mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-12 12:06:04 +00:00
more roudning
This commit is contained in:
Ashwin Bharambe
parent
aeb91f67ac
commit
fe2d916242
25 changed files with 34897 additions and 10 deletions
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@ -4,8 +4,6 @@
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# This source code is licensed under the terms described in the LICENSE file in
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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# the root directory of this source tree.
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from __future__ import annotations
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from collections.abc import Callable
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from collections.abc import Callable
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IdFactory = Callable[[], str]
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IdFactory = Callable[[], str]
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@ -37,8 +35,8 @@ def set_id_override(override: IdOverride) -> IdOverride | None:
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return previous
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return previous
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def reset_id_override(token: IdOverride | None) -> None:
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def reset_id_override(previous: IdOverride | None) -> None:
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"""Restore the previous override returned by :func:`set_id_override`."""
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"""Restore the previous override returned by :func:`set_id_override`."""
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global _id_override
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global _id_override
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_id_override = token
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_id_override = previous
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@ -70,7 +70,7 @@ def _normalize_numeric_literal_strings(value: str) -> str:
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def _replace(match: re.Match[str]) -> str:
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def _replace(match: re.Match[str]) -> str:
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number = float(match.group(0))
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number = float(match.group(0))
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return f"{number:.6f}"
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return f"{number:.5f}"
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return _FLOAT_IN_STRING_PATTERN.sub(_replace, value)
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return _FLOAT_IN_STRING_PATTERN.sub(_replace, value)
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@ -85,7 +85,7 @@ def _normalize_body_for_hash(value: Any) -> Any:
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if isinstance(value, tuple):
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if isinstance(value, tuple):
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return tuple(_normalize_body_for_hash(item) for item in value)
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return tuple(_normalize_body_for_hash(item) for item in value)
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if isinstance(value, float):
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if isinstance(value, float):
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return round(value, 6)
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return round(value, 5)
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if isinstance(value, str):
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if isinstance(value, str):
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return _normalize_numeric_literal_strings(value)
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return _normalize_numeric_literal_strings(value)
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return value
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return value
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@ -849,7 +849,7 @@ def api_recording(mode: str, storage_dir: str | Path | None = None) -> Generator
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# Store previous state
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# Store previous state
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prev_mode = _current_mode
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prev_mode = _current_mode
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prev_storage = _current_storage
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prev_storage = _current_storage
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override_token = None
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previous_override = None
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try:
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try:
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_current_mode = mode
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_current_mode = mode
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@ -860,7 +860,7 @@ def api_recording(mode: str, storage_dir: str | Path | None = None) -> Generator
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_current_storage = ResponseStorage(Path(storage_dir))
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_current_storage = ResponseStorage(Path(storage_dir))
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_id_counters.clear()
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_id_counters.clear()
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patch_inference_clients()
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patch_inference_clients()
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override_token = set_id_override(_deterministic_id_override)
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previous_override = set_id_override(_deterministic_id_override)
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yield
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yield
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@ -868,8 +868,7 @@ def api_recording(mode: str, storage_dir: str | Path | None = None) -> Generator
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# Restore previous state
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# Restore previous state
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if mode in ["record", "replay", "record-if-missing"]:
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if mode in ["record", "replay", "record-if-missing"]:
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unpatch_inference_clients()
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unpatch_inference_clients()
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if override_token is not None:
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reset_id_override(previous_override)
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reset_id_override(override_token)
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_current_mode = prev_mode
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_current_mode = prev_mode
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_current_storage = prev_storage
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_current_storage = prev_storage
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@ -0,0 +1,736 @@
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{
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"test_id": "tests/integration/responses/test_tool_responses.py::test_response_non_streaming_file_search[openai_client-txt=openai/gpt-4o:emb=openai/text-embedding-3-small:dim=1536-llama_experts_pdf]",
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"request": {
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"method": "POST",
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"url": "https://api.openai.com/v1/v1/chat/completions",
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"headers": {},
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"body": {
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"model": "gpt-4o",
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"messages": [
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{
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"role": "user",
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"content": "How many experts does the Llama 4 Maverick model have?"
