context.server_seed = None
context.user_api_key = None
context.response_format = None
+ context.temperature = None
context.tasks_result = []
context.concurrent_tasks = []
@async_run_until_complete
async def step_request_completion(context, api_error):
expect_api_error = api_error == 'raised'
+ seeds = await completions_seed(context, num_seeds=1)
completion = await request_completion(context.prompts.pop(),
+ seeds[0] if seeds is not None else seeds,
context.base_url,
debug=context.debug,
n_predict=context.n_predict,
cache_prompt=context.cache_prompt,
id_slot=context.id_slot,
- seed=await completions_seed(context),
expect_api_error=expect_api_error,
- user_api_key=context.user_api_key)
+ user_api_key=context.user_api_key,
+ temperature=context.temperature)
context.tasks_result.append(completion)
if context.debug:
print(f"Completion response: {completion}")
context.tasks_result = []
+@step('all predictions are different')
+@async_run_until_complete
+async def step_predictions_equal(context):
+ n_completions = await gather_tasks_results(context)
+ assert n_completions >= 2, "need at least 2 completions"
+ assert_all_predictions_different(context.tasks_result)
+ context.tasks_result = []
+
+
@step('the completion is truncated')
def step_assert_completion_truncated(context):
step_assert_completion_truncated(context, '')
context.response_format = json.loads(response_format)
+@step('{temperature:f} temperature')
+def step_temperature(context, temperature):
+ context.temperature = temperature
+
+
@step('streaming is {enable_streaming}')
def step_streaming(context, enable_streaming):
context.enable_streaming = enable_streaming == 'enabled'
@step('{seed:d} as seed')
def step_seed(context, seed):
- context.seed = seed
+ if context.seed is None:
+ context.seed = [seed]
+ else:
+ context.seed.append(seed)
@step('a prefix prompt')
if context.debug:
print(f"Submitting OAI compatible completions request...")
expect_api_error = api_error == 'raised'
+ seeds = await completions_seed(context, num_seeds=1),
completion = await oai_chat_completions(context.prompts.pop(),
+ seeds[0] if seeds is not None else seeds,
context.system_prompt,
context.base_url,
'/v1/chat',
response_format=context.response_format
if hasattr(context, 'response_format') else None,
- seed=await completions_seed(context),
-
user_api_key=context.user_api_key
if hasattr(context, 'user_api_key') else None,
context.n_prompts = len(context.prompts)
+@step('{num_prompts:d} prompts {prompt} with seed {seed:d}')
+def step_many_prompts(context, num_prompts, prompt, seed):
+ if context.seed is None:
+ context.seed = []
+ for _ in range(num_prompts):
+ context.seed.append(seed)
+ context.prompts.append(prompt)
+ context.n_prompts = len(context.prompts)
+
+
@step('concurrent completion requests')
@async_run_until_complete()
async def step_concurrent_completion_requests(context):
- await concurrent_requests(context,
- request_completion,
- # prompt is inserted automatically
- context.base_url,
- debug=context.debug,
- prompt_prefix=context.prompt_prefix,
- prompt_suffix=context.prompt_suffix,
- n_predict=context.n_predict if hasattr(context, 'n_predict') else None,
- seed=await completions_seed(context),
- user_api_key=context.user_api_key if hasattr(context,
- 'user_api_key') else None)
+ await concurrent_requests(
+ context,
+ request_completion,
+ # prompt is inserted automatically
+ context.base_url,
+ debug=context.debug,
+ prompt_prefix=context.prompt_prefix,
+ prompt_suffix=context.prompt_suffix,
+ n_predict=context.n_predict if hasattr(context, 'n_predict') else None,
+ user_api_key=context.user_api_key if hasattr(context, 'user_api_key') else None,
+ temperature=context.temperature,
+ )
@step('concurrent OAI completions requests')
if hasattr(context, 'enable_streaming') else None,
response_format=context.response_format
if hasattr(context, 'response_format') else None,
- seed=await completions_seed(context),
user_api_key=context.user_api_key
if hasattr(context, 'user_api_key') else None)
if hasattr(context, 'enable_streaming') else None,
response_format=context.response_format
if hasattr(context, 'response_format') else None,
- seed=context.seed
- if hasattr(context, 'seed') else
- context.server_seed
- if hasattr(context, 'server_seed') else None,
user_api_key=context.user_api_key
if hasattr(context, 'user_api_key') else None)
@async_run_until_complete
async def step_compute_embedding(context):
context.n_prompts = 1
- context.embeddings = await request_embedding(context_text(context), base_url=context.base_url)
+ context.embeddings = await request_embedding(context_text(context), None, base_url=context.base_url)
@step('all embeddings are the same')
@async_run_until_complete
async def step_oai_compute_embeddings(context):
context.n_prompts = 1
- context.embeddings = await request_oai_embeddings(context_text(context),
+ context.embeddings = await request_oai_embeddings(context_text(context), None,
base_url=context.base_url,
user_api_key=context.user_api_key,
model=context.model)
@step('an OAI compatible embeddings computation request for multiple inputs')
@async_run_until_complete
async def step_oai_compute_embeddings_multiple_inputs(context):
- context.embeddings = await request_oai_embeddings(context.prompts,
+ context.embeddings = await request_oai_embeddings(context.prompts, None,
base_url=context.base_url,
user_api_key=context.user_api_key,
model=context.model)
if context.debug:
print(f"starting {context.n_prompts} concurrent completion requests...")
