Files
odysseus/specs/model-providers/llama-cpp.md
RaresKeYandStressTestor 7026cf40b5 docs: bootstrap specs ground truth (#5794)
* docs(specs): restore bootstrap after dev rewrite

* docs(specs): remove runtime inventory snapshot

* docs(specs): reconcile current dev truth

* docs(specs): document scheduled task actions as an owner-attribution source

Owner Attribution covered cookie, bearer-token and internal-loopback
requests. Scheduled task actions are a fourth source and behave
differently: _execute_action passes owner=task.owner off the stored
ScheduledTask row, so no request and no resolved principal are in
flight, and route-level require_user() never runs.

Webhook triggers are the sharp case. They are unauthenticated by
design with the token as the only credential and execute under the
stored task.owner.

Paths cite routes/task/task_routes.py, the canonical location after
the task subpackage move (#6081); routes/task_routes.py on current dev
is the backward-compat shim.

* docs(specs): add chained tasks to the trigger list, refresh dev stamp

Review feedback from RaresKeY on the previous commit.

"Every trigger path" was too broad: success-chained tasks are another
path into _execute_action. Added them with their own citation, and
noted that chaining additionally requires the target task to share
task.owner and rejects cycles, which is stricter than the trigger-side
checks. Softened the lead-in to "these trigger paths".

Line 56 still pointed at routes/task_routes.py for webhook credential
validation. That path is the backward-compat shim on current dev after
the task subpackage move (#6081); repointed to the canonical
routes/task/task_routes.py.

Stamp moved to dev@2a6b09b. Inspection backing that bump was scoped:
every file path cited in this spec was mechanically checked to resolve
on 2a6b09b, and every file:line in the Owner Attribution additions was
read against it. Behavioral claims elsewhere in the file were not
re-audited.

* docs(specs): correct SECURE_COOKIES description to match current behavior

Third of the stale details RaresKeY enumerated. The cookie section
described SECURE_COOKIES as purely opt-in, which stopped being true.

_secure_cookie() (routes/auth_routes.py:89) treats an explicit true or
false as authoritative and derives the Secure attribute from the
request otherwise, including when the variable is unset and when
docker-compose injects it present-but-empty. Either the connection
scheme or the first X-Forwarded-Proto hop being https is enough.

* docs(specs): refresh current dev truth

---------

Co-authored-by: StressTestor <212606152+StressTestor@users.noreply.github.com>
2026-08-25 14:18:44 +02:00

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Markdown

# llama.cpp Provider Shape
Last updated: dev@e57f60b | 2026-07-20
## Scope
Canonical provider ID `llamacpp`; OpenAI Chat/Responses and Anthropic Messages
compatibility plus native server metadata; reader
`src/model_capability_readers/llamacpp.py`.
## Metadata Shapes
`/v1/models` provides served identity and can include server model entries;
native `/props` is authoritative for the running model/server combination:
- `model_alias`/`model_path`;
- `default_generation_settings.n_ctx` and sampling `params`;
- `total_slots` and optional `/slots[].n_ctx` fallback;
- `chat_template_caps` for tools/system role;
- `modalities.vision|audio`;
- current server/build state.
Capability depends on weights, projection/model assets, chat template, parser,
and launch flags. It is endpoint evidence, not a checkpoint-name claim.
`/props` and `/v1/models` can be merged only for the same served identity.
## Request And Response Shape
llama-server supports several OpenAI-compatible tasks and native extensions.
Do not infer embeddings/rerank/chat solely from the OpenAI model card; use an
explicit server model capability field or endpoint configuration. Tool and
reasoning correctness can depend on selected chat template and parser.
## Fallback And Safety
The registry selects llama.cpp through an explicit vendor or endpoint kind; it
does not auto-detect `/props` from payload shape. Port 8000 currently maps to
the vLLM placeholder, while 8080 falls through to generic OpenAI-compatible.
llama.cpp-only `session_id` and `cache_prompt` affinity fields must remain local
endpoint behavior and never leak to strict cloud providers (#4640 and current
affinity tests).
## Current Gaps
- Multi-model routing requires per-served-model `/props` association.
- Parser/template configuration is not yet fully represented in canonical
endpoint metadata.