Files
ragflow/internal/agent/tool/tavily.go
Hz_ a7da78d0d7 refactor(go-agent): unify tool-backed canvas components (#16912)
## Summary

This PR consolidates Eino-backed Agent tools behind the shared
ToolBackedComponent implementation and aligns their Canvas
configuration,
runtime inputs, output conversion, validation, and registration.

## What changed

- Migrated these Canvas components to the unified tool-backed path:
    - Tavily Search and Extract
    - Execute SQL
    - Google
    - Yahoo Finance
    - Email
    - DuckDuckGo
    - Wikipedia
    - Google Scholar
    - ArXiv
    - PubMed
    - BGPT
    - GitHub
    - WenCai
    - SearXNG
    - Keenable Search

- Removed superseded component wrappers and their duplicate tests.
- Added dedicated registry builders for node-level configuration and
validation.
- Kept model-emitted runtime inputs separate from Canvas node
configuration.
- Moved Email defaults, template resolution, recipient parsing, SMTP
execution, and output conversion into the owning tool.
- Added complete ToolComponent specifications for Canvas inputs,
outputs, and input forms.
- Preserved raw upstream fields where downstream workflows may depend on
them.
- Added workflow registration coverage for all migrated component names.
- Kept HTTP Request, Docs Generator, and Browser as standalone
components because they are not Eino-backed tools.

## Testing

Passed:

bash build.sh --test ./internal/agent/tool/...
bash build.sh --test ./internal/agent/component/...
bash build.sh --test ./internal/agent/runtime/...

<img width="2057" height="1111" alt="image"
src="https://github.com/user-attachments/assets/c728d7a3-9d15-4c5c-b0eb-6b77ad0e41ac"
/>
<img width="2057" height="1111" alt="image"
src="https://github.com/user-attachments/assets/ef13119a-ef92-4b43-9061-eee9511bf492"
/>
<img width="2057" height="1111" alt="image"
src="https://github.com/user-attachments/assets/f50f2c30-eab0-463c-b0b3-0a02523219f1"
/>
2026-07-15 21:42:08 +08:00

674 lines
21 KiB
Go

//
// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
package tool
import (
"context"
"crypto/sha1"
"encoding/json"
"fmt"
"math/big"
"net/http"
"regexp"
"strconv"
"strings"
"unicode/utf8"
"github.com/cloudwego/eino/components/tool"
"github.com/cloudwego/eino/schema"
"ragflow/internal/common"
"ragflow/internal/tokenizer"
)
const tavilyToolName = "tavily_search"
const tavilyExtractToolName = "tavily_extract"
const tavilyToolDescription = "Search the web via the Tavily API. Returns a list of {url, title, content} results."
const tavilyPromptMaxTokens = 200000
var tavilyDataImagePattern = regexp.MustCompile(`!?\[[a-z]+\]\(data:image/png;base64,[ 0-9A-Za-z/_=+\-]+\)`)
var tavilyNewlinePattern = regexp.MustCompile(`\n+`)
// tavilyParams is the JSON shape the model sends into InvokableRun. The
// api_key may be omitted when the env var TAVILY_API_KEY is set; the tool
// resolves it from the environment in that case.
type tavilyParams struct {
APIKey string `json:"api_key"`
Query string `json:"query"`
MaxResults int `json:"max_results"`
SearchDepth string `json:"search_depth"`
Topic string `json:"topic"`
Days int `json:"days"`
IncludeAnswer bool `json:"include_answer"`
IncludeRawContent bool `json:"include_raw_content"`
IncludeImages bool `json:"include_images"`
IncludeImageDescriptions bool `json:"include_image_descriptions"`
IncludeDomains []string `json:"include_domains"`
ExcludeDomains []string `json:"exclude_domains"`
}
// tavilyRequestBody is the JSON body POSTed to the Tavily /search endpoint.