assert context.n_prompts > 0
+ seeds = await completions_seed(context)
for prompt_no in range(context.n_prompts):
- shifted_args = [context.prompts.pop(), *args]
+ shifted_args = [context.prompts.pop(), seeds[prompt_no], *args]
context.concurrent_tasks.append(asyncio.create_task(f_completion(*shifted_args, **kwargs)))
await asyncio.sleep(0.1)
async def request_completion(prompt,
+ seed,
base_url,
debug=False,
prompt_prefix=None,
n_predict=None,
cache_prompt=False,
id_slot=None,
- seed=None,
expect_api_error=None,
- user_api_key=None):
+ user_api_key=None,
+ temperature=None):
if debug:
print(f"Sending completion request: {prompt}")
origin = "my.super.domain"
"n_predict": n_predict if n_predict is not None else -1,
"cache_prompt": cache_prompt,
"id_slot": id_slot,
- "seed": seed if seed is not None else 42
+ "seed": seed if seed is not None else 42,
+ "temperature": temperature if temperature is not None else "0.8f",
},
headers=headers,
timeout=3600) as response:
async def oai_chat_completions(user_prompt,
+ seed,
system_prompt,
base_url,
base_path,
n_predict=None,
enable_streaming=None,
response_format=None,
- seed=None,
user_api_key=None,
expect_api_error=None):
if debug:
return completion_response
-async def request_embedding(content, base_url=None):
+async def request_embedding(content, seed, base_url=None):
async with aiohttp.ClientSession() as session:
async with session.post(f'{base_url}/embedding',
json={
return [response_json['embedding']]
-async def request_oai_embeddings(input,
+async def request_oai_embeddings(input, seed,
base_url=None, user_api_key=None,
model=None, async_client=False):
# openai client always expects an api_key
f' {n_predicted} <> {expected_predicted_n}')
def assert_all_predictions_equal(completion_responses):
- content_0 = completion_responses[0]['content']
-
if 'DEBUG' in os.environ and os.environ['DEBUG'] == 'ON':
- print(f"content 0: {content_0}")
-
- i = 1
- for response in completion_responses[1:]:
- content = response['content']
-
- if 'DEBUG' in os.environ and os.environ['DEBUG'] == 'ON':
- print(f"content {i}: {content}")
-
- assert content == content_0, "contents not equal"
-
- i += 1
+ for i, response_i in enumerate(completion_responses):
+ content_i = response_i['content']
+ print(f"content {i}: {content_i}")
+ for i, response_i in enumerate(completion_responses):
+ content_i = response_i['content']
+ for j, response_j in enumerate(completion_responses):
+ if i == j:
+ continue
+ content_j = response_j['content']
+ assert content_i == content_j, "contents not equal"
+
+
+def assert_all_predictions_different(completion_responses):
+ if 'DEBUG' in os.environ and os.environ['DEBUG'] == 'ON':
+ for i, response_i in enumerate(completion_responses):
+ content_i = response_i['content']
+ print(f"content {i}: {content_i}")
+ for i, response_i in enumerate(completion_responses):
+ content_i = response_i['content']
+ for j, response_j in enumerate(completion_responses):
+ if i == j:
+ continue
+ content_j = response_j['content']
+ assert content_i != content_j, "contents not different"
async def gather_tasks_results(context):
f" = {expected[key]} != {slot[key]}")
-async def completions_seed(context):
- return context.seed if hasattr(context, 'seed') and context.seed is not None \
- else context.server_seed if hasattr(context, 'server_seed') else None
+async def completions_seed(context, num_seeds=None):
+ if hasattr(context, "seed") and context.seed is not None:
+ assert len(context.seed) == context.n_prompts
+ if num_seeds is None:
+ num_seeds = context.n_prompts
+ assert num_seeds <= context.n_prompts
+ seeds = context.seed[:num_seeds]
+ context.seed = context.seed[num_seeds:] if num_seeds < context.n_prompts else None
+ return seeds
+
+ if hasattr(context, "server_seed") and context.server_seed is not None:
+ if num_seeds is None:
+ return [context.server_seed] * context.n_prompts
+ else:
+ return [context.server_seed] * num_seeds
+ return None
def context_text(context):