docs: provider config (#653)
close: #651 Hi! @tibo-openai 👋 Could you share some great examples of `instructions.md` files? Thanks! --------- Co-authored-by: Thibault Sottiaux <tibo@openai.com>
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README.md
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README.md
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- [Tracing / Verbose Logging](#tracing--verbose-logging)
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- [Recipes](#recipes)
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- [Installation](#installation)
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- [Configuration](#configuration)
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- [Configuration Guide](#configuration-guide)
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- [Basic Configuration Parameters](#basic-configuration-parameters)
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- [Custom AI Provider Configuration](#custom-ai-provider-configuration)
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- [History Configuration](#history-configuration)
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- [Configuration Examples](#configuration-examples)
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- [Full Configuration Example](#full-configuration-example)
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- [Custom Instructions](#custom-instructions)
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- [Environment Variables Setup](#environment-variables-setup)
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- [FAQ](#faq)
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- [Zero Data Retention (ZDR) Usage](#zero-data-retention-zdr-usage)
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- [Codex Open Source Fund](#codex-open-source-fund)
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@@ -315,20 +322,53 @@ pnpm link
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---
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## Configuration
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## Configuration Guide
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Codex looks for config files in **`~/.codex/`** (either YAML or JSON format).
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Codex configuration files can be placed in the `~/.codex/` directory, supporting both YAML and JSON formats.
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### Basic Configuration Parameters
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| Parameter | Type | Default | Description | Available Options |
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| ------------------- | ------- | ---------- | -------------------------------- | ---------------------------------------------------------------------------------------------- |
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| `model` | string | `o4-mini` | AI model to use | Any model name supporting OpenAI API |
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| `approvalMode` | string | `suggest` | AI assistant's permission mode | `suggest` (suggestions only)<br>`auto-edit` (automatic edits)<br>`full-auto` (fully automatic) |
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| `fullAutoErrorMode` | string | `ask-user` | Error handling in full-auto mode | `ask-user` (prompt for user input)<br>`ignore-and-continue` (ignore and proceed) |
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| `notify` | boolean | `true` | Enable desktop notifications | `true`/`false` |
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### Custom AI Provider Configuration
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In the `providers` object, you can configure multiple AI service providers. Each provider requires the following parameters:
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| Parameter | Type | Description | Example |
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| --------- | ------ | --------------------------------------- | ----------------------------- |
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| `name` | string | Display name of the provider | `"OpenAI"` |
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| `baseURL` | string | API service URL | `"https://api.openai.com/v1"` |
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| `envKey` | string | Environment variable name (for API key) | `"OPENAI_API_KEY"` |
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### History Configuration
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In the `history` object, you can configure conversation history settings:
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| Parameter | Type | Description | Example Value |
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| ------------------- | ------- | ------------------------------------------------------ | ------------- |
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| `maxSize` | number | Maximum number of history entries to save | `1000` |
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| `saveHistory` | boolean | Whether to save history | `true` |
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| `sensitivePatterns` | array | Patterns of sensitive information to filter in history | `[]` |
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### Configuration Examples
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1. YAML format (save as `~/.codex/config.yaml`):
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```yaml
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# ~/.codex/config.yaml
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model: o4-mini # Default model
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approvalMode: suggest # or auto-edit, full-auto
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fullAutoErrorMode: ask-user # or ignore-and-continue
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notify: true # Enable desktop notifications for responses
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model: o4-mini
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approvalMode: suggest
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fullAutoErrorMode: ask-user
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notify: true
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```
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2. JSON format (save as `~/.codex/config.json`):
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```json
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// ~/.codex/config.json
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{
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"model": "o4-mini",
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"approvalMode": "suggest",
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@@ -337,12 +377,85 @@ notify: true # Enable desktop notifications for responses
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}
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```
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You can also define custom instructions:
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### Full Configuration Example
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```yaml
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# ~/.codex/instructions.md
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Below is a comprehensive example of `config.json` with multiple custom providers:
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```json
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{
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"model": "o4-mini",
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"provider": "openai",
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"providers": {
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"openai": {
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"name": "OpenAI",
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"baseURL": "https://api.openai.com/v1",
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"envKey": "OPENAI_API_KEY"
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},
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"openrouter": {
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"name": "OpenRouter",
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"baseURL": "https://openrouter.ai/api/v1",
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"envKey": "OPENROUTER_API_KEY"
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},
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"gemini": {
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"name": "Gemini",
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"baseURL": "https://generativelanguage.googleapis.com/v1beta/openai",
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"envKey": "GEMINI_API_KEY"
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},
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"ollama": {
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"name": "Ollama",
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"baseURL": "http://localhost:11434/v1",
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"envKey": "OLLAMA_API_KEY"
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},
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"mistral": {
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"name": "Mistral",
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"baseURL": "https://api.mistral.ai/v1",
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"envKey": "MISTRAL_API_KEY"
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},
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"deepseek": {
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"name": "DeepSeek",
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"baseURL": "https://api.deepseek.com",
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"envKey": "DEEPSEEK_API_KEY"
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},
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"xai": {
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"name": "xAI",
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"baseURL": "https://api.x.ai/v1",
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"envKey": "XAI_API_KEY"
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},
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"groq": {
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"name": "Groq",
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"baseURL": "https://api.groq.com/openai/v1",
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"envKey": "GROQ_API_KEY"
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}
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},
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"history": {
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"maxSize": 1000,
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"saveHistory": true,
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"sensitivePatterns": []
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}
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}
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```
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### Custom Instructions
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You can create a `~/.codex/instructions.md` file to define custom instructions:
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```markdown
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- Always respond with emojis
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- Only use git commands if I explicitly mention you should
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- Only use git commands when explicitly requested
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```
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### Environment Variables Setup
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For each AI provider, you need to set the corresponding API key in your environment variables. For example:
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```bash
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# OpenAI
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export OPENAI_API_KEY="your-api-key-here"
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# OpenRouter
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export OPENROUTER_API_KEY="your-openrouter-key-here"
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# Similarly for other providers
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```
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---
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