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Author SHA1 Message Date
Keegan George 5cb4127b95 DEV: Update megapixel requirement for small image 2024-08-14 11:16:46 -07:00
Keegan George 3db9c32ec3 FIX: Spec and add additional spec 2024-08-14 10:08:17 -07:00
Keegan George 0ebcf52761 FIX: Prevent AI caption setting from showing unless all criteria is met 2024-08-14 09:36:09 -07:00
Discourse Translator Bot 72980a3d84 Update translations (#751) 2024-08-13 16:33:25 +02:00
Sam 14443bf890 FIX: more robust summary implementation (#750)
When navigating between topic we were not correctly resetting
internal state for summarization. This leads to a situation where
incorrect summaries can be displayed to users and wrong summaries
can be displayed.

Additionally our controller for grabbing summaries was always
streaming results via message bus, which could be delayed when
sidekiq is overloaded. We now will return the cached summary
right away if it is available direct from REST endpoint.
2024-08-13 08:47:47 -03:00
Keegan George f72ab12761 DEV: Clearly separate post/composer helper settings (#747) 2024-08-12 15:40:23 -07:00
Keegan George a1eb1ba180 FIX: AI helper not being shown on mobile view (#749) 2024-08-12 15:32:49 -07:00
Sam cf1e15ef12 FIX: gemini 0801 tool calls (#748)
Gemini experimental model requires tool_config.

Previously defaults would apply.

This corrects prompts containing multiple tools on gemini.
2024-08-12 16:10:16 +10:00
Discourse Translator Bot a7c0ddba97 Update translations (#741) 2024-08-08 18:12:35 -03:00
Keegan George 0be292f247 FIX: auto_image_caption not always present for current user. (#746) 2024-08-08 13:37:26 -07:00
Keegan George 1d6a6c9f8f FEATURE: Stream other post helper options (#745) 2024-08-08 11:32:39 -07:00
Rafael dos Santos Silva 1686a8a683 DEV: Move to single table per embeddings type (#561)
Also move us to halfvecs for speed and disk usage gains
2024-08-08 11:55:20 -03:00
Roman Rizzi 20efc9285e FIX: Correctly save provider-specific params for new models. (#744)
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
Rafael dos Santos Silva 3b5245dc54 FIX: Handle nil reply_to_post in AI Bot event handler (#743)
Somehow it's possible to have a nil `post.reply_to_post` with
a non-nil `post.reply_to_post_number`.
2024-08-07 14:22:32 -03:00
Keegan George 1254d7c7d0 REFACTOR: AI Composer Helper Menu (#715) 2024-08-06 10:57:39 -07:00
Roman Rizzi 7b4c099673 FIX: LlmModel validations. (#742)
- 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
chapoiandRafael Silva d17bbc2dc4 UX: summary fixed positioning (#740)
Co-authored-by: Rafael Silva <[email protected]>
2024-08-05 12:39:08 -03:00
dependabot[bot] 5c9f610fa4 Build(deps-dev): Bump rexml from 3.3.1 to 3.3.3 (#738)
Bumps [rexml](https://github.com/ruby/rexml) from 3.3.1 to 3.3.3.
- [Release notes](https://github.com/ruby/rexml/releases)
- [Changelog](https://github.com/ruby/rexml/blob/master/NEWS.md)
- [Commits](https://github.com/ruby/rexml/compare/v3.3.1...v3.3.3)

---
updated-dependencies:
- dependency-name: rexml
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-08-05 13:10:20 +02:00
Keegan George 2ff3fe3a9f UX: Use stacked line chart for post sentiment (#737) 2024-08-02 14:23:29 -07:00
Roman Rizzi acc3f817e1 UX: Clarify purpose of OpenAI API key setting (#739) 2024-08-02 15:57:40 -03:00
Sam 948cf893a9 FIX: Add tool support to open ai compatible dialect and vllm (#734)
* FIX: Add tool support to open ai compatible dialect and vllm

Automatic tools are in progress in vllm see: https://github.com/vllm-project/vllm/pull/5649

Even when they are supported, initial support will be uneven, only some models have native tool support
notably mistral which has some special tokens for tool support.

After the above PR lands in vllm we will still need to swap to
XML based tools on models without native tool support.

* fix specs
2024-08-02 09:52:33 -03:00
Natalie Tay b7ac229547 DEV: Pin plugin for Discourse < 3.4.0.beta1-dev (#735) 2024-08-02 17:03:27 +08:00
Rafael dos Santos Silva 7dc0a2a20a DEV: Log error responses on Gemini / Cloudflare embeddings requests (#736) 2024-08-01 17:25:24 -03:00
Rafael dos Santos Silva 9d887ad4ac FIX: Use correct date for cached summary (#733) 2024-07-31 15:21:26 -03:00
Rafael dos Santos Silva d4c90bc2ba FEATURE: Make emotion analysis enabled by default (#732) 2024-07-31 12:00:00 -03:00
Sam c16c622b53 FIX: properly pass errors to client (#731)
render_json_error expects a AR model not a serializer, using a
serializer eats up the error message
2024-07-31 17:53:18 +10:00
Roman Rizzi bed044448c DEV: Remove old code now that features rely on LlmModels. (#729)
* 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
Discourse Translator Bot 73a2b15e91 Update translations (#730) 2024-07-30 11:08:03 -03:00
Natalie Tay 7cd7f71857 DEV: Promote historical post-deploy migrations (#728) 2024-07-30 01:44:57 +08:00
Rafael dos Santos Silva 665637fbad FIX: Properly fix ai_summaries table sequence (#727)
* FIX: Properly fix ai_summaries table sequence

Previous attempt at 3815360 could fail due to a race introduced in 1b0ba91 where summaries are migrated to core in a post_migrate erroneously.
2024-07-26 14:45:01 -03:00
Jan Cernik d58913b227 FIX: Collapse Summarize button on mobile (#726) 2024-07-25 16:10:53 -03:00
Jan Cernik d9dad56c6a UX: Use DMenu for topic summarization (#724) 2024-07-25 10:47:18 -03:00
Roman Rizzi 5c196bca89 FEATURE: Track if a model can do vision in the llm_models table (#725)
* FEATURE: Track if a model can do vision in the llm_models table

* Data migration
2024-07-24 16:29:47 -03:00
Discourse Translator Bot 06e239321b Update translations (#723) 2024-07-23 15:23:51 +02:00
Jan Cernik 738cd99ad6 FIX: Add bottom spacing for the new topic map (#722) 2024-07-22 22:21:23 -03:00
Rafael dos Santos Silva 3502f0f1cd FEATURE: GPT4o Tokenizer (#721) 2024-07-22 15:26:14 -03:00
Roman Rizzi 7f2c3a1ab9 DEV: Pin plugin for v3.2 to guarantee Ruby 3.3 compat (#719) 2024-07-17 13:16:14 -03:00
Joffrey JAFFEUX e4145ad6a6 FIX: ace-editor is now in discourse bundle, not admin (#717) 2024-07-17 11:58:50 +02:00
Discourse Translator Bot 4d8090002f Update translations (#716) 2024-07-16 22:14:09 +02:00
Roman Rizzi f328b81c78 FIX: Make sure custom tool enums follow json-schema. (#718)
Enums didn't work as expected because we the dialect couldn't translate
them correctly. It doesn't understand what "enum_values" is.
2024-07-16 14:23:17 -03:00
Roman Rizzi 0a8195242b FIX: Limit system message size to 60% of available tokens. (#714)
Using RAG fragments can lead to considerably big system messages, which becomes problematic when models have a smaller context window.

