docs: add tool shim guide covering when to enable, backends, and troubleshooting (#10858)

This commit is contained in:
Abhijay Jain
2026-08-10 15:54:28 +05:30
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parent 341aa35842
commit d6ee97b4ce
3 changed files with 139 additions and 35 deletions
@@ -274,8 +274,10 @@ These variables control how goose handles [tool execution](/docs/guides/managing
| Variable | Purpose | Values | Default |
|----------|---------|---------|---------|
| `GOOSE_MODE` | Controls how goose handles tool execution | "auto", "approve", "chat", "smart_approve" | "auto" |
| `GOOSE_TOOLSHIM` | Enables/disables tool call interpretation | "1", "true" (case-insensitive) to enable | false |
| `GOOSE_TOOLSHIM_OLLAMA_MODEL` | Specifies the model for [tool call interpretation](/docs/experimental/ollama) | Model name (e.g. llama3.2, qwen2.5) | System default |
| `GOOSE_TOOLSHIM` | Enables the [tool shim](/docs/guides/tool-shim) for models that output text-based tool calls | "1", "true" (case-insensitive) to enable | false |
| `GOOSE_TOOLSHIM_BACKEND` | Interpreter backend for the tool shim | "ollama" (default), "local", "llama.cpp" | "ollama" |
| `GOOSE_TOOLSHIM_OLLAMA_MODEL` | Ollama model used as the [tool shim](/docs/guides/tool-shim) interpreter | Model name (e.g. llama3.2, mistral-nemo) | "mistral-nemo" |
| `GOOSE_TOOLSHIM_MODEL` | Model for the local tool shim interpreter backend | Model name | Uses `LOCAL_LLM_MODEL` config |
| `GOOSE_CLI_MIN_PRIORITY` | Controls verbosity of [tool output](/docs/guides/managing-tools/adjust-tool-output) | Float between 0.0 and 1.0 | 0.0 |
| `GOOSE_DEBUG` | Enables debug mode to show full tool parameters without truncation. Can also be toggled during a session using the `/r` [slash command](/docs/guides/goose-cli-commands#slash-commands) | "1", "true" (case-insensitive) to enable | false |
| `GOOSE_SHOW_FULL_OUTPUT` | Shows full tool parameters in CLI output instead of truncating them to the terminal width | true/false | false |
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---
sidebar_position: 31
title: Tool Shim
sidebar_label: Tool Shim
---
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
:::warning Experimental Feature
The tool shim is an experimental feature. Configuration options and behavior may change in future releases.
:::
Some language models don't natively support tool/function calling, or intermittently output tool calls as plaintext instead of structured API responses. The tool shim detects these text-based tool call formats and converts them into proper tool calls that goose can execute.
## When to enable
Enable the tool shim when:
- Tools stop working mid-session — the model calls a tool but goose doesn't execute it
- The model outputs plaintext like `functions.shell:0 <|tool_call_argument_begin|> {...}` instead of using the tool API
- You're using a local model (Ollama, llama.cpp) that doesn't have native tool calling support
- Your OpenAI-compatible provider routes to models that mix reasoning tags (`<think>`) with tool calls, causing parsing failures
Most locally-hosted models and some cloud models that weren't fine-tuned for structured tool calling will need the shim.
## How it works
The shim intercepts model responses and converts any text-based tool call formats into structured tool calls that goose can execute. It requires a separate **interpreter model** — by default, goose uses Ollama for this. The interpreter model is independent of whichever provider you use for your main conversation.
## Configuration
### Enable the shim
```bash
export GOOSE_TOOLSHIM=true
```
### Ollama backend (default)
Ollama must be installed and running. The default interpreter model is `mistral-nemo`.
```bash
# Pull the default interpreter model
ollama pull mistral-nemo
# Optional: use a different interpreter model
export GOOSE_TOOLSHIM_OLLAMA_MODEL=llama3.2
```
### Local backend (llama.cpp / built-in inference)
If you're running goose with the built-in local inference backend, you can use it as the interpreter instead of a separate Ollama instance. A model name is required — set either `GOOSE_TOOLSHIM_MODEL` or the `LOCAL_LLM_MODEL` config key, otherwise goose will error on startup:
```bash
export GOOSE_TOOLSHIM_BACKEND=local
export GOOSE_TOOLSHIM_MODEL=my-model-name
```
Valid values for `GOOSE_TOOLSHIM_BACKEND`: `ollama` (default), `local`, `llama.cpp`.
## Usage examples
<Tabs>
<TabItem value="ollama-primary" label="Ollama as primary provider" default>
```bash
GOOSE_TOOLSHIM=true goose session
```
Uses `mistral-nemo` as the interpreter. Override with `GOOSE_TOOLSHIM_OLLAMA_MODEL` if needed.
</TabItem>
<TabItem value="custom-provider" label="Custom OpenAI-compatible provider">
```bash
GOOSE_TOOLSHIM=true \
GOOSE_TOOLSHIM_OLLAMA_MODEL=llama3.2 \
goose session
```
Your primary provider can be anything (Bedrock, a custom router, etc.). The shim uses Ollama locally as the interpreter regardless of which provider you're talking to.
</TabItem>
<TabItem value="local-backend" label="Built-in local inference">
```bash
GOOSE_TOOLSHIM=true \
GOOSE_TOOLSHIM_BACKEND=local \
GOOSE_TOOLSHIM_MODEL=my-model-name \
goose session
```
Uses goose's built-in llama.cpp backend as the interpreter. `GOOSE_TOOLSHIM_MODEL` (or `LOCAL_LLM_MODEL` in config) is required — startup fails if neither is set.
</TabItem>
</Tabs>
## Environment variable reference
| Variable | Description | Default |
|----------|-------------|---------|
| `GOOSE_TOOLSHIM` | Enable the tool shim (`true` or `1`) | `false` |
| `GOOSE_TOOLSHIM_BACKEND` | Interpreter backend: `ollama`, `local`, or `llama.cpp` | `ollama` |
| `GOOSE_TOOLSHIM_OLLAMA_MODEL` | Ollama model used as the interpreter | `mistral-nemo` |
| `GOOSE_TOOLSHIM_MODEL` | Model name for the local interpreter backend (required if using `local` backend and `LOCAL_LLM_MODEL` config is not set) | — |
## Troubleshooting
**Tools suddenly stop working in the middle of a session**
The model may have switched from native tool calls to a text-based format. Enable `GOOSE_TOOLSHIM=true` and restart.
**The shim is enabled but tools still don't execute**
Check that your interpreter backend is reachable:
- Ollama: run `ollama list` to confirm it's running and the interpreter model is pulled.
- Local: confirm local inference is configured and a model is set.
**Interpreter calls are slow**
Switch to a smaller, faster Ollama model:
```bash
export GOOSE_TOOLSHIM_OLLAMA_MODEL=qwen2.5:3b
```
**Model outputs reasoning before tool calls (`<think>` tags)**
Some reasoning models mix thinking tags with tool calls, causing parsing failures. The shim handles this automatically — enable it and the reasoning content is stripped from the final message.