ChatGPT (GPT-3.5-turbo) API Client in Golang

Q: What can ChatGPT (GPT-3.5-turbo) API Client in Golang do?

openai gpt-3.5-turbo api client with streaming support, chat message history management with role-based formatting, request-response and streaming mode selection with unified interface, server-sent event (sse) parsing for token-by-token streaming, bearer token authentication with openai api key injection, http error response handling with api error message extraction, json request/response marshaling with openai api contract compliance

RepositoryFree

### Chrome Extensions

Open Source

/ 100

7 capabilities

Capabilities7 decomposed

openai gpt-3.5-turbo api client with streaming support

Medium confidence

Provides a Go wrapper around OpenAI's GPT-3.5-turbo API that handles HTTP request construction, authentication via Bearer tokens, and response parsing. Implements both standard request-response and server-sent event (SSE) streaming patterns to consume the API's streaming endpoint, allowing real-time token-by-token consumption of model outputs without buffering the entire response.

Solves for

I need to call GPT-3.5-turbo from a Go application without managing raw HTTP detailsI want to stream model responses token-by-token for real-time UI updates or processingI need to handle authentication and error responses from OpenAI's API automatically

Best for

Go developers building CLI tools, backends, or services that need LLM integration

Teams migrating from Python OpenAI SDK to Go for performance-critical applications

Developers prototyping chatbots or agents in Go without external SDK dependencies

Requires

Go 1.16 or later

Valid OpenAI API key with GPT-3.5-turbo access

Network connectivity to api.openai.com

Limitations

No built-in retry logic or exponential backoff — caller must implement error handling

Streaming implementation relies on SSE parsing which may not handle malformed event streams gracefully

No request validation before sending to API — invalid parameters fail at API call time, not client-side

What makes it unique

Lightweight Go-native wrapper that avoids heavy SDK dependencies by directly implementing OpenAI's HTTP API contract, with explicit streaming support via SSE parsing rather than relying on third-party HTTP client abstractions

vs alternatives

Simpler and more portable than the official OpenAI Go SDK for basic use cases, with lower memory overhead for streaming applications, though lacking advanced features like function calling and automatic retries

chat message history management with role-based formatting

Medium confidence

Manages a sequence of chat messages with structured role (system, user, assistant) and content fields, formatting them into the JSON array structure required by OpenAI's chat completion API. Handles message ordering, role validation, and serialization to ensure API-compliant payloads without manual JSON construction by the caller.

Solves for

I need to build a conversation history and send it to GPT-3.5-turbo without manually constructing JSONI want to maintain system prompts, user queries, and assistant responses in a structured wayI need to validate that messages have correct roles before sending to the API

Best for

Go developers building multi-turn conversational agents or chatbots

Teams implementing context-aware LLM applications where message history is critical

Developers who want type-safe message handling instead of raw maps or untyped JSON

Requires

Go 1.16 or later

Understanding of OpenAI's message role taxonomy (system, user, assistant)

Limitations

No built-in message truncation or summarization — caller must manage context window limits manually

No support for message metadata (timestamps, user IDs, source tracking) — only role and content

No persistence layer — messages exist only in memory; requires external storage for durability

What makes it unique

Provides explicit Go struct types for message roles and content rather than generic maps, enabling compile-time type checking and IDE autocomplete for chat message construction

vs alternatives

More type-safe than raw JSON construction or map-based approaches, reducing runtime errors from malformed message structures compared to untyped alternatives

request-response and streaming mode selection with unified interface

Medium confidence

Abstracts two distinct API consumption patterns — synchronous request-response and asynchronous server-sent event streaming — behind a unified client interface. Allows callers to switch between modes (buffered vs. streamed) without changing core request construction logic, routing to either standard HTTP POST or streaming endpoint based on configuration.