Before this change, we only look at the rest of the conversation to make sure we don't surpass the limit, which could lead to two unwanted scenarios when having large system messages:

All other messages are excluded due to size.
The system message already exceeds the limit.

As a result, I'm putting a hard-limit of 60% of available tokens. We don't want to aggresively truncate because if rag fragments are included, the system message contains a lot of context to improve the model response, but we also want to make room for the recent messages in the conversation.
2024-07-12 15:09:01 -03:00
Martin Brennan 5c1ab85583 DEV: More topic title prompt tweaks (#712)
Followup 8d4a67fbe2

The prompt worked better, but it took the instructions
about never using lowercase a little too literally,
it wasn't using it for things like LLM or Discourse,
also it was almost always framing the title as questions
so now I asked it for a mix of questions and statements
because that's less ambiguous.
2024-07-11 10:14:53 +10:00
Keegan George 08355ea5d8 FEATURE: Show post helper as bottom modal on mobile (#704) 2024-07-10 11:01:05 -07:00
Martin Brennan 8d4a67fbe2 DEV: Tweak topic title generator prompt (#710)
Changes the title generator prompt to avoid clickbait-y
titles and also try to avoid AI's favourite title format,
which is "Some Thing: Other Thing"

Leaving the chat thread title generator for now, that's
not as important, the bizarre titles add to the experience there.
2024-07-10 14:31:59 +10:00
Martin Brennan da6d70da8f FEATURE: Add breadcrumbs to LLMs and Persona admin pages (#666)
Followup to https://github.com/discourse/discourse-ai/pull/656,
adding these back in with the new core component.
2024-07-10 10:56:13 +10:00
Discourse Translator Bot 84b1c9af71 Update translations (#709) 2024-07-09 23:12:11 +02:00
Roman Rizzi 5cb91217bd FIX: Flaky SRV-backed model seeding. (#708)
* 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
PangBo 4ebbdc043e fix: locale handling in assistant.rb (#705) 2024-07-05 11:16:09 +02:00
Régis Hanol d555f18c6f FIX: don't reset open state on details tag when morphing (#702) 2024-07-05 08:07:28 +10:00
Roman Rizzi 442681a3d3 FIX: Mixtral models have system role support. (#703)
Using assistant role for system produces an error because
they expect alternating roles like user/assistant/user and so on.
Prompts cannot start with the assistant role.
2024-07-04 13:23:03 -03:00
Keegan George eab2f74b58 DEV: Use site locale for composer helper translations (#698) 2024-07-04 08:23:37 -07:00
Sam 38153608f8 FIX: repair id sequence identity on summary table (#701)
1. Repairs the identity on the summary table, we migrated data without resetting it.
2. Adds an index into ai_summary table to match expected retrieval pattern
2024-07-04 12:23:46 +10:00
SamandRoman Rizzi 1320eed9b2 FEATURE: move summary to use llm_model (#699)
This allows summary to use the new LLM models and migrates of API key based model selection

Claude 3.5 etc... all work now. 

---------

Co-authored-by: Roman Rizzi <[email protected]>
2024-07-04 10:48:18 +10:00
Roman Rizzi fc081d9da6 FIX: Restore ability to fold summaries, which was accidentally removed (#700) 2024-07-03 18:10:31 -03:00
Keegan George ef4b3559cd FIX: Disabled chat breaks ai-chat-summarization (#697) 2024-07-02 11:10:31 -07:00
Keegan George 1b0ba9197c DEV: Add summarization logic from core (#658) 2024-07-02 08:51:59 -07:00
Discourse Translator Bot c352cc5ba3 Update translations (#695) 2024-07-02 16:42:52 +02:00
Sam b671ffe7fa FIX: info not working, not suppressing hidden tags from report (#696)
2 small fixes

1. The info button was not properly working post refactor
2. Suppress any secured tags from report input
2024-07-02 16:38:33 +10:00
Jarek Radosz a5a39dd2ee DEV: Clean up after #677 (#694)
Follow up to b863ddc94b

Ruby:
* Validate `summary` (the column is `not null`)
* Fix `name` validation (the column has `max_length` 100)
* Fix table annotations
* Accept missing `parameter` attributes (`required, `enum`, `enum_values`)

JS:
* Use native classes
* Don't use ember's array extensions
* Add explicit service injections
* Correct class names
* Use `||=` operator
* Use `store` service to create records
* Remove unused service injections
* Extract consts
* Group actions together
* Use `async`/`await`
* Use `withEventValue`
* Sort html attributes
* Use DButtons `@label` arg
* Use `input` elements instead of Ember's `Input` component (same w/ textarea)
* Remove `btn-default` class (automatically applied by DButton)
* Don't mix `I18n.t` and `i18n` in the same template
* Don't track props that aren't used in a template
* Correct invalid `target.value` code
* Remove unused/invalid `this.parameter`/`onChange` code
* Whitespace
* Use the new service import `inject as service` -> `service`
* Use `Object.entries()`
* Add missing i18n strings
* Fix an error in `addEnumValue` (calling `pushObject` on `undefined`)
* Use `TrackedArray`/`TrackedObject`
* Transform tool `parameters` keys (`enumValues` -> `enum_values`)
2024-06-28 08:59:51 +10:00
Rafael dos Santos Silva a708d4dfa2 FIX: Use base64 encoded images in AI Image Caption via LLaVa (#693)
* FIX: Use base64 encoded images in AI Image Caption via LLaVa

This fixed a regression introduced in #646 where we started sending
schemaless URLs for our LLaVa service, which doesn't handle it well.

Moving to base64 encoded images solves:

- The service needing to download images
  Now the service running LLaVa doesn't need internet access

- Secure uploads compat
  Every image is treated the same, less branching for secure uploads

- Image Size problems
  Discourse is now responsible for ensure a max size for images

- Troublesome dev env
  Previously to this commit you would need a dev env that was internet
acessible to use llava image captions
2024-06-27 16:24:44 -03:00
Jan Cernik 8e83c091a2 DEV: Use explicit serializers for all models (#691) 2024-06-27 10:43:00 -03:00
SamandMartin Brennan b863ddc94b FEATURE: custom user defined tools (#677)
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 <[email protected]>
2024-06-27 17:27:40 +10:00
Sam af4f871096 FIX: never provide tools with invalid UTF-8 strings (#692)
Previous to this change, on truncation we could return invalid
UTF-8 strings to caller

This also allows tools to read up to 30 megs vs the old 4 megs.
2024-06-27 14:06:52 +10:00
Loïc Guitaut e26c5986f2 DEV: Use Rails 7.0 instead of 7.1 in post-migrations 2024-06-26 18:41:38 +02:00
Loïc Guitaut 6f5873b072 DEV: Use Rails 7.0 instead of 7.1 in migrations 2024-06-26 18:32:11 +02:00
Roman Rizzi e39e0bdb4a FIX: Move the bot user toggling to the controller. (#688)
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
Discourse Translator Bot b6f0ad157c Update translations (#687) 2024-06-25 15:40:17 +02:00
Roman Rizzi f622e2644f FEATURE: Store provider-specific parameters. (#686)
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 (#685)
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
dependabot[bot] 346dd734d1 Build(deps): Bump braces from 3.0.2 to 3.0.3 (#683)
Bumps [braces](https://github.com/micromatch/braces) from 3.0.2 to 3.0.3.
- [Changelog](https://github.com/micromatch/braces/blob/master/CHANGELOG.md)
- [Commits](https://github.com/micromatch/braces/compare/3.0.2...3.0.3)

---
updated-dependencies:
- dependency-name: braces
  dependency-type: indirect
...

