- name
- llm-provider-integration
- description
- Adding an LLM provider to RedAmon: the credential boundary (keys must never reach scan containers), prefix-routed model ids, and the provider registry. A misrouted model id or a leaked key are the two failures this guards. Trigger: adding or editing an LLM provider; editing parse_model_provider in agentic/orchestrator_helpers/llm_setup.py, the webapp provider-type registry, the user_llm_providers model, or an LLM call site that passes an API key; a non-chat provider type (TypeSafe Jev) or a path that picks "any provider row".
- license
- MIT
- metadata
- {"author":"redamon","version":"1.0.0","scope":["agentic","webapp"],"auto_invoke":["Adding or integrating an LLM provider","Editing model-id routing or provider credential handling","Adding a non-chat provider type, or a path that picks any provider row"]}
## When to Use
- Adding a new LLM provider (OpenAI-compatible or otherwise) the agent can use.
For a non-LLM external API *tool*, use `agentic-tool-integration`.
---
## Critical Rules
- **NEVER let a provider API key reach a scan container.** Keys live in exactly
two places: Postgres `user_llm_providers` rows and, in transit, on the wire
between webapp and agent. The recon / scan / MCP containers must **never** see
them. Do not thread a provider key through recon settings or container env.
- **NEVER add a model id that is not prefix-routed.** Anything other than
`claude-*` and bare OpenAI ids MUST carry a `provider/<model>` prefix, resolved by
`parse_model_provider()` at
[agentic/orchestrator_helpers/llm_setup.py:67](../../agentic/orchestrator_helpers/llm_setup.py#L67).
An unprefixed id routes to the wrong provider silently.
- **NEVER treat every `user_llm_providers` row as a chat LLM.** A non-chat type
(today `jev`, the TypeSafe decision API) must be skipped by every path that
builds a chat model, or its token is sent to the wrong host: `setup_llm`'s
custom branch builds `ChatOpenAI(api_key=<row key>)` with no base URL, which is
api.openai.com. Add the type to `NON_CHAT_PROVIDER_TYPES` in BOTH twins
(`agentic/llm_builder.py`, `webapp/src/lib/llmProviderKinds.ts`); use
`chat_providers()` / `isChatProvider` wherever rows are listed, counted, gated
or forwarded (the `/api/models` forward, the project LLM gate, the triage
preflight, the feature-model grid); and never let a stale `custom/<id>` fall
back to "the first provider" (`custom_provider_or_fallback` falls back only to
custom-capable types). `setup_llm` also refuses a non-chat type outright.
- **A non-chat provider's endpoint is a constant, and its type is locked.**
`agentic/jev_client.py` is the only code that talks to `api.typesafe.ai`: a fixed
base URL, no redirects, fixed error texts. On the webapp, POST forces model,
URL and headers and allows one row per user; PUT and the test route refuse a
type change in either direction and ignore a body-supplied URL/headers for a
stored row, so a stored token can never be re-pointed at another host.
- **ALWAYS register the provider in the webapp provider-type registry** and
**propagate the key kwarg into every LLM call site.** A provider registered but
not propagated builds a client with no credentials. The guide enumerates all
11 integration points; touch each.
---
## The two invariants
| Invariant | Where | Failure if broken |
| --- | --- | --- |
| Keys only in Postgres + webapp<->agent transit | [webapp/prisma/schema.prisma](../../webapp/prisma/schema.prisma) `user_llm_providers`; agent settings fetch | key leaks into scan/MCP containers |
| Model id prefix routing | `parse_model_provider()` [llm_setup.py:67](../../agentic/orchestrator_helpers/llm_setup.py#L67) | model routes to the wrong provider |
## Commands
```bash
docker compose build agent && docker compose up -d agent # agentic/ is baked
docker compose exec webapp npx prisma db push # provider schema changes (NEVER prisma migrate)
```
## Resources
- [docs/readmes/coding_agent_prompts/PROVIDER_INTEGRATION_GUIDELINES.md](../../docs/readmes/coding_agent_prompts/PROVIDER_INTEGRATION_GUIDELINES.md) - the 11 integration points, decision tree, and model-id prefix table
- Related skill: `agentic-tool-integration`
View on GitHub