IDE & SDK Compatibility

Overview

LemonData exposes multiple API formats so common coding tools, SDKs, and frameworks can integrate with minimal glue code. This page is intentionally narrower than a marketing matrix:

Supported means we document a concrete setup path and LemonData exposes the protocol shape that path expects.
Strong native path means the repo also has direct adapter or request-format evidence for that protocol family.
Best-effort means the integration can work, but the upstream client does not treat this custom gateway workflow as a stable contract.

Unsupported fields are not handled uniformly. On compatibility routes, some fields are ignored or normalized. On native Responses paths, unsupported fields can return explicit 400 or 503 errors when the selected model or routed channel does not support the required passthrough behavior.

Supported API Formats

Endpoint	Format	Use Case
`/v1/chat/completions`	OpenAI Chat	Universal compatibility
`/v1/responses`	OpenAI Responses	Stateful conversations
`/v1/messages`	Anthropic Messages	Claude native features
`/v1beta/models/:model:generateContent`	Google Gemini	Gemini native features

IDE & CLI Compatibility

Documented Tool Paths

Tool	Support Level	Format	Notes
Cursor	Supported with limits	OpenAI-compatible	Works for BYOK standard chat/editor flows, not as a replacement for Cursor-managed features like Tab Completion
Claude Code CLI	Strong native path	Anthropic	Native `/v1/messages` route with adapter coverage for thinking and `tool_choice`
Codex CLI	Supported with model/channel limits	OpenAI Responses	Best when configured for `/v1/responses`; some Responses-native fields require native passthrough support from the selected model and channel
Gemini CLI	Best-effort / experimental	Gemini	Custom LemonData base URL flow is not a stable upstream contract
OpenCode	Supported	OpenAI-compatible	Use an OpenAI-compatible provider by default; move to a Responses-based provider only when you explicitly need it

Other OpenAI-compatible editors and agent tools often work with the same base URL pattern, but this repo does not currently maintain tool-specific regression coverage for Windsurf, Aider, Continue.dev, Cline/Roo Code, GitHub Copilot, and similar clients.

Configuration Examples

Cursor
Claude Code
OpenCode
Aider

Base URL: https://api.lemondata.cc/v1
API Key: sk-your-lemondata-key

Cursor uses Anthropic-style tool format internally. LemonData supports both:

OpenAI format: { type: "function", function: { name, parameters } }
Anthropic format: { name, input_schema } (no type field)

export ANTHROPIC_BASE_URL="https://api.lemondata.cc"
export ANTHROPIC_API_KEY="sk-your-lemondata-key"

export OPENAI_API_KEY="sk-your-lemondata-key"
export LOCAL_ENDPOINT="https://api.lemondata.cc/v1"

export OPENAI_API_KEY="sk-your-lemondata-key"
export OPENAI_BASE_URL="https://api.lemondata.cc/v1"
aider --model gpt-5.4

SDK Compatibility

Documented SDK & Framework Paths

SDK / Framework	Language	Support Level	Notes
OpenAI SDK	Python/JS/Go	Supported core path	Chat Completions, Embeddings, and common Responses workflows are documented; some Responses-native-only fields depend on model/channel passthrough support
Anthropic SDK	Python/JS	Strong native path	Native Messages route with direct evidence for tools, thinking, and prompt caching
Vercel AI SDK	TypeScript	Recommended integration pattern	Prefer `@ai-sdk/openai-compatible`; use `@ai-sdk/openai` only when you explicitly want Responses-native behavior
LangChain	Python/JS	Supported standard surfaces	`ChatOpenAI` and `OpenAIEmbeddings` are the intended scope; vendor-native extras are out of scope
LlamaIndex	Python	Supported via `OpenAILike`	Use `OpenAILike`, not the built-in OpenAI classes, for third-party gateways such as LemonData
Dify	-	Supported with scope limits	OpenAI provider and chat-completions-oriented flows are the intended path; not a fit for Codex-specific Responses or WebSocket behavior