Signed-off-by: dependabot[bot] <[email protected]>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2024-06-22 16:50:25 +02:00
Roman Rizzi 091dc626e8 FIX: Make sure LlmEnumerator always return value hashes using symbols (#684) 2024-06-21 16:35:31 -03:00
Sam 3a2339902e FEATURE: allow select claude-3-5 for native tools (#682) 2024-06-21 18:17:36 +10:00
Sam e04a7be122 FEATURE: LLM presets for model creation (#681)
* 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
Roman Rizzi 558574fa87 DEV: Use LlmModels as options in automation rules (#676) 2024-06-21 08:07:17 +10:00
Rafael dos Santos Silva 714caf34fe FEATURE: Support for Claude 3.5 Sonnet via AWS Bedrock (#680) 2024-06-20 17:51:46 -03:00
Rafael dos Santos Silva b23a3a86a6 FIX: SRV warning should not trigger on brand new LLM (#679) 2024-06-20 15:37:14 -03:00
Kris 1a8532b91b UX: improve composer suggestion button layout (#678) 2024-06-20 13:32:14 -04:00
Kris 59ed6d7b3e UX: show image caption button on image hover (#670) 2024-06-20 08:58:19 +10:00
Roman Rizzi 8849caf136 DEV: Transition "Select model" settings to only use LlmModels (#675)
We no longer support the "provider:model" format in the "ai_helper_model" and
"ai_embeddings_semantic_search_hyde_model" settings. We'll migrate existing
values and work with our new data-driven LLM configs from now on.
2024-06-19 18:01:35 -03:00
Roman Rizzi ed3d5521a8 UX: QoL impromevements to the admin LLM models page. (#674)
API Key value is secret by default, and we include a link to the AI bot user.
2024-06-19 11:21:21 -03:00
Roman Rizzi c4d9fab8e7 FIX: typo when excluding personas from enabled bot list (#671) 2024-06-19 10:16:00 -03:00
Sam 0d6d9a6ef5 FEATURE: allow access to private topics if tool permits (#673)
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
Krzysztof Kotlarek 3c45335936 DEV: disable flaky playground_spec (#672) 2024-06-19 10:56:15 +10:00
Roman Rizzi 8d5f901a67 DEV: Rewire AI bot internals to use LlmModel (#638)
* 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
Discourse Translator Bot cc0b222faa Update translations (#669) 2024-06-18 15:39:41 +02:00
Sam 460f5c4553 FIX: display search correctly, bug when stripping XML (#668)
- Display filtered search correctly, so it is not confusing
- When XML stripping, if a chunk was `<` it would crash
- SQL Helper improved to be better aware of Data Explorer
2024-06-14 15:28:40 +10:00
Sam f642a27f11 FIX: Dall E / Artist broken when tool_details is disabled (#667)
We were missing logic to handle custom_html from tools

This also fixes image generation in chat
2024-06-12 17:58:28 +10:00
Kris 8a0c2020f2 UX: improve appearance of attributed quote when sharing (#665) 2024-06-11 12:06:57 -04:00
Discourse Translator Bot effa6cc59f Update translations (#664) 2024-06-11 17:20:49 +02:00
Sam 5abf80cb4e FIX: do not mark column read only so certain deployments work (#663)
In some case we may be deploying migrations, seeding and then
running post migrations, we need this to work so we give up
on this small window of protection
2024-06-11 21:32:49 +10:00
SamandMartin Brennan 52a7dd2a4b FEATURE: optional tool detail blocks (#662)
This is a rather huge refactor with 1 new feature (tool details can
be suppressed)

Previously we use the name "Command" to describe "Tools", this unifies
all the internal language and simplifies the code.

We also amended the persona UI to use less DToggles which aligns
with our design guidelines.

Co-authored-by: Martin Brennan <[email protected]>
2024-06-11 18:14:14 +10:00
Sam 875bb04467 FIX: summarize is not working remove for now (#661)
Summarize is not working right, remove it for now.

Also it was specified twice breaking tool calls.
2024-06-08 12:25:30 +10:00
Roman Rizzi 212ee23698 FIX: Use new report color keys defined in discourse/discourse#27240 (#660) 2024-06-07 15:08:06 -03:00
Sam 8b81ff45b8 FIX: switch off native tools on Anthropic Claude Opus (#659)
Native tools do not work well on Opus.

Chain of Thought prompting means it consumes enormous amounts of
tokens and has poor latency.

This commit introduce and XML stripper to remove various chain of
thought XML islands from anthropic prompts when tools are involved.

This mean Opus native tools is now functions (albeit slowly)

From local testing XML just works better now.

Also fixes enum support in Anthropic native tools
2024-06-07 10:52:01 -03:00
Martin Brennan 7a64699314 DEV: Remove breadcrumbs for now (#656)
This core PR will change the component API a bit,
so it's easier to remove these for now and add them
back after:

https://github.com/discourse/discourse/pull/27365
2024-06-07 10:37:53 +10:00
Rafael dos Santos Silva 92108452f2 FIX: AI Bot Shared Conversation didn't respect CDN / Subfolder (#657) 2024-06-06 15:13:51 -03:00
Sam 3993c685e1 FEATURE: anthropic function calling (#654)
Adds support for native tool calling (both streaming and non streaming) for Anthropic.

This improves general tool support on the Anthropic models.
2024-06-06 08:34:23 +10:00
Sam 564d2de534 FEATURE: Add native Cohere tool support (#655)
Add native Cohere tool support

- Introduce CohereTools class for tool translation and result processing
- Update Command dialect to integrate with CohereTools
- Modify Cohere endpoint to support passing tools and processing tool calls
- Add spec for testing tool triggering with Cohere endpoint
2024-06-04 08:59:15 +10:00
Discourse Translator Bot 97afda278b Update translations (#653) 2024-05-31 12:27:35 +02:00
Keegan George 02a50a29f8 DEV: Conditionally show AI results toggle based on sort order (#652) 2024-05-29 18:18:22 -07:00
Sam 834fea672f FEATURE: improved tooling (#651)
1. New tool to easily find files (and default branch) in a Github repo
2. Improved read tool with clearer params and larger context

* limit can totally mess up the richness semantic search adds, so include the results unconditionally.
2024-05-30 06:33:50 +10:00
Martin Brennan d812ecf5da FIX: Remove doubled up breadcrumb in persona UI (#650)
Followup to 06137ac706
2024-05-29 11:37:01 +10:00
Sam 13840f68b3 FEATURE: restrict public sharing on login required sites (#649)
Initial implementation allowed internet wide sharing of
AI conversations, on sites that require login.

This feature can be an anti feature for private sites cause they
can not share conversations internally.

For now we are removing support for public sharing on login required
sites, if the community need the feature we can consider adding a
setting.
2024-05-29 11:04:47 +10:00
Roman Rizzi bd1490a536 FIX: include_usage is not available in the Azure API. (#648)
Follow-up #618
2024-05-28 16:55:43 -03:00
Sam b487de933d FEATURE: add support for all vision models (#646)
Previoulsy on GPT-4-vision was supported, change introduces support
for Google/Anthropic and new OpenAI models

Additionally this makes vision work properly in dev environments
cause we sent the encoded payload via prompt vs sending urls
2024-05-28 10:31:15 -03:00
Loïc Guitaut dd4e305ff7 DEV: Update rubocop-discourse to version 3.8.0 (#641) 2024-05-28 11:15:42 +02:00
Sam 309280cbb6 FEATURE: add aspect ratio support to DallE 3 (#647)
DallE 3 supports tall/square and wide images.

