390 lines
12 KiB
Ruby
390 lines
12 KiB
Ruby
# frozen_string_literal: true
|
|
require_relative "endpoint_compliance"
|
|
|
|
RSpec.describe DiscourseAi::Completions::Endpoints::Anthropic do
|
|
let(:url) { "https://api.anthropic.com/v1/messages" }
|
|
fab!(:model) do
|
|
Fabricate(
|
|
:llm_model,
|
|
url: "https://api.anthropic.com/v1/messages",
|
|
name: "claude-3-opus",
|
|
provider: "anthropic",
|
|
api_key: "123",
|
|
vision_enabled: true,
|
|
)
|
|
end
|
|
let(:llm) { DiscourseAi::Completions::Llm.proxy("custom:#{model.id}") }
|
|
let(:image100x100) { plugin_file_from_fixtures("100x100.jpg") }
|
|
let(:upload100x100) do
|
|
UploadCreator.new(image100x100, "image.jpg").create_for(Discourse.system_user.id)
|
|
end
|
|
|
|
let(:prompt) do
|
|
DiscourseAi::Completions::Prompt.new(
|
|
"You are hello bot",
|
|
messages: [type: :user, id: "user1", content: "hello"],
|
|
)
|
|
end
|
|
|
|
let(:echo_tool) do
|
|
{
|
|
name: "echo",
|
|
description: "echo something",
|
|
parameters: [{ name: "text", type: "string", description: "text to echo", required: true }],
|
|
}
|
|
end
|
|
|
|
let(:google_tool) do
|
|
{
|
|
name: "google",
|
|
description: "google something",
|
|
parameters: [
|
|
{ name: "query", type: "string", description: "text to google", required: true },
|
|
],
|
|
}
|
|
end
|
|
|
|
let(:prompt_with_echo_tool) do
|
|
prompt_with_tools = prompt
|
|
prompt.tools = [echo_tool]
|
|
prompt_with_tools
|
|
end
|
|
|
|
let(:prompt_with_google_tool) do
|
|
prompt_with_tools = prompt
|
|
prompt.tools = [echo_tool]
|
|
prompt_with_tools
|
|
end
|
|
|
|
it "does not eat spaces with tool calls" do
|
|
SiteSetting.ai_anthropic_native_tool_call_models = "claude-3-opus"
|
|
body = <<~STRING
|
|
event: message_start
|
|
data: {"type":"message_start","message":{"id":"msg_01Ju4j2MiGQb9KV9EEQ522Y3","type":"message","role":"assistant","model":"claude-3-haiku-20240307","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1293,"output_tokens":1}} }
|
|
|
|
event: content_block_start
|
|
data: {"type":"content_block_start","index":0,"content_block":{"type":"tool_use","id":"toolu_01DjrShFRRHp9SnHYRFRc53F","name":"search","input":{}} }
|
|
|
|
event: ping
|
|
data: {"type": "ping"}
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":""} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"{\\"searc"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"h_qu"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"er"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"y\\": \\"s"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"am"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":" "} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"sam\\""} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":", \\"cate"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"gory"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"\\": \\"gene"} }
|
|
|
|
event: content_block_delta
|
|
data: {"type":"content_block_delta","index":0,"delta":{"type":"input_json_delta","partial_json":"ral\\"}"} }
|
|
|
|
event: content_block_stop
|
|
data: {"type":"content_block_stop","index":0 }
|
|
|
|
event: message_delta
|
|
data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"output_tokens":70} }
|
|
|
|
event: message_stop
|
|
data: {"type":"message_stop"}
|
|
STRING
|
|
|
|
result = +""
|
|
body = body.scan(/.*\n/)
|
|
EndpointMock.with_chunk_array_support do
|
|
stub_request(:post, url).to_return(status: 200, body: body)
