Deepseek-Go is a Go-based API client for the Deepseek platform. It provides a clean and type-safe interface to interact with Deepseek's AI features, including chat completions with streaming, token usage tracking, and more.
go get github.com/cohesion-org/deepseek-go
deepseek-go currently uses go 1.23.3
- Chat Completion: Easily send chat messages and receive responses from Deepseek's AI models. It also supports streaming.
- Modular Design: The library is structured into reusable components for building, sending, and handling requests and responses.
- MIT License: Open-source and free for both personal and commercial use.
The recent gain in popularity and cybersecurity issues Deepseek has seen makes for many problems while using the API. Please refer to the status page for the current status.
Here's a quick example of how to use the library:
Before using the library, ensure you have:
- A valid Deepseek API key.
- Go installed on your system.
-
deepseek-chat
A versatile model designed for conversational tasks.
Usage:Model: deepseek.DeepSeekChat
-
deepseek-reasoner
A specialized model for reasoning-based tasks.
Usage:Model: deepseek.DeepSeekReasoner
.
Note: The reasoner requires unique conditions. Please refer to this issue #8.
-
Azure DeepSeekR1
Same asdeepseek-reasoner
, but provided by Azure.
Usage:Model: deepseek.AzureDeepSeekR1
-
OpenRouter DeepSeek1
Same asdeepseek-reasoner
, but provided by OpenRouter.
Usage:Model: deepseek.OpenRouterR1
Chat
package main
import (
"context"
"fmt"
"log"
"os"
deepseek "github.com/cohesion-org/deepseek-go"
constants "github.com/cohesion-org/deepseek-go/constants"
)
func main() {
// Set up the Deepseek client
client := deepseek.NewClient(os.Getenv("DEEPSEEK_API_KEY"))
// Create a chat completion request
request := &deepseek.ChatCompletionRequest{
Model: deepseek.DeepSeekChat,
Messages: []deepseek.ChatCompletionMessage{
{Role: constants.ChatMessageRoleSystem, Content: "Answer every question using slang."},
{Role: constants.ChatMessageRoleUser, Content: "Which is the tallest mountain in the world?"},
},
}
// Send the request and handle the response
ctx := context.Background()
response, err := client.CreateChatCompletion(ctx, request)
if err != nil {
log.Fatalf("error: %v", err)
}
// Print the response
fmt.Println("Response:", response.Choices[0].Message.Content)
}
Using external providers such as Azure or OpenRouter.
package main
import (
"context"
"fmt"
"log"
"os"
deepseek "github.com/cohesion-org/deepseek-go"
constants "github.com/cohesion-org/deepseek-go/constants"
)
func main() {
// Azure
baseURL := "https://models.inference.ai.azure.com/"
// OpenRouter
// baseURL := "https://openrouter.ai/api/v1/"
// Set up the Deepseek client
client := deepseek.NewClient(os.Getenv("PROVIDER_API_KEY"), baseURL)
// Create a chat completion request
request := &deepseek.ChatCompletionRequest{
Model: deepseek.AzureDeepSeekR1,
// Model: deepseek.OpenRouterDeepSeekR1,
Messages: []deepseek.ChatCompletionMessage{
{Role: constants.ChatMessageRoleUser, Content: "Which is the tallest mountain in the world?"},
},
}
// Send the request and handle the response
ctx := context.Background()
response, err := client.CreateChatCompletion(ctx, request)
if err != nil {
log.Fatalf("error: %v", err)
}
// Print the response
fmt.Println("Response:", response.Choices[0].Message.Content)
}
Note: If you wish to use other providers that are not supported by us, you can simply extend the baseURL(as shown above), and pass the name of your model as a string to Model
while creating the ChatCompletionRequest
. This will work as long as the provider follows the same API structure as Azure or OpenRouter.
Sending other params like Temp, Stop
You just need to extend the ChatCompletionMessage with the supported parameters. request := &deepseek.ChatCompletionRequest{
Model: deepseek.DeepSeekChat,
Messages: []deepseek.ChatCompletionMessage{
{Role: constants.ChatMessageRoleUser, Content: "What is the meaning of deepseek"},
{Role: constants.ChatMessageRoleSystem, Content: "Answer every question using slang"},
},
Temperature: 1.0,
Stop: []string{"yo", "hello"},
ResponseFormat: &deepseek.ResponseFormat{
Type: "text",
},
}
Multi-Conversation with Deepseek.
