mirror of
https://github.com/BerriAI/litellm.git
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171 lines
7.7 KiB
Python
171 lines
7.7 KiB
Python
import json
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from pathlib import Path
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from typing import Final
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import pytest
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import yaml
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from integration._support.client import Gateway
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from integration._support.process import owned_proxy
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from integration._support.wire import Reply, Request, wire_server
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BEDROCK_MODEL: Final = "us.anthropic.claude-haiku-4-5-20251001-v1:0"
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INVOKE_TARGET: Final = f"/model/{BEDROCK_MODEL}/invoke"
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SEARCH_TARGET: Final = "/tavily/search"
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SEARCH_RESULT: Final = {
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"title": "Synthetic result",
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"url": "https://example.test/result",
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"content": "the snippet text",
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}
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def sse_events(text: str) -> tuple[tuple[str, dict[str, object]], ...]:
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frames: Final = tuple(frame for frame in text.split("\n\n") if frame.strip())
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return tuple(
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(
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next(line.removeprefix("event: ") for line in frame.splitlines() if line.startswith("event: ")),
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json.loads(next(line.removeprefix("data: ") for line in frame.splitlines() if line.startswith("data: "))),
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)
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for frame in frames
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)
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@pytest.mark.covers("other.provider_wire.bedrock.websearch_interception_streamed_capped_turn_ends_with_native_results")
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def test_streamed_web_search_turn_capped_by_max_agentic_loops_ends_turn_with_snippets_and_ordered_blocks(
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gateway: Gateway, tmp_path: Path
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) -> None:
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def respond(request: Request) -> Reply:
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assert request.method == "POST", request.target
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body: Final = json.loads(request.body)
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if request.target == SEARCH_TARGET:
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assert request.headers["authorization"] == "Bearer synthetic-tavily-key"
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assert body["query"] == "query-0", body
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return Reply(body=json.dumps({"query": "query-0", "results": [SEARCH_RESULT]}).encode())
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assert request.target == INVOKE_TARGET
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assert request.headers["authorization"] == "Bearer synthetic-bedrock-token"
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assert [tool["name"] for tool in body["tools"]] == ["litellm_web_search"], body["tools"]
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assert "stream" not in body, body
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depth: Final = sum(
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1
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for message in body["messages"]
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if isinstance(message["content"], list)
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for block in message["content"]
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if block["type"] == "tool_result"
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)
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if depth == 1:
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assert body["messages"][2]["content"] == [
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{
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"type": "tool_result",
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"tool_use_id": "toolu_0",
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"content": "Title: Synthetic result\nURL: https://example.test/result\nSnippet: the snippet text",
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}
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], body["messages"]
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return Reply(
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body=json.dumps(
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{
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"id": f"msg_{depth}",
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"type": "message",
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"role": "assistant",
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"model": BEDROCK_MODEL,
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"content": [
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{"type": "text", "text": f"turn-{depth}"},
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{
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"type": "tool_use",
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"id": f"toolu_{depth}",
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"name": "litellm_web_search",
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"input": {"query": f"query-{depth}"},
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},
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],
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"stop_reason": "tool_use",
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"stop_sequence": None,
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"usage": {"input_tokens": 10, "output_tokens": 4},
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}
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).encode()
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)
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with wire_server(respond) as wire:
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config: Final = yaml.safe_load(Path("tests/integration/proxy_config.yaml").read_text())
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config["search_tools"] = [
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{
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"search_tool_name": "integration-search",
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"litellm_params": {
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"search_provider": "tavily",
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"api_key": "synthetic-tavily-key",
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"api_base": wire.url + "/tavily",
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},
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}
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]
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config["litellm_settings"].update(
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{
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"callbacks": ["websearch_interception"],
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"websearch_interception_params": {
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"enabled_providers": ["bedrock"],
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"search_tool_name": "integration-search",
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"max_agentic_loops": 1,
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},
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}
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)
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path: Final = tmp_path / "websearch.yaml"
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path.write_text(yaml.safe_dump(config))
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with owned_proxy(gateway, tmp_path, {}, config=path) as candidate, candidate.scenario() as scenario:
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model: Final = scenario.model(
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model=f"bedrock/{BEDROCK_MODEL}",
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api_key="synthetic-bedrock-token",
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api_base=wire.url,
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aws_region_name="us-east-1",
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aws_bedrock_runtime_endpoint=wire.url,
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)
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response: Final = candidate.request(
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"POST",
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"/v1/messages",
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{
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"model": model,
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"max_tokens": 64,
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"stream": True,
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"messages": [{"role": "user", "content": "search control"}],
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"tools": [{"type": "web_search_20250305", "name": "web_search"}],
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},
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)
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assert response.status_code == 200, response.text
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events: Final = sse_events(response.text)
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assert [name for name, _ in events][:1] == ["message_start"], response.text
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assert [name for name, _ in events][-2:] == ["message_delta", "message_stop"], response.text
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for position, (name, event) in enumerate(events):
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if name == "content_block_stop":
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assert event["index"] in {
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earlier_event["index"]
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for earlier, earlier_event in events[:position]
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if earlier == "content_block_start"
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}, response.text
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started: Final = tuple(event["content_block"] for name, event in events if name == "content_block_start")
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search_ids: Final = tuple(block["id"] for block in started if block["type"] == "server_tool_use")
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assert search_ids and all(search_id.startswith("srvtoolu_") for search_id in search_ids), response.text
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assert started[-1] == {"type": "text", "text": ""}, response.text
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assert set(json.dumps(block, sort_keys=True) for block in started[:-1]) == {
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json.dumps(block, sort_keys=True)
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for search_id in search_ids
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for block in (
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{"type": "server_tool_use", "id": search_id, "name": "web_search", "input": {"query": "query-0"}},
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{
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"type": "web_search_tool_result",
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"tool_use_id": search_id,
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"content": [
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{
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"type": "web_search_result",
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"url": "https://example.test/result",
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"title": "Synthetic result",
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"page_age": None,
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"encrypted_content": "",
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"snippet": "the snippet text",
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}
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],
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},
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)
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}, response.text
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assert (
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"".join(event["delta"]["text"] for name, event in events if name == "content_block_delta") == "turn-1"
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), response.text
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assert [event["delta"]["stop_reason"] for name, event in events if name == "message_delta"] == [
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"end_turn"
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], response.text
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assert "litellm_web_search" not in response.text, response.text
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assert [request.target for request in wire.drain()] == [INVOKE_TARGET, SEARCH_TARGET, INVOKE_TARGET]
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