Files
odysseus/src/model_capability_readers/ollama.py
T
RaresKeY 4f04c347cc feat(models): define capability schema and readers (#2739)
* feat(models): define capability schema and readers

* fix(models): harden Google catalog probing

Restrict native catalog probing to the Gemini host, keep provider keys out of request URLs, filter non-chat model resources, and preserve the manual refresh default in the built-in Google add flow.
2026-07-18 09:40:58 +01:00

205 lines
6.3 KiB
Python

"""Ollama native API capability reader."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any
from src import model_capabilities as mc
from src.model_capability_readers.base import (
ModelCapabilityRecord,
VENDOR_OLLAMA,
as_list,
as_mapping,
build_capability,
compact_str,
int_limit,
merge_unique,
model_id_from,
stable_model_id_for,
)
vendor = VENDOR_OLLAMA
_CAPABILITY_MAP = {
"completion": None,
"completions": None,
"chat": None,
"thinking": mc.CAP_REASONING,
"reasoning": mc.CAP_REASONING,
"vision": mc.CAP_VISION,
"tools": mc.CAP_TOOL_CALL,
"tool": mc.CAP_TOOL_CALL,
"embedding": None,
"embeddings": None,
}
def _capability_tokens(values: Any) -> tuple[str, ...]:
out: list[str] = []
for value in as_list(values):
token = compact_str(value).lower().replace("-", "_")
cap = _CAPABILITY_MAP.get(token)
if cap and cap not in out:
out.append(cap)
return tuple(out)
def _family_from_ollama_capabilities(values: Any) -> str:
tokens = {compact_str(value).lower().replace("-", "_") for value in as_list(values)}
if tokens and tokens.issubset({"embedding", "embeddings"}):
return mc.FAMILY_EMBEDDING
if "embedding" in tokens or "embeddings" in tokens:
return mc.FAMILY_EMBEDDING
if tokens.intersection({"completion", "completions", "chat", "thinking", "reasoning", "tools", "tool", "vision"}):
return mc.FAMILY_CHAT
return mc.FAMILY_UNKNOWN
def _parameters_mapping(value: Any) -> Mapping[str, Any]:
if isinstance(value, Mapping):
return value
text = compact_str(value)
if not text:
return {}
parsed: dict[str, str] = {}
for line in text.splitlines():
parts = line.strip().split(None, 1)
if len(parts) == 2:
parsed[parts[0]] = parts[1]
return parsed
def _modalities_for_family(family: str, capabilities: tuple[str, ...]) -> tuple[tuple[str, ...], tuple[str, ...]]:
if family == mc.FAMILY_EMBEDDING:
return (mc.MODALITY_TEXT,), (mc.MODALITY_EMBEDDING,)
if family == mc.FAMILY_CHAT and mc.CAP_VISION in capabilities:
return (mc.MODALITY_TEXT, mc.MODALITY_IMAGE), (mc.MODALITY_TEXT,)
if family == mc.FAMILY_CHAT:
return (mc.MODALITY_TEXT,), (mc.MODALITY_TEXT,)
return (), ()
def _first_int_by_key_shape(*mappings: Mapping[str, Any], exact_keys: tuple[str, ...] = ()) -> int | None:
for key in exact_keys:
for mapping in mappings:
value = int_limit(mapping.get(key))
if value:
return value
for mapping in mappings:
for key, value in mapping.items():
key_text = compact_str(key).lower()
if key_text == "context_length" or key_text.endswith(".context_length"):
limit = int_limit(value)
if limit:
return limit
return None
def _limits_from_show(raw: Mapping[str, Any]) -> dict[str, Any]:
model_info = as_mapping(raw.get("model_info"))
parameters = _parameters_mapping(raw.get("parameters"))
details = as_mapping(raw.get("details"))
limits: dict[str, Any] = {}
context_tokens = _first_int_by_key_shape(
raw,
model_info,
parameters,
details,
exact_keys=("context_length", "num_ctx"),
)
if context_tokens:
limits["context_tokens"] = context_tokens
return limits
def record_from_show_payload(
model_id: str,
payload: Mapping[str, Any],
*,
endpoint_id: Any = "",
base_url: Any = "",
) -> ModelCapabilityRecord | None:
model_id = compact_str(model_id) or model_id_from(payload, "model", "name")
if not model_id:
return None
capability_values = payload.get("capabilities")
capabilities = _capability_tokens(capability_values)
family = _family_from_ollama_capabilities(capability_values)
if family == mc.FAMILY_UNKNOWN:
capability = mc.unknown_capability(
source=mc.SOURCE_PROVIDER_READER,
confidence=mc.CONFIDENCE_UNKNOWN,
)
else:
input_modalities, output_modalities = _modalities_for_family(family, capabilities)
capability = build_capability(
family=family,
input_modalities=input_modalities,
output_modalities=output_modalities,
capabilities=merge_unique(capabilities),
limits=_limits_from_show(payload),
)
return ModelCapabilityRecord(
vendor=VENDOR_OLLAMA,
model_id=model_id,
stable_model_id=stable_model_id_for(VENDOR_OLLAMA, model_id, endpoint_id=endpoint_id, base_url=base_url),
display_name=model_id,
capability=capability,
raw=payload,
)
def records_from_tags_payload(
payload: Mapping[str, Any],
*,
endpoint_id: Any = "",
base_url: Any = "",
) -> tuple[ModelCapabilityRecord, ...]:
records: list[ModelCapabilityRecord] = []
for item in as_list(as_mapping(payload).get("models")):
if not isinstance(item, Mapping):
continue
model_id = model_id_from(item, "model", "name")
if not model_id:
continue
records.append(
ModelCapabilityRecord(
vendor=VENDOR_OLLAMA,
model_id=model_id,
stable_model_id=stable_model_id_for(
VENDOR_OLLAMA,
model_id,
endpoint_id=endpoint_id,
base_url=base_url,
),
display_name=model_id,
capability=mc.unknown_capability(
source=mc.SOURCE_PROVIDER_READER,
confidence=mc.CONFIDENCE_UNKNOWN,
),
raw=item,
)
)
return tuple(records)
def records_from_payload(
payload: Mapping[str, Any],
*,
endpoint_id: Any = "",
base_url: Any = "",
) -> tuple[ModelCapabilityRecord, ...]:
payload = as_mapping(payload)
if "models" in payload:
return records_from_tags_payload(payload, endpoint_id=endpoint_id, base_url=base_url)
record = record_from_show_payload(
model_id_from(payload, "model", "name"),
payload,
endpoint_id=endpoint_id,
base_url=base_url,
)
return (record,) if record else ()