Remove Together Support (#9) - vet - Unnamed repository; edit this file 'description' to name the repository.

commit 6f2f275154adfa37391d9f0c3fd2ea65e2a50b4f
parent 4233b188233b833b4e31b725b6f513ce03a601bd
Author: andrewlaack-collab <andrew.laack@imbue.com>
Date:   Mon,  2 Feb 2026 20:27:41 +0000

Remove Together Support (#9)

* Remove together stuff

* Formatter
Diffstat:
M pyproject.toml  | 1 -
M uv.lock  | 240 -------------------------------------------------------------------------------
M vet/cli/models.py  | 2 --
M vet/cli/models_test.py  | 1 -
M vet/imbue_core/agents/llm_apis/build_apis.py  | 14 --------------
M vet/imbue_core/agents/llm_apis/common.py  | 12 ++++--------
D vet/imbue_core/agents/llm_apis/together_api.py  | 611 -------------------------------------------------------------------------------

7 files changed, 4 insertions(+), 877 deletions(-)
diff --git a/pyproject.toml b/pyproject.toml
@@ -16,7 +16,6 @@ dependencies = [
     "pygments>=2.0.0",
     "pytest",
     "syrupy",
-    "together>=1.5.35",
 
     # From imbue_core
     "anyio",
diff --git a/uv.lock b/uv.lock
@@ -565,15 +565,6 @@ wheels = [
 ]
 
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-]
-
-[[package]]
 name = "executing"
 version = "2.2.1"
 source = { registry = "https://pypi.org/simple" }
@@ -583,15 +574,6 @@ wheels = [
 ]
 
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-]
-
-[[package]]
 name = "frozenlist"
 version = "1.8.0"
 source = { registry = "https://pypi.org/simple" }
@@ -1315,85 +1297,6 @@ wheels = [
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 name = "platformdirs"
 version = "4.5.1"
 source = { registry = "https://pypi.org/simple" }
@@ -2338,15 +2157,6 @@ wheels = [
 ]
 
 [[package]]
-name = "shellingham"
-version = "1.5.4"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/58/15/8b3609fd3830ef7b27b655beb4b4e9c62313a4e8da8c676e142cc210d58e/shellingham-1.5.4.tar.gz", hash = "sha256:8dbca0739d487e5bd35ab3ca4b36e11c4078f3a234bfce294b0a0291363404de", size = 10310, upload-time = "2023-10-24T04:13:40.426Z" }
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-]
-
-[[package]]
 name = "six"
 version = "1.17.0"
 source = { registry = "https://pypi.org/simple" }
@@ -2377,15 +2187,6 @@ wheels = [
 ]
 
 [[package]]
-name = "tabulate"
-version = "0.9.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ec/fe/802052aecb21e3797b8f7902564ab6ea0d60ff8ca23952079064155d1ae1/tabulate-0.9.0.tar.gz", hash = "sha256:0095b12bf5966de529c0feb1fa08671671b3368eec77d7ef7ab114be2c068b3c", size = 81090, upload-time = "2022-10-06T17:21:48.54Z" }
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-]
-
-[[package]]
 name = "tblib"
 version = "2.0.0"
 source = { registry = "https://pypi.org/simple" }
@@ -2458,30 +2259,6 @@ wheels = [
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-name = "together"
-version = "1.5.35"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "aiohttp" },
-    { name = "black" },
-    { name = "click" },
-    { name = "eval-type-backport" },
-    { name = "filelock" },
-    { name = "numpy" },
-    { name = "pillow" },
-    { name = "pydantic" },
-    { name = "requests" },
-    { name = "rich" },
-    { name = "tabulate" },
-    { name = "tqdm" },
-    { name = "typer" },
-]
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 name = "toml"
 version = "0.10.2"
 source = { registry = "https://pypi.org/simple" }
@@ -2548,21 +2325,6 @@ wheels = [
 ]
 
