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docs: update claude code docs (#14770)

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Parth Sareen
2026-03-10 15:52:41 -07:00
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docs/integrations/claude-code.mdx
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@@ -4,7 +4,7 @@ title: Claude Code
Claude Code is Anthropic's agentic coding tool that can read, modify, and execute code in your working directory.
Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `glm-4.7`, `qwen3-coder`, `gpt-oss`.
Open models can be used with Claude Code through Ollama's Anthropic-compatible API, enabling you to use models such as `qwen3.5`, `glm-5:cloud`, `kimi-k2.5:cloud`.
![Claude Code with Ollama](https://files.ollama.com/claude-code.png)
@@ -32,13 +32,57 @@ irm https://claude.ai/install.ps1 | iex
ollama launch claude
```
To configure without launching:
### Run directly with a model
```shell
ollama launch claude --config
ollama launch claude --model kimi-k2.5:cloud
```
### Manual setup
## Recommended Models
- `kimi-k2.5:cloud`
- `glm-5:cloud`
- `minimax-m2.5:cloud`
- `qwen3.5:cloud`
- `glm-4.7-flash`
- `qwen3.5`
Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).
## Scheduled Tasks with `/loop`
The `/loop` command runs a prompt or slash command on a recurring schedule inside Claude Code. This is useful for automating repetitive tasks like checking PRs, running research, or setting reminders.
```
/loop <interval> <prompt or /command>
```
### Examples
**Check in on your PRs**
```
/loop 30m Check my open PRs and summarize their status
```
**Automate research tasks**
```
/loop 1h Research the latest AI news and summarize key developments
```
**Automate bug reporting and triaging**
```
/loop 15m Check for new GitHub issues and triage by priority
```
**Set reminders**
```
/loop 1h Remind me to review the deploy status
```
## Manual setup
Claude Code connects to Ollama using the Anthropic-compatible API.
@@ -53,23 +97,14 @@ export ANTHROPIC_BASE_URL=http://localhost:11434
2. Run Claude Code with an Ollama model:
```shell
claude --model gpt-oss:20b
claude --model qwen3.5
```
Or run with environment variables inline:
```shell
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model qwen3-coder
ANTHROPIC_AUTH_TOKEN=ollama ANTHROPIC_BASE_URL=http://localhost:11434 ANTHROPIC_API_KEY="" claude --model glm-5:cloud
```
**Note:** Claude Code requires a large context window. We recommend at least 64k tokens. See the [context length documentation](/context-length) for how to adjust context length in Ollama.
## Recommended Models
- `qwen3-coder`
- `glm-4.7`
- `gpt-oss:20b`
- `gpt-oss:120b`
Cloud models are also available at [ollama.com/search?c=cloud](https://ollama.com/search?c=cloud).