♻️ (OllamaModel.py): Refactor OllamaModel.py to new Component standard
This commit is contained in:
ogabrielluiz
parent
17065dd083
commit
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1 changed files with 134 additions and 234 deletions
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@ -1,11 +1,12 @@
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from typing import Any, Dict, List, Optional
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from typing import Any, List, Optional
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import httpx
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from langchain_community.chat_models.ollama import ChatOllama
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from langflow.base.constants import STREAM_INFO_TEXT
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from langflow.base.models.model import LCModelComponent
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from langflow.field_typing import Text
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from langflow.field_typing import BaseLanguageModel, Text
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from langflow.template.field.base import Input, Output
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class ChatOllamaComponent(LCModelComponent):
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@ -13,199 +14,6 @@ class ChatOllamaComponent(LCModelComponent):
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description = "Generate text using Ollama Local LLMs."
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icon = "Ollama"
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field_order = [
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"base_url",
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"headers",
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"keep_alive_flag",
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"keep_alive",
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"metadata",
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"model",
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"temperature",
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"cache",
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"format",
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"metadata",
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"mirostat",
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"mirostat_eta",
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"mirostat_tau",
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"num_ctx",
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"num_gpu",
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"num_thread",
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"repeat_last_n",
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"repeat_penalty",
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"tfs_z",
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"timeout",
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"top_k",
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"top_p",
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"verbose",
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"tags",
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"stop",
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"system",
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"template",
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"input_value",
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"system_message",
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"stream",
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]
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def build_config(self) -> dict:
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return {
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"base_url": {
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"display_name": "Base URL",
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"info": "Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
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},
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"format": {
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"display_name": "Format",
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"info": "Specify the format of the output (e.g., json)",
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"advanced": True,
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},
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"headers": {
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"display_name": "Headers",
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"advanced": True,
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},
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"keep_alive_flag": {
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"display_name": "Unload interval",
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"options": ["Keep", "Immediately", "Minute", "Hour", "sec"],
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"real_time_refresh": True,
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"refresh_button": True,
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},
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"keep_alive": {
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"display_name": "interval",
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"info": "How long the model will stay loaded into memory.",
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},
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"model": {
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"display_name": "Model Name",
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"options": [],
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"info": "Refer to https://ollama.ai/library for more models.",
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"real_time_refresh": True,
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"refresh_button": True,
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},
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"temperature": {
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"display_name": "Temperature",
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"field_type": "float",
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"value": 0.8,
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"info": "Controls the creativity of model responses.",
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},
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"metadata": {
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"display_name": "Metadata",
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"info": "Metadata to add to the run trace.",
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"advanced": True,
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},
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"mirostat": {
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"display_name": "Mirostat",
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"options": ["Disabled", "Mirostat", "Mirostat 2.0"],
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"info": "Enable/disable Mirostat sampling for controlling perplexity.",
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"advanced": False,
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"real_time_refresh": True,
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"refresh_button": True,
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},
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"mirostat_eta": {
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"display_name": "Mirostat Eta",
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"field_type": "float",
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"info": "Learning rate for Mirostat algorithm. (Default: 0.1)",
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"advanced": True,
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"real_time_refresh": True,
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},
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"mirostat_tau": {
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"display_name": "Mirostat Tau",
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"field_type": "float",
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"info": "Controls the balance between coherence and diversity of the output. (Default: 5.0)",
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"advanced": True,
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"real_time_refresh": True,
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},
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"num_ctx": {
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"display_name": "Context Window Size",
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"field_type": "int",
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"info": "Size of the context window for generating tokens. (Default: 2048)",
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"advanced": True,
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},
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"num_gpu": {
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"display_name": "Number of GPUs",
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"field_type": "int",
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"info": "Number of GPUs to use for computation. (Default: 1 on macOS, 0 to disable)",
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"advanced": True,
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},
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"num_thread": {
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"display_name": "Number of Threads",
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"field_type": "int",
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"info": "Number of threads to use during computation. (Default: detected for optimal performance)",
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"advanced": True,
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},
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"repeat_last_n": {
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"display_name": "Repeat Last N",
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"field_type": "int",
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"info": "How far back the model looks to prevent repetition. (Default: 64, 0 = disabled, -1 = num_ctx)",
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"advanced": True,
