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Add Moonshot AI Kimi-K2 model to recommended models (#9706)
Co-authored-by: openhands <openhands@all-hands.dev> Co-authored-by: mamoodi <mamoodiha@gmail.com> Co-authored-by: Xingyao Wang <xingyao@all-hands.dev>
This commit is contained in:
Graham Neubig
GitHub
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commit
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@ -67,6 +67,7 @@
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"usage/llms/groq",
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"usage/llms/local-llms",
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"usage/llms/litellm-proxy",
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"usage/llms/moonshot",
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"usage/llms/openai-llms",
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"usage/llms/openrouter"
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]
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@ -20,6 +20,7 @@ Based on these findings and community feedback, these are the latest models that
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- [openai/o4-mini](https://openai.com/index/introducing-o3-and-o4-mini/)
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- [gemini/gemini-2.5-pro](https://blog.google/technology/google-deepmind/gemini-model-thinking-updates-march-2025/)
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- [deepseek/deepseek-chat](https://api-docs.deepseek.com/)
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- [moonshot/kimi-k2-0711-preview](https://platform.moonshot.ai/docs/pricing/chat#generation-model-kimi-k2)
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If you have successfully run OpenHands with specific providers, we encourage you to open a PR to share your setup process
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to help others using the same provider!
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@ -70,6 +71,7 @@ We have a few guides for running OpenHands with specific model providers:
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- [Groq](/usage/llms/groq)
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- [Local LLMs with SGLang or vLLM](/usage/llms/local-llms)
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- [LiteLLM Proxy](/usage/llms/litellm-proxy)
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- [Moonshot AI](/usage/llms/moonshot)
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- [OpenAI](/usage/llms/openai-llms)
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- [OpenRouter](/usage/llms/openrouter)
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25
docs/usage/llms/moonshot.mdx
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docs/usage/llms/moonshot.mdx
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@ -0,0 +1,25 @@
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---
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title: Moonshot AI
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description: How to use Moonshot AI models with OpenHands
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---
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## Using Moonshot AI with OpenHands
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[Moonshot AI](https://platform.moonshot.ai/) offers several powerful models, including Kimi-K2, which has been verified to work well with OpenHands.
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### Setup
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1. Sign up for an account at [Moonshot AI Platform](https://platform.moonshot.ai/)
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2. Generate an API key from your account settings
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3. Configure OpenHands to use Moonshot AI:
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| Setting | Value |
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| --- | --- |
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| LLM Provider | `moonshot` |
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| LLM Model | `kimi-k2-0711-preview` |
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| API Key | Your Moonshot API key |
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### Recommended Models
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- `moonshot/kimi-k2-0711-preview` - Kimi-K2 is Moonshot's most powerful model with a 131K context window, function calling support, and web search capabilities.
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12
poetry.lock
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12
poetry.lock
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@ -5078,14 +5078,14 @@ types-tqdm = "*"
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[[package]]
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name = "litellm"
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version = "1.72.7"
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version = "1.74.4"
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description = "Library to easily interface with LLM API providers"
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optional = false
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python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
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groups = ["main"]
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files = [
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{file = "litellm-1.72.7-py3-none-any.whl", hash = "sha256:704317ca71b00ca7fb164e8367e6559712605ed7f96f6d7fdb8b1276904a95e9"},
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{file = "litellm-1.72.7.tar.gz", hash = "sha256:9bfdc156ebd8cb2fc869e0a388931b64468c4fd534df6a2f6e27f9cba2dafcb9"},
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{file = "litellm-1.74.4-py3-none-any.whl", hash = "sha256:28de09c9d4cdbe322402f94236ec8dbac9edc5356e2f3b628b9bab0fb39284e4"},
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{file = "litellm-1.74.4.tar.gz", hash = "sha256:ace3dd8c052b57b728a2dbd38e7061cf95e3506b13a58c61da39902f6ee4a6be"},
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]
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[package.dependencies]
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@ -5096,7 +5096,7 @@ importlib-metadata = ">=6.8.0"
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jinja2 = ">=3.1.2,<4.0.0"
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jsonschema = ">=4.22.0,<5.0.0"
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openai = ">=1.68.2"
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pydantic = ">=2.0.0,<3.0.0"
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pydantic = ">=2.5.0,<3.0.0"
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python-dotenv = ">=0.2.0"
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tiktoken = ">=0.7.0"
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tokenizers = "*"
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@ -5104,7 +5104,7 @@ tokenizers = "*"
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[package.extras]
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caching = ["diskcache (>=5.6.1,<6.0.0)"]
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extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "redisvl (>=0.4.1,<0.5.0) ; python_version >= \"3.9\" and python_version < \"3.14\"", "resend (>=0.8.0,<0.9.0)"]
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proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "boto3 (==1.34.34)", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=23.0.0,<24.0.0)", "litellm-enterprise (==0.1.7)", "litellm-proxy-extras (==0.2.5)", "mcp (==1.9.3) ; python_version >= \"3.10\"", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rich (==13.7.1)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop (>=0.21.0,<0.22.0) ; sys_platform != \"win32\"", "websockets (>=13.1.0,<14.0.0)"]
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proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "azure-identity (>=1.15.0,<2.0.0)", "azure-storage-blob (>=12.25.1,<13.0.0)", "backoff", "boto3 (==1.34.34)", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=23.0.0,<24.0.0)", "litellm-enterprise (==0.1.13)", "litellm-proxy-extras (==0.2.10)", "mcp (==1.10.0) ; python_version >= \"3.10\"", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rich (==13.7.1)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop (>=0.21.0,<0.22.0) ; sys_platform != \"win32\"", "websockets (>=13.1.0,<14.0.0)"]
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utils = ["numpydoc"]
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[[package]]
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@ -11790,4 +11790,4 @@ third-party-runtimes = ["daytona", "e2b", "modal", "runloop-api-client"]
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[metadata]
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lock-version = "2.1"
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python-versions = "^3.12,<3.14"
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content-hash = "8af146b6bbc131f9f4d8d6c5098865cc4f4aadaeb0158b97665b86295a246d5c"
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content-hash = "d219a686c03bbae18b369bf79d34fc847b7e0191343d3264c28d2f713f5241a3"
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@ -25,7 +25,7 @@ build = "build_vscode.py" # Build VSCode extension during Poetry build
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[tool.poetry.dependencies]
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python = "^3.12,<3.14"
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litellm = "^1.60.0, !=1.64.4, !=1.67.*" # avoid 1.64.4 (known bug) & 1.67.* (known bug #10272)
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litellm = "^1.74.3, !=1.64.4, !=1.67.*" # avoid 1.64.4 (known bug) & 1.67.* (known bug #10272)
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aiohttp = ">=3.9.0,!=3.11.13" # Pin to avoid yanked version 3.11.13
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google-generativeai = "*" # To use litellm with Gemini Pro API
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google-api-python-client = "^2.164.0" # For Google Sheets API
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