// The struct matches the upstream API (https://docs.tavily.com).
type tavilyRequestBody struct {
Query string `json:"query"`
MaxResults int `json:"max_results"`
SearchDepth string `json:"search_depth"`
Topic string `json:"topic,omitempty"`
Days int `json:"days"`
IncludeAnswer bool `json:"include_answer"`
IncludeRawContent bool `json:"include_raw_content"`
IncludeImages bool `json:"include_images"`
IncludeImageDescriptions bool `json:"include_image_descriptions"`
IncludeDomains []string `json:"include_domains,omitempty"`
ExcludeDomains []string `json:"exclude_domains,omitempty"`
}
// tavilyResponse preserves every upstream result field because Python exposes
// response["results"] directly through the Canvas json output.
type tavilyResponse struct {
Results []map[string]any `json:"results"`
}
// tavilyEnvelope is the shape the model actually sees, identical to the
// Python tool's output convention.
type tavilyEnvelope struct {
Results []map[string]any `json:"results"`
Error string `json:"_ERROR,omitempty"`
}
type tavilyExtractParams struct {
APIKey string `json:"api_key"`
URLs any `json:"urls"`
ExtractDepth string `json:"extract_depth"`
Format string `json:"format"`
}
type tavilyExtractRequestBody struct {
URLs []string `json:"urls"`
ExtractDepth string `json:"extract_depth"`
Format string `json:"format"`
IncludeImages bool `json:"include_images"`
}
type tavilyExtractResponse struct {
Results []map[string]any `json:"results"`
}
type tavilyExtractEnvelope struct {
Results []map[string]any `json:"results"`
Error string `json:"_ERROR,omitempty"`
}
// TavilyTool is the Tavily search
// tool. It POSTs a search request
// to https://api.tavily.com/search using the shared HTTPHelper and returns
// the upstream `results` array as JSON.
type TavilyTool struct {
helper *HTTPHelper
envKey func() string
defaults tavilyParams
}
// TavilyExtractTool is the Tavily Extract tool. It POSTs URLs to
// https://api.tavily.com/extract and returns the upstream results array.
type TavilyExtractTool struct {
helper *HTTPHelper
envKey func() string
defaults tavilyExtractParams
}
var _ ToolComponent = (*TavilyTool)(nil)
var _ ReferenceBuilder = (*TavilyTool)(nil)
var _ ToolComponent = (*TavilyExtractTool)(nil)
// NewTavilyTool returns a TavilyTool using the default HTTPHelper and
// the TAVILY_API_KEY env var for credential resolution.
func NewTavilyTool() *TavilyTool {
return newTavilyTool(nil, nil, tavilyParams{})
}
// NewTavilyToolWith returns a TavilyTool that uses the provided
// HTTPHelper. Useful for tests that want to inject a custom transport.
func NewTavilyToolWith(h *HTTPHelper) *TavilyTool {
return newTavilyTool(h, nil, tavilyParams{})
}
// NewTavilyToolWithEnvKey returns a TavilyTool with a custom env-key
// resolver. Useful for tests that want to inject a fake credential
// without mutating process state.
func NewTavilyToolWithEnvKey(h *HTTPHelper, envKey func() string) *TavilyTool {
return newTavilyTool(h, envKey, tavilyParams{})
}
func newTavilyTool(h *HTTPHelper, envKey func() string, defaults tavilyParams) *TavilyTool {
if h == nil {
h = NewHTTPHelper()
}
if envKey == nil {
envKey = defaultTavilyEnvKey
}
if defaults.MaxResults == 0 {
defaults.MaxResults = 6
}
if defaults.SearchDepth == "" {
defaults.SearchDepth = "basic"
}
if defaults.Topic == "" {
defaults.Topic = "general"
}
if defaults.Days == 0 {
defaults.Days = 14
}
return &TavilyTool{helper: h, envKey: envKey, defaults: defaults}
}
// NewTavilyExtractTool returns a TavilyExtractTool using the default HTTPHelper.
func NewTavilyExtractTool() *TavilyExtractTool {
return newTavilyExtractTool(nil, nil, tavilyExtractParams{})
}
// NewTavilyExtractToolWith returns a TavilyExtractTool using the provided helper.
