diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 3b565132..6770a643 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -36,6 +36,7 @@ repos:
args:
- --word-list=.secrets.allowlist
- --exclude-files=.secrets.baseline$
+ exclude: tests/cassettes
- repo: https://github.com/jumanjihouse/pre-commit-hooks
rev: 3.0.0
hooks:
@@ -62,7 +63,7 @@ repos:
additional_dependencies:
- "validate-pyproject-schema-store[all]>=2024.08.19" # For Ruff renaming RUF025 to C420
- repo: https://github.com/astral-sh/uv-pre-commit
- rev: 0.4.6
+ rev: 0.4.9
hooks:
- id: uv-lock
- repo: https://github.com/pre-commit/mirrors-mypy
@@ -73,7 +74,7 @@ repos:
- fastapi>=0.109 # Match pyproject.toml
- fhaviary>=0.6 # Match pyproject.toml
- httpx
- - litellm>=1.40.9,<=1.40.12 # Match pyproject.toml
+ - litellm>=1.42.1 # Match pyproject.toml
- numpy
- pydantic~=2.0 # Match pyproject.toml
- tenacity
diff --git a/.secrets.allowlist b/.secrets.allowlist
index e69de29b..eef34657 100644
--- a/.secrets.allowlist
+++ b/.secrets.allowlist
@@ -0,0 +1,2 @@
+authorization
+x-api-key
diff --git a/ldp/llms/__init__.py b/ldp/llms/__init__.py
index 77807d23..7795d172 100644
--- a/ldp/llms/__init__.py
+++ b/ldp/llms/__init__.py
@@ -3,7 +3,6 @@
LLMModel,
LLMResult,
MultipleCompletionLLMModel,
- process_llm_config,
sum_logprobs,
validate_json_completion,
)
@@ -35,7 +34,6 @@
"append_to_sys",
"prepend_sys",
"prepend_sys_and_append_sys",
- "process_llm_config",
"sum_logprobs",
"validate_json_completion",
]
diff --git a/ldp/llms/chat.py b/ldp/llms/chat.py
index 12d64859..183148ef 100644
--- a/ldp/llms/chat.py
+++ b/ldp/llms/chat.py
@@ -59,24 +59,6 @@ def get_supported_openai_params(self) -> list[str] | None:
return litellm.get_supported_openai_params(self.model)
-def process_llm_config(llm_config: dict) -> dict:
- """Remove model_type and try to set max_tokens."""
- result = llm_config.copy()
- result.pop("model_type", None)
-
- if result.get("max_tokens", -1) == -1: # Either max_tokens is missing or it's -1
- model = llm_config["model"]
- # these are estimates - should probably do something better in the future.
- if model.startswith("gpt-4") or (
- model.startswith("gpt-3.5") and "0125" in model
- ):
- result["max_tokens"] = 4000
- elif "rrr" not in model:
- result["max_tokens"] = 2500
-
- return result
-
-
def sum_logprobs(choice: litellm.utils.Choices) -> float | None:
"""Calculate the sum of the log probabilities of an LLM completion (a Choices object).
@@ -154,22 +136,20 @@ async def achat(
self, messages: Iterable[Message], **kwargs
) -> litellm.ModelResponse:
return await litellm.acompletion(
- messages=[m.model_dump(exclude_none=True, by_alias=True) for m in messages],
- **(process_llm_config(self.config) | kwargs),
+ messages=[m.model_dump(by_alias=True) for m in messages],
+ **(self.config | kwargs),
)
async def achat_iter(self, messages: Iterable[Message], **kwargs) -> AsyncGenerator:
return cast(
AsyncGenerator,
await litellm.acompletion(
- messages=[
- m.model_dump(exclude_none=True, by_alias=True) for m in messages
- ],
- **(process_llm_config(self.config) | kwargs),
+ messages=[m.model_dump(by_alias=True) for m in messages],
stream=True,
stream_options={
"include_usage": True, # Included to get prompt token counts
},
+ **(self.config | kwargs),
),
)
@@ -225,7 +205,7 @@ async def call( # noqa: C901, PLR0915
chat_kwargs["response_format"] = {"type": "json_object"}
# add static configuration to kwargs
- chat_kwargs = process_llm_config(self.config) | chat_kwargs
+ chat_kwargs = self.config | chat_kwargs
n = chat_kwargs.get("n", 1) # number of completions
if n < 1:
raise ValueError("Number of completions (n) must be >= 1.")
