Commit Graph

25 Commits

Author SHA1 Message Date
Sam 05d8b021f1
FIX: scrub invalid prompts when truncating (#426)
When you trim a prompt we never want to have a state where there
is a "tool" reply without a corresponding tool call, it makes no
sense

Also

- GPT-4-Turbo is 128k, fix that
- Claude was not preserving username in prompt
- We were throwing away unicode usernames instead of adding to
message
2024-01-16 13:48:00 +11:00
Roman Rizzi ff4da6ace8
FIX: Clean unicode usernames when adding messages through prompt's contrstuctor (#425) 2024-01-15 12:01:40 -03:00
Sam 825f01cfb2
FEATURE: even smoother streaming (#420)
Account properly for function calls, don't stream through <details> blocks
- Rush cooked content back to client
- Wait longer (up to 60 seconds) before giving up on streaming
- Clean up message bus channels so we don't have leftover data
- Make ai streamer much more reusable and much easier to read
- If buffer grows quickly, rush update so you are not artificially waiting
- Refine prompt interface
- Fix lost system message when prompt gets long
2024-01-15 18:51:14 +11:00
Roman Rizzi 04eae76f68
REFACTOR: Represent generic prompts with an Object. (#416)
* REFACTOR: Represent generic prompts with an Object.

* Adds a bit more validation for clarity

* Rewrite bot title prompt and fix quirk handling

---------

Co-authored-by: Sam Saffron <sam.saffron@gmail.com>
2024-01-12 14:36:44 -03:00
Sam 8df966e9c5
FEATURE: smooth streaming of AI responses on the client (#413)
This PR introduces 3 things:

1. Fake bot that can be used on local so you can test LLMs, to enable on dev use:

SiteSetting.ai_bot_enabled_chat_bots = "fake"

2. More elegant smooth streaming of progress on LLM completion

This leans on JavaScript to buffer and trickle llm results through. It also amends it so the progress dot is much 
more consistently rendered

3. It fixes the Claude dialect 

Claude needs newlines **exactly** at the right spot, amended so it is happy 

---------

Co-authored-by: Martin Brennan <martin@discourse.org>
2024-01-11 15:56:40 +11:00
Roman Rizzi abde82c1f3
FIX: Use claude-2.1 to enable system prompts (#411) 2024-01-09 14:10:20 -03:00
Sam b0a0cbe3ca
FIX: improve bot behavior (#408)
* FIX: improve bot behavior

- Provide more information to Gemini context post function execution
- Use system prompts for Claude (fixes Dall E)
- Ensure Assistant is properly separated
- Teach Claude to return arrays in JSON vs XML

Also refactors tests so we do not copy tool preamble everywhere

* System msg is claude-2 only. fix typo

---------

Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
2024-01-08 10:28:03 -03:00
Roman Rizzi 6124f910c1
FIX: Bring back Azure support. (#407)
We thought Azure's latest API version didn't have tool support yet, but I didn't understand it was complaining about a required field in the tool call message.
2024-01-05 17:08:10 -03:00
Sam 17cc09ec9c
FIX: don't include <details> in context (#406)
* FIX: don't include <details> in context

We need to be careful adding <details> into context of conversations
it can cause LLMs to hallucinate results

* Fix Gemini multi-turn ctx flattening

---------

Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
2024-01-05 15:21:14 -03:00
Roman Rizzi 971e03bdf2
FEATURE: AI Bot Gemini support. (#402)
It also corrects the syntax around tool support, which was wrong.

Gemini doesn't want us to include messages about previous tool invocations, so I had to shuffle around some code to send the response it generated from those invocations instead. For this, I created the "multi_turn" context, which bundles all the context involved in the interaction.
2024-01-04 18:15:34 -03:00
Roman Rizzi f9d7d7f5f0
DEV: AI bot migration to the Llm pattern. (#343)
* DEV: AI bot migration to the Llm pattern.

We added tool and conversation context support to the Llm service in discourse-ai#366, meaning we met all the conditions to migrate this module.

This PR migrates to the new pattern, meaning adding a new bot now requires minimal effort as long as the service supports it. On top of this, we introduce the concept of a "Playground" to separate the PM-specific bits from the completion, allowing us to use the bot in other contexts like chat in the future. Commands are called tools, and we simplified all the placeholder logic to perform updates in a single place, making the flow more one-wayish.

* Followup fixes based on testing

* Cleanup unused inference code

* FIX: text-based tools could be in the middle of a sentence

* GPT-4-turbo support

* Use new LLM API
2024-01-04 10:44:07 -03:00
Sam 03fc94684b
FIX: AI helper not working correctly with mixtral (#399)
* FIX: AI helper not working correctly with mixtral

This PR introduces a new function on the generic llm called #generate

This will replace the implementation of completion!