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},
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"repeat_penalty": {
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"display_name": "Repeat Penalty",
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"field_type": "float",
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"info": "Penalty for repetitions in generated text. (Default: 1.1)",
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"advanced": True,
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},
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"tfs_z": {
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"display_name": "TFS Z",
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"field_type": "float",
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"info": "Tail free sampling value. (Default: 1)",
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"advanced": True,
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},
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"timeout": {
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"display_name": "Timeout",
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"field_type": "int",
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"info": "Timeout for the request stream.",
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"advanced": True,
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},
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"top_k": {
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"display_name": "Top K",
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"field_type": "int",
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"info": "Limits token selection to top K. (Default: 40)",
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"advanced": True,
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},
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"top_p": {
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"display_name": "Top P",
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"field_type": "float",
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"info": "Works together with top-k. (Default: 0.9)",
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"advanced": True,
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},
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"verbose": {
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"display_name": "Verbose",
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"field_type": "bool",
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"info": "Whether to print out response text.",
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},
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"tags": {
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"display_name": "Tags",
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"field_type": "list",
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"info": "Tags to add to the run trace.",
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"advanced": True,
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},
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"stop": {
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"display_name": "Stop Tokens",
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"field_type": "list",
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"info": "List of tokens to signal the model to stop generating text.",
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"advanced": True,
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},
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"system": {
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"display_name": "System",
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"field_type": "str",
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"info": "System to use for generating text.",
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"advanced": True,
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},
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"template": {
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"display_name": "Template",
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"field_type": "str",
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"info": "Template to use for generating text.",
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"advanced": True,
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},
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"input_value": {"display_name": "Input", "input_types": ["Text", "Record", "Prompt"]},
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"stream": {
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"display_name": "Stream",
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"info": STREAM_INFO_TEXT,
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},
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"system_message": {
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"display_name": "System Message",
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"info": "System message to pass to the model.",
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"advanced": True,
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},
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}
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def update_build_config(self, build_config: dict, field_value: Any, field_name: str | None = None):
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if field_name == "mirostat":
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if field_value == "Disabled":
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@ -258,40 +66,134 @@ class ChatOllamaComponent(LCModelComponent):
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return model_names
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except Exception as e:
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raise ValueError("Could not retrieve models") from e
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return [""]
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def build(
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self,
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base_url: Optional[str],
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model: str,
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input_value: Text,
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mirostat: Optional[str] = "Disabled",
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mirostat_eta: Optional[float] = None,
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mirostat_tau: Optional[float] = None,
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repeat_last_n: Optional[int] = None,
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verbose: Optional[bool] = None,
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keep_alive: Optional[int] = None,
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keep_alive_flag: Optional[str] = "Keep",
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num_ctx: Optional[int] = None,
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num_gpu: Optional[int] = None,
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format: Optional[str] = None,
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metadata: Optional[Dict] = None,
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num_thread: Optional[int] = None,
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repeat_penalty: Optional[float] = None,
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stop: Optional[List[str]] = None,
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system: Optional[str] = None,
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tags: Optional[List[str]] = None,
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temperature: Optional[float] = None,
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template: Optional[str] = None,
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tfs_z: Optional[float] = None,
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timeout: Optional[int] = None,
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top_k: Optional[int] = None,
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top_p: Optional[int] = None,
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stream: bool = False,
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system_message: Optional[str] = None,
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) -> Text:
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if not base_url:
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base_url = "http://localhost:11434"
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inputs = [
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Input(
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name="base_url",
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type=Optional[str],
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display_name="Base URL",
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info="Endpoint of the Ollama API. Defaults to 'http://localhost:11434' if not specified.",
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value="http://localhost:11434",
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),
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Input(
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name="model",
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type=str,
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display_name="Model Name",
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options=[], # This should be dynamically loaded if possible
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info="Refer to https://ollama.ai/library for more models.",
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real_time_refresh=True,
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refresh_button=True,
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),
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Input(
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name="mirostat",
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type=str,
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display_name="Mirostat",
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options=["Disabled", "Mirostat", "Mirostat 2.0"],
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info="Enable/disable Mirostat sampling for controlling perplexity.",
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advanced=False,
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real_time_refresh=True,
