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https://github.com/trustgraph-ai/trustgraph.git
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Added some params
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parent
7d00a53711
commit
099766c845
4 changed files with 73 additions and 12 deletions
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@ -229,6 +229,12 @@
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- "text-completion-bedrock"
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- "-p"
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- "pulsar://pulsar:6650"
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- "-l"
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- "4096"
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- "-t"
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- "0.0"
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- "-m"
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- "mistral.mixtral-8x7b-instruct-v0:1"
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- "-z"
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- "${AWS_ID_KEY}"
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- "-k"
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@ -242,6 +248,12 @@
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- "text-completion-bedrock"
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- "-p"
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- "pulsar://pulsar:6650"
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- "-l"
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- "4096"
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- "-t"
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- "0.0"
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- "-m"
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- "mistral.mixtral-8x7b-instruct-v0:1"
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- "-z"
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- "${AWS_ID_KEY}"
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- "-k"
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@ -19,6 +19,8 @@ module = ".".join(__name__.split(".")[1:-1])
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default_input_queue = text_completion_request_queue
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default_output_queue = text_completion_response_queue
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default_subscriber = module
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default_temperature = 0.0
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default_max = 4192
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class Processor(ConsumerProducer):
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@ -29,6 +31,8 @@ class Processor(ConsumerProducer):
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subscriber = params.get("subscriber", default_subscriber)
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endpoint = params.get("endpoint")
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token = params.get("token")
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temperature = params.get("temperature", default_temperature)
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max_tokens = params.get("max_output", default_max)
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super(Processor, self).__init__(
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**params | {
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@ -54,8 +58,8 @@ class Processor(ConsumerProducer):
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"role": "user", "content": content
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}
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],
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"max_tokens": 4192,
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"temperature": 0.2,
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"max_tokens": max_tokens,
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"temperature": temperature,
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"top_p": 1
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}
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@ -128,6 +132,18 @@ class Processor(ConsumerProducer):
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help=f'LLM model token'
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)
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parser.add_argument(
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'-t', '--temperature',
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default=f"temp=0.0",
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help=f'LLM temperature parameter'
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)
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parser.add_argument(
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'-l', '--max-output',
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default=f"max_tokens=4192",
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help=f'LLM max output tokens'
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)
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def run():
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Processor.start(module, __doc__)
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@ -22,6 +22,9 @@ default_output_queue = text_completion_response_queue
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default_subscriber = module
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default_model = 'mistral.mistral-large-2407-v1:0'
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default_region = 'us-west-2'
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default_temperature = 0.0
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default_max = 2048
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class Processor(ConsumerProducer):
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@ -34,6 +37,8 @@ class Processor(ConsumerProducer):
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aws_id = params.get("aws_id_key")
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aws_secret = params.get("aws_secret")
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aws_region = params.get("aws_region", default_region)
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temperature = params.get("temperature", default_temperature)
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max_tokens = params.get("max_output", default_max)
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super(Processor, self).__init__(
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**params | {
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@ -74,8 +79,8 @@ class Processor(ConsumerProducer):
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if self.model.startswith("mistral"):
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promptbody = json.dumps({
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"prompt": prompt,
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"max_tokens": 8192,
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"temperature": 0.0,
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"max_tokens": max_tokens,
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"temperature": temperature,
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"top_p": 0.99,
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"top_k": 40
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})
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@ -84,8 +89,8 @@ class Processor(ConsumerProducer):
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elif self.model.startswith("meta"):
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promptbody = json.dumps({
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"prompt": prompt,
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"max_gen_len": 2048,
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"temperature": 0.0,
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"max_gen_len": max_tokens,
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"temperature": temperature,
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"top_p": 0.95,
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})
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@ -93,8 +98,8 @@ class Processor(ConsumerProducer):
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elif self.model.startswith("anthropic"):
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promptbody = json.dumps({
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"anthropic_version": "bedrock-2023-05-31",
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"max_tokens": 8192,
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"temperature": 0,
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"max_tokens": max_tokens,
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"temperature": temperature,
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"top_p": 0.999,
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"messages": [
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{
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@ -113,8 +118,8 @@ class Processor(ConsumerProducer):
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else:
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promptbody = json.dumps({
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"prompt": prompt,
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"max_tokens": 8192,
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"temperature": 0.0,
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"max_tokens": max_tokens,
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"temperature": temperature,
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"top_p": 0.99,
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"top_k": 40
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})
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@ -196,6 +201,18 @@ class Processor(ConsumerProducer):
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help=f'AWS Region (default: us-west-2)'
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)
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parser.add_argument(
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'-t', '--temperature',
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default=f"temp=0.0",
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help=f'LLM temperature parameter'
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)
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parser.add_argument(
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'-l', '--max-output',
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default=f"max_tokens=2048",
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help=f'LLM max output tokens'
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)
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def run():
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Processor.start(module, __doc__)
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@ -18,6 +18,8 @@ default_input_queue = text_completion_request_queue
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default_output_queue = text_completion_response_queue
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default_subscriber = module
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default_model = 'claude-3-5-sonnet-20240620'
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default_temperature = 0.0
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default_max = 8192
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class Processor(ConsumerProducer):
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@ -28,6 +30,8 @@ class Processor(ConsumerProducer):
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subscriber = params.get("subscriber", default_subscriber)
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model = params.get("model", default_model)
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api_key = params.get("api_key")
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temperature = params.get("temperature", default_temperature)
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max_tokens = params.get("max_output", default_max)
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super(Processor, self).__init__(
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**params | {
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@ -61,8 +65,8 @@ class Processor(ConsumerProducer):
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# FIXME: Rate limits?
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response = message = self.claude.messages.create(
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model=self.model,
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max_tokens=1000,
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temperature=0.1,
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max_tokens=max_tokens,
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temperature=temperature,
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system = "You are a helpful chatbot.",
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messages=[
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{
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@ -105,6 +109,18 @@ class Processor(ConsumerProducer):
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help=f'Claude API key'
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)
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parser.add_argument(
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'-t', '--temperature',
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default=f"temp=0.0",
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help=f'LLM temperature parameter'
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)
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parser.add_argument(
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'-l', '--max-output',
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default=f"max_tokens=2048",
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help=f'LLM max output tokens'
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)
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def run():
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Processor.start(module, __doc__)
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