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-name = "typer"
-version = "0.19.2"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "click" },
-    { name = "rich" },
-    { name = "shellingham" },
-    { name = "typing-extensions" },
-]
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 name = "typing-extensions"
 version = "4.15.0"
 source = { registry = "https://pypi.org/simple" }
@@ -2672,7 +2434,6 @@ dependencies = [
     { name = "tblib" },
     { name = "tenacity" },
     { name = "tiktoken" },
-    { name = "together" },
     { name = "toml" },
     { name = "traceback-with-variables" },
     { name = "typeid-python" },
@@ -2724,7 +2485,6 @@ requires-dist = [
     { name = "tblib", specifier = "==2.0.0" },
     { name = "tenacity", specifier = ">=8.2.2" },
     { name = "tiktoken" },
-    { name = "together", specifier = ">=1.5.35" },
     { name = "toml" },
     { name = "traceback-with-variables", specifier = ">=2.2.0" },
     { name = "typeid-python" },
diff --git a/vet/cli/models.py b/vet/cli/models.py
@@ -5,7 +5,6 @@ from vet.imbue_core.agents.llm_apis.common import get_all_model_names
 from vet.imbue_core.agents.llm_apis.gemini_api import GeminiModelName
 from vet.imbue_core.agents.llm_apis.groq_api import GroqSupportedModelName
 from vet.imbue_core.agents.llm_apis.openai_api import OpenAIModelName
-from vet.imbue_core.agents.llm_apis.together_api import TogetherAIModelName
 from vet.cli.config.loader import get_models_by_provider_from_config
 from vet.cli.config.loader import get_user_defined_model_ids
 from vet.cli.config.schema import ModelsConfig
@@ -48,7 +47,6 @@ def get_builtin_models_by_provider() -> dict[str, list[str]]:
         "openai": [m.value for m in OpenAIModelName],
         "gemini": [m.value for m in GeminiModelName],
         "groq": [m.value for m in GroqSupportedModelName],
-        "together": [m.value for m in TogetherAIModelName],
     }
 
 
diff --git a/vet/cli/models_test.py b/vet/cli/models_test.py
@@ -110,7 +110,6 @@ def test_get_builtin_models_by_provider_returns_dict_with_expected_providers() -
     assert "openai" in providers
     assert "gemini" in providers
     assert "groq" in providers
-    assert "together" in providers
 
 
 def test_get_builtin_models_by_provider_all_values_are_lists_of_strings() -> None:
diff --git a/vet/imbue_core/agents/llm_apis/build_apis.py b/vet/imbue_core/agents/llm_apis/build_apis.py
@@ -16,8 +16,6 @@ from vet.imbue_core.agents.llm_apis.mock_api import MockModelName
 from vet.imbue_core.agents.llm_apis.openai_api import OpenAIChatAPI
 from vet.imbue_core.agents.llm_apis.openai_api import OpenAIModelName
 from vet.imbue_core.agents.llm_apis.openai_compatible_api import OpenAICompatibleAPI
-from vet.imbue_core.agents.llm_apis.together_api import TogetherAIModelName
-from vet.imbue_core.agents.llm_apis.together_api import TogetherAPI
 
 
 def build_language_model_from_config(
@@ -73,18 +71,6 @@ def build_language_model_from_config(
             is_using_logprobs=config.is_using_logprobs,
             retry_jitter_factor=config.retry_jitter_factor,
         )
-    if config.model_name in (v for v in TogetherAIModelName):
-        return TogetherAPI(
-            model_name=config.model_name,
-            cache_path=config.cache_path,
-            # count tokens is not supported for Together API
-            # count_tokens_cache_path=config.count_tokens_cache_path,
-            is_caching_inputs=config.is_caching_inputs,
-            is_running_offline=config.is_running_offline,
-            is_conversational=True,
-            is_using_logprobs=config.is_using_logprobs,
-            retry_jitter_factor=config.retry_jitter_factor,
-        )
     if config.model_name in (v for v in GeminiModelName):
         return GeminiAPI(
             model_name=config.model_name,
diff --git a/vet/imbue_core/agents/llm_apis/common.py b/vet/imbue_core/agents/llm_apis/common.py
@@ -3,17 +3,17 @@ from vet.imbue_core.agents.llm_apis.anthropic_api import AnthropicModelName
 from vet.imbue_core.agents.llm_apis.gemini_api import GEMINI_MODEL_INFO_BY_NAME
 from vet.imbue_core.agents.llm_apis.gemini_api import GeminiModelName
 from vet.imbue_core.agents.llm_apis.groq_api import GroqSupportedModelName
-from vet.imbue_core.agents.llm_apis.groq_api import get_model_info as get_groq_model_info
+from vet.imbue_core.agents.llm_apis.groq_api import (
+    get_model_info as get_groq_model_info,
+)
 from vet.imbue_core.agents.llm_apis.mock_api import MY_MOCK_MODEL_INFO
 from vet.imbue_core.agents.llm_apis.models import ModelInfo
 from vet.imbue_core.agents.llm_apis.openai_api import OpenAIModelName
 from vet.imbue_core.agents.llm_apis.openai_api import (
     get_model_info as get_openai_model_info,
 )
-from vet.imbue_core.agents.llm_apis.together_api import TOGETHERAI_MODEL_INFO_BY_NAME
-from vet.imbue_core.agents.llm_apis.together_api import TogetherAIModelName
 
