fix cli (#672)

engine/language_client_typescript/cli.js

@@ -1,3 +1,5 @@
+#!/usr/bin/env node
+
 if (require.main === module) {
   const baml = require('./native')
   baml.invoke_runtime_cli(process.argv.slice(1))

engine/language_client_typescript/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@boundaryml/baml",
-  "version": "0.39.0",
+  "version": "0.39.1",
   "description": "BAML typescript bindings (package.json)",
   "repository": {
     "type": "git",

typescript/fiddle-frontend/public/_examples/prompt-engineering/all-prompting-techniques/baml_src/clients.baml

@@ -0,0 +1,39 @@
+// These are LLM clients you can use in your functions. We currently support Anthropic, OpenAI / Azure, and Ollama as providers but are expanding to many more.
+
+// For this playground, we have setup a few clients for you to use already with some free credits.
+
+client<llm> GPT4 {
+  // Use one of the following: https://docs.boundaryml.com/v3/syntax/client/client#providers
+  provider openai
+  // You can pass in any parameters from the OpenAI Python documentation into the options block.
+  options {
+    model gpt-4
+    api_key env.OPENAI_API_KEY
+  }
+} 
+
+client<llm> GPT4Turbo {
+  provider openai
+  options {
+    model gpt-4-turbo
+    api_key env.OPENAI_API_KEY
+  }
+} 
+
+client<llm> GPT35 {
+  provider openai
+  options {
+    model gpt-3.5-turbo
+    api_key env.OPENAI_API_KEY
+  }
+}  
+
+client<llm> Claude {
+  provider anthropic
+  options {
+    model claude-3-haiku-20240307
+    api_key env.ANTHROPIC_API_KEY
+    max_tokens 1000
+
+  }
+}

typescript/fiddle-frontend/public/_examples/prompt-engineering/all-prompting-techniques/baml_src/main.baml

@@ -0,0 +1,42 @@
+class Email {
+    subject string
+    body string
+    from_address string
+}
+
+enum OrderStatus {
+    ORDERED
+    SHIPPED
+    DELIVERED
+    CANCELLED
+}
+
+class OrderInfo {
+    order_status OrderStatus
+    tracking_number string?
+    estimated_arrival_date string?
+}
+
+function GetOrderInfo(email: Email) -> OrderInfo {
+  client GPT4Turbo
+  prompt #"
+    Given the email below:
+
+    \`\`\`
+    from: {{email.from_address}}
+    Email Subject: {{email.subject}}
+    Email Body: {{email.body}}
+    \`\`\`
+
+    Extract this info from the email in JSON format:
+    {{ ctx.output_format }}
+
+    Before you output the JSON, please explain your
+    reasoning step-by-step. Here is an example on how to do this:
+    'If we think step by step we can see that ...
+     therefore the output JSON is:
+    {
+      ... the json schema ...
+    }'
+  "#
+}