Files
sure/test/models/provider/anthropic_test.rb
Guillem Arias 714cf0bbb4 fix(ai): address PR review on Anthropic provider foundation
Surface fixes raised by Codex + CodeRabbit on PR 1/5:

- Provider::Anthropic#chat_response now accepts (and ignores) a
  `messages:` kwarg. Assistant::Responder passes both `messages:`
  (OpenAI-shape) and `conversation_history:` (raw Message records) for
  cross-provider parity, so the previous signature raised
  ArgumentError on the first chat turn through the Anthropic provider.
- Provider::Anthropic#supports_model? bypasses the `claude` prefix
  gate when a custom base_url is configured, mirroring the OpenAI
  provider. Bedrock-shaped IDs like
  `anthropic.claude-sonnet-4-5-20250929-v1:0` and
  `claude-opus-4@20250514` are otherwise rejected by
  Assistant::Provided#get_model_provider and the chat dies.
- Setting.anthropic_access_token is now in
  EncryptedSettingFields::ENCRYPTED_FIELDS so the Anthropic API key
  is encrypted at rest like every other provider secret. Previously
  plaintext while siblings (openai_access_token, twelve_data_api_key,
  external_assistant_token) were ciphertext.
- Chat.default_model falls back to whichever provider is actually
  configured. Previously, with LLM_PROVIDER=anthropic but no
  Anthropic credentials, the default model resolved to a Claude ID
  that no registered provider supported, so chats failed even when
  OpenAI was fully configured. Adds Provider::{Anthropic,Openai}#configured?
  class methods for the readable callsite.
- Provider::Anthropic.effective_model uses
  `ENV["ANTHROPIC_MODEL"].presence || Setting.anthropic_model` so the
  Setting lookup is only performed when the env var is absent — the
  previous `ENV.fetch(KEY, default)` evaluated the default arg
  eagerly on every call.
- Provider::Anthropic::ChatConfig#anthropic_input_schema strips both
  `:strict` and `"strict"` keys so JSON-decoded schemas with string
  keys cannot leak the OpenAI-only flag through to Anthropic.

Test coverage added: supports_model? bypass on custom endpoints,
chat_response messages: kwarg compatibility, default_model fallback
in the three credential combinations, configured? against ENV +
Setting, strict-flag stripping for both key types, and a
`Setting.expects(:anthropic_model).never` assertion proving the
ENV-precedence test now exercises the lazy path.

All 4365 tests pass (1 pre-existing libvips env error unrelated).
2026-05-25 19:49:25 +02:00

