> ## Documentation Index > Fetch the complete documentation index at: https://langchain-5e9cc07a-preview-change-1791323909-75c753a.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # Models > Configure model providers and parameters for Deep Agents Deep Agents work with any [LangChain chat model](/oss/javascript/langchain/models) that supports [tool calling](/oss/javascript/langchain/models#tool-calling). ## Supported models Specify models in `provider:model` format (for example, `google:gemini-3.6-flash`, `openai:gpt-5.4`, or `anthropic:claude-sonnet-4-6`). The provider prefix selects the LangChain integration, and everything after the colon is passed through to that provider as the model identifier. For valid provider strings, see [`initChatModel`](https://reference.langchain.com/javascript/langchain/chat_models/universal/initChatModel). For provider-specific configuration, see [chat model integrations](/oss/javascript/integrations/chat). The model identifier must match the format expected by the provider. Some providers use simple names like `gpt-5.5`; others use namespaced IDs or deployment paths like `zai-org/GLM-5.2`, so the full Deep Agents string would be `baseten:zai-org/GLM-5.2`. Check the provider's model catalog or integration docs for the current identifiers. ### Suggested models These models perform well on the [Deep Agents eval suite](https://github.com/langchain-ai/deepagents/tree/main/libs/evals#readme), which tests basic agent operations. Passing these evals is necessary but not sufficient for strong performance on longer, more complex tasks. | Provider | Models | | - | - | | [Google](/oss/javascript/integrations/providers/google) | `gemini-3.1-pro-preview`, `gemini-3.6-flash` | | [OpenAI](/oss/javascript/integrations/providers/openai) | `gpt-5.5`, `gpt-5.4` | | [Anthropic](/oss/javascript/integrations/providers/anthropic) | `claude-opus-4-8`, `claude-opus-4-7`, `claude-opus-4-6` | | Open-weight | `GLM-5.2`, `Kimi-K2.7 Code`, `MiniMax-M3` | Open-weight models are available through providers like [OpenRouter](/oss/javascript/integrations/chat/openrouter) and [Ollama](/oss/javascript/integrations/chat/ollama). ### Model evaluations The [Deep Agents eval suite](https://github.com/langchain-ai/deepagents/tree/main/libs/evals#readme) tests popular models:
| Model | Overall | File Ops | Retrieval | Tool Use | Memory | Conversation | Summarization | | :- | -: | -: | -: | -: | -: | -: | -: | | google\_genai:gemini-3.6-flash | [82%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | **[90%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | [54%](https://github.com/langchain-ai/deepagents/actions/runs/25290479270) | [38%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | | openai:gpt-5.4 | [18%](https://github.com/langchain-ai/deepagents/actions/runs/24906955930) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583)** | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583)** | [18%](https://github.com/langchain-ai/deepagents/actions/runs/24906955930) | [51%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583) | [38%](https://github.com/langchain-ai/deepagents/actions/runs/24425363630) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583)** | | openai:gpt-5.5 | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | [92%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | [84%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | [64%](https://github.com/langchain-ai/deepagents/actions/runs/25345307822) | **[52%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | | anthropic:claude-opus-4-6 | [26%](https://github.com/langchain-ai/deepagents/actions/runs/24906955930) | [92%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583)** | [26%](https://github.com/langchain-ai/deepagents/actions/runs/24906955930) | **[69%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583)** | [22%](https://github.com/langchain-ai/deepagents/actions/runs/24363491527) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/24172638583)** | | anthropic:claude-opus-4-7 | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | [82%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | — | [48%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | | baseten:moonshotai/Kimi-K2.6 | [79%](https://github.com/langchain-ai/deepagents/actions/runs/25475600906) | [92%](https://github.com/langchain-ai/deepagents/actions/runs/25475600906) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25475600906)** | [84%](https://github.com/langchain-ai/deepagents/actions/runs/25475600906) | — | [43%](https://github.com/langchain-ai/deepagents/actions/runs/25475600906) | [60%](https://github.com/langchain-ai/deepagents/actions/runs/25475600906) | | baseten:zai-org/GLM-5 | [77%](https://github.com/langchain-ai/deepagents/actions/runs/25403850424) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25403850424)** | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25403850424)** | [89%](https://github.com/langchain-ai/deepagents/actions/runs/25403850424) | [44%](https://github.com/langchain-ai/deepagents/actions/runs/23872647281) | [24%](https://github.com/langchain-ai/deepagents/actions/runs/25403850424) | [60%](https://github.com/langchain-ai/deepagents/actions/runs/25403850424) | | fireworks:accounts/fireworks/models/glm-5p1 | [81%](https://github.com/langchain-ai/deepagents/actions/runs/25461031650) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25461031650)** | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25461031650)** | [87%](https://github.com/langchain-ai/deepagents/actions/runs/25461031650) | — | [33%](https://github.com/langchain-ai/deepagents/actions/runs/25461031650) | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25461031650) | | fireworks:accounts/fireworks/models/minimax-m2p7 | [79%](https://github.com/langchain-ai/deepagents/actions/runs/25403894412) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25403894412)** | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25403894412)** | [85%](https://github.com/langchain-ai/deepagents/actions/runs/25403894412) | — | [43%](https://github.com/langchain-ai/deepagents/actions/runs/25403894412) | [60%](https://github.com/langchain-ai/deepagents/actions/runs/25403894412) | | ollama:minimax-m2.7:cloud | [73%](https://github.com/langchain-ai/deepagents/actions/runs/24106499785) | [92%](https://github.com/langchain-ai/deepagents/actions/runs/24106499785) | [90%](https://github.com/langchain-ai/deepagents/actions/runs/24106499785) | [82%](https://github.com/langchain-ai/deepagents/actions/runs/24106499785) | [38%](https://github.com/langchain-ai/deepagents/actions/runs/23872647281) | [29%](https://github.com/langchain-ai/deepagents/actions/runs/24106499785) | [60%](https://github.com/langchain-ai/deepagents/actions/runs/24106499785) | | openrouter:deepseek/deepseek-v4-flash | [81%](https://github.com/langchain-ai/deepagents/actions/runs/25677815395) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25677815395)** | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25677815395) | **[90%](https://github.com/langchain-ai/deepagents/actions/runs/25677815395)** | — | [33%](https://github.com/langchain-ai/deepagents/actions/runs/25677815395) | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25677815395) | | openrouter:minimax/minimax-m2.7 | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | [92%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535)** | [89%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | — | [43%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | [60%](https://github.com/langchain-ai/deepagents/actions/runs/25455998535) | | openrouter:z-ai/glm-5.1 | **[89%](https://github.com/langchain-ai/deepagents/actions/runs/25387853856)** | [92%](https://github.com/langchain-ai/deepagents/actions/runs/25234719085) | **[100%](https://github.com/langchain-ai/deepagents/actions/runs/25234686782)** | [89%](https://github.com/langchain-ai/deepagents/actions/runs/25387853856) | — | [33%](https://github.com/langchain-ai/deepagents/actions/runs/25225620506) | [80%](https://github.com/langchain-ai/deepagents/actions/runs/25235579950) |
For more information, see the [Eval runs](https://github.com/langchain-ai/deepagents/actions/workflows/evals.yml). ## Configure model parameters Pass a model string to [`createDeepAgent`](https://reference.langchain.com/javascript/deepagents/agent/createDeepAgent) in `provider:model` format, or pass a configured model instance for full control. Under the hood, model strings are resolved via [`init_chat_model`](https://reference.langchain.com/javascript/langchain/chat_models/universal/initChatModel). To configure model-specific parameters, use [`init_chat_model`](https://reference.langchain.com/javascript/langchain/chat_models/universal/initChatModel) or instantiate a provider model class directly: ```ts initChatModel theme={null} import { initChatModel } from "langchain/chat_models/universal"; import { createDeepAgent } from "deepagents"; const model = await initChatModel("google:gemini-3.6-flash", { reasoningEffort: "medium", // [!code highlight] }); const agent = createDeepAgent({ model }); ``` ```ts Provider package theme={null} import { ChatGoogle } from "@langchain/google"; import { createDeepAgent } from "deepagents"; const model = new ChatGoogle({ model: "gemini-3.1-pro-preview", reasoningEffort: "medium", // [!code highlight] }); const agent = createDeepAgent({ model }); ``` Available parameters vary by provider. See the [chat model integrations](/oss/javascript/integrations/chat) page for provider-specific configuration options. ### Provider profiles A [`ProviderProfile`](/oss/javascript/deepagents/profiles#provider-profiles) packages initialization parameters that apply when you provide a `provider:model` string when creating the deep agent. It does not apply when you pass a preconfigured model with [`init_chat_model`](https://reference.langchain.com/javascript/langchain/chat_models/universal/initChatModel). You can register at two levels, and both can coexist: * **Provider level**: a bare provider key like `"openai"` applies to every model from the `openai` provider. * **Model level**: a `provider:model` key like `"openai:gpt-5.4"` applies only to that specific model, and merges on top of any matching provider-level profile. See [Profiles](/oss/javascript/deepagents/profiles) for the full field list, merge semantics, and plugin packaging. For shaping how the *agent* behaves once the model is built, use a [harness profile](/oss/javascript/deepagents/profiles#harness-profiles). ### OpenAI and the Responses API When you pass an `openai:...` string as the model, Deep Agents uses the built-in OpenAI [provider profile](/oss/javascript/deepagents/profiles#provider-profiles) to enable the [Responses API](/oss/javascript/integrations/chat/openai#responses-api) by default. That path supports OpenAI conversation state and related features; see the [OpenAI provider](/oss/javascript/integrations/providers/openai) and [chat model](/oss/javascript/integrations/chat/openai) docs for current API options. The built-in OpenAI provider profile applies only to model strings. To set kwargs such as `use_responses_api`, `store`, or `include`, pass a configured model instance, or, in Python, layer them through a [provider profile](/oss/javascript/deepagents/profiles#provider-profiles) `init_kwargs`. Build the instance with [`init_chat_model`](https://reference.langchain.com/javascript/langchain/chat_models/universal/initChatModel) (Python) or `initChatModel` / `ChatOpenAI` (TypeScript). Use the [OpenAI chat integration](/oss/javascript/integrations/chat/openai#responses-api) to choose the Responses API versus Chat Completions (`useResponsesApi`, model kwargs, and any storage or output options your version exposes). Pass the resulting model instance to `createDeepAgent({ model })` so those settings are preserved. ## Select a model at runtime If your application lets users choose a model (for example using a dropdown in the UI), use [middleware](/oss/javascript/langchain/middleware) to swap the model at runtime without rebuilding the agent. ```ts theme={null} import { createMiddleware, initChatModel } from "langchain"; import { createDeepAgent } from "deepagents"; import * as z from "zod"; const contextSchema = z.object({ model: z.string(), }); const configurableModel = createMiddleware({ name: "ConfigurableModel", wrapModelCall: async (request, handler) => { const modelName = request.runtime.context.model; const model = await initChatModel(modelName); return handler({ ...request, model }); }, }); const agent = await createDeepAgent({ model: "google:gemini-3.6-flash", middleware: [configurableModel], contextSchema, }); // Invoke with the user's model selection const result = await agent.invoke( { messages: [{ role: "user", content: "Hello!" }] }, { context: { model: "openai:gpt-5.5" } }, ); ``` Open a public LangSmith run for this example. For more dynamic model patterns (for example routing based on conversation complexity or cost optimization), see [Dynamic model](/oss/javascript/langchain/models#dynamic-model-selection) in the LangChain agents guide. ## Learn more * [Models in LangChain](/oss/javascript/langchain/models): chat model features including tool calling, structured output, and multimodality ***
[Connect these docs](/use-these-docs) to your agent of choice via MCP for real-time answers. [Edit this page on GitHub](https://github.com/langchain-ai/docs/edit/main/src/oss/deepagents/models.mdx) or [file an issue](https://github.com/langchain-ai/docs/issues/new/choose).