LLMs Overview

curl -X POST https://api.case.dev/llm/v1/chat/completions \
  -H "Authorization: Bearer $CASEDEV_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'

casedev llm:v1:chat create-completion \
  --model anthropic/claude-sonnet-4.5 \
  --message '{role: user, content: "Summarize this deposition in 3 bullet points."}'

import Casedev from 'casedev';

const client = new Casedev({ apiKey: process.env.CASEDEV_API_KEY });

// Process a request from your user
const response = await client.llm.v1.chat.createCompletion({
  model: 'anthropic/claude-sonnet-4.5',
  messages: [
    { role: 'user', content: userPrompt }
  ]
});

// Return the response to your user
console.log(response.choices[0].message.content);

import casedev

client = casedev.Casedev(api_key=os.environ['CASEDEV_API_KEY'])

# Process a request from your user
response = client.llm.v1.chat.create_completion(
    model='anthropic/claude-sonnet-4.5',
    messages=[
        {'role': 'user', 'content': user_prompt}
    ]
)

# Return the response to your user
print(response.choices[0].message.content)

// Process a request from your user
resp, _ := client.Llm.V1.Chat.NewCompletion(ctx, casedev.LlmV1ChatNewCompletionParams{
	Model: casedev.F("anthropic/claude-sonnet-4.5"),
	Messages: casedev.F([]casedev.LlmV1ChatNewCompletionParamsMessage{{
		Role:    casedev.F(casedev.LlmV1ChatNewCompletionParamsMessagesRoleUser),
		Content: casedev.F(userPrompt),
	}}),
})

// Return the response to your user
fmt.Println(resp.Choices[0].Message.Content)