Implement streaming tool call implementation for Anthropic and Open AI.
When calling:
llm.generate(..., partial_tool_calls: true) do ...
Partials may contain ToolCall instances with partial: true, These tool calls are partially populated with json partially parsed.
So for example when performing a search you may get:
ToolCall(..., {search: "hello" })
ToolCall(..., {search: "hello world" })
The library used to parse json is:
https://github.com/dgraham/json-stream
We use a fork cause we need access to the internal buffer.
This prepares internals to perform partial tool calls, but does not implement it yet.
This PR fixes an issue where the AI search results were not being reset when you append your search to an existing query param (typically when you've come from quick search). This is because `handleSearch()` doesn't get called in this situation. So here we explicitly check for query params, trigger a reset and search for those occasions.
This re-implements tool support in DiscourseAi::Completions::Llm #generate
Previously tool support was always returned via XML and it would be the responsibility of the caller to parse XML
New implementation has the endpoints return ToolCall objects.
Additionally this simplifies the Llm endpoint interface and gives it more clarity. Llms must implement
decode, decode_chunk (for streaming)
It is the implementers responsibility to figure out how to decode chunks, base no longer implements. To make this easy we ship a flexible json decoder which is easy to wire up.
Also (new)
Better debugging for PMs, we now have a next / previous button to see all the Llm messages associated with a PM
Token accounting is fixed for vllm (we were not correctly counting tokens)
This PR fixes an issue where clicking to regenerate a summary was still showing the cached summary. To resolve this we call resetSummary() to reset all the summarization related properties before creating a new request.
This PR further decouples the streaming animation by completely handling the streaming animation directly in the `AiSummaryBox` component. Previously, handling the streaming animation by calling methods in the `ai-streamer` API was leading to timing issues making things out-of-sync. This results in some issues such as the last update of streamed text not being shown. Handling streaming directly in the component should simplify things drastically and prevent any issues.
This change introduces a job to summarize topics and cache the results automatically. We provide a setting to control how many topics we'll backfill per hour and what the topic's minimum word count is to qualify.
We'll prioritize topics without summary over outdated ones.
Fixes encoding of params on LLM function calls.
Previously we would improperly return results if a function parameter returned an HTML tag.
Additionally adds some missing HTTP verbs to tool calls.
Rafael dos Santos Silva
Sam
Keegan George
Sérgio Saquetim
Kris
Discourse Translator Bot
Roman Rizzi
Osama Sayegh
Jarek Radosz