Solves for

I want to use the same client code for both streaming and non-streaming requestsI need to decide at runtime whether to buffer the full response or stream tokens as they arriveI want a clean abstraction that hides the complexity of SSE parsing from my application logic

Best for

Go applications that need flexible response handling (streaming for UI, buffered for batch processing)

Teams building hybrid systems where some requests need real-time feedback and others need complete responses

Developers who want to avoid duplicating request logic across streaming and non-streaming code paths

Requires

Go 1.16 or later

Understanding of both synchronous and asynchronous API patterns

Limitations

Streaming and non-streaming modes use different response types — caller must handle type assertions or separate code paths

No automatic fallback from streaming to buffered mode on network errors

Streaming mode requires manual iteration over event stream — no built-in aggregation of streamed tokens

What makes it unique

Provides a single client struct that internally routes to different API endpoints and response handlers based on a streaming flag, avoiding code duplication while maintaining type safety for both modes

vs alternatives

Cleaner than maintaining separate streaming and non-streaming client classes, with less boilerplate than manually switching between different HTTP libraries for each mode

server-sent event (sse) parsing for token-by-token streaming

Medium confidence

Implements SSE protocol parsing to consume OpenAI's streaming endpoint, extracting JSON-encoded token deltas from each event line and yielding them to the caller. Handles SSE framing (data: prefix, newline delimiters), JSON unmarshaling of delta objects, and stream termination detection via [DONE] markers without requiring external SSE libraries.

Solves for

I need to consume GPT-3.5-turbo's streaming response token-by-token for real-time displayI want to process each token delta as it arrives without waiting for the full responseI need to handle stream termination and error events in the SSE format

Best for

Go developers building real-time chat UIs or streaming output displays

Teams implementing token-counting or cost-tracking that requires per-token visibility

Applications where latency-sensitive processing benefits from immediate token availability

Requires

Go 1.16 or later

HTTP client with streaming response body support

Understanding of SSE protocol and OpenAI's delta message format

Limitations

No built-in handling of malformed SSE frames — invalid JSON or missing data: prefix causes parsing errors

No automatic reconnection or resume on stream interruption — network failures terminate the stream

Assumes [DONE] marker format; may break if OpenAI changes stream termination protocol

What makes it unique

Implements SSE parsing from first principles using Go's bufio.Scanner and JSON unmarshaling rather than relying on external SSE libraries, keeping dependencies minimal and giving fine-grained control over frame handling

vs alternatives

More lightweight than generic SSE libraries and avoids dependency bloat, though less robust than battle-tested streaming libraries for handling edge cases in malformed streams

bearer token authentication with openai api key injection

Medium confidence

Injects OpenAI API keys into HTTP request headers as Bearer tokens in the Authorization header, following OAuth 2.0 bearer token convention. Accepts API keys as configuration at client initialization and automatically applies them to all outbound requests without requiring caller-side header management.

Solves for

I need to authenticate requests to OpenAI's API without manually managing Authorization headersI want to pass my API key once at client creation and have it applied to all requests automaticallyI need to ensure my API key is not exposed in logs or error messages

Best for

Go developers building production services that need secure API credential handling

Teams implementing multi-tenant systems where API keys are per-user or per-organization

Applications requiring credential rotation or key management without code changes

Requires

Valid OpenAI API key with GPT-3.5-turbo access

Go 1.16 or later

Limitations

No built-in key rotation or expiration handling — expired keys fail at API call time

API key is stored in plaintext in memory — no encryption at rest within the client

No support for API key validation before making requests — invalid keys only fail when API is called

What makes it unique

Implements simple Bearer token injection at the HTTP middleware level, avoiding the need for caller-side header management while keeping the authentication mechanism transparent and testable

vs alternatives

Simpler than OAuth 2.0 flows for API key authentication, with less overhead than external auth libraries, though lacking advanced features like key rotation or multi-factor authentication

http error response handling with api error message extraction

Medium confidence

Parses HTTP error responses from OpenAI's API, extracting structured error messages and status codes to provide meaningful feedback to callers. Maps HTTP status codes (401, 429, 500, etc.) to semantic error types and includes the API's error message body in the returned error, avoiding generic HTTP status code errors.