This adds support to the 3 variants. (wide / tall / square)
2024-05-28 16:21:40 +10:00
Keegan George dae9d6f14e FIX: Move image caption group check logic to server side (#645)
* FIX: User groups error before initialization
* DEV: Move group check logic to server side
2024-05-28 10:29:11 +10:00
Keegan George 71affe75bf UX: Hide AI preferences page completely if no settings for user (#644) 2024-05-27 13:27:45 -07:00
Roman Rizzi 333b331eb9 FEATURE: Allow deleting custom LLMs. (#643)
This change allows us to delete custom models. It checks if there is no module using them.

It also fixes a bug where the after-create transition wasn't working. While this prevents a model from being saved multiple times, endpoint validations are still needed (will be added in a separate PR).:
2024-05-27 16:44:08 -03:00
Keegan George 90c5e4bb0e FIX: Reply broken when auto caption is enabled (#642) 2024-05-27 12:17:35 -07:00
405 changed files with 16825 additions and 5735 deletions
+4 -6
View File
@@ -1,8 +1,6 @@
< 3.4.0.beta1-dev: 9d887ad4ace8e33c3fe7dbb39237e882c08b4f0b
< 3.3.0.beta5-dev: 4d8090002f6dcd8e34d41033606bf131fa221475
< 3.3.0.beta2-dev: 61890b667c06299841ae88946f84a112f00060e1
< 3.3.0.beta1-dev: a65c4076a63104b61d213534db7f89aa3c8acd9e
< 3.2.0.beta5-dev: c70f43f130fb98e4a1adb1afd9b621aaa49088e3
< 3.2.0.beta4-dev: 493b48477a9288f2f1b6f021954088705a6673d6
< 3.2.0.beta2-dev: 3bced1c6f525553fe2b5b79d29bd66c1cf2a47d5
< 3.3.0.beta1-dev: d94234d89f50733678a5c62809445198a9fda74b
3.2.999: d94234d89f50733678a5c62809445198a9fda74b
3.1.999: c0415bb7eb878b1b7abf112d65cba981030df8df
< 3.2.0.beta1-dev: 3e7c99de894b03e9161d9481da118fe893991a1d
3.1.0.beta3: 057fbe1ce6
+35 -26
View File
@@ -1,7 +1,7 @@
GEM
remote: https://rubygems.org/
specs:
activesupport (7.1.3.2)
activesupport (7.1.3.4)
base64
bigdecimal
concurrent-ruby (~> 1.0, >= 1.0.2)
@@ -13,27 +13,28 @@ GEM
tzinfo (~> 2.0)
ast (2.4.2)
base64 (0.2.0)
bigdecimal (3.1.6)
concurrent-ruby (1.2.3)
bigdecimal (3.1.8)
concurrent-ruby (1.3.3)
connection_pool (2.4.1)
drb (2.2.1)
i18n (1.14.1)
i18n (1.14.5)
concurrent-ruby (~> 1.0)
json (2.7.1)
json (2.7.2)
language_server-protocol (3.17.0.3)
minitest (5.22.2)
minitest (5.24.1)
mutex_m (0.2.0)
parallel (1.24.0)
parser (3.3.0.5)
parallel (1.25.1)
parser (3.3.3.0)
ast (~> 2.4.1)
racc
prettier_print (1.2.1)
racc (1.7.3)
racc (1.8.0)
rack (3.1.6)
rainbow (3.1.1)
regexp_parser (2.9.0)
rexml (3.2.8)
strscan (>= 3.0.9)
rubocop (1.61.0)
regexp_parser (2.9.2)
rexml (3.3.3)
strscan
rubocop (1.64.1)
json (~> 2.3)
language_server-protocol (>= 3.17.0)
parallel (~> 1.10)
@@ -41,25 +42,33 @@ GEM
rainbow (>= 2.2.2, < 4.0)
regexp_parser (>= 1.8, < 3.0)
rexml (>= 3.2.5, < 4.0)
rubocop-ast (>= 1.30.0, < 2.0)
rubocop-ast (>= 1.31.1, < 2.0)
ruby-progressbar (~> 1.7)
unicode-display_width (>= 2.4.0, < 3.0)
rubocop-ast (1.31.1)
parser (>= 3.3.0.4)
rubocop-capybara (2.20.0)
rubocop-ast (1.31.3)
parser (>= 3.3.1.0)
rubocop-capybara (2.21.0)
rubocop (~> 1.41)
rubocop-discourse (3.7.1)
rubocop-discourse (3.8.1)
activesupport (>= 6.1)
rubocop (>= 1.59.0)
rubocop-capybara (>= 2.0.0)
rubocop-factory_bot (>= 2.0.0)
rubocop-rspec (>= 2.25.0)
rubocop-factory_bot (2.25.1)
rubocop (~> 1.41)
rubocop-rspec (2.27.1)
rubocop (~> 1.40)
rubocop-capybara (~> 2.17)
rubocop-factory_bot (~> 2.22)
rubocop-rails (>= 2.25.0)
rubocop-rspec (>= 3.0.1)
rubocop-rspec_rails (>= 2.30.0)
rubocop-factory_bot (2.26.1)
rubocop (~> 1.61)
rubocop-rails (2.25.1)
activesupport (>= 4.2.0)
rack (>= 1.1)
rubocop (>= 1.33.0, < 2.0)
rubocop-ast (>= 1.31.1, < 2.0)
rubocop-rspec (3.0.2)
rubocop (~> 1.61)
rubocop-rspec_rails (2.30.0)
rubocop (~> 1.61)
rubocop-rspec (~> 3, >= 3.0.1)
ruby-progressbar (1.13.0)
strscan (3.1.0)
syntax_tree (6.2.0)
@@ -76,4 +85,4 @@ DEPENDENCIES
syntax_tree
BUNDLED WITH
2.5.4
2.5.10
@@ -3,6 +3,7 @@ import DiscourseRoute from "discourse/routes/discourse";
export default DiscourseRoute.extend({
async model() {
const record = this.store.createRecord("ai-llm");
record.provider_params = {};
return record;
},
@@ -0,0 +1,15 @@
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiToolsNewRoute extends DiscourseRoute {
async model() {
return this.store.createRecord("ai-tool");
}
setupController(controller) {
super.setupController(...arguments);
const toolsModel = this.modelFor("adminPlugins.show.discourse-ai-tools");
controller.set("allTools", toolsModel);
controller.set("presets", toolsModel.resultSetMeta.presets);
}
}
@@ -0,0 +1,18 @@
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiToolsShowRoute extends DiscourseRoute {
async model(params) {
const allTools = this.modelFor("adminPlugins.show.discourse-ai-tools");
const id = parseInt(params.id, 10);
return allTools.find((tool) => tool.id === id);
}
setupController(controller) {
super.setupController(...arguments);
const toolsModel = this.modelFor("adminPlugins.show.discourse-ai-tools");
controller.set("allTools", toolsModel);
controller.set("presets", toolsModel.resultSetMeta.presets);
}
}
@@ -0,0 +1,10 @@
import { service } from "@ember/service";
import DiscourseRoute from "discourse/routes/discourse";
export default class DiscourseAiToolsRoute extends DiscourseRoute {
@service store;
model() {
return this.store.findAll("ai-tool");
}
}
@@ -1,9 +1,3 @@
<DBreadcrumbsItem as |linkClass|>
<LinkTo @route="adminPlugins.show.discourse-ai-personas" class={{linkClass}}>
{{@model.plugin.nameTitleized}}
</LinkTo>
</DBreadcrumbsItem>
<AiPersonaListEditor
@personas={{this.allPersonas}}
@currentPersona={{this.model}}
@@ -0,0 +1 @@
<AiToolListEditor @tools={{this.model}} />
@@ -0,0 +1,5 @@
<AiToolEditor
@tools={{this.allTools}}
@model={{this.model}}
@presets={{this.presets}}
/>
@@ -0,0 +1,5 @@
<AiToolEditor
@tools={{this.allTools}}
@model={{this.model}}
@presets={{this.presets}}
/>
@@ -6,7 +6,7 @@ module DiscourseAi
requires_plugin ::DiscourseAi::PLUGIN_NAME
def index
llms = LlmModel.all
llms = LlmModel.all.order(:display_name)
render json: {
ai_llms:
@@ -16,6 +16,8 @@ module DiscourseAi
root: false,
).as_json,
meta: {
provider_params: LlmModel.provider_params,
presets: DiscourseAi::Completions::Llm.presets,
providers: DiscourseAi::Completions::Llm.provider_names,
tokenizers:
DiscourseAi::Completions::Llm.tokenizer_names.map { |tn|
@@ -33,7 +35,8 @@ module DiscourseAi
def create