package deepseek_examples
import (
"context"
"log"
deepseek "github.com/cohesion-org/deepseek-go"
"github.com/cohesion-org/deepseek-go/constants"
)
func MultiChat() {
client := deepseek.NewClient("DEEPSEEK_API_KEY")
ctx := context.Background()
messages := []deepseek.ChatCompletionMessage{{
Role: constants.ChatMessageRoleUser,
Content: "Who is the president of the United States? One word response only.",
}}
// Round 1: First API call
response1, err := client.CreateChatCompletion(ctx, &deepseek.ChatCompletionRequest{
Model: deepseek.DeepSeekChat,
Messages: messages,
})
if err != nil {
log.Fatalf("Round 1 failed: %v", err)
}
response1Message, err := deepseek.MapMessageToChatCompletionMessage(response1.Choices[0].Message)
if err != nil {
log.Fatalf("Mapping to message failed: %v", err)
}
messages = append(messages, response1Message)
log.Printf("The messages after response 1 are: %v", messages)
// Round 2: Second API call
messages = append(messages, deepseek.ChatCompletionMessage{
Role: constants.ChatMessageRoleUser,
Content: "Who was the one in the previous term.",
})
response2, err := client.CreateChatCompletion(ctx, &deepseek.ChatCompletionRequest{
Model: deepseek.DeepSeekChat,
Messages: messages,
})
if err != nil {
log.Fatalf("Round 2 failed: %v", err)
}
response2Message, err := deepseek.MapMessageToChatCompletionMessage(response2.Choices[0].Message)
if err != nil {
log.Fatalf("Mapping to message failed: %v", err)
}
messages = append(messages, response2Message)
log.Printf("The messages after response 1 are: %v", messages)
}
Chat with Streaming
package main
import (
"context"
"errors"
"fmt"
"io"
"log"
"os"
deepseek "github.com/cohesion-org/deepseek-go"
constants "github.com/cohesion-org/deepseek-go/constants"
)
func main() {
client := deepseek.NewClient(os.Getenv("DEEPSEEK_API_KEY"))
request := &deepseek.StreamChatCompletionRequest{
Model: deepseek.DeepSeekChat,
Messages: []deepseek.ChatCompletionMessage{
{Role: constants.ChatMessageRoleUser, Content: "Just testing if the streaming feature is working or not!"},
},
Stream: true,
}
ctx := context.Background()
stream, err := client.CreateChatCompletionStream(ctx, request)
if err != nil {
log.Fatalf("ChatCompletionStream error: %v", err)
}
var fullMessage string
defer stream.Close()
for {
response, err := stream.Recv()
if errors.Is(err, io.EOF) {
fmt.Println("\nStream finished")
break
}
if err != nil {
fmt.Printf("\nStream error: %v\n", err)
break
}
for _, choice := range response.Choices {
fullMessage += choice.Delta.Content // Accumulate chunk content
log.Println(choice.Delta.Content)
}
}
log.Println("The full message is: ", fullMessage)
}
Get the balance(s) of the user.
package main
import (
"context"
"log"
"os"
deepseek "github.com/cohesion-org/deepseek-go"
)
func main() {
client := deepseek.NewClient(os.Getenv("DEEPSEEK_API_KEY"))
ctx := context.Background()
balance, err := deepseek.GetBalance(client, ctx)
if err != nil {
log.Fatalf("Error getting balance: %v", err)
}
if balance == nil {
log.Fatalf("Balance is nil")
}
if len(balance.BalanceInfos) == 0 {
log.Fatalf("No balance information returned")
}
log.Printf("%+v\n", balance)
}
Get the list of All the models the API supports right now. This is different from what deepseek-go might support.
func ListModels() {
client := deepseek.NewClient("DEEPSEEK_API_KEY")
ctx := context.Background()
models, err := deepseek.ListAllModels(client, ctx)
if err != nil {
t.Fatalf("Error listing models: %v", err)
}
fmt.Printf("\n%+v\n", models)
}
Get the estimated tokens for the request.
This is adpated from the Deepseek's estimation.
func Estimation() {
client := deepseek.NewClient("DEEPSEEK_API_KEY"))
request := &deepseek.ChatCompletionRequest{
Model: deepseek.DeepSeekChat,
Messages: []deepseek.ChatCompletionMessage{
{Role: constants.ChatMessageRoleSystem, Content: "Just respond with the time it might take you to complete this request."},
{Role: constants.ChatMessageRoleUser, Content: "The text to evaluate the time is: Who is the greatest singer in the world?"},
},
}
ctx := context.Background()
tokens := deepseek.EstimateTokensFromMessages(request)
fmt.Println("Estimated tokens for the request is: ", tokens.EstimatedTokens)
response, err := client.CreateChatCompletion(ctx, request)
if err != nil {
log.Fatalf("error: %v", err)
}
fmt.Println("Response:", response.Choices[0].Message.Content, "\nActual Tokens Used:", response.Usage.PromptTokens)
}
JSON mode for JSON extraction
package main
import (
"context"
"fmt"
"log"
"os"
"github.com/cohesion-org/deepseek-go"
"github.com/cohesion-org/deepseek-go/constants"
)
func JsonMode() {
// Book represents a book in a library
type Book struct {
ISBN string `json:"isbn"`
Title string `json:"title"`
Author string `json:"author"`
Genre string `json:"genre"`
PublicationYear int `json:"publication_year"`
Available bool `json:"available"`
}
type Books struct {
Books []Book `json:"books"`
}
// Creating a new client using OpenRouter; you can use your own API key and endpoint.
client := deepseek.NewClient(
os.Getenv("OPENROUTER_API_KEY"),
"https://openrouter.ai/api/v1/",
)
ctx := context.Background()
prompt := `Provide book details in JSON format. Generate 10 JSON objects.