func NewTavilyExtractToolWith(h *HTTPHelper) *TavilyExtractTool {
return newTavilyExtractTool(h, nil, tavilyExtractParams{})
}
// NewTavilyExtractToolWithEnvKey returns a TavilyExtractTool with a custom env-key resolver.
func NewTavilyExtractToolWithEnvKey(h *HTTPHelper, envKey func() string) *TavilyExtractTool {
return newTavilyExtractTool(h, envKey, tavilyExtractParams{})
}
func newTavilyExtractTool(h *HTTPHelper, envKey func() string, defaults tavilyExtractParams) *TavilyExtractTool {
if h == nil {
h = NewHTTPHelper()
}
if envKey == nil {
envKey = defaultTavilyEnvKey
}
if defaults.ExtractDepth == "" {
defaults.ExtractDepth = "basic"
}
if defaults.Format == "" {
defaults.Format = "markdown"
}
return &TavilyExtractTool{helper: h, envKey: envKey, defaults: defaults}
}
// defaultTavilyEnvKey is the production env-key resolver. Pulled out
// as a named function (not a var) so tests cannot accidentally
// mutate it via package-var assignment.
func defaultTavilyEnvKey() string { return common.GetEnv(common.EnvTavilyApiKey) }
// Info returns the tool's metadata for the chat model.
func (t *TavilyTool) Info(_ context.Context) (*schema.ToolInfo, error) {
return &schema.ToolInfo{
Name: tavilyToolName,
Desc: tavilyToolDescription,
ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
"query": {
Type: schema.String,
Desc: "Search query",
Required: true,
},
"topic": {
Type: schema.String,
Desc: `Search topic: "general" (default) or "news".`,
Required: false,
},
"include_domains": {
Type: schema.Array,
Desc: "Domains that search results must include.",
Required: false,
},
"exclude_domains": {
Type: schema.Array,
Desc: "Domains that search results must exclude.",
Required: false,
},
}),
}, nil
}
// Info returns the Tavily Extract tool metadata for the chat model.
func (t *TavilyExtractTool) Info(_ context.Context) (*schema.ToolInfo, error) {
return &schema.ToolInfo{
Name: tavilyExtractToolName,
Desc: "Extract web page content from one or more specified URLs using Tavily Extract.",
ParamsOneOf: schema.NewParamsOneOfByParams(map[string]*schema.ParameterInfo{
"urls": {
Type: schema.Array,
Desc: "The URLs to extract content from.",
Required: true,
},
"extract_depth": {
Type: schema.String,
Desc: `Extraction depth: "basic" (default) or "advanced".`,
Required: false,
},
"format": {
Type: schema.String,
Desc: `Output format: "markdown" (default) or "text".`,
Required: false,
},
}),
}, nil
}
// tavilyEndpoint is the Tavily /search URL. Exposed as a package var so
// tests can substitute a httptest.Server URL. Tests must serialize
// access with tavilyEndpointMu if running in parallel.
var tavilyEndpoint = "https://api.tavily.com/search"
// tavilyExtractEndpoint is the Tavily /extract URL. Exposed as a package var
// so tests can substitute it through rewriteHostTransport.
var tavilyExtractEndpoint = "https://api.tavily.com/extract"
// InvokableRun performs the Tavily search. The api_key may come from the
// argument or the TAVILY_API_KEY env var.
