Source identity
| Field | Recorded value |
|---|---|
| Source type | GitHub source |
| Original record | Janady13/missionmatch / internal/platform/inference/types.go |
| Date | Not specified in source |
| Repository | Janady13/missionmatch |
| Revision | 720d47fae476b0d38477ae4401697d372b1ea2bc |
| Branch | feature/opportunity-to-outcome |
| Path or archive member | internal/platform/inference/types.go |
| Original SHA-256 | 9cde44e412ae173c47411d3d5534e2b9d933227d4e8399dd337da6b52f04d2bc |
| Git blob SHA | 472a45050ebe7f1009afb0a3a1ae76450cfe3724 |
| Reading-copy SHA-256 | 9cde44e412ae173c47411d3d5534e2b9d933227d4e8399dd337da6b52f04d2bc |
Every recorded occurrence
These 25 records contain identical original source bytes. Their paths and revisions remain part of the archive.
| Original record | Branch or archive | Revision / identifier | Original location |
|---|---|---|---|
| Janady13/missionmatch / internal/platform/inference/types.go | feature/opportunity-to-outcome | 720d47fae476b0d38477ae4401697d372b1ea2bc | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | per-tenant-routing | 9bde0f9a74b89d01980fa658e5253acda7528d0c | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | collision-deconfliction | 4ee5a09972608ed89f8377c6665542d5f450f0a6 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws6-retrieval | 6c56e29231ec05735927fa265c97d517499dfeaf | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | m5-price-to-win | 41000ad30fff4129fdaf5ec84e15ba14c27d4890 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws1-ontology-sync | b596f449a32a1016fbd403c36505cc00a1ac9ee6 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | master | 1e9249840a4302ec82e123b9c9cb6f75badea3e4 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws8-teaching-loop | c823f0fb6bb2aba0f39001eb6de96f4000d9321f | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | w3-ai-staffing-recommendations | 43d56387270ef4da4cabd794d97ca6a49909bc7d | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | mag-substrate | b82c7100a492dec67dfd1eda6b3f53def859be35 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws3-clearance | 4b8e7ce594c068621867f9c9deed0ec64ae6c553 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | phase2-eval-fairness | d361af254701975fe239927656ababb56374655e | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | time-to-fill-survival | b66e1e505863d4f17741a4b9ede73509e45bd6c6 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ai-intelligence-layer | 5d5ddff70393a197c5f54a45280bb5dd42b24755 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | graphrag-foundation | b0ddeb9f633fd138d09309d1a17b7d13bc3a67f7 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | deploy-and-ops | bdacd9d0b4d5998d25fc74bf4007f4c3ec538c7a | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws9-bench-ingestion | f585a9ef32fa554663ce1fba9a414a54b6e49cf0 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws2-alias-relationship | e4dada4601c6eb101830f9d223a9655dfa120616 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | presentation-readiness | eb574acaa29d71ce4d0f852572e87c275c79fdb7 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | vendor-intelligence | fe9796a19c261951d3f2565206c0c1b5ac294465 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ws7-federal-signal | 6a9f6ce9cfb13345ffb47770d4960e7c2d9c17c2 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | ai-brain-live | aac32fc49c878cc5bca099459307611562d0bac1 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | phase2-connectors | e038d4c687aec16f8bd9bc4d907eea14d91f8704 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | feature/aioe-upgrade | 2178e7298d0e5d9af83afa12402fd587f0ba6ed8 | Open original |
| Janady13/missionmatch / internal/platform/inference/types.go | capture-readiness | bae6af7cb2997e819174a9e9cfff5e16067a1975 | Open original |
Recovered source transcript
Download complete source text ↓70 lines · 2.4 KB
package inference
// The wire types for the MEGAMIND inference plane. They are deliberately plain JSON structs shared in
// spirit with cmd/megamind-gateway, so the typed client and the stateless service agree on one contract.
// Vectors are float32 to match pgvector(384); the API never sends client identifiers to the plane.
// EmbedRequest asks for embeddings of one or more input strings under a named model.
type EmbedRequest struct {
Model string `json:"model"`
Inputs []string `json:"inputs"`
}
// EmbedResponse returns one vector per input plus the dimension, so the caller can hard fail on a
// mismatch with the pgvector column width.
type EmbedResponse struct {
Model string `json:"model"`
Dimension int `json:"dimension"`
Embeddings [][]float32 `json:"embeddings"`
}
// RerankRequest scores documents against a query with a cross encoder (or a cosine fallback).
type RerankRequest struct {
Model string `json:"model"`
Query string `json:"query"`
Documents []string `json:"documents"`
TopN int `json:"top_n"`
}
// RerankResult is one scored document, identified only by its index in the request (never by a client id).
type RerankResult struct {
Index int `json:"index"`
Score float64 `json:"score"`
}
// RerankResponse returns the reranked results, highest score first.
type RerankResponse struct {
Model string `json:"model"`
Results []RerankResult `json:"results"`
}
// GenerateRequest is a single stateless generation. System carries instructions; Prompt the question and
// retrieved evidence. The plane keeps nothing between calls.
type GenerateRequest struct {
Model string `json:"model"`
System string `json:"system"`
Prompt string `json:"prompt"`
MaxTokens int `json:"max_tokens"`
Temperature float64 `json:"temperature"`
}
// GenerateResponse is the model's text plus light accounting.
type GenerateResponse struct {
Model string `json:"model"`
Text string `json:"text"`
Tokens int `json:"tokens"`
}
// FaithfulnessRequest asks whether Answer is supported by Evidence. It is the self correction gate's input.
type FaithfulnessRequest struct {
Answer string `json:"answer"`
Evidence []string `json:"evidence"`
}
// FaithfulnessResponse reports support as a 0 to 1 score plus a boolean decision and a short reason.
type FaithfulnessResponse struct {
Supported bool `json:"supported"`
Score float64 `json:"score"`
Reason string `json:"reason"`
}