llm_model = LlmModel.new(ai_llm_params)
if llm_model.save
render json: { ai_persona: llm_model }, status: :created
llm_model.toggle_companion_user
render json: { ai_persona: LlmModelSerializer.new(llm_model) }, status: :created
else
render_json_error llm_model
end
@@ -42,8 +45,38 @@ module DiscourseAi
def update
llm_model = LlmModel.find(params[:id])
if llm_model.update(ai_llm_params)
render json: llm_model
if llm_model.update(ai_llm_params(updating: llm_model))
llm_model.toggle_companion_user
render json: LlmModelSerializer.new(llm_model)
else
render_json_error llm_model
end
end
def destroy
llm_model = LlmModel.find(params[:id])
in_use_by = DiscourseAi::Configuration::LlmValidator.new.modules_using(llm_model)
if !in_use_by.empty?
return(
render_json_error(
I18n.t(
"discourse_ai.llm.delete_failed",
settings: in_use_by.join(", "),
count: in_use_by.length,
),
status: 409,
)
)
end
# Clean up companion users
llm_model.enabled_chat_bot = false
llm_model.toggle_companion_user
if llm_model.destroy
head :no_content
else
render_json_error llm_model
end
@@ -54,11 +87,7 @@ module DiscourseAi
llm_model = LlmModel.new(ai_llm_params)
DiscourseAi::Completions::Llm.proxy_from_obj(llm_model).generate(
"How much is 1 + 1?",
user: current_user,
feature_name: "llm_validator",
)
DiscourseAi::Configuration::LlmValidator.new.run_test(llm_model)
render json: { success: true }
rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
@@ -67,16 +96,34 @@ module DiscourseAi
private
def ai_llm_params
params.require(:ai_llm).permit(
:display_name,
:name,
:provider,
:tokenizer,
:max_prompt_tokens,
:url,
:api_key,
)
def ai_llm_params(updating: nil)
return {} if params[:ai_llm].blank?
permitted =
params.require(:ai_llm).permit(
:display_name,
:name,
:provider,
:tokenizer,
:max_prompt_tokens,
:api_key,
:enabled_chat_bot,
:vision_enabled,
)
provider = updating ? updating.provider : permitted[:provider]
permit_url = provider != LlmModel::BEDROCK_PROVIDER_NAME
new_url = params.dig(:ai_llm, :url)
permitted[:url] = new_url if permit_url && new_url
extra_field_names = LlmModel.provider_params.dig(provider&.to_sym, :fields).to_a
received_prov_params = params.dig(:ai_llm, :provider_params)
permitted[:provider_params] = received_prov_params.slice(
*extra_field_names,
).permit! if !extra_field_names.empty? && received_prov_params.present?
permitted
end
end
end
@@ -19,11 +19,19 @@ module DiscourseAi
DiscourseAi::AiBot::Personas::Persona.all_available_tools.map do |tool|
AiToolSerializer.new(tool, root: false)
end
AiTool
.where(enabled: true)
.each do |tool|
tools << {
id: "custom-#{tool.id}",
name: I18n.t("discourse_ai.tools.custom_name", name: tool.name.capitalize),
}
end
llms =
DiscourseAi::Configuration::LlmEnumerator.values.map do |hash|
{ id: hash[:value], name: hash[:name] }
end
render json: { ai_personas: ai_personas, meta: { commands: tools, llms: llms } }
render json: { ai_personas: ai_personas, meta: { tools: tools, llms: llms } }
end
def show
@@ -35,7 +43,10 @@ module DiscourseAi
if ai_persona.save
RagDocumentFragment.link_persona_and_uploads(ai_persona, attached_upload_ids)
render json: { ai_persona: ai_persona }, status: :created
render json: {
ai_persona: LocalizedAiPersonaSerializer.new(ai_persona, root: false),
},
status: :created
else
render_json_error ai_persona
end
@@ -50,7 +61,7 @@ module DiscourseAi
if @ai_persona.update(ai_persona_params.except(:rag_uploads))
RagDocumentFragment.update_persona_uploads(@ai_persona, attached_upload_ids)
render json: @ai_persona
render json: LocalizedAiPersonaSerializer.new(@ai_persona, root: false)
else
render_json_error @ai_persona
end
@@ -126,28 +137,29 @@ module DiscourseAi
:rag_conversation_chunks,
:question_consolidator_llm,
:allow_chat,
:tool_details,
allowed_group_ids: [],
rag_uploads: [:id],
)
if commands = params.dig(:ai_persona, :commands)
permitted[:commands] = permit_commands(commands)
if tools = params.dig(:ai_persona, :tools)
permitted[:tools] = permit_tools(tools)
end
permitted
end
def permit_commands(commands)
return [] if !commands.is_a?(Array)
def permit_tools(tools)
return [] if !tools.is_a?(Array)
commands.filter_map do |command, options|
break nil if !command.is_a?(String)
tools.filter_map do |tool, options|
break nil if !tool.is_a?(String)
options&.permit! if options && options.is_a?(ActionController::Parameters)
if options
[command, options]
[tool, options]
else
command
tool
end
end
end
@@ -0,0 +1,89 @@
# frozen_string_literal: true
module DiscourseAi
module Admin
class AiToolsController < ::Admin::AdminController
requires_plugin ::DiscourseAi::PLUGIN_NAME
before_action :find_ai_tool, only: %i[show update destroy]
def index
ai_tools = AiTool.all
render_serialized({ ai_tools: ai_tools }, AiCustomToolListSerializer, root: false)
end
def show
render_serialized(@ai_tool, AiCustomToolSerializer)
end
def create
ai_tool = AiTool.new(ai_tool_params)
ai_tool.created_by_id = current_user.id
if ai_tool.save
render_serialized(ai_tool, AiCustomToolSerializer, status: :created)
else
render_json_error ai_tool
end
end
def update
if @ai_tool.update(ai_tool_params)
render_serialized(@ai_tool, AiCustomToolSerializer)
else
render_json_error @ai_tool
end
end
def destroy
if @ai_tool.destroy
head :no_content
else
render_json_error @ai_tool
end
end
def test
if params[:id].present?
ai_tool = AiTool.find(params[:id])
else
ai_tool = AiTool.new(ai_tool_params)
end
parameters = params[:parameters].to_unsafe_h
# we need an llm so we have a tokenizer
# but will do without if none is available
llm = LlmModel.first&.to_llm
runner = ai_tool.runner(parameters, llm: llm, bot_user: current_user, context: {})
result = runner.invoke
if result.is_a?(Hash) && result[:error]
render_json_error result[:error]
else
render json: { output: result }
end
rescue ActiveRecord::RecordNotFound => e
render_json_error e.message, status: 400
rescue => e
render_json_error "Error executing the tool: #{e.message}", status: 400
end
private
def find_ai_tool
@ai_tool = AiTool.find(params[:id])
end
def ai_tool_params
params.require(:ai_tool).permit(
:name,
:description,
:script,
:summary,
parameters: [:name, :type, :description, :required, enum: []],
)
end
end
end
end
@@ -18,7 +18,7 @@ module DiscourseAi
debug_info = AiApiAuditLog.where(post: posts).order(created_at: :desc).first