func (t *TavilyTool) InvokableRun(ctx context.Context, argsJSON string, _ ...tool.Option) (string, error) {
var p tavilyParams
if err := json.Unmarshal([]byte(argsJSON), &p); err != nil {
return tavilyErrJSON(fmt.Errorf("tavily: parse arguments: %w", err)),
fmt.Errorf("tavily: parse arguments: %w", err)
}
if p.Query == "" {
return tavilyJSON(tavilyEnvelope{Results: []map[string]any{}}), nil
}
var provided map[string]json.RawMessage
_ = json.Unmarshal([]byte(argsJSON), &provided)
p = mergeTavilyParams(t.defaults, p, provided)
apiKey := p.APIKey
if apiKey == "" {
apiKey = t.envKey()
}
if apiKey == "" {
return tavilyErrJSON(fmt.Errorf("tavily: api_key is required (or set TAVILY_API_KEY)")),
fmt.Errorf("tavily: api_key is required (or set TAVILY_API_KEY)")
}
body, _ := json.Marshal(tavilyRequestBody{
Query: p.Query,
MaxResults: p.MaxResults,
SearchDepth: p.SearchDepth,
Topic: defaultString(p.Topic, "general"),
Days: p.Days,
IncludeAnswer: p.IncludeAnswer,
IncludeRawContent: p.IncludeRawContent,
IncludeImages: p.IncludeImages,
IncludeImageDescriptions: p.IncludeImageDescriptions,
IncludeDomains: p.IncludeDomains,
ExcludeDomains: p.ExcludeDomains,
})
resp, err := t.helper.Do(ctx,
http.MethodPost, tavilyEndpoint, string(body), "application/json",
map[string]string{"Authorization": "Bearer " + apiKey},
)
if err != nil {
return tavilyErrJSON(err), err
}
defer resp.Body.Close()
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return tavilyErrJSON(fmt.Errorf("tavily: upstream returned %d", resp.StatusCode)),
fmt.Errorf("tavily: upstream returned %d", resp.StatusCode)
}
var raw tavilyResponse
if err := json.NewDecoder(resp.Body).Decode(&raw); err != nil {
return tavilyErrJSON(fmt.Errorf("tavily: decode response: %w", err)),
fmt.Errorf("tavily: decode response: %w", err)
}
return tavilyJSON(tavilyEnvelope{Results: raw.Results}), nil
}
func mergeTavilyParams(defaults, params tavilyParams, provided map[string]json.RawMessage) tavilyParams {
if params.APIKey == "" {
params.APIKey = defaults.APIKey
}
if params.MaxResults == 0 {
params.MaxResults = defaults.MaxResults
}
if params.SearchDepth == "" {
params.SearchDepth = defaults.SearchDepth
}
if params.Topic == "" {
params.Topic = defaults.Topic
}
if params.Days == 0 {
params.Days = defaults.Days
}
if params.IncludeDomains == nil {
params.IncludeDomains = defaults.IncludeDomains
}
if params.ExcludeDomains == nil {
params.ExcludeDomains = defaults.ExcludeDomains
}
if _, ok := provided["include_answer"]; !ok {
params.IncludeAnswer = defaults.IncludeAnswer
}
if _, ok := provided["include_raw_content"]; !ok {
params.IncludeRawContent = defaults.IncludeRawContent
}
if _, ok := provided["include_images"]; !ok {
params.IncludeImages = defaults.IncludeImages
}
if _, ok := provided["include_image_descriptions"]; !ok {
params.IncludeImageDescriptions = defaults.IncludeImageDescriptions
}
return params
}
// ComponentSpec returns TavilySearch's Canvas-facing metadata.
func (t *TavilyTool) ComponentSpec() ComponentSpec {
return ComponentSpec{
Inputs: map[string]string{
"query": "Search query.",
"topic": `Search topic: "general" or "news".`,
"include_domains": "Domains that search results must include.",
"exclude_domains": "Domains that search results must exclude.",
},
Outputs: map[string]string{
"formalized_content": "Rendered Tavily references for downstream prompts.",