Chat Completions Parameters

Core Parameters

Parameter	Type	Description
`model`	string	Model identifier (required)
`messages`	array	Conversation messages (required)
`max_tokens`	integer	Maximum output tokens
`temperature`	number	Sampling temperature (0-2)
`top_p`	number	Nucleus sampling (0-1)
`stream`	boolean	Enable streaming

Tool Calling

{
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "description": "Get weather for a location",
        "parameters": {
          "type": "object",
          "properties": {
            "location": { "type": "string" }
          }
        },
        "strict": true
      }
    }
  ],
  "tool_choice": "auto",
  "parallel_tool_calls": true
}

Tool Choice Options

Format	Example	Description
String	`"auto"`, `"none"`, `"required"`	Simple selection
OpenAI Object	`{ "type": "function", "function": { "name": "fn" } }`	Force specific function
Anthropic Object	`{ "type": "tool", "name": "fn", "disable_parallel_tool_use": true }`	Anthropic native format

Advanced Parameters

Parameter	Type	Description
`stream_options`	object	`{ include_usage: true }` for token counts
`reasoning_effort`	string	`"low"`, `"medium"`, `"high"` for reasoning-enabled GPT-5 models
`service_tier`	string	`"auto"` or `"default"`
`seed`	integer	Deterministic outputs
`logprobs`	boolean	Return log probabilities
`top_logprobs`	integer	Number of top logprobs (0-20)
`logit_bias`	object	Token bias map (-100 to 100)
`frequency_penalty`	number	Repetition penalty (-2 to 2)
`presence_penalty`	number	Topic penalty (-2 to 2)
`stop`	string/array	Stop sequences
`n`	integer	Number of completions (1-128)
`user`	string	User identifier for tracking

OpenAI Advanced Features

Parameter	Type	Description
`modalities`	array	`["text", "audio"]` for multimodal
`audio`	object	Audio output config (voice, format)
`prediction`	object	Predicted output for faster completion
`metadata`	object	Key-value pairs for tracking
`store`	boolean	Store for later retrieval

Provider-Specific Options

{
  "anthropic_options": {
    "thinking": {
      "type": "enabled",
      "budget_tokens": 10000
    },
    "prompt_caching": true
  },
  "google_options": {
    "safety_settings": [...],
    "google_search": true,
    "code_execution": true
  }
}

Anthropic Messages Parameters

Core Parameters

Parameter	Type	Description
`model`	string	Model identifier
`messages`	array	Conversation messages
`max_tokens`	integer	Maximum output (up to 128000)
`system`	string/array	System prompt
`stream`	boolean	Enable streaming

Tool Calling

{
  "tools": [
    {
      "name": "get_weather",
      "description": "Get weather",
      "input_schema": {
        "type": "object",
        "properties": {
          "location": { "type": "string" }
        }
      }
    }
  ],
  "tool_choice": {
    "type": "auto",
    "disable_parallel_tool_use": false
  }
}

Extended Thinking

{
  "model": "claude-opus-4-6",
  "thinking": {
    "type": "enabled",
    "budget_tokens": 10000
  }
}

Responses API Parameters

Core Parameters

Parameter	Type	Description
`model`	string	Model identifier
`input`	string/array	Input content
`instructions`	string	System instructions
`max_output_tokens`	integer	Maximum output tokens
`previous_response_id`	string	Continue conversation

Advanced Parameters

Parameter	Type	Description
`truncation_strategy`	string	`"auto"` or `"disabled"`
`include`	array	`["reasoning.encrypted_content"]`
`reasoning_effort`	string	For reasoning models
`service_tier`	string	Priority tier

Tool Format

Supports both OpenAI and Anthropic tool formats:

// OpenAI format
{ "type": "function", "name": "fn", "parameters": {...} }

// Anthropic format (Cursor compatibility)
{ "name": "fn", "input_schema": {...} }

Gemini API Parameters

Core Parameters

Parameter	Type	Description
`contents`	array	Conversation content
`systemInstruction`	object	System prompt
`generationConfig`	object	Generation settings

