# Rasa Configuring Assistant

> >

- **Type:** Skill
- **Install:** `agentstack add skill-rasahq-rasa-agent-skills-rasa-configuring-assistant`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [RasaHQ](https://agentstack.voostack.com/s/rasahq)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** Apache-2.0
- **Upstream author:** [RasaHQ](https://github.com/RasaHQ)
- **Source:** https://github.com/RasaHQ/rasa-agent-skills/tree/main/skills/rasa-configuring-assistant

## Install

```sh
agentstack add skill-rasahq-rasa-agent-skills-rasa-configuring-assistant
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Configuring a Rasa Assistant

## Workflow

1. Check if `config.yml` and `endpoints.yml` already exist.
2. Configure the pipeline in `config.yml` with at least one command generator
   (see "Pipeline").
3. Add `FlowPolicy` to policies (see "Policies").
4. Set the language and assistant ID (see "Language" and "Assistant ID").
5. Define model groups in `endpoints.yml`.
6. Configure the action endpoint if custom actions are used (see "Action endpoint").
7. Validate the project.

## config.yml

The `config.yml` file defines how the assistant processes user messages. It specifies
recipe, language, pipeline components, and policies.

### Minimal CALM configuration

A working CALM assistant requires at minimum:

```yaml
recipe: default.v1
language: en

pipeline:
  - name: CompactLLMCommandGenerator  # or SearchReadyLLMCommandGenerator

policies:
  - name: FlowPolicy
```

### Pipeline

The pipeline processes user messages and produces commands for the conversation. The
main component is the Command Generator (e.g. `CompactLLMCommandGenerator` or
`SearchReadyLLMCommandGenerator`), which uses an LLM to interpret user messages and
generate commands.

Configure the LLM model via `model_group` (defined in `endpoints.yml`), flow retrieval
embeddings, and input limits:

```yaml
pipeline:
  - name: CompactLLMCommandGenerator
    llm:
      model_group: my_llm                  # references model_groups in endpoints.yml
    flow_retrieval:
      embeddings:
        model_group: my_embeddings         # references model_groups in endpoints.yml
    user_input:
      max_characters: 420
```

### Policies

Policies determine how the assistant progresses conversations. For CALM, `FlowPolicy` is
required — it executes flow steps based on the commands produced by the pipeline. No
additional configuration is needed.

```yaml
policies:
  - name: FlowPolicy
```

### Language

Set the primary language with a two-letter ISO 639-1 code. Use `additional_languages`
for multilingual assistants.

```yaml
language: en
additional_languages:
  - de
  - fr
```

### Assistant ID

A unique identifier included in every event's metadata. Always set this explicitly — if
missing, a random ID is generated on every `rasa train`.

```yaml
assistant_id: my_assistant
```

## endpoints.yml

The `endpoints.yml` file defines how the assistant connects to external services — LLM
providers, action servers, model storage, and more.

Use `${VARIABLE_NAME}` to reference environment variables for API keys and other
sensitive values.

### Model groups

Define model groups in `endpoints.yml` for LLM and embedding providers. Pipeline
components reference groups by `id`.

See the `rasa-configuring-model-groups` skill for full details on providers,
multi-deployment routing, failover, and self-hosted models.

```yaml
model_groups:
  - id: my_llm
    models:
      - provider:        # e.g. openai, azure, self-hosted
        model: 

  - id: my_embeddings
    models:
      - provider: 
        model: 
```

### Action endpoint

Tells Rasa where the action server runs for executing custom actions. Supports HTTP,
HTTPS, gRPC, and secure gRPC protocols.

Use `enable_selective_domain: true` to only send the domain to actions that explicitly 
request it (reduces payload size).

```yaml
action_endpoint:
  url: "http://localhost:5055/webhook"   # or https://, grpc://
  # cafile: "/path/to/ssl_ca_certificate"  # for HTTPS or secure gRPC
  enable_selective_domain: true            # optional, reduces payload size
```

### NLG server

Configure an external NLG server to generate responses dynamically instead of using
static templates from the domain. The endpoint must serve a `/nlg` path.

```yaml
nlg:
  url: http://localhost:5055/nlg
  # token: "my_authentication_token"        # optional token auth
  # basic_auth:                             # or basic auth
  #   username: user
  #   password: pass
```

The rephraser (`nlg: type: rephrase`) is covered by the `rasa-rephrasing-responses`
skill.

### MCP servers

MCP server configuration (`mcp_servers` in `endpoints.yml`) is covered by the
`rasa-configuring-mcp-server` skill.

### Silence handling

Controls how long the assistant waits before assuming the user is silent. Only applies
to voice-stream channels (Twilio, Browser Audio, Genesys, Jambonz, Audiocodes).

```yaml
interaction_handling:
  global_silence_timeout: 7    # seconds, default: 7
```

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [RasaHQ](https://github.com/RasaHQ)
- **Source:** [RasaHQ/rasa-agent-skills](https://github.com/RasaHQ/rasa-agent-skills)
- **License:** Apache-2.0

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-rasahq-rasa-agent-skills-rasa-configuring-assistant
- Seller: https://agentstack.voostack.com/s/rasahq
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