-ModelName = AnthropicModelName | OpenAIModelName | GroqSupportedModelName | TogetherAIModelName | GeminiModelName
+ModelName = AnthropicModelName | OpenAIModelName | GroqSupportedModelName | GeminiModelName
 
 
 def get_model_info_from_name(model_name: str) -> ModelInfo:
@@ -25,8 +25,6 @@ def get_model_info_from_name(model_name: str) -> ModelInfo:
         return get_openai_model_info(OpenAIModelName(model_name))
     elif model_name in (v for v in GroqSupportedModelName):
         return get_groq_model_info(GroqSupportedModelName(model_name))
-    elif model_name in (v for v in TogetherAIModelName):
-        return TOGETHERAI_MODEL_INFO_BY_NAME[TogetherAIModelName(model_name)]
     elif model_name in (v for v in GeminiModelName):
         return GEMINI_MODEL_INFO_BY_NAME[GeminiModelName(model_name)]
     else:
@@ -50,7 +48,6 @@ def get_all_model_names() -> list[str]:
     names.extend(list(v for v in AnthropicModelName))
     names.extend(list(v for v in OpenAIModelName))
     names.extend(list(v for v in GroqSupportedModelName))
-    names.extend(list(v for v in TogetherAIModelName))
     names.extend(list(v for v in GeminiModelName))
     return names
 
@@ -65,7 +62,6 @@ def get_formatted_model_name(model_name: str) -> str:
     - `models/gemini-1.5-flash-001` -> `gemini-1.5-flash-001`
     - 'groq/llama-3.3-70b-versatile' -> 'groq-llama-3.3-70b-versatile'
     - 'claude-3-5-haiku-20241022' -> 'claude-3-5-haiku-20241022'
-    - 'together/google/gemma-2-27b-it' -> 'together-google-gemma-2-27b-it'
 