201 lines
7.0 KiB
Ruby

require "test_helper"
class Provider::AnthropicTest < ActiveSupport::TestCase
include LLMInterfaceTest
setup do
@subject = @anthropic = Provider::Anthropic.new(
ENV.fetch("ANTHROPIC_API_KEY", "test-anthropic-token")
)
@subject_model = "claude-sonnet-4-6"
end
test "provider_name returns Anthropic for standard provider" do
assert_equal "Anthropic", @subject.provider_name
end
test "provider_name returns custom info for custom base_url" do
custom = Provider::Anthropic.new(
"test-token",
base_url: "https://bedrock.example.com/anthropic",
model: "claude-opus-4-7"
)
assert_equal "Custom Anthropic-compatible (https://bedrock.example.com/anthropic)", custom.provider_name
end
test "supports_model? returns true for claude prefix" do
assert @subject.supports_model?("claude-sonnet-4-6")
assert @subject.supports_model?("claude-opus-4-7")
assert @subject.supports_model?("claude-haiku-4-5")
assert_not @subject.supports_model?("gpt-4.1")
end
test "supports_model? bypasses the prefix gate for custom endpoints" do
custom = Provider::Anthropic.new(
"test-token",
base_url: "https://bedrock.example.com/anthropic",
model: "anthropic.claude-sonnet-4-5-20250929-v1:0"
)
# Bedrock-shaped IDs start with "anthropic", not "claude" — would fail the
# default prefix check, but custom endpoints must accept any model.
assert custom.supports_model?("anthropic.claude-sonnet-4-5-20250929-v1:0")
assert custom.supports_model?("claude-opus-4@20250514")
assert custom.supports_model?("any-string-the-endpoint-accepts")
end
test "supported_models_description returns prefixes for standard provider" do
assert_equal "models starting with: claude", @subject.supported_models_description
end
test "supports_pdf_processing? true for claude models" do
assert @subject.supports_pdf_processing?(model: "claude-sonnet-4-6")
assert_not @subject.supports_pdf_processing?(model: "gpt-4o")
end
test "effective_model defers to ENV when set without consulting Setting" do
ClimateControl.modify("ANTHROPIC_MODEL" => "claude-haiku-4-5") do
Setting.expects(:anthropic_model).never
assert_equal "claude-haiku-4-5", Provider::Anthropic.effective_model
end
end
test "configured? reflects ENV and Setting presence" do
ClimateControl.modify("ANTHROPIC_ACCESS_TOKEN" => nil, "ANTHROPIC_API_KEY" => nil) do
Setting.stubs(:anthropic_access_token).returns(nil)
assert_not Provider::Anthropic.configured?
Setting.stubs(:anthropic_access_token).returns("sk-ant-x")
assert Provider::Anthropic.configured?
end
ClimateControl.modify("ANTHROPIC_API_KEY" => "sk-ant-y") do
Setting.stubs(:anthropic_access_token).returns(nil)
assert Provider::Anthropic.configured?
end
end
test "effective_model falls back to default when nothing set" do
ClimateControl.modify("ANTHROPIC_MODEL" => nil) do
Setting.stubs(:anthropic_model).returns(nil)
assert_equal Provider::Anthropic::DEFAULT_MODEL, Provider::Anthropic.effective_model
end
end
test "chat_response wraps Anthropic SDK errors in Provider::Anthropic::Error" do
fake_client = mock
@subject.instance_variable_set(:@client, fake_client)
messages = mock
fake_client.stubs(:messages).returns(messages)
messages.expects(:create).raises(StandardError.new("rate limit exceeded"))
response = @subject.chat_response("hi", model: @subject_model)
assert_not response.success?
assert_kind_of Provider::Anthropic::Error, response.error
assert_match(/rate limit/i, response.error.message)
end
test "chat_response accepts messages: kwarg passed by Responder without raising" do
# The OpenAI-shaped `messages:` array is passed alongside `conversation_history:`
# for cross-provider parity. Anthropic ignores it but must still accept it as
# a keyword argument — historical regression that broke the first chat turn.
fake_client = stub_anthropic_client_with(
build_anthropic_message(
id: "msg_kw",
model: @subject_model,
text_blocks: [ "ok" ],
tool_use_blocks: [],
usage: { input_tokens: 1, output_tokens: 1 }
)
)
@subject.instance_variable_set(:@client, fake_client)
response = @subject.chat_response(
"hi",
model: @subject_model,
messages: [ { role: "user", content: "hi" } ],
conversation_history: []
)
assert response.success?
end
test "chat_response returns parsed ChatResponse on success" do
fake_client = stub_anthropic_client_with(
build_anthropic_message(
id: "msg_abc",
model: @subject_model,
text_blocks: [ "Hello there." ],
tool_use_blocks: [],
usage: { input_tokens: 12, output_tokens: 5 }
)
)
@subject.instance_variable_set(:@client, fake_client)
response = @subject.chat_response("hi", model: @subject_model)
assert response.success?
assert_equal "msg_abc", response.data.id
assert_equal @subject_model, response.data.model
assert_equal 1, response.data.messages.size
assert_equal "Hello there.", response.data.messages.first.output_text
assert_empty response.data.function_requests
end
test "chat_response surfaces tool_use blocks as function_requests" do
fake_client = stub_anthropic_client_with(
build_anthropic_message(
id: "msg_xyz",
model: @subject_model,
text_blocks: [],
tool_use_blocks: [ { id: "toolu_1", name: "get_net_worth", input: { currency: "USD" } } ],
usage: { input_tokens: 20, output_tokens: 8 }
)
)
@subject.instance_variable_set(:@client, fake_client)
response = @subject.chat_response(
"What is my net worth?",
model: @subject_model,
functions: [ {
name: "get_net_worth",
description: "Gets a user's net worth",
params_schema: { type: "object", properties: {}, required: [], additionalProperties: false },
strict: true
} ]
)
assert response.success?
assert_equal 1, response.data.function_requests.size
req = response.data.function_requests.first
assert_equal "toolu_1", req.call_id
assert_equal "get_net_worth", req.function_name
assert_equal({ currency: "USD" }.to_json, req.function_args)
end
private
def stub_anthropic_client_with(message)
messages = mock
messages.stubs(:create).returns(message)
client = mock
client.stubs(:messages).returns(messages)
client
end
def build_anthropic_message(id:, model:, text_blocks:, tool_use_blocks:, usage:)
OpenStruct.new(
id: id,
model: model,
content: text_blocks.map { |t| OpenStruct.new(type: :text, text: t) } +
tool_use_blocks.map { |t| OpenStruct.new(type: :tool_use, id: t[:id], name: t[:name], input: t[:input]) },
usage: OpenStruct.new(
input_tokens: usage[:input_tokens],
output_tokens: usage[:output_tokens]
)
)
end
end