render json: debug_info, status: 200
render json: AiApiAuditLogSerializer.new(debug_info, root: false), status: 200
end
def stop_streaming_response
@@ -31,12 +31,10 @@ module DiscourseAi
end
def show_bot_username
bot_user_id = DiscourseAi::AiBot::EntryPoint.map_bot_model_to_user_id(params[:username])
raise Discourse::InvalidParameters.new(:username) if !bot_user_id
bot_user = DiscourseAi::AiBot::EntryPoint.find_user_from_model(params[:username])
raise Discourse::InvalidParameters.new(:username) if !bot_user
bot_username_lower = User.find(bot_user_id).username_lower
render json: { bot_username: bot_username_lower }, status: 200
render json: { bot_username: bot_user.username_lower }, status: 200
end
end
end
@@ -7,7 +7,7 @@ module DiscourseAi
requires_login only: %i[create update destroy]
before_action :require_site_settings!
skip_before_action :preload_json, :check_xhr, :redirect_to_login_if_required, only: %i[show]
skip_before_action :preload_json, :check_xhr, only: %i[show]
def create
ensure_allowed_create!
@@ -12,6 +12,7 @@ module DiscourseAi
def suggest
input = get_text_param!
force_default_locale = params[:force_default_locale] || false
prompt = CompletionPrompt.find_by(id: params[:mode])
@@ -31,6 +32,7 @@ module DiscourseAi
prompt,
input,
current_user,
force_default_locale,
),
status: 200
end
@@ -87,18 +89,26 @@ module DiscourseAi
end
end
def explain
def stream_suggestion
post_id = get_post_param!
term_to_explain = get_text_param!
text = get_text_param!
post = Post.includes(:topic).find_by(id: post_id)
prompt = CompletionPrompt.find_by(id: params[:mode])
raise Discourse::InvalidParameters.new(:mode) if !prompt || !prompt.enabled?
raise Discourse::InvalidParameters.new(:post_id) unless post
if prompt.id == CompletionPrompt::CUSTOM_PROMPT
raise Discourse::InvalidParameters.new(:custom_prompt) if params[:custom_prompt].blank?
end
Jobs.enqueue(
:stream_post_helper,
post_id: post.id,
user_id: current_user.id,
term_to_explain: term_to_explain,
text: text,
prompt: prompt.name,
custom_prompt: params[:custom_prompt],
)
render json: { success: true }, status: 200
@@ -107,21 +117,6 @@ module DiscourseAi
status: 502
end
def random_caption
captions = [
"A beautiful landscape",
"An adorable puppy",
"A delicious meal",
"A cozy fireplace",
"A stunning sunset",
"A charming cityscape",
"A peaceful garden",
"A majestic mountain range",
"A captivating work of art",
]
captions.sample
end
def caption_image
image_url = params[:image_url]
image_url_type = params[:image_url_type]
@@ -138,19 +133,12 @@ module DiscourseAi
end
raise Discourse::NotFound if image.blank?
final_image_url = get_caption_url(image, image_url)
check_secure_upload_permission(image) if image.secure?
user = current_user
hijack do
if Rails.env.development?
sleep 2 # Simulate a delay of 2 seconds
caption = random_caption
else
caption =
DiscourseAi::AiHelper::Assistant.new.generate_image_caption(
final_image_url,
current_user,
)
end
caption = DiscourseAi::AiHelper::Assistant.new.generate_image_caption(image, user)
render json: {
caption:
"#{caption} (#{I18n.t("discourse_ai.ai_helper.image_caption.attribution")})",
@@ -177,18 +165,13 @@ module DiscourseAi
end
def ensure_can_request_suggestions
if !current_user.in_any_groups?(SiteSetting.ai_helper_allowed_groups_map)
raise Discourse::InvalidAccess
end
end
allowed_groups =
(
SiteSetting.composer_ai_helper_allowed_groups_map |
SiteSetting.post_ai_helper_allowed_groups_map
)
def get_caption_url(image_upload, image_url)
if image_upload.secure?
check_secure_upload_permission(image_upload)
return Discourse.store.url_for(image_upload)
end
UrlHelper.absolute(image_url)
raise Discourse::InvalidAccess if !current_user.in_any_groups?(allowed_groups)
end
end
end
@@ -0,0 +1,48 @@
# frozen_string_literal: true
module DiscourseAi
module Summarization
class ChatSummaryController < ::Chat::ApiController
requires_plugin ::DiscourseAi::PLUGIN_NAME
requires_plugin ::Chat::PLUGIN_NAME
VALID_SINCE_VALUES = [1, 3, 6, 12, 24, 72, 168]
def show
since = params[:since].to_i
raise Discourse::InvalidParameters.new(:since) if !VALID_SINCE_VALUES.include?(since)
channel = ::Chat::Channel.find(params[:channel_id])
guardian.ensure_can_join_chat_channel!(channel)
strategy = DiscourseAi::Summarization.default_strategy
raise Discourse::NotFound.new unless strategy
guardian.ensure_can_request_summary!
RateLimiter.new(current_user, "channel_summary", 6, 5.minutes).performed!
hijack do
content = { content_title: channel.name }
content[:contents] = channel
.chat_messages
.where("chat_messages.created_at > ?", since.hours.ago)
.includes(:user)
.order(created_at: :asc)
.pluck(:id, :username_lower, :message)
.map { { id: _1, poster: _2, text: _3 } }
summarized_text =
if content[:contents].empty?
I18n.t("discourse_ai.summarization.chat.no_targets")
else
strategy.summarize(content, current_user).dig(:summary)
end
render json: { summary: summarized_text }
end
end
end
end
end
@@ -0,0 +1,49 @@
# frozen_string_literal: true
module DiscourseAi
module Summarization
class SummaryController < ::ApplicationController
requires_plugin ::DiscourseAi::PLUGIN_NAME
def show
topic = Topic.find(params[:topic_id])
guardian.ensure_can_see!(topic)
raise Discourse::NotFound if !guardian.can_see_summary?(topic)
RateLimiter.new(current_user, "summary", 6, 5.minutes).performed! if current_user
opts = params.permit(:skip_age_check)
skip_age_check = opts[:skip_age_check] == "true"
if params[:stream] && current_user
cached_summary = DiscourseAi::TopicSummarization.cached_summary(topic, current_user)
if cached_summary && !skip_age_check
render_serialized(cached_summary, AiTopicSummarySerializer)
return
end
Jobs.enqueue(
:stream_topic_ai_summary,
topic_id: topic.id,
user_id: current_user.id,
skip_age_check: skip_age_check,
)
render json: success_json
else
hijack do
summary =
DiscourseAi::TopicSummarization.summarize(
topic,
current_user,
skip_age_check: skip_age_check,
)
render_serialized(summary, AiTopicSummarySerializer)
end
end
end
end
end
end
@@ -8,7 +8,7 @@ module DiscourseAi
VERSION = "1"
def share_asset_url(short_path)
::UrlHelper.local_cdn_url("/plugins/discourse-ai/ai-share/#{short_path}?#{VERSION}")
::UrlHelper.absolute("/plugins/discourse-ai/ai-share/#{short_path}?#{VERSION}")
end
end
end
+1 -1
View File