diff --git a/pyproject.toml b/pyproject.toml
index fdd01cc9..970149c6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -74,6 +74,7 @@ tests-root = "tests"
check-filenames = true
check-hidden = true
ignore-words-list = "astroid,ser"
+skip = "tests/cassettes/*"
[tool.mypy]
# Type-checks the interior of functions without type annotations.
@@ -199,6 +200,8 @@ disable = [
"too-many-return-statements", # Rely on ruff PLR0911 for this
"too-many-statements", # Rely on ruff PLR0915 for this
"ungrouped-imports", # Rely on ruff I001 for this
+ "unidiomatic-typecheck", # Rely on ruff E721 for this
+ "unreachable", # Rely on mypy unreachable for this
"unspecified-encoding", # Don't care to enforce this
"unsubscriptable-object", # Buggy, SEE: https://github.com/PyCQA/pylint/issues/3637
"unsupported-membership-test", # Buggy, SEE: https://github.com/pylint-dev/pylint/issues/3045
@@ -400,13 +403,14 @@ dev-dependencies = [
"fhaviary[xml]",
"ipython>=8", # Pin to keep recent
"ldp[monitor,nn,server,typing,visualization]",
- "litellm>=1.40.9,<=1.40.12", # Pin lower for get_supported_openai_params not requiring custom LLM, upper for https://github.com/BerriAI/litellm/issues/4032
+ "litellm>=1.42.1", # Pin lower for UnsupportedParamsError fix
"mypy>=1.8", # Pin for mutable-override
"pre-commit~=3.4", # Pin to keep recent
"pydantic~=2.9", # Pydantic 2.9 changed JSON schema exports 'allOf', so ensure tests match
"pylint-pydantic",
"pylint>=3.2", # Pin to keep recent
"pytest-asyncio",
+ "pytest-recording",
"pytest-rerunfailures",
"pytest-subtests",
"pytest-sugar",
diff --git a/tests/__init__.py b/tests/__init__.py
index f405a0f2..293657e6 100644
--- a/tests/__init__.py
+++ b/tests/__init__.py
@@ -1,3 +1,4 @@
+import pathlib
from enum import StrEnum
@@ -6,3 +7,7 @@ class CILLMModelNames(StrEnum):
ANTHROPIC = "claude-3-haiku-20240307" # Cheap and not Anthropic's cutting edge
OPENAI = "gpt-4o-mini-2024-07-18" # Cheap and not OpenAI's cutting edge
+
+
+TESTS_DIR = pathlib.Path(__file__).parent
+CASSETTES_DIR = TESTS_DIR / "cassettes"
diff --git a/tests/cassettes/TestHTTPAgentClient.test_lifecycle.yaml b/tests/cassettes/TestHTTPAgentClient.test_lifecycle.yaml
new file mode 100644
index 00000000..bb5b406e
--- /dev/null
+++ b/tests/cassettes/TestHTTPAgentClient.test_lifecycle.yaml
@@ -0,0 +1,713 @@
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new file mode 100644
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diff --git a/tests/cassettes/test_reflect_module.yaml b/tests/cassettes/test_reflect_module.yaml
new file mode 100644
index 00000000..46f7af9d
--- /dev/null
+++ b/tests/cassettes/test_reflect_module.yaml
@@ -0,0 +1,67 @@
+interactions:
+ - request:
+ body:
+ '{"messages": [{"role": "user", "content": [{"type": "text", "text": "\n I
+ am happy. How do I feel?\n\n\n You are sad.\n"}]}],
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+ 4096, "model": "claude-3-haiku-20240307"}'
+ headers:
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diff --git a/tests/conftest.py b/tests/conftest.py
index dfee3ed5..3424c16f 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,5 +1,6 @@
import os
import random
+from typing import Any
import numpy as np
import pytest
@@ -8,6 +9,8 @@
from ldp.utils import configure_log_levels
+from . import CASSETTES_DIR
+
IN_GITHUB_ACTIONS: bool = os.getenv("GITHUB_ACTIONS") == "true"
@@ -35,3 +38,18 @@ def set_seed(seed: int | None) -> None:
def fixture_seed_zero() -> None:
"""Set a 0 seed to minimize the chances of test flakiness."""