Solves for

I need to understand why an API call failed (auth error, rate limit, server error) without parsing raw HTTP responsesI want to implement retry logic that distinguishes between retryable (429, 5xx) and non-retryable (401, 400) errorsI need to surface meaningful error messages to end users instead of generic HTTP status codes

Best for

Go developers building production services that need robust error handling and user-facing error messages

Teams implementing retry logic that depends on error type classification

Applications requiring detailed logging of API failures for debugging and monitoring

Requires

Go 1.16 or later

HTTP response with error status code (4xx, 5xx)

Limitations

No automatic retry logic — caller must implement retry strategy based on error type

Error message extraction assumes OpenAI's JSON error format — may fail if API changes response structure

No support for partial errors (e.g., some messages succeeded, some failed in batch requests)

What makes it unique

Extracts and wraps OpenAI's structured error responses into Go error types, providing semantic error classification (auth, rate limit, server error) rather than generic HTTP status codes

vs alternatives

More informative than raw HTTP status code errors, with better support for conditional error handling than generic error wrapping, though lacking automatic retry logic found in higher-level SDKs

json request/response marshaling with openai api contract compliance

Medium confidence

Automatically marshals Go structs into JSON payloads conforming to OpenAI's chat completion API contract, and unmarshals JSON responses back into typed Go structs. Handles field naming conventions (camelCase in JSON, PascalCase in Go), optional fields, and nested structures without requiring manual JSON tag management by callers.

Solves for

I need to send structured requests to OpenAI's API without manually constructing JSON stringsI want type-safe response parsing that catches schema mismatches at compile timeI need to ensure my requests conform to OpenAI's API schema without manual validation

Best for

Go developers who prefer type safety over dynamic JSON construction

Teams building APIs that wrap OpenAI's API and need to validate request/response schemas

Applications where compile-time type checking reduces runtime errors

Requires

Go 1.16 or later

Understanding of Go struct tags and JSON marshaling

Limitations

No schema validation — invalid field values are not caught until API responds with an error

No support for API schema versioning — changes to OpenAI's API require code updates

Struct tags are tightly coupled to OpenAI's JSON format — refactoring field names requires updating tags

What makes it unique

Uses Go's standard library json.Marshal/Unmarshal with struct tags to enforce API contract compliance at the type level, avoiding manual JSON construction while maintaining zero external dependencies

vs alternatives

More type-safe than raw JSON construction or map-based approaches, with better IDE support and compile-time checking than dynamic JSON libraries, though less flexible for handling schema variations

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Related Artifactssharing capabilities

Artifacts that share capabilities with ChatGPT (GPT-3.5-turbo) API Client in Golang, ranked by overlap. Discovered automatically through the match graph.

Repository25

Unofficial API in Python

[TLS-based API (Python)](https://github.com/rawandahmad698/PyChatGPT)

official openai api wrapper with conversation state managementstreaming response handling with real-time token delivery

2 shared capabilities

Repository24

Go Telegram bot

[Twitter Bot](https://github.com/transitive-bullshit/chatgpt-twitter-bot) powered by ChatGPT

openai api integration with session token authenticationreal-time streaming message relay from telegram to chatgpt