@@ -12,7 +12,7 @@ module Jobs
topic = target.is_a?(Topic) ? target : target.topic
post = target.is_a?(Post) ? target : target.first_post
return unless topic.present? && post.present?
return if topic.blank? || post.blank?
return if topic.private_message? && !SiteSetting.ai_embeddings_generate_for_pms
return if post.raw.blank?
+13 -5
View File
@@ -7,27 +7,35 @@ module Jobs
def execute(args)
return unless post = Post.includes(:topic).find_by(id: args[:post_id])
return unless user = User.find_by(id: args[:user_id])
return unless args[:term_to_explain]
return unless args[:text]
topic = post.topic
reply_to = post.reply_to_post
return unless user.guardian.can_see?(post)
prompt = CompletionPrompt.enabled_by_name("explain")
prompt = CompletionPrompt.enabled_by_name(args[:prompt])
input = <<~TEXT
<term>#{args[:term_to_explain]}</term>
if prompt.id == CompletionPrompt::CUSTOM_PROMPT
prompt.custom_instruction = args[:custom_prompt]
end
if prompt.name == "explain"
input = <<~TEXT
<term>#{args[:text]}</term>
<context>#{post.raw}</context>
<topic>#{topic.title}</topic>
#{reply_to ? "<replyTo>#{reply_to.raw}</replyTo>" : nil}
TEXT
else
input = args[:text]
end
DiscourseAi::AiHelper::Assistant.new.stream_prompt(
prompt,
input,
user,
"/discourse-ai/ai-helper/explain/#{post.id}",
"/discourse-ai/ai-helper/stream_suggestion/#{post.id}",
)
end
end
@@ -0,0 +1,50 @@
# frozen_string_literal: true
module Jobs
class StreamTopicAiSummary < ::Jobs::Base
sidekiq_options retry: false
def execute(args)
return unless topic = Topic.find_by(id: args[:topic_id])
return unless user = User.find_by(id: args[:user_id])
strategy = DiscourseAi::Summarization.default_strategy
return if strategy.nil? || !Guardian.new(user).can_see_summary?(topic)
guardian = Guardian.new(user)
return unless guardian.can_see?(topic)
skip_age_check = !!args[:skip_age_check]
streamed_summary = +""
start = Time.now
summary =
DiscourseAi::TopicSummarization
.new(strategy, topic, user)
.summarize(skip_age_check: skip_age_check) do |partial_summary|
streamed_summary << partial_summary
# Throttle updates.
if (Time.now - start > 0.5) || Rails.env.test?
payload = { done: false, ai_topic_summary: { summarized_text: streamed_summary } }
publish_update(topic, user, payload)
start = Time.now
end
end
publish_update(
topic,
user,
AiTopicSummarySerializer.new(summary, { scope: guardian }).as_json.merge(done: true),
)
end
private
def publish_update(topic, user, payload)
MessageBus.publish("/discourse-ai/summaries/topic/#{topic.id}", payload, user_ids: [user.id])
end
end
end
+94 -215
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+32
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@@ -0,0 +1,32 @@
# frozen_string_literal: true
class AiSummary < ActiveRecord::Base
belongs_to :target, polymorphic: true
def mark_as_outdated
@outdated = true
end
def outdated
@outdated || false
end
end
# == Schema Information
#
# Table name: ai_summaries
#
# id :bigint not null, primary key
# target_id :integer not null
# target_type :string not null
# content_range :int4range
# summarized_text :string not null
# original_content_sha :string not null
# algorithm :string not null
# created_at :datetime not null
# updated_at :datetime not null
#
# Indexes
#
# index_ai_summaries_on_target_type_and_target_id (target_type,target_id)
#
+186
View File
@@ -0,0 +1,186 @@
# frozen_string_literal: true
class AiTool < ActiveRecord::Base
validates :name, presence: true, length: { maximum: 100 }
validates :description, presence: true, length: { maximum: 1000 }
validates :summary, presence: true, length: { maximum: 255 }
validates :script, presence: true, length: { maximum: 100_000 }
validates :created_by_id, presence: true
belongs_to :created_by, class_name: "User"
def signature
{ name: name, description: description, parameters: parameters.map(&:symbolize_keys) }
end
def runner(parameters, llm:, bot_user:, context: {})
DiscourseAi::AiBot::ToolRunner.new(
parameters: parameters,
llm: llm,
bot_user: bot_user,
context: context,
tool: self,
)
end
after_commit :bump_persona_cache
def bump_persona_cache
AiPersona.persona_cache.flush!
end
def self.presets
[
{
preset_id: "browse_web_jina",
name: "browse_web",
description: "Browse the web as a markdown document",
parameters: [
{ name: "url", type: "string", required: true, description: "The URL to browse" },
],
script: <<~SCRIPT,
let url;
function invoke(p) {
url = p.url;
result = http.get(`https://r.jina.ai/${url}`);
// truncates to 15000 tokens
return llm.truncate(result.body, 15000);
}
function details() {
return "Read: " + url
}
SCRIPT
},
{
preset_id: "exchange_rate",
name: "exchange_rate",
description: "Get current exchange rates for various currencies",
parameters: [
{
name: "base_currency",
type: "string",
required: true,
description: "The base currency code (e.g., USD, EUR)",
},
{
name: "target_currency",
type: "string",
required: true,
description: "The target currency code (e.g., EUR, JPY)",
},
{ name: "amount", type: "number", description: "Amount to convert eg: 123.45" },
],
script: <<~SCRIPT,
// note: this script uses the open.er-api.com service, it is only updated
// once every 24 hours, for more up to date rates see: https://www.exchangerate-api.com
function invoke(params) {
const url = `https://open.er-api.com/v6/latest/${params.base_currency}`;
const result = http.get(url);
if (result.status !== 200) {
return { error: "Failed to fetch exchange rates" };
}
const data = JSON.parse(result.body);
const rate = data.rates[params.target_currency];
if (!rate) {
return { error: "Target currency not found" };
}
const rval = {
base_currency: params.base_currency,
target_currency: params.target_currency,
exchange_rate: rate,
last_updated: data.time_last_update_utc
};
if (params.amount) {
rval.original_amount = params.amount;
rval.converted_amount = params.amount * rate;
}
return rval;
}
function details() {
return "<a href='https://www.exchangerate-api.com'>Rates By Exchange Rate API</a>";
}
SCRIPT
summary: "Get current exchange rates between two currencies",
},
{
preset_id: "stock_quote",
name: "stock_quote",
description: "Get real-time stock quote information using AlphaVantage API",
parameters: [
{
name: "symbol",
type: "string",
required: true,
description: "The stock symbol (e.g., AAPL, GOOGL)",
},
],
