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promptkit/docs/internal/llm.md

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# Internal Model Client
## Purpose
This document describes Promptkit's internal model-client implementation. The
[architecture policy](../policy/architecture.md) owns the library boundary,
and the
[OpenAI-compatible chat integration](../integrations/openai-compatible-chat.md)
owns the observable outbound HTTP contract. The
[framework format reference](../formats.md) owns the profile and prompt
settings consumed by the client.
The concrete client remains under `internal/llm`. The root engine assembles it
as the default implementation behind Promptkit's public client boundary.
## Components And Flow
`Client` is the provider-neutral generation boundary consumed by later
orchestration. `OpenAICompatibleClient` is the built-in implementation. It
uses internal domain values for rendered prompts, execution targets,
structured output, responses, and token usage.
The runner supplies a fully resolved target after applying backend, profile,
and request precedence. The client uses its endpoint, credential metadata,
generation fields, and extra parameters. `BackendID` remains routing metadata
for the generation boundary and is not mapped into the provider payload.
Construction validates the configured base URL and clones any supplied
`http.Client` so Promptkit can apply its timeout default without mutating the
caller's client. Generation then:
1. validates request-level timeout and endpoint requirements;
2. maps the internal request into the OpenAI-compatible chat payload;
3. validates and merges extra parameters;
4. resolves authentication;
5. performs the outbound request under the applicable deadlines; and
6. decodes the first response choice and token usage.
`internal/llm` owns the set of reserved OpenAI-compatible request fields used
when validating extra parameters. Backend registration consumes the same rule
without making the model client depend on registry configuration.
The implementation has no retry loop, tool-call support, provider catalog,
inbound HTTP behavior, or durable session store.
## Failure Categories
The package preserves distinct error identities for invalid client
configuration, invalid generation requests, request execution failures,
non-success provider statuses, and malformed successful responses. Provider
response bodies are not included in non-success errors.
Caller cancellation and deadline failures during the outbound request are
reported as request execution failures. The runner classifies these identities
without depending on HTTP status mapping.
## Test Ownership
The
[OpenAI-compatible client tests](../../internal/llm/openai_compatible_client_test.go)
own configuration, client cloning, deterministic deadline precedence,
authentication, request and response mapping, malformed data, error identity,
cancellation, and response-body suppression. The root transport contract test
also verifies that resolved backend settings reach this client without
serializing backend identity. All use local test servers or test transports;
the default suite makes no live or paid provider requests.