ai
Eden AI CLI for Coding Agents
Use the Eden AI CLI for coding agents with headless JSON commands, schema discovery, credentials, and permission controls.
6 functions 4 read 2 write API key auth
Eden AI CLI for Coding Agents
Let coding agents discover schemas and execute integration functions through CLI commands or MCP.
Use this pattern when another coding agent needs exact commands and schema discovery. The Eden AI CLI uses the same integration registry as the TUI, Lua runtime, and MCP gateway, but returns predictable command output for automation.
Command Shape
# Eden AI CLI for Coding Agents
kosmokrator integrations:configure eden-ai --set api_key="$EDEN_AI_API_KEY" --enable --read allow --write ask --json
kosmo integrations:call eden-ai.edenai_generate_text '{"providers":"example_providers","text":"example_text","conversation":"example_conversation","temperature":1,"max_tokens":1,"fallback_providers":"example_fallback_providers"}' --jsonDiscovery Before Execution
Agents and scripts can inspect Eden AI docs and schemas before choosing a function.
kosmo integrations:docs eden-ai --json
kosmo integrations:docs eden-ai.edenai_generate_text --json
kosmo integrations:schema eden-ai.edenai_generate_text --json
kosmo integrations:search "Eden AI" --json
kosmo integrations:list --jsonUseful Eden AI CLI Functions
| Function | Type | Parameters | Description |
|---|---|---|---|
eden-ai.edenai_generate_text | Write | providers, text, conversation, temperature, max_tokens, fallback_providers | Generate text using AI models via Eden AI. Supports providers like OpenAI (GPT-4), Anthropic (Claude), Google (Gemini), Mistral, Cohere, and more. You can send a single prompt or a conversation history. |
eden-ai.edenai_analyze_image | Read | providers, image_url, image_base64, features, fallback_providers | Analyze images using AI models via Eden AI. Supports object detection, explicit content detection, scene description, and more. Provide an image as a URL or base64-encoded string. |
eden-ai.edenai_translate_text | Write | providers, text, source_language, target_language, fallback_providers | Translate text between languages using AI models via Eden AI. Supports providers like Google Translate, DeepL, Amazon Translate, Microsoft Translator, and more. Detects the source language automatically if not specified. |
eden-ai.edenai_transcribe_audio | Read | providers, audio_url, audio_base64, language, speakers, fallback_providers | Transcribe audio or video to text using AI models via Eden AI. Supports providers like OpenAI (Whisper), Google Speech-to-Text, Amazon Transcribe, Microsoft Azure, and more. Provide audio as a URL or base64-encoded string. |
eden-ai.edenai_ocr | Read | providers, document_url, document_base64, language, fallback_providers | Extract text from images and documents using OCR via Eden AI. Supports providers like Google Cloud Vision, Amazon Textract, Microsoft Azure, and more. This is an async operation — the response may contain a public_job_id for tracking. Provide the document as a URL or base64-encoded string. |
eden-ai.edenai_get_current_user | Read | none | Get the current Eden AI user's account information, including email, plan, and usage details. Useful for verifying API connectivity and checking account status. |
Automation Notes
- Use
--jsonfor machine-readable output. - Keep credentials out of argv by using environment variables or stored KosmoKrator configuration.
- Configure read/write policy before unattended runs; use
--forceonly for trusted automation. - Use the MCP gateway instead when the agent needs dynamic tool discovery inside a conversation.