra
+
+LangChain supports chat models hosted by [Deep Infra](https://deepinfra.com/) through the `ChatDeepInfra` wrapper.
+First, you'll need to install the `@langchain/community` package:
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/community
+```
+
+You'll need to obtain an API key and set it as an environment variable named `DEEPINFRA_API_TOKEN`
+(or pass it into the constructor), then call the model as shown below:
+
+import Example from "@examples/models/chat/integration_deepinfra.ts";
+
+<CodeBlock language="typescript">{Example}</CodeBlock>

docs/core_docs/docs/integrations/llms/deep_infra.mdx

@@ -0,0 +1,25 @@
+---
+sidebar_label: Deep Infra
+---
+
+import CodeBlock from "@theme/CodeBlock";
+
+# DeepInfra
+
+LangChain supports LLMs hosted by [Deep Infra](https://deepinfra.com/) through the `DeepInfra` wrapper.
+First, you'll need to install the `@langchain/community` package:
+
+import IntegrationInstallTooltip from "@mdx_components/integration_install_tooltip.mdx";
+
+<IntegrationInstallTooltip></IntegrationInstallTooltip>
+
+```bash npm2yarn
+npm install @langchain/community
+```
+
+You'll need to obtain an API key and set it as an environment variable named `DEEPINFRA_API_TOKEN`
+(or pass it into the constructor), then call the model as shown below:
+
+import Example from "@examples/models/llm/deepinfra.ts";
+
+<CodeBlock language="typescript">{Example}</CodeBlock>

examples/src/models/chat/integration_deepinfra.ts

@@ -12,6 +12,6 @@ const chat = new ChatDeepInfra({
 
 const messages = [new HumanMessage("Hello")];
 
-chat.invoke(messages).then((response: any) => {
-  console.log(response);
-});
+const res = await chat.invoke(messages);
+
+console.log(res);

examples/src/models/llm/deepinfra.ts

@@ -4,11 +4,15 @@ const apiKey = process.env.DEEPINFRA_API_TOKEN;
 const model = "meta-llama/Meta-Llama-3-70B-Instruct";
 
 const llm = new DeepInfraLLM({
+  temperature: 0.7,
   maxTokens: 20,
   model,
   apiKey,
+  maxRetries: 5,
 });
+
 const res = await llm.invoke(
   "What is the next step in the process of making a good game?"
 );
+
 console.log({ res });

libs/langchain-community/src/chat_models/deepinfra.ts

@@ -147,7 +147,6 @@ export class ChatDeepInfra
       false,
       options?.signal
     ).then<ChatCompletionResponse>((data) => {
-
       if (data?.code) {
         throw new Error(data?.message);
       }
@@ -184,7 +183,6 @@ export class ChatDeepInfra
     stream: boolean,
     signal?: AbortSignal
   ) {
-
     const body = {
       temperature: this.temperature,
       max_tokens: this.maxTokens,