Sam e817b7dc11
FEATURE: improve tool support (#904)
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)
2024-11-12 08:14:30 +11:00

160 lines
4.0 KiB
Ruby

# frozen_string_literal: true
require_relative "endpoint_compliance"
class OllamaMock < EndpointMock
def response(content, tool_call: false)
message_content =
if tool_call
{ content: "", tool_calls: [content] }
else
{ content: content }
end
{
created_at: "2024-09-25T06:47:21.283028Z",
model: "llama3.1",
message: { role: "assistant" }.merge(message_content),
done: true,
done_reason: "stop",
total_duration: 7_639_718_541,
load_duration: 299_886_663,
prompt_eval_count: 18,
prompt_eval_duration: 220_447_000,
eval_count: 18,
eval_duration: 220_447_000,
}
end
def stub_response(prompt, response_text, tool_call: false)
WebMock
.stub_request(:post, "http://api.ollama.ai/api/chat")
.with(body: request_body(prompt, tool_call: tool_call))
.to_return(status: 200, body: JSON.dump(response(response_text, tool_call: tool_call)))
end
def stream_line(delta)
message_content = { content: delta }
+{
model: "llama3.1",
created_at: "2024-09-25T06:47:21.283028Z",
message: { role: "assistant" }.merge(message_content),
done: false,
}.to_json
end
def stub_raw(chunks)
WebMock.stub_request(:post, "http://api.ollama.ai/api/chat").to_return(
status: 200,
body: chunks,
)
end
def stub_streamed_response(prompt, deltas)
chunks = deltas.each_with_index.map { |_, index| stream_line(deltas[index]) }
chunks =
(
chunks.join("\n\n") << {
model: "llama3.1",
created_at: "2024-09-25T06:47:21.283028Z",
message: {
role: "assistant",
content: "",
},
done: true,
done_reason: "stop",
total_duration: 7_639_718_541,
load_duration: 299_886_663,
prompt_eval_count: 18,
prompt_eval_duration: 220_447_000,
eval_count: 18,
eval_duration: 220_447_000,
}.to_json
).split("")
WebMock
.stub_request(:post, "http://api.ollama.ai/api/chat")
.with(body: request_body(prompt))
.to_return(status: 200, body: chunks)
yield if block_given?
end
def tool_response
{ function: { name: "get_weather", arguments: { location: "Sydney", unit: "c" } } }
end
def tool_payload
{
type: "function",
function: {
name: "get_weather",
description: "Get the weather in a city",
parameters: {
type: "object",
properties: {
location: {
type: "string",
description: "the city name",
},
unit: {
type: "string",
description: "the unit of measurement celcius c or fahrenheit f",
enum: %w[c f],
},
},
required: %w[location unit],
},
},
}
end
def request_body(prompt, tool_call: false)
model
.default_options
.merge(messages: prompt)
.tap do |b|
b[:stream] = false
b[:tools] = [tool_payload] if tool_call
end
.to_json
end
end
RSpec.describe DiscourseAi::Completions::Endpoints::Ollama do
subject(:endpoint) { described_class.new(model) }
fab!(:user)
fab!(:model) { Fabricate(:ollama_model) }
let(:ollama_mock) { OllamaMock.new(endpoint) }
let(:compliance) do
EndpointsCompliance.new(self, endpoint, DiscourseAi::Completions::Dialects::Ollama, user)
end
describe "#perform_completion!" do
context "when using regular mode" do
it "completes a trivial prompt and logs the response" do
compliance.regular_mode_simple_prompt(ollama_mock)
end
end
context "with tools" do
it "returns a function invocation" do
compliance.regular_mode_tools(ollama_mock)
end
end
end
describe "when using streaming mode" do
context "with simple prompts" do
it "completes a trivial prompt and logs the response" do
compliance.streaming_mode_simple_prompt(ollama_mock)
end
end
end
end