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},
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{
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"role": "assistant",
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"content": "",
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"tool_calls": [
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{
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"index": 0,
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"id": "call_zKJ7WgvCO3tx6yB0We1qI0d8",
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"type": "function",
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"function": {
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"name": "knowledge_search",
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"arguments": "{\"query\":\"Llama 4 Maverick model number of experts\"}"
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}
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}
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]
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},
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{
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"role": "tool",
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"tool_call_id": "call_zKJ7WgvCO3tx6yB0We1qI0d8",
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"content": [
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{
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"type": "text",
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"text": "knowledge_search tool found 2 chunks:\nBEGIN of knowledge_search tool results.\n"
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},
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{
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"type": "text",
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"text": "[1] document_id: file-728796232029, score: 1.4945131220963286, attributes: {'filename': 'llama_stack_and_models.pdf', 'document_id': 'file-728796232029', 'token_count': 98.0, 'metadata_token_count': 11.0} (cite as <|file-728796232029|>)\n, \nhardware\n \nvendors,\n \nand\n \nAI-focused\n \ncompanies)\n \nthat\n \noffer\n \ntailored\n \ninfrastructure,\n \nsoftware,\n \nand\n \nservices\n \nfor\n \ndeploying\n \nLlama\n \nmodels.\n \nLlama 4 Maverick \n Llama 4 Maverick is a Mixture-of-Experts (MoE) model with 17 billion active parameters and 128 experts. \n"
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},
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{
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"type": "text",
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"text": "[2] document_id: file-728796232029, score: 1.1415676746925796, attributes: {'filename': 'llama_stack_and_models.pdf', 'document_id': 'file-728796232029', 'token_count': 498.0, 'metadata_token_count': 11.0} (cite as <|file-728796232029|>)\nLlama Stack \nLlama Stack Overview \nLlama Stack standardizes the core building blocks that simplify AI application development. It codifies best \npractices\n \nacross\n \nthe\n \nLlama\n \necosystem.\n \nMore\n \nspecifically,\n \nit\n \nprovides\n \u25cf Unified API layer for Inference, RAG, Agents, Tools, Safety, Evals, and Telemetry. \u25cf Plugin architecture to support the rich ecosystem of different API implementations in various \nenvironments,\n \nincluding\n \nlocal\n \ndevelopment,\n \non-premises,\n \ncloud,\n \nand\n \nmobile.\n \u25cf Prepackaged verified distributions which offer a one-stop solution for developers to get started quickly \nand\n \nreliably\n \nin\n \nany\n \nenvironment.\n \u25cf Multiple developer interfaces like CLI and SDKs for Python, Typescript, iOS, and Android. \u25cf Standalone applications as examples for how to build production-grade AI applications with Llama \nStack.\n \nLlama Stack Benefits \n\u25cf Flexible Options: Developers can choose their preferred infrastructure without changing APIs and enjoy \nflexible\n \ndeployment\n \nchoices.\n \u25cf Consistent Experience: With its unified APIs, Llama Stack makes it easier to build, test, and deploy AI \napplications\n \nwith\n \nconsistent\n \napplication\n \nbehavior.\n \u25cf Robust Ecosystem: Llama Stack is already integrated with distribution partners (cloud providers, \nhardware\n \nvendors,\n \nand\n \nAI-focused\n \ncompanies)\n \nthat\n \noffer\n \ntailored\n \ninfrastructure,\n \nsoftware,\n \nand\n \nservices\n \nfor\n \ndeploying\n \nLlama\n \nmodels.\n \nLlama 4 Maverick \n Llama 4 Maverick is a Mixture-of-Experts (MoE) model with 17 billion active parameters and 128 experts. \n"
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},
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{
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"type": "text",
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"text": "END of knowledge_search tool results.\n"
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},
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{
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"type": "text",
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"text": "The above results were retrieved to help answer the user's query: \"Llama 4 Maverick model number of experts\". Use them as supporting information only in answering this query. Cite sources immediately at the end of sentences before punctuation, using `<|file-id|>` format (e.g., 'This is a fact <|file-Cn3MSNn72ENTiiq11Qda4A|>.'). Do not add extra punctuation. Use only the file IDs provided (do not invent new ones).\n"
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}
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|
]
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}
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],
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"stream": true,
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"tools": [
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{
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||||||
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"type": "function",
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"function": {
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"name": "knowledge_search",
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"description": "Search for information in a database.",
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"parameters": {
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||||||
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"type": "object",
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"properties": {
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||||||
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"query": {
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"type": "string",
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"description": "The query to search for. Can be a natural language sentence or keywords."