set_seed(0)
+
+
+OPENAI_API_KEY_HEADER = "authorization"
+ANTHROPIC_API_KEY_HEADER = "x-api-key"
+
+
+@pytest.fixture(scope="session", name="vcr_config")
+def fixture_vcr_config() -> dict[str, Any]:
+ return {
+ "filter_headers": [OPENAI_API_KEY_HEADER, ANTHROPIC_API_KEY_HEADER, "cookie"],
+ "record_mode": "once",
+ "match_on": ["method", "host", "path", "query"],
+ "allow_playback_repeats": True,
+ "cassette_library_dir": str(CASSETTES_DIR),
+ }
diff --git a/tests/test_agents.py b/tests/test_agents.py
index 195b6579..a0351615 100644
--- a/tests/test_agents.py
+++ b/tests/test_agents.py
@@ -121,9 +121,7 @@ class TestSimpleAgent:
"model_name", [CILLMModelNames.ANTHROPIC.value, CILLMModelNames.OPENAI.value]
)
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_dummyenv(self, dummy_env: DummyEnv, model_name: str) -> None:
obs, tools = await dummy_env.reset()
@@ -157,9 +155,7 @@ async def test_dummyenv(self, dummy_env: DummyEnv, model_name: str) -> None:
"model_name", [CILLMModelNames.ANTHROPIC.value, CILLMModelNames.OPENAI.value]
)
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_agent_grad(self, dummy_env: DummyEnv, model_name: str) -> None:
obs, tools = await dummy_env.reset()
@@ -210,9 +206,7 @@ class TestMemoryAgent:
# # On 5/14/2024, claude 3 opus would not follow its past memories
@pytest.mark.parametrize("model_name", [CILLMModelNames.OPENAI.value])
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_dummyenv(self, dummy_env: DummyEnv, model_name: str) -> None:
obs, tools = await dummy_env.reset()
@@ -256,9 +250,7 @@ async def test_dummyenv(self, dummy_env: DummyEnv, model_name: str) -> None:
raise RuntimeError("Could not find LLMCallOp in compute graph")
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_agent_grad(self, dummy_env: DummyEnv) -> None:
obs, tools = await dummy_env.reset()
@@ -306,9 +298,7 @@ class TestReActAgent:
"model_name", [CILLMModelNames.ANTHROPIC.value, "gpt-4-turbo"]
)
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_react_dummyenv(self, dummy_env: DummyEnv, model_name: str) -> None:
obs, tools = await dummy_env.reset()
agent = ReActAgent(llm_model={"model": model_name, "temperature": 0.1})
@@ -377,9 +367,7 @@ def test_agent_op_naming(self) -> None:
"model_name", [CILLMModelNames.ANTHROPIC.value, "gpt-4-turbo"]
)
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_agent_grad(self, dummy_env: DummyEnv, model_name: str) -> None:
obs, tools = await dummy_env.reset()
@@ -568,9 +556,7 @@ async def test_complex_system_prompt(
class TestHTTPAgentClient:
@patch.dict("os.environ", {"AUTH_TOKEN": "stub"})
@pytest.mark.asyncio
- @pytest.mark.flaky( # Rerun if LLM call does not return expected result
- reruns=3, only_on=[AssertionError]
- )
+ @pytest.mark.vcr
async def test_lifecycle(self, dummy_env: DummyEnv) -> None:
obs, tools = await dummy_env.reset()
# Let's turn the prompt to require multiple steps
diff --git a/tests/test_envs.py b/tests/test_envs.py
index 2cfa9950..ef1c9c9c 100644
--- a/tests/test_envs.py
+++ b/tests/test_envs.py
@@ -79,6 +79,7 @@ def smile_and_wave(state: DummyEnvState) -> None:
class TestParallelism:
@pytest.mark.asyncio
+ @pytest.mark.vcr
async def test_SimpleAgent_can_parallel_call(self) -> None:
env = ParallelizedDummyEnv()
obs, tools = await env.reset()
@@ -127,13 +128,7 @@ async def test_exec_tool_calls_handling(self, model_name: str) -> None:
# 2. Well, it looks like both Anthropic and OpenAI don't like DIY-style
# (using a bare Message) because they expect a tool call ID and tool name
- # APIConnectionError is for a LiteLLM bug: https://github.com/BerriAI/litellm/issues/4348
- # TODO: remove litellm.APIConnectionError catch after release of
- # https://github.com/BerriAI/litellm/commit/5e893ed13e87bc1ff5cfa198bae6faec3ad4af05
- # (will happen when litellm>1.40.22)