     """
     if model_name.startswith("models/"):
diff --git a/vet/imbue_core/agents/llm_apis/together_api.py b/vet/imbue_core/agents/llm_apis/together_api.py
@@ -1,611 +0,0 @@
-import asyncio
-import enum
-import math
-from collections import defaultdict
-from contextlib import contextmanager
-from typing import AsyncGenerator
-from typing import Final
-from typing import Iterable
-from typing import Iterator
-from typing import Mapping
-from typing import cast
-
-from loguru import logger
-from pydantic.functional_validators import field_validator
-from together import AsyncTogether
-from together.abstract.api_requestor import APIRequestor
-from together.abstract.api_requestor import AioHTTPSession
-from together.error import APIConnectionError
-from together.error import APIError
-from together.error import AuthenticationError
-from together.error import InvalidRequestError
-from together.error import RateLimitError
-from together.error import ServiceUnavailableError
-from together.together_response import TogetherResponse
-from together.types import TogetherRequest
-from together.types.chat_completions import ChatCompletionResponse
-
-from vet.imbue_core.agents.llm_apis.data_types import CostedLanguageModelResponse
-from vet.imbue_core.agents.llm_apis.data_types import LanguageModelGenerationParams
-from vet.imbue_core.agents.llm_apis.data_types import LanguageModelResponseUsage
-from vet.imbue_core.agents.llm_apis.data_types import LanguageModelResponseWithLogits
-from vet.imbue_core.agents.llm_apis.data_types import ResponseStopReason
-from vet.imbue_core.agents.llm_apis.data_types import TokenProbability
-from vet.imbue_core.agents.llm_apis.errors import BadAPIRequestError
-from vet.imbue_core.agents.llm_apis.errors import LanguageModelInvalidModelNameError
-from vet.imbue_core.agents.llm_apis.errors import MissingAPIKeyError
-from vet.imbue_core.agents.llm_apis.errors import TransientLanguageModelError
-from vet.imbue_core.agents.llm_apis.language_model_api import LanguageModelAPI
-from vet.imbue_core.agents.llm_apis.models import ModelInfo
-from vet.imbue_core.agents.llm_apis.stream import LanguageModelStreamDeltaEvent
-from vet.imbue_core.agents.llm_apis.stream import LanguageModelStreamEndEvent
-from vet.imbue_core.agents.llm_apis.stream import LanguageModelStreamEvent
-from vet.imbue_core.agents.llm_apis.stream import LanguageModelStreamStartEvent
-from vet.imbue_core.frozen_utils import FrozenDict
-from vet.imbue_core.frozen_utils import FrozenMapping
-from vet.imbue_core.itertools import only
-from vet.imbue_core.secrets_utils import get_secret
-
-
-# This function is monkeypatched as the original method does not catch BaseExceptions and asyncio.CancelledErrors are BaseExceptions
-async def arequest(
-    self: APIRequestor,
-    options: TogetherRequest,
-    stream: bool = False,
-    request_timeout: float | tuple[float, float] | None = None,
-) -> tuple[TogetherResponse | AsyncGenerator[TogetherResponse, None], bool, str | None]:
-    ctx = AioHTTPSession()
-    session = await ctx.__aenter__()
-    result = None
-    try:
-        result = await self.arequest_raw(
-            options,
-            session,
-            request_timeout=request_timeout,
-        )
-        resp, got_stream = await self._interpret_async_response(result, stream)
-    except BaseException:
-        # Close the request before exiting session context.
-        if result is not None:
-            result.release()
-        await ctx.__aexit__(None, None, None)
-        raise
-    if got_stream:
-
-        async def wrap_resp() -> AsyncGenerator[TogetherResponse, None]:
-            assert isinstance(resp, AsyncGenerator)
-            try:
-                async for r in resp:
-                    yield r
-            finally:
-                # Close the request before exiting session context. Important to do it here
-                # as if stream is not fully exhausted, we need to close the request nevertheless.
-                result.release()
-                await ctx.__aexit__(None, None, None)
-
-        return wrap_resp(), got_stream, self.api_key
-    else:
-        # Close the request before exiting session context.
-        result.release()
-        await ctx.__aexit__(None, None, None)
-        return resp, got_stream, self.api_key
-
-
-APIRequestor.arequest = arequest  # pyre-fixme[8]: pyre is confused about this
-
-
-class TogetherAIModelName(enum.StrEnum):
-    GOOGLE_GEMMA_2_27B_IT = "together/google/gemma-2-27b-it"
-    GOOGLE_GEMMA_2_9B_IT = "together/google/gemma-2-9b-it"
-    GOOGLE_GEMMA_2B_IT = "together/google/gemma-2b-it"
-    META_LLAMA_3_2_3B_INSTRUCT_TURBO = "together/meta-llama/Llama-3.2-3B-Instruct-Turbo"
-    META_LLAMA_3_3_70B_INSTRUCT_TURBO = "together/meta-llama/Llama-3.3-70B-Instruct-Turbo"
-    META_LLAMA_3_70B_CHAT_HF = "together/meta-llama/Llama-3-70b-chat-hf"
-    META_LLAMA_3_8B_CHAT_HF = "together/meta-llama/Llama-3-8b-chat-hf"
-    META_LLAMA_3_1_405B_INSTRUCT_TURBO = "together/meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo"
-    META_LLAMA_3_1_70B_INSTRUCT_TURBO = "together/meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo"
-    META_LLAMA_3_1_8B_INSTRUCT_TURBO = "together/meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo"
-    META_LLAMA_3_70B_INSTRUCT_LITE = "together/meta-llama/Meta-Llama-3-70B-Instruct-Lite"