Tools

{
  "tools": [{
    "functionDeclarations": [{
      "name": "search",
      "description": "Search the web",
      "parameters": {...}
    }],
    "codeExecution": {},
    "googleSearch": {}
  }],
  "toolConfig": {
    "functionCallingConfig": {
      "mode": "AUTO"
    }
  }
}

Safety Settings

{
  "safetySettings": [
    {
      "category": "HARM_CATEGORY_HARASSMENT",
      "threshold": "BLOCK_MEDIUM_AND_ABOVE"
    }
  ]
}

Additional Parameters

Parameter	Type	Description
`cachedContent`	string	Cached content reference
`responseMimeType`	string	`"text/plain"` or `"application/json"`
`responseSchema`	object	JSON schema for structured output

Streaming

All endpoints support Server-Sent Events (SSE) streaming:

# Chat Completions
curl https://api.lemondata.cc/v1/chat/completions \
  -H "Authorization: Bearer sk-xxx" \
  -d '{"model": "gpt-4o", "messages": [...], "stream": true}'

# With usage tracking
-d '{"...", "stream_options": {"include_usage": true}}'

Error Handling

LemonData returns OpenAI-compatible error responses:

{
  "error": {
    "message": "Invalid API key",
    "type": "invalid_api_key",
    "code": "invalid_api_key"
  }
}

See Error Handling Guide for details.

Best Practices

Use passthrough for unknown parameters

All schemas use .passthrough() - unknown parameters are forwarded to upstream providers.

Prefer stream_options for accurate billing

Enable stream_options.include_usage for accurate token counts in streaming responses.

Use appropriate tool_choice format

Match your SDK’s expected format. LemonData accepts both OpenAI and Anthropic formats.

Compatibility Matrix

Coding Tools

Native SDKs

Frameworks & Platforms

Chat Apps

IDE & SDK Compatibility

Overview

Supported API Formats

IDE & CLI Compatibility

Documented Tool Paths

Configuration Examples

SDK Compatibility

Documented SDK & Framework Paths

Chat Completions Parameters

Core Parameters

Tool Calling

Tool Choice Options

Advanced Parameters

OpenAI Advanced Features

Provider-Specific Options

Anthropic Messages Parameters

Core Parameters

Tool Calling

Extended Thinking

Responses API Parameters

Core Parameters

Advanced Parameters

Tool Format

Gemini API Parameters

Core Parameters

Tools

Safety Settings

Additional Parameters

Streaming

Error Handling

Best Practices

Compatibility Matrix

Coding Tools

Native SDKs

Frameworks & Platforms

Chat Apps

​Overview

​Supported API Formats

​IDE & CLI Compatibility

​Documented Tool Paths

​Configuration Examples

​SDK Compatibility

​Documented SDK & Framework Paths

​Chat Completions Parameters

​Core Parameters

​Tool Calling

​Tool Choice Options

​Advanced Parameters

​OpenAI Advanced Features

​Provider-Specific Options

​Anthropic Messages Parameters

​Core Parameters

​Tool Calling

​Extended Thinking

​Responses API Parameters

​Core Parameters

​Advanced Parameters

​Tool Format

​Gemini API Parameters

​Core Parameters

​Tools

​Safety Settings

​Additional Parameters

​Streaming

​Error Handling

​Best Practices

Overview

Supported API Formats

IDE & CLI Compatibility

Documented Tool Paths

Configuration Examples

SDK Compatibility

Documented SDK & Framework Paths

Chat Completions Parameters

Core Parameters

Tool Calling

Tool Choice Options

Advanced Parameters

OpenAI Advanced Features

Provider-Specific Options

Anthropic Messages Parameters

Core Parameters

Tool Calling

Extended Thinking

Responses API Parameters

Core Parameters

Advanced Parameters

Tool Format

Gemini API Parameters

Core Parameters

Tools

Safety Settings

Additional Parameters

Streaming

Error Handling

Best Practices