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Removed ollama support (doesn't work)

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nick
2026-07-22 18:16:20 -07:00
parent 98cfcc2a4c
commit 56fafc449c
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opencode/README.md
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@@ -21,7 +21,6 @@ OpenCode is an open source AI coding agent.
OPENCODE_PORT – default: 4096
OPENCODE_HOSTNAME – default: 0.0.0.0
OLLAMA_HOST_URL – default: http://localhost:11434
## Volume Notes
@@ -29,8 +28,8 @@ With `VOL_PATH=/data`:
| Container path | Host path | Purpose |
|---|---|---|
| `/config` | `/data/opencode/config` | Config files (config.json) |
| `/data` | `/data/opencode/data` | OpenCode state |
| `/config` | `/data/opencode/config` | Config files (config.json), also `$HOME` |
| `/data` | `/data/opencode/data` | OpenCode state, incl. `auth.json` from `/connect` |
| `/projects` | `/data/opencode/projects` | Workspace/project files |
## Network Notes
@@ -52,41 +51,25 @@ See compose.yaml for the full set of environment variables.
## Additional Notes / Gotchas
Nothing specific to this stack so far.
This is a shared, reusable compose file — it ships "ready to use" but not
pre-authenticated. Whoever runs it needs to `/connect` a provider (OpenCode
Zen or OpenCode Go) before the agent can actually make model calls. Because
`HOME` and `XDG_DATA_HOME` point at the `/data` bind mount, that login
persists across container recreation.
## Dockhand Stack, Deploy from Git
### Config file
Cookbooks Repository
stackname: opencode
Compose file path: opencode/compose.yaml
Additional env file (optional): opencode/sample.env
The `config.json` at `opencode/config/config.json` is pre-configured to use
**OpenCode Zen** cloud models — no local model runtime required. Default
model is `opencode/deepseek-v4-flash-free` (free tier).
Then "Load" opencode/sample.env into the Environmental variables in dockhand.
Run `/connect` inside the TUI to authenticate with OpenCode Zen (or another
provider) and `/models` to switch. Login is persisted to the `/data` bind
mount, so it survives container recreation.
Create the Stack
## Config file
The `config.json` at `opencode/config/config.json` is pre-configured for
Ollama. Available models include:
| Model | Default | Purpose |
|---|---|---|
| `qwen2.5-coder:14b` | default | Coding & agent tasks (recommended for this repo) |
| `qwen3:8b` / `qwen3:8b-16k` | | General purpose, tool support |
| `qwen2.5:7b` | | Lightweight general purpose |
| `mistral:latest` / `mistral-small3.2:latest` | | Chat & multilingual |
| `llama3.1:8b` | | General purpose |
Tested on an NVIDIA GeForce RTX 5060 Ti (16 GB VRAM).
## Model Guides
See the `docs/` directory for best-practice guides on each supported model:
- [DeepSeek V4 Flash Free](docs/DeepSeekV4FlashFree.md) — free model via opencode provider
- [Qwen3 8B 16k](docs/Qwen.md) — local model via Ollama
- [Claude (Anthropic)](docs/Claude.md) — paid model via API key
For a flat-rate bundle of open-source models instead of pay-as-you-go, see
**OpenCode Go** ($10/mo subscription, ~12 models including DeepSeek V4,
Qwen 3.6, GLM 5.2) — switch to it the same way via `/connect` and `/models`.
To use a custom config with `VOL_PATH=/data`, copy it to:
@@ -94,7 +77,14 @@ To use a custom config with `VOL_PATH=/data`, copy it to:
/data/opencode/config/config.json
```
## CLI Cheatsheet
### Model Guides
See the `docs/` directory for best-practice guides on supported models:
- [DeepSeek V4 Flash Free](docs/DeepSeekV4FlashFree.md) — free model via opencode provider (default)
- [Claude (Anthropic)](docs/Claude.md) — paid model via API key
### CLI Cheatsheet
From the `opencode/` directory, prefix commands with `docker compose`:
@@ -130,16 +120,13 @@ docker compose exec opencode opencode upgrade
/share # Create share link
```
## Ollama
## Dockhand Stack, Deploy from Git
This stack requires the [ollama](../ollama/) stack to be running. The config
connects to `http://localhost:11434/v1` inside the container.