-    META_LLAMA_3_70B_INSTRUCT_TURBO = "together/meta-llama/Meta-Llama-3-70B-Instruct-Turbo"
-    META_LLAMA_3_8B_INSTRUCT_LITE = "together/meta-llama/Meta-Llama-3-8B-Instruct-Lite"
-    META_LLAMA_3_8B_INSTRUCT_TURBO = "together/meta-llama/Meta-Llama-3-8B-Instruct-Turbo"
-    MISTRALAI_MISTRAL_7B_INSTRUCT_V0_1 = "together/mistralai/Mistral-7B-Instruct-v0.1"
-    MISTRALAI_MISTRAL_7B_INSTRUCT_V0_2 = "together/mistralai/Mistral-7B-Instruct-v0.2"
-    MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3 = "together/mistralai/Mistral-7B-Instruct-v0.3"
-    MISTRALAI_MIXTRAL_8X22B_INSTRUCT_V0_1 = "together/mistralai/Mixtral-8x22B-Instruct-v0.1"
-    MISTRALAI_MIXTRAL_8X7B_INSTRUCT_V0_1 = "together/mistralai/Mixtral-8x7B-Instruct-v0.1"
-    NOUSRESEARCH_NOUS_HERMES_2_MIXTRAL_8X7B_DPO = "together/NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO"
-    DEEPSEEK_R1 = "together/deepseek-ai/DeepSeek-R1"
-    OPENAI_GPT_OSS_20B = "together/openai/gpt-oss-20b"
-    OPENAI_GPT_OSS_120B = "together/openai/gpt-oss-120b"
-    # TOGETHERCOMPUTER_LLAMA_3_8B_CHAT_HF_INT4 = "together/togethercomputer/Llama-3-8b-chat-hf-int4"
-    # TOGETHERCOMPUTER_LLAMA_3_8B_CHAT_HF_INT8 = "together/togethercomputer/Llama-3-8b-chat-hf-int8"
-
-
-# Rate limits for Together AI models based on published API documentation
-# Reference: https://docs.together.ai/docs/rate-limits
-# Using Tier 5 rate limits (6,000 RPM)
-
-TOGETHERAI_MODEL_INFO_BY_NAME: FrozenMapping[TogetherAIModelName, ModelInfo] = FrozenDict(
-    {
-        # ref https://docs.together.ai/docs/chat-models
-        # pricing ref https://www.together.ai/pricing
-        TogetherAIModelName.GOOGLE_GEMMA_2_27B_IT: ModelInfo(
-            model_name=str(TogetherAIModelName.GOOGLE_GEMMA_2_27B_IT),
-            cost_per_input_token=0.8 / 1_000_000,
-            cost_per_output_token=0.8 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.GOOGLE_GEMMA_2_9B_IT: ModelInfo(
-            model_name=str(TogetherAIModelName.GOOGLE_GEMMA_2_9B_IT),
-            cost_per_input_token=0.3 / 1_000_000,
-            cost_per_output_token=0.3 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.GOOGLE_GEMMA_2B_IT: ModelInfo(
-            model_name=str(TogetherAIModelName.GOOGLE_GEMMA_2B_IT),
-            cost_per_input_token=0.1 / 1_000_000,
-            cost_per_output_token=0.1 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_2_3B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_2_3B_INSTRUCT_TURBO),
-            cost_per_input_token=0.06 / 1_000_000,
-            cost_per_output_token=0.06 / 1_000_000,
-            max_input_tokens=131072,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_3_70B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_3_70B_INSTRUCT_TURBO),
-            cost_per_input_token=0.88 / 1_000_000,
-            cost_per_output_token=0.88 / 1_000_000,
-            max_input_tokens=131072,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_70B_CHAT_HF: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_70B_CHAT_HF),
-            cost_per_input_token=0.88 / 1_000_000,
-            cost_per_output_token=0.88 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_8B_CHAT_HF: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_8B_CHAT_HF),
-            cost_per_input_token=0.2 / 1_000_000,
-            cost_per_output_token=0.2 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_1_405B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_1_405B_INSTRUCT_TURBO),
-            cost_per_input_token=3.5 / 1_000_000,
-            cost_per_output_token=3.5 / 1_000_000,
-            max_input_tokens=130815,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_1_70B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_1_70B_INSTRUCT_TURBO),
-            cost_per_input_token=0.88 / 1_000_000,
-            cost_per_output_token=0.88 / 1_000_000,
-            max_input_tokens=131072,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_1_8B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_1_8B_INSTRUCT_TURBO),
-            cost_per_input_token=0.18 / 1_000_000,
-            cost_per_output_token=0.18 / 1_000_000,
-            max_input_tokens=131072,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_70B_INSTRUCT_LITE: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_70B_INSTRUCT_LITE),
-            cost_per_input_token=0.54 / 1_000_000,
-            cost_per_output_token=0.54 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_70B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_70B_INSTRUCT_TURBO),
-            cost_per_input_token=0.88 / 1_000_000,
-            cost_per_output_token=0.88 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_8B_INSTRUCT_LITE: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_8B_INSTRUCT_LITE),
-            cost_per_input_token=0.1 / 1_000_000,
-            cost_per_output_token=0.1 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.META_LLAMA_3_8B_INSTRUCT_TURBO: ModelInfo(
-            model_name=str(TogetherAIModelName.META_LLAMA_3_8B_INSTRUCT_TURBO),
-            cost_per_input_token=0.18 / 1_000_000,
-            cost_per_output_token=0.18 / 1_000_000,
-            max_input_tokens=8192,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.MISTRALAI_MISTRAL_7B_INSTRUCT_V0_1: ModelInfo(
-            model_name=str(TogetherAIModelName.MISTRALAI_MISTRAL_7B_INSTRUCT_V0_1),