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refresh_button=True,
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value="Disabled",
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),
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Input(
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name="mirostat_eta",
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type=Optional[float],
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display_name="Mirostat Eta",
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info="Learning rate for Mirostat algorithm.",
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advanced=True,
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real_time_refresh=True,
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value=None, # Default can vary based on mirostat status
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),
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Input(
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name="mirostat_tau",
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type=Optional[float],
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display_name="Mirostat Tau",
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info="Controls the balance between coherence and diversity of the output.",
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advanced=True,
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real_time_refresh=True,
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value=None, # Default can vary based on mirostat status
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),
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Input(
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name="temperature",
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type=float,
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display_name="Temperature",
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info="Controls the creativity of model responses.",
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value=0.8,
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),
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Input(name="input_value", type=str, display_name="Input", input_types=["Text", "Record", "Prompt"]),
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Input(name="stream", type=bool, display_name="Stream", info=STREAM_INFO_TEXT, value=False),
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Input(
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name="system_message",
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type=Optional[str],
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display_name="System Message",
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info="System message to pass to the model.",
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advanced=True,
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value=None,
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),
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Input(
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name="headers",
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type=dict,
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display_name="Headers",
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info="Additional headers to send with the request.",
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advanced=True,
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),
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Input(
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name="keep_alive_flag",
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type=str,
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display_params=["Keep", "Immediately", "Minute", "Hour", "sec"],
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display_name="Unload interval",
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info="Controls how the model unload interval is managed.",
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real_time_refresh=True,
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refresh_button=True,
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),
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Input(
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name="keep_alive",
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type=int,
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display_name="Interval",
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info="How long the model will stay loaded into memory.",
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value=None,
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),
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]
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outputs = [
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Output(display_name="Text", name="text_output", method="text_response"),
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Output(display_name="Language Model", name="model_output", method="model_response"),
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]
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def text_response(self) -> Text:
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input_value = self.input_value
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stream = self.stream
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system_message = self.system_message
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output = self.model_response()
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result = self.get_chat_result(output, stream, input_value, system_message)
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self.status = result
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return result
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def model_response(self) -> BaseLanguageModel:
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base_url = self.base_url or "http://localhost:11434"
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model = self.model
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mirostat = self.mirostat or "Disabled"
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mirostat_eta = self.mirostat_eta
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mirostat_tau = self.mirostat_tau
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repeat_last_n = self.repeat_last_n
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verbose = self.verbose
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keep_alive = self.keep_alive
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keep_alive_flag = self.keep_alive_flag or "Keep"
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num_ctx = self.num_ctx
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num_gpu = self.num_gpu
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_format = self.format
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metadata = self.metadata
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num_thread = self.num_thread
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repeat_penalty = self.repeat_penalty
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stop = self.stop
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system = self.system
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tags = self.tags
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temperature = self.temperature
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template = self.template
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tfs_z = self.tfs_z
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timeout = self.timeout
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top_k = self.top_k
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top_p = self.top_p
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headers = self.headers
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if keep_alive_flag == "Minute":
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keep_alive_instance = f"{keep_alive}m"
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@ -307,17 +209,15 @@ class ChatOllamaComponent(LCModelComponent):
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keep_alive_instance = "Invalid option"
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mirostat_instance = 0
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if mirostat == "disable":
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mirostat_instance = 0
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# Mapping system settings to their corresponding values
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llm_params = {
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"base_url": base_url,
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"model": model,
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"mirostat": mirostat_instance,
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"keep_alive": keep_alive_instance,
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"format": format,
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"format": _format,
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"metadata": metadata,
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"tags": tags,
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"mirostat_eta": mirostat_eta,
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@ -336,14 +236,14 @@ class ChatOllamaComponent(LCModelComponent):
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"top_k": top_k,
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"top_p": top_p,
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"verbose": verbose,
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"headers": headers,
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}
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# None Value remove
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llm_params = {k: v for k, v in llm_params.items() if v is not None}
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try:
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output = ChatOllama(**llm_params) # type: ignore
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output = ChatOllama(**llm_params)
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except Exception as e:
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raise ValueError("Could not initialize Ollama LLM.") from e
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return self.get_chat_result(output, stream, input_value, system_message)
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return output
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