f10440b49c
* fix: migrate Anthropic Haiku test model off retired release Update Anthropic Haiku references in integration and usage parsing tests to a supported model id so test requests stop failing with 404 model not found errors. 👾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> * fix: use canonical Anthropic Haiku handle in tests Replace dated Anthropic Haiku handle references with the canonical provider handle so handle-based model resolution does not fail in batch and client tests. 👾 Generated with [Letta Code](https://letta.com) Co-Authored-By: Letta <noreply@letta.com> --------- Co-authored-by: Letta <noreply@letta.com>
40 lines
1.8 KiB
Python
40 lines
1.8 KiB
Python
from typing import Dict
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LLM_HANDLE_OVERRIDES: Dict[str, Dict[str, str]] = {
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"anthropic": {
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"claude-3-5-haiku-20241022": "claude-3-5-haiku",
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"claude-haiku-4-5-20251001": "claude-haiku-4-5",
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"claude-3-5-sonnet-20241022": "claude-3-5-sonnet",
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"claude-3-opus-20240229": "claude-3-opus",
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},
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"openai": {
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"chatgpt-4o-latest": "chatgpt-4o",
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"gpt-3.5-turbo": "gpt-3.5-turbo",
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"gpt-3.5-turbo-0125": "gpt-3.5-turbo-jan",
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"gpt-3.5-turbo-1106": "gpt-3.5-turbo-nov",
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"gpt-3.5-turbo-16k": "gpt-3.5-turbo-16k",
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"gpt-3.5-turbo-instruct": "gpt-3.5-turbo-instruct",
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"gpt-4-0125-preview": "gpt-4-preview-jan",
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"gpt-4-0613": "gpt-4-june",
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"gpt-4-1106-preview": "gpt-4-preview-nov",
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"gpt-4-turbo-2024-04-09": "gpt-4-turbo-apr",
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"gpt-4o-2024-05-13": "gpt-4o-may",
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"gpt-4o-2024-08-06": "gpt-4o-aug",
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"gpt-4o-mini-2024-07-18": "gpt-4o-mini-jul",
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},
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"together": {
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"Qwen/Qwen2.5-72B-Instruct-Turbo": "qwen-2.5-72b-instruct",
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"meta-llama/Llama-3-70b-chat-hf": "llama-3-70b",
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"meta-llama/Meta-Llama-3-70B-Instruct-Turbo": "llama-3-70b-instruct",
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"meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo": "llama-3.1-405b-instruct",
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"meta-llama/Meta-Llama-3.1-70B-Instruct-Turbo": "llama-3.1-70b-instruct",
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"meta-llama/Llama-3.3-70B-Instruct-Turbo": "llama-3.3-70b-instruct",
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"mistralai/Mistral-7B-Instruct-v0.2": "mistral-7b-instruct-v2",
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"mistralai/Mistral-7B-Instruct-v0.3": "mistral-7b-instruct-v3",
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"mistralai/Mixtral-8x22B-Instruct-v0.1": "mixtral-8x22b-instruct",
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"mistralai/Mixtral-8x7B-Instruct-v0.1": "mixtral-8x7b-instruct",
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"mistralai/Mixtral-8x7B-v0.1": "mixtral-8x7b",
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"NousResearch/Nous-Hermes-2-Mixtral-8x7B-DPO": "hermes-2-mixtral",
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},
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}
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