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Merge 33d27393f4 into sapling-pr-archive-ehhuang
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ehhuang
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commit
460097bd7b
37 changed files with 10737 additions and 1079 deletions
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"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-dd48d347f0ab",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " two",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-dd48d347f0ab",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": " parameters",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-dd48d347f0ab",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "\"}",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": null,
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-dd48d347f0ab",
|
||||
"choices": [
|
||||
{
|
||||
"delta": {
|
||||
"content": "",
|
||||
"function_call": null,
|
||||
"refusal": null,
|
||||
"role": "assistant",
|
||||
"tool_calls": null
|
||||
},
|
||||
"finish_reason": "stop",
|
||||
"index": 0,
|
||||
"logprobs": null
|
||||
}
|
||||
],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": null
|
||||
}
|
||||
},
|
||||
{
|
||||
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||
"__data__": {
|
||||
"id": "rec-dd48d347f0ab",
|
||||
"choices": [],
|
||||
"created": 0,
|
||||
"model": "llama3.2:3b-instruct-fp16",
|
||||
"object": "chat.completion.chunk",
|
||||
"service_tier": null,
|
||||
"system_fingerprint": "fp_ollama",
|
||||
"usage": {
|
||||
"completion_tokens": 31,
|
||||
"prompt_tokens": 106,
|
||||
"total_tokens": 137,
|
||||
"completion_tokens_details": null,
|
||||
"prompt_tokens_details": null
|
||||
}
|
||||
}
|
||||
}
|
||||
],
|
||||
"is_streaming": true
|
||||
},
|
||||
"id_normalization_mapping": {}
|
||||
}
|
||||
|
|
@ -11,7 +11,6 @@ from llama_stack_client.lib.agents.agent import Agent
|
|||
from llama_stack_client.lib.agents.turn_events import StepCompleted, StepProgress, ToolCallIssuedDelta
|
||||
|
||||
from llama_stack import LlamaStackAsLibraryClient
|
||||
from llama_stack.core.datatypes import AuthenticationRequiredError
|
||||
|
||||
AUTH_TOKEN = "test-token"
|
||||
|
||||
|
|
@ -82,9 +81,11 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server):
|
|||
"server_label": test_toolgroup_id,
|
||||
"require_approval": "never",
|
||||
"allowed_tools": [tool.name for tool in tools_list],
|
||||
"headers": {
|
||||
"Authorization": f"Bearer {AUTH_TOKEN}",
|
||||
},
|
||||
}
|
||||
]
|
||||
|
||||
agent = Agent(
|
||||
client=llama_stack_client,
|
||||
model=text_model_id,
|
||||
|
|
@ -111,47 +112,22 @@ def test_mcp_invocation(llama_stack_client, text_model_id, mcp_server):
|
|||
extra_headers=auth_headers,
|
||||
)
|
||||
)
|
||||
|
||||
events = [chunk.event for chunk in chunks]
|
||||
|
||||
final_response = next((chunk.response for chunk in reversed(chunks) if chunk.response), None)
|
||||
assert final_response is not None
|
||||
|
||||
issued_calls = [
|
||||
event for event in events if isinstance(event, StepProgress) and isinstance(event.delta, ToolCallIssuedDelta)
|
||||
]
|
||||
assert issued_calls and issued_calls[0].delta.tool_name == "greet_everyone"
|
||||
assert issued_calls
|
||||
|
||||
assert issued_calls[-1].delta.tool_name == "greet_everyone"
|
||||
|
||||
tool_events = [
|
||||
event for event in events if isinstance(event, StepCompleted) and event.step_type == "tool_execution"
|
||||
]
|
||||
assert tool_events and tool_events[0].result.tool_calls[0].tool_name == "greet_everyone"
|
||||
assert tool_events
|
||||
assert tool_events[-1].result.tool_calls[0].tool_name == "greet_everyone"
|
||||
|
||||
assert "hello" in final_response.output_text.lower()
|
||||
|
||||
# when streaming, we currently don't check auth headers upfront and fail the request
|
||||
# early. but we should at least be generating a 401 later in the process.
|
||||
response_stream = agent.create_turn(
|
||||
session_id=session_id,
|
||||
messages=[
|
||||
{
|
||||
"type": "message",
|
||||
"role": "user",
|
||||
"content": [
|
||||
{
|
||||
"type": "input_text",
|
||||
"text": "What is the boiling point of polyjuice? Use tools to answer.",
|
||||
}
|
||||
],
|
||||
}
|
||||
],
|
||||
stream=True,
|
||||
)
|
||||
if isinstance(llama_stack_client, LlamaStackAsLibraryClient):
|
||||
with pytest.raises(AuthenticationRequiredError):
|
||||
for _ in response_stream:
|
||||
pass
|
||||
else:
|
||||
error_chunks = [chunk for chunk in response_stream if "error" in chunk.model_dump()]
|
||||
assert len(error_chunks) == 1
|
||||
chunk = error_chunks[0].model_dump()
|
||||
assert "Unauthorized" in chunk["error"]["message"]
|
||||
|
|
|
|||
|
|
@ -128,6 +128,37 @@ async def test_insert_chunks_missing_db_raises(vector_io_adapter):
|
|||
await vector_io_adapter.insert_chunks("db_not_exist", [])
|
||||
|
||||
|
||||
async def test_insert_chunks_with_missing_document_id(vector_io_adapter):
|
||||
"""Ensure no KeyError when document_id is missing or in different places."""
|
||||
from llama_stack.apis.vector_io import Chunk, ChunkMetadata
|
||||
|
||||
fake_index = AsyncMock()
|
||||
vector_io_adapter.cache["db1"] = fake_index
|
||||
|
||||
# Various document_id scenarios that shouldn't crash
|
||||
chunks = [
|
||||
Chunk(content="has doc_id in metadata", metadata={"document_id": "doc-1"}),
|
||||
Chunk(content="no doc_id anywhere", metadata={"source": "test"}),
|
||||
Chunk(content="doc_id in chunk_metadata", chunk_metadata=ChunkMetadata(document_id="doc-3")),
|
||||
]
|
||||
|
||||
# Should work without KeyError
|
||||
await vector_io_adapter.insert_chunks("db1", chunks)
|
||||
fake_index.insert_chunks.assert_awaited_once()
|
||||
|
||||
|
||||
async def test_document_id_with_invalid_type_raises_error():
|
||||
"""Ensure TypeError is raised when document_id is not a string."""
|
||||
from llama_stack.apis.vector_io import Chunk
|
||||
|
||||
# Integer document_id should raise TypeError
|
||||
chunk = Chunk(content="test", metadata={"document_id": 12345})
|
||||
with pytest.raises(TypeError) as exc_info:
|
||||
_ = chunk.document_id
|
||||
assert "metadata['document_id'] must be a string" in str(exc_info.value)
|
||||
assert "got int" in str(exc_info.value)
|
||||
|
||||
|
||||
async def test_query_chunks_calls_underlying_index_and_returns(vector_io_adapter):
|
||||
expected = QueryChunksResponse(chunks=[Chunk(content="c1")], scores=[0.1])
|
||||
fake_index = AsyncMock(query_chunks=AsyncMock(return_value=expected))
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue