Commit Graph

21 Commits

Author SHA1 Message Date
Sam 755b63f31f
FEATURE: Add support for Mistral models ()
Adds support for mistral models (pixtral and mistral large now have presets)

Also corrects token accounting in AWS bedrock models
2024-11-19 17:28:09 +11:00
Sam 0d7f353284
FEATURE: AI artifacts ()
This is a significant PR that introduces AI Artifacts functionality to the discourse-ai plugin along with several other improvements. Here are the key changes:

1. AI Artifacts System:
   - Adds a new `AiArtifact` model and database migration
   - Allows creation of web artifacts with HTML, CSS, and JavaScript content
   - Introduces security settings (`strict`, `lax`, `disabled`) for controlling artifact execution
   - Implements artifact rendering in iframes with sandbox protection
   - New `CreateArtifact` tool for AI to generate interactive content

2. Tool System Improvements:
   - Adds support for partial tool calls, allowing incremental updates during generation
   - Better handling of tool call states and progress tracking
   - Improved XML tool processing with CDATA support
   - Fixes for tool parameter handling and duplicate invocations

3. LLM Provider Updates:
   - Updates for Anthropic Claude models with correct token limits
   - Adds support for native/XML tool modes in Gemini integration
   - Adds new model configurations including Llama 3.1 models
   - Improvements to streaming response handling

4. UI Enhancements:
   - New artifact viewer component with expand/collapse functionality
   - Security controls for artifact execution (click-to-run in strict mode)
   - Improved dialog and response handling
   - Better error management for tool execution

5. Security Improvements:
   - Sandbox controls for artifact execution
   - Public/private artifact sharing controls
   - Security settings to control artifact behavior
   - CSP and frame-options handling for artifacts

6. Technical Improvements:
   - Better post streaming implementation
   - Improved error handling in completions
   - Better memory management for partial tool calls
   - Enhanced testing coverage

7. Configuration:
   - New site settings for artifact security
   - Extended LLM model configurations
   - Additional tool configuration options

This PR significantly enhances the plugin's capabilities for generating and displaying interactive content while maintaining security and providing flexible configuration options for administrators.
2024-11-19 09:22:39 +11:00
Keegan George 99282612a9
DEV: Prefer ENV key for seeded models ()
This PR ensures we prefer getting the API key from environment variables when it is a seeded model.
2024-11-05 06:19:13 -08:00
Sam 4923837165
FIX: Llm selector / forced tools / search tool ()
* FIX: Llm selector / forced tools / search tool


This fixes a few issues:

1. When search was not finding any semantic results we would break the tool
2. Gemin / Anthropic models did not implement forced tools previously despite it being an API option
3. Mechanics around displaying llm selector were not right. If you disabled LLM selector server side persona PM did not work correctly.
4. Disabling native tools for anthropic model moved out of a site setting. This deliberately does not migrate cause this feature is really rare to need now, people who had it set probably did not need it.
5. Updates anthropic model names to latest release

* linting

* fix a couple of tests I missed

* clean up conditional
2024-10-25 06:24:53 +11:00
Hoa Nguyen 94010a5f78
FEATURE: Tools for models from Ollama provider ()
Adds support for Ollama function calling
2024-10-11 07:25:53 +11:00
Rafael dos Santos Silva a08d168740
FEATURE: Initial support for seeded LLMs () 2024-08-28 15:57:58 -03:00
Roman Rizzi 64641b6175
FEATURE: LLM Triage support for systemless models. ()
* FEATURE: LLM Triage support for systemless models.

This change adds support for OSS models without support for system messages. LlmTriage's system message field is no longer mandatory. We now send the post contents in a separate user message.

* Models using Ollama can also disable system prompts
2024-08-21 11:41:55 -03:00
Roman Rizzi 20efc9285e
FIX: Correctly save provider-specific params for new models. ()
Creating a new model, either manually or from presets, doesn't initialize the `provider_params` object, meaning their custom params won't persist.

Additionally, this change adds some validations for Bedrock params, which are mandatory, and a clear message when a completion fails because we cannot build the URL.
2024-08-07 16:08:56 -03:00
Roman Rizzi 7b4c099673
FIX: LlmModel validations. ()
- Validate fields to reduce the chance of breaking features by a misconfigured model.
- Fixed a bug where the URL might get deleted during an update.
- Display a warning when a model is currently in use.
2024-08-06 14:35:35 -03:00
Roman Rizzi bed044448c
DEV: Remove old code now that features rely on LlmModels. ()
* DEV: Remove old code now that features rely on LlmModels.

* Hide old settings and migrate persona llm overrides

* Remove shadowing special URL + seeding code. Use srv:// prefix instead.
2024-07-30 13:44:57 -03:00
Roman Rizzi 5c196bca89
FEATURE: Track if a model can do vision in the llm_models table ()
* FEATURE: Track if a model can do vision in the llm_models table

* Data migration
2024-07-24 16:29:47 -03:00
Roman Rizzi 5cb91217bd
FIX: Flaky SRV-backed model seeding. ()
* Seeding the SRV-backed model should happen inside an initializer.
* Keep the model up to date when the hidden setting changes.
* Use the correct Mixtral model name and fix previous data migration.
* URL validation should trigger only when we attempt to update it.
2024-07-08 18:47:10 -03:00
Sam b863ddc94b
FEATURE: custom user defined tools ()
Introduces custom AI tools functionality. 

