doc: Improve PuterAI module documentation structure (#1216)

* docs: improve PuterAI module documentation structure

- Update docmeta.md to describe top-level doc structure\n- Create README.md for PuterAI module documentation\n- Move requests.md content to api_examples.md\n- Add ai_usage_testing.md in contributors directory\n\nCloses #1215\n\nai: true

* docs: remove original requests.md after content migration

Content has been migrated to api_examples.md with improved organization and structure.\n\nai: true
This commit is contained in:
Eric Dubé
2025-03-24 17:52:00 -04:00
committed by GitHub
parent 6a3b20f0a8
commit c683b812bc
4 changed files with 109 additions and 4 deletions

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@@ -18,6 +18,20 @@ From [./contributors/structure.md](./contributors/structure.md):
> the index file for the documentation. All documentation under a `doc`
> directory should be accessible via a path of links starting from `README.md`.
### Documentation Structure
The top-level `doc` directory contains the following subdirectories:
- `api/` - API documentation for Puter services
- `contributors/` - Documentation for contributors to the Puter project
- `devmeta/` - Meta documentation for developers
- `i18n/` - Internationalization documentation
- `planning/` - Project planning documentation
- `self-hosters/` - Documentation for self-hosting Puter
- `uncategorized/` - Miscellaneous documentation
Module-specific documentation follows a similar structure, with each module having its own `doc` directory. For contributor-specific documentation within a module, use a `contributors` subdirectory within the module's `doc` directory.
## Docs Styleguide
### "is" and "is not"

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@@ -0,0 +1,24 @@
# PuterAI Documentation
This directory contains documentation for the PuterAI module, which provides AI services integration for the Puter platform.
## Contents
### General Documentation
- [Configuration](./config.md) - General configuration for PuterAI
- [AI Services Configuration](./ai-services-config.md) - Configuration for specific AI services
### API Examples
- [API Request Examples](./api_examples.md) - Examples of API requests to PuterAI services
### For Contributors
Documentation for contributors can be found in the [contributors](./contributors/) directory:
- [AI Usage Testing](./contributors/ai_usage_testing.md) - Guide for testing and reporting AI usage
## Related Documentation
For more information about the overall Puter documentation structure, see the [documentation meta guide](../../../../../doc/docmeta.md).

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@@ -1,3 +1,11 @@
# PuterAI API Request Examples
This document provides examples of API requests to the PuterAI services. These examples demonstrate how to interact with various AI capabilities of the Puter platform.
## OCR (Optical Character Recognition)
Example of using AWS Textract for OCR:
```javascript
await (await fetch("http://api.puter.localhost:4100/drivers/call", {
"headers": {
@@ -16,6 +24,10 @@ await (await fetch("http://api.puter.localhost:4100/drivers/call", {
})).json();
```
## Chat Completion
Example of using OpenAI for chat completion:
```javascript
await (await fetch("http://api.puter.localhost:4100/drivers/call", {
"headers": {
@@ -43,6 +55,10 @@ await (await fetch("http://api.puter.localhost:4100/drivers/call", {
})).json();
```
## Image Generation
Example of using OpenAI for image generation:
```javascript
URL.createObjectURL(await (await fetch("http://api.puter.localhost:4100/drivers/call", {
"headers": {
@@ -61,7 +77,9 @@ URL.createObjectURL(await (await fetch("http://api.puter.localhost:4100/drivers/
})).blob());
```
### Tool Use
## Tool Use
Example of using tool functions with AI:
```javascript
await puter.ai.chat('What\'s the weather like in Vancouver?', {
@@ -89,6 +107,8 @@ await puter.ai.chat('What\'s the weather like in Vancouver?', {
})
```
Example with tool response:
```javascript
await puter.ai.chat([
{ content: `What's the weather like in Vancouver?` },
@@ -137,7 +157,9 @@ await puter.ai.chat([
})
```
### Claude Tool Use with Streaming
## Claude Tool Use with Streaming
Example of using Claude with streaming:
```javascript
gen = await puter.ai.chat('What\'s the weather like in Vancouver?', {
@@ -182,7 +204,8 @@ Last item in the stream looks like this:
}
```
Respond like this:
Responding to tool use:
```javascript
gen = await puter.ai.chat([
{ role: 'user', content: `What's the weather like in Vancouver?` },
@@ -229,4 +252,4 @@ gen = await puter.ai.chat([
]
})
for await ( const item of gen ) { console.log(item) }
```
```

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@@ -0,0 +1,44 @@
# AI Usage Testing and Reporting
This document provides guidance for testing and reporting AI usage in the Puter platform.
## Manual Testing for AI Usage Reporting
When testing AI usage reporting and tracking, it's sometimes necessary to manipulate the timestamps of usage records for testing purposes. This can be useful for validating reporting over specific time periods or for troubleshooting issues with usage limits.
### Backdating AI Usage Records
To move all records in the `ai_usage` table back by one week, you can use the following SQL query for SQLite:
```sql
UPDATE ai_usage
SET created_at = datetime(created_at, '-7 days');
```
This query updates the `created_at` timestamp for all records in the table, shifting them back by 7 days.
### Common Testing Scenarios
1. **Testing daily usage limits**: Backdate some records to earlier in the current day to test daily usage limit calculations.
2. **Testing monthly reports**: Distribute usage records across a month to validate monthly usage reports.
3. **Testing billing cycles**: Adjust record timestamps to span multiple billing cycles to ensure proper attribution.
## Usage Table Structure
The `ai_usage` table tracks all AI service usage with the following key fields:
- `user_id`: The user who made the request
- `service_name`: The AI service that was used (e.g., 'openai', 'claude')
- `model_name`: The specific model that was used
- `cost`: Expected cost in microcents (µ¢)
- `value_uint_1`: Input tokens
- `value_uint_2`: Output tokens
- `created_at`: When the usage occurred
For the complete table definition, see the [ai_usage table schema](../../../../services/database/sqlite_setup/0033_ai-usage.sql).
## Resetting Test Data
After testing, you may want to reset the timestamps to their original values. This is only possible if you've kept a backup of the original data or timestamps.