2 shared capabilities

Repository24

Serverless Telegram bot

[WhatsApp bot](https://github.com/danielgross/whatsapp-gpt)

openai api integration with streaming response handling

1 shared capability

Repository24

ChatGPT Code Review

[Kubernetes and Prometheus ChatGPT Bot](https://github.com/robusta-dev/kubernetes-chatgpt-bot)

openai api integration with streaming response handling

1 shared capability

Repository23

Voice-based chatGPT

[Explain your runtime errors with ChatGPT](https://github.com/shobrook/stackexplain)

openai-api-integration-with-conversation-protocol

1 shared capability

Repository23

Unofficial API in JS/TS

[Unofficial API in Dart](https://github.com/MisterJimson/chatgpt_api_dart)

streaming response handling for real-time message delivery

1 shared capability

Best For

✓Go developers building CLI tools, backends, or services that need LLM integration
✓Teams migrating from Python OpenAI SDK to Go for performance-critical applications
✓Developers prototyping chatbots or agents in Go without external SDK dependencies
✓Go developers building multi-turn conversational agents or chatbots
✓Teams implementing context-aware LLM applications where message history is critical
✓Developers who want type-safe message handling instead of raw maps or untyped JSON
✓Go applications that need flexible response handling (streaming for UI, buffered for batch processing)
✓Teams building hybrid systems where some requests need real-time feedback and others need complete responses

Known Limitations

⚠No built-in retry logic or exponential backoff — caller must implement error handling
⚠Streaming implementation relies on SSE parsing which may not handle malformed event streams gracefully
⚠No request validation before sending to API — invalid parameters fail at API call time, not client-side
⚠No support for function calling or tool use — only text-in, text-out conversation
⚠No built-in rate limiting or request queuing — concurrent requests may hit API limits
⚠No built-in message truncation or summarization — caller must manage context window limits manually

Requirements

Go 1.16 or laterValid OpenAI API key with GPT-3.5-turbo accessNetwork connectivity to api.openai.comUnderstanding of OpenAI's chat completion API contractUnderstanding of OpenAI's message role taxonomy (system, user, assistant)Understanding of both synchronous and asynchronous API patternsHTTP client with streaming response body supportUnderstanding of SSE protocol and OpenAI's delta message format

Input / Output

Accepts: JSON-formatted chat messages (role, content pairs), String API key for authentication, String role (system, user, assistant), String content (message text), Configuration flag or parameter to select streaming mode, Chat message array (same for both modes), HTTP response body with Content-Type: text/event-stream, SSE-formatted text lines (data: {json}), String API key (passed at client initialization), HTTP response with error status code, JSON error body from OpenAI API, Go structs with json tags, JSON strings from OpenAI API responses

Produces: JSON-structured chat completion responses, Server-sent events (SSE) stream of token deltas for streaming mode, JSON array of message objects, Serialized chat history for API transmission, Full response struct (non-streaming mode), Channel or iterator of token delta events (streaming mode), Parsed delta objects (choice, delta content), Stream termination signal ([DONE] marker), HTTP Authorization header with Bearer token, Structured error object with status code and message, Semantic error type for conditional handling, JSON request payloads, Typed Go structs from JSON responses

UnfragileRank

Adoption15%(30% weight)

Quality16%(20% weight)

Ecosystem30%(15% weight)

Match Graph25%(30% weight)

Freshness75%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: Repository

7 capabilities

Visit ChatGPT (GPT-3.5-turbo) API Client in Golang→

About

### Chrome Extensions

Alternatives to ChatGPT (GPT-3.5-turbo) API Client in Golang

IntelliCode46Extension

AI-assisted development

Compare →

GitHub Copilot Chat49Extension

AI chat features powered by Copilot

Compare →

GitHub Copilot48Extension

Your AI pair programmer

Compare →

Claude Code for VS Code48Extension

Claude Code for VS Code: Harness the power of Claude Code without leaving your IDE

Compare →

Are you the builder of ChatGPT (GPT-3.5-turbo) API Client in Golang?

Claim this artifact to get a verified badge, access match analytics, see which intents users search for, and manage your listing.

Claim this artifact →Verification via email

Get the weekly brief

New tools, rising stars, and what's actually worth your time. No spam.

Data Sources

github awesome

Looking for something else?

