phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-10-25 09:05:37 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
llama-stack-mirror/tests/integration/responses/recordings/a3570859ba5d7ed3933303d95564f189d73428e24ca646aa56d0030a5269cc52.json
Francisco Arceo e7d21e1ee3
feat: Add support for Conversations in Responses API (#3743) 
# What does this PR do?
This PR adds support for Conversations in Responses.

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

## Test Plan
Unit tests
Integration tests

<Details>
<Summary>Manual testing with this script: (click to expand)</Summary>

```python
from openai import OpenAI

client = OpenAI()
client = OpenAI(base_url="http://localhost:8321/v1/", api_key="none")

def test_conversation_create():
    print("Testing conversation create...")
    conversation = client.conversations.create(
        metadata={"topic": "demo"},
        items=[
            {"type": "message", "role": "user", "content": "Hello!"}
        ]
    )
    print(f"Created: {conversation}")
    return conversation

def test_conversation_retrieve(conv_id):
    print(f"Testing conversation retrieve for {conv_id}...")
    retrieved = client.conversations.retrieve(conv_id)
    print(f"Retrieved: {retrieved}")
    return retrieved

def test_conversation_update(conv_id):
    print(f"Testing conversation update for {conv_id}...")
    updated = client.conversations.update(
        conv_id,
        metadata={"topic": "project-x"}
    )
    print(f"Updated: {updated}")
    return updated

def test_conversation_delete(conv_id):
    print(f"Testing conversation delete for {conv_id}...")
    deleted = client.conversations.delete(conv_id)
    print(f"Deleted: {deleted}")
    return deleted

def test_conversation_items_create(conv_id):
    print(f"Testing conversation items create for {conv_id}...")
    items = client.conversations.items.create(
        conv_id,
        items=[
            {
                "type": "message",
                "role": "user",
                "content": [{"type": "input_text", "text": "Hello!"}]
            },
            {
                "type": "message",
                "role": "user",
                "content": [{"type": "input_text", "text": "How are you?"}]
            }
        ]
    )
    print(f"Items created: {items}")
    return items

def test_conversation_items_list(conv_id):
    print(f"Testing conversation items list for {conv_id}...")
    items = client.conversations.items.list(conv_id, limit=10)
    print(f"Items list: {items}")
    return items

def test_conversation_item_retrieve(conv_id, item_id):
    print(f"Testing conversation item retrieve for {conv_id}/{item_id}...")
    item = client.conversations.items.retrieve(conversation_id=conv_id, item_id=item_id)
    print(f"Item retrieved: {item}")
    return item

def test_conversation_item_delete(conv_id, item_id):
    print(f"Testing conversation item delete for {conv_id}/{item_id}...")
    deleted = client.conversations.items.delete(conversation_id=conv_id, item_id=item_id)
    print(f"Item deleted: {deleted}")
    return deleted

def test_conversation_responses_create():
    print("\nTesting conversation create for a responses example...")
    conversation = client.conversations.create()
    print(f"Created: {conversation}")

    response = client.responses.create(
      model="gpt-4.1",
      input=[{"role": "user", "content": "What are the 5 Ds of dodgeball?"}],
      conversation=conversation.id,
    )
    print(f"Created response: {response} for conversation {conversation.id}")

    return response, conversation

def test_conversations_responses_create_followup(
        conversation,
        content="Repeat what you just said but add 'this is my second time saying this'",
    ):
    print(f"Using: {conversation.id}")

    response = client.responses.create(
      model="gpt-4.1",
      input=[{"role": "user", "content": content}],
      conversation=conversation.id,
    )
    print(f"Created response: {response} for conversation {conversation.id}")

    conv_items = client.conversations.items.list(conversation.id)
    print(f"\nRetrieving list of items for conversation {conversation.id}:")
    print(conv_items.model_dump_json(indent=2))

def test_response_with_fake_conv_id():
    fake_conv_id = "conv_zzzzzzzzz5dc81908289d62779d2ac510a2b0b602ef00a44"
    print(f"Using {fake_conv_id}")
    try:
        response = client.responses.create(
          model="gpt-4.1",
          input=[{"role": "user", "content": "say hello"}],
          conversation=fake_conv_id,
        )
        print(f"Created response: {response} for conversation {fake_conv_id}")
    except Exception as e:
        print(f"failed to create response for conversation {fake_conv_id} with error {e}")


def main():
    print("Testing OpenAI Conversations API...")

    # Create conversation
    conversation = test_conversation_create()
    conv_id = conversation.id

    # Retrieve conversation
    test_conversation_retrieve(conv_id)

    # Update conversation
    test_conversation_update(conv_id)

    # Create items
    items = test_conversation_items_create(conv_id)

    # List items
    items_list = test_conversation_items_list(conv_id)

    # Retrieve specific item
    if items_list.data:
        item_id = items_list.data[0].id
        test_conversation_item_retrieve(conv_id, item_id)

        # Delete item
        test_conversation_item_delete(conv_id, item_id)

    # Delete conversation
    test_conversation_delete(conv_id)

    response, conversation2 = test_conversation_responses_create()
    print('\ntesting reseponse retrieval')
    test_conversation_retrieve(conversation2.id)

    print('\ntesting responses follow up')
    test_conversations_responses_create_followup(conversation2)

    print('\ntesting responses follow up x2!')

    test_conversations_responses_create_followup(
        conversation2,
        content="Repeat what you just said but add 'this is my third time saying this'",
    )

    test_response_with_fake_conv_id()

    print("All tests completed!")


if __name__ == "__main__":
    main()
```
</Details>

---------

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
2025-10-10 11:57:40 -07:00

323 lines
9.2 KiB
JSON
Generated
Raw Blame History

{
"test_id": "tests/integration/responses/test_conversation_responses.py::TestConversationResponses::test_conversation_error_handling[txt=openai/gpt-4o]",
"request": {
"method": "POST",
"url": "https://api.openai.com/v1/v1/chat/completions",
"headers": {},
"body": {
"model": "gpt-4o",
"messages": [
{
"role": "user",
"content": "First response"
}
],
"stream": true
},
"endpoint": "/v1/chat/completions",
"model": "gpt-4o"
},
"response": {
"body": [
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": "",
"function_call": null,
"refusal": null,
"role": "assistant",
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "R5Xx7TAQA1Z"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": "Hello",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "FnGcOTHd"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": "!",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "jxK7b2HxkZk7"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": " How",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "1Ge9iOM89"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": " can",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "YnG2hQdK5"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": " I",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "M6XDB3s0lRi"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": " assist",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "aNjFaO"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": " you",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "R9MUT2Wb1"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": " today",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "0OjhrLF"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": "?",
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": null,
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "1Fz6wJpIVonI"
}
},
{
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
"__data__": {
"id": "rec-a3570859ba5d",
"choices": [
{
"delta": {
"content": null,
"function_call": null,
"refusal": null,
"role": null,
"tool_calls": null
},
"finish_reason": "stop",
"index": 0,
"logprobs": null
}
],
"created": 0,
"model": "gpt-4o-2024-08-06",
"object": "chat.completion.chunk",
"service_tier": "default",
"system_fingerprint": "fp_cbf1785567",
"usage": null,
"obfuscation": "Skl7CuX"
}
}
],
"is_streaming": true
},
"id_normalization_mapping": {}
}
Reference in a new issue View git blame Copy permalink