1. Why it was added:
   The PR adds the ability to create, manage, and use custom AI tools within the Discourse AI system. This feature allows for more flexibility and extensibility in the AI capabilities of the platform.

2. What it does:
   - Introduces a new `AiTool` model for storing custom AI tools
   - Adds CRUD (Create, Read, Update, Delete) operations for AI tools
   - Implements a tool runner system for executing custom tool scripts
   - Integrates custom tools with existing AI personas
   - Provides a user interface for managing custom tools in the admin panel

3. Possible use cases:
   - Creating custom tools for specific tasks or integrations (stock quotes, currency conversion etc...)
   - Allowing administrators to add new functionalities to AI assistants without modifying core code
   - Implementing domain-specific tools for particular communities or industries

4. Code structure:
   The PR introduces several new files and modifies existing ones:

   a. Models:
      - `app/models/ai_tool.rb`: Defines the AiTool model
      - `app/serializers/ai_custom_tool_serializer.rb`: Serializer for AI tools

   b. Controllers:
      - `app/controllers/discourse_ai/admin/ai_tools_controller.rb`: Handles CRUD operations for AI tools

   c. Views and Components:
      - New Ember.js components for tool management in the admin interface
      - Updates to existing AI persona management components to support custom tools 

   d. Core functionality:
      - `lib/ai_bot/tool_runner.rb`: Implements the custom tool execution system
      - `lib/ai_bot/tools/custom.rb`: Defines the custom tool class

   e. Routes and configurations:
      - Updates to route configurations to include new AI tool management pages

   f. Migrations:
      - `db/migrate/20240618080148_create_ai_tools.rb`: Creates the ai_tools table

   g. Tests:
      - New test files for AI tool functionality and integration

The PR integrates the custom tools system with the existing AI persona framework, allowing personas to use both built-in and custom tools. It also includes safety measures such as timeouts and HTTP request limits to prevent misuse of custom tools.

Overall, this PR significantly enhances the flexibility and extensibility of the Discourse AI system by allowing administrators to create and manage custom AI tools tailored to their specific needs.

Co-authored-by: Martin Brennan <martin@discourse.org>
2024-06-27 17:27:40 +10:00
Roman Rizzi e39e0bdb4a
FIX: Move the bot user toggling to the controller. ()
Having this as a callback prevents deploys of sites with a vLLM SRV configured and pending migrations. Additionally, this fixes a bug where we didn't delete/deactivate the companion user after deleting an LLM.
2024-06-25 12:45:19 -03:00
Roman Rizzi f622e2644f
FEATURE: Store provider-specific parameters. ()
Previously, we stored request parameters like the OpenAI organization and Bedrock's access key and region as site settings. This change stores them in the `llm_models` table instead, letting us drop more settings while also becoming more flexible.
2024-06-25 08:26:30 +10:00
Sam 1d5fa0ce6c
FIX: when creating an llm we were not creating user ()
This meant that if you toggle ai user early it surprisingly did
not work.

Also remove safety settings from gemini, it is overly cautious
2024-06-24 09:59:42 +10:00
Sam e04a7be122
FEATURE: LLM presets for model creation ()
* FEATURE: LLM presets for model creation

Previous to this users needed to look up complicated settings
when setting up models.

This introduces and extensible preset system with Google/OpenAI/Anthropic
presets.

This will cover all the most common LLMs, we can always add more as
we go.

Additionally:

- Proper support for Anthropic Claude Sonnet 3.5
- Stop blurring api keys when navigating away - this made it very complex to reuse keys
2024-06-21 17:32:15 +10:00
Sam 0d6d9a6ef5
FEATURE: allow access to private topics if tool permits ()
Previously read tool only had access to public topics, this allows
access to all topics user has access to, if admin opts for the option
Also

- Fixes VLLM migration
- Display which llms have bot enabled
2024-06-19 15:49:36 +10:00
Roman Rizzi 8d5f901a67
DEV: Rewire AI bot internals to use LlmModel ()
* DRAFT: Create AI Bot users dynamically and support custom LlmModels

* Get user associated to llm_model

* Track enabled bots with attribute

* Don't store bot username. Minor touches to migrate default values in settings

* Handle scenario where vLLM uses a SRV record

* Made 3.5-turbo-16k the default version so we can remove hack
2024-06-18 14:32:14 -03:00
Roman Rizzi 3a9080dd14
FEATURE: Test LLM configuration () 2024-05-21 13:35:50 -03:00
Roman Rizzi 62fc7d6ed0
FEATURE: Configurable LLMs. ()
This PR introduces the concept of "LlmModel" as a new way to quickly add new LLM models without making any code changes. We are releasing this first version and will add incremental improvements, so expect changes.

The AI Bot can't fully take advantage of this feature as users are hard-coded. We'll fix this in a separate PR.s
2024-05-13 12:46:42 -03:00