Search →

Capabilities7 decomposed

openai gpt-3.5-turbo api client with streaming support

Medium confidence

Solves for

Best for

Go developers building CLI tools, backends, or services that need LLM integration

Teams migrating from Python OpenAI SDK to Go for performance-critical applications

Developers prototyping chatbots or agents in Go without external SDK dependencies

Requires

Go 1.16 or later

Valid OpenAI API key with GPT-3.5-turbo access

Network connectivity to api.openai.com

Limitations

No built-in retry logic or exponential backoff — caller must implement error handling

Streaming implementation relies on SSE parsing which may not handle malformed event streams gracefully

No request validation before sending to API — invalid parameters fail at API call time, not client-side

What makes it unique

vs alternatives

chat message history management with role-based formatting

Medium confidence

Solves for

Best for

Go developers building multi-turn conversational agents or chatbots

Teams implementing context-aware LLM applications where message history is critical

Developers who want type-safe message handling instead of raw maps or untyped JSON

Requires

Go 1.16 or later

Understanding of OpenAI's message role taxonomy (system, user, assistant)

Limitations

No built-in message truncation or summarization — caller must manage context window limits manually

No support for message metadata (timestamps, user IDs, source tracking) — only role and content

No persistence layer — messages exist only in memory; requires external storage for durability

What makes it unique

Provides explicit Go struct types for message roles and content rather than generic maps, enabling compile-time type checking and IDE autocomplete for chat message construction

vs alternatives

More type-safe than raw JSON construction or map-based approaches, reducing runtime errors from malformed message structures compared to untyped alternatives

request-response and streaming mode selection with unified interface

Medium confidence

Solves for

Best for

Go applications that need flexible response handling (streaming for UI, buffered for batch processing)

Teams building hybrid systems where some requests need real-time feedback and others need complete responses

Developers who want to avoid duplicating request logic across streaming and non-streaming code paths

Requires

Go 1.16 or later

Understanding of both synchronous and asynchronous API patterns

Limitations

Streaming and non-streaming modes use different response types — caller must handle type assertions or separate code paths

No automatic fallback from streaming to buffered mode on network errors

Streaming mode requires manual iteration over event stream — no built-in aggregation of streamed tokens

What makes it unique

vs alternatives

Cleaner than maintaining separate streaming and non-streaming client classes, with less boilerplate than manually switching between different HTTP libraries for each mode

server-sent event (sse) parsing for token-by-token streaming

Medium confidence

Solves for

Best for

Go developers building real-time chat UIs or streaming output displays

Teams implementing token-counting or cost-tracking that requires per-token visibility

Applications where latency-sensitive processing benefits from immediate token availability

Requires

Go 1.16 or later

HTTP client with streaming response body support

Understanding of SSE protocol and OpenAI's delta message format

Limitations

No built-in handling of malformed SSE frames — invalid JSON or missing data: prefix causes parsing errors

No automatic reconnection or resume on stream interruption — network failures terminate the stream

Assumes [DONE] marker format; may break if OpenAI changes stream termination protocol

What makes it unique

vs alternatives

More lightweight than generic SSE libraries and avoids dependency bloat, though less robust than battle-tested streaming libraries for handling edge cases in malformed streams

bearer token authentication with openai api key injection

Medium confidence

Solves for

Best for

Go developers building production services that need secure API credential handling

Teams implementing multi-tenant systems where API keys are per-user or per-organization

Applications requiring credential rotation or key management without code changes

Requires

Valid OpenAI API key with GPT-3.5-turbo access

Go 1.16 or later

Limitations

No built-in key rotation or expiration handling — expired keys fail at API call time

API key is stored in plaintext in memory — no encryption at rest within the client

No support for API key validation before making requests — invalid keys only fail when API is called

What makes it unique

Implements simple Bearer token injection at the HTTP middleware level, avoiding the need for caller-side header management while keeping the authentication mechanism transparent and testable

vs alternatives

Simpler than OAuth 2.0 flows for API key authentication, with less overhead than external auth libraries, though lacking advanced features like key rotation or multi-factor authentication

http error response handling with api error message extraction

Medium confidence

Solves for

Best for

Go developers building production services that need robust error handling and user-facing error messages

Teams implementing retry logic that depends on error type classification

Applications requiring detailed logging of API failures for debugging and monitoring

Requires

Go 1.16 or later

HTTP response with error status code (4xx, 5xx)

Limitations

No automatic retry logic — caller must implement retry strategy based on error type

Error message extraction assumes OpenAI's JSON error format — may fail if API changes response structure

No support for partial errors (e.g., some messages succeeded, some failed in batch requests)

What makes it unique

Extracts and wraps OpenAI's structured error responses into Go error types, providing semantic error classification (auth, rate limit, server error) rather than generic HTTP status codes

vs alternatives

More informative than raw HTTP status code errors, with better support for conditional error handling than generic error wrapping, though lacking automatic retry logic found in higher-level SDKs

json request/response marshaling with openai api contract compliance

Medium confidence

Solves for

Best for

Go developers who prefer type safety over dynamic JSON construction

Teams building APIs that wrap OpenAI's API and need to validate request/response schemas

Applications where compile-time type checking reduces runtime errors

Requires

Go 1.16 or later

Understanding of Go struct tags and JSON marshaling

Limitations

No schema validation — invalid field values are not caught until API responds with an error

No support for API schema versioning — changes to OpenAI's API require code updates

Struct tags are tightly coupled to OpenAI's JSON format — refactoring field names requires updating tags

What makes it unique

Uses Go's standard library json.Marshal/Unmarshal with struct tags to enforce API contract compliance at the type level, avoiding manual JSON construction while maintaining zero external dependencies

vs alternatives

More type-safe than raw JSON construction or map-based approaches, with better IDE support and compile-time checking than dynamic JSON libraries, though less flexible for handling schema variations

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Alternatives to ChatGPT (GPT-3.5-turbo) API Client in Golang

IntelliCode46Extension

AI-assisted development

Compare →

GitHub Copilot Chat49Extension

AI chat features powered by Copilot

Compare →

GitHub Copilot48Extension

Your AI pair programmer

Compare →

Claude Code for VS Code48Extension

Claude Code for VS Code: Harness the power of Claude Code without leaving your IDE

Compare →

ChatGPT (GPT-3.5-turbo) API Client in Golang

Capabilities7 decomposed

openai gpt-3.5-turbo api client with streaming support

chat message history management with role-based formatting

request-response and streaming mode selection with unified interface

server-sent event (sse) parsing for token-by-token streaming

bearer token authentication with openai api key injection

http error response handling with api error message extraction

json request/response marshaling with openai api contract compliance

Related Artifactssharing capabilities

Unofficial API in Python

Go Telegram bot

Serverless Telegram bot

ChatGPT Code Review

Voice-based chatGPT

Unofficial API in JS/TS

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to ChatGPT (GPT-3.5-turbo) API Client in Golang

Are you the builder of ChatGPT (GPT-3.5-turbo) API Client in Golang?

Get the weekly brief

Data Sources

ChatGPT (GPT-3.5-turbo) API Client in Golang

Capabilities7 decomposed

openai gpt-3.5-turbo api client with streaming support

chat message history management with role-based formatting

request-response and streaming mode selection with unified interface

server-sent event (sse) parsing for token-by-token streaming

bearer token authentication with openai api key injection

http error response handling with api error message extraction

json request/response marshaling with openai api contract compliance

Related Artifactssharing capabilities

Unofficial API in Python

Go Telegram bot

Serverless Telegram bot

ChatGPT Code Review

Voice-based chatGPT

Unofficial API in JS/TS

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Categories

Alternatives to ChatGPT (GPT-3.5-turbo) API Client in Golang

Are you the builder of ChatGPT (GPT-3.5-turbo) API Client in Golang?

Get the weekly brief

Data Sources