|
|
|
|
llm.generate(prompt_with_google_tool, user: Discourse.system_user) do |partial|
|
|
result << partial
|
|
end
|
|
end
|
|
|
|
expected = (<<~TEXT).strip
|
|
<function_calls>
|
|
<invoke>
|
|
<tool_name>search</tool_name>
|
|
<parameters><search_query>sam sam</search_query>
|
|
<category>general</category></parameters>
|
|
<tool_id>toolu_01DjrShFRRHp9SnHYRFRc53F</tool_id>
|
|
</invoke>
|
|
</function_calls>
|
|
TEXT
|
|
|
|
expect(result.strip).to eq(expected)
|
|
end
|
|
|
|
it "can stream a response" do
|
|
body = (<<~STRING).strip
|
|
event: message_start
|
|
data: {"type": "message_start", "message": {"id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY", "type": "message", "role": "assistant", "content": [], "model": "claude-3-opus-20240229", "stop_reason": null, "stop_sequence": null, "usage": {"input_tokens": 25, "output_tokens": 1}}}
|
|
|
|
event: content_block_start
|
|
data: {"type": "content_block_start", "index":0, "content_block": {"type": "text", "text": ""}}
|
|
|
|
event: ping
|
|
data: {"type": "ping"}
|
|
|
|
event: content_block_delta
|
|
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "Hello"}}
|
|
|
|
event: content_block_delta
|
|
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "!"}}
|
|
|
|
event: content_block_stop
|
|
data: {"type": "content_block_stop", "index": 0}
|
|
|
|
event: message_delta
|
|
data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence":null, "usage":{"output_tokens": 15}}}
|
|
|
|
event: message_stop
|
|
data: {"type": "message_stop"}
|
|
STRING
|
|
|
|
parsed_body = nil
|
|
|
|
stub_request(:post, url).with(
|
|
body:
|
|
proc do |req_body|
|
|
parsed_body = JSON.parse(req_body, symbolize_names: true)
|
|
true
|
|
end,
|
|
headers: {
|
|
"Content-Type" => "application/json",
|
|
"X-Api-Key" => "123",
|
|
"Anthropic-Version" => "2023-06-01",
|
|
},
|
|
).to_return(status: 200, body: body)
|
|
|
|
result = +""
|
|
llm.generate(prompt, user: Discourse.system_user, feature_name: "testing") do |partial, cancel|
|
|
result << partial
|
|
end
|
|
|
|
expect(result).to eq("Hello!")
|
|
|
|
expected_body = {
|
|
model: "claude-3-opus-20240229",
|
|
max_tokens: 3000,
|
|
messages: [{ role: "user", content: "user1: hello" }],
|
|
system: "You are hello bot",
|
|
stream: true,
|
|
}
|
|
expect(parsed_body).to eq(expected_body)
|
|
|
|
log = AiApiAuditLog.order(:id).last
|
|
expect(log.provider_id).to eq(AiApiAuditLog::Provider::Anthropic)
|
|
expect(log.feature_name).to eq("testing")
|
|
expect(log.response_tokens).to eq(15)
|
|
expect(log.request_tokens).to eq(25)
|
|
end
|
|
|
|
it "supports non streaming tool calls" do
|
|
tool = {
|
|
name: "calculate",
|
|
description: "calculate something",
|
|
parameters: [
|
|
{
|
|
name: "expression",
|
|
type: "string",
|
|
description: "expression to calculate",
|
|
required: true,
|
|
},
|
|
],
|
|
}
|
|
|
|
prompt =
|
|
DiscourseAi::Completions::Prompt.new(
|
|
"You a calculator",
|
|
messages: [{ type: :user, id: "user1", content: "calculate 2758975 + 21.11" }],
|
|
tools: [tool],
|
|
)
|
|
|
|
proxy = DiscourseAi::Completions::Llm.proxy("anthropic:claude-3-haiku")
|
|
|
|
body = {
|
|
id: "msg_01RdJkxCbsEj9VFyFYAkfy2S",
|
|
type: "message",
|
|
role: "assistant",
|
|
model: "claude-3-haiku-20240307",
|
|
content: [
|
|
{ type: "text", text: "Here is the calculation:" },
|
|
{
|
|
type: "tool_use",
|
|
id: "toolu_012kBdhG4eHaV68W56p4N94h",
|
|
name: "calculate",
|
|
