discourse-ai/spec/models/ai_tool_spec.rb

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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 <martin@discourse.org>
2024-06-27 03:27:40 -04:00
# frozen_string_literal: true
RSpec.describe AiTool do
fab!(:llm_model) { Fabricate(:llm_model, name: "claude-2") }
let(:llm) { DiscourseAi::Completions::Llm.proxy("custom:#{llm_model.id}") }
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 <martin@discourse.org>
2024-06-27 03:27:40 -04:00
def create_tool(
parameters: nil,
script: nil,
rag_chunk_tokens: nil,
rag_chunk_overlap_tokens: nil
)
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 <martin@discourse.org>
2024-06-27 03:27:40 -04:00
AiTool.create!(
name: "test",
description: "test",
parameters: parameters || [{ name: "query", type: "string", desciption: "perform a search" }],
script: script || "function invoke(params) { return params; }",
created_by_id: 1,
summary: "Test tool summary",
rag_chunk_tokens: rag_chunk_tokens || 374,
rag_chunk_overlap_tokens: rag_chunk_overlap_tokens || 10,
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 <martin@discourse.org>
2024-06-27 03:27:40 -04:00
)
end
it "it can run a basic tool" do
tool = create_tool
expect(tool.signature).to eq(
{
name: "test",
description: "test",
parameters: [{ name: "query", type: "string", desciption: "perform a search" }],
},
)
runner = tool.runner({ "query" => "test" }, llm: nil, bot_user: nil, context: {})
expect(runner.invoke).to eq("query" => "test")
end
it "can perform POST HTTP requests" do
script = <<~JS
function invoke(params) {
result = http.post("https://example.com/api",
{
headers: { TestHeader: "TestValue" },
body: JSON.stringify({ data: params.data })
}
);
return result.body;
}
JS
tool = create_tool(script: script)
runner = tool.runner({ "data" => "test data" }, llm: nil, bot_user: nil, context: {})
stub_request(:post, "https://example.com/api").with(
body: "{\"data\":\"test data\"}",
headers: {
"Accept" => "*/*",
"Testheader" => "TestValue",
"User-Agent" => "Discourse AI Bot 1.0 (https://www.discourse.org)",
},
).to_return(status: 200, body: "Success", headers: {})
result = runner.invoke
expect(result).to eq("Success")
end
it "can perform GET HTTP requests, with 1 param" do
script = <<~JS
function invoke(params) {
result = http.get("https://example.com/" + params.query);
return result.body;
}
JS
tool = create_tool(script: script)
runner = tool.runner({ "query" => "test" }, llm: nil, bot_user: nil, context: {})
stub_request(:get, "https://example.com/test").with(
headers: {
"Accept" => "*/*",
"User-Agent" => "Discourse AI Bot 1.0 (https://www.discourse.org)",
},
).to_return(status: 200, body: "Hello World", headers: {})
result = runner.invoke
expect(result).to eq("Hello World")
end
it "is limited to MAX http requests" do
script = <<~JS
function invoke(params) {
let i = 0;
while (i < 21) {
http.get("https://example.com/");
i += 1;
}
return "will not happen";
}
JS
tool = create_tool(script: script)
runner = tool.runner({}, llm: nil, bot_user: nil, context: {})
stub_request(:get, "https://example.com/").to_return(
status: 200,
body: "Hello World",
headers: {
},
)
expect { runner.invoke }.to raise_error(DiscourseAi::AiBot::ToolRunner::TooManyRequestsError)
end
it "can perform GET HTTP requests" do
script = <<~JS
function invoke(params) {
result = http.get("https://example.com/" + params.query,
{ headers: { TestHeader: "TestValue" } }
);
return result.body;
}
JS
tool = create_tool(script: script)
runner = tool.runner({ "query" => "test" }, llm: nil, bot_user: nil, context: {})
stub_request(:get, "https://example.com/test").with(
headers: {
"Accept" => "*/*",
"Testheader" => "TestValue",
"User-Agent" => "Discourse AI Bot 1.0 (https://www.discourse.org)",
