Documentation
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Overview ¶
Package agent runs the "propose" step: it gives the role's question to a coding agent and collects its proposals in out/intentions.yaml.
Index ¶
Constants ¶
const BlockScalars = "" /* 293-byte string literal not displayed */
BlockScalars is how a text holding code is written so that it reads: a plain text starting with a backtick, or holding `: ` or ` #`, does not (#138), and a block scalar takes code as it is, with no escaping. Said in the prompt, and again when an answer did not read.
Variables ¶
var ErrInvalidOutput = errors.New("agent answered without valid proposals")
ErrInvalidOutput means the agent answered, but not with proposals the engine can read. Its answer is dropped, as if it had proposed nothing.
ErrUnavailable means the agent could not be reached for a reason outside the role: quota, authentication, network, not installed. The run ends as blocked-external if the role cannot pass without it.
Functions ¶
func Mend ¶ added in v0.13.0
Mend fixes the two slips that leave agents' answers unreadable or cut, before any YAML reader takes them, and says what it mended: code quoted with its tabs under a block scalar, when the answer fails on a tab (#157), and a plain free text cut by ` #`, read whole (#156). The block's text and the line's are kept exactly as written; an answer that still does not read comes back as it came. Why and the rules: docs/spec/role-contract.md, "One run", step 3.
func Notice ¶
Notice records the model that answered call in file, and says so when it is not the one that answered the same question last time on this machine. A call that did not say what it asked or what answered is not recorded. It never fails a run: a file it cannot read or write only means no notice.
func Prompt ¶
Prompt assembles what the agent reads, in the contract's order: persona (returned apart, as the system prompt), knowledge, instruction, the task, the output contract, and the policy last.
func Seen ¶
func Seen() string
Seen is where a machine keeps the last exact model that answered for each model asked: an alias floats to a new generation on its own, and the evaluation's scores are worth something only for the model that earned them (docs/adr/0004-follow-model-aliases-and-measure.md). WORKLINE_MODELS_SEEN names another file.
Types ¶
type Agent ¶
Agent answers the question in in/task.md by writing out/intentions.yaml, and says what answered, even when it fails.
func Parse ¶
Parse turns an agent spec into an agent. "none" (or "") returns nil: no agent.
none no AI; the role's without-ai rule applies
claude Claude Code, headless (claude -p), on the model the role's tier asks
claude:<model> on that model, whatever the tier: an alias (sonnet) or an exact id
claude:<model>@<effort>, claude:@<effort>
and at that effort (none, low, medium, high, max), whatever the role's
cmd:<script> runs <script> with sh -c: the prompt in, the proposals out (command.go)
fake:<file> replays the proposals in <file> (conformance tests)
unavailable:<reason> fails like an agent whose quota or login is gone
type Call ¶
type Call struct {
Agent string `json:"agent"`
Task string `json:"task,omitempty"` // the kind of task, when pre named one
Tier string `json:"tier,omitempty"`
Effort string `json:"effort,omitempty"` // the role's level, before the agent maps it
Asked string `json:"asked,omitempty"` // the model named to the agent: an alias or an exact id
Model string `json:"model,omitempty"` // the one that wrote the answer, as the agent reports it
// What the call used, side calls included, as the agent reports it. On a
// subscription the tokens are what counts; the cost is the list price.
TokensIn int `json:"tokens-in,omitempty"` // the whole input, cache included
TokensCached int `json:"tokens-cached,omitempty"` // the part of it read from cache
TokensOut int `json:"tokens-out,omitempty"`
CostUSD float64 `json:"cost-usd,omitempty"`
Seconds float64 `json:"seconds"`
// Mended: what the engine fixed of the answer before reading it (Mend).
Mended []string `json:"mended,omitempty"`
}
Call records one question put to an agent: what was asked, and what answered. The same tier names a newer model when the agent's aliases move, so a score is only worth something next to the exact model.
Source Files