input: {
|
|
expression: "2758975 + 21.11",
|
|
},
|
|
},
|
|
],
|
|
stop_reason: "tool_use",
|
|
stop_sequence: nil,
|
|
usage: {
|
|
input_tokens: 345,
|
|
output_tokens: 65,
|
|
},
|
|
}.to_json
|
|
|
|
stub_request(:post, url).to_return(body: body)
|
|
|
|
result = proxy.generate(prompt, user: Discourse.system_user)
|
|
|
|
expected = <<~TEXT.strip
|
|
<function_calls>
|
|
<invoke>
|
|
<tool_name>calculate</tool_name>
|
|
<parameters><expression>2758975 + 21.11</expression></parameters>
|
|
<tool_id>toolu_012kBdhG4eHaV68W56p4N94h</tool_id>
|
|
</invoke>
|
|
</function_calls>
|
|
TEXT
|
|
|
|
expect(result.strip).to eq(expected)
|
|
end
|
|
|
|
it "can send images via a completion prompt" do
|
|
prompt =
|
|
DiscourseAi::Completions::Prompt.new(
|
|
"You are image bot",
|
|
messages: [type: :user, id: "user1", content: "hello", upload_ids: [upload100x100.id]],
|
|
)
|
|
|
|
encoded = prompt.encoded_uploads(prompt.messages.last)
|
|
|
|
request_body = {
|
|
model: "claude-3-opus-20240229",
|
|
max_tokens: 3000,
|
|
messages: [
|
|
{
|
|
role: "user",
|
|
content: [
|
|
{
|
|
type: "image",
|
|
source: {
|
|
type: "base64",
|
|
media_type: "image/jpeg",
|
|
data: encoded[0][:base64],
|
|
},
|
|
},
|
|
{ type: "text", text: "user1: hello" },
|
|
],
|
|
},
|
|
],
|
|
system: "You are image bot",
|
|
}
|
|
|
|
response_body = <<~STRING
|
|
{
|
|
"content": [
|
|
{
|
|
"text": "What a cool image",
|
|
"type": "text"
|
|
}
|
|
],
|
|
"id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
|
|
"model": "claude-3-opus-20240229",
|
|
"role": "assistant",
|
|
"stop_reason": "end_turn",
|
|
"stop_sequence": null,
|
|
"type": "message",
|
|
"usage": {
|
|
"input_tokens": 10,
|
|
"output_tokens": 25
|
|
}
|
|
}
|
|
STRING
|
|
|
|
requested_body = nil
|
|
stub_request(:post, url).with(
|
|
body:
|
|
proc do |req_body|
|
|
requested_body = JSON.parse(req_body, symbolize_names: true)
|
|
true
|
|
end,
|
|
).to_return(status: 200, body: response_body)
|
|
|
|
result = llm.generate(prompt, user: Discourse.system_user)
|
|
|
|
expect(result).to eq("What a cool image")
|
|
expect(requested_body).to eq(request_body)
|
|
end
|
|
|
|
it "can operate in regular mode" do
|
|
body = <<~STRING
|
|
{
|
|
"content": [
|
|
{
|
|
"text": "Hello!",
|
|
"type": "text"
|
|
}
|
|
],
|
|
"id": "msg_013Zva2CMHLNnXjNJJKqJ2EF",
|
|
"model": "claude-3-opus-20240229",
|
|
"role": "assistant",
|
|
"stop_reason": "end_turn",
|
|
"stop_sequence": null,
|
|
"type": "message",
|
|
"usage": {
|
|
"input_tokens": 10,
|
|
"output_tokens": 25
|
|
}
|
|
}
|
|
STRING
|
|
|
|
parsed_body = nil
|
|
stub_request(:post, url).with(
|
|
body:
|
|
proc do |req_body|
|
|
parsed_body = JSON.parse(req_body, symbolize_names: true)
|
|
true
|
|
end,
|
|
headers: {
|
|
"Content-Type" => "application/json",
|
|
"X-Api-Key" => "123",
|
|
"Anthropic-Version" => "2023-06-01",
|
|
},
|
|
).to_return(status: 200, body: body)
|
|
|
|
result = llm.generate(prompt, user: Discourse.system_user)
|
|
expect(result).to eq("Hello!")
|
|
|
|
expected_body = {
|
|
model: "claude-3-opus-20240229",
|
|
max_tokens: 3000,
|
|
messages: [{ role: "user", content: "user1: hello" }],
|
|
system: "You are hello bot",
|
|
}
|
|
expect(parsed_body).to eq(expected_body)
|
|
|
|
log = AiApiAuditLog.order(:id).last
|
|
expect(log.provider_id).to eq(AiApiAuditLog::Provider::Anthropic)
|
|
expect(log.request_tokens).to eq(10)
|
|
expect(log.response_tokens).to eq(25)
|
|
end
|
|
end
|