Cookbooks Repository
stackname: opencode
Compose file path: opencode/compose.yaml
Additional env file (optional): opencode/sample.env
To use a host-side ollama instead, set `OLLAMA_HOST=http://host.docker.internal:11434`.
Then "Load" opencode/sample.env into the Environmental variables in dockhand.
## Environment Variables
- `OPENCODE_SERVER_PASSWORD` — required. Set a strong password for the web UI.
- `OLLAMA_HOST` — Ollama API endpoint (default `http://localhost:11434`)
- `OPENCODE_PORT` — Web UI port (default `4096`)
- `VOL_PATH` — Base path for persistent data (default `/data`)
Create the Stack
opencode/compose.yaml
+4 -2
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@@ -4,13 +4,15 @@ services:
restart: ${OPENCODE_RESTART:-unless-stopped}
volumes:
- ${VOL_PATH:-/data}/opencode/config:/config
- ${VOL_PATH:-/data}/opencode/data:/data
- ${VOL_PROJECTS:-${VOL_PATH:-/data}/projects}:/projects
environment:
- OPENCODE_PORT=${OPENCODE_PORT:-4096}
- OPENCODE_HOSTNAME=${OPENCODE_HOSTNAME:-0.0.0.0}
- OPENCODE_CONFIG=/config/config.json
- OPENCODE_MODEL=qwen3:8b-16k
- OLLAMA_HOST=${OLLAMA_HOST_URL:-http://localhost:11434}
- OPENCODE_MODEL=opencode/deepseek-v4-flash-free
- HOME=/config
- XDG_DATA_HOME=/data
ports:
- ${OPENCODE_PORT:-4096}:4096
networks:
opencode/config/config.json
+8 -67
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@@ -1,73 +1,14 @@
{
"$schema": "https://opencode.ai/config.json",
"model": "ollama/qwen2.5-coder:14b",
"provider": {
"ollama": {
"npm": "@ai-sdk/openai-compatible",
"options": {
"baseURL": "http://localhost:11434/v1"
},
"models": {
"qwen3:8b": {
"name": "Qwen3 8B",
"tools": true,
"limit": {
"context": 32768,
"output": 8192
}
},
"qwen3:8b-16k": {
"name": "Qwen3 8B (16k UI-Context)",
"tools": true,
"limit": {
"context": 16384,
"output": 8192
}
},
"qwen2.5:7b": {
"name": "Qwen2.5 7B",
"tools": true,
"limit": {
"context": 32768,
"output": 8192
}
},
"qwen2.5-coder:14b": {
"name": "Qwen2.5 Coder 14B",
"tools": true,
"limit": {
"context": 32768,
"output": 8192
}
},
"mistral:latest": {
"name": "Mistral 7B",
"tools": true,
"limit": {
"context": 32768,
"output": 4096
}
},
"mistral-small3.2:latest": {
"name": "Mistral Small 3.2",
"tools": true,
"limit": {
"context": 131072,
"output": 8192
}
},
"llama3.1:8b": {
"name": "Llama 3.1 8B",
"tools": true,
"limit": {
"context": 131072,
"output": 8192
}
}
}
}
"model": "opencode/deepseek-v4-flash-free",
"tools": {
"bash": true
},
"permission": {
"bash": { "git *": "ask" }
"bash": {
"*": "ask",
"git add *": "deny",
"git commit *": "deny"
}
}
}
opencode/docs/Qwen.md
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@@ -1,188 +0,0 @@
# Qwen3 8B 16k — opencode Best Practices
> **Reference:** [opencode Ollama docs](https://opencode.ai/docs/providers/#ollama) | [Ollama](https://ollama.com/) | [Qwen3](https://qwen.readthedocs.io/)
## Quick Start (for new users)
This project runs opencode in Docker with the web interface at `http://localhost:PORT`.
- **Prerequisites:** Install [Ollama](https://ollama.com/download) and pull the model: `ollama pull qwen3:8b-16k` — ensure Ollama is running (`ollama serve`)
- **First run:** Use `/init` to generate an `AGENTS.md` — opencode analyzes your project structure, frameworks, and patterns, then writes a conventions file so future sessions know your code style, testing approach, naming conventions, and file organization
- **Undo:** Run `/undo` to revert the last change. Run it multiple times to undo further back. Use `/redo` to restore. All changes are tracked via git-style snapshots within the session.
## Provider Configuration
Reference: [Ollama provider docs](https://opencode.ai/docs/providers/#ollama)
Ollama exposes an OpenAI-compatible API at `http://localhost:11434/v1`. Configure it in your `opencode.json`:
```jsonc
{
"$schema": "https://opencode.ai/config.json",
"provider": {
"ollama": {
"npm": "@ai-sdk/openai-compatible",
"name": "Ollama (local)",
"options": {
"baseURL": "http://localhost:11434/v1"
},
"models": {
"qwen3:8b-16k": {
"name": "Qwen3 8B 16k",
"limit": {
"context": 16384,
"output": 4096
}
}
}
}
},
"model": "ollama/qwen3:8b-16k",
"permission": {
"edit": "ask",
"bash": "ask"
}
}
```
Permission values: `"allow"` (runs automatically), `"ask"` (prompts for approval), `"deny"` (disabled entirely). You can also use glob patterns for fine-grained control — e.g. `"grep *": "allow"`, `"git push": "ask"`.
## Sample opencode.json
Reference: [Config docs](https://opencode.ai/docs/config/) | [Permissions](https://opencode.ai/docs/permissions/)
```jsonc
{
"$schema": "https://opencode.ai/config.json",
"model": "ollama/qwen3:8b-16k",
"permission": {
"edit": "ask",
"bash": "ask"
}
}
```
## Local Model Considerations
Qwen3 8B runs locally on your machine, which comes with trade-offs compared to a cloud API:
- **Hardware:** ~8GB+ VRAM recommended. Runs on CPU via quantized variants (Q4/Q8) but slower
- **Performance:** Expect 10-40 tokens/second depending on your hardware and quantization
- **Context window:** 16k tokens — be concise in prompts and avoid dumping entire files
- **num_ctx:** If tool calls fail or the model seems confused, try increasing context: `ollama run qwen3:8b-16k --num-ctx 32768`
- **Tool calling:** Qwen3 has solid tool-calling support for a model its size, but may miss complex multi-tool workflows that larger models handle easily
- **No API key needed:** Everything runs locally — no data leaves your machine
## Tools (Built-in)
Reference: [Tools docs](https://opencode.ai/docs/tools/)
Tools are functions the LLM can call to interact with your codebase — they're how opencode reads files, searches code, runs commands, and makes changes. Each tool has a specific purpose:
- **`read`** — Read files. Prefer this over `bash cat` (structured output, line numbers).
- **`grep`** — Search file contents by regex. Faster and more targeted than `bash grep`.
- **`glob`** — Find files by pattern (e.g., `**/*.tsx`). Use instead of `bash find`.
- **`edit`** — Modify existing files via exact string replacement. Preferred for small changes.
- **`write`** — Create new files or overwrite existing ones.
- **`bash`** — Run arbitrary shell commands (git, npm, docker, etc.).
- **`skill`** — Load reusable instructions from a `SKILL.md` file.
- **`task`** — Delegate work to a subagent for parallel execution.
- **`webfetch`** / **`websearch`** — Fetch URLs or search the web (docs lookups, research).
- **`question`** — The agent asks you for clarification when instructions are ambiguous.
## Custom Tools & MCP Servers
Reference: [Custom Tools](https://opencode.ai/docs/custom-tools/) | [MCP Servers](https://opencode.ai/docs/mcp-servers/)
- **Custom tools:** Place TypeScript files in `.opencode/tools/`. The filename becomes the tool name. Can invoke scripts in any language (Python, shell, etc.).
- **MCP** (**Model Context Protocol**) — an open standard for connecting LLMs to external tools and services. Configure MCP servers in `opencode.json` to give opencode access to databases, APIs, file systems, etc.
```jsonc
// Example MCP server for a database
{
"mcp": {
"my-db": {
"type": "stdio",
"command": "node",
"args": ["path/to/mcp-server.js"]
}
}
}
```
## Subagents
Reference: [Agents docs](https://opencode.ai/docs/agents/)
Invoke with `@name` in your prompt. Subagents run in separate sessions and can work in parallel:
- **`@explore`** — Fast, read-only codebase explorer. *Use case:* "Find all places where the auth middleware is applied" — returns file paths and line numbers, no file changes.
- **`@general`** — Full subagent with all tools. *Use case:* "Refactor these three files in parallel" — fires multiple independent agents simultaneously, each handling one file.
- **`@scout`** — Read-only dependency researcher. Clones repos into a managed cache, inspects library source.
**Example — refactoring with parallel subagents:**
> "Extract the validation logic from controllers into a shared middleware.
> @general handle /users, @general handle /orders, @general handle /products"
Create custom subagents via `.opencode/agents/` (markdown files) or in `opencode.json`:
```jsonc
{
"agent": {
"review": {
"description": "Reviews code without making changes",
"mode": "subagent",
"permission": { "edit": "deny" },
"model": "ollama/qwen3:8b-16k"
}
}
}
```
## Skills
Reference: [Skills docs](https://opencode.ai/docs/skills/)
Skills are reusable instruction files placed in `.opencode/skills/<name>/SKILL.md`. The agent sees them in the `skill` tool description and loads them on-demand when a task matches.
```yaml
---
name: git-release
description: Create consistent releases and changelogs
---
Instructions for creating releases...
```
## Permissions
Reference: [Permissions docs](https://opencode.ai/docs/permissions/)
Control tool access globally or per-agent:
- `"allow"` — runs without asking
- `"ask"` — prompts for approval
- `"deny"` — disabled entirely
Permissions support glob patterns for fine-grained control over specific tools or commands.
## AGENTS.md
After running `/init`, opencode generates an `AGENTS.md` in your project root. This file captures your project's conventions and is read at the start of every session so the agent understands:
- Code style and naming conventions
- Framework and library choices
- Testing approach and commands
- File organization and patterns
- Any project-specific rules
Keep it committed to git — it's the single source of truth for how the agent should behave in your project.
## Prompting Tips (for Qwen3 8B)
- **Context is precious at 16k.** Every token counts. Skip pleasantries — every "please", "thanks", or "could you" consumes space that could hold code or instructions. Prefer direct commands: *"Refactor this function"* not *"Could you please help me by refactoring this function?"*
- **Break complex tasks into smaller, single-responsibility steps** — the model handles focused prompts better than sprawling ones
- **Use Plan mode first** for multi-file changes, review the plan, then build
- **If the model loses track**, use `/undo` and rephrase more specifically with fewer instructions per message
- **Reference files with `@filename`** for fuzzy search
- **Avoid dumping entire large files** — use `read` with line ranges or grep for relevant sections
- **Prefer `edit` over `write`** for changes to existing files — smaller diffs are easier for the model to reason about
- **If tool calls fail**, increase Ollama's context window: `ollama run qwen3:8b-16k --num-ctx 32768`
opencode/sample.env
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@@ -5,4 +5,3 @@ OPENCODE_IMAGE=ghcr.io/anomalyco/opencode:latest
OPENCODE_RESTART=unless-stopped
OPENCODE_PORT=4096
OPENCODE_HOSTNAME=0.0.0.0
OLLAMA_HOST_URL=http://localhost:11434