-            cost_per_input_token=0.2 / 1_000_000,
-            cost_per_output_token=0.2 / 1_000_000,
-            max_input_tokens=32768,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.MISTRALAI_MISTRAL_7B_INSTRUCT_V0_2: ModelInfo(
-            model_name=str(TogetherAIModelName.MISTRALAI_MISTRAL_7B_INSTRUCT_V0_2),
-            cost_per_input_token=0.2 / 1_000_000,
-            cost_per_output_token=0.2 / 1_000_000,
-            max_input_tokens=32768,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3: ModelInfo(
-            model_name=str(TogetherAIModelName.MISTRALAI_MISTRAL_7B_INSTRUCT_V0_3),
-            cost_per_input_token=0.2 / 1_000_000,
-            cost_per_output_token=0.2 / 1_000_000,
-            max_input_tokens=32768,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.MISTRALAI_MIXTRAL_8X22B_INSTRUCT_V0_1: ModelInfo(
-            model_name=str(TogetherAIModelName.MISTRALAI_MIXTRAL_8X22B_INSTRUCT_V0_1),
-            cost_per_input_token=1.2 / 1_000_000,
-            cost_per_output_token=1.2 / 1_000_000,
-            max_input_tokens=65536,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.MISTRALAI_MIXTRAL_8X7B_INSTRUCT_V0_1: ModelInfo(
-            model_name=str(TogetherAIModelName.MISTRALAI_MIXTRAL_8X7B_INSTRUCT_V0_1),
-            cost_per_input_token=0.6 / 1_000_000,
-            cost_per_output_token=0.6 / 1_000_000,
-            max_input_tokens=32768,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.NOUSRESEARCH_NOUS_HERMES_2_MIXTRAL_8X7B_DPO: ModelInfo(
-            model_name=str(TogetherAIModelName.NOUSRESEARCH_NOUS_HERMES_2_MIXTRAL_8X7B_DPO),
-            cost_per_input_token=0.6 / 1_000_000,
-            cost_per_output_token=0.6 / 1_000_000,
-            max_input_tokens=32768,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.DEEPSEEK_R1: ModelInfo(
-            model_name=str(TogetherAIModelName.DEEPSEEK_R1),
-            cost_per_input_token=3.0 / 1_000_000,
-            cost_per_output_token=7.0 / 1_000_000,
-            max_input_tokens=32768,
-            max_output_tokens=None,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.OPENAI_GPT_OSS_20B: ModelInfo(
-            model_name=str(TogetherAIModelName.OPENAI_GPT_OSS_20B),
-            cost_per_input_token=0.00 / 1_000_000,
-            cost_per_output_token=0.00 / 1_000_000,
-            max_input_tokens=131_072,
-            max_output_tokens=131_072,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-        TogetherAIModelName.OPENAI_GPT_OSS_120B: ModelInfo(
-            model_name=str(TogetherAIModelName.OPENAI_GPT_OSS_120B),
-            cost_per_input_token=0.00 / 1_000_000,
-            cost_per_output_token=0.00 / 1_000_000,
-            max_input_tokens=131_072,
-            max_output_tokens=131_072,
-            rate_limit_req=6000 / 60,  # 6000 RPM = 100.00 RPS
-        ),
-    }
-)
-
-
-def _default_capacity_semaphor() -> asyncio.Semaphore:
-    return asyncio.Semaphore(100)
-
-
-_CAPACITY_SEMAPHOR_BY_MODEL_NAME: Mapping[str, asyncio.Semaphore] = defaultdict(_default_capacity_semaphor)
-
-
-_ROLE_TO_TOGETHERAI_ROLE: Final[FrozenMapping] = FrozenDict(
-    {
-        "HUMAN": "user",
-        "ASSISTANT": "assistant",
-        "SYSTEM": "system",
-        "SYSTEM_CACHED": "system",
-        "USER": "user",
-        "USER_CACHED": "user",
-    }
-)
-
-# ref: https://github.com/togethercomputer/together-python/blob/main/src/together/types/common.py#L13
-_TOGETHERAI_STOP_REASON_TO_STOP_REASON: Final[FrozenMapping[str, ResponseStopReason]] = FrozenDict(
-    {
-        "length": ResponseStopReason.MAX_TOKENS,
-        # This is a little sketchy, we treat them the same since we don't know which models emit stop sequence reasons
-        # Since we don't want to break downstream applications that may require ending in the stop sequence
-        # This is similar to how openai models are treated
-        "stop": ResponseStopReason.END_TURN,
-        "eos": ResponseStopReason.END_TURN,
-        "tool_calls": ResponseStopReason.TOOL_CALLS,
-        "error": ResponseStopReason.ERROR,
-        "None": ResponseStopReason.NONE,
-    }
-)
-
-
-def convert_prompt_to_together_messages(prompt: str) -> list[dict[str, str]]:
-    prompt = prompt.lstrip()
-    assert prompt.endswith("\n[ROLE=ASSISTANT]\n"), "prompt must end with [ROLE=ASSISTANT], prompt=\n" + prompt
-    prompt = "".join(prompt.rsplit("\n[ROLE=ASSISTANT]\n", 1))
-    assert prompt.startswith("[ROLE=")
-    prompt = prompt.replace("[ROLE=", "", 1)
-    chunks = prompt.split("\n[ROLE=")
-    messages: list[dict[str, str]] = []
-    for chunk in chunks:
-        lines = chunk.split("\n")
-        role = lines[0].strip().rstrip("]")
-        assert role in (
-            "HUMAN",
-            "ASSISTANT",
-            "USER",
-            "SYSTEM",
-            "SYSTEM_CACHED",
-            "USER_CACHED",
-        ), f"Unknown role {role} in prompt {prompt}"
-        lines.pop(0)
-        if len(messages) > 0:
-            messages[-1]["content"] = messages[-1]["content"] + "\n"
-        messages.append({"role": _ROLE_TO_TOGETHERAI_ROLE[role], "content": "\n".join(lines)})
-    return messages
-
-
-@contextmanager
-def _together_exception_manager() -> Iterator[None]:
-    """Simple context manager for parsing TogetherAI API exceptions."""
-    # ref https://github.com/togethercomputer/together-python/blob/main/src/together/abstract/api_requestor.py#L332