"json": "Raw Tavily result list.",
},
InputForm: map[string]any{
"query": map[string]any{"name": "Query", "type": "line"},
"topic": map[string]any{"name": "Topic", "type": "line"},
"include_domains": map[string]any{"name": "Include domains", "type": "line"},
"exclude_domains": map[string]any{"name": "Exclude domains", "type": "line"},
},
}
}
func (t *TavilyTool) BuildReferences(_ context.Context, envelope map[string]any) ([]map[string]any, []map[string]any) {
return buildTavilyReferences(envelope)
}
func (t *TavilyTool) BuildComponentOutputs(envelope map[string]any) map[string]any {
results := envelopeSlice(envelope, "results")
chunks, _ := buildTavilyReferences(envelope)
return map[string]any{
"formalized_content": renderTavilyReferences(chunks, tavilyPromptMaxTokens),
"json": results,
}
}
func buildTavilyReferences(envelope map[string]any) ([]map[string]any, []map[string]any) {
results := envelopeSlice(envelope, "results")
chunks := make([]map[string]any, 0, len(results))
docAggs := make([]map[string]any, 0, len(results))
for _, result := range results {
item, ok := result.(map[string]any)
if !ok {
continue
}
content := tavilyText(item["raw_content"])
if content == "" {
content = tavilyText(item["content"])
}
content = tavilyDataImagePattern.ReplaceAllString(content, "")
content = truncateTavilyRunes(content, 10000)
if content == "" {
continue
}
documentID := strconv.FormatInt(tavilyHashInt(content, 100000000), 10)
displayID := strconv.FormatInt(tavilyHashInt(documentID, 500), 10)
title := tavilyText(item["title"])
resultURL := tavilyText(item["url"])
score := item["score"]
chunks = append(chunks, map[string]any{
"id": displayID,
"chunk_id": documentID,
"content": content,
"doc_id": documentID,
"document_id": documentID,
"docnm_kwd": title,
"document_name": title,
"similarity": score,
"score": score,
"url": resultURL,
})
docAggs = append(docAggs, map[string]any{
"doc_name": title,
"doc_id": documentID,
"count": 1,
"url": resultURL,
})
}
return chunks, docAggs
}
func renderTavilyReferences(chunks []map[string]any, maxTokens int) string {
usedTokens := 0
blocks := make([]string, 0, len(chunks))
for _, chunk := range chunks {
content := tavilyText(chunk["content"])
if content == "" {
continue
}
usedTokens += tokenizer.NumTokensFromString(content)
blocks = append(blocks, strings.Join([]string{
"\nID: " + tavilyText(chunk["id"]),
"├── Title: " + tavilyPromptField(chunk["document_name"]),
"├── URL: " + tavilyPromptField(chunk["url"]),
"└── Content:\n" + content,
}, "\n"))
if maxTokens > 0 && float64(maxTokens)*0.97 < float64(usedTokens) {
break
}
}
return strings.Join(blocks, "\n")
}
func tavilyText(value any) string {
if value == nil {
return ""
}
if text, ok := value.(string); ok {
return text
}
return fmt.Sprint(value)
}
func tavilyPromptField(value any) string {
return tavilyNewlinePattern.ReplaceAllString(tavilyText(value), " ")
}
func tavilyHashInt(value string, modulus int64) int64 {
digest := sha1.Sum([]byte(value))
number := new(big.Int).SetBytes(digest[:])
return new(big.Int).Mod(number, big.NewInt(modulus)).Int64()
}
func truncateTavilyRunes(value string, limit int) string {
if utf8.RuneCountInString(value) <= limit {
return value
}
return string([]rune(value)[:limit])
}
// InvokableRun performs the Tavily Extract request. The api_key may come from
// the argument or the TAVILY_API_KEY env var.