Please provide the JSON in the following format: { "books": [...] }
Example: {"isbn": "978-0321765723", "title": "The Lord of the Rings", "author": "J.R.R. Tolkien", "genre": "Fantasy", "publication_year": 1954, "available": true}`
resp, err := client.CreateChatCompletion(ctx, &deepseek.ChatCompletionRequest{
Model: "mistralai/codestral-2501", // Or another suitable model
Messages: []deepseek.ChatCompletionMessage{
{Role: constants.ChatMessageRoleUser, Content: prompt},
},
JSONMode: true,
})
if err != nil {
log.Fatalf("Failed to create chat completion: %v", err)
}
if resp == nil || len(resp.Choices) == 0 {
log.Fatal("No response or choices found")
}
log.Printf("Response: %s", resp.Choices[0].Message.Content)
extractor := deepseek.NewJSONExtractor(nil)
var books Books
if err := extractor.ExtractJSON(resp, &books); err != nil {
log.Fatal(err)
}
fmt.Printf("\n\nExtracted Books: %+v\n\n", books)
// Basic validation to check if we got some books
if len(books.Books) == 0 {
log.Print("No books were extracted from the JSON response")
} else {
fmt.Println("Successfully extracted", len(books.Books), "books.")
}
}
You can see more examples inside the examples folder.
Add more settings to your client with NewClientWithOptions
package main
import (
"fmt"
"log"
"time"
"github.com/cohesion-org/deepseek-go"
)
func main() {
client, err := deepseek.NewClientWithOptions("your-api-key",
deepseek.WithBaseURL("https://custom-api.com/"),
deepseek.WithTimeout(10*time.Second),
)
if err != nil {
log.Fatalf("Error creating client: %v", err)
}
fmt.Printf("Client initialized with BaseURL: %s and Timeout: %v\n", client.BaseURL, client.Timeout)
}
See the examples folder for more information.
FIM Mode(Beta)
In FIM (Fill In the Middle) completion, users can provide a prefix and a suffix (optional), and the model will complete the content in between. FIM is commonly used for content completion、code completion.
package main
import (
"context"
"fmt"
"log"
"os"
deepseek "github.com/cohesion-org/deepseek-go"
)
func FIM() {
client := deepseek.NewClient(os.Getenv("DEEPSEEK_API_KEY"))
request := &deepseek.FIMCompletionRequest{
Model: deepseek.DeepSeekChat,
Prompt: "def add(a, b):",
}
ctx := context.Background()
response, err := client.CreateFIMCompletion(ctx, request)
if err != nil {
log.Fatalf("error: %v", err)
}
fmt.Println("\n", response.Choices[0].Text)
}
To use the Deepseek API, you need an API key. You can obtain one by signing up on the Deepseek website
-
Copy the example environment file:
cp .env.example .env
-
Add your DeepSeek API key to
.env
:TEST_DEEPSEEK_API_KEY=your_api_key_here
-
(Optional) Configure test timeout:
# Default is 30s, increase for slower connections TEST_TIMEOUT=1m
The tests are organized into several files and folders:
client_test.go
: Client configuration and error handlingchat_test.go
: Chat completion functionalitychat_stream_test.go
: Chat streaming functionalitymodels_test.go
: Model listing and retrievalbalance_test.go
: Account balance operationstokens_test.go
: Token estimation utilitiesjson_test.go
: JSON mode for extractionfim_test.go
: Tests for the FIM beta implementation
requestHandler_test.go
: Tests for the request handlerresponseHandler_test.go
: Tests for the response handler
utils/requestBuilder_test.go
: Tests for the request builder
-
Run all tests (requires API key):
go test -v ./...
-
Run tests in short mode (skips API calls):
go test -v -short ./...
-
Run tests with race detection:
go test -v -race ./...
-
Run tests with coverage:
go test -v -coverprofile=coverage.txt -covermode=atomic ./...
View coverage in browser:
go tool cover -html=coverage.txt
-
Run specific test:
# Example: Run only chat completion tests go test -v -run TestCreateChatCompletion ./...
This project is licensed under the MIT License. See the LICENSE file for details.
chat.go
Inspiration: Adapted from sashabaranov/go-openai.json.go
Inspiration: Thanks a lot for Mr. Peter.
Feel free to contribute, open issues, or submit PRs to help improve Deepseek-Go! Let us know if you encounter any issues.