script: <<~SCRIPT,
function invoke(params) {
const apiKey = 'YOUR_ALPHAVANTAGE_API_KEY'; // Replace with your actual API key
const url = `https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol=${params.symbol}&apikey=${apiKey}`;
const result = http.get(url);
if (result.status !== 200) {
return { error: "Failed to fetch stock quote" };
}
const data = JSON.parse(result.body);
if (data['Error Message']) {
return { error: data['Error Message'] };
}
const quote = data['Global Quote'];
if (!quote || Object.keys(quote).length === 0) {
return { error: "No data found for the given symbol" };
}
return {
symbol: quote['01. symbol'],
price: parseFloat(quote['05. price']),
change: parseFloat(quote['09. change']),
change_percent: quote['10. change percent'],
volume: parseInt(quote['06. volume']),
latest_trading_day: quote['07. latest trading day']
};
}
function details() {
return "<a href='https://www.alphavantage.co'>Stock data provided by AlphaVantage</a>";
}
SCRIPT
summary: "Get real-time stock quotes using AlphaVantage API",
},
{ preset_id: "empty_tool", script: <<~SCRIPT },
function invoke(params) {
// logic here
return params;
}
function details() {
return "Details about this tool";
}
SCRIPT
].map do |preset|
preset[:preset_name] = I18n.t("discourse_ai.tools.presets.#{preset[:preset_id]}.name")
preset
end
end
end
# == Schema Information
#
# Table name: ai_tools
#
# id :bigint not null, primary key
# name :string not null
# description :string not null
# summary :string not null
# parameters :jsonb not null
# script :text not null
# created_by_id :integer not null
# enabled :boolean default(TRUE), not null
# created_at :datetime not null
# updated_at :datetime not null
#
+2 -2
View File
@@ -6,7 +6,7 @@ end
# == Schema Information
#
# Table name: message_custom_prompts
# Table name: chat_message_custom_prompts
#
# id :bigint not null, primary key
# message_id :bigint not null
@@ -16,5 +16,5 @@ end
#
# Indexes
#
# index_message_custom_prompts_on_message_id (message_id) UNIQUE
# index_chat_message_custom_prompts_on_message_id (message_id) UNIQUE
#
+92
View File
@@ -1,9 +1,97 @@
# frozen_string_literal: true
class LlmModel < ActiveRecord::Base
FIRST_BOT_USER_ID = -1200
BEDROCK_PROVIDER_NAME = "aws_bedrock"
belongs_to :user
validates :display_name, presence: true, length: { maximum: 100 }
validates :tokenizer, presence: true, inclusion: DiscourseAi::Completions::Llm.tokenizer_names
validates :provider, presence: true, inclusion: DiscourseAi::Completions::Llm.provider_names
validates :url, presence: true, unless: -> { provider == BEDROCK_PROVIDER_NAME }
validates_presence_of :name, :api_key
validates :max_prompt_tokens, numericality: { greater_than: 0 }
validate :required_provider_params
def self.provider_params
{
aws_bedrock: {
url_editable: false,
fields: %i[access_key_id region],
},
open_ai: {
url_editable: true,
fields: %i[organization],
},
}
end
def to_llm
DiscourseAi::Completions::Llm.proxy("custom:#{id}")
end
def toggle_companion_user
return if name == "fake" && Rails.env.production?
enable_check = SiteSetting.ai_bot_enabled && enabled_chat_bot
if enable_check
if !user
next_id = DB.query_single(<<~SQL).first
SELECT min(id) - 1 FROM users
SQL
new_user =
User.new(
id: [FIRST_BOT_USER_ID, next_id].min,
email: "no_email_#{SecureRandom.hex}",
name: name.titleize,
username: UserNameSuggester.suggest(name),
active: true,
approved: true,
admin: true,
moderator: true,
trust_level: TrustLevel[4],
)
new_user.save!(validate: false)
self.update!(user: new_user)
else
user.active = true
user.save!(validate: false)
end
elsif user
# will include deleted
has_posts = DB.query_single("SELECT 1 FROM posts WHERE user_id = #{user.id} LIMIT 1").present?
if has_posts
user.update!(active: false) if user.active
else
user.destroy!
self.update!(user: nil)
end
end
end
def tokenizer_class
tokenizer.constantize
end
def lookup_custom_param(key)
provider_params&.dig(key)
end
private
def required_provider_params
return if provider != BEDROCK_PROVIDER_NAME
%w[access_key_id region].each do |field|
if lookup_custom_param(field).blank?
errors.add(:base, I18n.t("discourse_ai.llm_models.missing_provider_param", param: field))
end
end
end
end
# == Schema Information
@@ -20,4 +108,8 @@ end
# updated_at :datetime not null
# url :string
# api_key :string
# user_id :integer
# enabled_chat_bot :boolean default(FALSE), not null
# provider_params :jsonb
# vision_enabled :boolean default(FALSE), not null
#
+2 -2
View File
@@ -2,8 +2,8 @@
class ModelAccuracy < ActiveRecord::Base
def self.adjust_model_accuracy(new_status, reviewable)
return unless %i[approved rejected].include?(new_status)
return unless [ReviewableAiPost, ReviewableAiChatMessage].include?(reviewable.class)
return if %i[approved rejected].exclude?(new_status)
return if [ReviewableAiPost, ReviewableAiChatMessage].exclude?(reviewable.class)
verdicts = reviewable.payload.to_h["verdicts"] || {}
+5 -9
View File
@@ -133,12 +133,10 @@ class SharedAiConversation < ActiveRecord::Base
end
def self.build_conversation_data(topic, max_posts: DEFAULT_MAX_POSTS, include_usernames: false)
llm_name = nil
topic.topic_allowed_users.each do |tu|
if DiscourseAi::AiBot::EntryPoint::BOT_USER_IDS.include?(tu.user_id)
llm_name = DiscourseAi::AiBot::EntryPoint.find_bot_by_id(tu.user_id)&.llm
end
end
allowed_user_ids = topic.topic_allowed_users.pluck(:user_id)
ai_bot_participant = DiscourseAi::AiBot::EntryPoint.find_participant_in(allowed_user_ids)
llm_name = ai_bot_participant&.llm
llm_name = ActiveSupport::Inflector.humanize(llm_name) if llm_name
llm_name ||= I18n.t("discourse_ai.unknown_model")
@@ -170,9 +168,7 @@ class SharedAiConversation < ActiveRecord::Base
cooked: post.cooked,
}
mapped[:persona] = persona if ::DiscourseAi::AiBot::EntryPoint::BOT_USER_IDS.include?(
post.user_id,
)
mapped[:persona] = persona if ai_bot_participant&.id == post.user_id
mapped[:username] = post.user&.username if include_usernames
mapped
end,
@@ -0,0 +1,16 @@
# frozen_string_literal: true
class AiApiAuditLogSerializer < ApplicationSerializer
attributes :id,
:provider_id,
:user_id,
:request_tokens,
:response_tokens,
:raw_request_payload,
:raw_response_payload,
:topic_id,
:post_id,
:feature_name,
:language_model,
:created_at
end

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