#generate introduces a new way to pass temperature, max_tokens and stop_sequences

Then LLM implementers need to implement #normalize_model_params to
ensure the generic names match the LLM specific endpoint

This also adds temperature and stop_sequences to completion_prompts
this allows for much more robust completion prompts

* port everything over to #generate

* Fix translation

- On anthropic this no longer throws random "This is your translation:"
- On mixtral this actually works

* fix markdown table generation as well
2024-01-04 09:53:47 -03:00
Roman Rizzi 4182af230a
FIX: Correctly translate and read tools for Claude and Chat GPT. (#393)
I tested against the live models for the AI bot migration. It ensures Open AI's tool syntax is correct and we can correctly read the replies.
:
2024-01-02 11:21:13 -03:00
Rafael dos Santos Silva 5db7bf6e68
Mixtral (#376)
Add both Mistral and Mixtral support. Also includes vLLM-openAI inference support.

Co-authored-by: Roman Rizzi <rizziromanalejandro@gmail.com>
2023-12-26 14:49:55 -03:00
Sam af2e692761
FIX: under certain conditions we would get duplicate data from llm (#373)
Previously endpoint/base would `+=` decoded_chunk to leftover

This could lead to cases where the leftover buffer had duplicate
previously processed data

Fix ensures we properly skip previously decoded data.
2023-12-20 14:28:05 -03:00
Roman Rizzi e0bf6adb5b
DEV: Tool support for the LLM service. (#366)
This PR adds tool support to available LLMs. We'll buffer tool invocations and return them instead of making users of this service parse the response.

It also adds support for conversation context in the generic prompt. It includes bot messages, user messages, and tool invocations, which we'll trim to make sure it doesn't exceed the prompt limit, then translate them to the correct dialect.

Finally, It adds some buffering when reading chunks to handle cases when streaming is extremely slow.:M
2023-12-18 18:06:01 -03:00
Rafael dos Santos Silva 83744bf192
FEATURE: Support for Gemini in AiHelper / Search / Summarization (#358) 2023-12-15 14:32:01 -03:00
Roman Rizzi 031c2a6b46
Revert "FIX: Recover from Bedrock returning invalid base64 payloads during streaming (#352)" (#353)
This reverts commit ef7d4cc509.
2023-12-12 17:22:44 -03:00
Roman Rizzi ef7d4cc509
FIX: Recover from Bedrock returning invalid base64 payloads during streaming (#352) 2023-12-12 17:06:53 -03:00
Rafael dos Santos Silva 252efdf142
FIX: Don't echo prompt back on HF/TGI (#338)
* FIX: Don't echo prompt back on HF/TGI

* teeeeests
2023-12-06 16:06:26 -03:00
Rafael dos Santos Silva d8267d8da0
FIX: Many fixes for huggingface and llama2 inference (#335) 2023-12-06 11:22:42 -03:00
Sam 6ddc17fd61
DEV: port directory structure to Zeitwerk (#319)
Previous to this change we relied on explicit loading for a files in Discourse AI.

This had a few downsides:

- Busywork whenever you add a file (an extra require relative)
- We were not keeping to conventions internally ... some places were OpenAI others are OpenAi
- Autoloader did not work which lead to lots of full application broken reloads when developing.

This moves all of DiscourseAI into a Zeitwerk compatible structure.

It also leaves some minimal amount of manual loading (automation - which is loading into an existing namespace that may or may not be there)

To avoid needing /lib/discourse_ai/... we mount a namespace thus we are able to keep /lib pointed at ::DiscourseAi

Various files were renamed to get around zeitwerk rules and minimize usage of custom inflections

Though we can get custom inflections to work it is not worth it, will require a Discourse core patch which means we create a hard dependency.
2023-11-29 15:17:46 +11:00
Roman Rizzi 02efca162e
FIX: Bedrock uses slightly different model names
* Revert "FIX: We don't need to prepend anthropic. to bedrock models (#308)"

This reverts commit 8a01751991.

* FIX: Bedrock uses slightly different model names
2023-11-23 15:49:24 -03:00
Roman Rizzi 8a01751991
FIX: We don't need to prepend anthropic. to bedrock models (#308) 2023-11-23 14:39:21 -03:00
Roman Rizzi 3064d4c288
REFACTOR: Summarization and HyDE now use an LLM abstraction. (#297)
* DEV: One LLM abstraction to rule them all

* REFACTOR: HyDE search uses new LLM abstraction

* REFACTOR: Summarization uses the LLM abstraction

* Updated documentation and made small fixes. Remove Bedrock claude-2 restriction
2023-11-23 12:58:54 -03:00