},
).to_return(status: 200, body: "Hello World", headers: {})
result = runner.invoke
expect(result).to eq("Hello World")
end
it "will not timeout on slow HTTP reqs" do
script = <<~JS
function invoke(params) {
result = http.get("https://example.com/" + params.query,
{ headers: { TestHeader: "TestValue" } }
);
return result.body;
}
JS
tool = create_tool(script: script)
runner = tool.runner({ "query" => "test" }, llm: nil, bot_user: nil, context: {})
stub_request(:get, "https://example.com/test").to_return do
sleep 0.01
{ status: 200, body: "Hello World", headers: {} }
end
runner.timeout = 5
result = runner.invoke
expect(result).to eq("Hello World")
end
it "has access to llm truncation tools" do
script = <<~JS
function invoke(params) {
return llm.truncate("Hello World", 1);
}
JS
tool = create_tool(script: script)
runner = tool.runner({}, llm: llm, bot_user: nil, context: {})
result = runner.invoke
expect(result).to eq("Hello")
end
it "can timeout slow JS" do
script = <<~JS
function invoke(params) {
while (true) {}
}
JS
tool = create_tool(script: script)
runner = tool.runner({ "query" => "test" }, llm: nil, bot_user: nil, context: {})
runner.timeout = 5
result = runner.invoke
expect(result[:error]).to eq("Script terminated due to timeout")
end
context "when defining RAG fragments" do
before do
SiteSetting.authorized_extensions = "txt"
SiteSetting.ai_embeddings_enabled = true
SiteSetting.ai_embeddings_discourse_service_api_endpoint = "http://test.com"
SiteSetting.ai_embeddings_model = "bge-large-en"
Jobs.run_immediately!
end
def create_upload(content, filename)
upload = nil
Tempfile.create(filename) do |file|
file.write(content)
file.rewind
upload = UploadCreator.new(file, filename).create_for(Discourse.system_user.id)
end
upload
end
def stub_embeddings
# this is a trick, we get ever increasing embeddings, this gives us in turn
# 100% consistent search results
@counter = 0
stub_request(:post, "http://test.com/api/v1/classify").to_return(
status: 200,
body: lambda { |req| ([@counter += 1] * 1024).to_json },
headers: {
},
)
end
it "allows search within uploads" do
stub_embeddings
upload1 = create_upload(<<~TXT, "test.txt")
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
TXT
upload2 = create_upload(<<~TXT, "test.txt")
30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50
TXT
tool = create_tool(rag_chunk_tokens: 10, rag_chunk_overlap_tokens: 4, script: <<~JS)
function invoke(params) {
let result1 = index.search("testing a search", { limit: 1 });
let result2 = index.search("testing another search", { limit: 3, filenames: ["test.txt"] });
return [result1, result2];
}
JS
RagDocumentFragment.link_target_and_uploads(tool, [upload1.id, upload2.id])
result = tool.runner({}, llm: nil, bot_user: nil, context: {}).invoke
expected = [
[{ "fragment" => "44 45 46 47 48 49 50", "metadata" => nil }],
[
{ "fragment" => "44 45 46 47 48 49 50", "metadata" => nil },
{ "fragment" => "36 37 38 39 40 41 42 43 44 45", "metadata" => nil },
{ "fragment" => "30 31 32 33 34 35 36 37", "metadata" => nil },
],
]
expect(result).to eq(expected)
# will force a reindex
tool.rag_chunk_tokens = 5
tool.rag_chunk_overlap_tokens = 2
tool.save!
# this part of the API is a bit awkward, maybe we should do it
# automatically
RagDocumentFragment.update_target_uploads(tool, [upload1.id, upload2.id])
result = tool.runner({}, llm: nil, bot_user: nil, context: {}).invoke
expected = [
[{ "fragment" => "48 49 50", "metadata" => nil }],
[
{ "fragment" => "48 49 50", "metadata" => nil },
{ "fragment" => "45 46 47", "metadata" => nil },
{ "fragment" => "42 43 44", "metadata" => nil },
],
]
expect(result).to eq(expected)
end
end
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 <martin@discourse.org>
2024-06-27 03:27:40 -04:00
end