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}
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},
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"required": [
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"query"
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]
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}
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}
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}
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]
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},
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"endpoint": "/v1/chat/completions",
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"model": "gpt-4o"
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},
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"response": {
|
||||||
|
"body": [
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||||||
|
{
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||||||
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
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"__data__": {
|
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"id": "rec-112ca0696d92",
|
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"choices": [
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|
{
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"delta": {
|
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"content": "",
|
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|
"function_call": null,
|
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|
"refusal": null,
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"role": "assistant",
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"tool_calls": null
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},
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||||||
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"finish_reason": null,
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||||||
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"index": 0,
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"logprobs": null
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||||||
|
}
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||||||
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],
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|
"created": 0,
|
||||||
|
"model": "gpt-4o-2024-08-06",
|
||||||
|
"object": "chat.completion.chunk",
|
||||||
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"service_tier": "default",
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||||||
|
"system_fingerprint": "fp_f64f290af2",
|
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"usage": null,
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|
"obfuscation": "ENuvzpFysz8"
|
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|
}
|
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|
},
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{
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|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
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"__data__": {
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"id": "rec-112ca0696d92",
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"choices": [
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{
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"delta": {
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"content": "The",
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"function_call": null,
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"refusal": null,
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"role": null,
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},
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"finish_reason": null,
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"index": 0,
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"logprobs": null
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}
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],
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"created": 0,
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"model": "gpt-4o-2024-08-06",
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"object": "chat.completion.chunk",
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"service_tier": "default",
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"system_fingerprint": "fp_f64f290af2",
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"usage": null,
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"obfuscation": "2HbZRVUFFg"
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}
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},
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{
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"id": "rec-112ca0696d92",
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"choices": [
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},
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"finish_reason": null,
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"index": 0,
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}
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],
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"created": 0,
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"model": "gpt-4o-2024-08-06",
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"object": "chat.completion.chunk",
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"service_tier": "default",
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"system_fingerprint": "fp_f64f290af2",
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"obfuscation": "BNEGZJgh3Tl"
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"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
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"__data__": {
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"id": "rec-112ca0696d92",
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"choices": [
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{
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"delta": {
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"content": "lama",
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"function_call": null,
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}
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],
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"created": 0,
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"model": "gpt-4o-2024-08-06",
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"object": "chat.completion.chunk",
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"service_tier": "default",
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|
"system_fingerprint": "fp_f64f290af2",
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|
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"choices": [
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{
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"delta": {
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"content": " Maver",
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"function_call": null,
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||||||
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},
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||||||
|
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}
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||||||
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],
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"created": 0,
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"model": "gpt-4o-2024-08-06",
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"object": "chat.completion.chunk",
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"service_tier": "default",
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||||||
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"system_fingerprint": "fp_f64f290af2",
|
||||||
|
"usage": null,
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||||||
|
"obfuscation": "dd99Gz7"
|
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|
}
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|
},
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|
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File diff suppressed because it is too large
Load diff
File diff suppressed because it is too large
Load diff
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@ -0,0 +1,894 @@
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"test_id": "tests/integration/responses/test_tool_responses.py::test_response_sequential_file_search[openai_client-txt=openai/gpt-4o:emb=openai/text-embedding-3-small:dim=1536]",
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"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "EjwiVyD6AcSo"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"choices": [
|
||||||
|
{
|
||||||
|
"delta": {
|
||||||
|
"content": "file",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "Sl5qNkkzo"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "XbRtYrt4JUNh"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"choices": [
|
||||||
|
{
|
||||||
|
"delta": {
|
||||||
|
"content": "521",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "TCa8o9ezFG"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"choices": [
|
||||||
|
{
|
||||||
|
"delta": {
|
||||||
|
"content": "798",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "dnVcidd6hs"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"choices": [
|
||||||
|
{
|
||||||
|
"delta": {
|
||||||
|
"content": "228",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "NvsIIsamsU"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"choices": [
|
||||||
|
{
|
||||||
|
"delta": {
|
||||||
|
"content": "0",
|
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|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "JIMki7QUi0cn"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "p0eMhSbLRJuX"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "YHov7bEdRG2"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"__type__": "openai.types.chat.chat_completion_chunk.ChatCompletionChunk",
|
||||||
|
"__data__": {
|
||||||
|
"id": "rec-fb36a435632d",
|
||||||
|
"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_f64f290af2",
|
||||||
|
"usage": null,
|
||||||
|
"obfuscation": "O6b3e1y"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"is_streaming": true
|
||||||
|
},
|
||||||
|
"id_normalization_mapping": {}
|
||||||
|
}
|
||||||
File diff suppressed because it is too large
Load diff
|
|
@ -147,6 +147,28 @@ class TestInferenceRecording:
|
||||||
)
|
)
|
||||||
assert hash5 == hash6
|
assert hash5 == hash6
|
||||||
|
|
||||||
|
body_with_close_scores = {
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"role": "tool",
|
||||||
|
"content": "score: 0.662477492560699",
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
body_with_close_scores_variation = {
|
||||||
|
"messages": [
|
||||||
|
{
|
||||||
|
"role": "tool",
|
||||||
|
"content": "score: 0.6624775971970099",
|
||||||
|
}
|
||||||
|
]
|
||||||
|
}
|
||||||
|
hash7 = normalize_inference_request("POST", "http://test/v1/chat/completions", {}, body_with_close_scores)
|
||||||
|
hash8 = normalize_inference_request(
|
||||||
|
"POST", "http://test/v1/chat/completions", {}, body_with_close_scores_variation
|
||||||
|
)
|
||||||
|
assert hash7 == hash8
|
||||||
|
|
||||||
def test_response_storage(self, temp_storage_dir):
|
def test_response_storage(self, temp_storage_dir):
|
||||||
"""Test the ResponseStorage class."""
|
"""Test the ResponseStorage class."""
|
||||||
temp_storage_dir = temp_storage_dir / "test_response_storage"
|
temp_storage_dir = temp_storage_dir / "test_response_storage"
|
||||||
|
|
|
||||||
Loading…
Add table
Add a link
Reference in a new issue