-    try:
-        yield
-    except RateLimitError as e:
-        logger.info("Rate limited? {}", e)
-        raise TransientLanguageModelError("RateLimitError") from e
-    except InvalidRequestError as e:
-        logger.info("BadAPIRequestError {}", e)
-        raise BadAPIRequestError(str(e)) from e
-    except AuthenticationError as e:
-        logger.info("API Authentication error {}", e)
-        raise
-    except APIError as e:
-        logger.info("Received APIError {}", e)
-        raise
-    except ServiceUnavailableError as e:
-        logger.info("Received ServiceUnavailableError {}", e)
-        raise TransientLanguageModelError("ServiceUnavailableError") from e
-    except APIConnectionError as e:
-        logger.info("Received APIConnectionError {}", e)
-        raise TransientLanguageModelError("APIConnectionError") from e
-    # Note, the together python SDK uses aiohttp under the hood
-    # but takes care of parsing the main aiohttp exceptions into together API exceptions
-    # ref https://github.com/togethercomputer/together-python/blob/main/src/together/abstract/api_requestor.py#L554
-
-
-class TogetherAPI(LanguageModelAPI):
-    model_name: TogetherAIModelName = TogetherAIModelName.META_LLAMA_3_1_8B_INSTRUCT_TURBO
-    is_conversational: bool = True
-    presence_penalty: float = 0.0
-    # this shouldn't really ever even be used, but just in case
-    stop_token_log_probability: float = math.log(0.9999)
-
-    @field_validator("model_name")  # pyre-ignore[56]: pyre doesn't understand pydantic
-    @classmethod
-    def validate_model_name(cls, v: str) -> str:
-        if v not in TOGETHERAI_MODEL_INFO_BY_NAME:
-            raise LanguageModelInvalidModelNameError(v, cls.__name__, list(TOGETHERAI_MODEL_INFO_BY_NAME))
-        return v
-
-    @property
-    def model_info(self) -> ModelInfo:
-        return TOGETHERAI_MODEL_INFO_BY_NAME[self.model_name]
-
-    @property
-    def external_model_name(self) -> str:
-        return self.model_name.replace("together/", "")
-
-    def _get_client(self) -> AsyncTogether:
-        api_key = get_secret("TOGETHER_API_KEY")
-        if not api_key:
-            raise MissingAPIKeyError("TOGETHER_API_KEY environment variable is not set")
-        return AsyncTogether(api_key=api_key)
-
-    async def _call_api(
-        self,
-        prompt: str,
-        params: LanguageModelGenerationParams,
-        network_failure_count: int = 0,
-    ) -> CostedLanguageModelResponse:
-        if params.max_tokens is None:
-            logger.debug(
-                "Togetherai API breaks if `max_tokens` not specified. Defaulting to `max_tokens=512`, make sure to specify this if you want something different."
-            )
-            params.max_tokens = 512
-
-        with _together_exception_manager():
-            messages = convert_prompt_to_together_messages(prompt)
-            client = self._get_client()
-            async with _CAPACITY_SEMAPHOR_BY_MODEL_NAME[self.model_name]:
-                # ref: https://github.com/togethercomputer/together-python/blob/main/src/together/resources/chat/completions.py#L153
-                api_result = await client.chat.completions.create(
-                    model=self.external_model_name,
-                    messages=messages,
-                    max_tokens=params.max_tokens,
-                    stop=[params.stop] if params.stop else None,
-                    temperature=params.temperature,
-                    top_k=5,
-                    presence_penalty=self.presence_penalty,
-                    stream=False,
-                    logprobs=True,
-                    n=params.count,
-                    # currently don't specify this since tokenizer may change between models
-                    logit_bias=None,
-                )
-                assert isinstance(api_result, ChatCompletionResponse)
-
-        results = []
-        choices = api_result.choices
-        assert choices is not None
-        for data in choices:
-            message = data.message
-            assert message is not None
-            text = message.content
-            assert text is not None
-            assert isinstance(text, str)  # TODO: this is suspicious
-
-            # TogetherAI only provides the logprob for the selected token
-            logprobs = data.logprobs
-            assert logprobs is not None
-            tokens = logprobs.tokens
-            token_logprobs = logprobs.token_logprobs
-            assert tokens is not None and token_logprobs is not None
-            assert all(token is not None for token in tokens)
-            assert all(logprob is not None for logprob in token_logprobs)
-            tokens = cast(Iterable[str], tokens)
-            token_logprobs = cast(Iterable[float], token_logprobs)
-            token_probabilities = [
-                (TokenProbability(token=token, log_probability=logprob, is_stop=False),)
-                for token, logprob in zip(tokens, token_logprobs)
-            ]
-
-            if data.finish_reason:
-                stop_reason = _TOGETHERAI_STOP_REASON_TO_STOP_REASON[data.finish_reason.value]
-            else:
-                stop_reason = ResponseStopReason.NONE
-            stop = params.stop
-            if stop is not None and stop_reason == ResponseStopReason.END_TURN:
-                text += stop
-                token_probabilities.append(
-                    (
-                        TokenProbability(
-                            token=stop,
-                            log_probability=self.stop_token_log_probability,
-                            is_stop=True,
-                        ),
-                    )
-                )
-            result = LanguageModelResponseWithLogits(
-                text=text,
-                token_probabilities=tuple(token_probabilities),
-                token_count=len(token_probabilities),
-                stop_reason=stop_reason,
-                network_failure_count=network_failure_count,
-            )
-            results.append(result)
-
-        logger.trace("text: " + results[0].text)
-        if api_result.usage is not None:
-            completion_tokens = api_result.usage.completion_tokens
-            prompt_tokens = api_result.usage.prompt_tokens
-        else:
-            completion_tokens = 0
-            prompt_tokens = 0
-        dollars_used = self.calculate_cost(prompt_tokens, completion_tokens)
-        logger.trace("dollars used: {}", dollars_used)
-        return CostedLanguageModelResponse(
-            usage=LanguageModelResponseUsage(
-                prompt_tokens_used=prompt_tokens,
-                completion_tokens_used=completion_tokens,
-                dollars_used=dollars_used,
-            ),
-            responses=tuple(results),
-        )
-
-    async def _get_api_stream(
-        self,
-        prompt: str,
-        params: LanguageModelGenerationParams,
-    ) -> AsyncGenerator[LanguageModelStreamEvent, None]:
-        if params.max_tokens is None:
-            logger.debug(
-                "Togetherai API breaks if `max_tokens` not specified. Defaulting to `max_tokens=512`, make sure to specify this if you want something different."
-            )
-            params.max_tokens = 512
-
-        with _together_exception_manager():
-            messages = convert_prompt_to_together_messages(prompt)
-            client = self._get_client()
-            async with _CAPACITY_SEMAPHOR_BY_MODEL_NAME[self.model_name]:
-                # ref: https://github.com/togethercomputer/together-python/blob/main/src/together/resources/chat/completions.py#L153
-                api_result = await client.chat.completions.create(
-                    model=self.external_model_name,
-                    messages=messages,
-                    max_tokens=params.max_tokens,
-                    stop=[params.stop] if params.stop else None,
-                    temperature=params.temperature,
-                    top_k=5,
-                    presence_penalty=self.presence_penalty,
-                    stream=True,
-                    # currently we don't support logprobs with streaming
-                    logprobs=False,
-                    n=1,
-                    # currently don't specify this since tokenizer may change between models
-                    logit_bias=None,
-                )
-                assert isinstance(api_result, AsyncGenerator)
-
-            yield LanguageModelStreamStartEvent()
-
-            usage = None
-            finish_reason: str | None = None
-            async for chunk in api_result:
-                if chunk.usage:
-                    usage = chunk.usage
-
-                if chunk.finish_reason:
-                    finish_reason = chunk.finish_reason.value
-
-                chunk_choices = chunk.choices
-                if chunk_choices:
-                    assert len(chunk_choices) == 1, "Currently only count=1 supported for streaming API."
-                    delta = only(chunk_choices).delta
-                    if delta and delta.content:
-                        yield LanguageModelStreamDeltaEvent(delta=delta.content)
-
-            stop_reason = _TOGETHERAI_STOP_REASON_TO_STOP_REASON[str(finish_reason)]
-
-            if params.stop is not None and stop_reason == ResponseStopReason.END_TURN:
-                yield LanguageModelStreamDeltaEvent(delta=params.stop)
-
-            if usage is not None:
-                completion_tokens = usage.completion_tokens
-                prompt_tokens = usage.prompt_tokens
-            else:
-                completion_tokens = 0
-                prompt_tokens = 0
-            dollars_used = self.calculate_cost(prompt_tokens, completion_tokens)
-            logger.trace("dollars used: {}", dollars_used)
-
-            yield LanguageModelStreamEndEvent(
-                usage=LanguageModelResponseUsage(
-                    prompt_tokens_used=prompt_tokens,
-                    completion_tokens_used=completion_tokens,
-                    dollars_used=dollars_used,
-                ),
-                stop_reason=stop_reason,
-            )

	vet Unnamed repository; edit this file 'description' to name the repository.
	Log \| Files \| Refs \| README \| LICENSE

M	pyproject.toml	\|	1	-
M	uv.lock	\|	240	-------------------------------------------------------------------------------
M	vet/cli/models.py	\|	2	--
M	vet/cli/models_test.py	\|	1	-
M	vet/imbue_core/agents/llm_apis/build_apis.py	\|	14	--------------
M	vet/imbue_core/agents/llm_apis/common.py	\|	12	++++--------
D	vet/imbue_core/agents/llm_apis/together_api.py	\|	611	-------------------------------------------------------------------------------