- with pytest.raises(
- (litellm.BadRequestError, litellm.APIConnectionError), match="400"
- ):
+ with pytest.raises(litellm.BadRequestError, match="invalid"):
await agent.get_asv(agent_state, obs)
# 3. Alright, let's check the agent doesn't blow up if we use a
diff --git a/tests/test_llms.py b/tests/test_llms.py
index 747ff970..6cc9726c 100644
--- a/tests/test_llms.py
+++ b/tests/test_llms.py
@@ -71,6 +71,7 @@ async def test_achat(model_name: str) -> None:
@pytest.mark.parametrize(
"model_name", [CILLMModelNames.OPENAI.value, CILLMModelNames.ANTHROPIC.value]
)
+@pytest.mark.flaky(reruns=3, only_on=[litellm.exceptions.APIConnectionError])
@pytest.mark.asyncio
async def test_tools(dummy_env: DummyEnv, model_name: str) -> None:
model = LLMModel(name=model_name)
@@ -232,7 +233,7 @@ def play(move: int | None) -> None:
assert result.messages[0].tool_calls[0].function.arguments["move"] is None
@pytest.mark.asyncio
- @pytest.mark.flaky(reruns=3, only_on=[AssertionError])
+ @pytest.mark.vcr
async def test_output_schema(self) -> None:
model = self.MODEL_CLS(name="gpt-3.5-turbo", config=self.DEFAULT_CONFIG)
messages = [
@@ -252,7 +253,7 @@ async def test_output_schema(self) -> None:
@pytest.mark.parametrize("model_name", [CILLMModelNames.OPENAI.value])
@pytest.mark.asyncio
- @pytest.mark.flaky(reruns=3, only_on=[AssertionError])
+ @pytest.mark.vcr
async def test_text_image_message(self, model_name: str) -> None:
model = self.MODEL_CLS(name=model_name, config=self.DEFAULT_CONFIG)
@@ -292,6 +293,7 @@ async def call_model(self, model: LLMModel, *args, **kwargs) -> list[LLMResult]:
"model_name", [CILLMModelNames.ANTHROPIC.value, "gpt-3.5-turbo"]
)
@pytest.mark.asyncio
+ @pytest.mark.vcr
async def test_model(self, model_name: str) -> None:
await super().test_model(model_name)
@@ -319,9 +321,10 @@ async def test_output_type_rejected_validation(self) -> None:
class InstructionList(BaseModel):
instructions: list[str] = Field(description="list of instructions")
- model = LLMModel(name=CILLMModelNames.ANTHROPIC.value)
+ model = self.MODEL_CLS(name=CILLMModelNames.ANTHROPIC.value)
with pytest.raises(
- litellm.APIError, match="anthropic does not support parameters"
+ litellm.UnsupportedParamsError,
+ match="anthropic does not support parameters",
):
await model.call(
[Message(content="What are three things I should do today?")],
@@ -333,6 +336,6 @@ class InstructionList(BaseModel):
[CILLMModelNames.ANTHROPIC.value, "gpt-4-turbo", CILLMModelNames.OPENAI.value],
)
@pytest.mark.asyncio
- @pytest.mark.flaky(reruns=3, only_on=[AssertionError])
+ @pytest.mark.vcr
async def test_text_image_message(self, model_name: str) -> None:
await super().test_text_image_message(model_name)
diff --git a/tests/test_modules.py b/tests/test_modules.py
index 5ef93ba5..5234f4ca 100644
--- a/tests/test_modules.py
+++ b/tests/test_modules.py
@@ -19,6 +19,7 @@
@pytest.mark.asyncio
+@pytest.mark.vcr
async def test_reflect_module() -> None:
config = ReflectModuleConfig(
llm_model={"model": CILLMModelNames.ANTHROPIC.value, "temperature": 0}
diff --git a/uv.lock b/uv.lock
index 39f87442..ce45f243 100644
--- a/uv.lock
+++ b/uv.lock
@@ -513,16 +513,16 @@ wheels = [
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name = "fastapi"
-version = "0.114.0"
+version = "0.114.1"
source = { registry = "https://pypi.org/simple" }
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{ name = "starlette" },
{ name = "typing-extensions" },
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[[package]]
@@ -735,14 +735,14 @@ wheels = [
[[package]]
name = "importlib-metadata"
-version = "8.4.0"
+version = "8.5.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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]
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