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"jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = "^3.8.1" -content-hash = "7aa2df935997f3fb16230b7d8947f8579ec96026fdb21b9d18a214e616463cbd" +content-hash = "8c6e7fdf785b70e487af7d06270f801ca787da3c3d5f5d4433d306d3c7c6752d" diff --git a/backend/pyproject.toml b/backend/pyproject.toml index 255cc48..6548251 100644 --- a/backend/pyproject.toml +++ b/backend/pyproject.toml @@ -14,7 +14,7 @@ fastapi = "^0.109.2" langserve = "^0.0.45" uvicorn = "^0.27.1" pydantic = "^1.10" -langchain-openai = "^0.0.8" +langchain-openai = "^0.1.3" jsonschema = "^4.21.1" sse-starlette = "^2.0.0" alembic = "^1.13.1" @@ -26,6 +26,8 @@ lxml = "^5.1.0" faiss-cpu = "^1.7.4" python-multipart = "^0.0.9" langchain-fireworks = "^0.1.1" +langchain-anthropic = "^0.1.11" +langchain-groq = "^0.1.3" [tool.poetry.group.dev.dependencies] jupyterlab = "^3.6.1" diff --git a/backend/server/extraction_runnable.py b/backend/server/extraction_runnable.py index 6493292..aea28f9 100644 --- a/backend/server/extraction_runnable.py +++ b/backend/server/extraction_runnable.py @@ -1,12 +1,13 @@ from __future__ import annotations import json +import uuid from typing import Any, Dict, List, Optional, Sequence from fastapi import HTTPException from jsonschema import Draft202012Validator, exceptions from langchain.text_splitter import TokenTextSplitter -from langchain_core.messages import AIMessage, HumanMessage +from langchain_core.messages import AIMessage, HumanMessage, ToolMessage from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import chain from langserve import CustomUserType @@ -97,19 +98,18 @@ def _make_prompt_template( # TODO: We'll need to refactor this at some point to # support other encoding strategies. The function calling logic here # has some hard-coded assumptions (e.g., name of parameters like `data`). - function_call = { - "arguments": json.dumps( - { - "data": example.output, - } - ), + _id = uuid.uuid4().hex[:] + tool_call = { + "args": {"data": example.output}, "name": function_name, + "id": _id, } few_shot_prompt.extend( [ HumanMessage(content=example.text), - AIMessage( - content="", additional_kwargs={"function_call": function_call} + AIMessage(content="", tool_calls=[tool_call]), + ToolMessage( + content="You have correctly called this tool.", tool_call_id=_id ), ] ) @@ -172,10 +172,9 @@ async def extraction_runnable(extraction_request: ExtractRequest) -> ExtractResp schema["title"], ) model = get_model(extraction_request.model_name) - # N.B. method must be consistent with examples in _make_prompt_template - runnable = ( - prompt | model.with_structured_output(schema=schema, method="function_calling") - ).with_config({"run_name": "extraction"}) + runnable = (prompt | model.with_structured_output(schema=schema)).with_config( + {"run_name": "extraction"} + ) return await runnable.ainvoke({"text": extraction_request.text}) diff --git a/backend/server/models.py b/backend/server/models.py index 7cdb43b..365d222 100644 --- a/backend/server/models.py +++ b/backend/server/models.py @@ -1,8 +1,10 @@ import os from typing import Optional +from langchain_anthropic import ChatAnthropic from langchain_core.language_models.chat_models import BaseChatModel from langchain_fireworks import ChatFireworks +from langchain_groq import ChatGroq from langchain_openai import ChatOpenAI @@ -37,6 +39,21 @@ def get_supported_models(): ), "description": "Mixtral 8x7B Instruct v0.1 (Together AI)", } + if "ANTHROPIC_API_KEY" in os.environ: + models["claude-3-sonnet-20240229"] = { + "chat_model": ChatAnthropic( + model="claude-3-sonnet-20240229", temperature=0 + ), + "description": "Claude 3 Sonnet", + } + if "GROQ_API_KEY" in os.environ: + models["groq-llama3-8b-8192"] = { + "chat_model": ChatGroq( + model="llama3-8b-8192", + temperature=0, + ), + "description": "GROQ Llama 3 8B", + } return models diff --git a/backend/tests/unit_tests/fake/test_fake_chat_model.py b/backend/tests/unit_tests/fake/test_fake_chat_model.py index 469b3d2..ba91cac 100644 --- a/backend/tests/unit_tests/fake/test_fake_chat_model.py +++ b/backend/tests/unit_tests/fake/test_fake_chat_model.py @@ -6,16 +6,24 @@ from tests.unit_tests.fake.chat_model import GenericFakeChatModel +class AnyStr(str): + def __init__(self) -> None: + super().__init__() + + def __eq__(self, other: object) -> bool: + return isinstance(other, str) + + def test_generic_fake_chat_model_invoke() -> None: # Will alternate between responding with hello and goodbye infinite_cycle = cycle([AIMessage(content="hello"), AIMessage(content="goodbye")]) model = GenericFakeChatModel(messages=infinite_cycle) response = model.invoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) response = model.invoke("kitty") - assert response == AIMessage(content="goodbye") + assert response == AIMessage(content="goodbye", id=AnyStr()) response = model.invoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) async def test_generic_fake_chat_model_ainvoke() -> None: @@ -23,8 +31,8 @@ async def test_generic_fake_chat_model_ainvoke() -> None: infinite_cycle = cycle([AIMessage(content="hello"), AIMessage(content="goodbye")]) model = GenericFakeChatModel(messages=infinite_cycle) response = await model.ainvoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) response = await model.ainvoke("kitty") - assert response == AIMessage(content="goodbye") + assert response == AIMessage(content="goodbye", id=AnyStr()) response = await model.ainvoke("meow") - assert response == AIMessage(content="hello") + assert response == AIMessage(content="hello", id=AnyStr()) diff --git a/backend/tests/unit_tests/test_utils.py b/backend/tests/unit_tests/test_utils.py index 22df008..06b8030 100644 --- a/backend/tests/unit_tests/test_utils.py +++ b/backend/tests/unit_tests/test_utils.py @@ -1,4 +1,5 @@ from langchain.pydantic_v1 import BaseModel, Field +from langchain_core.messages import AIMessage from extraction.utils import update_json_schema from server.extraction_runnable import ExtractionExample, _make_prompt_template @@ -82,7 +83,7 @@ def test_make_prompt_template() -> None: ) prompt = _make_prompt_template(instructions, examples, "name") messages = prompt.messages - assert 4 == len(messages) + assert 5 == len(messages) system = messages[0].prompt.template assert system.startswith(prefix) assert system.endswith(instructions) @@ -90,11 +91,13 @@ def test_make_prompt_template() -> None: example_input = messages[1] assert example_input.content == "Test text." example_output = messages[2] - assert "function_call" in example_output.additional_kwargs - assert example_output.additional_kwargs["function_call"]["name"] == "name" + assert isinstance(example_output, AIMessage) + assert example_output.tool_calls + assert len(example_output.tool_calls) == 1 + assert example_output.tool_calls[0]["name"] == "name" prompt = _make_prompt_template(instructions, None, "name") assert 2 == len(prompt.messages) prompt = _make_prompt_template(None, examples, "name") - assert 4 == len(prompt.messages) + assert 5 == len(prompt.messages)