func (t *TavilyExtractTool) InvokableRun(ctx context.Context, argsJSON string, _ ...tool.Option) (string, error) {
var runtimeParams tavilyExtractParams
if err := json.Unmarshal([]byte(argsJSON), &runtimeParams); err != nil {
return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: parse arguments: %w", err)),
fmt.Errorf("tavily_extract: parse arguments: %w", err)
}
p := mergeTavilyExtractParams(t.defaults, runtimeParams)
urls := normalizeTavilyURLs(p.URLs)
if len(urls) == 0 {
return tavilyExtractErrJSON(fmt.Errorf("urls is required")),
fmt.Errorf("tavily_extract: urls is required")
}
if p.ExtractDepth == "" {
p.ExtractDepth = "basic"
}
if p.Format == "" {
p.Format = "markdown"
}
apiKey := p.APIKey
if apiKey == "" {
apiKey = t.envKey()
}
if apiKey == "" {
return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: api_key is required (or set TAVILY_API_KEY)")),
fmt.Errorf("tavily_extract: api_key is required (or set TAVILY_API_KEY)")
}
body, _ := json.Marshal(tavilyExtractRequestBody{
URLs: urls,
ExtractDepth: p.ExtractDepth,
Format: p.Format,
IncludeImages: false,
})
resp, err := t.helper.Do(ctx,
http.MethodPost, tavilyExtractEndpoint, string(body), "application/json",
map[string]string{"Authorization": "Bearer " + apiKey},
)
if err != nil {
return tavilyExtractErrJSON(err), err
}
defer resp.Body.Close()
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: upstream returned %d", resp.StatusCode)),
fmt.Errorf("tavily_extract: upstream returned %d", resp.StatusCode)
}
var raw tavilyExtractResponse
if err := json.NewDecoder(resp.Body).Decode(&raw); err != nil {
return tavilyExtractErrJSON(fmt.Errorf("tavily_extract: decode response: %w", err)),
fmt.Errorf("tavily_extract: decode response: %w", err)
}
return tavilyExtractJSON(tavilyExtractEnvelope{Results: raw.Results}), nil
}
func mergeTavilyExtractParams(defaults, params tavilyExtractParams) tavilyExtractParams {
if params.APIKey == "" {
params.APIKey = defaults.APIKey
}
if params.URLs == nil {
params.URLs = defaults.URLs
}
if params.ExtractDepth == "" {
params.ExtractDepth = defaults.ExtractDepth
}
if params.Format == "" {
params.Format = defaults.Format
}
return params
}
// ComponentSpec returns the Python-compatible TavilyExtract Canvas surface.
func (t *TavilyExtractTool) ComponentSpec() ComponentSpec {
return ComponentSpec{
Inputs: map[string]string{
"urls": "The URLs to extract content from.",
"extract_depth": `Extraction depth: "basic" or "advanced".`,
"format": `Output format: "markdown" or "text".`,
},
Outputs: map[string]string{
"json": "Raw Tavily Extract results.",
},
InputForm: map[string]any{
"urls": map[string]any{"name": "URLs", "type": "line"},
"extract_depth": map[string]any{"name": "Extract depth", "type": "line"},
"format": map[string]any{"name": "Format", "type": "line"},
},
}
}
// BuildComponentOutputs converts TavilyExtract's complete tool envelope into
// its public Canvas outputs.
func (t *TavilyExtractTool) BuildComponentOutputs(envelope map[string]any) map[string]any {
return map[string]any{"json": envelopeSlice(envelope, "results")}
}
// tavilyJSON marshals the envelope to a JSON string for the model.
func tavilyJSON(env tavilyEnvelope) string {
b, err := json.Marshal(env)
if err != nil {
return fmt.Sprintf(`{"_ERROR":"tavily: marshal result: %s"}`, err)
}
return string(b)
}
// tavilyErrJSON wraps an error in the standard envelope.
func tavilyErrJSON(err error) string {
return tavilyJSON(tavilyEnvelope{Error: err.Error()})
}
func tavilyExtractJSON(env tavilyExtractEnvelope) string {
b, err := json.Marshal(env)
if err != nil {
return fmt.Sprintf(`{"_ERROR":"tavily_extract: marshal result: %s"}`, err)
}
return string(b)
}
func tavilyExtractErrJSON(err error) string {
return tavilyExtractJSON(tavilyExtractEnvelope{Error: err.Error()})
}
func normalizeTavilyURLs(raw any) []string {
switch v := raw.(type) {
case string:
return splitTavilyURLs(v)
case []string:
return compactStrings(v)
case []any:
out := make([]string, 0, len(v))
for _, item := range v {
if s, ok := item.(string); ok {
out = append(out, s)
}
}
return compactStrings(out)
default:
return nil
}
}
func splitTavilyURLs(s string) []string {
parts := strings.Split(s, ",")
return compactStrings(parts)
}
func compactStrings(in []string) []string {
out := make([]string, 0, len(in))
for _, s := range in {
if trimmed := strings.TrimSpace(s); trimmed != "" {
out = append(out, trimmed)
}
}
return out
}
func defaultString(v, fallback string) string {
if v == "" {
return fallback
}
return v
}